Ben Thompson: Anthropic, the Pentagon, and the Limits of Private Power
In this conversation, previously aired on TBPN, John Coogan and Jordi Hays speak with Ben Thompson, founder of Stratechery, about his essay "Anthropic and Alignment" and the broader collision between AI power and state power that the Anthropic–Department of War standoff revealed. Resources: Follow Ben Thompson on X: https:// twitter .com/benthompson Follow John Coogan on X: https:// twitter .com/johncoogan Follow Jordi Hays on X: https:// twitter .com/jordihays Follow TBPN on X: https://twitter.com/tbpn Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT b
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Own Your Data: The Wake-Up Call
Data plays a critical part in our lives. And with the rapid changes driven by the recent evolution of AI, owning your data is no longer optional! First , we need to answer the following question: "Is your data really safe?" On April 1st, 2026 , an article was published on the Proton blog revealing that Big Tech companies have shared data from 6.9 million user accounts with US authorities over the past decade. Read the full Proton research for more details. Read google's transparency report for user data requests for more details. On January 1st, 2026 , Google published its AI Training Data Transparency Summary it contains the following: This is Google basically saying: "We use your data to train our AI models, but trust us, we're careful about it." On November 24, 2025 , Al Jazeera publish
Claude Code subagent patterns: how to break big tasks into bounded scopes
Claude Code Subagent Patterns: How to Break Big Tasks into Bounded Scopes If you've ever given Claude Code a massive task — "refactor the entire auth system" — and watched it spiral into confusion after 20 minutes, you've hit the core problem: unbounded scope kills context . The solution is subagent patterns: structured ways to decompose work into bounded, parallelizable units. Why Big Tasks Fail in Claude Code Claude Code has a finite context window. When you give it a large task: It reads lots of files → context fills up It loses track of what it read first It starts making contradictory changes You hit the context limit mid-task The session crashes and you lose progress The fix isn't a bigger context window — it's smaller tasks. The Subagent Pattern Instead of one Claude session doing e
GR4AD: Kuaishou's Production-Ready Generative Recommender for Ads Delivers 4.2% Revenue Lift
Researchers from Kuaishou present GR4AD, a generative recommendation system designed for high-throughput ad serving. It introduces innovations in tokenization (UA-SID), decoding (LazyAR), and optimization (RSPO) to balance performance with cost. Online A/B tests on 400M users show a 4.2% ad revenue improvement. The Innovation — What the Source Reports A new technical paper on arXiv, "Generative Recommendation for Large-Scale Advertising," details a production-deployed system named GR4AD (Generative Recommendation for ADdvertising) from Kuaishou. The work addresses the core challenge of deploying generative recommendation—which uses sequence-to-sequence models to generate candidate items—in a real-time, large-scale advertising environment where latency and compute budgets are rigid constrai
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'Copilot is for entertainment purposes only': Even Microsoft's official terms and conditions say you really shouldn't be using its AI at work - TechRadar
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How I Replaced 6 Paid AI Subscriptions With One Free Tool (Saved $86/Month)
I was paying $86/month for AI tools. Then I found one free platform that replaced all of them. Here's the exact breakdown: The Tools I Cancelled Tool Cost What I Replaced It With ChatGPT Plus $20/mo Free GPT-4o on Kelora Otter.ai $17/mo Free audio transcription Jasper $49/mo Free AI text tools Total $86/mo $0 GPT-4o — Free Kelora gives direct access to GPT-4o, the same model inside ChatGPT Plus. No subscription, no credit card. I use it daily for code reviews, email drafts, and research summaries. Audio Transcription — Free Upload any audio file — meeting recordings, lectures, podcasts — and get accurate text back in seconds. Replaced my Otter.ai subscription instantly. AI Writing — Free Blog drafts, product copy, social posts. The text tools cover everything Jasper did for me at $49/month
GR4AD: Kuaishou's Production-Ready Generative Recommender for Ads Delivers 4.2% Revenue Lift
Researchers from Kuaishou present GR4AD, a generative recommendation system designed for high-throughput ad serving. It introduces innovations in tokenization (UA-SID), decoding (LazyAR), and optimization (RSPO) to balance performance with cost. Online A/B tests on 400M users show a 4.2% ad revenue improvement. The Innovation — What the Source Reports A new technical paper on arXiv, "Generative Recommendation for Large-Scale Advertising," details a production-deployed system named GR4AD (Generative Recommendation for ADdvertising) from Kuaishou. The work addresses the core challenge of deploying generative recommendation—which uses sequence-to-sequence models to generate candidate items—in a real-time, large-scale advertising environment where latency and compute budgets are rigid constrai
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