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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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
What it feels like to merge various DSPy pipelines into one program to run end-to-end optimization
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
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
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
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?
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?
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.
@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.
What xAI researchers see when they run “nvidia-smi”
What xAI researchers see when they run “nvidia-smi” https://t.co/PFWGF5GYHd
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!
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!
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…
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.
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!
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!
tip for chatgpt agent slides: first ask it to do the research only, then ask it to make the slides!
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…
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… https://t.co/fOxDLfMUiL
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
@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.

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