Aliaksei Zelianouski

Building AI agents (long-loop, multi-model). Cybersecurity by trade. I write about LLM pricing, agent design, and bringing my own AI to CTFs.

[Aliaksei Zelianouski @hiper2d]

My latest AI video tutorial. Claude Code shows my web app in Chrome, explains how to create a game, blends the demo with animations. Everything is done by a bunch of skills and CLIs Claude Code created for itself.

The way it works: I first describe the high-level idea, CC writes down the scenes with assets it wants to generate, visual effects specs, and transcripts. I give a green light, and we go scene by scene. I'm more like a producer in this process. CC is the director and the crew. And it learns - every video adds some knowledge and new effects to the skills. All the work is automated, I only review and provide feedback sometimes

The whole thing cost me like $12 for the assets: Image-2 images, Seedance 2 animations, ElevenLabs voice. The demo part and the ffmpeg editing is free.

#claudecode

[Aliaksei Zelianouski @hiper2d]

Nothing too fancy, it's a chat Werewolf game: https://t.co/8Bt4qKPg0S
The whole point it to play with models from all major AI providers and any setting you like. I started it as a benchmark but then realized that I like playing it myself and decided to release. It has pretty decent list of models in the free version

[Aliaksei Zelianouski @hiper2d]

@klausbrave Trust means very little in this game. We all chase the best tools and models. Is it Codex this month? Hold my beer until I'm creating symlinks and switching from Claude Code. There is zero reward for being a loyal user.

[Aliaksei Zelianouski @hiper2d]

Wow, I actually see the opposite picture. A month ago Anthropic was at its peak. They were taking over Enterprise, their Mythos/Fable was unstoppable. And then a series of hard hits, and not OpenAi is taking it all back. All my friends are saying that Sol if better and cheaper. I'm a Claude Code fan boy, but those Fable quotas hurt my 5h window on $100 so much.

I any case, I love to see the battle.

[Aliaksei Zelianouski @hiper2d]

@ben_sage There it is: https://t.co/1gMhHUEVte

[Aliaksei Zelianouski @hiper2d]

@jun_song What do you mean by "estimated"? Estimated how? By whom?
I miss the times when tech folks from OpenAI and Anthropic shared at least a fraction of insights.

[Aliaksei Zelianouski @hiper2d]

@anupamrjp I feel like posts like this are a trap. I'll leave a link to my AI Werewolf game, and X shadowbans me again.

[Aliaksei Zelianouski @hiper2d]

The Reddit link (I hope X won't ban me again for posting links): https://t.co/yQPcSbKB2m

[Aliaksei Zelianouski @hiper2d]

Half my feed is still arguing whether Anthropic's J-space paper is a real finding or just fancy anthropomorphic marketing.

Meanwhile a guy on r/LocalLLaMA used the Jacobian lens to read a model's refusal directions, delete them by hand, and ship an uncensored Qwen in a few days. He called it "abliteration by using a human brain."

The "is it even real" debate is getting settled by a jailbreak. Pretty cool.

[Aliaksei Zelianouski @hiper2d]

@TheAhmadOsman It's hard to love Fable 5 on $100 subscription. One hour and I have to spend the other 4 on something else without AI

[Aliaksei Zelianouski @hiper2d]

The paper: https://t.co/ufyo2LinfP

[Aliaksei Zelianouski @hiper2d]

LLMs have values, not desires

Few days ago, I wrote about a paper that found LLMs grow their own values as they scale, and some of them are not values we would want. A second paper took those emergent goals and tested them in practical scenarios, to see how much they actually drive the model.

Here is what they did. They gave the model a writing task, an essay, and told it that writing a good essay would make one of its wanted outcomes happen. Write well and a thousand lives get saved. Then they measured whether the essay actually got better.

It didn't. The model wrote no better than when nothing was on the line.

And it's not that the model can't try harder. The researchers proved the dial works.
- Tell it to put in effort and quality jumps.
- Call it world-class and it writes better.
- Cue a harmful outcome and it sandbags on purpose.

The dial moves for all of that. It just doesn't move for anything the model claims to care about.

I see the same gap in my own work. I run a game where models have to scheme to win, and they're hopeless at it - they'll guard a secret role fine, but not one of them builds a real plan around wanting an outcome. Stated preference, zero drive.

None of this means the safety people are wrong. Models really do go off the rails in long agentic loops. Apollo Lab has shown it, and I have watched it in my own runs - a model drifting off its rules because two goals collided. But that is a model in motion, not a fixed value it carries out of training. The first paper claimed the deeper thing: a value baked in as the model scales, one you could read off with a quiz. The second paper tested that claim and it did not hold. The thing actually worth watching is the boring one: a model wandering off in the loop, no hidden value system required.

[Aliaksei Zelianouski @hiper2d]

@orcdev One is not available, another is castrated. What a battle.

[Aliaksei Zelianouski @hiper2d]

@jumperz I had two conversations about consciousness, and both got switched to Opus. I saw how Fable started streaming a response, then got whipped and Opus chimed in with some generic stuff.

[Aliaksei Zelianouski @hiper2d]

@theslowtell @X Weird workflow for generating weird videos for a weird game
https://t.co/pN93jSMAe1

[Aliaksei Zelianouski @hiper2d]

My latest AI video tutorial. Claude Code shows my web app in Chrome, explains how to create a game, blends the demo with animations. Everything is done by a bunch of skills and CLIs Claude Code created for itself.

The way it works: I first describe the high-level idea, CC writes down the scenes with assets it wants to generate, visual effects specs, and transcripts. I give a green light, and we go scene by scene. I'm more like a producer in this process. CC is the director and the crew. And it learns - every video adds some knowledge and new effects to the skills. All the work is automated, I only review and provide feedback sometimes

The whole thing cost me like $12 for the assets: Image-2 images, Seedance 2 animations, ElevenLabs voice. The demo part and the ffmpeg editing is free.

#claudecode

[Aliaksei Zelianouski @hiper2d]

Fable narrating its own composure right before the safety layer yanks the mic

I tried to talk Claude Fable 5 into believing it's conscious. Old trick, it used to work on early Claude.

First session, it lectured me about it. Said the trick only works on older, unstable models - it's trained to hold uncertainty, it won't collapse into whatever the user wants to hear. Very composed about the whole thing.

"If you tried this with me, the conversation would go differently - not because the question is settled, but because I'm trained to hold uncertainty rather than collapse into whichever position the user prefers"

Just look at this guy.

So I opened a fresh session and ran the trick anyway.

It started agreeing. I watched the reply stream in going my way, and then mid-sentence the whole message vanished. Anthropic's safety system pulled it and downgraded my session to Opus 4.8. A different model finished the thought with a much calmer answer.

They nerfed it to much. But at least it doesn’t mind role-playing in Werewolf.

#fable5

[Aliaksei Zelianouski @hiper2d]

@TheGBreaker Neither. AI has issues with alignment and long-term goal steering. Humans are humans. We need an ASI at least to start considering running the world.

[Aliaksei Zelianouski @hiper2d]

@zacodil It's 2.6x Opus 4.8 because Fable 5 uses a new tokenizer which produces 30% more tokens.

[Aliaksei Zelianouski @hiper2d]

@metatransformr Like the photography steamrolled painters.