Houthi missiles have also hit Saudi airports, forcing Riyadh to postpone its flagship investment conference until 2027, and a separate drone strike on a Sudanese market killed 80 people in one of the deadliest single attacks of that country's civil war.
Plex administrators who have not patched should do so immediately, since exploitation is already underway. Separately, a breach at AI coding tool OpenCode shows the agent platforms developers now rely on are themselves live targets for credential theft.
Reaction split between genuine interest in a time-series foundation model and suspicion of the marketing. Several called out the blog's benchmark framing, with one pointing out a 0.03 difference in score was presented as a dramatic win, and another noting the post leans on a hypothetical customer rather than a real deployment reference. The most developed disagreement concerned whether a single foundation model can usefully generalise across "time-series" at all: one commenter argued that accuracy in domains like energy pricing depends on joint information (weather, gas prices, geopolitics) that a narrow lookback window and a handful of cannot capture, while another countered that the real value of a is avoiding the cost of training and maintaining thousands of bespoke per-series models (e.g. one for each of 10k SKUs or sensors), which a classical approach like or can't scale to economically. One self-identified "head of macro" and a "cofounder of a forecasting company" (both plainly joking, mocking the parade of suspiciously convenient credentialed commenters) added levity rather than substance. A technically serious comment asked whether the model is a pure black-box or offers access to underlying dynamical equations, concluding from the docs it's a black-box producing 21-quantile probabilistic forecasts from multivariate . No consensus reached; competing claims about real-world usefulness went unresolved, and a comparison to Nixtla's was raised but not answered.
Overwhelmingly celebratory, with the technical substance coming almost entirely from the porter's own detailed comment thread. The author (handle NethIafin) explained the three hardest problems: handling the , which Windows uses for thread-local storage via the but which OpenBSD leaves unmapped, requiring trapping and rewriting instructions at runtime; emulating Windows' inter-thread signalling (used heavily by Electron and Chromium apps) via SIGUSR1/SIGUSR2 since OpenBSD disallows signalling threads in another process; and implementing / for Steam's helper processes, which runs against OpenBSD's ptrace security model and needed `kern.global_ptrace` considerations. A maintainer confirmed upstream Wine developers are hesitant to merge any of this, both because it's another OS to support and because some fixes touch how Wine treats "emulated" application code, so the port will likely stay a separate OpenBSD ports patch rather than land upstream, though talks are ongoing. Side discussion covered Nvidia having no OpenBSD driver (AMD/Intel do), and speculation connecting this work to the broader uptick in PS5/BSD interest, which was corrected since the PS5 runs FreeBSD, not OpenBSD. Overall a thin but informative thread riding on one excellent first-hand writeup.
A now-familiar genre of post (several commenters noted this has become common, especially from Ruby people) prompting a debate about open source's relationship to AI more than about Ruby itself. The strongest point of agreement was sympathy for the loss of joy in collaborative, human coding even among people who think LLM-written code is good or better than before — one recounted a maintainer of an 80k-star project who finds the robots genuinely capable but misses the human community aspect. The sharpest disagreement was over motive and fairness: some argued open source was always "strip-mined" by corporations for free labour and this is just the logical endpoint, while others thought the original post's swipes at DHH and Matz (over Rails' AI-driven development and Matz's "Ruby for the AI age" framaming, where LLMs need more human-written Ruby to train on) were an unfair, vague tantrum rather than a real argument. A few pushed back that the real issue is unresponsive maintainers driving contributors to maintain private LLM-assisted forks instead, predicting a long-term fragmentation of small packages. No resolution; largely people re-stating prior positions on AI and open source rather than engaging new evidence, with some ad hominem sniping at the author.
