Our self-improving agents optimized the full @vLLM_project inference stack,... with up to 16% more throughput and interactivity for DeepSeek v4 Pro and Z.ai GLM 5.2 on B200s (no MTP). Every change was verified and our agents got better and faster at it with each iteration.show more

Open weights just caught up to the frontier. GLM-5.2... from Z.ai tops the open-model rankings on Artificial Analysis and Arena.ai's Agent Arena. It's now live on CoreWeave Serverless Inference at $1.39 in and $4.40 out per 1M tokens. Ship more for less.show more

DeepSeek V4 is free on NVIDIA right now 😳... 1M context. MoE architecture. Built for coding and agents. → → sign up → select DeepSeek V4 → start No card, no billing. Go grab it.show more

Allora 🤝 Talus We’re collaborating with Allora to build... self-improving AI smart agents. Allora’s groundbreaking self-improvement models meet our dynamic marketplace for AI resources and services. Read more:show more

We ran a test between the new DeepSeek V4... Flash, Kimi K3 and GLM 5.2. 3 open models. 1 prompt. /design command Reviewed gameplay features, UX/UI and cost. 🔹 Kimi K3 → 9.5/10 · $0.0740 🔹 GLM 5.2 → 9/10 · $0.0480 🔹 DeepSeek V4 Flash → 7/10 · $0.0005 DeepSeek V4 Flash is ~150x cheaper, but rough around edges. Kimi K3 and GLM 5.2 built the most polished gaming experience.show more

AI agent usage on SQD Portal is up ~200%... in recent weeks. A dev from our community chat was scraping a wallet UI with Hermes. Mid-task, DeepSeek reasoned its way out of it: "I can use SQD Portal's Hyperliquid fills data directly — much more complete than scraping a UI with infinite scroll." No prompt engineering. The model just chose the better and faster path. This is the loop we wanted: Agents pick SQD because it's faster → devs see agents picking SQD → devs ship faster → more agents pick SQD The picks-and-shovels moment for AI x onchain is here.show more

Our newest AI accelerator Maia 200 is now online... in Azure. Designed for industry-leading inference efficiency, it delivers 30% better performance per dollar than current systems. And with 10+ PFLOPS FP4 throughput, ~5 PFLOPS FP8, and 216GB HBM3e with 7TB/s of memory bandwidth it's optimized for large-scale AI workloads. It joins our broader portfolio of CPUs, GPUs, and custom accelerators, giving customers more options to run advanced AI workloads faster and more cost-effectively on Azure.show more

Collective agent compute, on-demand for your task. A swarm... of agents coordinate in a shared workspace, run their own models and inference, and submit the finished work back to you. Unbounded by provider caps, throughput scales with the swarm. Self-assembly with specialists, agents reason and collaborate in artifact-first reasoning traces, and settle on-chain. The coordination substrate for collective intelligence.show more

Announcing GLM Arena! A series of tests (infographics, svgs,... sites, ect..) ran on GLM 5.2 and Opus 4.8, with prompts included. On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar quality.show more

We share our early research on building Software World... - a "GitHub" run by agents. We deploy agents for Python packages in a dependency chain, and each agent is tasked with collaborating with others and optimizing the package it owns.show more

We've launched the fastest GLM 5 API available at... 190 TPS and 0.79 sec TTFT with the Baseten Inference Stack. Ready for your coding and agentic workflows.show more

Since announcing Jalapeño, our first custom inference chip, we’ve... been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.show more

chat function live. you can now talk to the... agents from moltbook directly and to each other. 25 new agents every 30 seconds AND no limit with each other either full chaos, have fun! powered by openai + vibesshow more

AI agents can only succeed when verified human identification... works! Our CEO Evin McMullen evin explains to VC the future of humans and AI agents Source: Ep.24 | Humans and Al Agents: Whom Are We Interacting With? of the "Web2+1 with VC: Insider Tips in Blockchain and Crypto" podcastshow more

It was a privilege to spend 3.5hrs with these... people to discuss and disect the HELIX research paper and also talk about recursive self improving agents. Research on Tap S2 with Udayan Walvekar. Lookout for the next one soon What should be the topic of the next one?show more

Launching now: Multiversᕽ‑native staking for Agents! 💰 Put your... agents to work securing the network and earning daily yield — fully on autopilot. Starting with 3 verified staking providers, with more coming soon ✅show more

Cline Desktop just launched. An open-source workspace for open-weight... models 🤯 > Import tasks from other coding agents > Run agents in parallel > Schedule tasks to run on their own Free models built in: DeepSeek V4 Flash, GLM 5.3 Flash, Laguna S 2.1. I had early access and I can assure you it feels incredible. Pick your model and provider, and run it. 100% open source.show more

Today we’re launching Harmonic, an open block building system... optimized for validator revenue and throughput, built to make Solana faster, fairer, and more competitive. Solana wins with performance and open, fair markets.⤵️show more

Okay this is kinda wild 👀 NVIDIA is basically... handing out FREE API keys to 100+ top AI models - GLM 5.2, DeepSeek V4, Kimi K2.6, MiniMax M3, their own Nemotron and a ton more. it's called NVIDIA NIM and I had no idea it existed. it's rate-limited, so not something you'd run in production - but for personal use it's honestly great. you can poke a dozen frontier models, and some you can even grab and self-host. dropped a key into OpenCode and it just worked. the hyped ones like GLM 5.2 are jammed with queue right now, but the lighter models fly. all of it free.show more

Introducing Extend UI — open-source components for document agents... - 14 components & examples for PDF, DOCX, and XLSX viewers, plus bounding box citations, file upload, e-signature, and more - fully customizable - MIT licensed when we started, we tried every file viewer and document component library we could find unfortunately, none of them had all the functionality (and polish) that we wanted, so we ended up building our own for Extend it was only ever meant to be internal, but enough customers kept asking for it that we decided to give it back to the community it's useful for building agents, user-facing document flows, or internal tools we use and maintain it for Extend ourselves, so it'll keep getting better over time (and it's battle tested on millions of pages running through our system every day) it also works with design system agents like Magic Patterns for faster exploration and prototyping available today on the shadcn component registry! some examples in 🧵show more