Michael Moore

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

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.

ai.meta.comScaling semiconductor expertise with Llama-powered Domain-Expert AgentsAitomatic enables semiconductor companies to build Domain-Expert Agents to capture and scale their deep domain expertise using Llama-based foundation models.

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.

bcs.orgDoes current AI represent a dead end?Eerke Boiten, Professor of Cyber Security at De Montfort University Leicester, explains his belief that current AI should not be used for serious applications.

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

minds.mdCognitive load is what mattersThere are so many buzzwords and best practices out there, but let's focus on something more fundamental. What matters is the amount of confusion developers feel when going through the code.

I feel better about this addiction if I am sharing it with @tonx.coffee.

tonx@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.

We should take a look at this, @vikramsaraph.com ! More LLM board-gaming.

Marc Lanctot@sharky6000.bsky.social

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!

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.

arxiv.orgAccelerated AI Inference via Dynamic Execution MethodsIn this paper, we focus on Dynamic Execution techniques that optimize the computation flow based on input. This aims to identify simpler problems that can be solved using fewer resources, similar to h...