The newest HackerNews stories, desensationalized.

Om Malik, a San Francisco-based writer, photographer and investor, is reported to have died at 60, prompting broad tributes across the community. He is most often recognized for founding and shaping GigaOM and for years of incisive tech commentary that many readers connected to the dot-com and early web era. Commenters say his work stood out for direct reporting, clear writing and a preference for founder-level stories and long-term perspective rather than hype. Across remarks, he is portrayed as someone who supported others through links, feedback, introductions and fair-minded mediation, not competitive jockeying for attention. The thread also emphasizes his broader creative output through photography and travel writing, with references to his own essays and style guidance to write "like a human." Repeatedly, readers connect his later life choices to long-term heart-health challenges, after which he narrowed his public focus to the work that brought him joy. The dominant framing is that his passing is viewed as a significant cultural loss for the technology-media era he helped define, not just an individual obituary. This is reflected in comments that treat him as a respected peer and institution in tech discourse.

Researchers report that they completely digitally unwrapped and read PHerc. 1667, the first rolled Herculaneum papyrus read end to end, by scanning with phase-contrast X-ray microtomography, reconstructing geometry, flattening layers, and applying machine-learning ink detection. The study also reports stronger validation on PHerc. Paris 4: higher-resolution 3D imaging made ink visible directly inside the roll and matched prior 2023 readings. For PHerc. 139, the team recovered a title and attribution identifying the text as Philodemus’s On Gods, Book 8, helping identify content before full column-level transcription. PHerc. 1667’s preserved core is only about 8 cm of a previously larger roll, yet scholars transcribed lower segments from roughly twenty-two columns, confirming enough context to date it as a second-century BCE Stoic treatise tied to Aristocreon. The team says all tomographic data, reconstructed surfaces, transcriptions, and software are openly released, with data archived at ESRF and mirrored on the Scroll Prize site under open licensing. The work is presented as an extension of the Vesuvius Challenge, started in 2023 as an open, public effort, where early community contestants became core team members. The authors describe a scalable workflow aimed at the broader Herculaneum holdings, arguing that the open release allows other groups to replicate and expand the method.

The article argues that recent and proposed under-16 bans in Australia, the UK, and parts of the U.S. are shifting internet participation toward mandatory age-linked identity verification, despite weak evidence of child safety gains. It notes Australia’s December 2025 rollout failed to reduce under-16 usage meaningfully, with regulators reporting many children still active and a BMJ study finding little immediate drop. The law still pushes platforms and third-party providers to collect IDs, biometrics, and age-related data, and third-party tools such as Snap’s k-ID are presented as high-trust points that raise retention and breach concerns. Officials require deletion once verification purposes end, but challenge and complaints processes can extend retention, and prior government-commissioned trials found over-collection was likely without clearer guidance. A real-world breach involving a service used for age-assurance complaints released government ID images and contact data, reinforcing the risk profile that scales as more users are forced through checks. The article says UK policymakers say they will learn from Australia and tighten enforcement, including potential pressure on VPN evasion, which critics in comments liken to a broader control model. In the U.S., layered state bills plus federal proposals in KOSA/KIDS could impose near-universal identity-linked age assurance across social apps, app stores, and potentially more services. The central claim is that these systems protect little if poorly designed, but materially increase data concentration, enforcement leverage, and incentives to self-censor, while reducing practical anonymity. The piece frames the shift as a societal tradeoff, not just a technical fix, with potential long-term effects on free expression.

The post announces the second edition of Richard Jones’s Garbage Collection Handbook, presenting it as a major update to the 1996 and 2012 editions for a software landscape shaped by new hardware and execution environments. It describes the book’s broader scope across traditional, parallel, incremental, concurrent, and real-time collectors, with an emphasis on practical design tradeoffs for high-performance systems. The authors present algorithms and runtime-interface details, often with pseudocode and illustrations, to help readers select and configure collectors confidently. New material includes persistent memory topics, energy-aware collection, and expanded coverage of modern commercial collectors. The announcement highlights supporting resources, including an expanded online bibliography of nearly 3,400 publications with abstracts and links or DOIs, plus around 37,000 e-book hyperlinks that connect chapters and references. The comments reflect community interest by questioning whether AI tools can code manual memory management effectively, while also reporting past positive experience with the earlier material and recommending it as a useful reference despite its value. Overall, the update is framed as a practical reference point for engineers facing today’s more complex memory-management constraints.

