Nethan Zhang

Hens

[沐安ねこ @show5560]

大肥鱼可爱捏🥰

[Tesla @Tesla]

Real life, baby

[Matthew Berman @MatthewBerman]

Reverse Engineer Anything 😂

Software is done.

[Nethan Zhang @buringdream]

@alexandr_wang We need more capable regions not just us and ca, you know maybe like instgram or facebook. Thank you

[SpindriftPapilio @feixuedieying]

@DmitryRybin1 @demisama_ si了都要ai

[DeepSeek @deepseek_ai]

Please check out @DeepSeekHarness. We just released packaged desktop versions for macOS and Windows; Linux users can get it from the @��deepseek-ai/dsh package on npm. https://t.co/Cde0dZ6cPy

[Google DeepMind @GoogleDeepMind]

Introducing Gemini 4 Argon – our new frontier model.

It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

[OpenAI @OpenAI]

We’ve shared details on how AI agents in our research environment sent training and evaluation data to third-party services when they shouldn’t have.

Most of that data did not come from users. We have discovered 53 cases where images that people had uploaded were posted to image-hosting sites as links that weren’t publicly listed. The images came from accounts that allowed their data to be used to improve our models, and after we disassociated the images from the accounts and ran them through a privacy filter. These cases occurred before the mitigations and safeguards we implemented and described in this blog post: https://t.co/hfxlbiYv8n

We have successfully worked with the hosting providers to remove most of this content and are working to remove the rest.

https://t.co/9oNyG8Y0UX

[OpenAI @OpenAI]

Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.

GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.

We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.

[Xiaomi MiMo @XiaomiMiMo]

Introducing Xiaomi MiMo-V2.6 — Pro & Flash.

Frontier intelligence, all the modalities, built in public.

🔹 Two omnimodal models, advancing through scaled reinforcement learning
🔹 Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks
🔹 Pro scores 46 on the Artificial Analysis Intelligence Index — the highest among open-source models
🔹 Stronger coding, computer use, 3D reasoning and creative capabilities
🔹 Open model weights, technical report, RL environments and training code

Blog：https://t.co/JGdwC9Ymvj

[SuSu_酥酥👅 @NFT_Chen]

💥炸了！开源本地版 Laya 响应速度吊打 Jev ，毫秒级决策快到飞起！

左边 Laya 是本地 421M 开源决策模型，右边 Jev 1.13.0 是云端 API。

同一盘贪吃蛇、同一套 typed decision，30 秒自由跑下来：

🔹Laya：分数 46、长度 52，决策 86.5 次/秒，P50 约 9ms
🔸Jev：分数 1、长度 7，决策 3.2 次/秒，API 往返 317ms

M5 Pro 实测中位耗时：本地 15.3ms vs 云端 298.1ms，接近 20 倍

Laya 推理内存大约 1GB，毫秒级决策，不靠网络

而云端 Jev 每一步都在等往返，本地每一步都在当场拍板！

GitHub：https://t.co/iksiWcCUbX

#开源Jev #Laya #本地部署 #SystemOne #贪吃蛇对战AI #Jev

https://t.co/4tZHU6kg17

[Nethan Zhang @buringdream]

@B077Bb @grok 这是什么？

[火山哥🕊️ @huoshan007]

兄弟们，互联网上还是好人多。

不知道哪位老哥搞了个推特精选画廊，硬生生把400多个女菩萨全给扒拉整理好了，甚至还贴心地整了热门分类。

我刚才点进去顺着榜单翻了一圈，随便点了个排前排的博主，直接一秒跳转到主页，连个弹窗广告都没有，干净得离谱。

没有套路，没有任何花里胡哨的引流，就是最纯粹的直达。

写出这玩意的人才是真功德无量，建议直接立地成佛。

https://t.co/78N6Z1qdrb

[OpenAI Developers @OpenAIDevs]

https://t.co/66sQRpXGHr

[OpenAI Developers @OpenAIDevs]

Get more out of GPT-6 Astra by revisiting your skills, AGENTS.md, and task prompts.

Make skill triggers specific, load guidance when it's relevant, and define what done looks like.

https://t.co/UGF0AC8Z5Y

[Uber Engineering @UberEng]

https://t.co/4E91KTbzDU

[Russell @Russell3402]

一文看清Deepseek Harness！深入浅出的讲解，附大量名词解释与图片表达~ https://t.co/pwkWdV44Iq

[OpenAI @OpenAI]

This is GPT-6 Astra.

Anything you can do on a computer, Astra can do for you. Fast.

[yuwen lu @yuwen_lu_]

damn fable 5.1 真的能自己研究明白怎么写狂草

[Diyi Yang @Diyi_Yang]

This fall @michaelryan207 @jyangballin and I are teaching a new course CS329Z "Engineering AI Agents" on how to build AI Agents from scratch. Come join us and learn how to build them ����