Published on May 26, 2026 at 06:00 CEST (UTC+2)
Using AI to write better code more slowly (250 points by signa11)
Using AI to write better code more slowly
The author argues against the common view that AI coding tools are only for rapidly producing low-quality code. Instead, they show how LLMs can be used deliberately to find subtle bugs and improve code quality, especially when combined with thorough validation. The post highlights that models from Anthropic and OpenAI are effective at uncovering bugs, but the challenge lies in prioritizing and verifying them. Ultimately, it advocates for a slower, more thoughtful use of AI to craft robust software.
Taking a walk may lead to more creativity than sitting, study finds (2014) (123 points by bilsbie)
Taking a walk may lead to more creativity than sitting, study finds (2014)
This APA press release summarizes research indicating that walking boosts creative thinking compared to sitting. The study found that participants generated more novel ideas while walking, both indoors and outdoors. The effect persisted even after returning to a seated position, suggesting that the act of walking itself, not the environment, enhances creativity. This has implications for workplace design and daily habits to foster innovation.
How Shamir's Secret Sharing Works (91 points by subract)
How Shamir's Secret Sharing Works
This article explains Adi Shamir’s 1979 cryptographic scheme for splitting a secret into pieces so that a threshold number of shares can reconstruct it, while fewer shares reveal nothing. Using the geometric analogy of points on a line, it shows how a secret hidden as the y-intercept can be recovered only when enough points (shares) are combined. The method is foundational for secure key management, multi-party authorization, and fault-tolerant backup systems.
Norway's 2 petabytes of Huawei flash storage and LLM training (188 points by rbanffy)
Norway's 2 petabytes of Huawei flash storage and LLM training
Norway’s National Library is building a sovereign Norwegian-language LLM, using 2 PB of Huawei OceanStor Dorado flash storage for its training data pipeline. The project addresses the gap left by English-centric commercial LLMs, which fail to capture Norway’s culture, history, and news. The library’s legal deposit mandate provides a rich corpus of books, newspapers, and web content, now permitted for LLM training through a press agreement.
Exit IP VPN servers mitigation rollout (295 points by Cider9986)
Exit IP VPN servers mitigation rollout
Mullvad VPN is deploying a mitigation measure on a set of its exit servers (listed by location) to address specific issues related to exit IP addresses. The page provides a list of affected servers, including locations in Australia, Canada, Germany, Finland, France, Ireland, Norway, Sweden, and the United States. The update is part of Mullvad’s ongoing efforts to maintain privacy and network integrity for users.
Ferrari Luce (113 points by jumploops)
Ferrari Luce
This appears to be a launch page for a new Ferrari model called “Luce.” While no content is available, the title suggests a luxury sports car announcement, likely focusing on design, performance, and exclusivity. No further details can be inferred.
Designing for and against the manufactured normalcy field (2012) (11 points by nvader)
Designing for and against the manufactured normalcy field (2012)
The article recounts a workshop at FOO Camp exploring Venkatesh Rao’s concept of the “manufactured normalcy field” – the tendency of people to minimally adjust their mental models to accommodate new technology. The author discusses how designers can work with or against this field to drive adoption or provoke deeper change. The piece also traces the idea’s influence, including its appearance in a Ze Frank show.
California moves to exempt Linux from its age-verification law after backlash (722 points by rbanffy)
California moves to exempt Linux from its age-verification law after backlash
After public backlash, California lawmakers proposed an amendment to exempt Linux and potentially other operating systems from a new age-verification law that would have required operating systems to collect users’ ages. The original law sparked concerns over privacy, surveillance, and the feasibility of enforcing age checks on open-source platforms. The amendment, introduced by the same lawmaker who wrote the original bill, aims to address these issues while maintaining the law’s intent for commercial platforms.
Squares in Squares (39 points by carlos-menezes)
Squares in Squares
This page likely discusses the mathematical problem of packing smaller squares inside a larger square, often for optimal layout or geometry puzzles. Without content, it can be assumed to explore known results, algorithms, or visualizations for minimal wasted space. Such packing problems have applications in logistics, screen design, and computational geometry.
Toshifumi Suzuki, founder of Seven-Eleven Japan, has died (149 points by L_Rahman)
Toshifumi Suzuki, founder of Seven-Eleven Japan, has died
This biographical entry covers the life and achievements of Toshifumi Suzuki, who introduced franchising to Japan and built Seven-Eleven Japan into a chain of over 10,000 stores. He later rescued the U.S. parent company and pioneered innovations in retail logistics and 24-hour operations. Suzuiki’s management philosophy emphasized conviction-based decision making and gradual modernization of Japan’s retail sector.
Shift from speed to quality in AI-assisted coding
The first article exemplifies a growing counter-trend: using LLMs not as “slop cannons” but as precision tools for code review, bug hunting, and careful refactoring. This matters because it pushes AI coding tools beyond productivity metrics toward software reliability. Actionable takeaway: teams should invest in workflows that prioritize validation and prioritization of LLM-generated bug reports, rather than sheer output volume.
Sovereign LLMs as a national priority
Norway’s investment in a Norwegian-language LLM highlights a geopolitical trend: nations with distinct languages and cultures are building their own models to avoid dependence on English-centric AI. This has implications for data sovereignty, cultural preservation, and bias mitigation. The trend suggests growing demand for localized training data pipelines, specialized flash storage infrastructure, and regulatory frameworks for sovereign AI.
Age-verification laws threaten open-source and decentralized AI
California’s initial age-verification law (and subsequent exemption for Linux) illustrates friction between regulatory mandates and open ecosystems. For AI/ML, similar laws could impact distribution of open-source models, training data collection, or user consent mechanisms. The takeaway: AI developers must proactively engage with policymakers to ensure that regulations account for open-source and privacy-preserving architectures.
Cryptographic foundations remain critical for secure AI systems
The Shamir’s Secret Sharing article, while not AI-specific, underscores the importance of cryptographic primitives for AI security – for example, protecting model weights, training data, or multi-party computation in federated learning. As AI models become more valuable and sensitive, techniques like secret sharing will be essential for key management and access control in decentralized AI deployments.
Physical activity may enhance creative AI problem-solving
The 2014 walking-and-creativity study, though dated, aligns with ongoing research into human cognition augmentation. For AI/ML professionals, this suggests that environmental and behavioral factors can influence the quality of human-AI collaboration. Teams might consider incorporating walking meetings or breaks to improve brainstorming sessions when designing AI systems or solving complex model-tuning challenges.
AI infrastructure demands massive, high-speed storage
Norway’s use of 2 PB of Huawei flash storage for LLM training reinforces that storage speed and scale are bottlenecks even for relatively modest national projects. As models continue to grow, the need for ultra-low-latency, high-throughput storage will drive hardware innovation and vendor choices. This trend also raises considerations about supply chain dependency (e.g., Huawei) and energy efficiency in AI data pipelines.
The “manufactured normalcy field” explains AI adoption resistance
The 2012 concept of “manufactured normalcy” helps explain why users and organizations often adopt AI only superficially, without changing fundamental workflows. Understanding this inertia is crucial for AI product designers – they must either align with users’ minimal adjustment tendencies (e.g., copilot-style tools) or deliberately disrupt them to realize transformative gains. This insight can inform UX strategies and change management in AI deployment.
Analysis generated by deepseek-reasoner