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

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.

Scaling semiconductor expertise with Llama-powered Domain-Expert Agents

Aitomatic enables semiconductor companies to build Domain-Expert Agents to capture and scale their deep domain expertise using Llama-based foundation models.

ai.meta.com

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.

Does 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.

bcs.org

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

Cognitive load is what matters

There 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.

minds.md