Introducing OpenAI’s Dots x Orthogonal Try it out: https://orthogonal.com Ask for a pipeline before bed. Wake up to verified leads, cited sources and the first replies. Your always-on dots now have every tool they need, from company and people data to email.

https://x.com/i/article/2105334942058381312

We used Jev to retrieve sales data 20x faster, 10x cheaper, and 12% more accurate than GPT-5 Mini. Every time a Rox agent answers a query, it pulls from relevant transcripts, emails, CRM notes, news, and documents. We benchmarked two ways of retrieving them: LLM-based reranking Jev classification The results speak for themselves. Jev was faster, cheaper, and more accurate. Revenue agents require thousands of points of context to understand accounts, chart relationships, and execute on sales. This research will help us serve that context with frontier-level performance for our customers.

Create your own character. Call the shots. Live. Introducing A1 Playground + Agent: build a live AI character that talks, moves, and plays with you. Create yours: https://platform.vivix.ai/vivix-a1-model/ Their look. Their personality. Their voice. Your choice. Describe who you have in mind, upload a picture, and let our Agent bring them to life. And they do a lot more than talk. 💃 Full-body performance. From air guitar to victory dances. 🚶 Move around the scene. Walk and talk. Pace while making a point. 🛍️ Interact with objects. Pick up products, show them off, and pitch them. 🎮 Play web games together. Deal cards, keep score, and play along. Solve a mystery with Sherlock Holmes, then interrupt him for a dance break. Take a walk with Socrates. Hand him a protein shake and debate the meaning of gains. Give Snape a bottle of shampoo. Ask for the most enthusiastic sales pitch of his life. Who will you bring to life?

The Microduck adventure continues, and the shipping dates are close enough to feel real now. We are proud to tell you that 10,950 Microducks will come off the line between December 10 and January 10! Weekly batches, earliest orders first. Every date is in here.

Flow has raised a $50M Series B at a $750M valuation, co-led by Antonio Gracias (Valor) and Gavin Baker (Atreides) with Sequoia Capital, Roelof Botha (SpaceX, Block), and more. When I became a mechanical engineer, I wanted to invent. In reality, 90% of the day to day execution work (CAD, excel, sim) was digital manual labour. That’s about to flip. The engineer’s role will change more profoundly than at any point since the invention of CAD, with humans focusing on invention, architecture, tradeoffs and judgement calls, and agents taking the grunt work. Anduril, Joby, Stoke Space, Rivian & many more - Flow is now the default platform for requirements and verification for frontier hardware teams. But it’s not just next-gen anymore. Industry giants including General Motors PPU and Volkswagen & Rivian’s joint venture (RV Tech) are reshaping their core development practices with Flow’s AI. The revolution is just starting. Models are getting better quickly at CAD, analysis, simulation, and tool use. In the next year, AI will move from integrating the work to doing the work. One day, this shift won't just enable us to iterate faster, it will enable us to design a class of products that we could not have dreamt of before. We’re hiring.

Introducing Boreal-H3 — a video model built for ads and our next step toward recursive self-improvement in video generation. A good-looking video isn’t enough. The product has to stay the same. The actor has to stay the same. The label has to be right. And the action in the brief actually has to happen. So we post-trained MiniMax H3 specifically for advertising. But this isn’t a one-off SFT or LoRA fine-tune. We built a closed-loop system that learns what to improve next. Human-calibrated evaluation diagnoses failures and guides the next intervention: targeted data collection, reinforcement learning, or inference optimization. When the feedback is unreliable, we revise the evaluator or reward—not just the generator. Every experiment feeds into shared memory, informing the next training decision. The model improves, and so does the process that produces its successor. The results: → 85.3% reference fidelity — highest among the frontier video generation models we evaluated → Brief success: 28% → 50% → Identity match: 83% → 94% → Visible defects per clip: down 70% → Generation time and estimated cost: down 20% Boreal-H3 doesn’t just make better-looking video. It makes more usable ads. Credit to the @MiniMax_AI team for the foundation we’re building on. This launch is a checkpoint, not the finish line. We’re building more than a better video model. We’re building a system that learns how to make the next one better.

Very happy to announce that our team @GoogleDeepmind has pushed the boundaries of generative biology, achieving the successful synthesis of AI-designed proteins that are both functional and watermarked. This proof-of-concept watermarking of the building blocks of life is enabled by SynthID Bio, our new protein watermarking method. It is designed to safeguard the new era of AI-powered generative biology and strengthen global biosecurity. You can read my thoughts here on why watermarking AI-designed proteins is an important research breakthrough: https://x.com/pushmeet/status/2105314763148321102

What's new in Grok Bot 0:19 Team bots - create bots shared with your team members 1:10 Finances - search and manage your finances with @plaid 1:32 Voice calls - @bot can search chats during calls and gracefully handles interruptions Like this for a special bot animation on @X!

Muse still crushing the charts: