AI Summarized Hacker News

Front-page articles summarized hourly.

Cl-kawa: Scheme on Java on Common Lisp

cl-kawa lets you interoperate Scheme, Java, and Common Lisp in a single SBCL process. It runs Kawa Scheme on the JVM via OpenLDK, enabling evaluation of Scheme from CL, calling Scheme from CL, and exchanging basic values across boundaries without serialization. It's a technology demonstration, not production-ready. Prereqs: SBCL, Java 8/rt.jar, Kawa 3.1.1, and OpenLDK. Provides API: kawa:startup, kawa:eval, kawa:lookup, kawa:funcall, kawa:register, and conversions between CL and Java/Kawa types. Includes examples like a three-language Hello World.

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Show HN: Context Mode – 315 KB of MCP output becomes 5.4 KB in Claude Code

Context Mode is an MCP server that sits between Claude Code and external tools to compress large outputs before they enter the context window. It reduces 100+ KB outputs to a few KB (e.g., 315 KB → 5.4 KB; 98–99% saved) by sandboxing tool executions and only passing summaries to the model. It provides batch_execute, execute, execute_file, index/search (SQLite FTS5 with BM25), fetch_and_index, and a stats feed; supports 10 runtimes, automatic Bun detection, and credential passthrough. It also offers subagent routing to prefer batching and follow-up searches. Install via /plugin marketplace add mksglu/claude-context-mode.

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Georgian wine culture dates back, uninterrupted, approximately 8k years

Georgian wine spans about 8,000 years of history, at Europe–Asia’s crossroads, blending modern methods with ancient traditions. The standout is qvevri fermentation and aging in clay vessels—UNESCO recognized this Intangible Cultural Heritage in 2013. Amber wines, made from white grapes in contact with skins, are a distinctive category with introductory, full-on, and amber‑oak styles. Georgia has around 500 indigenous varieties (45 used commercially; ~75% white, 25% black). Notable whites include Rkatsiteli and Tsitska; blacks include Saperavi. Main regions Kakheti, Imereti, Kartli, and Racha; nearly 2,000 wineries. GAUMARJOS! Lasha Tsatava, DipWSET, champions Georgian wine.

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What Happened to Fry's Electronics

Fry’s Electronics was a large computer-store chain started in 1985 from the Fry family grocery business, peaking at 34 stores and aiming to be an IKEA-like destination for PC parts. It suffered from poor customer service, slow online adoption, and competition from online retailers. In 2008, VP Ausaf Siddiqui embezzled about $65–87 million, leading to lawsuits and his 2011 prison sentence, though the chain endured. By moving to consignment, suppliers balked and shelves emptied. It began closing in 2019; the last stores and online shop closed Feb 24, 2021 (assets liquidated April 2).

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Code has always been the easy part

Code has long been the easy part; at Etsy a PHP standardization unlocked success, shifting focus to the value of systems and human-technology collaboration. The post argues hiring used to be awful because teams chased ‘elegant’ code rather than product delivery. Now AI and cheap code drive inevitable change, forcing rethinking of social contracts and team structures. Past tech shifts (web, CI/CD, mobile, ML) disrupted collaboration, and leaders must creatively blend humans rather than exclude them. While wary of AI hype and capital’s amoral uses, the real shift is code cost falling toward zero, which isn’t the hard part.

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US Military leaders meet with Anthropic to argue against Claude safeguards

US defense leaders pressed Anthropic to loosen Claude safeguards, threatening penalties if demands aren’t met by Friday. Anthropic, marketing itself as safety-forward, resisted broad military uses such as mass surveillance or autonomous weapons. The DoD has integrated Claude but warned it could sever the relationship and cancel contracts, potentially branding Anthropic a “supply chain risk.” Before this week, Claude was the sole model used in classified military systems; the DoD recently authorized an xAI deployment for classified work, while OpenAI reportedly agreed to government terms for “all lawful purposes.” The standoff highlights tensions over AI in military use.

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Capybara: A Unified Visual Creation Model

Capybara is a unified visual creation model for high-quality generation and editing across Text-to-Image, Text-to-Video, and instruction-based Image-Video tasks (TI2I, T2I, T2V, TV2V) using diffusion and transformers with precise control over content, motion, and camera. It offers multi-task support, distributed multi-GPU inference, and ComfyUI integration. The repo provides installation steps (Anaconda, CUDA 12.6, Python 3.11), model components under ckpts/, Quick Start instructions for single-sample and batch CSV modes, FP8 quantization, and MIT license.

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Anthropic Drops Flagship Safety Pledge

Anthropic is abandoning the core pledge of its Responsible Scaling Policy to never train models unless safety can be guaranteed in advance. The revamped policy drops the unconditional pause, arguing delaying training won’t help and safety research must adapt to rapid AI progress. It introduces Frontier Safety Roadmaps and regular Risk Reports, pledges to match or exceed competitors’ safety efforts, and allows delaying development if Anthropic leads the race and catastrophe risk is high. Critics warn of a potential “frog‑boiling” risk as thresholds loosen.

