Delta is now in public beta. It’s a multiplayer environment for coding with agents and reviewing what they build, with every code change linked to the conversation that produced it. Anyone can download it today on macOS, Linux, and Windows: delta.dev/download

Quick reminder: this was the state of robotics just 11 years ago

Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on @huggingface, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...

Today we’re introducing Delta. Delta is a multiplayer environment for coding with agents and reviewing what they build, powered by DeltaDB. The first invites to our private beta are going out now. zed.dev/blog/introducing-del…

テキストや図面でAIエージェントと対話するだけで、台北101の詳細な構造モデルをつくり、パラメータまで調整できる？ これはPlamoで実際に行ったVibe Modelingです。

As New York and New Jersey get ready to host the world’s biggest match, we recreated the stadium where history will be made. We uploaded an image of the iconic MetLife Stadium into Plamo and worked with the AI agent to build a fully editable, parametric 3D model. What iconic sports venue should we vibe model next?

FlakeHub has achieved FedRAMP High Authorization and is listed in the FedRAMP Marketplace 🎉🏛️🔐 This makes Determinate platform features like secure Nix packages, binary caching, and private flakes available to U.S. federal agencies and orgs handling Controlled Unclassified Information (CUI). Nix's reproducible builds, sandboxing, and other supply chain features make it uniquely well suited for the highest-stakes environments and we're thrilled to finally bring it inside the FedRAMP boundary. Read more using the link in thread 🧵🔗👇

Kane Hsieh (@kane) is a GP at @rootvc, which has backed multiple unicorns, all in the world of hardware. On episode three of Cars and Capitalists, Kane and I discuss: 00:00 - Cigarettes with asbestos filters 04:40 - The evolution of crabs, compared to consumer hardware. 10:42 - How shipping parts overnight is faster than 3D printing 13:05 - Why the Japanese can create an excellent taco and the British never will 15:17 - Why there may never be an LLM for generating CAD 23:00 - Humanoid robots are meh 24:40 - The founder who built his own airplane 24:42 - The best way to consume nicotine 28:55 - Asbestos, the miracle insulator 31:23 - Smoking Pipes 33:56 - How to eat the Mona Lisa 37:23 - Be a dumpster fire. Everyone else is doing it.

I was once pitching in a board room at a top 3 VC firm for a $15M Series A. 12 people in the meeting. One of the GPs fully fell asleep. Out cold for 30+ minutes. Nobody acknowledged it. Everyone just kept going. I kept presenting my Series A slides to an unconscious man in a Herman Miller chair and somehow that was considered normal. That's venture capital. You might fly across the country to perform for people who may or may not be conscious. It's a dance. And sometimes you lead and sometimes you follow and sometimes your partner is unconscious. If you're raising right now, just know: every founder has a story like this. The process is weird. The power dynamic is weird. You're not crazy for thinking it's weird. No one talks about it because they want to continue raising. But I'm happy to stick my neck out there. It is weird.

VCs are all the same 🤪