As we look forward to the start of a new year, we wanted to reflect on cloud adoption trends from Financial Market Infrastructure providers (FMIs) for the second half of 2024. Over the last six months, FMIs, such as exchanges, clearing houses (CCPs) and security depositories (CSDs), accelerated ...

Financial Market Infrastructure Providers Cloud Adoption Trends for 2H24 | Amazon Web Services

If you're looking to transport yourself to a world where the past and future collide, retro-futuristic movies are the ideal pick, especially for science fiction fans. These movies have a unique way of blending the hopes and fears of the eras they reflect, providing viewers with intriguing takes ...

The 10 Best Retro-Futuristic Movies, Ranked

The U.S. has updated a decades-old science and technology agreement with China to reflect their growing rivalry for technological dominance. The new agreement, signed Friday after many months of negotiations, has a narrower scope and additional safeguards to minimize the risk to national security.

U.S. updating science and technology pact with China to reflect growing rivalry and security threats - Washington Times

Timbs, executive director of the Statewide School Finance Consortium, explains why he feels the report doesn’t accurately reflect the real-world pressures on school districts and attempts to make understandable how the changes proposed to the formula might affect individual types of school ...

New York school finance expert explains impact of Foundation Aid proposals

The gaming giant's joint CEOs reflect on its past and future as it celebrates its 30th anniversary.

PlayStation boss: AI will never replace 'human touch' - BBC News

On Tuesday, developing countries rejected a draft of the new climate finance goal, saying that it did not accurately reflect their concerns

COP29: African Nations Say Attempts to Broaden Climate Finance Donor Base Biggest Obstacle in Talks

We’re getting to that time of year, when we wind down and reflect on the prior months and start planning for the year ahead. For any business owner, thinking through

GROW WITH GRO GREATER: Top 5 cybersecurity basics for any small business | News | columbiacountyspotlight.com

reflect

HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today! Tell us about yourself! Hi! I'm Lutsia, and I work in HR in IT. I've been doing this for over 12 years now, and I've worked with some amazing companies like gamedev, dating, music-tech, and social. Now, I'm the HR director of an international company that's doing well developing cool mobile apps for social media. My job is all about making sure the company has a great HR strategy, taking care of all the employees, and helping the business grow by developing its people. My company's products are doing well (currently, only Tinder has more installs than us) and we're seeing over 6 million installs every month. I am an active mentor in various communities such as Women in Tech, Miranna.io, ADP.list, I have done more than 100 consultations and helped more than 100 people to achieve their goals in IT. Why did you choose this field in the first place? I've always loved studying people and watching talent grow, so it's a perfect fit for me. In HR, it's all about communication, and in the tech industry, it's a bit of a challenge because there are so many introverts who need individual attention. I've got a Master's in Human Resources Management, and I absolutely love what I do. What tech are you most worried about right now and why? I'm really interested in technologies that can predict how long employees will stay with a company (like prediction models for employee tenure) and assessing soft skills. Human psychology is such a complex system, isn't it? I find the standard approaches don't always work, which makes it a constant challenge in the world of people management to assess team effectiveness. What are your hobbies and interests outside of tech? When I'm not doing that, I love nothing more than spending time with my family and friends, or enjoying a good book. I'm a music lover – playing the keyboard and singing are two of my favourite pastimes. I'm also a keen outdoorsy person, and I love nothing more than a good hike! A couple of years ago, I discovered the wonderful world of mentoring, which is a really cool side activity that energises me by interacting with talented people and being useful. Let's talk about breaking the glass ceiling. What were the biggest challenges you faced as a woman in tech, and how did you deal with them? I started my career in the tech industry, in startups and scale-ups, so I had direct contact with founders and was lucky to avoid unpleasant situations with the glass ceiling. But I would like to see more girls among CEOs and founders of companies. I plan to launch my own project one day. Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? When I was just starting out in my career, over 12 years ago now, I was working in talent acquisition. I remember how hiring managers would sometimes reject female candidates for developer positions just because they were girls, or because they thought programming was just not a job for women. I remember my first driving instructor always telling me that driving was not for women, but I don't encounter this now. As a HR leader, I try to nip such stories in the bud. What was the biggest setback/failure that you faced, and how did you manage it? My biggest failure was my personal and professional burnout in 2019. I was deeply immersed in the topic and clearly knew the markers of this condition, but unfortunately, I was not able to prevent it in time. However, I learnt my lesson, and I am now much more attentive to my energy levels and have improved my delegating skills even more! What's your biggest achievement that you're really proud of? I have reached a high position just in 7 years - HR director in a fast-growing global technology company, every day I do what I love and develop not only the team, overseeing the unlocking of immense human potential, but also being involved in creating products that make a difference in this world and make life better for millions of people. I have extensive mentoring experience and have helped hundreds of people find their successful path to self-realisation in the industry. I am surrounded by amazingly smart and caring people who create beautiful things. In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? The tech industry is still pretty new, so I think there are some historical and cultural things going on that are holding it back. But I do see a lot of tech companies trying to make things better, which is great. They're putting in place these DEI policies, which is really important. I'm part of a group that supports women in IT, and I think it's a vital mission. I would love to see more support, grants, quotas and investments for start-ups created by women.It would be great to change the media narrative and promote the idea that technology is a universal field where gender doesn't matter. We should be creating content that's focused on engaging women and breaking stereotypes. From a company perspective and as a C-Level, it's important to implement training to overcome unconscious bias. Who is your tech idol? Why? I really look up to Sheryl Sandberg, ex-COO of Meta and author of Lean In: Women, Work, and the Will to Lead. She started the global Lean In movement, which connects women through professional networks, support circles, and educational programs. This movement helps women in IT find like-minded people, develop skills and build careers. I really admire how she's so open about the personal struggles she's had, including the loss of her husband. It's so inspiring to see how she's managed to be so successful and still remain human and vulnerable. Do you have any advice for aspiring girls who want to join the field? My advice for girls starting out in HR Tech is to be tenacious in achieving results, and you'll be glad to hear that there are so many opportunities for training and projects now, including through tech communities where you can find first projects and get hands-on experience.It's also great to find a mentor who has already travelled this path and will help you overcome any obstacles and move faster in your professional development. Be open, ask for advice and share your experiences – you'll be amazed at the opportunities out there! HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today! HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today! HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today! HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today ! this interview series with women in tech Share your story today Tell us about yourself! Tell us about yourself! Hi! I'm Lutsia, and I work in HR in IT. I've been doing this for over 12 years now, and I've worked with some amazing companies like gamedev, dating, music-tech, and social. Now, I'm the HR director of an international company that's doing well developing cool mobile apps for social media. My job is all about making sure the company has a great HR strategy, taking care of all the employees, and helping the business grow by developing its people. My company's products are doing well (currently, only Tinder has more installs than us) and we're seeing over 6 million installs every month. I am an active mentor in various communities such as Women in Tech, Miranna.io, ADP.list, I have done more than 100 consultations and helped more than 100 people to achieve their goals in IT. Why did you choose this field in the first place? Why did you choose this field in the first place? I've always loved studying people and watching talent grow, so it's a perfect fit for me. In HR, it's all about communication, and in the tech industry, it's a bit of a challenge because there are so many introverts who need individual attention. I've got a Master's in Human Resources Management, and I absolutely love what I do. What tech are you most worried about right now and why? What tech are you most worried about right now and why? I'm really interested in technologies that can predict how long employees will stay with a company (like prediction models for employee tenure) and assessing soft skills. Human psychology is such a complex system, isn't it? I find the standard approaches don't always work, which makes it a constant challenge in the world of people management to assess team effectiveness. What are your hobbies and interests outside of tech? What are your hobbies and interests outside of tech? When I'm not doing that, I love nothing more than spending time with my family and friends, or enjoying a good book. I'm a music lover – playing the keyboard and singing are two of my favourite pastimes. I'm also a keen outdoorsy person, and I love nothing more than a good hike! A couple of years ago, I discovered the wonderful world of mentoring, which is a really cool side activity that energises me by interacting with talented people and being useful. Let's talk about breaking the glass ceiling. What were the biggest challenges you faced as a woman in tech, and how did you deal with them? Let's talk about breaking the glass ceiling. What were the biggest challenges you faced as a woman in tech, and how did you deal with them? I started my career in the tech industry, in startups and scale-ups, so I had direct contact with founders and was lucky to avoid unpleasant situations with the glass ceiling. But I would like to see more girls among CEOs and founders of companies. I plan to launch my own project one day. Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? When I was just starting out in my career, over 12 years ago now, I was working in talent acquisition. I remember how hiring managers would sometimes reject female candidates for developer positions just because they were girls, or because they thought programming was just not a job for women. I remember my first driving instructor always telling me that driving was not for women, but I don't encounter this now. As a HR leader, I try to nip such stories in the bud. What was the biggest setback/failure that you faced, and how did you manage it? What was the biggest setback/failure that you faced, and how did you manage it? My biggest failure was my personal and professional burnout in 2019. I was deeply immersed in the topic and clearly knew the markers of this condition, but unfortunately, I was not able to prevent it in time. However, I learnt my lesson, and I am now much more attentive to my energy levels and have improved my delegating skills even more! What's your biggest achievement that you're really proud of? What's your biggest achievement that you're really proud of? I have reached a high position just in 7 years - HR director in a fast-growing global technology company, every day I do what I love and develop not only the team, overseeing the unlocking of immense human potential, but also being involved in creating products that make a difference in this world and make life better for millions of people. I have extensive mentoring experience and have helped hundreds of people find their successful path to self-realisation in the industry. I am surrounded by amazingly smart and caring people who create beautiful things. In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? The tech industry is still pretty new, so I think there are some historical and cultural things going on that are holding it back. But I do see a lot of tech companies trying to make things better, which is great. They're putting in place these DEI policies, which is really important. I'm part of a group that supports women in IT, and I think it's a vital mission. I would love to see more support, grants, quotas and investments for start-ups created by women.It would be great to change the media narrative and promote the idea that technology is a universal field where gender doesn't matter. We should be creating content that's focused on engaging women and breaking stereotypes. From a company perspective and as a C-Level, it's important to implement training to overcome unconscious bias. Who is your tech idol? Why? Who is your tech idol? Why? I really look up to Sheryl Sandberg, ex-COO of Meta and author of Lean In: Women, Work, and the Will to Lead. She started the global Lean In movement, which connects women through professional networks, support circles, and educational programs. This movement helps women in IT find like-minded people, develop skills and build careers. I really admire how she's so open about the personal struggles she's had, including the loss of her husband. It's so inspiring to see how she's managed to be so successful and still remain human and vulnerable. Do you have any advice for aspiring girls who want to join the field? Do you have any advice for aspiring girls who want to join the field? My advice for girls starting out in HR Tech is to be tenacious in achieving results, and you'll be glad to hear that there are so many opportunities for training and projects now, including through tech communities where you can find first projects and get hands-on experience.It's also great to find a mentor who has already travelled this path and will help you overcome any obstacles and move faster in your professional development. Be open, ask for advice and share your experiences – you'll be amazed at the opportunities out there!

