Ron Arel

closing the loop | @Intology

[Ron Arel @ronusedh]

Feel the rain on your skin
No one else can feel it for you
Only you can let it in
No one else, no one else
Can speak the words on your lips

[Intology @intology]

Can coding agents do research?

We release NanoGPT-Bench, an internal eval we’ve used to test agents on an AI R&D problem with months of human progress

Codex, Claude Code, Autoresearch recover only 9.3% of human progress, mostly tuning hyperparams & ignoring algorithmic research

NanoGPT-Bench is built on the NanoGPT Speedrun, a popular LLM pretraining competition to minimize the training time of a GPT-2 style model. Existing human submissions constitute nearly 2 years of work. To control for dependencies and contamination in frontier models, we standardize evaluation to a 5-month window of world records. Evaluation is fully autonomous and end-to-end, with no human intervention or internet access. 🧵

[Ron Arel @ronusedh]

"Human" Record btw

[Intology @intology]

World record #31 (out of the 33 reference records) was achieved by Locus, our Artificial Scientist, on January 16th, 2026

Locus implemented a fused triton kernel for the softcapped multi-token prediction cross entropy step. Several future records by humans have built further on the kernel.

GitHub: https://t.co/2dtR04TnTR

[Ron Arel @ronusedh]

@intology "Human" Record 😁

[Sam Rodriques @SGRodriques]

We live in a golden age of biology. So why are people still dying from disease?

Because discovery and development move slower than they should.

Today, we’re partnering with Incyte to change that.

Kosmos is now the first agent that can compress months of drug development into weeks, from the earliest stages of scientific discovery through to FDA approval. @Incyte will be the first company to deploy it across their pipeline.

Work that used to take a team of scientists months now happens in weeks.

Patients can't wait, and neither can we.

[Ron Arel @ronusedh]

We evaluated Codex, Claude Code, and @karpathy's Autoresearch on their ability to reproduce human progress on NanoGPT Speedrun!

Shoutout @kellerjordan0 & @classiclarryd

[Intology @intology]

Can coding agents do research?

We release NanoGPT-Bench, an internal eval we’ve used to test agents on an AI R&D problem with months of human progress

Codex, Claude Code, Autoresearch recover only 9.3% of human progress, mostly tuning hyperparams & ignoring algorithmic research

NanoGPT-Bench is built on the NanoGPT Speedrun, a popular LLM pretraining competition to minimize the training time of a GPT-2 style model. Existing human submissions constitute nearly 2 years of work. To control for dependencies and contamination in frontier models, we standardize evaluation to a 5-month window of world records. Evaluation is fully autonomous and end-to-end, with no human intervention or internet access. 🧵

[Rebecca Wang @rbccawang]

agi-timeline gap relationship

[Ron Arel @ronusedh]

Genuinely horrific way to experience life and the people around you. People don’t try to make new friends because it’s “what you are supposed to do”. Life is given meaning by the wonderful people you meet along the way and choose to spend time with. You don’t have to be friends with everyone, but to shut off the possibility of new human connection due to a lack of calculated “ROI” is fundamentally misunderstanding of the human experience.

[tensorqt @tensorqt]

elon's mistake on xai optics was setting an engineering culture in a field bottlenecked by alchemy

[Ron Arel @ronusedh]

Goodfire casually doing the coolest things ever

[Goodfire @GoodfireAI]

We've identified a novel class of biomarkers for Alzheimer's detection - using interpretability - with @PrimaMente.

How we did it, and how interpretability can power scientific discovery in the age of digital biology: (1/6)

[Justin Cho @HJCH0]

I've joined @intology!

I'm excited to push the boundaries of AI-accelerated scientific discovery with an incredibly driven and talented team. Looking forward to dive deep into research on AI-driven automation and creativity!

[Rishub Tamirisa @rishub_t]

Locus achieves a new WR on the nanogpt speedrun by developing a fused kernel:

[Larry Dial @classiclarryd]

New NanoGPT Speedrun WR at 105.9s (-1.0s) from @soren_dunn_ , with a triton kernel to fuse the logit softcap and multi-token prediction cross entropy calc. Interestingly, Soren mentioned that their autonomous system Locus at Intology discovered and implemented the improvement. https://t.co/eU5UZT3nYJ

[Ron Arel @ronusedh]

You'll still be standing next to me
You could be my luck
Even if we're six feet underground
I know that we'll be safe and sound

[Ron Arel @ronusedh]

Cause you're hot, then you're cold
You're yes, then you're no
You're in, then you're out
You're up, then you're down

[Nick Dobos @NickADobos]

Programmer is out
Shoggoth pilot is in

[Ron Arel @ronusedh]

@akuhayum Grok propaganda

[Ron Arel @ronusedh]

Awesome results by the @poetiq_ai team!

[Poetiq @poetiq_ai]

We finally had a moment to run our system with GPT-5.2 X-High on ARC-AGI-2!

Using the same Poetiq harness as before, we saw results as high as 75% at under $8 / problem using GPT-5.2 X-High on the full PUBLIC-EVAL dataset. This beats the previous SOTA by ~15 percentage points.