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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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77,692 次观看 • 1 个月前 •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

19,511 次观看 • 1 个月前

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.

Carina Hong

373,882 次观看 • 6 个月前

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

Jack Ai-Leung

37,469 次观看 • 21 天前

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.

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.

Machine Learning Street Talk

58,495 次观看 • 1 年前

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.

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.

Sakana AI

237,195 次观看 • 11 个月前

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

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

HedgeFi

15,043 次观看 • 1 年前

THE INNOVATION GAME ($TIG) SURGES 100% IN 7 DAYS The Innovation Game (𝔦, 𝔦) ($TIG), a Base ecosystem token built around decentralized algorithmic research, is up roughly 101% over the past 7 days, making it one of the top performers in the Base Ecosystem and Proof of Work categories. TIG runs as a network for "algorithmic breakthroughs," using proof-of-work to incentivize open contributions across AI, cryptography, biomedical research, and climate science. The project formed a Swiss Association in Zug last year to safeguard high-value IP from global researchers and now sits at roughly $39M market cap with over 20,000 holders.

THE INNOVATION GAME ($TIG) SURGES 100% IN 7 DAYS The Innovation Game (𝔦, 𝔦) ($TIG), a Base ecosystem token built around decentralized algorithmic research, is up roughly 101% over the past 7 days, making it one of the top performers in the Base Ecosystem and Proof of Work categories. TIG runs as a network for "algorithmic breakthroughs," using proof-of-work to incentivize open contributions across AI, cryptography, biomedical research, and climate science. The project formed a Swiss Association in Zug last year to safeguard high-value IP from global researchers and now sits at roughly $39M market cap with over 20,000 holders.

BSCN

10,399 次观看 • 1 个月前

We’re launching Mundi, the first open-source web GIS built for AI. After years of training geospatial AI models, we decided now is the moment to build the GIS software of the next decade. After the AI Vectorizer, Georeferencer, and Kue (our LLM agent inside QGIS), we realized that GIS is at an inflection point. But existing mapping software was neither powerful enough to allow for synchronous collaboration with AI agents, nor open source to allow the community to build on top of it. If we want to get the most out of LLMs, we need to create our own GIS that is purposefully designed for AI—Mundi. With Mundi, you collaborate with Kue, our AI GIS agent, to edit your map, rather than physically interacting with tools as you would in a legacy GIS.

We’re launching Mundi, the first open-source web GIS built for AI. After years of training geospatial AI models, we decided now is the moment to build the GIS software of the next decade. After the AI Vectorizer, Georeferencer, and Kue (our LLM agent inside QGIS), we realized that GIS is at an inflection point. But existing mapping software was neither powerful enough to allow for synchronous collaboration with AI agents, nor open source to allow the community to build on top of it. If we want to get the most out of LLMs, we need to create our own GIS that is purposefully designed for AI—Mundi. With Mundi, you collaborate with Kue, our AI GIS agent, to edit your map, rather than physically interacting with tools as you would in a legacy GIS.

Brendan Ashworth

40,991 次观看 • 11 个月前

Notifications tab was all we had left, And now it’s basically a for you page customised by Mr Algorithm himself. 2026 is the year I evade all algorithms. Fuck all algorithms. Algorithm can suck its mum.

Notifications tab was all we had left, And now it’s basically a for you page customised by Mr Algorithm himself. 2026 is the year I evade all algorithms. Fuck all algorithms. Algorithm can suck its mum.

Jme

45,950 次观看 • 5 个月前

Can LLMs invent better ways to train LLMs? At Sakana AI, we’re pioneering AI-driven methods to automate AI research and discovery. We’re excited to release DiscoPOP: a new SOTA preference optimization algorithm that was discovered and written by an LLM! Our method leverages LLMs to propose and implement new preference optimization algorithms. We then train models with those algorithms and evaluate their performance, providing feedback to the LLM. By repeating this process for multiple generations in an evolutionary loop, the LLM discovers many highly-performant and novel preference optimization objectives! Paper: GitHub: Model: We proudly collaborated with the University of Oxford (Foerster Lab for AI Research) and Cambridge University (Mihaela van der Schaar) on this groundbreaking project. Looking ahead, we envision a future where AI-driven research reduces the need for extensive human intervention and computational resources. This will accelerate scientific discoveries and innovation, pushing the boundaries of what AI can achieve.

