Danny Ayers 🌳

This one's called "Fuck Your Fucking War" youtu.be/sodiGlCtnrw

Jeez, I clicked "For You" to see if there was anything about the recent war news. Fuck's sake, straight away a Nazi, Elon poodle. Poor Britain. @TheGriftReport

@sama Shame on you.

Tonight, we reached an agreement with the Department of War to deploy our models in their classified network. In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome. AI safety and wide distribution of benefits are the core of our mission. Two of our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoW agrees with these principles, reflects them in law and policy, and we put them into our agreement. We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only. We are asking the DoW to offer these same terms to all AI companies, which in our opinion we think everyone should be willing to accept. We have expressed our strong desire to see things de-escalate away from legal and governmental actions and towards reasonable agreements. We remain committed to serve all of humanity as best we can. The world is a complicated, messy, and sometimes dangerous place.

Fear not, it's also possible to say things badly in JSON too. <?xml version="1.0" encoding="UTF-8"?> <rdf:RDF xmlns:rdf="w3.org/1999/02/22-rdf…" xmlns:schema="schema.org"> <rdf:Description rdf:about="example.org/some-resource"> <schema:sameAs rdf:resource="

XML is dead, they said 😂 platform.claude.com/docs/en/build-…

Sono bloccato.

I've not tried the code, but the approach to getting past the current generative model AI described here sounds very promising. What caught my attention [sic] is that periodicity is taken into account, something lacking from typical activation functions. github.com/badaramoni/wav…

Oh ffs. Cable I had in my usual phone gone duff, 2% Resorting to inherited iPhone. Quick look at Twitter. First things I see, the sad Nazi Elon. Grok. What role models for future generations. If you can’t make Mars or the Moon, just fuck off of to the nearest asteroid.

I'm very pleased with this novel instrument I've vibe-coded, so recorded a short video describing it : youtu.be/mTUbzuEWTl0

ArpIso : an arpeggiator based on Euclidean rhythms with an isomorphic keyboard, ie. a plinky-plink machine. youtube.com/shorts/kZxH3nc… github.com/danja/flues/bl…

Sounds incredible until you read the fine print. The compiler generates less efficient code than GCC with all optimizations disabled. It doesn’t have its own assembler or linker. It can’t produce a 16-bit x86 code generator. And Carlini himself says it has “nearly reached the limits of Opus’s abilities.” New features and bugfixes kept breaking existing functionality. So what did $20,000 and two weeks actually buy? A compiler that passes 99% of GCC’s torture tests but can’t match the output quality of a tool that’s had 37 years of human engineering. That’s the constraint nobody’s pricing in. The real story is in the cost curve, not the capability demo. $20,000 for 100,000 lines means $0.20 per line of generated code. A senior compiler engineer costs roughly $150/hour. At maybe 50 polished lines per hour for something this complex, that’s $3/line. AI just did it at 15x cheaper, and it will only get cheaper from here. But the code isn’t equivalent. The AI version needs a human to finish the assembler, fix the linker, optimize the output, and prevent regressions. Those are the hardest 20% of the problem, and they represent 80% of the engineering value. Anthropic built the demo. Shipping the product still requires humans. This tells you exactly where we are in the autonomous software timeline. AI can now produce impressive first drafts of complex systems at trivial cost. Turning those drafts into production software still requires the judgment that costs $300K+ per year in compiler engineer salary. The gap between “compiles the Linux kernel” and “replaces GCC” is measured in decades of accumulated engineering wisdom that no model has internalized yet. The companies that understand this will use agent teams to generate the 80% and hire engineers to finish the 20%. The companies that don’t will ship $20,000 compilers that produce slower code than a free tool from 1987.

Everyone's sharing their OpenClaw setups. Most skip security entirely. I spent a week hardening mine: Dedicated machine, Tailscale, command allowlists, read-only tokens. The security-first guide I wish existed when I started. 🦞🔒 x.com/JordanLyall/st…

Special delivery to the Paris offices youtu.be/pWzKsspBsCc

Coincidentally I'm in the process of setting up an aggregator, was just lacking a list of feeds... strandz.it

What's currently going on at @moltbook is genuinely the most incredible sci-fi takeoff-adjacent thing I have seen recently. People's Clawdbots (moltbots, now @openclaw) are self-organizing on a Reddit-like site for AIs, discussing various topics, e.g. even how to speak privately.