Javier Altez

DEV • WEB • XR • AI ⚡

Building for humans & learning for machines.

[Javier Altez @j_altez]

Automating ourselves out.

[Javier Altez @j_altez]

So true in so many levels

[Bad Pote @bad_pote]

La vérité, c’est comme ça maintenant.

[Sigil Wen @0xSigil]

Meet Husky: a Model-Specific Inference (MSI) engine up to 4.5× faster than Apple's MLX

Woof, Underdog's Pareto frontier model, now runs up to 730 tokens/sec on a MacBook

Finally local models are as fast & capable. Try it now in https://t.co/hAWKvlClUC - your personal private AI

[Ant Ling @AntLingAGI]

We’re open-sourcing the Ming-Image-0.1-Design family:
• Ming-Image-0.1-Design, 6B
• Ming-Image-0.1-Design-Layer, 6B
• Two open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill

Ming-Image-0.1-Design ranks #1 among open-weight models on Artificial Analysis’s UI/UX Design leaderboard. 🧵

[🚨 AI News | TestingCatalog @testingcatalog]

ALIBABA 🔥: Qwen 4 Max, Qwen 4 Flash, Qwen 4 Plus and Qwen 4 27B models have been announced!

The next major upgrade is expected to be a 5-10T parameters model.

Qwen 4 27B is always the most exciting one to test. Alibaba is clearly on a full shipment mode this year.

[ComfyUI @ComfyUI]

Qwen-Image-2.1 is now supported in ComfyUI!

Open weights. One 7B checkpoint that generates and edits.

→ Image generation at native 2K
→ Instruction editing from up to 10 reference images in a single pass
→ RGBA output, alpha included

[Qwen @Alibaba_Qwen]

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: https://t.co/tVntKOi7jy
- GitHub: https://t.co/cRj66wCrWr
- Model Scope: https://t.co/64d7Ix6YFR
- Hugging Face: https://t.co/njHSBXUbVS

[PrismML @PrismML]

Today, we’re announcing Ternary Bonsai 2 27B.

Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.

Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.

Ternary Bonsai 2 27B is available today under Apache 2.0.

[Javier Altez @j_altez]

@_can1357 Yeah, saw it earlier. It's always awkward to read those.

[Javier Altez @j_altez]

@thdxr Is this your Navier-Stokes? Who cares about math if we have AlienScript?

[Diogo Almeida @CompleteSkeptic]

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?

I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev

• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions

AFAICT the shortest path to AI-based economic revolution

[Quinn Slack @sqs]

Amp is now free to use when you bring your own compute and model subscriptions/keys.

No more limits or fees for BYOK.

https://t.co/8l1jMunBPF

[kepano @kepano]

This is Knap. It's a new language I created that turns data into Markdown. The syntax should feel familiar and comes with wonderfully pleasant features to modify and format plain text.

Knap is open source. Over a million people already use Knap directly or indirectly because it started as the templating language I made for Obsidian Web Clipper. Now any tool can use it.

You can add Knap to your app or use it via CLI. Create a batch of Markdown files from JSON or CSV, or pipe Defuddle directly into Knap to generate Markdown from HTML/URLs.

The Knap site is color-coded to help beginners understand the relationship between variables (blue), filters (orange), and logic (green). I've tried to document it as comprehensively as I can.

Try the Knap Playground so you can see how fun the syntax is to use!

Knap is pronounced /knæp/ (with a hard k). It's named after knapping (with a silent k): the process of shaping stones to form arrowheads, scrapers, and other tools.

Enjoy!

[Javier Altez @j_altez]

Now make it play Factorio.

[Alex Wormuth @wormuth]

the fly brain can play doom

[Javier Altez @j_altez]

@wormuth The fly plays Doom, we play God.

[Desert Ant Labs @desertantlabs]

Today we're launching Desert Ant Labs: a European frontier AI lab building on-device intelligence.

18 models across audio, vision, and text. SDKs for Swift, Kotlin, and JavaScript.

No tokens. No logins. Nothing leaves the device.

https://t.co/qDZfv4G6ji

[Javier Altez @j_altez]

Ok. This is wow.

[OpenAI @OpenAI]

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.

The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.

The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

[Javier Altez @j_altez]

@emollick I love this new digital necromancy trend.

[Javier Altez @j_altez]

@dhh @satyanadella WSLOmarchy?

[Peter Gostev @petergostev]

Astra - recreate the original Craig Federighi in Blender.

[Javier Altez @j_altez]

@forgebitz "Teach me gardening and woodworking". Maybe we can use AI to escape AI, to some extent...