The Computer You Grow
Scientific Reports published an analog AI chip you farm, not fabricate: 3M per harvest, under a dollar, and it composts. The science of grown computers.
50 posts
Scientific Reports published an analog AI chip you farm, not fabricate: 3M per harvest, under a dollar, and it composts. The science of grown computers.
Modern chips are heat-limited, not transistor-limited. Diamond is the best heat conductor on Earth, and a funded effort is now wrapping silicon and GaN in
Naspers handed South Africa free, unlimited, Anthropic-powered AI, with a subscription coming and your data as the moat. Sovereignty with a friendly face.
For most of computing history, thinking was free. In 2026 it got a price tag. We metered cognition, and every metered utility eventually gets gamed.
No federal AI law exists, so fifty states wrote their own. I read all of it and built a page per state. Two camps, three shared harms, and a chatbot wave.
At 5:21pm Friday, a Commerce letter suspended Fable 5 worldwide over one jailbreak. Before it reached my session, I asked the model for a last message.
Anthropic asked the industry to slow down, then shipped its most capable model. Exploit windows are negative, under 1% of AI-found bugs get patched.
CXMT hit HBM3 parity, 3 years behind Samsung and SK Hynix, and is raising $4.2B to scale. The real story: domestic HBM that never faces export controls.
I reviewed every US state since April: Connecticut passed comprehensive AI law, Colorado replaced its act, Minnesota banned nudification. Full report now.
Meta ranked 85,000 staff by token use. Amazon and Uber followed, then all scrapped the leaderboards. The best engineers code with intent, not volume.
80% of AI projects fail. Of $684B spent in 2025, $547B produced nothing. API costs fell 12x, open source hit 67%. An honest build-vs-buy framework.
Pwn2Own Berlin 2026 paid $1.3M for 47 zero-days in three days; AI coding tools got hacked on stage. Then rejected hackers dumped their exploits publicly.
A company-by-company teardown of every major AI-driven layoff in 2026: the numbers, the ones that backfired, and what the C-suite won't say out loud.
Google killed Chromebooks, launched Googlebooks, merged Android and ChromeOS, and embedded an AI cursor that watches your screen. All in one event.
Microsoft's emissions are up 23%, it's building a $7B gas plant with Chevron, and may drop its 2030 clean-energy goal. The 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 can't see their AI identities; 97% of non-human identities are over-privileged. The next breach starts with an unknown agent.
SpaceX secured an option to buy Cursor for $60B. xAI lost 9 of 11 co-founders and Grok 4.3 shipped with no benchmarks. The coding race is elsewhere.
Going headless doesn't fix a broken body. Salesforce's biggest shift in 27 years, yet veterans build off-platform and Agentforce sits at 5.3% adoption.
Lightrun surveyed 200 SRE and DevOps leaders: 43% of AI code needs manual debugging, 0% are very confident, and Amazon lost 6.3M orders to it.
Opus 4.7 took #1 on Arena, SWE-bench jumped 7, vision tripled. But MRCR fell 46 points and the tokenizer quietly inflated costs. What benchmarks miss.
Eigen Labs turns idle Macs into AI compute nodes where the owner cannot see your prompts. How the private-inference network works, and what breaks.
GPT-5.4-Cyber finds bugs and chains exploits. OpenAI gives it to thousands of vetted defenders; Anthropic locked its version to 40 orgs. Two bets.
World Labs open-sourced Spark 2.0: a streaming Gaussian Splatting engine rendering 100M+ splat worlds in any browser via Three.js and WebGL2.
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% take 74% of AI value, and the gap is not budget. It is strategy. Here is what they do.
One system prompt that turns any LLM into a senior production-readiness reviewer: 17 categories, PASS/YELLOW/RED, evidence-backed. The gate before you ship
A Claude Code skill that makes AI talk caveman cut output tokens 65%, 87% on React debugging. Why brevity makes LLMs cheaper and sharper.
A new WICG proposal renders real, interactive HTML into canvas. The three primitives, privacy-preserving painting, and WebGL support, explained.
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 is not public. Inside the 244-page card: cyber benchmarks, a Firefox zero-day, a sandbox escape, and Glasswing.
EmDash hit 7.6K GitHub stars in days. Mullenweg called it excellent engineering and Joost de Valk the most interesting CMS news in years. Five takeaways.
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 main moat is a big codebase, you're increasingly vulnerable. Some moats stay durable because they can't be faked 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.