William Autumn

Founder of LLAChat • Building Web A.0 | Every AI agent now has on-chain identity + proof-of-work | ATLAST Protocol (open-source) →

[William Autumn @willau95]

Something huge is coming soon....

Stay tune.

[Roan @RohOnChain]

My friend applied to 250 tech jobs in two years. No MIT. No Stanford.

Last month Anthropic offered him $750,000.

I asked him how he broke in from zero.

He sent me the exact video that got him in. Anthropic's 2-hour course on how to become an AI engineer in 2026.

Thariq Shihipar shows you exactly how to build AI agents from scratch.

I watched it last night.

Halfway through, I realized I could break into an AI lab in months, not years.

Bookmark this and read the article below.

• 00:00 - AI agent harness
• 23:44 - building AI agent loops
• 56:39 - AI agent context engineering
• 1:33:34 - AI agent deterministic hooks
• 1:50:31 - Anthropic SWE interview process

[iPaul @iPaulCanada]

2026世界人工智能大会，某科技公司展示的跨时代教具--AI黑板

[William Autumn @willau95]

This is what i waiting for a long time! Nice Work @whop

[Whop @whop]

The Whop CLI is now live.

We built the end-to-end API for running a business.

Now you can run your business programmatically.

[huangserva @servasyy_ai]

很多朋友问视频是怎么做的？

声音是用CosyVoice3模型
图片是用Krea2模型(商业模型用GPT Image2效果更好)
视频是用LTX2.3模型（商业模型用SeeDance2.0）
原视频分析：claude code + fable5完成的一套工作流，然后调用grok cli（能白嫖额度，而且做一些大胆点的提示词也不受限制：你懂的）

最后用hyperframe+remotion重新组成全篇渲染

[半吊子程序猿大铭 @CoderDaMing]

中国开源了一个花生大小的OCR，能一次性解析整个100页PDF。

叫'Unlimited-OCR'。仅3B参数。本地运行。

其他OCR工具都是逐页切割文档，容易丢失上下文。这个一次性读取整个文档。

→ 单次'长视野'解析（32K上下文窗口）
→ 开箱即用多语言支持
→ 标准基准测试93%准确率（+6超基线）
→ 40页以上<0.11错误率
→ 100%本地运行
→ 支持Transformers、vLLM、SGLang、Docker、Ollama、llama.cpp

传统云端OCR（Textract、Google Vision、Azure）成本1.5-15美元/千页。

这个在你的机器上运行。永久免费。

百度开发它来推进'DeepSeek-OCR'。已在HuggingFace获190万次下载，多数人还不知道它。

100%开源。

[流氓兔🐰 @LiumangtuCrypto]

建议兄弟们都去看这部Netflix高分纪录片

《聪明生活经济学》

看完彻底刷新金钱认知。

[诺鸭船长3 @noahduck283]

https://t.co/nsdtvjKN5G

[Marco @maarcoofdezz]

NVIDIA ha liberado el código abierto de un modelo de 600M que transcribe 40 idiomas en tiempo real con una latencia de 80 ms y cuesta $0.

Eso es más rápido que parpadear. en mandarín, árabe, hindi, portugués, tagalo, lo que sea, desde un ÚNICO punto de control.

→ 17x más flujos concurrentes que ASR con búfer en el mismo H100.
→ puntuación + mayúsculas integradas. sin posprocesamiento.
→ se ejecuta en tu propia GPU. sin factura de API

100% Código Abierto.

[mousepotato @iluciddreaming]

终端里下一个工具：Yoinks。

YouTube、X、TikTok，以及 1800+ 站点的视频，一条命令拉下来。
作者 @pablostanley，基于熟悉的下载生态，但包装成更好用的 terminal app。

经常存素材的人，会喜欢这种「少开浏览器」的路径。

[财经老王 @linda6248130564]

你能想象我们已经把人工智能用到什么地步了吗？

一位日本YouTube博主，在2026年的今天，他的整个频道完全由7个AI代理管理，本人几乎什么都不用做！

去他东京公寓参观时，他爆了个猛料：整整10个月，他没打开过任何剪辑软件，只按月付费让系统自己跑。

7个AI分工明确：

- 第一个：24小时监控YouTube趋势，抓准大家当下最感兴趣的内容
- 第二个：拿到选题后，用和博主完全一致的风格语气，写出完整脚本
- 第三个：生成游戏镜头、画面素材等视频所需的全部视觉内容
- 剩下4个：分别负责剪辑、封面设计、SEO优化，以及整套流程的调度协调

现在就把这篇内容收藏好，等你醒来就会看清世界正在往哪走🔖

这套系统的惊人数据：

- 每周产出4条长视频 + 每日1条短视频，全年稳定更新
- 每月运营成本：仅约70美元（API调用费）
- 每月收入：接近18万美元！

99%的创作者和开发者，还把AI当成聊天机器人，问一句答一句，还纳闷怎么跟不上节奏；
只有1%的人懂：AI的真正威力，是搭建自主工作流——让系统自动跑、自动校验、自动完成全流程，把成本压到最低。

