LLM Decoding Simplified From the upcoming article on X
MACHINE LEARNING
-
Strategic implications of new scalable, efficient, undetectable AI
By
–
The strategic implication is bigger than the hardware. This points to a new category of real-world AI: → biologically scalable
→ energy efficient
→ hard to detect
→ deployable at density That opens serious use cases across search and rescue, infrastructure monitoring, and -
Embodied AI: The Crucial Test for Contextual Intelligence and Real-World Benchmarks
By
–
The more I study AGI, the more I see Embodied AI as a necessary test of intelligence in context. Robots force AI to face physics, uncertainty, timing, and action.
— Antonio Grasso (@antgrasso) 6 juin 2026
That is why real-world benchmarks matter so much. https://t.co/lGqcmo8EBZThe more I study AGI, the more I see Embodied AI as a necessary test of intelligence in context. Robots force AI to face physics, uncertainty, timing, and action. That is why real-world benchmarks matter so much.
-
Elon Musk, deemed crazy, sees Google rent Colossus for $1B monthly
By
–
Incredible! Elon Musk, considered "crazy" by industry "experts," takes it all. Again. GOOGLE signs and asks ELON MUSK to use Colossus to run their AI for $1 billion per month. This announcement follows Anthropic, creator of the AI
-
LLM inference: mostly about avoiding unnecessary movements
By
–
LLM inference is mostly about avoiding unnecessary movements btw
-
Three-tier memory system prevents context decay after model failures
By
–
Pretty much. Context decay is one of those problems you don't feel until it's already cost you, and by then you've usually blamed the model instead of the memory setup. That's why the three-tier system lands once you've been burned. It turns memory into something you design on
-
State of Generative AI in the Creator Economy
By
–
The state of #GenerativeAI in the creator economy
by Alyssa Mercante @Digiday Learn more: https://
bit.ly/4tgaxHX #AI #LLM #GenAI #ArtificialIntelligence #MI #MachineLearning -
Tesla sales up in China, AI far ahead says Scobleizer
By
–
Meanwhile in China Tesla sales are up. You have no clue how much ahead Tesla’s AI is.
-
Power limiting reduces inference performance by 10% but saves 50% electricity
By
–
Power limited* not throttled Performance loss is negligible, around 10% in inference but I save 50% in electricity