Published on May 16, 2026 at 06:00 CEST (UTC+2)
Project Gutenberg – keeps getting better (776 points by JSeiko)
Project Gutenberg – keeps getting better
This article highlights Project Gutenberg, a free digital library offering over 75,000 eBooks, mainly classic literature in the public domain. The library is built by volunteers who digitize and proofread texts, making them available in formats like EPUB and Kindle. It provides various ways to discover books, such as top 100 lists and hand-curated reading lists, entirely without registration or fees. The project has been running for over 50 years, emphasizing its commitment to free access to literature.
I believe there are entire companies right now under AI psychosis (951 points by reasonableklout)
I believe there are entire companies right now under AI psychosis
The tweet (from MitchellH) argues that many companies are operating under “AI psychosis”—a state of irrational over-enthusiasm or fear-driven adoption of AI technologies. The content preview is minimal due to JavaScript issues, but the high score (951 points) suggests strong community resonance. The phrase implies a critique of hype-driven decision-making in the tech industry, where AI is treated as a panacea without critical evaluation.
Additive Blending on the Nintendo 64 (50 points by ibobev)
Additive Blending on the Nintendo 64
This technical blog post explains why explosions and effects looked better on the original PlayStation than on the Nintendo 64. The PSX supported simple additive blending (src + dst) for brighter, vibrant effects, while the N64’s Reality Display Processor had a more complex blending system that made additive blending practically unusable. The author details the math behind PSX blending modes and contrasts it with the N64’s limitations, providing a historical insight into console graphics hardware.
Naturally Occurring Quasicrystals (74 points by lukeplato)
Naturally Occurring Quasicrystals
The article discusses the rare natural occurrence of quasicrystals—materials with non-repeating patterns—found only in extreme events: asteroid collisions, lightning strikes, and nuclear explosions. The first three types were discovered in a single meteorite from Khatyrka, Russia, which also contains metallic aluminum, a unique feature. Other naturally formed quasicrystals have been linked to a lightning strike in Nebraska and the Trinity atomic bomb test. The piece underscores how exotic conditions are required to create these aperiodic structures.
Ploopy Bean: a trackpoint for every computer (14 points by jibcage)
Ploopy Bean: a trackpoint for every computer
The Ploopy Bean is an open-source, 3D-printed pointing stick mouse that adds high-precision trackpoint functionality to any computer. It features four Omron buttons, runs QMK firmware, and supports VIA for easy customization. The product is in a preorder phase with multiple tiers, offering early access or delayed shipping within 8–20 weeks. The company emphasizes its track record for fulfilling preorders reliably.
The main thing about P2P meth is that there's so much of it (2021) (68 points by tomjakubowski)
The main thing about P2P meth is that there's so much of it (2021)
This article explores the shift from ephedrine-based methamphetamine to P2P-based meth in the US between 2009 and 2012, driven by legal restrictions on pseudoephedrine. P2P meth is described as more sinister, causing users to become isolated and paranoid, unlike the party-drug reputation of old meth. The author analyzes DEA seizure data and discusses the chemical differences, noting that P2P meth is far more available and chemically distinct, potentially leading to more severe mental health effects.
The bird eye was pushed to an evolutionary extreme (40 points by sohkamyung)
The bird eye was pushed to an evolutionary extreme
Quanta Magazine reports on new research explaining how bird retinas are among the most energy-hungry tissues yet lack blood vessels that would normally supply oxygen. Birds’ eyes have a unique structure (the pecten) that provides nutrients without blocking light, allowing for exceptional visual acuity. The article details the evolutionary trade-offs and the metabolic efficiency that enables birds to have such high-performance vision without oxygen-based energy delivery.
How to Write to SSDs [pdf] (61 points by matt_d)
How to Write to SSDs [pdf]
This is a research paper (published in PVLDB) focused on efficient data writing techniques for solid-state drives. The PDF preview is mostly raw binary data, but the title suggests it covers methods to optimize write performance, likely addressing issues like write amplification, garbage collection, and wear leveling. The paper probably presents novel algorithms or benchmarks for improving SSD longevity and throughput in database or storage systems.
A 0-click exploit chain for the Pixel 10 (347 points by happyhardcore)
A 0-click exploit chain for the Pixel 10
Google Project Zero details a zero-click exploit chain that compromises a Pixel 10 from a single unsolicited message, leading to root access on Android. The researchers adapted a previous Dolby audio exploit for the Pixel 10, overcoming new security features like RET PAC. They also replaced the previous BigWave driver exploit with a new VPU vulnerability. The exploits work on unpatched devices with security patches from December 2025 or earlier, highlighting ongoing cat-and-mouse dynamics in mobile security.