HR Director Lutsia Gorelova Reflects on What's Changed In IT Hiring Over The Past Few Decades

Authors:
(1) Howard Zhong, MIT CSAIL (howardzh@mit.edu);
(2) Mark Hamilton, MIT CSAIL, Microsoft (markth@mit.edu). Table of Links Abstract and 1 Introduction 2 Methodology 3 Results 3.1 CryptoPunks 3.2 Aggregate NFT Market 4 Discussion 5. Conclusion/ Acknowledgements/ References A Appendix A.1 Implementation Details A.2 Detailed NFT Information & A.3 Google NFT Searches Map 4. Discussion We seek to determine what mechanisms produce the different biases and why there exists racial bias but not gender bias in the prices of NFTs. Most NFTs in the market, especially those with gender and race attributes, represent avatars. These NFTs, especially expensive ones like CryptoPunks, can be used as profile picture, and thus people may prefer NFTs that look similar to themselves. We thus believe the demographics of NFT investors are the mechanisms that produce these biases. According to a data by Statistica [2] [4], among the age group (18-34) with the largest interest in NFTs, men and women own NFTs fairly equally with 24% men and 21% women of total investor population. Thus, the fact we do not observe gender bias in NFT prices could be due to investors being roughly balanced across gender. However, the distribution of NFT buyers may be skewed white, which explains the existence of racial bias. Using Google searches as a proxy on the amount of NFT investors in a region, in the past five years, we found that the term “NFT” was most searched in East Asia and North America and least searched in Africa and India. Thus, more lighter-skinned people are interested in NFTs compared to darker-skinned people and may be why lighter-skinned NFTs are more in demand. The full map of Google searches can be found in Figure 7 in Appendix A.3. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Howard Zhong, MIT CSAIL (howardzh@mit.edu); (2) Mark Hamilton, MIT CSAIL, Microsoft (markth@mit.edu). Authors: Authors: (1) Howard Zhong, MIT CSAIL (howardzh@mit.edu); (2) Mark Hamilton, MIT CSAIL, Microsoft (markth@mit.edu). Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Methodology 2 Methodology 3 Results 3.1 CryptoPunks 3.1 CryptoPunks 3.2 Aggregate NFT Market 3.2 Aggregate NFT Market 4 Discussion 4 Discussion 5. Conclusion/ Acknowledgements/ References Conclusion/ Acknowledgements/ References A Appendix A Appendix A.1 Implementation Details A.1 Implementation Details A.2 Detailed NFT Information & A.3 Google NFT Searches Map A.2 Detailed NFT Information & A.3 Google NFT Searches Map 4. Discussion We seek to determine what mechanisms produce the different biases and why there exists racial bias but not gender bias in the prices of NFTs. Most NFTs in the market, especially those with gender and race attributes, represent avatars. These NFTs, especially expensive ones like CryptoPunks, can be used as profile picture, and thus people may prefer NFTs that look similar to themselves. We thus believe the demographics of NFT investors are the mechanisms that produce these biases. According to a data by Statistica [2] [4], among the age group (18-34) with the largest interest in NFTs, men and women own NFTs fairly equally with 24% men and 21% women of total investor population. Thus, the fact we do not observe gender bias in NFT prices could be due to investors being roughly balanced across gender. However, the distribution of NFT buyers may be skewed white, which explains the existence of racial bias. Using Google searches as a proxy on the amount of NFT investors in a region, in the past five years, we found that the term “NFT” was most searched in East Asia and North America and least searched in Africa and India. Thus, more lighter-skinned people are interested in NFTs compared to darker-skinned people and may be why lighter-skinned NFTs are more in demand. The full map of Google searches can be found in Figure 7 in Appendix A.3. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Absence of Gender Bias in NFT Prices Likely Reflects Balanced Investor Demographics

Why Homo Sapiens Are Addicted to Self-Reflections: A Spotify Wrapped Introspective

