The future of AI will not only be shaped by better models. It will be shaped by faster, more efficient systems underneath them. That is why Huawei’s Tau Scaling Law (Her’s Law) matters for the post-Moore era. #HuaweiPartner @Huawei #AI #Semiconductors #ChipDesign #MooresLaw
RESEARCH
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Next AI Bottleneck May Be Data Movement, Not Compute
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The next AI bottleneck may not only be compute power. It may be data movement. Huawei’s Tau Scaling Law (aka Her’s Law) brings this question into focus: How much time can we remove from the system? #HuaweiPartner @Huawei
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RunwayML introduces Project Luxo exploring AI video beyond uncanny valley
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Introducing Project Luxo: a new initiative exploring how AI-generated video has crossed the uncanny valley.
— Runway (@runwayml) 26 mai 2026
Over the past few weeks, we’ve shared a series of short films with Hollywood executives, producers, directors, writers, actors and reporters. The response has been… pic.twitter.com/47TOMqzK4rIntroducing Project Luxo: a new initiative exploring how AI-generated video has crossed the uncanny valley. Over the past few weeks, we’ve shared a series of short films with Hollywood executives, producers, directors, writers, actors and reporters. The response has been
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Free ChatGPT Deep Dive Video & Article Breakdown
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I still can’t believe @karpathy released this 3.5-hour deep dive on how ChatGPT actually works… for FREE. 🤯
— Charly Wargnier (@DataChaz) 26 mai 2026
Easily the best video I've watched on the topic.
Swap your next Netflix binge for this.
Then read the ace article below from Codez breaking it all down 👀↓ https://t.co/5RYVSFckqq pic.twitter.com/c8spocCq5rI still can’t believe @karpathy released this 3.5-hour deep dive on how ChatGPT actually works… for FREE. Easily the best video I've watched on the topic. Swap your next Netflix binge for this. Then read the ace article below from Codez breaking it all down ↓
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Karpathy ditches RAG for autonomous Obsidian markdown wiki
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@karpathy literally ditched traditional RAG for an autonomous Obsidian file system. Instead of writing code, he dumps raw AI research into a local folder and lets an LLM convert it into an interconnected markdown wiki. He rarely edits the text manually. By relying purely on
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SkillOpt: Self-Evolving Agent Skills in Agentic AI
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One of the most important objects in agentic AI may turn out to be a Markdown file. Not the model weights.
Not the prompt. The skill document. A new Microsoft paper introduces SkillOpt: Executive Strategy for Self-Evolving Agent Skills. The thesis is sharp: If an agent’s -
Memory Management in AI Systems: MemGPT and Schema Design
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MemGPT is a great parallel. Paging between fast context and slow storage is essentially the same idea; memory needs an explicit policy, not just a bigger buffer. The schema approach pushes that decision even earlier, to ingestion time rather than retrieval time.
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Ultimate step-by-step projects roadmap for becoming AI researcher
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The ultimate step-by-step projects roadmap for BECOMING an AI Researcher is now available online to read FOR FREE Covers building – Tokenizers / embeddings
– Positional methods
– Attention / multi-head attention
– Transformer blocks
– Training loops / objectives
– Sampling -
Knowledge Graph Extraction and Schema Design for AI Systems
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Exactly. The extraction step decides everything downstream, and most systems leave it completely unguided. The moment you add typed entities and constrained edges, the graph stops behaving like a vector store and starts being queryable. Schema should be step one, not an
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Ontology-Constrained Memory as Reasoning Boundary for Agents
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Ontology-constrained memory is a great way to frame it. The key insight that clicked for me is that the schema is not just a filter on what gets stored, it is also a reasoning boundary. What the agent cannot represent, it cannot hallucinate connections about.