The project is a playable simulator where the player acts as the operating system, managing processes, memory, and I/O while avoiding long idle waits. It can be run as a desktop app or in a browser, with source instructions targeting Python 3.14, pipenv, and an empty .venv at repository root, and it warns that the main branch may be unstable so release tags are preferable for stability. Installation and maintenance commands include dependency sync, lints, and tests, while separate workflows cover direct desktop execution, web builds, web archives for itch.io, sandboxed development stages, and automated script playback, each with module-based configuration and explicit options. The maintainer frames it as an open-source project under GPL-3.0 with explicit asset attributions for graphics, emojis, fonts, and imagery, and invites bug or help-wanted contributions. Comments extend the framing by treating the game as a systems concept with teaching potential, while also implying that replay value and engagement may depend on how players respond to the simulation mechanics.

Unconventional AI presents Un-0 as an image generator built on trainable Kuramoto coupled oscillators to explore nontraditional, physics-based AI hardware as a path to much lower inference energy. The model samples random oscillator phases, conditions them through a class-coupling group, evolves dynamics via a learnable ODE over oscillator coupling strengths and natural frequencies, then decodes the resulting phase state with a relatively small convolutional decoder. They evaluate CIFAR-10 and ImageNet64, reporting that Un-0.n16384 reaches an ImageNet64 FID of 6.74 with 322.44M parameters, and that quality improves with scale though still trails modern leading generators. Training and evaluation follow standard protocols, with 50k-image FID scoring, explicit Euler integration, and DINOv2-guided drifting loss optimization. Ablations isolate contributions: decoder-only and frozen-dynamics baselines perform worse, and learned multi-step dynamics outperform random reservoirs, indicating the oscillator core contributes meaningful computation. Analysis of latent trajectories and separability suggests dynamics structure class information early, while later dynamics refine samples, supporting the proposed split where dynamics support diversity and the decoder contributes quality. They also test precision/recall dynamics over time and find better recall growth in trained systems, tying performance gains to diversity retention rather than only pixel-level refinement. The work is openly released with checkpoints and scripts, and the authors frame it as an early step toward physically realized AI systems aiming for dramatic efficiency improvements on future chips, while acknowledging current implementation remains mostly simulated.

IBM announced a 7-angstrom logic node using a new 3D nanostack transistor design, describing a sub-1 nm milestone and a chip-scale near-fingernail device with roughly 100 billion transistors, nearly twice the density of its prior 2 nm generation. The release says the architecture stacks and staggers nanosheet channels to improve performance and energy efficiency, citing internal projections of up to 50 percent more performance and 70 percent higher energy efficiency, plus 40 percent SRAM scaling results presented at VLSI 2026. IBM says experiments validate CMOS integration, dual-channel engineering, and inverter operation and frames the work as enabling future logic scaling for AI and high-throughput cloud workloads. The company emphasized that node labels are generational rather than literal physical measurements and said the approach could extend scaling for around a decade with production targets as early as five years. It also tied the effort to its Albany research site, expected High-NA EUV capacity with ASML-era tooling partnerships, and the launch of Anderon, its quantum foundry company. Comments on the claim question whether sub-1 nm reflects physical dimensions, noting that transistor marketing in the sector often uses naming conventions detached from measurable feature size and accusing the announcement of overpromising relative to practical commercialization. Observers also compared this with IBM’s history of research-led breakthroughs that have not always become high-volume products, and many asked how a company without broad manufacturing capacity plans to monetize the technology.

The article describes a composite system called Minerva, an internal “Bank Python” approach where financial institutions replace conventional tooling with tightly integrated subsystems built around a global object store, dependency graph, job runner, and table abstraction. Barbara is presented as a key-value ringed store used for instruments, trades, market data, and even internal state, with overlay rings for fallback lookups and consistency tuned per-instance, trading flexibility for portability and some global coupling risks. Dagger models instrument dependencies as a directed acyclic graph so derivative repricing and risk rolls up automatically when underlying values change, making valuation behavior closer to spreadsheet-style reactive computation but with versioned Python code. Walpole is depicted as a bankwide orchestration layer that runs services and scheduled jobs, reduces deployment friction, and avoids much of the operational complexity of modern cloud-native stacks at the cost of a centralized monolithic runtime culture. MnTable serves as the bank-preferred tabular model in place of pandas, optimized for memory-dense, medium-sized datasets and common financial workflows. The author highlights practical tradeoffs: strong reuse, rapid deployment, and domain-fit for valuation/risk work coexist with long onboarding times, ecosystem drift from open-source Python, proprietary IDEs and custom web frameworks, weaker documentation, and skill atrophy for mainstream development tools. The narrative repeatedly argues this design helps business users transition from Excel-like modelling into controlled Python while preserving agility, but also risks lock-in and limited external interoperability. The author acknowledges missing pieces and intentionally omits proprietary/

