Tencent just released Hy4 Preview: a 770B-parameter open-source model... with 49B active parameters and a 1M-token context window. The most interesting part is its agentic research capability. Tencent says Hy4 coordinated several Codex sessions in parallel, evaluated their results and adjusted the research direction, outperforming Codex working alone across eight benchmarks. Hy4 is aimed at long-horizon coding, multi-file office work and scientific research. In sum: a solid, good release. A few months ago this would be absolute sota.show more

🚨 Claude Code & Codex are EXPENSIVE !! So,... I found a CHEAPER AI Agent called WorkBuddy I just tested a new AI model called Hy4 preview And its built for → Coding → Tool use → Deep research → Multi-step workflows And the setup is surprisingly simple. Here’s the tutorial 👇show more

Claude Opus 5, Qwen 3.8 Max, GLM-5.3-Flash, Tencent Hy4... - frontier models sitting on FREE tiers right now: > HuggingFace: Tencent Hy4-preview, 770B MoE, open weights, self-host > TokenRouter: Qwen 3.8 Max free, up to 1B tokens, no card > ZenMux: GLM-5.3-Flash free tier, rate-limited > JustWoker: $50 free credits for Claude Opus 5, API access Four paths to frontier models at $0. The paid tier is becoming the backup plan.show more

Hy4 preview is now available on WorkBuddy, where users... can switch between Work and Coding tasks. The model can execute a wide range of different tasks, including one-shotting complex artifacts. Black hole simulation 👀 Also, Hy4 preview has been compressed from 1.5TB to ~200GiB GGUF, so you can now run it locally if you have a proper setup!show more

🚨 HUGE: Moonshot AI unveils Kimi K3.1 Pro, a... 2.8-TRILLION-parameter model claiming to beat Claude Opus 5.5 and GPT-6 Astra on long-horizon coding tasks. The model features a 1 MILLION-token context window, with 104 billion parameters active per token. Moonshot reports leading scores on SWE Marathon and agent benchmarks. Its ambitions go beyond chat with building game projects in Unreal Engine, Unity and Godot, creating parametric 3D models, and improving financial-modeling reliability. Moonshot promises OPEN WEIGHTS by November 4. Independent testing will determine whether those benchmark claims translate into reliable, working projects.show more

V2.1 of /last30days is out. Now with @OpenClaw, free... YouTube transcripts and a Codex Skill. 1. OpenClaw🦞 + watchlists - automated research via cron jobs on your competitors, people, and topics 2. YouTube transcripts as a 4th source 3. Works in OpenAI Codexshow more

Union Alpha is now in Codex!! The speed is... insane over 300 to 400 tokens a second, 262k context, images in, and it's free for a week. It's a good timing too, most of the Codex usage is basically gone right now. Zai did this exact thing in August: Ox Alpha showed up unnamed, free for a week, built for agentic coding, and a week later it was GLM-5.3-Flash. So what model do you guys think it is?show more

GEMMA 4 26B ON AN RTX 4060 WITH A... 248K TOKEN CONTEXT WINDOW 20 tokens per second and a context window so large you can feed it entire codebases, books and research papers in a single prompt this is not a cloud api and not a server rack, this is a regular consumer gpu running locally with llama.cpp and q4_k_xl quantization 248k context on an 8gb vram card was not supposed to be possible and here it is just running on someone’s desk the article below covers exactly which tools and configs make this kind of setup work in 2026 ↓show more

Fable 5, first Mythos-class model is live on AI/ML... API! We ran a fun test: Opus 4.8 vs Fable 5 are generating a 3D Pokemon. Verdict? Fable 5 is brilliant, fast, and rare as Mew… but Opus is still that nice little guy who does great stuff. 💛 Fable 5 Important bits: SOTA on nearly every benchmark, and the lead only grows on longer, complex tasks. • 1M Context • $10 / 1M input • $50 / 1M output Built for: long-horizon agentic coding, big migrations, vision-to-code, deep research.show more

One of the top pieces of feedback we get... about OpenAI Codex: “make it faster”. We addressed it in a big way with our ultra fast Codex-Spark model (research preview for Pro). Available in the latest Codex app, CLI, and IDE extension. Here’s Spark vs 5.3-Codex-Low side-by-side (Credit Romain Huet for the initial idea).show more

Minister Harris has announced €1.9 million funding for the... National Action Plan for Open Research. This will increase public engagement with research and citizen science, establish a culture of open research and work towards 100% open access to research.show more

the fact that Mable being an actress is the... least most interesting thing about her cus’ wdym she’s just 28 but holds a master’s degree in cellular and molecular science & has several scientific research publications that studied photodynamic cancer therapy? SEXY.show more

Ethereum Sets 2029 Target For Quantum Resistant L1 Ethereum’s... Protocol Cluster has identified quantum resistance as a major research priority through December 2029. It is aimed at making Ethereum L1 quantum-resistant via improvement of several layers of its protocol. The roadmap covers execution, consensus, and data availability, alongside broader research into privacy and network state. Fast finality and zkEVM research are included among other five key areas of cross upgrade research. The Foundation believes these research priorities would contribute to Ethereum protocol development in the long run.show more

🔥 GLM-5.3-Flash Hits #1 on 🐮 GLM-5.3-Flash (Ox Alpha)... is now the most-used and most popular model on with cumulative token throughput surpassing 2.41 trillion tokens. As the first native omni-modal model in the GLM-5 series, it packs 320B total parameters, with 18B active, and features a hybrid sparse and linear attention architecture with a 1M-token context window. The result: lightning-fast responses, powerful reasoning, and outstanding cost efficiency. 🎁 Still 100% FREE on From high-frequency API calls and coding to complex Agents and long-document processing, jump in and experience the #1 model on for yourself! 👉 Try it free now:show more

The FASTEST way to scale to $1M months? Detailed... and extensive MARKET RESEARCH The better the research, the better your ads & funnels And I have a process to get 100+ pages of QUALITY research in SECONDS Like + comment "research" and I'll DM it to you FREE (must follow)show more

We've been working on very long-running coding agents. In... a recent week-long run, our system peaked at over 1,000 commits per hour across hundreds of agents. We're sharing our findings and an early research preview inside Cursor.show more

I’m joining OpenAI Codex to work on the future... of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.show more

Grep just achieved SOTA on the three major deep... research benchmarks, beating Perplexity, Google, Nvidia, OpenAI, and Anthropic. We're a two-person founding team.show more

> be Muse Spark Open > Meta's Llama 4... disappoints everyone > Meta goes closed with Muse Spark > Zuck writes a $100-200 billion check > Muse Wonder ships on Monday > 3 days later Meta drops you with open weights > 816 billion parameters > only 42 billion active at a time > 1 million token context > built for coding and long agent tasks > runs on two Mac Studios on a desk > Meta calls you the most capable US open-weight model ever > every Chinese lab reading the model card America is back in the open-weight game.show more