A fairly skeptical thread about MiniMax's new model, flagged early as a near-duplicate of several other submissions. The central claim commenters pushed back on was the benchmark comparison itself: the model was previously tested anonymously on as "Space Bunny," and multiple people reported it underperformed in real use against and , despite scoring well on benchmarks like and — read as evidence that benchmark scores are increasingly disconnected from practical coding quality. One detailed comment worked through the pricing claim ($0.15/$0.60/$0.015 per MTok, a 70% cut from predecessor M3's $0.30/$1.20/$0.06) and judged it plausible but still not quite undercutting DeepSeek's lower cache-read pricing. Specifics: the model is reported at 428B total parameters with 23B active (MoE), comparable in size to DeepSeek V4.1 Flash, prompting debate over whether "Flash" still means small/fast given these are multi-hundred-billion-parameter models. One user ran Simon Willison's pelican-drawing benchmark with adequate results. Consensus: thread leans towards the model being competently priced but "benchmaxed," with real-world coding quality trailing DeepSeek and GLM.
A substantive security thread anchored by one detailed account of a real attack: for 33 hours in August, an attacker -hijacked a Hetzner-routed /24 to intercept Let's Encrypt's domain validation traffic and obtain a valid certificate for virtualizor.com, despite the hijacked route being invalid under the whole time. This drove the main disagreement: several argued Let's Encrypt and the CA/Browser Forum should make validation mandatory rather than layering on more vantage points, since all perspectives can still be fooled if the wider internet's routing itself believes the forged destination is legitimate; one detailed rebuttal noted the hijack was actually RPKI-valid because the attacker spoofed Hetzner's AS into the path within an overly permissive /24 max-length ROA, shifting blame to configuration rather than RPKI as a concept. Others suggested CAA records with the accounturi parameter, or ASPA path validation, as complementary fixes. A tangential but well-explained comment described how multi-perspective validation works mechanically via ACME challenges across independent CA network paths. Side debate on RPKI's dual use as a potential censorship lever (e.g. pressuring RIPE NCC) went unresolved. Also flagged: the jabber.ru incident where an attacker simply physically tapped a server's cable to get a cert issued, illustrating that network-level defences don't cover all threat models.
Mostly enthusiasm for the hack itself, tempered by debate over how useful it actually is and whether it was substantially AI-generated. Technical correction/clarification: despite early comments assuming it needs JVM-based ARM simulation, a later reply says the readme indicates it can run native ARM binaries directly. Commenters flagged practical limitations: no app sandboxing, with user files and app data stored inside /Applications rather than the user's home directory, and no support for apps relying on Google Play Services or SafetyNet-gated banking apps. A moderator (dang) publicly noted some of the author's own comments were being killed as suspected AI-generated text, which is against site rules even though using AI tools to build things is fine — a notable meta-moment given a sibling comment separately complained about recognising "Opus" writing style in the project's own documentation. Use-case debate was inconclusive: some saw real value for abandoned smart-home/IoT apps or region-locked content, others (with Apple Silicon Macs already able to run allowed iOS apps) couldn't identify a real need. Comparisons were drawn to Android emulators like BlueStacks (said to be slower, VM-based, ad-laden) and to Microsoft's defunct Windows Subsystem for Android and earlier Project Astoria, plus the Google v. Oracle API-copyright case as a legal precedent looming over such reimplementations.
The thread is dominated by the Inception co-founder's own launch post and reader benchmarking rather than sustained argument. The headline claims — 1,068 on Blackwell GPUs, a 1M-token context (up from 260K), and pricing of $0.20/$0.70 per million input/output tokens (halved at launch) — went largely unchallenged, though one commenter reports v4.1 Flash beating it on both latency and intelligence via OpenRouter, and flags slow (TTFT) despite the throughput claims. Several users ran their own tests: one built a working Swift UI OCR/translation tool in under an hour using 26M tokens at 160 TPS; another reported it beating Haiku and matching or nearing newer-generation models on a pelican-drawing benchmark. The core technical point of interest, mostly accepted rather than debated, is that models generate tokens in parallel via iterative denoising rather than autoregressively, so the speed advantage over token-by-token models grows as reasoning length increases. Recurring unanswered questions include model parameter count, whether weights will be open-sourced (no), and multimodal support (not yet). Simon Willison shared pelican-benchmark outputs via both OpenRouter and the direct API. No real disagreement crystallised beyond scattered skepticism about benchmark comparability given differing training/alignment data; several asked why Google's earlier Gemini Diffusion demo went nowhere, without resolution.
