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I'm excited to be speaking at the next PyAI Meetup in San Francisco on Nov 11 about using coding assistants to create high-quality, secure code :) Hope to see you there! luma.com/gjtfecc7
Michael Moore
@michaelmoore.ai
#AI, #Cybersecurity, and other technology topics. Trying to make the world a better place. Personal account; my views only. Work: https://s1.ai/purple at @sentinelone.com
5.5K followers909 following157 posts
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I'm excited to be speaking at the next PyAI Meetup in San Francisco on Nov 11 about using coding assistants to create high-quality, secure code :) Hope to see you there! luma.com/gjtfecc7
Llion Jones, co-author of the 2017 paper that launched the transformer era, says he’s ‘absolutely sick’ of transformers — and believes the field’s over-fixation on one architecture may be stifling the next breakthrough. venturebeat.com/ai/sakana-ai...
Michael Moore reposted
At the Man vs. Machine hackathon, co-hosted by AI nonprofit METR to test if AI helps people code faster and better, the top prize went to an "AI-supported" team (Kylie Robison/Wired) Main Link | Techmeme Permalink
Great overview of different methods to build reasoning a #LLM.
A great overview of all things LLM from Andrej Karpathy, targeted at a (relatively) general audience.
#Unsloth fixes bugs in Phi-4, dramatically improving the performance of the small #LLM. Unsloth continues to impress.
Regex-based #chess? Sure, why not. Nicholas Carlini stitches 84,688 regex snippets into a 2-ply minimax engine. Pure #hacker whimsy at its finest.
"I gained remote code execution via MIDI messages to trick my synth into playing Bad Apple on its LCD." I love this kind of #ReverseEngineering project :)
Fascinating to see a systematic approach using system safety and control theory by Google #SRE. An approach like this is needed with sufficiently complex systems to help prevent and mitigate complex failures.
Turns out, at least in this experiment, telling an #LLM to write better code actually helps. (Also, perhaps a rare time Betteridge's Law is disobeyed.)
How small can a #AI language model be?
Now your proof of life includes saving pixelated worlds from the demons of Doom. Once again, it is proven that Doom can run on anthing - even a CAPTCHA prompt.
Indexing code well is a tough problem, especially at scale. Interesting namespace conflict between products that ... um ... index things. #programming
@kagi.com is pretty awesome. Thanks to @gruber.foo for highlighting. Worth a visit and try for any user, and a worthwhile shot at making a straightforward business model work for #search. The `?` operator to trigger an AI summary is just a truly inspired design.
@irisvanrooij.bsky.social argues that #AI should refocus on its original goal: serving as a theoretical tool to advance cognitive science—not just building smarter machines.
SemiKong, built on #Llama 3.1, is an open-source #AI tailored for the #semiconductor industry. It streamlines chip design, boosts manufacturing precision, and accelerates workforce training—promising faster innovation and smarter production pipelines. A hopeful leap for smarter semiconductors.
Not familiar with Betteridge’s Law? Google it (or ask your favorite AI). Today’s #AI is messy, but sound engineering will catch up. Half-baked products skew perceptions, but quality systems are possible. (See s1.ai/purple 😉) The Wright Flyer was pretty wobbly too on its first few flights.
Sending good energy to the #OpenAI SRE staff who are surely working late tonight. status.openai.com/incidents/6b...
I should note that the site hosting this post I just referenced has an emulator that runs The Print Shop, and *GENERATES PDFS* of the output. ...awesome. theprintshop.club
Who else thinks the world today is missing the charm of a dot-matrix-printed banner from The Print Shop? #nostalgia
This channel is so great. Watch for a history of #ethernet #networking and why most of us are using twisted-pair cables with RJ-45 connectors.
Artem Zakirullin argues that reducing cognitive load in code—especially extraneous complexity—is key. Simplify conditionals, use clear names, and avoid deep nesting. Clean code is easy on the brain of a #developer. #programming
It's likely my followers have already read this about #o3, but if not you should take a moment to do so. Yesterday was a *big* day for #AI, #OpenAI, and the path toward #AGI.
This is a down-and-dirty look at building your own high-performance #AI #LLM inference engine, from raw #CUDA kernels on up. The result? Beating top-shelf libraries at their own game. Still probably best to use a supported library in production, though.
Michael Moore reposted
If you write Python scripts, make yourself a favor and use the Rich library to beautify their output 🐍 🧑💻
I feel better about this addiction if I am sharing it with @tonx.coffee.
My dumbest addiction is canned sparkling water and I'm enough of a connoisseur to have dumb opinions about many brands and flavors. One piece of wisdom I can impart from this journey is that *lime* is the most universally palatable flavor across all brands.
Michael Moore reposted
Inspired by @wimlds.bsky.social , I looked for a "Women in Machine Learning" starter pack and couldn't find one. So I created one! May have some mistakes. I'll try to do an AI ethics one next. 🤗 go.bsky.app/LT6CwNN
Excited to see #redis founder @antirez.bsky.social here on Bluesky, and more generally "back" to redis! :)
Very interesting repo on using #rust for #securityresearch.
This is super cool. I'm looking forward to others replicating this in different environments and seeing how well it works.
This is super useful for quick #LLM comparisons. Reminds me of instances.vantage.sh
We should take a look at this, @vikramsaraph.com ! More LLM board-gaming.
Super happy to reveal our new paper! 🎉🙌♟️ We trained a model to play four games, and the performance in each increases by "external search" (MCTS using a learned world model) and "internal search" where the model outputs the whole plan on its own!
Exciting new #AI foundation model from #Google.
Dynamic #AI execution optimizations: inspired by human cognition, these methods (early exits, speculative sampling, adaptive diffusion) promise to save compute, slash latency, and boost throughput—without sacrificing quality.
foo is not in the sudoers file. This incident will be reported. (see also: xkcd.com/838/)
New #AI research suggests #LLM pretraining encourages the development of "reasoning" skills by learning general procedures, rather than just memorizing answers.
Michael Moore reposted
If you've been following my Christmas light saga... this year's video has made me happier than ever! youtu.be/qSFNufruSKw
A great #history read for your moning. I've had the great honor to work with a few people who spent many years at Bell labs, and they were truly inspirational.