Author:
(1) David Staines. Table of Links Abstract 1 Introduction 2 Mathematical Arguments 3 Outline and Preview 4 Calvo Framework and 4.1 Household’s Problem 4.2 Preferences 4.3 Household Equilibrium Conditions 4.4 Price-Setting Problem 4.5 Nominal Equilibrium Conditions 4.6 Real Equilibrium Conditions and 4.7 Shocks 4.8 Recursive Equilibrium 5 Existing Solutions 5.1 Singular Phillips Curve 5.2 Persistence and Policy Puzzles 5.3 Two Comparison Models 5.4 Lucas Critique 6 Stochastic Equilibrium and 6.1 Ergodic Theory and Random Dynamical Systems 6.2 Equilibrium Construction 6.3 Literature Comparison 6.4 Equilibrium Analysis 7 General Linearized Phillips Curve 7.1 Slope Coefficients 7.2 Error Coefficients 8 Existence Results and 8.1 Main Results 8.2 Key Proofs 8.3 Discussion 9 Bifurcation Analysis 9.1 Analytic Aspects 9.2 Algebraic Aspects (I) Singularities and Covers 9.3 Algebraic Aspects (II) Homology 9.4 Algebraic Aspects (III) Schemes 9.5 Wider Economic Interpretations 10 Econometric and Theoretical Implications and 10.1 Identification and Trade-offs 10.2 Econometric Duality 10.3 Coefficient Properties 10.4 Microeconomic Interpretation 11 Policy Rule 12 Conclusions and References Appendices A Proof of Theorem 2 and A.1 Proof of Part (i) A.2 Behaviour of ∆ A.3 Proof Part (iii) B Proofs from Section 4 and B.1 Individual Product Demand (4.2) B.2 Flexible Price Equilibrium and ZINSS (4.4) B.3 Price Dispersion (4.5) B.4 Cost Minimization (4.6) and (10.4) B.5 Consolidation (4.8) C Proofs from Section 5, and C.1 Puzzles, Policy and Persistence C.2 Extending No Persistence D Stochastic Equilibrium and D.1 Non-Stochastic Equilibrium D.2 Profits and Long-Run Growth E Slopes and Eigenvalues and E.1 Slope Coefficients E.2 Linearized DSGE Solution E.3 Eigenvalue Conditions E.4 Rouche’s Theorem Conditions F Abstract Algebra and F.1 Homology Groups F.2 Basic Categories F.3 De Rham Cohomology F.4 Marginal Costs and Inflation G Further Keynesian Models and G.1 Taylor Pricing G.2 Calvo Wage Phillips Curve G.3 Unconventional Policy Settings H Empirical Robustness and H.1 Parameter Selection H.2 Phillips Curve I Additional Evidence and I.1 Other Structural Parameters I.2 Lucas Critique I.3 Trend Inflation Volatility 7.2 Error Coefficients 7.2.1 Coefficient Expressions The starting point is the infinite horizon solutions, which states how present deviations depend on present and past shocks. For the expectation variables it implies The first two steps remove expectations to focus on future variables. The third treats lag terms. The fourth is consolidation, the fifth deals with the Euler and the sixth puts them all together. Proceeding through the derivation in order, it is clear that The coefficients have been organised so that the bracketed terms will be positive when computed in the small noise limit at strictly positive rates of trend inflation, as this is a focal alternative to ZINSS.[57] To dig down to primitives it is necessary to expand out the weighting term as follows: Expanding forward using (139), (140) and the primitive properties of the errors yields Thus, I can substitute back into (146) to solve for the third error in terms of the canonical expansions. The unwieldy expression is suppressed. An algorithm for a solution, in terms of the stochastic equilibrium expansion coefficients, would be useful, alongside a method of numerical approximation. However, these tasks lie beyond the boundaries of this investigation. The rest of the derivation is quite simple Combining (139), (140), (149)-(151) gives the following cumbersome expression for the Phillips curve errors All subsequent error forms can be derived easily from this point. 7.2.2 Limiting Solution Now denoting the errors in (117) in the style of the slope coefficients Hence, I am able to solve for the error coefficient using the output term in (112), the error expression (150) and the symmetry implied by (151) and (152) This paper is available on arxiv under CC 4.0 license. Author: (1) David Staines. Author: Author: (1) David Staines. Table of Links Abstract Abstract 1 Introduction 1 Introduction 2 Mathematical Arguments 2 Mathematical Arguments 3 Outline and Preview 3 Outline and Preview 4 Calvo Framework and 4.1 Household’s Problem 4 Calvo Framework and 4.1 Household’s Problem 4.2 Preferences 4.2 Preferences 4.3 Household Equilibrium Conditions 4.3 Household Equilibrium Conditions 4.4 Price-Setting Problem 4.4 Price-Setting Problem 4.5 Nominal Equilibrium Conditions 4.5 Nominal Equilibrium Conditions 4.6 Real Equilibrium Conditions and 4.7 Shocks 4.6 Real Equilibrium Conditions and 4.7 Shocks 4.8 Recursive Equilibrium 4.8 Recursive Equilibrium 5 Existing Solutions 5 Existing Solutions 5.1 Singular Phillips Curve 5.1 Singular Phillips Curve 5.2 Persistence and Policy Puzzles 5.2 Persistence and Policy Puzzles 5.3 Two Comparison Models 5.3 Two Comparison Models 5.4 Lucas Critique 5.4 Lucas Critique 6 Stochastic Equilibrium and 6.1 Ergodic Theory and Random Dynamical Systems 6 Stochastic Equilibrium and 6.1 Ergodic Theory and Random Dynamical Systems 6.2 Equilibrium Construction 6.2 Equilibrium Construction 6.3 Literature Comparison 6.3 Literature Comparison 6.4 Equilibrium Analysis 6.4 Equilibrium Analysis 7 General Linearized Phillips Curve 7 General Linearized Phillips Curve 7.1 Slope Coefficients 7.1 Slope Coefficients 7.2 Error Coefficients 7.2 Error Coefficients 8 Existence Results and 8.1 Main Results 8 Existence Results and 8.1 Main Results 8.2 Key Proofs 8.2 Key Proofs 8.3 Discussion 8.3 Discussion 9 Bifurcation Analysis 9 Bifurcation Analysis 9.1 Analytic Aspects 9.1 Analytic Aspects 9.2 Algebraic Aspects (I) Singularities and Covers 9.2 Algebraic Aspects (I) Singularities and Covers 9.3 Algebraic Aspects (II) Homology 9.3 Algebraic Aspects (II) Homology 9.4 Algebraic Aspects (III) Schemes 9.4 Algebraic Aspects (III) Schemes 9.5 Wider Economic Interpretations 9.5 Wider Economic Interpretations 10 Econometric and Theoretical Implications and 10.1 Identification and Trade-offs 10 Econometric and Theoretical Implications and 10.1 Identification and Trade-offs 10.2 Econometric Duality 10.2 Econometric Duality 10.3 Coefficient Properties 10.3 Coefficient Properties 10.4 Microeconomic Interpretation 10.4 Microeconomic Interpretation 11 Policy Rule 11 Policy Rule 12 Conclusions and References 12 Conclusions and References Appendices Appendices A Proof of Theorem 2 and A.1 Proof of Part (i) A Proof of Theorem 2 and A.1 Proof of Part (i) A.2 Behaviour of ∆ A.2 Behaviour of ∆ A.3 Proof Part (iii) A.3 Proof Part (iii) B Proofs from Section 4 and B.1 Individual Product Demand (4.2) B Proofs from Section 4 and B.1 Individual Product Demand (4.2) B.2 Flexible Price Equilibrium and ZINSS (4.4) B.2 Flexible Price Equilibrium and ZINSS (4.4) B.3 Price Dispersion (4.5) B.3 Price Dispersion (4.5) B.4 Cost Minimization (4.6) and (10.4) B.4 Cost Minimization (4.6) and (10.4) B.5 Consolidation (4.8) B.5 Consolidation (4.8) C Proofs from Section 5, and C.1 Puzzles, Policy and Persistence C Proofs from Section 5, and C.1 Puzzles, Policy and Persistence C.2 Extending No Persistence C.2 Extending No Persistence D Stochastic Equilibrium and D.1 Non-Stochastic Equilibrium D Stochastic Equilibrium and D.1 Non-Stochastic Equilibrium D.2 Profits and Long-Run Growth D.2 Profits and Long-Run Growth E Slopes and Eigenvalues and E.1 Slope Coefficients E Slopes and Eigenvalues and E.1 Slope Coefficients E.2 Linearized DSGE Solution E.2 Linearized DSGE Solution E.3 Eigenvalue Conditions E.3 Eigenvalue Conditions E.4 Rouche’s Theorem Conditions E.4 Rouche’s Theorem Conditions F Abstract Algebra and F.1 Homology Groups F Abstract Algebra and F.1 Homology Groups F.2 Basic Categories F.2 Basic Categories F.3 De Rham Cohomology F.3 De Rham Cohomology F.4 Marginal Costs and Inflation F.4 Marginal Costs and Inflation G Further Keynesian Models and G.1 Taylor Pricing G Further Keynesian Models and G.1 Taylor Pricing G.2 Calvo Wage Phillips Curve G.2 Calvo Wage Phillips Curve G.3 Unconventional Policy Settings G.3 Unconventional Policy Settings H Empirical Robustness and H.1 Parameter Selection H Empirical Robustness and H.1 Parameter Selection H.2 Phillips Curve H.2 Phillips Curve I Additional Evidence and I.1 Other Structural Parameters I Additional Evidence and I.1 Other Structural Parameters I.2 Lucas Critique I.2 Lucas Critique I.3 Trend Inflation Volatility I.3 Trend Inflation Volatility 7.2 Error Coefficients 7.2.1 Coefficient Expressions The starting point is the infinite horizon solutions, which states how present deviations depend on present and past shocks. For the expectation variables it implies The first two steps remove expectations to focus on future variables. The third treats lag terms. The fourth is consolidation, the fifth deals with the Euler and the sixth puts them all together. Proceeding through the derivation in order, it is clear that The coefficients have been organised so that the bracketed terms will be positive when computed in the small noise limit at strictly positive rates of trend inflation, as this is a focal alternative to ZINSS.[57] To dig down to primitives it is necessary to expand out the weighting term as follows: Expanding forward using (139), (140) and the primitive properties of the errors yields Thus, I can substitute back into (146) to solve for the third error in terms of the canonical expansions. The unwieldy expression is suppressed. An algorithm for a solution, in terms of the stochastic equilibrium expansion coefficients, would be useful, alongside a method of numerical approximation. However, these tasks lie beyond the boundaries of this investigation. The rest of the derivation is quite simple Combining (139), (140), (149)-(151) gives the following cumbersome expression for the Phillips curve errors All subsequent error forms can be derived easily from this point. 7.2.2 Limiting Solution 7.2.2 Limiting Solution Now denoting the errors in (117) in the style of the slope coefficients Hence, I am able to solve for the error coefficient using the output term in (112), the error expression (150) and the symmetry implied by (151) and (152) This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

