本节目回顾了上周的重要AI新闻，包括Cloudflare的新AI数据抓取阻止功能、Meta在超级智能实验室的积极招聘、Anthropic失去重要人才到Cursor以及百度和腾讯的开源AI模型发布等。节目还讨论了AI在各个领域的应用，如教育、游戏开发、经济影响等，并探讨了AI模型的研究进展和政策安全问题。

🌫 Cloudflare推出默认阻止AI数据抓取功能，旨在保护用户隐私和数据安全。该功能可能对AI模型的训练和数据收集产生重大影响，同时也带来了技术挑战。

🤖 Meta积极招聘其超级智能实验室人才，包括来自OpenAI等领域的专家。这表明AI领域的竞争日益激烈，各大公司都在争夺顶尖人才以推动AI技术的发展。

💼 Anthropic因Cursor而失去重要人才，并推出新经济未来计划，关注AI对劳动力市场的影响。随着AI技术的不断发展，就业市场将面临重大变革，需要新的政策和措施来应对。

🔍 百度和腾讯发布开源AI模型，包括ERNIE 4.5和Hunyuan-A13B等。这些模型在性能和功能上都有显著提升，为AI研究和应用提供了更多可能性。

📚 节目还讨论了AI在教育、游戏开发等领域的应用，以及AI模型的研究进展和政策安全问题。AI技术正在改变我们的生活和工作方式，需要更多的关注和讨论。

Our 215th episode with a summary and discussion of last week's big AI news!
Recorded on 07/04/2025

Hosted by Andrey Kurenkov and Jeremie Harris.
Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai

In this episode:

Cloudflare's new AI data scraper blocking feature, its potential implications, and technical challenges

Meta's aggressive recruitment for its Super Intelligence Labs division is covered, highlighting key hires from OpenAI and other leaders in the field

Anthropic loses significant talent to Cursor, with details on their new economic futures program focusing on AI's impact on the labor market

Notable open-source AI model releases from Baidu and Tencent are also discussed, including their performance metrics and potential applications.

Timestamps + Links:

(00:00:11) Intro / Banter

(00:01:43) News Preview

Tools & Apps

(00:02:55) Cloudflare Introduces Default Blocking of A.I. Data Scrapers

(00:05:44) Runway is going to let people generate video games with AI

(00:11:24) Google embraces AI in the classroom with new Gemini tools for educators, chatbots for students, and more

(00:16:23) No one likes meetings. They’re sending their AI note takers instead.

(00:18:08) Google launches Doppl, a new app that lets you visualize how an outfit might look on you

(00:19:14) Google's Imagen 4 text-to-image model promises 'significantly improved' boring images

Applications & Business

(00:22:18) Mark Zuckerberg announces his AI ‘superintelligence’ super-group

(00:29:35) Anthropic Revenue Hits $4 Billion Annual Pace as Competition With Cursor Intensifies

(00:35:10) As job losses loom, Anthropic launches program to track AI’s economic fallout

(00:38:04) OpenAI says it has no plan to use Google's in-house chip

(00:41:08) Nvidia stakes new startup that flips script on data center power

(00:44:11) TSMC Arizona Chips Are Reportedly Being Flown Back to Taiwan For Packaging; U.S. Semiconductor Supply Chain Still Remains Dependent on Taiwan

Projects & Open Source

(00:46:57) Baidu releases open source model family ERNIE 4.5

(00:51:55) Tencent Open Sources Hunyuan-A13B: A 13B Active Parameter MoE Model with Dual-Mode Reasoning and 256K Context

(00:57:09) Together AI Releases DeepSWE: A Fully Open-Source RL-Trained Coding Agent Based on Qwen3-32B and Achieves 59% on SWEBench

(01:00:11) GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

(01:04:10) DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Research & Advancements

(01:06:21) Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search

(01:13:07) The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements

(01:18:04) Claude 4 Opus and Sonnet reach 50%-time-horizon point estimates of about 80 and 65 minutes, respectively

(01:21:37) Performance Prediction for Large Systems via Text-to-Text Regression

(01:25:38) Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

(01:26:33) Correlated Errors in Large Language Models

Policy & Safety

(01:29:04) Forecasting Biosecurity Risks from LLMs

(01:36:06) AI Task Length Horizons in Offensive Cybersecurity

(01:42:30) Inside Tech's Risky Gamble to Kill State AI Regulations for a Decade

(01:52:56) Denmark to tackle deepfakes by giving people copyright to their own features