versatile

[versatile @_versatile8]

@trq212 Many thanks 🙏 🙂

[versatile @_versatile8]

@claudeai @Scobleizer you can immediately see a weaker result in two categories, compared to 4.6. Why?

[versatile @_versatile8]

@ExpensiveSwift @Josh43229180 @bcherny Wow pretty nice 👍 would be nice to use it

[versatile @_versatile8]

@akoratana @matei_zaharia @pbailis @rauchg @zoink @drewhouston 100x

[Animesh Koratana @akoratana]

Introducing: PlayerZero

The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot.

We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more

PlayerZero frees up 30% of your engineering bandwidth by:
1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify.
2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find.

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Here's why this matters:

No one in your org has a complete picture of how your production software actually behaves.

Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand.

PlayerZero connects all of it into a single context graph -

→ The Slack thread where your lead said "we went with X because Y fell apart in prod last time"
→ The PR review where an engineer explained the tradeoff
→ The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets

So you can trace any problem to its root cause across every silo.

And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows.

So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly.

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Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth.

------

Our guarantee:

If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice.

Book a demo - https://t.co/dH1dulIwSS

[versatile @_versatile8]

@bcherny It’s about time 🙂💪🏻

[versatile @_versatile8]

@noahzweben Awesome! Thanks 🙏

[Rafał Brzoska @RBrzoska]

Polski LLM w światowej topce: @bielikllm v3 zajął 4. miejsce na świecie w wielojęzycznych zadaniach na EuroEval i wyprzedził https://t.co/WKZQCP4Xpn. Llamę od Zuckerberga.

A do tego Bielik jest za darmo dla wszystkich w apce InPost Mobile (banner „Nakarm Bielika”). @SebKondracki

https://t.co/5xCfCfsF5c

[Sebastian @SebKondracki]

Bielik v3 11B jest dostępny na HF! Polski, wielojęzyczny model AI dla Europy 🇪🇺:

30+ języków europejskich
topowe wyniki wiedzy regionalnej
silny RAG i praca na źródłach
projektowany zgodnie z AI Act od pierwszego dnia

Mega praca: @bielikllm, @ChrisOciepa , @KinasRemek, @kwrobel_eth, Adrian, Łukasz i @Cyfronet

https://t.co/jDnY2mTvFh

[versatile @_versatile8]

@benln Me as well 😎😈

[el.cine @EHuanglu]

oh my… this shouldn’t be possible

Gemini 3 can generate 3D interactive scenes with three.js… and you can literally move particles with your hands

no coding skills needed at all, it's all free

tutorial + prompts in the comments

[Flavio Adamo @flavioAd]

we’re so cooked guys

[Remek Kinas @KinasRemek]

Bielik AI 11B v3.0 - nasz krok ku Europie. Bielik obsługuje 30+ języków europejskich. Topowe wyniki w 17 krajach. Lider w 8 językach testów wiedzy regionalnej. A to przypominam nadal modelik 11B.

[Anthropic @AnthropicAI]

Anthropic is acquiring @bunjavascript to further accelerate Claude Code’s growth.

We're delighted that Bun—which has dramatically improved the JavaScript and TypeScript developer experience—is joining us to make Claude Code even better.

Read more: https://t.co/aQd3XRdUfR

[Pascal Bornet @pascal_bornet]

The smartphone just declared war on the camera industry

Xiaomi just dropped a wild idea: a smartphone with a detachable pro-grade camera lens.

A phone that snaps on a real lens with magnets. Yes, magnets.

It’s a clever move at a strange moment in history.

Camera sales keep falling. Smartphones keep rising.

And the real arms race isn’t glass anymore — it’s AI-powered image processing.

As an AI guy and a photographer, here’s my take:

Hardware won’t save the camera industry.

Software will.

The future of photography is no longer in the lens… it’s in the algorithm.

Phones will keep getting smarter.

Cameras will stay for the purists.

But detachable lenses?

Feels like a bridge between two worlds that are already drifting apart.

But maybe I’m wrong.

Maybe this hybrid future has a place.

What do you think — genius innovation or a beautiful dead end?

#AI #Tech #Photography #Innovation #Smartphones #FutureOfTech

[Sam Altman @sama]

ChatGPT launched on wednesday. today it crossed 1 million users!

[Tesla @Tesla]

You think you've seen it all, FSD actually has

It's trained on what amounts to over 100 years of real-world driving scenarios from our fleet of >6M vehicles

A lifetime of driving scenarios in 10 minutes

[Pietro Schirano @skirano]

Kimi-k2-thinking is incredible.

So I built an agent to test it out, Kimi-writer.

It can generate a full novel from one prompt, running up to 300 tool requests per session.

Here it is creating an entire book, a collection of 15 short sci-fi stories.

[elvis @omarsar0]

Kimi K2 Thinking is a bigger deal than I thought!

I just ran a quick eval on a deep agent I built for customer support.

It's on par with GPT-5; no other LLM has reached this level of agentic, orchestration, and reasoning capabilities.

Huge for agentic and reasoning tasks.

[Derya Unutmaz, MD @DeryaTR_]

I just tried Kimi K2 Thinking and the computer agent. Holy moly! This is another DeepSeek moment!