全部 AI 动态

You're not behind. There's no secret everyone else has. There's just the harness, and it's mostly all you need. @burkeholland gives you a simple, repeatable workflow for GitHub Copilot. http://x.com/i/article/2039106922583117824

「未来都市」 嬉しいことに、PixverseのCPPになれました٩(*'ω'*)و 敷居が高いと言われてたので、嬉しさもひとしお。 そんな訳で、さっそく1本目。 これは『Pixverse V6』からt2vで作ったものです。(テキスト➡動画) …これ、かなり良いのでは🤔 Seadance2.0よりクレジットの消費も少ないし、まだi2vは試してませんが、本数を作る自分とっては助かる✨ #pixverse #pixversecpp @Pixverse_

Turns out GPT-5.6 Sol is actually SoTA on ARC-AGI-3. Just took two setting changes. You just have to allow it to reason and work over multiple context windows with the help of our canonical compaction implementation. https://openai.com/index/how-two-settings-tripled-our-arc-agi-3-scores/

http://x.com/i/article/2066965659259686912

ChatGPT Voice has 100% transformed how I work Instead of spending 12+ hours a day at my desk, I now spend at most 2 The rest is outside in nature. Picture below is me hiking this morning, getting WAY more done then I ever have at my desk You need to be using it right tho Here are my best tips for getting the most out of Voice: 1. Use it to delegate, not actually do the work. Every command you give to your Voice agent, ask it to spin up a new thread and have another agent do the work. Voice is powered by a lower intelligence model. By delegating tasks, it gives the task to 5.6 Sol and allows your Voice agent to free up time to keep working with you 2. Frequently ask for status updates on all the work it delegates. I have found a higher silent failure rate than I'd like with delegate agents. By forcing your Voice/chief of staff agent to constantly check in on delegate agents, you can assure they are on top of their work 3. 'Spruce' is the best voice. Most pleasant to talk to 4. When on the go, frequently ask your Voice agent to create HTML sites for research/tasks it does. This way when you get back to your computer you have well designed HTML sites explaining work your agent got done. 5. My favorite new routine is waking up at 6:00am, chugging water, putting on my weighted vest, grabbing my phone and airpods, getting outside, booting up the Voice Agent, then brain dumping everything on my mind about what I need to get done that day. The Voice agent then proceeds to spin up 10-15 new threads/agents to start tackling all of that work. By the time the clock hits 7:00am, I already have more work done than I was getting done in a full 8 hour work day before AI. Steal this routine I'm probably the biggest power user of ChatGPT Voice outside of OpenAI employees. Truly blown away by this tech If you take these tips and get the most out of Voice, I promise your productivity will 100x

BREAKING: Grok 4.5 ranked #1 on LaurenBench with a score of 56.9%, ahead of Claude Sonnet 5, GLM 5.2, Claude Opus 5, Kimi K3 and GPT-5.6. The benchmark tests real-world AI agents across conversation, tool use, memory and safety.

Learn from your surroundings. You're never alone because your surroundings are your backup. @PixVerse_ #pixversecpp

In October 2022, “an otter on a plane using wifi” typed into an jmage generator created nonsense first try. In July, 2024 the same thing typed into a video generator (plus “on a computer”) gets this first try. Not quite an otter, but look at the lighting & details. Quick pace…

Open weight Kimi K3 performs at Claude Fable 5 level on 3D arcade games! We gave both models the same prompts: ✦ Pac-Man with four hunting ghosts ✦ Nokia Snake remade in 3D ✦ Retro space pinball table with real physics Outputs (thinking included): ✦ Kimi K3 (local, 8x B300): ~237K tokens, $0 ✦ Claude Fable 5: 92K tokens, $4.50 Every one of Kimi's tokens was free on our GPUs. Even via Moonshot's API the same Kimi run would be $3.60, still under Fable. Kimi held its quality against the strongest cloud model. Its snake is the liveliest scene of all six: soft shadows, floating dust, a flicking tongue, and a bot that checks it can still reach its own tail before every move. Fable's snake plays clean but looks flat next to it. Pac-Man is the closest call of the three. Kimi builds a fresh labyrinth on every restart and draws a live minimap in the corner while the red ghost tracks the player turn by turn through the corridors, and it even caught our bot on camera. Fable's maze answers with pearl pellets, +10 popups bursting over the floor and a wide-eyed cartoon ghost patrol. Fable won the pinball table: painted playfield art, a chrome ball that mirrors the neon lights, even little synth sound effects.

This is the prompt I used to 1 shot the Ski game with Claude Opus 5:

Coding agents are helping scientists spend more time advancing research, taking on everything from routine maintenance and targeted optimization to complete redesigns and new systems. While agents can reliably execute on ambitious projects, researchers must still define the scientific questions, verify results, and take a stance on long-term ownership.

The fact that I can go do something else while remotely controlling ChatGPT working on my laptop still feels a little insane. Love this era where ChatGPT and I can both cook at the same time!

BREAKING: Kimi K3 lands in 1st on Slides Arena (Python-PPTX) by DesignArena This open-weight model has an Elo of 1379 and wins 1st by the largest margin we've seen on Slides Arena! We'll be following up with an example and deep dive shortly. Congratulations to the @Kimi_Moonshot team!

Open weight Kimi K3 crushed cloud frontier GPT 5.6 at 3D destruction physics! Moonshot AI became the first lab to open-source frontier model weights. We tested them on 8x B300 We gave four models the same task: build three self-contained HTML scenes with real physics Prompts: – A monster truck crushing a row of cars – Two cars jumping a canyon and colliding head-on mid-air – A giant anvil drop test flattening cars one by one Outputs: – Kimi K3 (local): 32.7K tokens, $0 – GPT 5.6: 19.2K tokens, $0.30 – Grok 4.5: 55.2K tokens, $0.45 – GLM 5.2: 66.8K tokens, $0.15 Kimi K3 made the most realistic scenes and won all three against every other model. Its truck rides over the cars and crushes them one by one, and the wrecks stay crushed. The canyon scene shows the gap best: Kimi's cars smash into each other and fall into the gorge, GPT's cars fly past the crash and land with no damage. Grok 4.5 and GLM 5.2 surprised us with the collision animation in the second scene: the impact moment is the most epic of the whole run, bumpers fold, wheels fly off, debris flies everywhere. Their other scenes are nowhere near that level