Rahul Amlekar

Agentic AI | Opinions are my own

[Rahul Amlekar @RahulAmlekar]

@claudeai This was #1 on my Claude wish list. Excited to give it a go

[ClaudeDevs @ClaudeDevs]

Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage.

The credit covers usage of:
- Claude Agent SDK
- claude -p
- Claude Code GitHub Actions
- Third-party apps built on the Agent SDK

[Rahul Amlekar @RahulAmlekar]

@girdley Kids

[Nous Research @NousResearch]

NousCon - October 24 - San Francisco

https://t.co/3VMUW5PMys

[Rahul Amlekar @RahulAmlekar]

I’ve got some Sora 2 invites. DM me for one

[Windows Developer @windowsdev]

Windows AI Foundry is now in preview!

It supports the full AI developer lifecycle with ready-to-use AI APIs for language and vision tasks, LoRA for fine-tuning SLM and new APIs for semantic search & knowledge retrieval. Hear from Lei Xu & @RahulAmlekar! https://t.co/htic3k5fHo

[Rahul Amlekar @RahulAmlekar]

@samosa__mimosa @raycastapp @thomaspaulmann Amazing stuff!

[Rahul Amlekar @RahulAmlekar]

@paularambles 45 minutes now

[Rahul Amlekar @RahulAmlekar]

@bcondotta What is it for? It’s been going on for 45 minutes

[Rahul Amlekar @RahulAmlekar]

@AmericanAir Thank you for the exit seat row!

[Rahul Amlekar @RahulAmlekar]

@skirano Perf needs to improve on longer contact lengths first. Then there’s the cost of compute

[AI at Meta @AIatMeta]

Today is the start of a new era of natively multimodal AI innovation.

Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.

Llama 4 Scout
• 17B-active-parameter model with 16 experts.
• Industry-leading context window of 10M tokens.
• Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks.

Llama 4 Maverick
• 17B-active-parameter model with 128 experts.
• Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image.
• Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks.
• Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters.
• Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena.

These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight.

Read more about the first Llama 4 models, including training and benchmarks ➡️ https://t.co/9G3QgVdCkB
Download Llama 4 ➡️ https://t.co/eVomRvEr0w

[Rahul Amlekar @RahulAmlekar]

Happy 50th Anniversary, Microsoft!

[Rahul Amlekar @RahulAmlekar]

@sama @sachin_rt Sam vs Sachin

[Rahul Amlekar @RahulAmlekar]

@joannejang

[Rahul Amlekar @RahulAmlekar]

@archivesbygargi Ask it to summarize with pointers!

[Rahul Amlekar @RahulAmlekar]

Want to differentiate in the age of AI? Cultivate independent thinking.

[Rahul Amlekar @RahulAmlekar]

@YouTube shorts should be optional for premium subscribers

[Paul Couvert @itsPaulAi]

Microsoft just released an impressive tool

OmniParser V2 can turn any LLM into an agent capable of using a computer 🔥

You can enable GPT-4o, DeepSeek R1, Sonnet 3.5, Qwen... to understand what's on your screen and take actions.

100% free & open source

[Rahul Amlekar @RahulAmlekar]

Try out on-device AI development on Copilot+ PCs! Excited to hear your feedback.

https://t.co/sThTte2s7f

[Windows Developer @windowsdev]

Windows Copilot Runtime APIs are now live in WinAppSDK 1.7 Experimental 3! 🎉

Now you can leverage powerful capabilities (i.e. Phi Silica, image segmentation, and more) without the need to find, run, or optimize your own ML models.

See 🧵 for key resources to get started