tim (@kellogh) 's Twitter Profile
tim

@kellogh

CEO @ dentropy, because everyone deserves their own database getdentropy.com

ID: 421336284

linkhttps://timkellogg.me/ calendar_today25-11-2011 20:29:03

18,18K Tweet

1,1K Followers

534 Following

doomslide (@doomslide) 's Twitter Profile Photo

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) i think you're underestimating the extent centralization of research resources decelerated progress. deepseek is a good tell. every 10x cost reduction 10x's the pool of participants. aptitude to solve the problems in question is very much NOT concentrated in frontier labs.

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) (@teortaxestex) 's Twitter Profile Photo

The awesome thing about open publication culture is you don't have to do everything yourself. Kimi can do the optimizer while DeepSeek is doing reasoning. You also don't need 9000 staff and $300B valuation. You can just cook collaboratively – and compete on execution.

tim (@kellogh) 's Twitter Profile Photo

BREAKING: Startup Groq is reportedly launching a version of its AI ASIC on the consumer market, branded under the name ChatGPU

tim (@kellogh) 's Twitter Profile Photo

New Post: Multi-Agents Are Out, PID Controllers Are In There's a growing trend in the business world to tackle challenges with multi-agents. When the problem gets harder, add agents This. Does. Not. Work. Read on timkellogg.me/blog/2025/03/0…

tim (@kellogh) 's Twitter Profile Photo

this is unhinged. there are ZERO existing signals that it would be dramatically better if it is dramatically better, that would mean some keen innovation, but llama4 hasn’t shown much of that so far

tim (@kellogh) 's Twitter Profile Photo

New Post: MCP Is Unnecessary I can’t think of any strong technological reasons for MCP to exist. There’s a lot of weak technological reasons, and there’s strong sociological reasons. I still strongly feel that, ironically, it is necessary. timkellogg.me/blog/2025/04/2…

Minh Nhat Nguyen (@menhguin) 's Twitter Profile Photo

New Paper!🗣️ When Two LLMs Debate, Both Think They’ve Won️ When deploying AI agents, a common practice is to ask them for self-assessed confidence levels. We find systematic overconfidence in LLMs: by asking two LLMs their chances of winning a debate, both will give >75% odds!

New Paper!🗣️ When Two LLMs Debate, Both Think They’ve Won️
When deploying AI agents, a common practice is to ask them for self-assessed confidence levels. We find systematic overconfidence in LLMs: by asking two LLMs their chances of winning a debate, both will give >75% odds!
Erik Meijer (@headinthebox) 's Twitter Profile Photo

It seems that many people believe that to reach AGI or Super Intelligence we need to train more intelligence into the model. I believe that is a dead end, and unnecessary as well. As the "extended mind" theory posits "... external objects play a significant role in aiding