How Error Coefficients Reflect Stochastic Equilibrium Expansions in Inflation Models

You heard it right, Startups of The Year is back for its 3rd season! Startups of The Year is a community-driven event created and powered by HackerNoon’s proprietary software, dedicated to recognizing and celebrating tech startups that are making a positive impact on technology and the world. Closing on Startups of The Year 2023, we have achieved a total of 623K+ votes from the community (triple from the prior year) to 30,000+ startups across 4200+ cities ✨🙌 This year we set out to shine the Spotlight on Tech’s Shining Stars (yes, all 150,000 of them 🤭) Coming on to the podium, have you prepared a speech? If not, let this article be your guide to 2024’s Startups of The Year 🚀 Let’s take a trip down memory lane, while also learning from how last year’s nominees flaunted the news of their nominations 🔎 FYI, with Startups of The Year 2024, we're introducing industry awards, categorizing startups by sector. You can find more info here. My Startups Got Nominated. What Should I Do? The FIRST thing that you’re going to do… well after you claim and verify your company, you PROMOTE the heck out of your Startup 💚 Here’s how 2023 Startups did it… PRO TIP: Content is your best friend! Utilize social media strengths to spread the word about your Startups of The Year nomination! Facebook, LinkedIn, X… the more the merrier. You have bragging rights, so post on EVERY social platform possible🔥
Don’t forget to tag HackerNoon, we’d love to support your company to the top 1️⃣ by featuring you on our testimonials site and social media! Here’s How 2023 Startups Did It, On LinkedIn Whether it is a simple call for voting with the Startups of The Year’s key visual or having the Founder/CEO post on their page for increased reach, let your creativity run wild: repost, run a campaign, write an article on HackerNoon, and blast it everywhere! Be vocal and be proud - your startup DESERVES all the recognition! Show the world why they should vote for you!
➡️ Write about your startup mission and vision using this interview template Remember to follow up! You know that one call for voting post isn’t enough - Divide to conquer! Remind your followers that you are still running for the title. Create a sense of urgency and competition like these startups did in 2023 ⬇️ See more on how nominated Startups called for voting in 2023 on LinkedIn here What About Facebook? You bet! Aside from LinkedIn, Facebook is also a good platform to announce your Startups of The Year nomination. See more on how nominated Startups called for voting in 2023 on Facebook here And Don’t Forget To Tweet About Your Nomination I know we all have *diverse* opinions on X (Twitter). Regardless, tweeting is still a good way to brag about your Startups of The Year nomination and call for voting. See more on how nominated Startups called for voting in 2023 on X here I’m sad…my Startup wasn’t nominated… 😔 You have two options: You can either nominate yourself… (it's completely legitimate - see the criteria here)


