Tem @TheMaximu5

Lived in the steppes as a nomad. Chess enthusiast, Information Economist, Ed-Tech, History lover. Seeking to establish better and new equilibria. #IndustrialAI instagram.com/dontknowmadtem/ Japan, Aichi Joined July 2015

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Taelin @VictorTaelin

20 hours ago

that feeling of dread and despair when the AI is clearly unable to grasp what you're asking, and you realize you'll need to code manually as did the old Mayans

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Tom Dörr @tom_doerr

2 days ago

What it feels like to merge various DSPy pipelines into one program to run end-to-end optimization

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Jack Morris @jxmnop

7 days ago

my grandmother’s lifetime - color film - talking movies - television - cars - airplanes - plastics - penicillin - transistors - computers - the Internet - the Concorde my lifetime - gpt-1 - gpt-2 - gpt-3 - gpt-4 - gpt-5 - the iPad - ozempic

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dr. nick saunders ⏾ @nksaunders

3 years ago

I used chatgpt for research for the first time today, asking it to convert python code to fortran 90 so I can run some custom mesa models. I’ve created a reverse grad student

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Tem @TheMaximu5

a week ago

Still cant tell if its just a skill issue with using gpt-5-high for codex or that claude is still the superior terminal agentic coder

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Simo Ryu @cloneofsimo

2 weeks ago

So we went from "LLM is memorizing dataset" to "LLM is not reasoning" to "LLM cannot do long / complex math proving" to "Math that LLM is doing is not REAL math. LLM can't do REAL math" Where do we go from now?

Edward Frenkel @edfrenkel

2 weeks ago

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Ethan Mollick @emollick

3 weeks ago

At this point, Google Gemini has the worst training opt-out for consumers of any of the big players. Claude doesn't train on your data at all, OpenAI and Grok let you turn off training at will, but you can only turn off training for Gemini if you also disable your chat history.

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Jeremy Howard @jeremyphoward

3 weeks ago

@jachiam0 I think the problem is that a lot of research activity and marketing has been over-focused on math, which isn't as significant in practice as a lot of folks seem to assume.

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Harrison Kinsley @Sentdex

a month ago

Quite the chart

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🦋/acc 🌲 @argyros_selini

2 months ago

What xAI researchers see when they run “nvidia-smi”

Elon Musk @elonmusk

2 months ago

What xAI researchers see when they run “nvidia-smi” https://t.co/PFWGF5GYHd

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Alexander Wei @alexwei_

2 months ago

On IMO P6 (without going into too much detail about our setup), the model "knew" it didn't have a correct solution. The model knowing when it didn't know was one of the early signs of life that made us excited about the underlying research direction!

Daniel Litt @littmath

2 months ago

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Omar Khattab @lateinteraction

2 months ago

It's clear that the next big thing after the shift from RLHF to "RLVR"* is scaling reward models ("verifiers") for concrete capabilities, not just average human preferences. This actually kinda looks very similar to RLHF. The main difference is that the verifiers here: [A] Are…

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Alexander Wei @alexwei_

2 months ago

8/N Btw, we are releasing GPT-5 soon, and we’re excited for you to try it. But just to be clear: the IMO gold LLM is an experimental research model. We don’t plan to release anything with this level of math capability for several months.

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Zhiqing Sun @EdwardSun0909

2 months ago

Another tip: it generates a real pptx file. So you can download the artifact, open it in microsoft powerpoint app, and apply the design you want to all of them!

Isa Fulford @isafulf

2 months ago

Another tip: it generates a real pptx file. So you can download the artifact, open it in microsoft powerpoint app, and apply the design you want to all of them!

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Isa Fulford @isafulf

2 months ago

tip for chatgpt agent slides: first ask it to do the research only, then ask it to make the slides!

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CHOI @arrakis_ai

2 months ago

OpenAI’s agent joined the AtCoder Finals — 10 hours, fully autonomous. It wrote code, built strategies, and improved itself — all without human help. Among the human contestants was Codeforces #76 ‘yosupo’… The agent quietly outperformed him. The day a top-tier human fell to AI…

CHOI @arrakis_ai

2 months ago

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near @nearcyan

2 months ago

unlike other AGI labs, you can't block googler's crawlers or you won't be listed on google

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Han @HanchungLee

2 months ago

xjdr @_xjdr

2 months ago

https://t.co/Grjb90yQeJ

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Richard McElreath 🐈‍⬛ @rlmcelreath

3 months ago

Kinds of science True & Replicable: photoelectric effect False & non-Replicable: many priming results F & Replicable: bad analyses like confounded country-level regressions T & non-Replicable: badly documented experiments, unique observations I think there's a lot of F&R

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Maxime Rivest 🧙‍♂️🦙🐧 @MaximeRivest

3 months ago

@jxmnop I think looking into fields that attempt to understand complex systems (e.g. Biology, Ecological Science, Weather and Planetary Sciences) will help AI researchers more. Probably learning from Physics will help to, but it will not be enough.