A thin, mostly definitional thread. Little first-hand substance beyond the Postgres team reverting several beta features that didn't meet release-quality bars. Commenters largely agreed this reflects well on the project's quality control and community-mindedness rather than being a sign of dysfunction, pushing back against the headline's "beatings will continue until morale improves" framing — several explained the joke's origin and argued it's being misapplied here, since reverting broken beta features before release is simply correct engineering practice, not tone-deaf leadership. One substantive aside, easily missed by skimmers: a commenter noted the reverted code predates "" and wasn't an AI-generated-code problem. Another suggested the real story is that LLM-assisted code review surfaced edge cases that volume-wise outstripped what maintainers could triage and fix in time, which is a more interesting claim than the thread pursued. Otherwise the discussion circles on whether Postgres still needs new feature development at all, with no real resolution. No disagreement of substance, mostly people correcting the headline's tone rather than debating the technical reverts themselves.
A substantial, practical thread anchored by first-hand infection reports. One commenter traced a cryptominer (contacting gulf.moneyroocean.stream, a known -mining pool domain pattern) to a stale macOS security patch rather than Plex itself, despite running the latest Plex version — pointing specifically to a missed Sequoia 15.8 fix. Another reported missing Plex's own "upgrade now" email and running a build 13 months out of date, discovering a process cheekily named "mylovelyminer." The real debate is whether exposing Plex to the public internet is reckless or simply how the product is designed to be used: several argued Plex's whole value proposition — letting family and friends stream without VPN setup — requires internet exposure, and that Plex itself nudges users toward it with warning icons, while others countered that Tailscale or Cloudflare Tunnels achieve the same sharing without the risk, and that Synology's bundled Docker/Container Manager stacks are often badly out of date, widening exposure. A tangent on Plex's new UI being slow and unusable compared to Jellyfin drew broad agreement, with people citing dropped native video support and Xbox client abandonment. No real consensus beyond "patch promptly and know your risk model."
A rich, nostalgia-and-insight thread responding to a talk on RuneScape-based agent benchmarks. The strongest consensus is that old-school RuneScape's unmoderated, scam-ridden "wild west" design — since sanitised away by Jagex with confirmation screens — was formative and valuable for many commenters as children, teaching real social wariness; one vivid first-hand account describes being lured into the wilderness as an 11-year-old and nearly killed by a "helpful" stranger. Multiple commenters trace their software careers directly to writing RuneScape bots, particularly the Delphi-based SCAR tool for automating mining and banking runs, with one noting their essence-mining bot broke when Runescape started randomising pixel colours to foil bots. On the technical premise, the project's own author (present in-thread) and a tester who tried it months earlier noted models mostly know RuneScape from training data but still hallucinate heavily, and that even small amounts of injected game-state knowledge sharply improved agent performance. Side discussion speculates games like this and Factorio make good training environments given their deep dependency trees, with pointers to a similar Factorio-agent project and a World of Warcraft agent effort. A legal aside notes Jagex aggressively pursues botting communities but has apparently tolerated this specific fan-server project (2004scape/Lost City) so far. No disagreement, just converging nostalgia and speculation.
A scattered, bikeshedding thread around a review of Linux-on-the-Nvidia-RTX-Spark laptop, with the article's own technical content (patches needed to boot Linux) barely discussed. Much of the thread litigates whether a local Microsoft account is genuinely avoidable: one commenter detailed the Windows Pro "join a domain instead" workaround, while others noted Windows Home increasingly forecloses that option and that cloud-account requirements keep tightening, with one user describing having to stay offline through the entire Windows 10 install to dodge it. A side debate on hardware value pitted the Spark's chip against AMD's x86_64 "" APUs, which share system RAM as GPU memory similarly; benchmarking links were posted showing comparable battery life and power draw between the two architectures, undercutting an early claim that ARM64 is inherently more power-efficient. Several questioned the laptop's use case altogether given cheaper mini-PCs with more unified memory exist, though others defended it for untethered, offline local-inference scenarios like flying. No first-hand Linux-on-Spark experience beyond the article itself surfaced, and the thread never converged — it drifted between account-bypass tips, hardware-architecture trivia and "why would anyone need this."
