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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)

5,053 subscribers

90,392 次观看 • 6 个月前 •via X (Twitter)

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14 条评论

Steven Diamond 的头像

Steven Diamond6 个月前

Join our discord to be part of the next research swarm!

Nico⚡(𝔦, 𝔦) 的头像

Nico⚡(𝔦, 𝔦)6 个月前

@tigfoundation @StevenDiam77921 $TIG things, brick after brick, you guys are building and delivering nonstop!

tigintern (𝔦, 𝔦) 的头像

tigintern (𝔦, 𝔦)6 个月前

@StevenDiam77921 @karpathy @beffjezos @dwarkesh_sp I believe these guys are in SF right now

Zac 的头像

Zac6 个月前

@CEIKK14 @StevenDiam77921 Great that word of $TIG is spreading and reaching the right people and places 👏👏

Tommy 的头像

Tommy6 个月前

@tigfoundation @StevenDiam77921 niiiiiiice

Dan Simerman 的头像

Dan Simerman6 个月前

John love your work watching this very closely. I’m having a hard time with the name - literally. You’re building a deep piece of infrastructure /hyperstructure / protocols and it sounds like a blog post title. In our industry you’d be surprised how something like this can impact perceived value.

Adel Bucetta 的头像

Adel Bucetta6 个月前

@StevenDiam77921 the thing people always ask me is how we got it working so fast, and the honest answer is that our framework wasn't even designed for this specific use case until like 2 weeks ago

CryptoKeeper 的头像

CryptoKeeper6 个月前

@StevenDiam77921 Beauty...

Arτ Vandelay 的头像

Arτ Vandelay6 个月前

@StevenDiam77921 Future is bright 👌

2xnmore 的头像

2xnmore6 个月前

@StevenDiam77921 This is a great time to build.

🟥NurrrdFerguson🟥 的头像

🟥NurrrdFerguson🟥4 个月前

@StevenDiam77921 Dudes and ladies, if there's one thing I'm convinced this world needs it's more efficient routing of vehicles and traffic systems. Some towns i drive in are infuriating just based on lights. Then there's the growing fleets of all forms of deliveries through space 🤔🤔🤔important?

τony τao 的头像

τony τao5 个月前

@StevenDiam77921 Very nice

Teodor 的头像

Teodor6 个月前

@StevenDiam77921 @grok Wtf does that mean

Angry Davee 的头像

Angry Davee5 个月前

@StevenDiam77921 What exactly are the opportunities on TIG for normal folks like me

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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

21,675 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

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