AI companies destroy physical books – let's scan rare books before it's too late
Top Hacker News discussion.
annas-archive
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Friday, August 21, 2026
Feature
AI Firms Secretly Destroy Books to Control Training Data Access
Amid a global AI race, companies are buying, scanning, and destroying books to monopolize knowledge.
Why it mattersThe destruction of physical books by AI companies highlights a critical tension in AI development: the drive for exclusive training data versus the ethical obligation to preserve public access to knowledge. This raises urgent challenges in data ethics and cultural preservation.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
AI's Impact on Creativity
I make full 10-minute YouTube documentaries from one prompt while I'm at the gym. Full system below, prompts included, free.
A year ago a 45-second AI short was costing me around $15 once you counted all the failed attempts. Now one text prompt gives me a finished 10-minute history documentary: script, voiceover, ~95 scenes, animation, final…
r/nocode
AI Agents: The Good and Bad
Nvidia AVO scores 100% on the ARC-AGI-3 interactive reasoning benchmarktwitter
Top Hacker News discussion.
The quiet regressions are the real cost of building agents on someone else's model
I pay for the top tier on more than one provider and I build workflows on top of them. The thing nobody warns you about is not the price or the rate limits you can see. It is the quiet regression. You wire an agent arou…
r/AI_Agents
75x the PR throughput of Google AX? That sounds wild.
Came across this comparison while reading about agent runtimes. It claims Kungfu produced PRs at roughly 75 times the rate of Google AX based on public GitHub activity. PR count can be affected by automation, PR size, c…
r/AI_Agents
Tools
DietrichGebert/ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 107,207
nexu-io/open-design
🎨 Best DeepSeek Harness Design Plugin. The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landin…
github | stars 90,073
Build
Navigating AI overenthusiasm in financial services
Navigating AI overenthusiasm in financial services
thoughtworks
Why DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different Ways
In this article, we will walk through their differing solutions and try to make sense of their choices and understand the pattern behind them.
blog.bytebytego
Research
Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents
Large language model (LLM) agents can induce skills from completed tasks and reuse them later to grow more capable with experience. In practice, induced skills may transfer unreliably and can even harm the agent that re…
arxiv
Projecting BrowseComp-Plus onto ClimbMix: Toward More Realistic Corpora for Agentic Search
The BrowseComp-Plus benchmark disentangled the evaluation of agentic search by replacing opaque web search with a fixed corpus, so that an agent's role can be separated from the retriever's. That corpus, however, holds…
arxiv
Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation
Heterogeneous AI systems composed of multiple models, architectures, harnesses, or inference-time settings can improve quality and efficiency by routing queries to the specialist who can answer most effectively at the l…
arxiv
Playbooks
Test Agent Changes with LangSmith Preview Builds
Preview Builds let teams test pull request branches in temporary, production-like LangSmith deployments before merging agent changes.
langchain
Quantifying infrastructure noise in agentic coding evals
Infrastructure configuration can swing agentic coding benchmarks by several percentage points—sometimes more than the leaderboard gap between top models.\n\n
anthropic
The Revenge of the Data Scientist
img.img-fluid { border: 1px solid rgba(255, 255, 255, 0.25); border-radius: 4px; } Is the heyday of the data scientist over? The Harvard Business Review once called it “The Sexiest Job of the 21st Century.” 1 In tech, d…
hamel
News
Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-built AI agents handle discovery, infrastructure as code gen…
aws.amazon
Scaling agentic AI: Enterprise patterns without vendor lock-in
Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series, we examine how ML teams operate many agentic AI systems a…
aws.amazon