Or, let your community surprise you with a nomination and revel in the unexpected recognition!
Wojciech Sierocki, co-founder and CEO of Data Lake was taken by surprise too when their startup, Data Lake, got nominated for Startups of The Year 2023. Still have questions about nominations? Check out this guide! About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. Visit ourFAQ page to learn more. Download our design assets here. Check out the Startups of the Year Merch Shop here. HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. Meet our sponsors: Wellfound: At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. You heard it right, Startups of The Year is back for its 3rd season! Startups of The Year is a community-driven event created and powered by HackerNoon’s proprietary software, dedicated to recognizing and celebrating tech startups that are making a positive impact on technology and the world. Closing on Startups of The Year 2023 , we have achieved a total of 623K+ votes from the community (triple from the prior year) to 30,000+ startups across 4200+ cities ✨🙌 Startups of The Year is back Startups of The Year is back Startups of The Year is back Startups of The Year 2023 Startups of The Year 2023 Startups of The Year 2023 This year we set out to shine the Spotlight on Tech’s Shining Stars (yes, all 150,000 of them 🤭) Coming on to the podium, have you prepared a speech? If not, let this article be your guide to 2024’s Startups of The Year 🚀 Startups of The Year Let’s take a trip down memory lane, while also learning from how last year’s nominees flaunted the news of their nominations 🔎 FYI, with Startups of The Year 2024, we're introducing industry awards, categorizing startups by sector. You can find more info here. FYI, with Startups of The Year 2024 , we're introducing industry awards, categorizing startups by sector. You can find more info here. Startups of The Year 2024 here. here . here My Startups Got Nominated. What Should I Do? The FIRST thing that you’re going to do… well after you claim and verify your company, you PROMOTE the heck out of your Startup 💚 Here’s how 2023 Startups did it… claim claim claim verify verify PROMOTE the heck out of your Startup PROMOTE the heck out of your Startup PRO TIP: Content is your best friend! Utilize social media strengths to spread the word about your Startups of The Year nomination! Facebook, LinkedIn, X… the more the merrier. You have bragging rights, so post on EVERY social platform possible🔥 Don’t forget to tag HackerNoon, we’d love to support your company to the top 1️⃣ by featuring you on our testimonials site and social media! PRO TIP: Content is your best friend! Utilize social media strengths to spread the word about your Startups of The Year nomination ! Facebook, LinkedIn, X… the more the merrier. You have bragging rights , so post on EVERY social platform possible🔥 PRO TIP: Startups of The Year nomination You have bragging rights EVERY Don’t forget to tag HackerNoon, we’d love to support your company to the top 1️⃣ by featuring you on our testimonials site and social media! testimonials site testimonials site testimonials site social media! social media! Here’s How 2023 Startups Did It, On LinkedIn Whether it is a simple call for voting with the Startups of The Year’s key visual or having the Founder/CEO post on their page for increased reach, let your creativity run wild: repost, run a campaign, write an article on HackerNoon, and blast it everywhere ! Be vocal and be proud - your startup DESERVES all the recognition! write an article on HackerNoon, and blast it everywhere write an article on HackerNoon, and blast it everywhere DESERVES DESERVES Show the world why they should vote for you! ➡️ Write about your startup mission and vision using this interview template Show the world why they should vote for you! Show the world why they should vote for you! ➡️ Write about your startup mission and vision using this interview template interview template interview template Remember to follow up! You know that one call for voting post isn’t enough - Divide to conquer! Remind your followers that you are still running for the title. Create a sense of urgency and competition like these startups did in 2023 ⬇️ Remember to follow up ! You know that one call for voting post isn’t enough - Divide to conquer ! Remind your followers that you are still running for the title. Create a sense of urgency and competition like these startups did in 2023 ⬇️ Remember to follow up Remember to follow up one Divide to conquer Divide to conquer Create a sense of urgency and competition See more on how nominated Startups called for voting in 2023 on LinkedIn here See more on how nominated Startups called for voting in 2023 on LinkedIn here here here here What About Facebook? You bet! Aside from LinkedIn, Facebook is also a good platform to announce your Startups of The Year nomination. See more on how nominated Startups called for voting in 2023 on Facebook here See more on how nominated Startups called for voting in 2023 on Facebook here here here here And Don’t Forget To Tweet About Your Nomination I know we all have *diverse* opinions on X (Twitter). Regardless, tweeting is still a good way to brag about your Startups of The Year nomination and call for voting. *diverse* *diverse* See more on how nominated Startups called for voting in 2023 on X here See more on how nominated Startups called for voting in 2023 on X here here here here I’m sad…my Startup wasn’t nominated… 😔 You have two options: You can either nominate yourself… (it's completely legitimate - see the criteria here) Or, let your community surprise you with a nomination and revel in the unexpected recognition!
Wojciech Sierocki, co-founder and CEO of Data Lake was taken by surprise too when their startup, Data Lake, got nominated for Startups of The Year 2023. You can either nominate yourself… (it's completely legitimate - see the criteria here) You can either nominate yourself… (it's completely legitimate - see the criteria here ) here Or, let your community surprise you with a nomination and revel in the unexpected recognition! Wojciech Sierocki, co-founder and CEO of Data Lake was taken by surprise too when their startup, Data Lake, got nominated for Startups of The Year 2023. Or, let your community surprise you with a nomination and revel in the unexpected recognition! Wojciech Sierocki, co-founder and CEO of Data Lake was taken by surprise too when their startup, Data Lake, got nominated for Startups of The Year 2023. Data Lake Still have questions about nominations? Check out this guide! Still have questions about nominations? Check out this guide! Still have questions about nominations? Check out this guide ! this guide About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. Startups of The Year 2024 many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview Evergreen Tech Company News Visit our FAQ page to learn more. FAQ page Download our design assets here . here Check out the Startups of the Year Merch Shop here . here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. startup-friendly packages Meet our sponsors: Meet our sponsors: Wellfound: At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months , to build and scale your company with one powerful tool. Get your offer now ! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Hubspot: Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection , businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform

The Impact of HackerNoon's Startups of The Year: Reflections from Last Year’s Nominees

Die impak van HackerNoon se Startups of The Year: Refleksies van verlede jaar se genomineerdes

L'impacte de les startups de l'any de HackerNoon: reflexions dels nominats de l'any passat

El impacto de las startups del año de HackerNoon: reflexiones de los nominados del año pasado

O impacto das startups do ano de HackerNoon: reflexións dos nomeados do ano pasado

HackerNoon の「今年のスタートアップ」の影響: 昨年のノミネート企業からの考察

HackerNoon компаниясының жыл стартаптарының әсері: өткен жылғы үміткерлердің ойлары

ຜົນກະທົບຂອງການເລີ່ມຕົ້ນຂອງປີຂອງ HackerNoon: ການສະທ້ອນຈາກຜູ້ຖືກແຕ່ງຕັ້ງໃນປີກາຍນີ້

ह्याकरनूनको स्टार्टअप अफ द इयरको प्रभाव: गत वर्षका मनोनयनहरूबाट प्रतिबिम्ब

Kgahlamelo ya Dithomelo tša HackerNoon tša Ngwaga: Ditlhathollo go tšwa go Bakgethwa ba Ngwaga wo o fetilego

Athari za Mwanzo wa Mwaka wa HackerNoon: Tafakari kutoka kwa Walioteuliwa Mwaka Jana.

ผลกระทบของ Startups of The Year จาก HackerNoon: บทสะท้อนจากผู้เข้าชิงในปีที่แล้ว

“HackerNoon” -yň ýylyň başlangyçlarynyň täsiri: Geçen ýyl dalaşgärleriň pikirleri

