Démos @DemosFinance
New York, NY Joined February 2016-
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OpenAI realesed new paper. "Why language models hallucinate" Simple ans - LLMs hallucinate because training and evaluation reward guessing instead of admitting uncertainty. The paper puts this on a statistical footing with simple, test-like incentives that reward confident…
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…
In era of pretraining, what mattered was internet text. You'd primarily want a large, diverse, high quality collection of internet documents to learn from. In era of supervised finetuning, it was conversations. Contract workers are hired to create answers for questions, a bit…
Im indorsing Ali as a a rockstar developer. **this Indorsement was enabled by indorse.us**
It’s been 3 months since OpenAI released the Agents SDK and developers have built incredible things with it Here are the best demos/projects built with the OpenAI Agents SDK (#20 is my fav) 🧵 p.s. try @AgentOpsAI as a tracing provider for the Agents SDK (save for later)
"deep learning ... is the science of modelling functions and probability distributions in very high dimensions." - simon prince
sufficiently complex circuits need to go in the damn weights
i'm bullish on autoregressive language models but i'm fairly bearish on skill acquisition via pure in-context learning
Now would be such a good time to launch Libra
@davidsacks47 I have a few budget-neutral strategies for acquiring additional bitcoin...
BREAKING DeepSeek just let the world know they make $200M/yr at 500%+ profit margin. Revenue (/day): $562k Cost (/day): $87k Revenue (/yr): ~$205M This is all while charging $2.19/M tokens on R1, ~25x less than OpenAI o1. If this was in the US, this would be a >$10B company.
What is the analogue of next-token prediction for reinforcement learning? To get true generality, you want to be able to convert everything in the world to an environment+reward for training.
I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent). I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed…
I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent). I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed…
“Solana is the SBF chain” No, motherfucker It’s the President’s chain.
As the Microstrategy playbook of issuing debt and equity to buy ever more BTC plays out, it will replace Soros breaking the Bank of England as the most legendary event in modern capital markets.
I wonder which company is seriously building the desktop operating system from Her that talks to you and has full access to all your data, running a model locally for privacy (won't work in the cloud I think). Hopefully Apple has the chops to pull this off - quite a hard…
The killer app of LLMs is Scarlett Johansson. You all thought it was math or something

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