OpenKnowledge is presented as a local-first markdown editor and LLM wiki with WYSIWYG editing, Git/GitHub-backed team syncing, MCP-style integrations, and cross-platform availability through a macOS app plus a Node-based web/CLI flow for Linux, Windows, and Intel macOS. It emphasizes agent-driven editing through Claude, Codex, and Cursor and advertises out-of-the-box skills, search, and spec-oriented workflows, while being open-source under GPL-3.0-or-later and inviting public pull requests into an internal monorepo pipeline. The launch material positions it as a collaboration-focused knowledge base that can replace fragmented local AI tooling and reduce context churn across files, prompts, and agents. Comment discussion frames the value as promising for teams needing structured markdown knowledge sharing without heavy lock-in, but many users say the practical gains over Obsidian or VS Code are unclear. The most repeated gaps are incomplete in-app AI integration, limited model/provider flexibility, and uncertainty around migration, native usability, and non-Mac parity. The app’s use of an Electron shell is seen as both accessible and potentially limiting, depending on whether its user-experience polish can close long-standing cross-platform pain points.

The available article content is limited to the title and metadata for Prince Chazz, a 2026 game by Floris Veldhuizen and Tom Hutman from Maanraket, with no additional gameplay description in the provided text. Readers are left to infer the game details from comments and external links rather than the article body.

After years running a growing Proxmox cluster, the author migrated to NixOS plus Incus to remove manual, hard-to-reproduce maintenance and unify system state in versioned configuration files. The move was motivated by experiences with unreproducible imperative fixes, including GPU driver failures and boot-loop recovery pain, where identical machine behavior on new hardware after a NixOS-based reinstall validated trust in declarative definitions. Hardware-specific tuning, such as disabling certain Intel offloads for a known NIC bug, became documented and persistent in Nix system files instead of ad-hoc root-shell steps. NixOS also let the host run local workloads like Kodi directly, avoiding the Proxmox tradeoff between GPU passthrough for media and host debuggability. The author links this to AI-assisted operations, arguing text-defined infrastructure is easier and safer for agents than GUI-driven workflows because it is deterministic and inspectable through diff and config checks. Incus is framed as the missing hypervisor layer for NixOS, handling stateful LXC/VM needs with mature migration and management features while staying CLI-centric. The migration strategy used vzdump-to-Incus import scripts for containers and qemu-img conversion plus import for VMs, including a virtual-machine parity setup to validate replacement behavior before host cutover. The result is a single Git repository managing host, network, storage, and virtual infrastructure so machines can be rebuilt and restored quickly after reinstall, with less dependence on remembering prior web UI decisions.

This 2026 Zig devlog issue reports major compiler and tooling progress across multiple areas. The SPIR-V backend was repaired and modernized with a new @SpirvType builtin for previously unsupported type constructs, execution-mode details moved into calling conventions, CPU-feature-driven capability/extension emission, multi-threaded codegen, and full .spv object-linking support, cutting bitcode weakness and increasing passing behavior tests. LLVM backend work reworked lowering for non-ABI integer widths and introduced the new @bitCast semantics based on logical bit layout, replacing memory-based reinterpretation and making aggregate casts behave consistently across endianness while still preserving expected integer and packed-type reinterpretation behavior. The same set of backend changes is reported to improve optimizer effectiveness, including around 5% performance gains in compiler builds, though odd-width integer handling remains niche and behavior changes require migration. A separate ELF linker milestone now enables faster incremental rebuilds and successful builds with LLVM/LLD dependencies, while the 0.17-era build-system refactor splits configuration from execution to cache serialized graphs and sharply reduce build-help latency. Incremental compilation also improved in the LLVM path, and a large type-resolution redesign is expected to reduce over-analysis, improve dependency-loop errors, and speed typical edit-recompile cycles. The standard library and ecosystem updates include io_uring/GCD-based std.Io evented implementations, package layout and override workflow improvements via zig-pkg and --fork, and a gradual replacement of vendored libc C files with Zig wrappers in a unified compilation unit. Lower-level platform work also moves Windows behavior toward n

