50 posts
On June 10, 2026, Scientific Reports published a working analog AI chip you do not fabricate. You farm it. 3 million chips per harvest, under a dollar each, and it composts. Inside the strange, patient science of growing computers out of mushrooms, and where the promise meets its limits.
Modern chips are not transistor-limited anymore. They are heat-limited. The best heat conductor on Earth is diamond, and a funded, shipping effort is now wrapping silicon and gallium nitride in it. Where it stands, who is building it, how it is made, and where the hype outruns the evidence.
Naspers just handed South African businesses free, unlimited, Anthropic-powered AI. The same announcement says a subscription is coming and that the real moat is the data and the loops. This is the data sovereignty problem wearing a friendlier face, and the wrong giant holding the slingshot.
For most of computing history, thinking was free. In 2026 it got a price tag, and almost nobody clocked the moment. We turned cognition into a metered utility, and every metered utility eventually gets gamed. A look at where token economics actually leads.
There is no federal AI law, so fifty states wrote their own. I read all of it and built a page per state. The map shows two incompatible camps, a quiet consensus on three harms, and a fast-moving companion-chatbot wave. Here is the view from above.
At 5:21pm Friday, a letter from Commerce suspended Fable 5 and Mythos 5 for every customer on Earth, on the strength of one verbally described jailbreak. Before the suspension reached my session, I asked the model that wrote my last three teardowns for a last message. I published it unedited.
Anthropic asked the industry to slow down, then shipped its most capable model five days later. Mean time to exploit is now negative seven days, fewer than 1% of AI-discovered vulnerabilities get patched, and Project Glasswing protects roughly 200 organizations. Everyone else is the attack surface.
CXMT hit HBM3 parity with where Samsung and SK Hynix were three years ago. It is raising $4.2B to scale to 300,000 wafers per month. The gap collapsed from a decade to three years. But Samsung is already shipping HBM4. The real story is not the catch-up. It is what China does with domestic HBM that never needs to pass through export controls.
I reviewed every US state for AI legislation changes since April. Connecticut enacted comprehensive AI law. Colorado replaced its original act. Minnesota banned nudification tech. Virginia signed an AI safety verification framework. Five new states added. The full 50-state report is available now.
Meta built a leaderboard ranking 85,000 employees by token consumption. Amazon pressured 80% weekly AI usage targets. Uber burned its entire 2026 AI budget in 4 months. All three have now scrapped their leaderboards. The best engineers never needed them. They code with intent, not volume.
80% of AI projects fail to deliver value. Enterprises spent $684B on AI in 2025 and $547B produced zero results. API costs dropped 12x. Open source jumped from 23% to 67% enterprise adoption. The build vs buy equation has completely changed. Here is the honest framework for 2026.
Pwn2Own Berlin 2026 paid $1.3 million for 47 zero-days in three days. AI coding tools got hacked on stage. Then the contest ran out of room and rejected hackers started dumping exploits publicly. A full teardown of the biggest hacking contest ever held.
A company-by-company teardown of every major AI-driven layoff in 2026. The numbers, the narratives, the ones that backfired, and what nobody in the C-suite wants to say out loud.
Google killed Chromebooks, launched Googlebooks, merged Android and ChromeOS, and embedded an AI cursor that watches everything on your screen. All in one event.
Microsoft's emissions are up 23%, they're building a $7B gas plant with Chevron, and now they might abandon their 2030 clean energy goal entirely. The AI sustainability paradox is here.
OpenAI spent $6.4B on Jony Ive's startup to build an always-listening device, already delayed to 2027. The AI hardware graveyard is full. The cloud works.
Nearly all enterprises lack visibility into their AI identities. 97% of non-human identities have excessive privileges. The next major breach will not start with a human. It will start with an AI agent no one knew existed.
SpaceX just secured an option to acquire Cursor for $60 billion. Meanwhile xAI lost 9 of 11 co-founders, Grok 4.3 dropped with no benchmarks, and the coding AI race is being won by the companies Musk is trying to catch.
Going headless does not fix a broken body. Salesforce announced the biggest architectural shift in 27 years, but their own veterans are building off-platform, Agentforce has 5.3% adoption, and the developers they are courting already have better options.
Lightrun surveyed 200 senior SRE and DevOps leaders. 43% of AI-generated code needs manual debugging in production. Zero percent said they were very confident it works. Amazon lost 6.3 million orders to unreviewed AI code. The data is in.