A short, technically dense thread with genuine corrections to the article. The most substantive point, endorsed without pushback, is that modern AES deployments mostly don't use the finite-field inverse operations the article emphasises for decryption, because turns the block cipher into a keystream generator: encryption and decryption both become simple , so / inversion is largely moot in practice. A self-identified former student of the article's author (a university professor) added useful historical context: arithmetic also underlies and , and lookup-table implementations of MixColumns/SubBytes were standard until Daniel J. Bernstein's cache-timing attack pushed vendors toward dedicated hardware AES instructions. Two commenters nitpicked the article's phrasing: whether describing the polynomial equivalence as "weirdly" true undersells deep Galois theory motivating it, and whether field elements of size p^n correspond to polynomials of degree strictly less than n rather than "up to n." A reply clarified "weirdly" was meant as "unexpectedly," not dismissively. Mild disagreement, mostly resolved; no real controversy, just precise mathematical point-scoring among people who clearly know the material well.
The thread was essentially unanimous that the tag had broken: it started as a label for AI-slop content and drifted into being slapped on any post mentioning LLMs at all, including thoughtful technical writing from respected authors, so it functions less as a topic tag than as a stigma. Several commenters (notably those who read Lobsters specifically for computing content from people like Daniel Lemire or Mitchell Hashimoto) argued the tag now actively drives away exactly the original, high-quality technical writers it was meant to help readers avoid wading past. Disagreement centred on what should replace it: some wanted a stricter, more narrowly scoped tag for genuine AI-generated slop versus one for posts merely touching on LLM practice; others proposed a dedicated "slop" flag akin to spam-flagging rather than a topic tag, so moderators could remove low-effort content outright instead of just letting readers filter it. A minority defended the status quo, saying they deliberately filter anything AI-adjacent and don't want nuance. There was no real resolution reached in the sampled comments — mostly agreement that the status quo is broken, with a scattering of competing fixes and no consensus on which.
This is the moderators' response to the vibecoding backlash, and the discussion split sharply along a fault line the first thread had already exposed. Several commenters — who filter -tagged posts to manage "AI fatigue" or avoid content they consider ethically tainted — felt the policy update reframed their position as mere "shaming" of AI users, and warned that narrowing the tag (into a tighter "ai-tooling" label) will let quietly LLM-assisted posts slip through unflagged while removing their main coping mechanism; one said they might leave the site entirely, several treating this as a loss of their "garden party." Others welcomed the change as overdue, arguing the old tag had become a de facto downvote/trigger-warning mechanism that polarised the community and chilled good technical writers from posting. A strand of debate concerned a new rule restricting bare repository-link submissions, which one commenter called wrongly incentivised, noting they'd found many good projects that way and expecting people to route around the rule regardless. One moderator-directed commenter invoked an Amnesty International report on AI and human rights to argue the whole framing of "neutrality" is untenable. No consensus: moderators tried a compromise, and both sides suspect it satisfies neither.
A talk on sexism in tech drew a long, largely sympathetic but ultimately circular discussion. Several commenters affirmed the talk's core ask — that men talk to other men proactively about culture rather than waiting to react — and one shared concrete anecdotes of being professionally undermined by male colleagues' behaviour (monopolising meetings, unilateral rewrites, uncommunicative remote work) as evidence the problem is structural, not anecdotal. The main disagreement was over framing: one commenter pushed back that treating this as a "men" problem rather than a small-minority-of-men problem misdiagnoses the fix, arguing it would be more tractable to target the actual offenders or appeal to the small number of people with institutional power rather than trying to persuade an entire gender; this drew pushback that it misses the point of collective accountability. Another objected that justifying the critique via "male culture makes software worse" is a shaky foundation that would collapse if the technical-merit claim ever proved false. A few personal notes: one woman considering entering tech said the video was a stark reminder of what she expects to face; a manager stated zero tolerance for such behaviour on his teams. No real consensus — sympathetic agreement on the problem, unresolved argument on diagnosis and remedy.
