1/ 🚀 Today we’re excited to introduce the Livepeer Foundation: a new, neutral entity stewarding the next phase of growth, decentralization, and ecosystem coordination across the Livepeer network.

did @claudeai @OpenAI or @GitHubCopilot raise the prices on your AI usage? With @BlueClawNetwork you don't have to worry about a rug pull! . The next beta cohort of 25 starts on Friday June 19 2026 - Reserve your limited spot now!

I just released this open source project built on @ACEStep_Music. DEMON: Diffusion Engine for Musical Orchestrated Noise. It lets you play ACEStep like a musical instrument, remixing songs and loops with feedback that approaches real-time. Its essentially StreamDiffusion but instead of Stable Diffusion it is ACEStep1.5, and instead of images it is full songs. It runs on 30/40/5090. Built with @DaydreamLiveAI team, testing, and building the demo. We are hosting it if you want to try it without installing. For full details, links, and writeup please see the pinned project page.

Excited that our paper StreamdiffusionV2 received the Best Research Paper Award at #MLSys26! 🚀Video generation is quickly moving from demos to production-facing workloads. It is no longer a turn-based pipeline but should be a streaming pipeline to interact with users. 📖Our project page: streamdiffusionv2.github.io/ and paper: arxiv.org/pdf/2511.07399 👂Come join the talk if you are interested in streaming video generation. Our talk will be at the Research Track Oral Presentation: Best Paper Session on Tue 8:45AM at #MLSys26 , I will talk about how we attacked the efficiency and quality challenges. Hope to see you there! ❤️Huge thanks to all authors! This work would not have been possible without the incredible effort from the entire team. Big shout out to Tianrui Feng, Zhi Li, @Andy_ShuoYang , @HaochengXiUCB, @lmxyy1999 , @lvminzhang , @xiuyu_l , Keting Yang, @ZiqiPeng, @songhan_mit , @magrawala, @KurtKeutzer , and @cumulo_autumn

Which are the most common everyday phenomena that we don't properly understand? Off the top of my head: • Lightning (how does it happen?) • Sleep; dreams (why do they exist?) • Glass (thermodynamics of formation) • Turbulence (when does it start?) • Morphogenesis (how does a creature know what should go where?) • Rain (it seems to start faster than models would predict) • Ice (dynamics of slipperiness) • Static electricity (which material will donate electrons?) • General anaesthetic. (And the mechanism of a lot of drugs, e.g. paracetamol.)

Our friends at #CommonIndex just ran An Ecology of Beasts at Milan Design Week, a 7-day generative installation. The cartography piece in this video was generated in real time on Daydream's hosted StreamDiffusion, responding to people in the room and the weather outside. Here's the full story... 🧵

Nvidia just figured out how to put an AI data center on the side of your house. And pay you to host it. Each XFRA node packs 16 Blackwell RTX Pro 6000 GPUs, 4 AMD EPYC CPUs, and 3TB of RAM in a Dell PowerEdge rack mounted next to the AC condenser. The homeowner pays nothing for the hardware. They get discounted electricity and internet in exchange for letting Span tap unused capacity on their electrical panel. This sounds insane until you look at the actual constraint blocking AI infrastructure. Hyperscalers are not GPU-limited. Nvidia ships them on schedule. They are not capital-limited. They are sitting on hundreds of billions in capex. What they cannot get is grid interconnection. A 100MW data center requires a substation upgrade that takes 4 to 7 years in most US markets. US grid operators have over 2,600 gigawatts stuck in their interconnection queues per Lawrence Berkeley Lab. The wait, not the silicon, is the bottleneck. Span solved this by going behind the meter. A new Pulte home has 200A service. That's 48kW of capacity. The home uses 1 to 3kW most hours. The headroom never gets touched. Span's smart panel measures real-time consumption and dynamically routes whatever the home isn't using to the XFRA node. No substation upgrade. No queue. Just slack capacity sitting on the residential side of the meter, already cleared. Span claims it can deploy 8,000 nodes for one fifth the cost of a comparable 100MW centralized facility, six times faster. PulteGroup is the wedge. They delivered 29,000 homes in 2025. The XFRA unit goes in during construction next to the smart meter. No retrofit. Pulte gets a feature on the spec sheet and revenue share on the compute that flows through the wall. The grid was the bottleneck. Pulte just became the workaround.

⚡️ Top AI & Big Data Projects by Developer Activity (30d) Dev.Activity - the development activity of a project done in its public #Github repositories. Development Activity metrics are measured in the number of Github events. $LINK - 194 $ICP - 171 $NEAR - 70.3 $LPT - 29 $INJ - 25.2 $FIL - 21.1 $GRT - 15.2 $ALEPH - 13.2 $ROSE - 12.8 $QUBIC - 12.2 Data source: @santimentfeed

How it feels to do biotech in 2026