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Amazon Busted for Widespread Scheme to Inflate Prices Across the Economy

California Attorney General Rob Bonta filed for a temporary injunction against Amazon, alleging a widespread price‑fixing scheme that inflates prices across the economy. He claims Amazon uses its bargaining power to force vendors to raise prices or pull products from competing sites, and coordinates with other online retailers through a hub‑and‑spoke/vertical price‑fixing framework. The scheme leverages the Buy Box and Fulfillment by Amazon to reward Prime‑eligible sellers, keeping prices high even off Amazon. Bonta’s complaint outlines three methods: pressuring vendors to raise prices, stopping discounts, and blocking cheaper sales outside Amazon. If granted, the injunction would curb Amazon before trial.

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Justifying Text-Wrap: Pretty

The post discusses Safari's 2025 introduction of text-wrap: pretty to balance line lengths, moving beyond greedy wrapping. In web contexts widths are dynamic, making online line breaking harder than TeX's offline DP. While text-wrap aims to place breaks near a target width, combining it with text-align: justify can produce excessive inter-word spacing and ugliness. The DP scores lines by closeness to the target and caps line length to prevent overflow, often causing under- or overshoot. The author calls for a fix to harmonize pretty wrapping with justification.

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Corgi Labs (YC W23) Is Hiring

Corgi Labs is hiring Founder's Associates (two roles: US and Singapore) to work closely with founders, bringing structure to chaos and owning end-to-end operations. The full-time position offers $3,000–$4,500/month and 0.10–0.20% equity, located in San Francisco or Singapore. Responsibilities include founder support, tracking priorities and deadlines, cross-functional coordination with internal teams and external partners, and implementing lightweight processes. Ideal candidate is reliable, detail-oriented, calm under ambiguity, and a generalist across ops, admin, and people tasks. Corgi Labs builds explainable AI to improve payment acceptance and fraud prevention.

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Aesthetics of single threading

The piece argues that real work isn’t multitasking but rapid context switching, which wastes energy and creates burnout—like thrashing in computing. While we optimize with asynchronous processes, true depth comes from blocking attention and treating a task as a single thread. The author illustrates this through a weekend espresso ritual, deep listening, and the wish to strip away background processes until only one function runs at a time. Yet inevitability looms: modern life drags us back into multitasking. Still, a single-thread mindset remains an alluring ideal and a 'main()' for one thing at a time.

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Mercury 2: The fastest reasoning LLM, powered by diffusion

Mercury 2 is Inception’s diffusion-based, real-time reasoning LLM designed for production latency. It generates tokens in parallel via iterative refinement, delivering >1000 tokens/sec on NVIDIA Blackwell GPUs. Price: $0.25/1M input tokens and $0.75/1M output tokens. Features include tunable reasoning, 128K context, native tool use, and schema-aligned JSON output. Targets latency-sensitive apps: coding/editing, agentic pipelines, real-time voice, and multi-hop search/RAG. OpenAI API compatible and available now, with enterprise evaluation options.

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Fed's Cook says AI triggering big changes, sees possible unemployment rise

Could not summarize article.

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Stripe reportedly makes offer to acquire PayPal

Could not summarize article.

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The history of knocking on wood

Benjamin Breen uses knocking on wood to explore gesture as a boundary between nature and nurture. He surveys cross‑cultural variants and sparse written evidence, skeptical of ancient origins or a single source, and, with data visualization, identifies two linked traditions—wood and iron—centered around the Mediterranean, likely rooted in ancient apotropaic practices rather than a 19th‑century English game. He argues most gesture is tacit, embodied knowledge humans carry, which AI cannot fully learn, and urges historians to participate in technical debates about future technologies.

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Cell Service for the Fairly Paranoid

Cape is a privacy-first mobile carrier that minimizes data collection and deletes data quickly. It offers IMSI rotation, two free secondary numbers, last-mile encrypted texting, encrypted voicemail, private payment, SIM swap protection, and network lock. It includes secure global roaming in 50+ countries with 5GB/month and unlimited talk/text/data with throttling after 50GB; no contract. A $30 first-month trial (TRYCAPE30) auto-renews at $99/month. Partnerships with Proton and support for GrapheneOS; bring-your-own-device or Pixel/GrapheneOS devices; referrals can cut bills.

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We Are Changing Our Developer Productivity Experiment Design

METR is changing its developer productivity experiment design after a second study (Aug 2025) with 57 developers across 143 repos and 800+ tasks. The 2025 work found AI tools slowed tasks by 19% in the original study, while the newer results for later participants show speedups of -18% and -4%, but selection effects—more developers opting out without AI and a lower pay rate ($50/h vs $150/h)—and timing/multi-agent measurement issues likely make the estimates unreliable and possibly biased downward. Plan: shorter, intensive experiments; fixed-task designs; developer-level randomization; more observational data, surveys, evaluations, and alternative measures.

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Show HN: Recursively apply patterns for pathfinding

Could not summarize article.

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Optophone

It instructs to set a user-agent and respect the robots policy, with links to w.wiki/4wJS and Wikimedia Phabricator ticket T400119.

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