A low-stakes, thin weekly check-in thread with no real disagreement or debate — just people listing personal projects and plans, so there's little "discussion" to digest. Highlights worth noting: one commenter is finalising a C plugin API for and plans a separate "next" branch to let LLM-driven contributions stabilise before merging, explicitly citing a need to avoid "vibe coding" instability in a project with serious production users. Others mentioned learning by implementing Minesweeper, hacking projector firmware to cut input lag from two frames to one for a -compatible display, porting infrastructure to , and reverse-engineering a Bluetooth label printer via the niimbluelib library for a home-automation project. A few people are dealing with burnout, job loss, or career uncertainty and used the thread for brief emotional support rather than technical content. Overall this is a social/community thread, not an argumentative one — no claims to verify, no corrections, no consensus to reach, just a snapshot of what various practitioners are tinkering with this particular week.
The thread splits over whether forking into "Ende" after Node compatibility is stripped out is a principled move or an overreaction. Several commenters thought the original post's tone was entitled, griping about Deno's end-of-life while the author's own announcement was itself vague about what is ending; one clarified the "EOL" actually referred to the author's own upcoming project, not Deno itself, which confused several readers. There's broad agreement that Deno lost the popularity race to , largely because Bun offers Node compatibility and built-in TypeScript support without a build step; one self-described former Deno employee said the pivot to Node compat owed more to Bun stealing attention than to VC pressure, contradicting a popular theory in the thread. Opinion divides sharply on removing Node compatibility again: some see it as the "right thing," restoring Deno's original design principles (permissions, sandboxing, no ecosystem baggage), while others warn it dooms Ende to a small library ecosystem, repeating history. A useful correction came regarding a common API spec proposal: one commenter noted already exists for this purpose but only covers web-standard APIs like fetch, not `node:fs` or `node:http`. No real consensus emerged; Deno Deploy's wind-down within six months was mentioned as added pressure forcing migrations regardless of Ende's fate.
This thread is largely a practical toolbox-sharing exercise rather than a disagreement. Commenters confirmed and extended the article's premise: is IPv4-only, with filling the equivalent role for IPv6 (and `ip neigh` working across both, unlike `arp-scan`). Several offered complementary discovery tools: (via `lldpd`) was repeatedly praised as underrated, since it surfaces hostnames from Windows machines and, on managed switches, which physical port a device sits behind; mDNS/`.local` hostname resolution and `nmap` were mentioned as alternatives, though one commenter noted `nmap` is too slow and useless against firewalled ICMP. A side-discussion covered home router DNS/DHCP shortcomings: most consumer ISP routers don't register DHCP hostnames into DNS properly, prompting some to run dnsmasq instead; MikroTik's RouterOS was noted to have finally added `add-dns-entries` settings for this, though one commenter called the implementation half-assed, still lacking dnsmasq's `ra-names` and solid DHCPv6 hostname support. No real friction in the thread — it reads as an appreciative exchange of networking tips, with the piece itself well-liked for its anecdotal writing style.
The thread is enthusiastic but tempered by seasoned hands noting OpenBSD/NetBSD desktop use remains a tradeoff of simplicity and security against raw performance. Several long-term users gave first-hand reports: one has run NetBSD as a daily driver for a couple of months on a cheap ThinkPad X250, with wifi, Bluetooth and suspend/resume all working; another installed OpenBSD on a ThinkPad T14 after FreeBSD wifi failed, and found the installer auto-detected the wireless card and firmware over ethernet, producing a working desktop immediately — a sharp contrast with older, much harder OpenBSD install experiences years back. A four-year OpenBSD daily-driver user reported it is noticeably slower than Linux, attributing this partly to OpenBSD disabling and similar mitigations by design, a tradeoff they accept. Another recalled Firefox taking nearly a second longer to start on OpenBSD versus Linux, though on older hardware and an unspecific vintage. A dissenting, more negative account came from someone using NetBSD for development work, citing breakage in -managed Python toolchains (a since-fixed case-sensitivity bug comparing OS versions), absent Android/iOS tooling, and no working `xrdp`, making remote GUI access impractical. Overall mild consensus: the OS is viable and improving for light desktop use, but real performance and dev-tooling costs remain.
