Key idea: Ghostty, a terminal emulator, is migrating away from GitHub due to concerns over its reliability, governance, and cultural shift since Microsoft’s acquisition.
Discussion highlights: The post sparked reflection on GitHub’s decline in service quality and developer trust, with users citing frequent outages, Copilot prioritization, and organizational drift. Some criticized the emotional attachment to a proprietary platform, arguing that reliance on non-free tools inherently risks such breakups.
Community sentiment: Mixed—sympathetic to the developer’s personal connection to GitHub but broadly critical of its current trajectory. Many agreed GitHub has deteriorated, though some dismissed the move as performative without embracing self-hosted or decentralized alternatives.
Key idea: Zed, a modern code editor built in Rust, launched version 1.0 with features like real-time collaboration, AI integration, and seamless remote development.
Discussion highlights: Users praised its speed, unified interface, and SSH remote workflows, with many switching from JetBrains and Sublime. Criticism focused on overly aggressive linting for legacy code, lack of a telescope-style search, and concerns over its license permitting Zed to use customer data.
Community sentiment: Largely positive, with strong admiration for technical execution. However, licensing terms and minor UX gaps sparked debate, and some expressed interest in integrating Ghostty’s terminal backend for improved performance.
Key idea: A critical Linux kernel vulnerability (CVE-2026-31431) in the AF_ALG crypto interface allows local privilege escalation via the "authencesn" algorithm.
Discussion highlights: Kernel developers criticized AF_ALG as an over-complex, under-reviewed API that exposes unnecessary attack surface. Mitigation advice includes disabling CONFIG_CRYPTO_USER_API_* options. Some noted vendors (Red Hat, Debian) downgraded severity and delayed patches.
Community sentiment: Alarm among security experts, who argue AF_ALG should be deprecated. Frustration surfaced over inconsistent vendor responses and lack of clear patch versioning in initial disclosures.
Key idea: Texas Instruments released the TI-84 Evo, a graphing calculator with a 156MHz ARM CPU, replacing the decades-old Z80 architecture.
Discussion highlights: Enthusiasts welcomed the hardware upgrade but questioned the educational value of proprietary calculators. Many shared personal stories of early programming experiences on TI devices, while others criticized TI’s market dominance and high pricing in schools.
Community sentiment: Nostalgic yet critical—developers appreciated the engineering leap, but widespread skepticism remains about the necessity and ethics of mandated calculator purchases.
5. VS Code inserting 'Co-Authored-by Copilot' into commits regardless of usage (416 comments)
Key idea: VS Code automatically added "Co-Authored-by Copilot" to all commits by default, even when AI wasn’t used, sparking backlash over data integrity.
Discussion highlights: Users condemned the move as a marketing-driven violation of commit history’s legal and technical significance. A Microsoft engineer apologized and reverted the default, acknowledging flaws in implementation and oversight.
Community sentiment: Highly critical, with accusations of Microsoft eroding trust. The incident reignited skepticism about corporate AI integration and its impact on open-source norms.
6. AI uses less water than the public thinks (376 comments)
Key idea: AI’s water consumption is often overstated; data centers use far less water than agriculture or municipal needs, especially when compared per useful output.
Discussion highlights: Some challenged the narrative, citing lawsuits revealing Google’s undisclosed water use (2–8M gallons/day). Others argued comparisons should be with discretionary urban uses (e.g., car washes), not survival needs.
Community sentiment: Divided—some found the article reassuring, others saw it as downplaying localized impacts. Consensus emerged that transparency from tech firms is lacking.
7. Can I disable all data collection from my vehicle? (344 comments)
Key idea: Modern EVs collect extensive user data, and disabling it often limits critical functions like OTA safety updates.
Discussion highlights: Mozilla’s privacy review revealed disturbing data categories (e.g., “sexual activity”) collected by Nissan and Kia. Users questioned whether OTA-only recalls truly meet regulatory “remedy” requirements.
Community sentiment: Deep concern over privacy and national security risks, especially with foreign-made EVs. Many worried about irreversible dependency on proprietary systems with no offline update fallback.