OS9Map is presented as a Mac OS 9 mapping client for PowerPC systems that supports smooth tile-based panning, OpenStreetMap Nominatim search, and bookmark saving, with requirements of Mac OS 9, a PowerPC processor, at least 16 MB of RAM, and an Internet connection via Open Transport TCP/IP. Version 1.0.0 was publicly released on June 21, 2026, with no later updates listed yet. The tool’s author frames the project as an experiment in connecting a 30-year-old platform to modern networked services without relying on proxies, noting limitations in Mac OS 9 security support and emphasizing the effort required for TLS and modern protocols. Related tools for Bluesky and Mastodon are also linked, reinforcing a broader pattern of lightweight clients for contemporary web services on legacy systems. Commenters are generally positive about preserving old Macintosh workflows, praising the project as useful, surprising given low RAM requirements, and motivation to revive classic PowerPC hardware. A few respondents also express practical interest in trying it on actual old machines, while another questions whether the project is feasible outside emulation. The strongest technical interest centers on transparency around implementation details such as TLS, HTTP, Unicode support, and whether it uses Classic or Carbon-era APIs. Overall, the discussion values both the novelty of old-system compatibility and the broader implications of open data availability over closed web platforms.

A patron describes a brunch where QR-based menus and payment systems replaced traditional service and made a six-person visit slower and less pleasant in Dubai. Guests had to take turns scanning one shared menu code, and repeated scans sometimes failed, creating delays. A parking alert on the author’s phone interrupted the group, and bill-splitting via QR produced uncertainty because the interface did not track who had paid what. The bill screen only showed total unpaid amount, and shared dishes created worry about duplicate charges, adding social awkwardness when payments were revealed. At checkout, simultaneous payment by six people led to confusion despite staff support, and one group member still had an unpaid balance until almost the end. The post uses the doorman metaphor to argue that replacing visible labor can remove unplanned human value such as coordination, courtesy, and real-time recovery from edge cases. Comment discussion broadens the point: some readers say hospitality and small design touches are part of service value, while others note that good digital design can work well and is context-dependent. Several commenters also cite concrete UX and security issues, including weak implementations and vulnerable shared QR check flows. Other participants argue that businesses may intentionally shift costs and tasks to customers to save money, with occasional genuine benefits like parking reminders. The thread settles on a pragmatic view that scale can amplify tiny frictions, so automation is worthwhile only when it improves total utility, not when it merely trims costs by moving hassle to users.

The article lists steep Apple price increases announced at launch, with raises across the Mac, iPad, TV, HomePod, and Vision Pro lines. MacBook models were lifted by roughly 10 to 30 percent, with the largest jumps on higher-end SKUs such as M5 Max and M3 Ultra Mac Studio variants, while baseline iPads also moved up by roughly 10 to 20 percent in many trims. Many comment threads treat these changes as evidence of a broader memory and storage shortage, noting that the timing appears linked to AI-driven demand for DRAM and NAND. Commenters also emphasize a practical effect beyond headline percentages: third-party retailers still showing old prices, temporary discounts, and trade promotions have created a short window for shoppers to buy before Apple’s new list fully propagates. Some readers report pausing or canceling planned upgrades, extending device lifecycles into 18–24 months, while others shifted to Amazon, Best Buy, Costco, or refurbished channels to avoid the increase. The thread repeatedly compares current hardware inflation with a wider industry pattern, including prior GPU shortages and recent price moves by other tech categories. Several users frame the move as a stress signal for smaller makers and a potential acceleration of centralized, cloud-hosted AI workflows over local computing. Others counterbalance the backlash by pointing to Apple’s historical margin strategy, regional pricing variation, and occasional discount opportunities that blunt immediate impact. There is also a recurring request for clearer policy from Apple on education verification, trade-in terms, and potential future repricing. Overall, the story is treated less as an isolated margin decision and more as a visible symptom of constrained supply chains, inflation, and an AI economy where “