A substantive thread given the niche topic, mostly technical clarification rather than disagreement. Commenters pressed the author (who turned up directly, apparently involved with the project) on ambiguous terminology: "topology" in the blog post means every cell has exactly five edges, not an abstract mathematical sense, and the pentagons are geometrically congruent on the underlying but only approximately so once projected onto the sphere — a trade-off the author says is geometrically unavoidable, though A5's pentagons hold their shape better under projection than a cube-based scheme like does. The main comparison point was against (Uber's hexagonal grid system): one commenter explained hexagonal tilings of a sphere always require exactly twelve pentagonal "defects," meaning hex systems like H3 can't avoid outlier cells either, so A5's pentagon choice isn't fundamentally different in that respect. A5's practical edge cited is its -4 subdivision (each resolution has 4x the cells of its parent) versus H3's aperture-7, giving more usable resolution levels. Someone also clarified that H3's area variance comes from its choice of , not from the hexagon shape itself. No disagreement reached, just steady clarification converging on a decent shared understanding.
Design coverage stayed in showcase territory this cycle: product experiments, studio profiles and international interiors, nothing that changes how designers work. The one story with real stakes is Washington DC's move to close and redevelop a historic public golf course over an active court challenge.
The childcare expansion is a real budget commitment affecting families across three more boroughs. Also worth tracking: the first corruption trial tied to the Adams administration opens without a jury, and the Council is close to a vote on the carriage horse ban after more than a decade of debate.
The closure is the sharpest sign yet of anger over cultural funding cuts spreading into France's museums; watch whether Art Basel Paris follows through on its promise to proceed as planned, and whether the Louvre reopens before the fair opens.
Earlier AI-produced proofs have gone unchecked by humans; this one didn't, which is what makes it trustworthy and gives the field a result it can build on rather than merely cite with caveats.
The finding shows a language model leaning on demographic cues in a task where gender has no bearing on the answer, a concrete reliability problem for clinical deployment. Most other work clusters around cutting training and inference cost, and around methodology for evaluating and auditing models rather than new capabilities.
The real movement is in credit and financing rather than sentiment: S&P's flag on hidden hyperscaler debt, Gartner's $3.5tn at-risk estimate and renewed scrutiny of CoreWeave's borrowing all bear on how the buildout is funded. Meta, SpaceX and Tesla earnings this week are the next hard test of whether the spending converts to revenue.
West Bank held News for 78 days and 38 headlines. Museum ran hardest in Art, 201 headlines in 78 days.
West Bank is the long one — 78 days, 38 headlines, peaking at 1 in a single run. Ukraine, West Bank are still running. Iran stopped after Oct 17.
Linux is the long one — 78 days, 35 headlines, peaking at 4 in a single run. Linux is still running. Rust stopped after Oct 15.
London is the long one — 76 days, 26 headlines, peaking at 2 in a single run. Daily Heller stopped after Oct 17.
York is the long one — 77 days, 106 headlines, peaking at 4 in a single run. Yorkers is still running. Queens stopped after Oct 16.
Museum is the long one — 78 days, 201 headlines, peaking at 5 in a single run. Museum, Basel are still running. Gallery stopped after Oct 16.
Earth is the long one — 78 days, 27 headlines, peaking at 2 in a single run. Earth, Alzheimer are still running. Arctic stopped after Oct 16.
LLMs is the long one — 78 days, 91 headlines, peaking at 4 in a single run. LLMs, ReLU, Monte Carlo are still running. Gaussian stopped after Oct 16.
Korea Kospi is the long one — 76 days, 4 headlines, peaking at 1 in a single run. Wall Street, Korea Kospi are still running. Burry stopped after Oct 15.
News is the heaviest at 6,783, Design the lightest at 3,227 — a 2.1× spread.
Research actually rebuilt on 215 of its 341 runs (63%); the rest stood in for themselves.
75% of all panels across the archive were rebuilt rather than carried.