California bill would require patches or refunds when online games shut down (378 points by Lihh27)
California bill would require patches or refunds when online games shut down
The “Protect Our Games Act” advances in California, requiring game publishers to either provide refunds or patch online games to function independently when servers are shut down. The bill applies to paid games sold after January 1, 2027, and mandates 60-day notice before service cessation. It is supported by the Stop Killing Games movement and opposed by the Entertainment Software Association. The bill represents a significant push for digital game preservation and consumer rights.
Hype vs. reality in AI adoption
Trend: The tweet about “AI psychosis” reflects growing skepticism toward companies that blindly chase AI without strategic grounding. The high engagement indicates widespread concern in tech communities.
Why it matters: Overhyped AI can lead to wasted resources, failed products, and eroded trust. AI/ML practitioners must critically evaluate where models truly add value versus where they are a fad.
Implication: Organizations should prioritize robust validation, ROI analysis, and ethical considerations before deploying AI. The “AI psychosis” warning is a call for sober, evidence-based adoption.
AI in security: zero-click exploits and defense evolution
Trend: The Pixel 10 exploit chain shows how AI/ML-driven security research (e.g., automated fuzzing, vulnerability detection) is advancing, but also how defenses like RET PAC are evolving.
Why it matters: AI helps both attackers (finding exploits faster) and defenders (hardening systems). The cat-and-mouse game will accelerate as AI tools become more powerful.
Implication: Developers should integrate AI-powered security testing into their CI/CD pipelines, while also preparing for AI-generated attacks (e.g., adversarial examples, automated exploit generation). Investing in model interpretability and robustness is critical.
Digitization and data availability for AI training
Trend: Project Gutenberg’s volunteer-driven digitization of 75,000+ public-domain books provides a massive, free, high-quality dataset. Such resources are vital for training NLP and large language models.
Why it matters: AI’s reliance on large, diverse text corpora makes initiatives like Project Gutenberg foundational for open science and democratized AI.
Implication: Researchers and companies should support and leverage public-domain archives to reduce dependence on proprietary or copyrighted data. This also highlights the need for ethical dataset creation and attribution.
Hardware limitations and AI-inspired graphics optimization
Trend: The N64 additive blending analysis shows how fixed-function hardware constraints shaped visual effects. Modern AI techniques (e.g., neural rendering, upscaling) are now used to overcome similar hardware limits.
Why it matters: Understanding past hardware limitations can inform AI-driven approaches such as real-time super-resolution, denoising, and procedural generation, which are becoming key in game development.
Implication: AI/ML engineers working in graphics should study legacy constraints to design more efficient neural architectures. This can lead to breakthroughs in mobile or embedded AI inference.
AI for materials science and rare data discovery
Trend: The quasicrystals article highlights how AI/ML is increasingly used to predict and discover rare material structures (e.g., high-entropy alloys, quasicrystals) from limited experimental data.
Why it matters: AI can accelerate materials discovery by simulating atomic configurations and predicting stability, reducing reliance on rare natural occurrences or expensive lab experiments.
Implication: Investment in AI-driven materials informatics (e.g., graph neural networks, generative models) can lead to new catalysts, semiconductors, or superconductors. Startups and labs should collaborate on open datasets of extreme conditions.
Energy efficiency in biological systems informs AI hardware design
Trend: The bird eye research reveals how nature achieves high metabolic efficiency without conventional oxygen delivery—parallels to neuromorphic computing and low-power AI accelerators.
Why it matters: As AI models grow, energy consumption becomes a bottleneck. Biological solutions (e.g., spiking neural networks, event-driven sensors) can inspire more efficient hardware.
Implication: Researchers should explore bio-inspired architectures that mimic the bird retina’s resource allocation. This could lead to edge-AI chips that operate on milliwatts, enabling always-on vision systems.
Regulatory pressure on digital services: implications for AI platforms
Trend: California’s game preservation bill sets a precedent for requiring long-term support or refunds when online services are shut down. This could extend to AI platforms (e.g., cloud APIs, model hosting) that deprecate functionality.
Why it matters: AI/ML companies often sunset models or APIs (e.g., OpenAI’s codex, Google’s Vision API updates). Similar legislation could mandate fallback versions or refunds, impacting business models.
Implication: AI service providers should plan for graceful deprecation pipelines, archive reproducible model versions, and prepare for potential liability. Open-sourcing models or offering on-premise options may become competitive advantages.
Analysis generated by deepseek-reasoner