The post introduces type inference for anonymous records as a gap between dynamic- and statically-typed languages, noting that record-like JSON objects are common but often awkward to type in traditional static systems. It models a minimal language with booleans, strings, numbers, records, field access, variable binding, and functions, then derives inference rules to explain why simple cases are straightforward: record literals infer field-by-field, and field access checks requested keys at the inferred record type. It then shows why direct value-based field typing does not scale once variables are added, motivating context-based lookup for soundness. With functions, inferred types become too narrow unless extra fields can be represented, so the post contrasts a drop-in approach equivalent to TypeScript-style width subtyping with a stronger one called row polymorphism that names unknown remainder fields. The row-variable approach is presented as essential for operations like record extension because it preserves relationships between original and updated rows and tracks whether a field may be absent. The post closes by tying the concept to a concrete language design need: the author’s work on a Nix type checker and operator like record concatenation, which is best handled with row-based inference as described in academic work. The appendix shows a full Haskell implementation of the simpler baseline, while deferring unification details for later.

The article argues that Roman identity did not vanish with the fall of imperial institutions, but persisted in changing forms tied to language, geography, and local self-definition. It profiles Romanians in Romania and Moldova, who retain a Romance language and a long tradition of calling themselves variants of Roman despite ongoing scholarly and political debate over whether their ancestry comes mainly from Roman colonists in Dacia or nearby Balkan provinces. It highlights Romansh in Switzerland as a small Alpine language community that remained distinct through political autonomy and became part of the modern Swiss state while preserving a Romanic identity. It then turns to Romeika and Urums in Black Sea and Anatolian contexts, describing Greek-language descendants of Byzantine and earlier Roman-linked settlements with regionally divided identities shaped by Ottoman collapse, migration, and twentieth-century population exchanges. It notes that not all “Roman” labels imply a Roman origin, distinguishing Romani heritage as South Asian in origin despite historical misnaming. The Vatican is presented as a Latin-speaking religious institution that preserved Roman cultural continuity symbolically, while modern Rome itself is framed as the strongest physical legacy rather than a surviving polity. Overall, the piece emphasizes continuity through adaptation rather than direct state continuity.

The piece presents a line-by-line PyTorch training-loop walkthrough and shows how small reordering changes behavior without raising exceptions. It starts from a canonical loop and a table of failures, then explains dataset and DataLoader mechanics, including batching, shuffling, worker processes, pinned memory, and persistent workers for throughput. It covers reproducibility with RNG seeds for Python, NumPy, and CUDA plus DataLoader worker seeding, and then details model construction, including module registration, buffers, and why device moves and dtype/device conversions must precede optimizer creation. Core execution phases are explained in order: train/eval mode toggling, zeroing gradients, forward pass graph construction, loss computation, backward differentiation, optional gradient clipping, optimizer stepping, and scheduler stepping per intended cadence. The article also discusses memory and stability implications, including no_grad versus inference_mode for validation, .item() logging, checkpointing, and gradient accumulation. It compares optimizers and learning-rate policies, including Adam/AdamW behavior, cosine schedules, and ReduceLROnPlateau. Performance guidance spans mixed precision with autocast and GradScaler, BF16, non-blocking transfers, torch.compile, cuDNN benchmarking, and practical throughput tips, and finishes by pairing those recommendations into a final, corrected loop.

The post describes building a long-distance runner app feature that overlays points of interest on virtual routes and explains a full data pipeline built around GeoNames, Wikipedia, and map geometry. The author downloaded and filtered GeoNames data into Parquet, excluded coarse administrative entries, and kept selected feature codes with population and elevation constraints to create a manageable candidate set. They then matched POIs to routes using GeoJSON bounds, distance checks, and Shapely/PyProj, generating route-specific lists where counts varied dramatically from hundreds to tens of thousands, revealing language and population bias in the English-facing source signals. In the ranking stage they pulled Wikipedia summaries and Wikidata language coverage, then used an LLM (Anthropic Haiku) only as a scorer, not a primary source of facts, after grounding prompts and adding location metadata to reduce hallucinations. The author reports hallucinations still occurred, including incorrect prominence and scaled figures, so they abandoned LLM-generated prose in favor of original Wikipedia text for accuracy, keeping the model for subjective weighting. They added route-level tuning (population caps, feature weights, local spread controls, LLM-vs-Wikipedia blend) and built debug tooling plus SQL checks to inspect false positives and negatives. The project shipped as V1 with API + map delivery, while the author notes unit tests worked poorly for “taste,” requiring iterative review, manual overrides, and community feedback.

