AI Coding Live News — Real-Time 𝕏/Twitter Updates & Breakthroughs

Andrej Karpathy@karpathy·Collected 4d ago

👀72

🔥81

Karpathy builds HackerTube in about 2 hours with Claude Code and Opus 5.5: a YouTube clone of 6,454 videos recommended on Hacker News

On Oct 31 Andrej Karpathy published HackerTube (hackertube.org) on his personal blog: a YouTube-style site that only lists the 6,454 YouTube videos recommended in Hacker News comments from 2007 to 2026, grouped into 150 topics. He says Opus 5.5 in Claude Code did the work: it downloaded every HN comment, ran Sonnet over them in a Workflow to narrow things down to about 40K comments recommending a video, wrapped the result in a YouTube UI, then deployed and hardened it on a VPS, all in about 2 hours. His only manual steps were creating a YouTube API key, booting the VPS and buying the domain. His HN submission reached the front page with about 1,005 points and 308 comments.

Key Takeaways

Source: Karpathy's personal blog post HackerTube (Oct 31), with the site live at hackertube.org
Scale: from every HN comment it narrowed things down to about 40K comments recommending a YouTube video, giving 6,454 videos across 150 topics from 2007 to 2026 (author-reported)
Method: Opus 5.5 ran the download and overall pipeline, used Claude Code's Workflow feature to have Sonnet filter comments and drop spam in bulk, then built a YouTube-style front end and deployed and hardened it on a VPS
Product details: it uses the frame at the 50% mark instead of the uploaded thumbnail, offers account-free For You picks with state kept only in the local browser, supports keyboard shortcuts, and exports the site's data so you can hand it to your own agent to build a variant
Workflow: Karpathy says Opus 5.5 on Medium effort is his default and he no longer reads or writes code or runs terminal commands himself; the HN post has about 1,005 points and 308 comments (public HN data as of Nov 1, 14:10 SGT)

Read full story

Linked Models & Agents:

⚡ Claude Opus 5.5⚡ Claude Sonnet🤖 Claude Code 🌐 Anthropic

#Karpathy#HackerTube#Claude Code#Opus 5.5#vibe coding#Hacker News#YouTube

div (fp32)@divagr1925·Collected 4d ago

👀37

🔥82

View on 𝕏 ↗

X discussion: an indie developer compiles an NPU into Qwen3.5-4B weights and runs Karpathy's stories260K, an LLM inside an LLM

A widely discussed experiment on X: on Oct 31 indie developer div (@divagr1925) showed QwenPU, which compiles a 32-bit RISC-V CPU plus a vector unit directly into the weights of Qwen3.5-4B and runs Andrej Karpathy's 260K-parameter stories260K inside the model's own forward passes, matching a reference implementation token for token. None of the added weights are trained; a compiler computes them all. The post drew about 1,540 likes, 163 reposts and 85K views and became an X trending story. It is a personal, self-described work-in-progress project: the checkpoint is 26.7 GB and one story token takes about 16 seconds on an L4. This is a write-up of the discussion, not an official announcement from any company.

Key Takeaways

Buzz: the @divagr1925 post has about 1,540 likes, 163 reposts, 71 quotes and 85K views (public X metrics as of Nov 1); the earlier Qwenputer post (Oct 28) has about 5,880 likes and was quote-posted by Shopify CEO Tobi Lutke
Method: 13 compiled computer layers (RV32IM + Zba + a bignum unit + the vector unit) sit in front of Qwen's 32 layers, widening the hidden size from 2560 to 5120 while Qwen's own weights stay unchanged (GitHub README)
Efficiency: trace tokens per story token drop from 2.43M for plain C to 53K; at about 3,300 trace tokens per second on an L4, one story token takes about 16 seconds (author-reported)
Verification: the story program runs free on a GPU executor for all 3,184,920 steps, checked against a reference CPU model at every step, which the author says is exact; no independent reproduction has been published yet
Open source: code is MIT and weights are Apache-2.0 as a modified Qwen3.5-4B, on Hugging Face and ModelScope; the 26.7 GB checkpoint needs a 40 GB or larger GPU

Read full story

Linked Models & Agents:

⚡ Qwen3.5-4B⚡ stories260K🌐 Alibaba Qwen

#X discussion#Qwen#QwenPU#Qwenputer#in-weights computing#RISC-V#Karpathy#open source

Andrej Karpathy@karpathy·Collected 66d ago

👀33

🔥96

View on 𝕏 ↗

Andrej Karpathy Evaluates Opus 5: Spends 2 Hours Compiling LoTR Paragraph into 5,500 Lines of Three.js

Andrej Karpathy argued that simple LLM coding tests are obsolete. Given the first paragraph of The Lord of the Rings and a 1M-token budget, Opus 5 ran autonomously for two hours and produced 5,500 lines of procedural Three.js 3D rendering code.

Key Takeaways

Frontier coding models possess the stamina to autonomously generate 5,500+ lines of custom 3D code over hours.
Simple coding benchmarks are obsolete for measuring modern long-horizon agent performance.
Highlights the next frontier: native multimodal visual verification and interactive game testing.

Read full story

Linked Models & Agents:

⚡ Claude 3.7 Sonnet (Hybrid Reasoning)🌐 Anthropic

#Karpathy#Claude#Threejs#AgenticCoding#Benchmark