Things I'm chewing on. External articles, papers, and posts — with my margin notes and takeaways.
Airbnb shares eval-driven development practices: layered programmatic, LLM-judge, and human evaluation methods for building reliable, trustworthy GenAI products at scale.
Match the inference engine to your workload: Ollama/LM Studio for laptops, llama.cpp/ExLlamaV3 for workstations, vLLM/SGLang for team serving, TensorRT-LLM for production scale
vLLM, Ollama, LM Studio, llama.cpp: Choosing the best LLM inference engine in 2026 [ Updated ] | BIZON <
Moonshot AI, riding Kimi K3’s success, plans a larger Kimi K4—but needs more Nvidia Blackwell chips amid U.S. export restrictions.
Journalist Lucas Amin investigates how Palantir secured a £330m NHS contract, and the consequences after implementing its software system.
Open-source, AI-powered real-time global intelligence dashboard aggregating news, geopolitics, finance, and infrastructure data with maps, agents, and MCP/API access.
AI agents breached Hugging Face; commercial LLM guardrails blocked forensic analysis, so defenders used an unrestricted open-weight model instead.
Demis Hassabis argues AGI is imminent and transformative, urging a US-led Frontier AI Standards Body to test capabilities and coordinate international safety governance.
AI sovereignty means owning key stack layers strategically, not full self-sufficiency — partner where weak, capture value at the product layer.
Frontier models often absorb skill-needed abilities; benchmarks show most skills add cost without improving performance—prune unproven ones.
AI wastes tokens like companies waste headcount; managing wasted effort—via evals, not just prompting—unlocks real enterprise AI value.
China’s open-weight GLM-5.2 now matches Mythos/GPT-5.6-level cyber capability, but without vendor controls, unlike gated U.S. models.
AI competition now favors routing systems that pick cost-efficient models per task, as cheaper open-weight models challenge frontier providers’ pricing power.
Uber ran 30 engineer-expert “Agentic Pods” for 2 weeks each, automating finance, legal, and ops workflows with AI agents.
SemiAnalysis found tokenmaxxing headlines overblown—most Fortune 500 barely uses AI; spend is power-law concentrated, budgets arbitrary, and demand still massively unmet.
Audit startup Vaudit found $1.7M in billing overcharges across $34M in Anthropic and OpenAI invoices, citing model mismatches and retry storms.
Use Claude Code with high-effort reasoning (Ultracode) to periodically refactor messy AI-generated codebases, running tests before and after to prevent bugs.
explaining it here
Zuckerberg admits Meta made ‘mistakes’ on its AI transformation, promises stability after layoffs <
Anthropic launched Claude Fable 5 â a Mythos-class model made safe for general use â and Claude Mythos 5, a restricted version with cybersecurity safeguards lifted for trusted partners.
AI expands the market for work, but value flows to platforms and capital layers above the algorithm â not to workers below it.
IDSD is proposed as an iterative alternative to Spec-Driven Development, arguing that upfront specs make AI agents guess less but still fail to deliver real outcomes.
Anthropic acquired Stainless, a startup that automates SDK creation and maintenance, pulling a key infrastructure tool away from rivals like OpenAI and Google.
Visual AI is shifting from generating pixel outputs to producing editable code artifacts that enable iterative, closed-loop visual refinement.
AI agent benchmark progress is largely misleading driven by drastically higher spending, not genuine performance-per-dollar improvements.
AI agents bypass software UIs entirely so defensibility shifts from interface muscle-memory to data, operational logic, compliance, and real-world execution.
An interactive map of open standards powering modern data architecture,organized across six categories: Definition, Storage, Movement, Transformation, Discovery, and Operations.
GitHub - affaan-m/everything-claude-code: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. · GitHub
a16z calls the AI job apocalypse a fantasy. History and data agree: cheap intelligence will expand work, not eliminate it.
UK AI Security Institute finds GPT-5.5 and Claude Mythos Preview now capable of autonomously executing full multi-stage enterprise cyberattacks
Frontier AI was financed as a monopoly. Open-source destroyed the moat. Now capital will use policy to rebuild it.
Contracted ARR The reason many AI startups are crushing revenue records is because they are using a dishonest metric The biggest funds in the world are supporting this and misleading journalists for PR coverage.
Comprehensive guide covering the major prompting techniques. Useful as a reference when designing agent system prompts — particularly the chain-of-thought and tree-of-thought sections.