Advertisement · 728 × 90

Posts by Jeremy Howard

Jeremy Howard interview at PytorchCon with Anna Tong
Jeremy Howard interview at PytorchCon with Anna Tong YouTube video by Jeremy Howard

Great interview by @howard.fm on AI. Nice to see him continuing to mask.

Jeremy Howard interview at PytorchCon with Anna Tong
www.youtube.com/watch?v=LrFb...

2 months ago 5 2 0 0
The Dangerous Illusion of AI Coding? - Jeremy Howard
The Dangerous Illusion of AI Coding? - Jeremy Howard YouTube video by Machine Learning Street Talk

This is one of the absolute best conversations on AI and software I've heard in a while. (I listen to a lot of stuff about AI.) @howard.fm is an expert & practitioner who cuts through the noise & false dichotomies, to talk about the joys & pitfalls of human machine collab

youtu.be/dHBEQ-Ryo24?...

1 month ago 18 3 0 0

1/n

"Getting better at the particular prompting skills or whatever details of the current generation AI CLI frameworks isn't growing.

You know, that's as helpful as learning about the details of some AWS API when you don't actually understand how the internet works.

4 weeks ago 3 2 1 0
Preview
Can a Contract Freeze the Law on Autonomous Weapons? – Answer.AI OpenAI claims its contract with the Department of War locks in current laws on autonomous weapons. Based on the contract language OpenAI has shared, 150 years of Supreme Court precedent, and the found...

According to OpenAI, their contract with the US DoW locks in current law, "even if those laws or policies change in the future".

Our legal analysis, with Virgil Law CEO Luke Versweyveld, shows that this is almost certainly incorrect.
www.answer.ai/posts/2026-0...

1 month ago 62 9 0 1

Lemme know what you find :) And thanks for trying FastHTML.

2 months ago 1 0 0 0

Thanks Christian! :D

2 months ago 1 0 0 0

This is great news! Too few ML practitioners know what a gamechanger nbdev can be. Years ago at AMD I used nbdev (version 1?) to implement an early prototype of FSR4 realtime super resolution. It was self-explanatory (e.g. with diagrams showing examples of jittering and temporal super resolution)…

2 months ago 14 4 2 0

Lots of folks have been asking for this for a while, but we wanted to wait until TOML support in the python stdlib was widely available. 3.11 added that support, and is pretty widely installed now.

(We install `tomli` to backfill support where needed.)

2 months ago 5 0 0 0
Getting Started – nbdev Create delightful software with Jupyter Notebooks

nbdev v3 is released!

The big change is that nbdev now uses pyproject.toml, not settings.ini, for all config. (nbdev v1 predates pyproject's support for project metadata, so we used our own settings file.)

v3's `nbdev_migrate_config` automates migration
nbdev.fast.ai/getting_star...

2 months ago 44 5 2 1
Advertisement

Actually Claude Skills et al are just a re-implementation of this idea - i.e give LLMs access to links with descriptions to LLM-friendly info, and let it follow them if it wants to.

2 months ago 2 0 0 0
Bluesky Network Analyzer Find accounts that you don't follow (yet) but are followed by lots of accounts that you do follow.

There is a third-party app for this, you can find it here: bsky-follow-finder.theo.io

My impression with bluesky is that a lot of things exist but there is just no way of finding them.

@nkgarg.bsky.social

2 months ago 17 4 3 3
Preview
How To Use AI for the Ancient Art of Close Reading – fast.ai Experiments in reading with LLMs

Close reading is a technique for careful analysis of a piece of writing, practiced by many ancient cultures, major religions, & academic scholars. The latest fastai course experimented with using AI to go deeper when reading. 1/

www.fast.ai/posts/2026-0...

2 months ago 19 4 1 1
Post image

E.g:

2 months ago 3 0 1 0

llms.txt has nothing to do with SEO. It's basically a pre-written CLAUDE.md/AGENTS.md file to help people using stuff like Cursor and Claude Code use your site/product. It's not used for training LLMs.

2 months ago 5 0 1 0

Thanks!

3 months ago 1 0 0 0
Preview
Large language models in global health - Nature Health Large language models (LLMs) are emerging as powerful tools in healthcare, with a growing role in global health, particularly in low- and middle-income countries. This Perspective examines the current...

GenAI has the potential to worsen health inequities. In a new review we show that with intent, confronting the challenges, it could be just the opposite, globally
led by @nliulab.bsky.social
nature.com/articles/s44...

3 months ago 109 37 2 0

It's Opus 4.5 btw.

3 months ago 1 0 1 0

I gave it 15. It found nothing of interest. I'm not gonna spend more time on this for now since it seems like a dead-end.

3 months ago 0 0 1 0
Advertisement
Post image

Claude didn't find much tbh

3 months ago 1 0 1 0

*wdym

3 months ago 0 0 0 0

wdyt? (I haven't tried installing it, so I'm curious to know if I really should be avoiding it!)

3 months ago 1 0 2 0

Thanks Phillip :)

3 months ago 1 0 0 0

Oh wow, deepseek is starting to make serious progress on LLMs that offload memory to external storage: github.com/deepseek-ai/...

3 months ago 217 26 6 8

Cool! :)

3 months ago 0 0 0 0

Great - nice clear answer here:
bsky.app/profile/spac...

3 months ago 1 0 0 0

(Sorry for the n00b questions, I hope they're not too annoying!)

3 months ago 2 0 0 0

Does clicking the "show less like this" button do anything on that feed BTW? Are there some docs or anything about how to get the best out of it?

3 months ago 3 0 4 0

ZLUDA, now in its third iteration, has added support for CUDA 13.1 compatibility on non-NVIDIA GPUs (well… AMD GPUs).

- 1st iteration: Intel created ZLUDA as a drop-in replacement for CUDA on non-NVIDIA GPUs.
- 2nd iteration: AMD took over development after Intel dropped support.

3 months ago 22 3 2 0
Advertisement
Preview
Advancing Claude in healthcare and the life sciences Introducing Claude for Healthcare with HIPAA-ready infrastructure, plus expanded Life Sciences tools for clinical trials and regulatory submissions. New connectors to CMS, Medidata, and ClinicalTrials...

Anthropic announces Claude for Healthcare and expanded Life Sciences tools.

By connecting directly to data sources like CMS and Medidata, Opus 4.5 aims to reduce administrative burdens. There are some promising ideas, but we need to see if they can deliver.
#MedSky #MLSky

3 months ago 30 3 0 1

One of my favorite findings: Positional embeddings are just training wheels. They help convergence but hurt long-context generalization.

We found that if you simply delete them after pretraining and recalibrate for <1% of the original budget, you unlock massive context windows. Smarter, not harder.

3 months ago 219 33 8 1