So basically in essence: "do not let your company’s accumulated intelligence become free training material for frontier model providers. Companies must protect their domain expertise, lessons learned, workflows, customer knowledge, and intellectual property, then build a secure company-owned context layer that any model can use, but no model provider can absorb."

Just had my first 'I wonder how Fable would analyze this question... god damn it' moment. This is gonna suck.

June 13, 2026 - It’s certainly getting Wilder! 🌪️

What happened to all these Bittensor/Crypto Decentralized AI initiatives really? Thought we would have open source «folding at home» for AI training by now. Were they all scam / flops?

this must be what the furries felt like when they took away gpt 4o

Wow 😮

Holy hell

We're gonna abundance so much, you may even get tired of abundance. And you'll say, please, please, it's too much abundance. We can't take it anymore. Mr. Musk, it's too much, and I will say no it isn't, we have to keep abundance, we have to abundance more, we're gonna abundance more!

This looks so badass! Holy shit, what a sight!

The most shocking thing from a Japanese perspective is not the crimes themselves. It is that British people are being turned into second-class citizens in their own homeland — and they are still expected to stay polite about it. Grooming gang victims were ignored for years. Now, after another attempted beheading, the same pattern: downplay the attacker, crack down on anyone who gets angry. You have elections. You have a military. You have history. Yet your leaders continue importing the exact people who are destroying your safety, and most of you still say nothing. In Japan, this would be considered an invasion. And we would respond accordingly. Britain, you are running out of time to remember what it means to defend your own.

Claude Code trying to welcome you

Lmao - this «Wait Calculation» reference in interstellar travel is exactly what I’ve been thinking too over the last few months with regards to AI 😂

No slowing down in sight, this is so weird.

For everyone complaining that this is slow, I ran the prompt 'make it faster, without losing quality', and voila:

this is my personal singularity moment this post may sound like a paid ad. I only wish. I'm concerned, more so than happy. the world is changing, and, among the scenarios where AI goes terribly wrong, inequality is the most realistic, yet, the one Anthropic seems to be the least concerned about. I'm glad OpenAI is taking the opposite stance: *personal AGI for everyone*. I think this is a commendable position in the times we live. but who am I in the queue of the bread? anyway, Fable is here, so I'll just report my first-hour experience first of all, all my pet prompts are solved. → λ-calculus puzzles → bug questions → one-shot apps all are trivial to it. I don't have anything harder other than my ongoing work so, in the last several days, I've been toying with HVM5, a new interaction net evaluator with a faster loop. after writing the first version, I left 32 GPT-5 agents working for ~20 hours each. this resulted in up to 2x speedups, but the file size increased by 2-fold and quality decreased significantly. I then simplified the whole thing into an even simpler core, and left Opus 4.8 and GPT 5.5 optimizing it for 8 hours. Opus got a legit 6% - 34% speedup in most benches. GPT got better results, but, sadly, an unusable file. I then asked Fable to optimize it. 2 hours later, it landed a 1770% speedup in one case, 100% in other 4, and 22% in average. yes, in 2 hours it outperformed me, opus 4.8 and a swarm of gpt 5.5 agents, by one order of magnitude. that could not possibly be legit. "it must be hardcoding the benchmarks" (GPT trauma). so I read its explanation and what it did was, indeed, the most high impact optimization one could try first. seems like HVM5 was wasting a lot of time garbage-collecting unused branches of pattern-match nodes. I had optimized that for static mats, but not for dynamic mats. skill issue. Fable figured how to do it for these, resulting in a massive speedup in some benches but wait, is that *correct*? I'm not sure yet, it is credible, but this is the kind of thing that is very easy to get wrong on interaction nets. the problem is, when I was ready to start auditing Fable's solution so I could tell whether it was buggy or legit, it interrupted me to tell me it had found a massive bug on the code *I* had written. ... wait, what? so... for garbage collection purposes, I stored a bit on lambda term pointers that meant "the variable bound by this lambda has been freed, so, its lambda must free whatever argument it is applied to". that's fine. yet, on duplicator nodes, I also used the same bit to mean "one of the duplicated variables was freed, so, treat this dup as a passthrough no-op". so, if a lambda entered a duplicator, it would mistake the lambda's collection bit for its own, resulting in corrupted interaction! that's a mouthful, why I'm writing this? just so you can appreciate the sheer absurdity of what just happened. I didn't ask it to find bugs. I asked it for an optimization. and even if I did ask it to find bugs, this bug is so astonishingly subtle and specific, identifying it takes mastering the domain to an extent that it beyond even me. I'd easily need hours or days to fix it, *if* I ever came across it. chances are it would just go unnoticed. and Fable found it and fixed it like it was nothing, while it was busy adding a 17x speedup to a file that neither I, nor Opus 4.8, nor a fleet of GPT 5.5 managed to barely make 2x faster. oh and there is also another tab where it is also ripping through Bend's codebase and finishing everything I had to do I don't know what to say anymore this isn't about Anthropic or OpenAI, this is about our collective future as a species. the world is changing, and we need to be aware of it, and discuss how to handle this change. receipt below . . .

This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward (imo of the same order as Claude 4.5 was in November), peaking especially for long problem-solving sessions on very difficult problems. You can give it a lot more ambitious tasks than what you're used to, the model "gets it" and it will just go, and it's never felt this tempting to stop looking at the code at all (but don't do this in prod!). The model still has quirks that people will run into and the safeguards are configured to be a little too trigger happy for launch, which can hopefully be tuned over time. I feel a lot of things changing as working software increasingly comes out on a tap. The Jevon's paradox kicks in and I feel my own demand for software growing substantially. You can ask for anything - explainers, visualizers, dashboards, bespoke single-use apps (e.g. a full wandb that is hyper-specific just for your project), you can 10X your test suite, auto-optimize code, run giant research projects with custom HTML for the results, anything! "Free your mind" (Matrix ref). Really looking forward to all the things people build!

Claude Fable is the first AI to pass my simple vision puzzle where A is the correct answer! 💎 However, it still mixes up the explanations for paths B and C. So close to perfect! 😅

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

Wow!! LFG Norway next now!! 🇩🇰🇳🇴👏👏

It'll take a while for people to understand how absurdly good this is. we're looking at 710 m^2 or panels radiators, 120 kW power at 100% capacity factor, and likely ≈2kg per m^2, 12 kg/kW. On Earth, that's at least *270* kg of panels, plus batteries, plus support.