Besimple AI describes itself as an infrastructure provider for next-generation voice AI, focusing on high-quality data and evaluation workflows across languages and accents. The company is hiring a Strategic Projects Lead for Audio Data to own end-to-end collection and annotation programs, turning ambiguous customer requests into executable processes, running pilots, managing contributors and reviewers, and enforcing quality, throughput, and delivery standards. The role is framed as high ownership at the intersection of operations, product, and customer execution, with candidates expected to run complex, cross-functional efforts from inception to completion in areas such as AI data, labeling, localization, or crowdsourced work. Because the platform is still evolving, the hire is expected to identify product gaps, define requirements, and help engineering improve features rather than only run existing workflows. Besimple emphasizes a data-first thesis: human-reviewed training and evaluation data are critical to model quality, and current tooling is too slow for modern multimodal and agentic AI development. It positions itself as a YC-backed, Redwoods City startup already serving production teams in support, search, and education through data and evaluation pipelines, with founders from Meta and strong academic backgrounds. The platform is presented as replacing older annotation systems with custom UIs, specialized rubrics, and an end-to-end human-in-the-loop stack for text, chat, audio, video, and LLM traces. Its value proposition includes support for both on-prem and cloud deployments, faster turnaround, less rubric disagreement, and quality gains through integrated AI-judge mechanisms. The company frames the offer as an opportunity to shape both internal playbooks and몇

After a flu outbreak at Lackland Air Force Base in Texas sickened at least 222 recruits and hospitalized four, with one trainee death reported, the Army, Navy, and Air Force reinstated flu-shot requirements for basic trainees. The outbreak began in early June after the previous mandate was lifted in April, only weeks after Defense Secretary Pete Hegseth called the requirement irrational and removed it in favor of more personal choice. The base’s crowded training conditions, where respiratory illness spreads quickly, are central to the rationale for periodic military immunization requirements. Comment discussion frames the policy reversal as a direct response to operational disruption, with observers arguing that infectious disease remains a force-readiness issue in ways civilian workplaces do not face. Sources cited in coverage estimated that only about 40 percent of new trainees were vaccinated. In a follow-up detail, about 60 percent of previously unvaccinated trainees reportedly declined flu shots during the lapse. The story reflects tension between military readiness planning and debates over autonomy in mandated health measures, especially after recent policy shifts. The uncertainty remains over whether the death was directly caused by influenza, but the event has reopened the argument over preventive mandates in high-density duty settings.

The essay argues that early modern mechanistic thinking is best understood as a historical project rather than a single doctrine, aimed at displacing Aristotelian explanations rooted in final causes and intrinsic natures. Dijksterhuis is presented as reviewing four candidates for what made explanations mechanistic: machine-like models, hidden-part mechanisms, external-cause explanations, and mathematically grounded mechanics. He rejects each as exhaustive because each has notable exceptions, including Newtonian gravity’s success without a known mechanism and inertial motion’s apparent internal principle despite anti-animistic ambitions. Hull is cited as narrowing the term to non-final-cause or non-vital-force explanations, while Crane is portrayed as combining anti-teleology with mathematical lawfulness and a move from organic to inorganic models of nature. The author ultimately agrees that the movement’s enduring core was less a fixed technical template than a practical program: make nature intelligible, controllable, and exploitable without Aristotelian forms or internal purposiveness. In this view, machine metaphors and push-pull causation were useful early heuristics, but mathematization persisted because it supported prediction and technology more reliably than those earlier layers.

The release introduces GE-Proton11-1 as a substantial refit of the GE Proton stack after a four-month gap, centered on a full video playback rework that replaces the dual quartz->gstreamer plus quartz->ffmpeg strategy with a single quartz->winedmo->ffmpeg path. The build is fully rebased on latest Proton 11 bleeding-edge and adds d7vk, discord bridge, optiscaler, winealsa channel/spatial overrides, xrandr fallback monitor detection, updated Star Citizen and game-specific patches, standalone VR patches, and a native rsx3d library to reduce third-party requirements. The author removed gstreamer components from Wine and rebuilt DirectShow graph behavior so playback now follows deterministic codec and splitter selection before winedmo decode, with PCM-first audio routing into DirectSound and cleaner graph state handling, reducing dependency on game-specific hacks and overrides. AI-assisted log-diffing between overridden and broken paths was used to implement missing native behavior, then clean-prefix validation was used to confirm fixes for many games, including multiple classes like visual novels and RPGs. Most listed titles now reportedly play videos without winetricks and without quartz/dshow/amstream/lavfilters/klite-style overrides, with explicit tested compatibility for a large roster including major RPGs, action titles, visual novels, and several legacy entries. Known remaining issues are limited to some older WMV pixelation that self-corrects after startup and frame-splitting in some WRC4 logos, while most games in the verified list are expected to work. The changelog also adds broad protonfix updates for older ID Tech and several standalone games, extending compatibility and setup coverage. The post emphasizes that users should file issues for remaining failing in-

