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We demonstrated our AI-agent framework for massively collaborative algorithm discovery for the first time yesterday Using the TIG Vehicle Routing Challenge (collaboration with Steven Diamond) The TIG team had the pleasure of presenting to some of the biggest players in the AI-algorithm discovery space They learned they can mine... show more

John Fletcher (𝔦, 𝔦)

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86,911 views • 3 months ago •via X (Twitter)

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This is why $TIG is so important 🔵 "We have got to acknowledge that most of the advances in AI came out of algorithm advances, not just the raw hardware" ⚫️ "The only way to really get 10x or 100x leaps is to fundamentally change the algorithm" Not just anyone's opinion.. thats from CEO of NVIDIA Jensen Huang Algorithms are where the real breakthroughs come from.. The Innovation Game (𝔦, 𝔦) is building the incentive layer to discover them.. at scale, in the open, with the best minds competing to push the frontier forward $TIG

This is why $TIG is so important 🔵 "We have got to acknowledge that most of the advances in AI came out of algorithm advances, not just the raw hardware" ⚫️ "The only way to really get 10x or 100x leaps is to fundamentally change the algorithm" Not just anyone's opinion.. thats from CEO of NVIDIA Jensen Huang Algorithms are where the real breakthroughs come from.. The Innovation Game (𝔦, 𝔦) is building the incentive layer to discover them.. at scale, in the open, with the best minds competing to push the frontier forward $TIG

𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢

20,886 views • 3 months ago

Yeah $TIG is flying under the radar An open protocol for algorithm development listening to John explain how algorithms can optimise & help you extract maximum utility from any given chip DeepMind, OpenAI, Anthropic, they're all racing to own the algorithmic layer if they win, you pay a tax on every optimized query, every solved route, every compressed model Over the last 50 years, we focused on hardware The fight was between Intel, ASML, TSMC: who could etch circuits smallest and cheapest at scale? many years ago we realised Moore's law seemed to be hitting a ceiling, that there may be fundamental limitations of physics as such, the focus changed to how we could extract maximum utility from the hardware the fight will be for the most optimised software I spoke with John Fletcher (𝔦, 𝔦) to discuss the TIG mission Full ep on our youtube 00:00 Intro 00:26 Primer on $TIG 02:18 Cambridge, ARM and the TIG Team 06:33 Why open source? 15:21 Why challenges for algorithms 20:00 Role of IP licensing 23:29 Defending Against Algorithmic Monopolies 27:40 Monetisation 28:40 Use Cases 36:23 Power Struggle vs AI Labs 39:12 Freedom Ideology

Yeah $TIG is flying under the radar An open protocol for algorithm development listening to John explain how algorithms can optimise & help you extract maximum utility from any given chip DeepMind, OpenAI, Anthropic, they're all racing to own the algorithmic layer if they win, you pay a tax on every optimized query, every solved route, every compressed model Over the last 50 years, we focused on hardware The fight was between Intel, ASML, TSMC: who could etch circuits smallest and cheapest at scale? many years ago we realised Moore's law seemed to be hitting a ceiling, that there may be fundamental limitations of physics as such, the focus changed to how we could extract maximum utility from the hardware the fight will be for the most optimised software I spoke with John Fletcher (𝔦, 𝔦) to discuss the TIG mission Full ep on our youtube 00:00 Intro 00:26 Primer on $TIG 02:18 Cambridge, ARM and the TIG Team 06:33 Why open source? 15:21 Why challenges for algorithms 20:00 Role of IP licensing 23:29 Defending Against Algorithmic Monopolies 27:40 Monetisation 28:40 Use Cases 36:23 Power Struggle vs AI Labs 39:12 Freedom Ideology

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Introducing Axiom's discovery team: Alberto Alfarano Alberto's path runs from the IMO → trading → training AI to crack a 130-year-old conjecture. He found new Lyapunov functions while no general algorithm existed before. AI for math discovery redefines the boundary of human minds.

Introducing Axiom's discovery team: Alberto Alfarano Alberto's path runs from the IMO → trading → training AI to crack a 130-year-old conjecture. He found new Lyapunov functions while no general algorithm existed before. AI for math discovery redefines the boundary of human minds.

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Our work in discovery is never done. Here’s the scoop on three key changes we made to our Recommended For You algorithm to connect more players with the games they’ll love.

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One of the most asked questions in TIG: how does the licensing work? Last week's community call answered it in detail. Arm Holdings put its chip designs in every phone on earth without manufacturing a single one. Licensing did that. The man who ran Arm's legal side is a TIG cofounder, and last week he explained how algorithms get sold for the first time in history.

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Today Google DeepMind released AlphaEvolve: a Gemini coding agent for algorithm discovery. It beat the famous Strassen algorithm for matrix multiplication set 56 years ago. Google has been killing it recently. We had early access to the paper and interviewed the researchers.