To write in public or not... Note: This piece is intentionally raw and unpolished, reflecting a direct flow of thoughts—a mental dialogue. I like to write... words and code... both are close to my heart... one allows me to open up my thoughts, and the other allows me to play and find joy. But why write in public?... keep it private... write whatever... why draw attention here?... will you not be judged? Well... I have given it some thought... yes! Opinions can create distractions... I don't intend to seek attention... I have written a lot in private... but I aspire to connect with thinkers and creators of our time... a clan I believe I belong to. I aspire to have conversations with thinkers... and explore possibilities of human endeavors... The world has largely become transactional... society has created these factories of workers... called companies and corporations... where I see humans being treated as resources... and have processes to put them on some kind of efficiency machine to churn out all their energies for transactional needs... Very few, I find, are truly alive. Yes! These factories help us thrive in financial security, family, kids, friends, and travel... we seek happiness in these forms... but most end up spending more than 60% of their life doing things they don't enjoy. Add on top... instead of earning and acquiring, we shift to taking loans and acquiring... repaying in installments forever making life even heavier. I also see people who retire out of these factories with earned comforts and loved ones around... yet most find it difficult to restructure life to fathom boredom... spending time alone feels lonely and burdensome. It’s a tradeoff, and many die long before mortal death arrives... and one day we are erased... maybe remembered by the world for some time... but our identity fades into this vast cosmos. Is this all there is to life... a set pattern of to-dos? Our education system... seems like another kind of factory... they invite and lure us with promises of a great life ahead... conditioning us for 3-5 years to be part of these work factories. It seems like both factories are conspiring to make us believe that we are no more than human resources. I do find small startups... the small factories... small teams with no hierarchy... where we are not treated as resources. It looks like a great place to be if we are driven... if we are problem-solvers... deep divers... don’t always wait for orders to act... believe in collaboration. Here, we all take responsibility for our work... we feel valued... and many of us truly enjoy the process... trying to build something together... amidst a lot of uncertainty. I see many alive here. Now there is a new entrant—AI, which is evolving at a pace that has started shaking things apart for these old factories that train and treat humans as resources. I see it as a great enabler of discovery and exploration... capable of solving complex problems with human collaboration... but it will also reduce the current factories, and existing human resources will need to adapt quickly and explore a new set of possibilities. I now see micro-factories emerging... just 2-3 people building things with AI... this looks even better, giving rise to solo or micro-entrepreneurship... a small group of creators and innovators building and collaborating with AI agents, ushering in a new era of innovations and discoveries. As I explore life, I keep discovering many such factories (big and small) that society has created for personal and transactional needs... and I am cautious about where I choose to tune in. This is just the beginning of my exploration—I'd love to exchange ideas with others on this journey. To write in public or not... To write in public or not... Note: This piece is intentionally raw and unpolished, reflecting a direct flow of thoughts—a mental dialogue. Note: This piece is intentionally raw and unpolished, reflecting a direct flow of thoughts—a mental dialogue. Note: This piece is intentionally raw and unpolished, reflecting a direct flow of thoughts—a mental dialogue. I like to write... words and code... both are close to my heart... one allows me to open up my thoughts, and the other allows me to play and find joy. But why write in public?... keep it private... write whatever... why draw attention here?... will you not be judged? Well... I have given it some thought... yes! Opinions can create distractions... I don't intend to seek attention... I have written a lot in private... but I aspire to connect with thinkers and creators of our time... a clan I believe I belong to. I aspire to have conversations with thinkers... and explore possibilities of human endeavors... The world has largely become transactional... society has created these factories of workers... called companies and corporations... where I see humans being treated as resources... and have processes to put them on some kind of efficiency machine to churn out all their energies for transactional needs... Very few, I find, are truly alive. Yes! These factories help us thrive in financial security, family, kids, friends, and travel... we seek happiness in these forms... but most end up spending more than 60% of their life doing things they don't enjoy. Add on top... instead of earning and acquiring, we shift to taking loans and acquiring... repaying in installments forever making life even heavier. I also see people who retire out of these factories with earned comforts and loved ones around... yet most find it difficult to restructure life to fathom boredom... spending time alone feels lonely and burdensome. It’s a tradeoff, and many die long before mortal death arrives... and one day we are erased... maybe remembered by the world for some time... but our identity fades into this vast cosmos. Is this all there is to life... a set pattern of to-dos? Our education system... seems like another kind of factory... they invite and lure us with promises of a great life ahead... conditioning us for 3-5 years to be part of these work factories. It seems like both factories are conspiring to make us believe that we are no more than human resources. I do find small startups... the small factories... small teams with no hierarchy... where we are not treated as resources. It looks like a great place to be if we are driven... if we are problem-solvers... deep divers... don’t always wait for orders to act... believe in collaboration. Here, we all take responsibility for our work... we feel valued... and many of us truly enjoy the process... trying to build something together... amidst a lot of uncertainty. I see many alive here. Now there is a new entrant—AI, which is evolving at a pace that has started shaking things apart for these old factories that train and treat humans as resources. I see it as a great enabler of discovery and exploration... capable of solving complex problems with human collaboration... but it will also reduce the current factories, and existing human resources will need to adapt quickly and explore a new set of possibilities. I now see micro-factories emerging... just 2-3 people building things with AI... this looks even better, giving rise to solo or micro-entrepreneurship... a small group of creators and innovators building and collaborating with AI agents, ushering in a new era of innovations and discoveries. As I explore life, I keep discovering many such factories (big and small) that society has created for personal and transactional needs... and I am cautious about where I choose to tune in. This is just the beginning of my exploration—I'd love to exchange ideas with others on this journey.

Discovering Human Factories: A Personal Reflection on Modern Work, AI, and Creativity

Authors:
(1) Aviad Rom, The Data Science Institute, Reichman University, Herzliya, Israel;
(2) Kfir Bar, The Data Science Institute, Reichman University, Herzliya, Israel. Table of Links Abstract and Introduction Related Work Methodology Experimental Settings Results Conclusion and Limitations Bibliographical References 6. Conclusion Arabic and Hebrew, both Semitic languages, display inherent structural resemblances and possess shared cognates. In an endeavor to allow a bilingual language model to recognize these cognates, we introduced a novel language model tailored for Arabic and Hebrew, wherein the Arabic text is transliterated into the Hebrew script prior to both pre-training and fine-tuning. We contrast our model by training another language model on the identical dataset but without the transliteration preprocessing step, in order to assess the impact of transliteration. We fine-tuned our model for the machine translation task, yielding promising outcomes. These results suggest that the transliteration step offers tangible benefits to the translation process. Comparing to the translation combination involving other language models, we see comparable results; this is encouraging given that the training data we utilized for pre-training the model is approximately 60% smaller than theirs. As a future avenue of research, we intend to train the model on an expanded dataset and explore scaling its architecture. In this study, our emphasis was on a transformer encoder. We are keen to investigate the effects of implementing transliteration within a decoder architecture, once such a model becomes available for Hebrew. Limitations The transliteration algorithm from Arabic to Hebrew is based a simple deterministic lookup table. However, sometimes the transliteration is not that straight forward, and this simple algorithm generates some odd rendering, which we would like to fix. For example, our algorithm does not place a final-form letter at the end of the Arabic word in Hebrew. Another challenge with transliteration into Hebrew is that for some words a Hebrew writer may choose to omit long vowel characters and the readers will still be able to understand the word. This phenomenon is referred to as “Ktiv Hasser” in Hebrew. Yet, there exists a preference for certain word representations over others. This inconsistency makes it more challenging for aligning the transliterated Arabic words to their cognates in the way they are written. Our transliteration algorithm always renders the Arabic word following the Arabic letters, which may be different than how this word is typically written in Hebrew. Another limitation is the relatively small size of the dataset which we used for pre-training the language model, comparing to other existing language models of the same architecture size. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Aviad Rom, The Data Science Institute, Reichman University, Herzliya, Israel; (2) Kfir Bar, The Data Science Institute, Reichman University, Herzliya, Israel. Authors: Authors: (1) Aviad Rom, The Data Science Institute, Reichman University, Herzliya, Israel; (2) Kfir Bar, The Data Science Institute, Reichman University, Herzliya, Israel. Table of Links Abstract and Introduction Abstract and Introduction Related Work Related Work Methodology Methodology Experimental Settings Experimental Settings Results Results Conclusion and Limitations Conclusion and Limitations Bibliographical References Bibliographical References 6. Conclusion Arabic and Hebrew, both Semitic languages, display inherent structural resemblances and possess shared cognates. In an endeavor to allow a bilingual language model to recognize these cognates, we introduced a novel language model tailored for Arabic and Hebrew, wherein the Arabic text is transliterated into the Hebrew script prior to both pre-training and fine-tuning. We contrast our model by training another language model on the identical dataset but without the transliteration preprocessing step, in order to assess the impact of transliteration. We fine-tuned our model for the machine translation task, yielding promising outcomes. These results suggest that the transliteration step offers tangible benefits to the translation process. Comparing to the translation combination involving other language models, we see comparable results; this is encouraging given that the training data we utilized for pre-training the model is approximately 60% smaller than theirs. As a future avenue of research, we intend to train the model on an expanded dataset and explore scaling its architecture. In this study, our emphasis was on a transformer encoder. We are keen to investigate the effects of implementing transliteration within a decoder architecture, once such a model becomes available for Hebrew. Limitations The transliteration algorithm from Arabic to Hebrew is based a simple deterministic lookup table. However, sometimes the transliteration is not that straight forward, and this simple algorithm generates some odd rendering, which we would like to fix. For example, our algorithm does not place a final-form letter at the end of the Arabic word in Hebrew. Another challenge with transliteration into Hebrew is that for some words a Hebrew writer may choose to omit long vowel characters and the readers will still be able to understand the word. This phenomenon is referred to as “Ktiv Hasser” in Hebrew. Yet, there exists a preference for certain word representations over others. This inconsistency makes it more challenging for aligning the transliterated Arabic words to their cognates in the way they are written. Our transliteration algorithm always renders the Arabic word following the Arabic letters, which may be different than how this word is typically written in Hebrew. Another limitation is the relatively small size of the dataset which we used for pre-training the language model, comparing to other existing language models of the same architecture size. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