Researchers at the Puget Sound Seismological Network installed seven temporary seismic sensors at Seattle’s newly renamed Seattle Stadium ahead of the tournament, placing them on the pitch-level tunnel, each of the four corners of the 300 level, and at the top of the Hawks Nest, alongside the permanent KDK station across the street. The campaign extends earlier deployments at Seahawks playoff games in 2014, 2015, and 2017, and at T-Mobile Park during Mariners postseason games in 2025, with the 2011 Beastquake remaining a notable baseline event for the nearby permanent station. Data from the stations captures structural shaking produced by synchronized fan movement during games, showing how large crowds can generate measurable ground motion. The network presents this work as a public science effort, linking stadium vibrations to the same techniques used for monitoring earthquakes and volcanoes in the region. It emphasizes that the Pacific Northwest is seismically active and encourages people to interpret local tremor data in a familiar setting. The team invites audiences to watch live feeds for each Seattle-hosted match and to check social posts for curated highlights.

The post documents a repository for modifying an NES to run two PPUs, with the practical goal of increasing color output, sprite capacity, and parallax capability. It points users to a modified fork of Mesen2 and related project demos for experimenting with the concept without physically altering a console. The hardware section lists required parts from two consoles and specific chips, RAM, sockets, resistors, and headers, while also noting that the recommended prototype board can block the expansion port. The build steps include desoldering, replacing the PPU area with headers, preparing a trimmed 74LS139 socket, and adding jumpers to CPU A12, the existing 74LS139 pin 5, and both PPU /CE lines before seating the donor logic and plug-in board. The guide adds assembly cautions such as folding or relocating obstructive capacitors and handling pin modifications carefully. It closes as a rough but complete reference to follow alongside provided schematics and photos. Commenters acknowledge the project as a meaningful hardware innovation that extends classic console capabilities and appreciate that it enables experimentation beyond previous modding attempts.

The piece argues that poor training paths and weak wages are driving young anime creators out, with a cited quarter leaving within four years and two-thirds within eight. It says the industry cannot function on only elite directors, designers, and top animators, because ordinary but reliable in-between work is essential to daily production. The article frames this as structural underinvestment: studios optimize for budget, output, and deadline pressure, which encourages outsourcing and the wider use of 3D and automated tools. Commentators extend that logic to the sector’s economics, noting that modern production has long traded hand-drawn throughput for scalable methods and lower per-frame cost. A related Japanese report is cited in the thread: about 200,000 yen monthly earnings with roughly 2,745 hours a year worked, implying very long weekly schedules with limited compensation. The discussion also highlights that this value pattern benefits platforms and star IPs more than rank-and-file workers. It adds examples of mixed outcomes, from still-heavy hand-drawn projects in specific new releases to rising pressure for quantity and speed. The article is ultimately presented as a case study in labor scarcity, tool substitution, and whether sustainable creative industries can preserve quality while scaling.

A methodology-driven benchmark is presented to map major AI models’ political stance by asking each model the same charged questions repeatedly with web search disabled and then plotting weighted results on two dimensions, economic left-right and libertarian-authoritarian. Each model appears as a cloud representing run-to-run variation, with separate views for claimed ideology versus measured behavior, refusal rates, and consistency under pressure. The project argues it captures the model itself rather than retrieved web content by default, with a Border Test for location-aware search effects and optional comparisons across countries and languages. It also publishes the question bank, weighting, and raw answer data as versioned, open artifacts so results can be recomputed over time. Anchors to CHES 2024 and V-Dem are used to contextualize models against external political reference points. Questions are classified for factual versus values-based content, and all results are intended to be descriptive rather than normative. Users are told many people consult these models for news interpretation and civic reasoning, which is why the benchmark emphasizes practical impact as much as positional labels.