📰 AI 博客每日精选 — 2026-06-02
来自 Karpathy 推荐的 149 个顶级技术博客,AI 精选 Top 15
🏆 今日必读
🥇 Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts
Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts — krebsonsecurity.com · 7 小时前 · 🔒 安全
Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts
🏷️ Meta, Instagram, account hijacking, AI bot vulnerability
🥈 Anthropic confidentially submits draft S-1 to the SEC
Anthropic confidentially submits draft S-1 to the SEC — Hacker News · 8 小时前 · 🤖 AI / ML
Anthropic confidentially submits draft S-1 to the SEC
🏷️ Anthropic, IPO, S-1, AI company
🥉 Checking assembly with Z3
Checking assembly with Z3 — bernsteinbear.com · 1 天前 · ⚙️ 工程
Checking assembly with Z3
🏷️ Z3, SMT solver, Ruby, JIT
📊 数据概览
| 扫描源 | 抓取文章 | 时间范围 | 精选 |
|---|---|---|---|
| 130/149 | 6562 篇 → 1205 篇 | 48h | 15 篇 |
分类分布
高频关键词
📈 纯文本关键词图(终端友好)
llm │ ████████████████████ 7
chain-of-thought │ ██████░░░░░░░░░░░░░░ 2
meta │ ███░░░░░░░░░░░░░░░░░ 1
instagram │ ███░░░░░░░░░░░░░░░░░ 1
account hijacking │ ███░░░░░░░░░░░░░░░░░ 1
ai bot vulnerability │ ███░░░░░░░░░░░░░░░░░ 1
anthropic │ ███░░░░░░░░░░░░░░░░░ 1
ipo │ ███░░░░░░░░░░░░░░░░░ 1
s-1 │ ███░░░░░░░░░░░░░░░░░ 1
ai company │ ███░░░░░░░░░░░░░░░░░ 1
🏷️ 话题标签
llm(7) · chain-of-thought(2) · meta(1) · instagram(1) · account hijacking(1) · ai bot vulnerability(1) · anthropic(1) · ipo(1) · s-1(1) · ai company(1) · z3(1) · smt solver(1) · ruby(1) · jit(1) · long-context(1) · context management(1) · llm agents(1) · reasoning(1) · inference scaling(1) · model routing(1)
🤖 AI / ML
1. Anthropic confidentially submits draft S-1 to the SEC
Anthropic confidentially submits draft S-1 to the SEC — Hacker News · 8 小时前 · ⭐ 27/30
Anthropic confidentially submits draft S-1 to the SEC
🏷️ Anthropic, IPO, S-1, AI company
2. Learning Agent-Compatible Context Management for Long-Horizon Tasks
Learning Agent-Compatible Context Management for Long-Horizon Tasks — arXiv AI · 20 小时前 · ⭐ 26/30
Learning Agent-Compatible Context Management for Long-Horizon Tasks
🏷️ long-context, context management, LLM agents, reasoning
3. UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling — arXiv AI · 20 小时前 · ⭐ 26/30
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
🏷️ inference scaling, model routing, LLM, optimization
4. COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models — arXiv AI · 20 小时前 · ⭐ 26/30
COFT: Counterfactual-Conformal Decoding for Fair Chain-of-Thought Reasoning in Large Language Models
🏷️ chain-of-thought, bias mitigation, LLM, fairness
5. Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines — arXiv AI · 20 小时前 · ⭐ 26/30
Steering LLMs? Actually, Sparse Autoencoders can outperform simple baselines
🏷️ Sparse Autoencoders, LLM steering, interpretability, model analysis
6. Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models
Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models — arXiv AI · 20 小时前 · ⭐ 26/30
Shared Doubt: Zero-shot Cross-Lingual Confidence Estimation for Language Models
🏷️ confidence estimation, cross-lingual, LLM, zero-shot
7. What changes after deployment? A survey on On-device Learning in TinyML
What changes after deployment? A survey on On-device Learning in TinyML — arXiv AI · 20 小时前 · ⭐ 26/30
What changes after deployment? A survey on On-device Learning in TinyML
🏷️ on-device learning, TinyML, deployment, distribution shift
8. Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful — arXiv AI · 20 小时前 · ⭐ 26/30
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
🏷️ chain-of-thought, faithfulness, LLM, reasoning bias
9. HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs — arXiv AI · 20 小时前 · ⭐ 26/30
HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs
🏷️ LLM, mathematical reasoning, verification, formal methods
10. From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View — arXiv AI · 20 小时前 · ⭐ 26/30
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
🏷️ hallucination detection, out-of-distribution detection, geometric analysis, LLM
11. Reliable Self-Improvement Training by Verifying Reasoning, Not Just Answers
Reliable Self-Improvement Training by Verifying Reasoning, Not Just Answers — arXiv AI · 20 小时前 · ⭐ 26/30
Reliable Self-Improvement Training by Verifying Reasoning, Not Just Answers
🏷️ self-improvement, reasoning verification, training, LLM
🔒 安全
12. Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts
Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts — krebsonsecurity.com · 7 小时前 · ⭐ 27/30
Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts
🏷️ Meta, Instagram, account hijacking, AI bot vulnerability
13. The Surface You Test Is Not the Surface That Breaks
The Surface You Test Is Not the Surface That Breaks — arXiv AI · 20 小时前 · ⭐ 26/30
The Surface You Test Is Not the Surface That Breaks
🏷️ prompt injection, LLM agent, security vulnerability, tool-augmented
⚙️ 工程
14. Checking assembly with Z3
Checking assembly with Z3 — bernsteinbear.com · 1 天前 · ⭐ 26/30
Checking assembly with Z3
🏷️ Z3, SMT solver, Ruby, JIT
🛠 工具 / 开源
15. dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Development and Deployment
dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Development and Deployment — arXiv AI · 20 小时前 · ⭐ 26/30
dashi: A Python library for Dataset Shift Characterization to Support Trustworthy AI Development and Deployment
🏷️ dataset shift, trustworthy AI, Python, ML deployment
生成于 2026-06-02 00:57 | 扫描 130 源 → 获取 6562 篇 → 精选 15 篇
基于 Hacker News Popularity Contest 2025 RSS 源列表,由 Andrej Karpathy 推荐
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