Today's report covers a wide range of sources: 21 articles (5 featured), 26 KOL tweets, 5 GitHub trending projects, and 1 podcast episode. The most notable trend is the shift from training-centric to inference-centric AI infrastructure, highlighted by Stratechery's deep dive and OpenAI's new securit

Today's report covers a wide range of AI activity: 3 featured articles, 5 GitHub trending projects, and 12 KOL tweets. The biggest story is the explosion of Agent infrastructure — from Anthropic's official skills repo to Nous Research's self-improving agent framework, the ecosystem is maturing fast.

Today's AI landscape is dominated by Agent infrastructure — from GitHub's Spec-Kit for spec-driven coding to Anthropic's official Claude Agent SDK and ByteDance's UI-TARS Desktop. Meanwhile, China released its first AI Agent policy framework, and Apple open-sourced LiTo for 3D generation. The big pi

Today's AI landscape is dominated by a single, powerful trend: the race to build and deploy autonomous agents is accelerating fast. From OpenAI's safety playbook for Codex to Anthropic's Claude Mythos Preview achieving 80% success on long-horizon tasks, the industry is moving beyond chat into real-w

Today's report covers 18 articles, 27 tweets, 5 GitHub projects, and 2 podcast episodes. The big story: AI agents are everywhere — from GitHub's token optimization playbook to Mozilla's security breakthrough with Claude Mythos. The Jevons paradox is playing out in real time: inference costs dropped

Today's AI landscape is dominated by a single theme: agents are getting serious. From Anthropic's massive infrastructure deal with xAI to GitHub's new validation framework for non-deterministic agent behavior, the industry is moving beyond toy demos into production-grade systems. We're covering 13 a

Today's report covers 16 articles (5 featured), 29 KOL tweets, 5 GitHub trending projects, and 1 podcast episode. The big trend: AI infrastructure is heating up fast — xAI's Grok 4.3 API, OpenAI's GPT-5.5 Instant, and major funding rounds for DeepInfra and RadixArk all point to a platform race. On t

Today's AI landscape is dominated by a single, massive theme: AI systems are starting to build themselves. From Import AI's data-driven prediction of automated AI R&D by 2028, to a flurry of new Agent frameworks and tools on GitHub, the shift from "AI as a tool" to "AI as an autonomous worker" is ac

Today's AI landscape is dominated by a sobering reality check on LLM Agents. Top voices like Andrej Karpathy and Yann LeCun argue that LLMs aren't rational decision-makers — they're pattern completers. Meanwhile, the tooling ecosystem is exploding: OpenAI dropped Agents SDK 2.0, Nous Research releas

Today's AI landscape is dominated by one theme: agents are eating the world. From Mistral's new remote coding agents to a surge of open-source multi-agent orchestration tools, the shift from chatbots to autonomous executors is accelerating fast. KOLs are calling it the core driver behind the compute

Today's AI landscape is dominated by the Agent wars heating up — Codex expands beyond coding into knowledge work, Claude gets creative tools, and GPT-5.5 matches Claude Mythos in cyber attack tests. On the infrastructure side, Baseten's CEO breaks down the 30x inference demand surge, while Meta's Au

Today's AI landscape is dominated by multi-agent safety and the Agentic inflection point. Microsoft's red-teaming reveals four novel network-level risks when 100+ agents interact, while Karpathy declares December 2025 as the turning point for agentic systems. NVIDIA's OpenClaw project signals the ri