Reflections on HeArBERT: Transliteration Benefits, Research Horizons, and Limitations

Ethereum's Slump Reflects the Web3 Development Dilemma

Building a two-sided managed pet care platform as first-time founders is not an easy task. Looking back, it's clear that some intuitive decisions brought us to where we are today. After 1.5 years of bootstrapping, we raised $400,000 from a VC fund and an angel syndicate, with follow-on investments totaling $1 million. We now have 30,000 paying customers, 3,000 pet caregivers connected to our platform, and over $5 million in gross revenue since launch. Here's my reflection on the key decisions that brought us to this point. Tip 1: Don't Chase Investors Too Early; Focus on Traction First. A couple of months after our launch, with our first customers on board, we thought raising funds would be a breeze. We prepared a conventional pitch deck and business model and started meeting with angel investors and early-stage VCs. However, we quickly realized it was challenging to convince investors to back two first-time founders with a business earning only $1,500 monthly. With our personal runway nearly exhausted, we had an honest discussion and asked ourselves: Do we want to continue without securing a seed round? The answer was yes. We then asked ourselves how we could survive and improve our chances of fundraising later. We decided to stop wasting time chasing investors and focus on gaining traction. This decision boosted our team's morale. Our success was now in our hands, not dependent on funding. By focusing on traction, we implemented key changes that helped us grow tenfold in one year. I'll discuss these changes in the following tips. Tip 2: Improve Your Unit Economics – Be as Effective as You Can to Survive. One of the challenges we faced in becoming profitable was our low take rate. We launched with favorable terms for pet caregivers: after subsidizing transport expenses, our take rate was 18%. This motivated pet caregivers to serve our first customers, but it wasn't enough to achieve profitability quickly with a bootstrapped approach. I wondered: What if we could earn more from every order? What if we could acquire new pet caregivers on more favorable terms for the company? What if existing pet caregivers accepted changes in the transport subsidy? Changing the amount our service providers earned was daunting, but two adjustments helped us double our take rate to 35%: Introduce a cap on transportation coverage.
Increase our take rate for new pet caregivers joining the platform. Sometimes, we underestimate the value our business provides to users. It's crucial to constantly ask: What if we could earn more on each unit? Tip 3: Try Bootstrap Marketing Instead of Paid Ads. As a startup with a novel concept, you'll likely struggle to win user trust initially. Limited funds for ad testing and the need for quick results often lead to lower conversion rates compared to established competitors. This makes it challenging to achieve positive unit economics from paid channels early on. Our first attempt at SEM didn't yield results, so we explored alternative channels due to budget constraints. Here's what worked for us: 📣 Send Press Releases to the Media Outlets First, we sent press releases to major lifestyle media in our region. Some picked up the story and announced our product launch. Consider researching media outlets relevant to your field and reach out to them. Establishing a public presence for your brand is crucial in the early stages. 🤴 Partner with Industry Experts Next, we partnered with respected influencers in our field. When they mentioned our business to their audience, we gained both warm leads and valuable social proof. These leads were already confident in our product due to the influencers' endorsement. Who are the key voices in your industry? Is there potential to build connections with them? 👩‍💼 Tap into Corporate Networks Our third effective channel was partnerships with enterprises. They promoted our exclusive offers to their employees through internal communications, helping us secure early adopters from their workforce. If your product or service has broad appeal, consider exploring ways to include it in corporate benefits programs. Tip 4: Consider Additional Revenue Streams, Even if They Seem to Diverge From Your Initial Focus. When we launched our pet care platform, we initially only connected pet parents with dog walkers. However, we soon realized that adding dog boarding could provide an additional revenue stream because: Our existing customers were requesting boarding/sitting services.
International competitors already offered this product vertical. While launching a new product might seem risky or unfocused, it's crucial to differentiate between introducing a completely new offering to a new audience versus a complementary product for your existing customer base. In our case, we were fortunate to launch the dog boarding vertical just before the vacation season when people frequently cancel walking services and search for dog sitters. This decision significantly influenced our successful investment round closure. The boarding vertical generated an additional $24,400 in revenue, which, when annualized, added approximately $280,000 to our pre-money valuation during deal discussions in October (having multiple ~9X to yearly gross revenue). Tip 5: Find an Advisor From a Similar Company That's a Few Steps ahead of Yours. After our launch, we were fortunate to bring on board a mentor/advisor who was a co-founder and CEO of a Round A stage company with a similar on-demand business model - a medical tech company providing house call doctor services. Orders are placed via mobile app and chatbot as we do. His guidance was crucial in several key areas: 💰 Fundraising Our advisor tipped us off about a startup competition organized by McKinsey & Company. Among the organizers and jury members were angel investors who had backed his medical company. I believe having him as an advisor significantly boosted our chances during the initial selection stage, where only 12 companies were chosen out of 600+ applicants. The organizers were already familiar with him and understood the on-demand business model, putting us in the right place at the right time. We made it to the finals and, although we didn't clinch the win, we still managed to secure a seed round from an angel syndicate that included jury members from the competition. Consider bringing on board someone with hands-on entrepreneurship experience in a similar market or with a comparable business model. They can provide warm introductions to investors, which can be invaluable. 🎓 Re-use best practices As a first-time founder, especially a young one like myself, you often lack experience in areas like people management, stakeholder relations, and hiring. Sometimes, you might need specific advice on topics like launching paid ads without failing. Having someone who's already gained this experience can significantly reduce mistakes, saving company funds and ultimately increasing your chances of success. The key is to listen and learn. 🆘 Moral Support and Constant Challenging Being an early-stage venture founder means constantly managing your emotions. You might swing from "we're the worst company ever, customers will stop using our app" when you receive a negative Trustpilot rating in the morning, to "we're doing quite well" when you deploy a new feature later that day. Things become even more intense when you attract funds, bring investors on board, start hiring employees, and sometimes need to let go of underperformers - it's quite stressful. Moreover, without a boss, it can be hard to adequately assess your own performance - is it poor or good? Having an advisor can help you handle stress as you can transparently discuss all ups and downs. But they can also provide the feedback you need to improve, which is harder to receive when you're working on your own project without someone senior above you. Conclusion I believe these five strategies were crucial to bootstrapping our growth and securing seed funding. Every startup's journey is unique, but focusing on traction, optimizing operational efficiency, and leveraging experienced mentors can significantly increase your chances of success. I hope my insights prove helpful to entrepreneurs building early-stage products. Building a two-sided managed pet care platform as first-time founders is not an easy task. Looking back, it's clear that some intuitive decisions brought us to where we are today. After 1.5 years of bootstrapping, we raised $400,000 from a VC fund and an angel syndicate, with follow-on investments totaling $1 million. We now have 30,000 paying customers, 