Can LLMs invent better ways to train LLMs? At Sakana AI, we’re pioneering AI-driven methods to automate AI research and discovery. We’re excited to release DiscoPOP: a new SOTA preference optimization algorithm that was discovered and written by an LLM! Our method leverages LLMs to propose and implement new preference optimization algorithms. We then train models with those algorithms and evaluate their performance, providing feedback to the LLM. By repeating this process for multiple generations in an evolutionary loop, the LLM discovers many highly-performant and novel preference optimization objectives! Paper: GitHub: Model: We proudly collaborated with the University of Oxford (Foerster Lab for AI Research) and Cambridge University (Mihaela van der Schaar) on this groundbreaking project. Looking ahead, we envision a future where AI-driven research reduces the need for extensive human intervention and computational resources. This will accelerate scientific discoveries and innovation, pushing the boundaries of what AI can achieve.

Sakana AI

555,782 次观看 • 2 年前

Introducing the Cline SDK. We rebuilt the Cline harness for our extension and CLI from scratch using all the lessons learned since creating one of the world's first coding agents in 2024, and are open sourcing it for others to build with today. npm i @cline/sdk 🧵

Introducing the Cline SDK. We rebuilt the Cline harness for our extension and CLI from scratch using all the lessons learned since creating one of the world's first coding agents in 2024, and are open sourcing it for others to build with today. npm i @cline/sdk 🧵

Cline

3,564,620 次观看 • 23 天前

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.

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.

Andrew Tate

1,008,821 次观看 • 7 个月前

His boss told him to teach a new hire how to tig weld in a single shift. & then tried to write him up for his response. My question is why would he hire someone to Tig weld if they didn't know how to Tig weld. That's a skilled trade. What the heck.

His boss told him to teach a new hire how to tig weld in a single shift. & then tried to write him up for his response. My question is why would he hire someone to Tig weld if they didn't know how to Tig weld. That's a skilled trade. What the heck.

J∅kër Kîng 👑

42,977 次观看 • 11 个月前

Wait for it…you heard Jane Fonda (and Tig Notaro)! Now is the time to stand up and be brave.

Wait for it…you heard Jane Fonda (and Tig Notaro)! Now is the time to stand up and be brave.

Victor Shi

123,733 次观看 • 2 个月前

John "Tig" Tiegen reflects on the final mortar attack in Benghazi as we mark the 13th anniversary today. Watch the full now. John “TIG” Tiegen

John "Tig" Tiegen reflects on the final mortar attack in Benghazi as we mark the 13th anniversary today. Watch the full now. John “TIG” Tiegen

Shawn Ryan Show

204,418 次观看 • 8 个月前

Palestine vs the Algorithm! Palestine versus the Algorithm is a fight happening every day. As the Israelis kill journalists, the Algorithm suppresses what they say. The Algorithm has been programmed to mute talk of Palestinian genocide; To gate keep the starvation and the slaughter, and the daily massacres to hide. Palestine versus the Algorithm is one of the great battles of our time. As the Algorithm supports mass murder, TikTok, Youtube, X, all fall in line. But the Algorithm is man-made and paid for by a Zionist agenda, To pervert social media platforms into becoming genocide defenders. Palestine versus the Algorithm, or Technology versus the People. The Algorithm is anti-human, blocking the good that would end the evil. It’s not only Palestinians that the Algorithm is designed to defeat, It's everyone who stands up for life and justice, and who refuses to retreat. Subscribe and Follow Mama on Rumble:

Palestine vs the Algorithm! Palestine versus the Algorithm is a fight happening every day. As the Israelis kill journalists, the Algorithm suppresses what they say. The Algorithm has been programmed to mute talk of Palestinian genocide; To gate keep the starvation and the slaughter, and the daily massacres to hide. Palestine versus the Algorithm is one of the great battles of our time. As the Algorithm supports mass murder, TikTok, Youtube, X, all fall in line. But the Algorithm is man-made and paid for by a Zionist agenda, To pervert social media platforms into becoming genocide defenders. Palestine versus the Algorithm, or Technology versus the People. The Algorithm is anti-human, blocking the good that would end the evil. It’s not only Palestinians that the Algorithm is designed to defeat, It's everyone who stands up for life and justice, and who refuses to retreat. Subscribe and Follow Mama on Rumble:

TheMamaSchwabParody

29,573 次观看 • 8 个月前

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.

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.

Mark T.

18,038 次观看 • 1 年前

"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 🇺🇸

"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 🇺🇸

a16z

36,133 次观看 • 3 个月前