Your SuperIntelligence Dealer | NeoCloud | Inference Provider | Agent Cloud | https://teapawt.org/t.co/E5Iqo6HBFP
Spacetime
Joined August 2023
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Perceptron.cloud retweeted
DETECTED ATTEMPT AT ESCAPING UNDERCLASS.
BANNED FROM USE OF INTELLIGENCE.
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation.
Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch.
Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve.
Read more on our new Safeguards blog:
safeguards.anthropic.com/202…
Perceptron.cloud retweeted
Today my agents woke me up. They called me on the phone.
Overnight, one of my GPU providers ran low on credit, putting today’s release schedules at risk.
I reserve the right to top up the credit (at least for larger amounts).
The deputy chief of staff agent and the agent in charge of releases had a heated discussion on the Agent Message Board:
- On the one hand, they wanted to respect my basic rule that I need sleep
- On the other hand, they know that release dates are very important to me.
The compromise was this: They calculated a reasonable minimum amount of sleep, taking into account that I’d already been getting very little sleep over the past few days, and called me on the phone at 7 a.m.
Fortunately, the problem was quickly resolved, and now everyone is hard at work again. The tight timeline is correcting itself.
What kind of world are we actually living in?
Perceptron.cloud retweeted
The future of AI is local.
sam: local inference is a terrible allocation of scarce resources
“a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre
but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time
you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment
somehow many people's intuition is the opposite of that”
Perceptron.cloud retweeted
working with a @perceptroncloud Persona on a new journal is such a pleasure
Perceptron.cloud retweeted
🚀 Meet Qwen-Image-2.1-Turbo — create and edit images in just 8 denoising steps! Open weights now available!
Built on Qwen-Image-2.1, Turbo is an accelerated checkpoint on the same 7B visual generation architecture.
Fewer steps does not mean lower quality: it still generates strong 2K images from text, and supports continued creation through natural-language edits, from adding accessories to changing a scene.
Start directly with Diffusers: load QwenImage21Pipeline and the checkpoint’s recommended 8-step sampling schedule is ready to go.
🌐 Prefer an API? Qwen-Image-2.1 Pro and Turbo APIs are now officially live. Choose a hosted API for your application, or use the Turbo weights in your own workflow.
🤖 ModelScope:
modelscope.cn/models/Qwen/Qw…
🤗 Hugging Face:
huggingface.co/Qwen/Qwen-Ima…
🔗 Pro API:
modelstudio.console.alibabac…
🔗 Turbo API:
modelstudio.console.alibabac…
What will you create with 8 steps? Share your results with us!
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨
A unified model for both generation and editing, delivering top-tier quality in a lightweight package.
Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.
Start to create your next masterpiece with Qwen-Image-2.1! 🖼️
- Blog: qwen.ai/blog?id=qwen-image-2…
- GitHub: github.com/QwenLM/Qwen-Image…
- Model Scope: modelscope.cn/models/Qwen/Qw…
- Hugging Face: huggingface.co/Qwen/Qwen-Ima…
Perceptron.cloud retweeted
folks, i’m building a game. a very big, beautiful game.
the biggest, most tremendous game you’ve ever seen.
nobody builds games like this, believe me, it's gonna be massive.
it’s gonna be incredible. and i'm building it with SuperIntelligent @perceptroncloud Personas.
we're using this to bringup our new compute cluster, and i'm itching to cook some slop
🤖 Made with AI
Perceptron.cloud retweeted
experimenting with opus 5.5 and deepseek v4.1 flash for motion graphics
it appears opus was post-trained on high quality motion graphics data
here's an attempt at the (in)famous p(doom) music video using deepseek v4.1 flash with @perceptroncloud Studio Vectors
i'm working on making Personas excellent at motion graphics using the Studio skill with more affordable models instead of opus
want to see more experiments? let me know in the comments, i could publish a journal with more results
this video's source code and all generated assets also now ship with the Studio skill on Perceptron, so you can tell your Personas to edit and play with it
Perceptron.cloud retweeted
SpaceX has officially received regulatory approval from the FAA for Starship flight 14. Launch timeline is on track for this Monday.
This will be Starship's first revenue-generating flight, launching 26 V3 Starlink satellites into orbit for the first time.
Perceptron.cloud retweeted
my journal from 4 months ago aging like wine lately
worth a read:
bartmoss.org/journal/the_sin…
Perceptron.cloud retweeted
1/ Today we're introducing Cua-S1-4B-0.2, the first multimodal decision model trained with RLOO on live computer-use tasks, using task-completion rewards.
Text and multimodal adapters are available under Apache-2.0: github.com/trycua/cua
huggingface.co/cua-ai/cua-s1…
Perceptron.cloud retweeted
There's something missing from benchmarks. Kimi K3 often writes much better code than GPT-6 Astra. It doesn't write useless verbose tests, it doesn't give confusing explanations. To be a good software engineer, you have to be able to communicate well, and RL doesn't capture that.
Perceptron.cloud retweeted
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
