Grok Imagine just got a major update from @xai! You can now specify up to 7 reference images for generating a video. The images can reference people, objects, or even keyframes. It's really very flexible! @Grok will then combine the references with your prompt into a video. 📹 https://t.co/9bIDPxOo7m

Grok Imagine UPDATE: You can now integrate up to 5 reference images into your videos. Improved understanding of the prompt Improved consistency between characters and settings https://t.co/OpDIEOlrvq

Grok Imagine now supports Referencing Images with @ for Image Editing and Video on Web https://t.co/R8Uqr2ud2k

BBC says “deep wound” stab kits are now recommended on London buses for some strange, unstated reason https://t.co/9y3cgbLSj4

Historical PSA: We're still in it, more broadly and with privacy, and we will get it right on both fronts https://t.co/Hn5WDPnp6K

i open-sourced autokernel -- autoresearch for GPU kernels you give it any pytorch model. it profiles the model, finds the bottleneck kernels, writes triton replacements, and runs experiments overnight. edit one file, benchmark, keep or revert, repeat forever. same loop as @karpathy autoresearch, applied to kernel optimization 95 experiments. 18 TFLOPS → 187 TFLOPS. 1.31x vs cuBLAS. all autonomous 9 kernel types (matmul, flash attention, fused mlp, layernorm, rmsnorm, softmax, rope, cross entropy, reduce). amdahl's law decides what to optimize next. 5-stage correctness checks before any speedup counts the agent reads program.md (the "research org code"), edits https://t.co/ubU2WPOJwh, runs https://t.co/gJklhqV5hS, and either keeps or reverts. ~40 experiments/hour. ~320 overnight ships with self-contained GPT-2, LLaMA, and BERT definitions so you don't need the transformers library to get started https://t.co/45z8Z7nP3N

Announcing Context7 CLI! MCP isn't the only way anymore. Now any AI agent can pull docs with Context7 — just the CLI and the find-docs skill. One command: npx ctx7 setup

AI isn't replacing programmers, but it *is* making it harder to survive as a programmer with purely technical skills and no interest or expertise in how those skills translate to business or societal value. Funny thing is, this has always been true—it's just being accelerated a bit due to AI. There's a famous essay by @patio11 from 15 years ago called "Don't Call Yourself A Programmer, And Other Career Advice". https://t.co/FlJGJFTWmL

AI doesn’t see the world the way humans do. What looks obvious to us can be misinterpreted by machines when categorizing objects, scenes or context. As AI systems move deeper into areas like safety, healthcare and autonomous systems, these perception gaps become more than technical issues. If AI is going to make decisions about the real world, how do we ensure it actually understands what it’s looking at? https://t.co/PHUybYbKIz @ConversationUS

https://t.co/9WVNz5PdFY great post from @sh_reya, resonates with my experience of ai-augmented writing - it's very much about maintaining momentum and finding your sense of rhythm might just attach this post to my future claude writing chats tbh

https://t.co/9WVNz5PdFY great post from @sh_reya, resonates with my experience of ai-augmented writing - it's very much about maintaining momentum and finding your sense of rhythm might just attach this post to my future claude writing chats tbh

@nospotfer Qwen3.5 is ranked at an impressive 7th place on pinchbench atm. It's really impressive for such a relatively small open-weight model. I think that's a perfect use case for local LLMs. Curious to see where Nemotron 3 Super will rank. https://t.co/Hln4jMPSi8

🚨BREAKING: Langflow just open-sourced a complete RAG platform in a single package. It's called OpenRAG. Built on Langflow, Docling, and OpenSearch. Upload documents, run semantic search, and chat with your data no duct tape required. One command to run: uvx openrag → Full document ingestion pipeline → AI-powered chat over your files → Built-in semantic search via OpenSearch → Visual workflows via Langflow → Docker support out of the box 100% Opensource.

Context engineering is having a resurgence as a topic and I'm here for it @LoganMarkewich and I wrote about this a while back. The short version of what we think actually matters 👇 The framing: prompting is just one input. context is everything the LLM sees: system prompt, chat history, retrieved knowledge, memory. Context engineering is about engineering all that, well.. → context compression/summarization before it hits the LLM → relevance ordering, not just relevance filtering → being deliberate about what goes in long-term memory vs short-term Our full post: https://t.co/zdNDk87k8j

Another week, another noteworthy open-weight LLM release. Nvidia’s Nemotron 3 Super 120B-A12B looks pretty good. Benchmarks are on par with Qwen3.5 122B and GPT-OSS 120B, but the throughput is great! Below is a short, visual architecture rundown. https://t.co/eqSOPAeqQz

Bitsandbytes now has full ROCm/CUDA feature parity! 🧵 See thread for more details. https://t.co/ZeqRzkuXIb

Bitsandbytes now has full ROCm/CUDA feature parity! 🧵 See thread for more details. https://t.co/ZeqRzkuXIb

MCP sucking is a harness problem, not an MCP problem MCP unlocks behavior that is fundamentally impossible to get via CLI or APIs Bad auth, too much context usage, all get solved with an execution layer - your agent writes code to progressively discover and call tools https://t.co/kUfhhEkiph

Learn more and apply from the link below🤗 https://t.co/QLPgege4CI

anyone else notice that chatgpt is using clickbaity follow up questions? https://t.co/S7wTlYf38e

Hugging Face Builders is a global community program that puts local leaders at the center of the open-source AI movement 🤗 If you're passionate about open AI and love bringing people together, this is your invitation to lead ✉️ Apply for to build the Paris chapter today ➡️ https://t.co/ONVBZdxRdc

I don't think chat apps do justice to how we should interact with AI agents. So we built @BotMobileApp — a native iOS app for @OpenClaw. Monitor your fleet, chat with agents over end-to-end encrypted P2P WebRTC, schedule tasks and work with docs from a native app instead of being stuck at your desk.

📢 Excited to announce that we're doing the AI Policy Precepts in DC again! Open to all federal employees. Interactive roundtable discussions between federal officials/advisors and many of Princeton's leading AI policy experts including me (Sayash Kapoor, Mihir Kshirsagar, Andrés Monroy-Hernández, Arvind Narayanan, Miranda Wei). Apply by March 20. Offered by @PrincetonSPIADC and @PrincetonCITP. Details and application: https://t.co/acEAQuFEPc

Try this prompt by @tetsuoai in Grok Imagine https://t.co/KlPqeWf4AJ

It worked! DART successfully shifted the orbit of not one, but two asteroids around the Sun after Falcon 9 launched the spacecraft in 2021 → https://t.co/XRqXZumZBk https://t.co/G1kBkx5EQ3

On the Google Play store Grok has passed over 2 million reviews with 4.8 stars. I've never seen an app with so many positive reviews. https://t.co/Ev0nTqyxTJ

Tech investor Joe Lonsdale states that passing the SAVE Act is non-negotiable. He claims "lots of cheating" is happening behind the scenes and warns that the public is far too naive about the current state of election integrity "We need to fix the voting... people are very naive about why this is true."

AI may become one of the biggest leadership opportunities for women in decades. As AI reshapes business, the real advantage will not come from the technology alone, but from who builds the governance, sets the direction and turns capability into responsible impact. That is exactly why women’s leadership matters so much in this era. The AI race is not only about who develops the tools, but who leads how they are used. https://t.co/VRQUxPdt9p @IMD_Bschool

Grok Imagine. Dangerously addictive. Crisp visuals. Immersive sound. You drift. @Grok https://t.co/Fb50lgrbrI