DevDay

Muse is fine as a personal assistant but I tried to give it just one simple coding task and it broke the entire app. Meta does not ship serious AI models

Claude Code will now try to find a graceful stopping point when you hit your 5-hour limit mid-task, instead of cutting off mid-edit. It gets a small, fixed allowance pulled from your weekly limit to wrap up what it can.

You've never routed like this before. @OpenRouter is bringing Jev to all of your LLM calls, so your agentic workflows never have to waste a token again. As always, faster, cheaper, more intelligent. Go build the future.

Antigravity 2.0 now features a dedicated planning mode, just like the Antigravity CLI. Type /plan and the agent steps back to think through the task, and conduct extensive research, before generating an implementation plan for your review. The agent will ask for your approval before it begins executing on the task. You can also ask for a plan naturally in your prompt, for a lighter version of a plan.

We’re building Copilot as a new OS for work that spans every model, every form factor, and every task. Today, we’re announcing our biggest update to Copilot to date, bringing four things together: · Autopilot: proactive and long-running agent built for the enterprise · Code: build apps with Copilot, hosted inside your company’s tenant · Home: Chat + Cowork together · Office: now fully embedded in Copilot (and Copilot embedded in Office, of course!) Plus, you can invoke Copilot in Teams, and we’re introducing Today, a proactive experience that surfaces the most important information from across M365 without needing to ask for it. The way we work is changing and so are our workflows. This update brings AI into that flow, from answering a question, to building an app, to getting work done on your behalf.

I cracked open Meta's Muse - here are some interesting bits 🔽 1. You can ask it for the entire contents of /opt/ and it will zip it up for you 2. There a ~70 preloaded skills and CLI for everything from spotify to instragram-cli 3. "Spaces" is their website builder that uses Tanstack, Bun and Tailwind. Sharing a site deploys it to Cloudflare 4. It will install anything - like a torrent client 5. It has it's own "Muse DB" with a skill to query its own memories/convos with strict guard rails 6. There are a few things not enabled on my account, including "muse mail" which will give muse an inbox and ability to send email Generally impressed that you can just do anything - it's not limited or watered down like I would have imagined

china is winning Dubais roads - 3 out 4 new cars that I see are Chinese brands

Another way to sign up for Muse outside the US: Sign up at cloud.browser-use.com with GitHub to get free credits. Ask its cloud browser to open muse.ai/join, then complete the signup. You can link your Facebook account to skip the card check.

Pay attention to this new wave of System One models if you are building custom harnesses. First Jev. Now, Contrastive Language Model (CLM). CLM is 9x faster than Jev. CLM seems to be a better verifier than Jev, particularly at long-horizon tasks. How do Jev and CLM differ? CLM is contrastive, and Jev is trained with Reinforcement Learning for Calibrated Decisions (RLCD). Jev receives a situation plus predefined questions, and returns typed decisions with probabilities. CLM embeds the situation and candidate actions, compares their similarity, then ranks or selects the best match. The point is that there are several ways to attack this problem, which is exciting. You can see my recent guide on combining System One and System Two models for building custom harnesses. academy.dair.ai/resources/je…

just took gpt 6 luna for a spin, and… it’s a very weird model 1. it’s insanely cheap, even with the point below considered 2. it’s extremely slow, not in terms of time to first token or toks/sec, but how many turns it takes to get something done 3. it eventually does get shit done.. this created an interesting condition - using it interactively feels totally unusable because you have to wait for many turns before a useful outcome comes back i tried it with high reasoning as firstmate and it straight doesn’t work, because by the time it finishes the current turn there are already two more turns worth of events piled up for it to process. it cannot keep up and literally will never finish but if used as a background workhorse, and you don’t care that much about e2e latency, then it’s _extremely_ cost-efficient and capable - nothing else even comes close to this ROI when the labs brought us “fast mode” which makes the models faster but costs more, i jokingly said i actually wanted a “slow mode” turns out luna is the slow mode