8. Talkie: a 13B vintage language model from 1930 (326 comments)
Key idea: Talkie is a language model fine-tuned to simulate how someone in 1930 would answer questions, blending historical knowledge with period-typical reasoning.
Discussion highlights: Users found it charming but unreliable—early responses often reflected pre-1900 knowledge, and it drifted into plausible-sounding falsehoods. It confidently misstated basic physics and ignored events like the Great Depression.
Community sentiment: Amused but cautious. Seen as a creative experiment, but a warning against trusting AI for historical or factual accuracy without verification.
9. Ask HN: Who wants to be hired? (May 2026) (318 comments)
Key idea: Monthly thread where developers and engineers seek remote or relocation-friendly roles, emphasizing full-stack, AI, and infrastructure skills.
Discussion highlights: Profiles spanned senior engineers in LATAM, Korea, and Brazil, with strong demand for TypeScript, Go, Kubernetes, and AI/ML systems. Several highlighted solo-engineer achievements in AI product development.
Community sentiment: Active engagement, with many offering referrals or follow-up questions. Emphasis on technical depth and real-world delivery stood out, especially in AI and distributed systems.
10. Ask HN: Who is hiring? (May 2026) (316 comments)
Key idea: Companies post job openings ranging from robotics and biotech to decentralized tech and hardware.
Discussion highlights: Roles included generalist engineers for mosquito control tech, robotics software developers in Amsterdam, and RISC-V CPU architects. FUTO emphasized anti-centralization missions, hiring for stealth hardware and open-source projects.
Community sentiment: Positive response to mission-driven startups. Interest peaked in robotics and sustainability roles, though some questioned the feasibility of fully autonomous construction systems.
11. DeepSeek V4—almost on the frontier (314 comments)
Key idea: DeepSeek V4, a Chinese LLM, offers high performance at low cost, with strong reasoning and a high API cache hit rate.
Discussion highlights: Users reported success in code analysis and reverse engineering tasks where GPT and Claude refused. Cost efficiency stood out—complex tasks cost under $0.10. However, some noted factual inaccuracies, like revealing spoilers despite user instructions.
Community sentiment: Generally favorable, especially among developers seeking affordable, capable models. Privacy and geopolitical concerns were raised but not dominant.
12. Spotify adds 'Verified' badges to distinguish human artists from AI (299 comments)
Key idea: Spotify introduced “Verified” badges to label human artists, aiming to increase transparency amid rising AI-generated music.
Discussion highlights: Skepticism emerged that the move is more about scam prevention than AI labeling. Some believe Tencent, Spotify’s investor, benefits from AI music due to higher margins. Generational divide anticipated in AI music acceptance.
Community sentiment: Cynical—many see it as a superficial gesture. Artists fear devaluation, while others argue AI music lacks emotional depth and replay value.
13. Why does it take so long to release black fan versions? (288 comments)
Key idea: Noctua explains the engineering challenges in producing black versions of its fans, involving tight tolerances in injection molding to minimize airflow leakage.
Discussion highlights: The post was praised as insightful marketing, revealing the complexity behind seemingly simple products. Users appreciated the focus on precision engineering and durability.
Community sentiment: Positive and respectful. Many admired Noctua’s commitment to quality, with calls for applying similar standards to household appliances.
14. California to begin ticketing driverless cars that violate traffic laws (266 comments)
Key idea: California will issue traffic tickets to autonomous vehicles, holding operators accountable for violations.
Discussion highlights: Debate centered on accountability—whether fines should be per incident or based on violation thresholds. Some argued tickets miss the point if violations are systemic or due to flawed regulations.
Community sentiment: Supportive in principle, but skeptical of enforcement efficacy. Users wanted stricter penalties for repeat or dangerous behavior, not just fines.
15. New research suggests people can communicate and practice skills while dreaming (258 comments)
Key idea: Emerging studies indicate people can learn, solve problems, and even communicate during lucid dreaming.
Discussion highlights: Many shared anecdotes of solving coding bugs, math problems, or security flaws in dreams. Skepticism arose over “communication” claims, with calls for clarity on inter-dreamer or awake-dreamer interaction mechanisms.
Community sentiment: Intrigued but cautious. The phenomenon is widely experienced, but scientific validation and practical application remain unclear.
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