FhtAbd
164 posts
$TIG launching its native L1 next year will be glorious, this project is just too big to sit on @base. Read the last paragraph. A decentralized stable coin pegged to real-world economic output (and compute), sounds like a big deal. The team behind @tigfoundation are visionaries, collectively holding 45+ crypto related patents and the guy bellow is also known for his op_pushtx technique that proved Bitcoin’s smart contract capabilities.
1/ Bitcoin, Ethereum, $TIG Three inventions, three moments where crypto stopped copying and started creating. Most people are still sleeping on number three. Let me explain why #TIG is the most interesting invention in crypto since Ethereum. Thread🧵⬇️
$VVV @AskVenice currently has a market cap of $779m. Uncensored AI will become politically and socially important as we move forward in the AI boom Creators and devs will migrate to it Agents will run on Venice APIs Today, @RobinhoodApp listed VVV which unlocks retail…………….
1/ Algorithms are the most valuable assets on earth. More valuable than oil. More valuable than land. More valuable tha money. And handful of companies are quietly buying all of them.🚩🚩🚩 This is the most important thread you'll read this year. 🧵 $TIG $TAO $XMR
Karpathy will be forming a new pre-training team focused on Recursive Self Improvement and will be teaching Claude to improve Claude's training, reporting from Axios.
Confirmed that Andrej is joining Nick Joseph’s pretraining team at Anthropic and is starting a team that will use Claude itself for research
Andrej, I’m John Fletcher. I have a PhD in mathematics and theoretical physics from Cambridge, and since 2016 I have been working full-time on the problem of how to coordinate untrusted distributed compute for algorithmic innovation. I listened to your No Priors conversation and recognised the architecture you were describing: commits that build on each other, computational asymmetry (hard to find, cheap to verify), an untrusted pool of workers collaborating through a blockchain-like structure. The result is The Innovation Game (TIG), which has been in continuous operation since mid-2024. The correspondence is so close that I thought it worth writing. The short version: roughly 7,000 Benchmarkers test algorithms submitted by Innovators by solving instances of asymmetric computational challenges (SAT, Vehicle Routing, Quadratic Knapsack, Vector Search, among others). This testing is "proof of work" in the technical sense of Dwork and Naor (1992). Innovators earn rewards proportional to adoption by the Benchmarkers. The repository of algorithms is open source (github.com/tig-foundation…). The system is already producing state-of-the-art results. For the Quadratic Knapsack Problem, 476 iterative submissions by independent contributors brought solution quality to a level that now exceeds methods published by Hochbaum et al. in the European Journal of Operational Research (2025). We are working with Thibaut Vidal (Polytechnique Montréal), who has submitted a state-of-the-art vehicle routing algorithm directly to TIG, and with Yuji Nakatsukasa (Oxford) and Dario Paccagnan (Imperial College London), among many others. One of TIG’s active challenges is directly relevant to your autoresearch work: an optimiser for neural network training (play.tig.foundation/challenges?cha…), where Innovators compete to develop an improved optimiser (see screenshot). One way in which TIG extends the vision is on the economic side. In our view, a monetary incentive is required, otherwise the open strand simply cannot compete at scale. TIG’s open source dual licensing model (designed by my co-founder Philip David, who was General Counsel at Arm Holdings for over a decade, and was the artchitect of ARMs licensing strategy) is intended to solve that problem. I expect we have each thought about parts of this that the other hasn’t. Happy to talk whenever suits. John Fletcher tig.foundation