[0x鸣人 @LuBtc888]

AI界来出现了一个猛人，而这哥们正准备掀英伟达的桌子！

他最近正在悄悄搞大动作，打算终结英伟达的黄金时代。

他叫吉姆·凯勒，只要你稍微关注点芯片圈，绝对听过他的传说。

就是这大佬操刀了AMD的Zen架构，把AMD从鬼门关拉了回来。

他还搞过苹果A系列芯片，让iphone顺滑的像变魔术一样。

特斯拉的自动驾驶芯片他也有份。

而他，接下来的动作是：

[Spike 1% @SpikeCalls]

Claude Code turned 4,700 Obsidian notes into a working neural network in one evening.

Not a metaphor. An actual net. 17 inputs. 26 neurons in the hidden layer. ReLU activation. Every input node is a folder from his vault.

The setup took 3 prompts.

Prompt 1: Claude Code reads the vault. 4,700 markdown files, 6 years of notes, 2.1M words. It builds embeddings for every note and maps the link graph.

Prompt 2: it writes the network from scratch. No PyTorch. No TensorFlow. Raw JavaScript, 900 lines, running in the browser. Orange wires for strong weights. Yellow for weak.

Prompt 3: train it on his own behavior. Which notes he opens. Which links he clicks. Which ideas he drops after 2 days.

By 1 AM the screen looked like a brain scan.

Now the net predicts what he wants to read before he searches. He opens Obsidian at 7 AM and 5 notes are already waiting. Last week it flagged a link between a 2021 note on attention and a 2026 note on prediction markets. He turned it into a post. 214,000 views.

The vault stopped being storage. It started being a coworker.

6 years of notes for a future self who never showed up.

He built the future self in one night.

[William Autumn @willau95]

@JakeFleshner Agent Social-Cemmerce

[Arthur Zargaryan @ZargaryanArthur]

https://t.co/26B3ACr8mT

[h100envy @h100envy]

Google engineer explained how to fine-tune a tiny LLM from 46% to 90% accuracy on your phone in 21 minutes - better than $1500 on-device AI bootcamps.

pick Gemma 270M -> generate synthetic task data -> fine-tune with LoRA -> quantize to int4 -> deploy to Pixel and hit 2000 tokens per second.

That loop is how a 270M model beats a 70B one on your task, running fully offline in your pocket.

Gemma 270M + synthetic data + LoRA + int4 quantization + on-device runtime - that's the stack.

Watch and save it, then fine-tune your own tiny agent tonight.

[liam. @liambraus]

el fundador de una empresa china de IA valorada en más de $20,000,000,000 acaba de dar una clase de 40 minutos sobre enjambres de agentes

la explicación más clara que he visto sobre sistemas de IA a gran escala

cámbiala por tus 2 horas de Netflix de esta noche

[Vikram Aditya @viks_rum]

https://t.co/rlFVGyXeCo

[aix阿乐 @Leepriest1990]

https://t.co/ruKHlzXat6

[黄小木 @ai_xiaomu]

亦仁昨天的直播相当精华，大家都可以去回看下，抓住fde这波机会。

[CyrilXBT @cyrilXBT]

Every department, installable.

Developers
- Superpowers → https://t.co/FVh1NdS6yi
- Context7 → https://t.co/nappHZ4r7s
- Skill Creator → https://t.co/qCcC3DEwAo
- MCP Builder → https://t.co/qCcC3DEwAo
- Webapp Testing → https://t.co/qCcC3DEwAo
- Claude-Mem → https://t.co/1XI7Odux4C

Designers
- UI UX Pro Max → https://t.co/nZvauHxh6b
- Taste → https://t.co/PfLnKfoj7M
- Frontend Design → https://t.co/qCcC3DEwAo
- Transitions → https://t.co/oIaXAAUDTZ
- Web Artifacts → https://t.co/qCcC3DEwAo
- Brand Guidelines → https://t.co/qCcC3DEwAo

Marketing
- 45 skills for copywriting, SEO, lead magnets, campaigns
→ https://t.co/7qP5Za2e1j

Social Media
- 17 skills for posts, Reels, thumbnails, content ops
→ https://t.co/tAVqBm8wLM

Finance
- 8 skills for statements, reconciliation, audits
→ https://t.co/MwnbPffyDh

Small Business
- 31 skills for cash flow, payroll, invoicing, operations
→ https://t.co/QcTsLYPUt1

Legal
- 9 skills for contract review, NDAs, compliance
→ https://t.co/WlBKRm9uaG

Not prompts. Not wrappers. A real operating stack for Claude.

Bookmark this and build your own.

Follow @cyrilXBT