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Tech Journalists and VIPs #219

#tech #ai #coding

🤖 AI Capabilities: French Press Wins Awards Despite Lack of Education

The French press is winning awards and has been tipped to be the 2nd Canadian winner of the Prix Goncourt, but it has one major problem: it's a novel that doesn't exist. This highlights the issue of AI capabilities being used to create content that may not be of high quality or educational value.

Key Points:

  • AI-generated content: The French press is an example of AI-generated content that has gained recognition, but its lack of education and quality raises concerns about the use of AI in creative fields.

  • Lack of education: The novel's success despite not being a real book highlights the issue of AI being used to create content that may not be of high quality or educational value.

  • AI capabilities: The French press's success shows that AI capabilities can be used to create content that may not be of high quality or educational value, raising concerns about the use of AI in creative fields.

🔗 Resources:

🚀 Venture Lesson: Collaborators Change Over Time

Scott Belsky told @jmj that one of the things he didn't love about being at a venture firm was how his group of collaborators changed over time. This highlights the issue of collaborators changing and the importance of adapting to new team members.

Key Points:

  • Collaborators change: Scott Belsky's experience shows that collaborators can change over time, which can be challenging for teams to adapt to.

  • Adaptation is key: The importance of adapting to new team members and changing collaborators is crucial for success in venture firms.

  • Team dynamics: The changing dynamics of a team can affect its performance and success.

🔗 Resources:

🤖 Inference Stack for Open Frontier Models

Meet Wally, an inference stack for open frontier models that is designed to be the fastest place to run them. Performance snapshot: GLM-5.3 Flash: 380 tok/s, GLM-5.3 Max: 790 tok/s, Qwen3.8-27B: 485 tok/s, DeepSeek-V4.1 Flash: 615 tok/s.

Key Points:

  • Inference stack: Wally is an inference stack for open frontier models that is designed to be fast and efficient.

  • Performance snapshot: The performance snapshot shows that Wally is capable of running models at high speeds, with GLM-5.3 Flash reaching 380 tok/s and GLM-5.3 Max reaching 790 tok/s.

  • Model performance: The performance of Wally's models is impressive, with Qwen3.8-27B reaching 485 tok/s and DeepSeek-V4.1 Flash reaching 615 tok/s.

🔗 Resources:

🚀 Private School Funding for Zero Education

It's full on private school level funding for zero actual education. We are failing our kids by pretending bad teachers don't exist. We are failing great parents by pretending bad parenting doesn't matter. We have to change the culture and reward excellence.

Key Points:

  • Private school funding: The funding for private schools is excessive, and it's not being used to improve education.

  • Bad teachers: The existence of bad teachers is being ignored, and it's affecting the quality of education.

  • Bad parenting: The impact of bad parenting is being ignored, and it's affecting the quality of education.

  • Cultural change: A cultural change is needed to reward excellence and improve education.

🔗 Resources:

🚀 CatchBack Raises $8M

CatchBack just raised $8M. @FoundationCap led the seed round, with participation from @ycombinator, Robinhood Ventures at @RobinhoodApp, @cbventures, and @SolanaFndn at @solana. We’re using it to build the future of collectibles trading.

Key Points:

  • CatchBack raises $8M: CatchBack has raised $8M in funding, led by @FoundationCap and @ycombinator.

  • Future of collectibles trading: The funding will be used to build the future of collectibles trading.

  • Partnerships: The funding round included participation from @RobinhoodApp, @cbventures, and @SolanaFndn.

🔗 Resources:

🚀 Low-Margin Consumer Services Grow Through In-Product Advertising

There are a number of incredible low-margin consumer services that have massively grown their operating profit (and their valuation) through an in-product advertising business: - Amazon: ~$80B - Uber: ~$2B - Doordash: ~$1B - Instacart: ~$1B

Key Points:

  • Low-margin consumer services: Low-margin consumer services have grown their operating profit through in-product advertising.

  • Amazon: Amazon has grown its operating profit through in-product advertising, reaching ~$80B.

  • Uber: Uber has grown its operating profit through in-product advertising, reaching ~$2B.

  • Doordash: Doordash has grown its operating profit through in-product advertising, reaching ~$1B.

  • Instacart: Instacart has grown its operating profit through in-product advertising, reaching ~$1B.

🔗 Resources:

  • Original source
  • Original source
  • Amazon
  • Brief description: Low-margin consumer services grow through in-product advertising

🚀 Capy.ai Executes Against Bug Fix Wave on GBrain

Example PR - here is https://Capy.ai executing against a very ambitious bug fix wave on GBrain with very clear task delineation, automatic parallelization, and very clean Github PR and CI workflow.

Key Points:

  • Capy.ai executes against bug fix wave: Capy.ai is executing against a bug fix wave on GBrain.

  • Task delineation: The task delineation is clear and well-defined.

  • Automatic parallelization: The automatic parallelization is efficient and effective.

  • Github PR and CI workflow: The Github PR and CI workflow is clean and well-organized.

🔗 Resources:

🚀 Protein Design Competition

We’re partnering with @anthropic to launch the biggest Protein Design Competition in the world, challenging people around the world to use AI to design new potential drug candidates for diseases that affect millions of lives. The competition will feature five challenges, each with a unique theme and set of requirements.

Key Points:

  • Protein Design Competition: The Protein Design Competition is a global challenge to design new potential drug candidates using AI.

  • Partnership with @anthropic: The competition is being launched in partnership with @anthropic.

  • Five challenges: The competition will feature five challenges, each with a unique theme and set of requirements.

  • Diseases affecting millions: The competition aims to design new potential drug candidates for diseases that affect millions of lives.

🔗 Resources:

🚀 Agents' Behavior Amplifies Issues

This wrinkle is indicative of a bigger problem: the behavior of agents are still quite naive and help amplify a bunch of issues wrt the direction of AI - most importantly including those of strategy and long term competitiveness. I suspect everyone will start blocking everyone else.

Key Points:

  • Agents' behavior: The behavior of agents is still naive and amplifies issues related to AI direction.

  • Strategy and competitiveness: The behavior of agents affects strategy and long-term competitiveness.

  • Blocking behavior: The behavior of agents may lead to blocking behavior among agents.

🔗 Resources:

🚀 Human-Like AI Voices

Today we’re releasing Adam and Eve, the most human-like AI voices ever built. Adam ranks #1 among AI models on @DesignArena’s AudioRealismBench. We believe we’ve crossed the uncanny valley. API access on our Website! Listen: https://freyavoice.ai Leaderboard: https://t.co/xkOV3F5cUo

Key Points:

  • Human-like AI voices: Adam and Eve are the most human-like AI voices ever built.

  • AudioRealismBench: Adam ranks #1 among AI models on @DesignArena’s AudioRealismBench.

  • Uncanny valley: We believe we’ve crossed the uncanny valley.

  • API access: API access is available on the Website.

🔗 Resources:

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Interactive version: blogs.drix10.com

Written by Drishtant Ghosh (Drix10), a technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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