3,000 pet caregivers connected to our platform, and over $5 million in gross revenue since launch. Here's my reflection on the key decisions that brought us to this point. Tip 1: Don't Chase Investors Too Early; Focus on Traction First. Tip 1: Don't Chase Investors Too Early; Focus on Traction First. A couple of months after our launch, with our first customers on board, we thought raising funds would be a breeze. We prepared a conventional pitch deck and business model and started meeting with angel investors and early-stage VCs. However, we quickly realized it was challenging to convince investors to back two first-time founders with a business earning only $1,500 monthly. With our personal runway nearly exhausted, we had an honest discussion and asked ourselves: Do we want to continue without securing a seed round? The answer was yes. We then asked ourselves how we could survive and improve our chances of fundraising later. We decided to stop wasting time chasing investors and focus on gaining traction. This decision boosted our team's morale. Our success was now in our hands, not dependent on funding. By focusing on traction, we implemented key changes that helped us grow tenfold in one year. I'll discuss these changes in the following tips. Tip 2: Improve Your Unit Economics – Be as Effective as You Can to Survive. Tip 2: Improve Your Unit Economics – Be as Effective as You Can to Survive. One of the challenges we faced in becoming profitable was our low take rate. We launched with favorable terms for pet caregivers: after subsidizing transport expenses, our take rate was 18%. This motivated pet caregivers to serve our first customers, but it wasn't enough to achieve profitability quickly with a bootstrapped approach. I wondered: What if we could earn more from every order? What if we could acquire new pet caregivers on more favorable terms for the company? What if existing pet caregivers accepted changes in the transport subsidy? Changing the amount our service providers earned was daunting, but two adjustments helped us double our take rate to 35%: Introduce a cap on transportation coverage. Increase our take rate for new pet caregivers joining the platform. Introduce a cap on transportation coverage. Increase our take rate for new pet caregivers joining the platform. Sometimes, we underestimate the value our business provides to users. It's crucial to constantly ask: What if we could earn more on each unit? Tip 3: Try Bootstrap Marketing Instead of Paid Ads. Tip 3: Try Bootstrap Marketing Instead of Paid Ads. As a startup with a novel concept, you'll likely struggle to win user trust initially. Limited funds for ad testing and the need for quick results often lead to lower conversion rates compared to established competitors. This makes it challenging to achieve positive unit economics from paid channels early on. Our first attempt at SEM didn't yield results, so we explored alternative channels due to budget constraints. Here's what worked for us: 📣 Send Press Releases to the Media Outlets Send Press Releases to the Media Outlets First, we sent press releases to major lifestyle media in our region. Some picked up the story and announced our product launch. Consider researching media outlets relevant to your field and reach out to them. Establishing a public presence for your brand is crucial in the early stages. 🤴 Partner with Industry Experts Partner with Industry Experts Next, we partnered with respected influencers in our field. When they mentioned our business to their audience, we gained both warm leads and valuable social proof. These leads were already confident in our product due to the influencers' endorsement. Who are the key voices in your industry? Is there potential to build connections with them? 👩‍💼 Tap into Corporate Networks Tap into Corporate Networks Our third effective channel was partnerships with enterprises. They promoted our exclusive offers to their employees through internal communications, helping us secure early adopters from their workforce. If your product or service has broad appeal, consider exploring ways to include it in corporate benefits programs. Tip 4: Consider Additional Revenue Streams, Even if They Seem to Diverge From Your Initial Focus. Tip 4: Consider Additional Revenue Streams, Even if They Seem to Diverge From Your Initial Focus. When we launched our pet care platform, we initially only connected pet parents with dog walkers. However, we soon realized that adding dog boarding could provide an additional revenue stream because: Our existing customers were requesting boarding/sitting services. International competitors already offered this product vertical. Our existing customers were requesting boarding/sitting services. International competitors already offered this product vertical. While launching a new product might seem risky or unfocused, it's crucial to differentiate between introducing a completely new offering to a new audience versus a complementary product for your existing customer base. In our case, we were fortunate to launch the dog boarding vertical just before the vacation season when people frequently cancel walking services and search for dog sitters. This decision significantly influenced our successful investment round closure. The boarding vertical generated an additional $24,400 in revenue, which, when annualized, added approximately $280,000 to our pre-money valuation during deal discussions in October (having multiple ~9X to yearly gross revenue). Tip 5: Find an Advisor From a Similar Company That's a Few Steps ahead of Yours. Tip 5: Find an Advisor From a Similar Company That's a Few Steps ahead of Yours. After our launch, we were fortunate to bring on board a mentor/advisor who was a co-founder and CEO of a Round A stage company with a similar on-demand business model - a medical tech company providing house call doctor services. Orders are placed via mobile app and chatbot as we do. His guidance was crucial in several key areas: 💰 Fundraising Fundraising Our advisor tipped us off about a startup competition organized by McKinsey & Company. Among the organizers and jury members were angel investors who had backed his medical company. I believe having him as an advisor significantly boosted our chances during the initial selection stage, where only 12 companies were chosen out of 600+ applicants. The organizers were already familiar with him and understood the on-demand business model, putting us in the right place at the right time. We made it to the finals and, although we didn't clinch the win, we still managed to secure a seed round from an angel syndicate that included jury members from the competition. Consider bringing on board someone with hands-on entrepreneurship experience in a similar market or with a comparable business model. They can provide warm introductions to investors, which can be invaluable. 🎓 Re-use best practices Re-use best practices As a first-time founder, especially a young one like myself, you often lack experience in areas like people management, stakeholder relations, and hiring. Sometimes, you might need specific advice on topics like launching paid ads without failing. Having someone who's already gained this experience can significantly reduce mistakes, saving company funds and ultimately increasing your chances of success. The key is to listen and learn. 🆘 Moral Support and Constant Challenging Moral Support and Constant Challenging Being an early-stage venture founder means constantly managing your emotions. You might swing from "we're the worst company ever, customers will stop using our app" when you receive a negative Trustpilot rating in the morning, to "we're doing quite well" when you deploy a new feature later that day. Things become even more intense when you attract funds, bring investors on board, start hiring employees, and sometimes need to let go of underperformers - it's quite stressful. Moreover, without a boss, it can be hard to adequately assess your own performance - is it poor or good? Having an advisor can help you handle stress as you can transparently discuss all ups and downs. But they can also provide the feedback you need to improve, which is harder to receive when you're working on your own project without someone senior above you. Conclusion Conclusion I believe these five strategies were crucial to bootstrapping our growth and securing seed funding. Every startup's journey is unique, but focusing on traction, optimizing operational efficiency, and leveraging experienced mentors can significantly increase your chances of success. I hope my insights prove helpful to entrepreneurs building early-stage products.

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