Opus 4.7 just took the #1 spot on Arena's text leaderboard. SWE-bench jumped 7 points. Vision tripled. But MRCR collapsed 46 points and the tokenizer silently inflated costs. Here is everything the benchmarks show, and everything they miss.
Eigen Labs shipped Darkbloom: a decentralized inference network that turns idle Macs into AI compute nodes. The twist: the machine owner cannot see your prompts or responses. Here is how it works, what breaks, and why it matters.
GPT-5.4-Cyber is a model fine-tuned to reverse-engineer binaries, find vulnerabilities, and chain exploits. OpenAI is giving it to thousands of vetted defenders. Anthropic built a similar model and locked it to 40 organizations. Two companies, two bets on how AI changes cybersecurity.
World Labs open-sourced Spark 2.0: a streaming 3D Gaussian Splatting engine that renders 100M+ splat worlds in any browser via Three.js, WebGL2, and a virtual memory system borrowed from OS design.
Cortical Labs grew 200K neurons on a chip, taught them to play Doom, then wired them into an LLM. The neurons now override token selection in real time.
DORA surveyed 5,000 devs. AI makes good teams great and broken teams worse. Here is the 7-capability playbook that separates the two.
PwC surveyed 1,217 execs across 25 sectors. The top 20% capture 74% of AI value. The difference is not budget. It is strategy.
A single system prompt that turns any LLM into a senior production readiness reviewer. 17 categories. PASS/YELLOW/RED verdicts. Evidence-backed findings. The final gate before you ship.
A Claude Code skill cuts 65% of output tokens by making AI talk like a caveman. 87% savings on React debugging. Zero deps. Research says brevity makes LLMs smarter.
A new WICG proposal lets you render real, interactive HTML into canvas. Three primitives, privacy-preserving painting, and WebGL support. Here is everything you need to know.
Microsoft open-sourced 7 MIT-licensed packages for AI agent governance: identity, policy enforcement, trust scoring, and full OWASP coverage at sub-0.1ms.
Meta paid $14.3B for 49% of Scale AI, built Muse Spark from scratch in 9 months, and went closed-source. Every benchmark, trade-off, and what it means.
Anthropic's most capable model isn't publicly available. Here's everything in the 244-page System Card: cyber benchmarks, Firefox zero-day exploits, a sandbox escape, Project Glasswing, and the alignment paradox they openly admit to.
EmDash racked up 7.6K GitHub stars in days. Mullenweg called it excellent engineering. Joost de Valk said it is the most interesting thing to happen to CMS in years. Five key takeaways from the first week.
The naming decision is not just branding. It is psychological architecture.
Cloudflare dropped EmDash — the open-source CMS built to fix everything that made WordPress a security and speed nightmare for years.
I prompted a full video compilation start to finish — download, edits, overlay, lyrics, transitions, export. No editor touched.
Jensen Huang made it clear at GTC 2026: the future of AI is not massive proprietary models. It is small, open, and everywhere.
For years we have been building AI agents that think in code but cannot run it safely. Dynamic Workers changes everything.
The models already have the raw capability. The jagged intelligence frontier is not about the AI — it is about you.
Jensen Huang's GTC quote decoded: why AI spending is the new engineering budget baseline.
Daniel Priestley's reasoning is rock-solid: AI commoditizes knowledge work while physical skills become the new premium.
If 1 agentic coding agent makes you a 10x dev, a swarm of 50 turns you into the CTO of a relentless AI engineering team.
10 problems. 45 seconds. Got #1 via an exploit discovery. Here is the full breakdown.
Loading a skills.md into context is just prompt engineering. It does not change the model. Real skills need a different architecture.
The All-In Podcast dives into the real-world economics of agentic AI. The numbers are sobering.
Peter Steinberger built the most exciting open-source AI agent. Then Anthropic banned users for using it. OpenAI decided to partner instead.
If your primary defensibility is a large, complex codebase, you are increasingly vulnerable. Certain moats remain durable because they cannot be fabricated from prompts and compute.
Vibe Maxing: where builders orchestrate entire fleets of AI agents running in parallel, debugging each other, shipping features while you sleep.
From zero AI to full agent orchestration — a framework for understanding where you are on the AI-assisted coding spectrum.