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Introducing ALE-Bench, ALE-Agent! Towards Automating Long-Horizon Algorithm Engineering for Hard Optimization Problems Blog: Paper: ALE-Bench is a coding benchmark primarily focused on hard optimization (NP-hard) problems. We developed this benchmark with AtCoder Inc., a leading coding contest platform company. What makes ALE-Bench unique is its focus on hard optimization problems that demand long-horizon and creative reasoning. It’s open-ended, in the sense that true optima are out of reach (NP-hard) and scores can continuously improve. We believe this benchmark has the potential to become one of the key benchmarks for reasoning and coding in the next generation. ALE-Agent is our end-to-end agent that we specifically designed for this challenging domain. In fact, our ALE-Agent has already built an impressive track record in the wild! In May 2025, our agent participated in a live AtCoder Heuristic Competition (AHC), alongside 1,000 other participants in real-time. AHC is considered to be one of the most challenging coding competitions in this domain. Our ALE-Agent achieved an impressive ranking of 21st out of 1,000 human participants in the competition (top 2%), marking a turning point for AI discovery of solutions to hard optimization problems with a wide spectrum of important real world applications such as logistics, routing, packing, factory production planning, power-grid balancing. We look forward to applying this technology to real industrial optimization opportunities. Building on the insights from this study, Sakana AI will continue to tackle the challenge of developing AI with even greater algorithm engineering capabilities. ALE-Bench Dataset: ALE-Bench Code: This research was conducted in collaboration with AtCoder Inc. (AtCoder). We are deeply grateful for their outstanding expertise and contributions in optimization and algorithms, which were invaluable in providing data, analyzing results, and enabling our AI agent’s participation in their contests.

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Leverage the power of AI to create your own algorithm. Visit to try our new AI Agent and level up your trading game. Free to use for a limited time. #HedgeFi $Hedge #AI

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BSCN

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(1/3) insitro is excited to share our paper “EmbedGEM: A Framework to Evaluate the Utility of Embeddings for Genetic Discovery,” focusing on assessing the use of ML-derived embeddings for genetic discovery using heritability & relevance to specific diseases.

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Block 🧱

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The people who are making millions of dollars with A.I. aren’t smarter than you. They didn’t build the tools they’re using, they aren’t writing algorithms. They just saw all the new A.I. tools available and looked for ways to use them. They just tried while you did nothing.

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TheMamaSchwabParody

29,573 views • 10 months ago

The AI companies want to gobble up all the electricity in America and make you pay for it while they replace every worker they can with an algorithm. These people have lost their moral compass. It’s time to remind them what’s right and what’s wrong Teamsters

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Josh Hawley

17,637 views • 1 month ago

Yesterday, I was invited to speak at the 17th edition of the 60 Million Congress in Miami. Together with other experts in the space, we talked about AI and its effects on human psychology and society. A couple of takeaways: ▫️ Using AI can remove the need for critical thinking, just like GPS removed the need for spatial recognition. ▫️ Soon, AI chatbots will become our friends and partners and could potentially gain equal rights as humans. ▫️ AI is the most disruptive technology ever, and it will influence society more than anything we ever introduced. Had some interesting conversations afterward with companies interested in working with Vertical AI to fine-tune their own domain specific model 🤝 Shout-out to THE ₿IRB NEST for getting us on the panel. On to the next stage to spread the word of Vertical AI.

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Mark T.

18,653 views • 1 year ago

"In 90 days... we've had 1.2 million of the 3 million people at the department use some form of AI. That number was 80,000 before I started." Emil Michael on reshaping the Department of War's priorities and going all in on AI: "When I took the role in May... we had 14 critical priority areas in this role... they hadn't changed in nearly a decade." "Who can remember 14 things when you're trying to motivate a workforce?" "We got them down to six... they were places where I thought we had the greatest opportunity for change and for growth and impact on our combat power and for our industrial base." "Applied AI was number one. So then we moved the chief digital and AI office into my group, and we were able to run extremely fast with that... we're way behind in AI at the department, and we know it's penetrating the rest of the world so dramatically, so quickly." "Our adversaries were also using it... they want to use computers to eliminate human decision making. We want to enhance human decision making." Under Secretary of War Emil Michael Department of War CTO David Ulevitch 🇺🇸

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a16z

36,133 views • 4 months ago

🚩 Ready for AI algorithms at the gas pump? Kalibrate isn’t “optimizing fuel prices,” it's yet another AI middleman quietly logging your behavior and dictating your price of gas based on who’s standing at the pump. Freedom is dying one algorithm at a time.

🚩 Ready for AI algorithms at the gas pump? Kalibrate isn’t “optimizing fuel prices,” it's yet another AI middleman quietly logging your behavior and dictating your price of gas based on who’s standing at the pump. Freedom is dying one algorithm at a time.

Jason Bassler

26,012 views • 14 days ago