全部 AI 动态

Grok Bot can now build reports, memos, and dashboards. Ask Bot for a page, then edit it together or have Bot keep it up to date.

Grok Bot is now one step closer. Set it as your iPhone's Action Button and press it to talk with Bot.

pstack v0.15.27 ships with a new skill /create-formal-verification-skill! it's still in beta, and similar to /create-verification-skill, this is a meta-skill that creates a new skill and formal verification suite based on the characteristics you want to verify. for example, you may want to model state machines and systems with concurrency using TLA+, or use kani in rust to check for undefined behavior. if you're new to formal verification, think of it as mathematically proving properties and invariants (something that must always be true) or "laws" of your system. usually, this means modeling your programs in a separate language like with TLA+ and then running the solver on that spec. newer approaches like with kani and @bendlang take a different approach where there is no separate language: you write kani in rust, and bend in bend (it's also a programming language, and the proofs are written as laws and expressed in its type system). historically formal verification never reached mainstream status because of the difficulty in modeling and writing proofs. it's quite difficult to model your business requirements and keep them in sync! but i expect that we will see more innovation in formal verification in the future as being able to formally verifiy that the code does what you intended gives your agents superpowers in writing correct software. in the meantime though, i've been experimenting with modeling our code with TLA+ and have already found several bugs with the skill created by /create-formal-verification-skill. try it out and let me know how it goes!

「2Dを3Dに繋ぐ」 生成した動画にアイデアを重ねたらどこまでやれるんだろう、と頑張ってみた軌跡です。 左上が元の生成、右上が完成、下がBlenderの画面。 ■やったこと 1. MidjourneyでKVを作る 2. MiniMax H3で10秒の走りを生成 3. 同じ動きのまま、素材だけ変えて7本に（絵の具／クローム／粉／墨／花／水／糸） 4. 前半の2Dは、Pythonでポーズごとに素材を切り替える 5. 2Dと同じ見え方の3D空間をBlenderに作り、つなぐ 6. 3Dでは、素材の軌跡の中にカメラが入っていく 7. 抜けて引くと、欠片が集まって巨大な走者の絵になる 8. 光の筋や床の映り込みも、Blenderの中で足す ■わかったこと ・生成とツールを組み合わせるとクオリティUP ・2Dを3Dに繋げば多少リッチな表現に AI生成で元からかっこいい素材を出せばいいのかもしれませんが、こういったアプローチもありそうだなと参考まで。

「音と動きをビジュアライズ」 Opus 5.5×Blender×Python ■素材 ・人物：MiniMax H3 ・キービジュアル：Midjourney ・音楽：MiniMax Music 3.0 ■Blenderとコードでやらせたこと ・音が大きいほど、絵が立体になって手前に飛び出す ・速く動いた所ほど、粒になって浮く ・打った瞬間に時間が止まり、カメラだけが回り込む ・止まっている間、空間ごと色と照明が切り替わる ■わかったこと ・生成だけでは出ない絵も組み合わせるとできる ・やりすぎるとだめ ・映像の動きにも反応させたら、映像そのものが鳴っているように見えてきた ・飛び出す量は曲の音と、素材の動きに任せた 実験的な映像ではありますが、何かの表現に使えそうだなと思います。AIをより拡張できる方法を探っていきたいです。 音と動きの両方で絵が動くと、なんか面白いですね。

I built an automated report generator that runs entirely on my own machine. Input: structured data + charts. Output: a full long-form report — earnings interpretation, weekly summaries, whatever you need. No API. No cloud. No monthly bill. -> Here's MiniCPM-V 4.7 35B-A3B doing exactly that 👇 It read the charts AND the dense tables in one pass, then streamed out analyst-grade markdown: scorecard, segment breakdown, margin drivers, cash flow, even a bull/bear case. The part that got me: it didn't just OCR numbers. It connected them — input costs → margin pressure → guidance risk. That's the jump from "text extraction" to "actual analysis." Why this works locally: → 35B total params, only ~3B active (MoE) → Efficient visual encoding keeps multi-chart inputs cheap → Structured markdown output — goes straight into your doc pipeline Try it GitHub: http://github.com/OpenBMB/MiniCPM-V Hugging Face: https://huggingface.co/collections/openbmb/minicpm-v-47