What an amazing day! Presented a poster at @PyTorch Conference: how we optimised the RLM paper with pre-fix caching & batched Sub calls with @vllm_project
And a full house for our Pytorch Conference talk on running LLMs using Executorch on Android!
Shivay Lamba retweeted
I’ve left Anthropic after more than a year of working on Claude Code and seeing it scale larger than I ever imagined.
I have really loved working at Ant and believe deeply in the mission, and most of all, the idea of a race to the top.
The idea that if we work hard and responsibly, we can raise the bar and inspire others to great outcomes. And if we all push each other to be better, things can be radically good. I will carry the spirit of this with me forever.
My colleagues at Anthropic are the most talented, thoughtful, competent, and earnest people I have ever met. I am glad they are at the wheel and trust them deeply.
To the community on X, thank you for everything. You’ve made this the most fun (and sometimes stressful) job I’ve ever had.
For me, it is time for a bit of a break before diving into something new.
If you want more excellent Claude Code content, you should follow @addyosmani , @lydiahallie, @_catwu, @ClaudeDevs and of course @bcherny who started it all.
Shivay Lamba retweeted
Cached tokens are now live on Nebius Token Factory⚡
Reusing context across requests?
Cached input can help reduce costs. See cached-token usage in API responses and billing, with pricing per model.
More info: docs.tokenfactory.nebius.com…
Shivay Lamba retweeted

Kimi.ai@Kimi_Moonshot18h
United States!
United StatesConnected via WebLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
Shivay Lamba retweeted

Kimi.ai@Kimi_Moonshot18h
United States!
United StatesConnected via WebLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Meet Kimi K3.1 Pro, our most capable 3T-class model.
Shivay Lamba retweeted

Vaibhav (VB) Srivastav@reach_vbOct 22
United Kingdom
United KingdomConnected via United States App StoreAccount-level information, not a live location or per-post device.
past ~48 hours in security:
> PHP: unauthenticated remote code execution
> GitLab: CVSS 10.0 remote code execution
> Node.js: Brotli decoder RCE + 9 other flaws
> Chrome: 353 security fixes
> Signal: a bug that can prevent calls fully ending
> eMudhra: compromised CA keys
> Oracle: 1,295 security patches
> Fortinet: critical/high fixes
> Atlassian: 176 vulnerability entries
and that’s after the Linux VM escape disclosed last week.
ask Codex / your agent to check your code, dependencies and infrastructure for exposure to these.
set up automations to regularly check for newly disclosed vulnerabilities and flag what needs patching.
Replying to @TerryTangYuan @TensorScaleAI
huge congrats @TerryTangYuan super excited to see this direction
Shivay Lamba retweeted

Theo - t3.gg@theoOct 23
United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
Replying to @RichardSocher @Recursive_SI
wohooo congrats on the launch
Shivay Lamba retweeted

Richard Socher@RichardSocherOct 21
United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Shivay Lamba retweeted
A lot of people trying to imply that last 1 year of vibe coding is responsible for all the security vulnerabilities dropping across every piece of software this week.
But if you take a deeper look you’ll see most of the CVEs are impacting actually hand written code from the past; and in fact AI agents are super important to defend against cyber attacks (quickly deploying changes at scale, monitoring situations, writing the code to patch the exploits etc).
Just because humans wrote it doesn’t mean it is necessarily more secure than what AI wrote.
Shivay Lamba retweeted
We’ve spent the past year developing new primitives for GPUs. We believe this enables new algorithms to change how machines learn, open new markets, and dramatically reshape AI’s cost structure.
We have raised a $1 billion Series A, co-led by Index and Lux.











