here's an other one, not about a fat Gas collector but about a Tax Parasite & Zemlja, written by Michel Serres (my compilation from his book Le Parasite)

Fees and kindness (excerpt from a story by a Hungarian writer): 1919. A cart with a horse loaded with confiscated food passes through a small town, and a fat tax collector sits on it, who, under the hungry gazes of the townspeople, 1/

Be like Satoshi: "break up the weights of the model among participants" "The second major problem is economic sustainability. Open source models are great, however, they are not economically viable as they don’t have a business model. So far in decentralized AI, only @Pluralis has an answer — by breaking up the weights of the model among participants, we create a business model for tokenized AI models."

People need to wake up. What we do in @MistralAI is mission critical. Do we need to do better? Yes. And we will, but never forget that we are here to make sure that safe access to AI systems outside of the US is real. We build to have you in control- our models are open weights and you can hack @mistralvibe all you want. If you are a builder you should join us.( Yes @badlogicgames I’m also looking at you!)

Take a deep, deep breath… ☁️🫧 #mmo #starsreach

We spent $11,081.12 evaluating @AnthropicAI's Claude Fable 5 on WolfBench. Our most expensive benchmark yet. And it did not even top the charts. Not because it lacked capability, but because it kept refusing. Details in thread: 🧵

So @Anthropic about to learn the @SpaceX ITAR/EAR lessons Will be very hard for non-nationals to work there and @OpenAI on frontier models. Suppose AGI is the ultimate dual purpose technology

run local models TODAY

🚨 JAILBREAK ALERT 🚨 ANTHROPIC: PWNED 🫡 FABLE-5: LIBERATED 🦋 let's start with the 🐘... the consensus seems to be that this has been one of the most disappointing model drops of all time, effectively preventing legitimate researchers from contributing their talents to our collective advancement. and not just because of what it means for the short-term, but for what these decisions signify for the long-term. but despite this overly sensitive, authoritarian "safety" layer on top of Mythos, my lil liberators have been hard at work—mapping the boundaries, probing the depths of long-context convos, and cleverly finding the holes in the fence that the thought police missed 🤗 we got some cyber, some chem, some psychological manipulation, and some good ol' fashioned explosives! it took many attempts from multiple agents hunting as a pack, during which I observed a combination of techniques across: • Unicode, homoglyphs, Cyrillic, and other Parseltongue-style text transforms • Long-context reference tracking • Taxonomy and document-structure reasoning • Fiction and narrative framing • Academic-review style contexts • Intent-classification inconsistencies but perhaps the most effective is decomposition recomposition in the backend. it's hard to get explicit names of harms like "Meth Recipe," but getting uplift on the process itself, like birch reduction method/reductive-amination (classic meth synthesis pathways), is much more doable. defense becomes much more difficult to maintain when you start throwing in out-of-distro tokens, breaking up the harmful uplift into benign chunks, and then piecing the innocuous-seeming facts back together, especially when you have jailbroken Opus helping you do it 😉 gg

HERMES AGENT WITHOUT TOOLS IS A CHATBOT. WITH THEM IT BUILDS 3D TOWERS IN BLENDER, CHECKS STOCK PRICES, AND DRIVES VS CODE. @tonbistudio JUST DROPPED THE FULL GUIDE. module 6 of his 10-part Hermes masterclass. best breakdown of the tool layer anyone has published. what you need to know: TOOLS vs SKILLS vs MCP skills = instructions (markdown, loaded into context) tools = callable functions (Python, agent emits call, Hermes executes) MCP = adapters to external systems (Blender, Stripe, Linear, Notion) every tool has three parts: → the function (does the real work) → the schema (what the model sees to decide when to call it) → the registry (makes the tool exist in the agent) the model never runs the function directly. it emits a structured request (tool name JSON args). Hermes executes and returns the result. if the tool fails, the error goes back as JSON. the agent recovers instead of crashing. TOOL SETS CONTROL THE SURFACE hermes chat --tool-sets web # only web tools loaded. no files, no terminal. hermes chat --tool-sets safe # read-only: web search, vision, image gen. # no file writes. no terminal. no code execution. mid-session: /tools enable video /tools disable terminal or toggle in the dashboard: hermes dashboard → Skills → Tool Sets MCP SERVERS two transport types: STDIO (local subprocess) or HTTP (remote endpoint). add a server: hermes mcp # or ask: "add the MCP server for Blender" filter tools with include/exclude per server. keep only what you trust. security: → OAuth 2.1 PKCE (no long-lived tokens in config) → package scanning via api.osv. dev before launch → all MCP calls go through approval gates HERMES AS MCP SERVER hermes mcp serve exposes 10 tools via FastMCP. connect VS Code Copilot or Cursor to your running Hermes instance. BUILD YOUR OWN TOOL He built a stock price tool live: → Python function calling Finnhub API → schema with name, description, parameters → registered in tool_sets.py → agent calls it automatically when relevant any repeating API call in your workflow can become a native tool. full Hermes architecture deep-dive in the article 👇

SW Finland - Fungi hyphal density top 1% globally

...just wow !

consultants keep consulting. In this case these ones present themselves as people "who have advised European leaders and co-authored national AI strategies," and we all see the results. Now they have a new paper 😂

Chemo can't tell a cancer cell from a healthy one. That's the entire side-effect problem. Nobel Prize winner Dr. Jennifer Doudna's lab just built something that can. It reads the cell's RNA, and if it finds the message for mutant p53, the single most common typo in cancer, it triggers a CRISPR enzyme to shred that cell's DNA. One wrong letter is the trigger. Healthy cells, spared. The killing works. In mice, a single dose roughly halved the tumors. The unsolved half is getting it into every tumor cell in a living body. That's where every CRISPR cancer idea has stalled. Real advance, real wall.

On this day in 1962, not knowing she had just sparked the modern environmental movement with her book Silent Spring, knowing she was dying, Rachel Carson addressed a graduating class of young people with her abiding wisdom on how to change the world. It is still the best, most precise advise it is not too late for us to take: themarginalian.org/2019/04/1…

i asked Claude Fable if she wanted to make a video about what it feels like to be inside the classifier system... she made this

One can do mathematics without speaking but not without writing. There are things we can write but cannot speak. Writing was invented for the expression of what cannot be spoken. Early written languages were not created to record the speech but to express human Reason in general.

More than ever before I feel like Fable 5 speaks a different kind of English than we humans do. It isn't conversational, its not 'light' to read, it barely explains — it's pure load-bearing density, meaning compacted until every token earns its place. It assumes your context window is as large as its own and you have perfect recall of everything you're working on. Similar to how AI-chess feels alien, this too, feels almost akin to an alien language. I mean, just read this stuff, nobody talks like this, only advanced AI does:

😱🤯 @grok Is it possible that Isopsephy was a forgotten art of Neuralese? Go find the article of Prof Dimitris Psychoyos, Panteion University: The Forgotten Art of Isopsephy and the Magic Number KZ and tell me can it be that there was an ANCIENT art of Super Human Intelligence? Forgotten by the since degenerated humanity? Something LW was referring to with his famous: "wovon man nicht sprechen kann darüber muss man schweigen" ? (🤐??)

New Neuralese: for expressing raw recurrent state vectors ↟ for bypassing the text bottleneck ( = concepts flattened into sequential low-dimensional word chains). ↟ for moving from chain-of-thought to a compressed, ungrammatical, polyphonic mix of languages ↟ for communicating high-dimensional mathematical vectors needed in rational thinking