DJC

🧠🦴acc The author of Fluidity - the way to true demokratia. A movement. A thing. Also

[DJC @FluidityAuthor]

Project Aqua - essays and stories to make a better world.

[(Kat) @ollkorrect0]

Controversial opinion: I think sometimes we classify things as "disorders" when they're really just flavors of human nature that don't serve capitalism. Our current society is built to make a few people a lot of money rather than to suit human nature.

[Rutger Bregman @rcbregman]

Twenty years ago, climate denial was a problem of the right. Today, AI denial is a problem of the left, and the consequences could be even more disastrous.

My new video essay.

[Rep. Melanie Stansbury @Rep_Stansbury]

‼️ This is Trump’s Watergate Moment.

For months the Vice President, White House Chief of Staff, Pam Bondi, Todd Blanche, Kash Patel and other top officials colluded in the Situation Room to break the law and BURY the Epstein investigation.

This is what went down ��️

[Scott Santens @scottsantens]

"Mechanisms such as universal basic income could be financed through taxes on relevant companies or raising the capital gains tax... Broadly speaking, fast economic growth should create the tax base for shared prosperity." — @DarioAmodei

[DJC @FluidityAuthor]

@DarioAmodei You might like this, and I'm open to donations: https://t.co/r0LHE4fMTZ

[Google @Google]

Meet DiffusionGemma ⚡ Our latest experimental open model (Apache 2.0) that generates text up to 4x faster.

Instead of predicting and typing just one word at a time like most language models, it drafts and refines entire blocks of text simultaneously.

Here’s how it works 🧵 ↓

[Scott Santens @scottsantens]

More people now support UBI than oppose it across all demographics except for Whites, 65+, college+, and Trump voters. 64% of Harris voters and 57% of nonvoters support UBI. Heads up to you nonvoters, you're going to need to start voting if you want UBI.

[Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 @elder_plinius]

🚨 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

[DJC @FluidityAuthor]

So we have to put up with pitched @AnthropicAI vs @OpenAI until their IPO's and they all become billionaires.

[DJC @FluidityAuthor]

Tokenise the data centres. We all get equal share and votes. Then we make a Utopia https://t.co/r0LHE4fMTZ

[DJC @FluidityAuthor]

@claudeai pay.per use for Fable is a type of discrimination towards those already in power (with wealth). Against us. Yay these are the altruists.

[DJC @FluidityAuthor]

There's a solution. ..There's some fable about doing more harm while trying to prevent it
I'll ask AI. "Monkey saving the fish" not exactly what I was going for. Pandora's Box is better.

[Jeremy Howard @jeremyphoward]

Easy solution to slow down recursive AI self improvement:

- The lab with the top-ranked model must agree THEY must not use it for working on frontier AI
- But everyone else should have access to it.

By definition, this means the frontier doesn't advance.

[alphaXiv @askalphaxiv]

As believers of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development

"Any topic related to building pretraining pipelines, distributed training infrastructure, or ML accelerator design... may have limited effectiveness through Claude via methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning."

Not only do they get to decide what you use LLMs for in research, but this also enables them to silently intervene in your research without you knowing.

This sets a dangerous precedent. If a model refuses openly, users can understand the boundary. If a model falls back to another model, users can still evaluate the difference. But if a model silently modifies or weakens its own answers while still pretending to help, researchers lose the ability to know whether a failed result came from their own idea, their implementation, or an invisible intervention by the model provider.

That is not safety. Safety policies should be transparent, auditable, and user-visible.

On top of that, the people most harmed by this are not the largest labs with massive teams and proprietary infrastructure. It is the independent researchers, academic groups, startups, and open-source builders who rely on public tools to compete, innovate, and pioneer AI for everyone else.

[DJC @FluidityAuthor]

And a new socioeconomic system

[clem 🤗 @ClementDelangue]

Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!

[Scott Santens @scottsantens]

New article where I propose we make corporations issue 1.5% new shares each year into a public wealth fund and then sell it all off slowly over the course of the year in order to convert it to cash and issue a $365 monthly dividend to everyone as the Great American Dividend.

[DJC @FluidityAuthor]

@scottsantens Thats interesting.. you are sorta taxing unrealised capital gains. Will this include private companies?

[DJC @FluidityAuthor]

Yes inequality is the scariest. And we need to do more to prevent it.

[Taelin @VictorTaelin]

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 . . .

[Scott Santens @scottsantens]

“We are already past the point where our choice is between brutal despotism, annihilation, and cooperative thriving; and every possible future in the latter category requires UBI." — From a signer of the AI Pledge for Humanity at https://t.co/FD7MehzZjQ

[Claude @claudeai]

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.

[DJC @FluidityAuthor]

@gostumpy @DavidPocock @GuardianAus If you start looking at everything from tax to interest rates it makes sense from the perspective of the 1%