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Experiencing Emacs Fatigue, I tried moving my notes from Emacs to Bear. Bear’s simplicity and cross-platform sync tempted me, but I disliked having my notes locked in an app. To avoid Emacs while keeping Markdown, I switched to Denote, which handles Markdown well; with one Emacs tweak and a Claude-assisted script, I exported Bear Markdown and converted filenames, links, and attachments. I briefly quit Emacs only to return. I might build a Denote-Bear sync bridge someday.
Bradley argues that the term "vegetative electron microscopy" is a misread caused by OCR errors from a two-column 1959 paper, not a real instrument; its appearance in modern papers signals low-quality, possibly fake science and reflects broader issues of AI-generated drivel, predatory journals, and editorial neglect. The phrase has led to retractions or corrections; its persistence undermines trust in science and underlines the need for better editing and editorial scrutiny.
Virginia Tech researchers found that two meals matched for calories and nutrients but differing in processing elicited different metabolic and brain responses. Ultraprocessed meals caused higher insulin release, greater energy expenditure, and a shift toward non-carbohydrate fuel, plus higher sustained blood glucose, compared with minimally processed meals. fMRI showed different activation in reward-related brain regions (ventral striatum, nucleus accumbens) linked to these metabolic differences. The study, with 32 participants completing both sessions, suggests food processing affects body and brain responses beyond macronutrients and may relate to overconsumption; further research is planned.
Nagare is a to-do app that treats calendar events and tasks as a single set of commitments in one list with optional times, enabling interleaved planning (e.g., study before a dentist appointment) without rigid schedules. Its minimalist UI moves times and checkboxes to the right and uses subtle glows on items in priority projects to surface goals. The app tracks plans vs. completions and syncs via iCloud, exposing context to an agent through MCP for proactive reminders and suggestions. Nagare is available for iPhone and Mac on the App Store.
Kyushu University researchers developed a non-wearable VR system mounted on a chair, using aerial imaging optics and a micromirror array to create a stereoscopic view without a headset. A built-in gyroscope tracks chair rotation, so the view updates as users turn, delivering theater-like VR in a compact space. The approach could reduce VR sickness and allows larger optical components. They seek industry partners for applications from in-car workspaces and museums to disaster-response robots, and aim to let two people share the same immersive scene, akin to an 'Anywhere Door.'
Next.js 16.4 makes Cache Components the default, enabling cached UI parts for fast client navigations and instant server rendering. It adds cacheComponents and partialPrefetching flags, ensureStatic for static shells, and navigation/prefetch controls to balance static vs dynamic content. New agent features include --agent upgrade and agentFeedback. Other gains: smaller disk cache, lazy server HMR, a shared Turbopack runtime, smaller production bundles, React 19.3, and experimental Rust React Compiler with turbopackRustReactCompiler; plus disk cache cleanup, lazy dynamic imports, worker threads, and enhanced Turbopack Bundle Analyzer. Upgrade via canary and Skills.
The author argues that POSIX-like OSes waste optimization opportunities because compilers, build systems, and package managers don’t share dependency and resource information. By tightly integrating the compiler, build system, package manager, filesystem, and scheduler, whole-program optimization can be done earlier and across components. Benefits include incremental, function-level compilation, cross-package awareness, and safer atomic upgrades, with potential disk-space savings via deduplication. A speculative architecture (e.g., libfour and four-exe) illustrates cross-boundary optimization and declarative upgrades, inviting further exploration.
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Alex Wang argues frontier neolabs face two moonshots—breakthrough research and a scalable business. Testing big ideas is costly, so he proposes pre-registered acquisitions or pull funding: set a price upfront to acquire a team or its moat if it hits a target. This mirrors pharma’s discovery/development split and existing acquisition anchors. Open offers (benchmarks with fixed buyout) or private options (agreed price if goals are met) reduce Arrow’s information paradox and de-risk investment, increasing odds of breakthroughs. AI profits must come from acquisitions or durable moats, not patentable training recipes.
Telegram Desktop had a high-severity flaw (CVE-2026-107181) enabling account takeover via IPC injection. An unescaped semicolon in a crafted tg:// link sent through a browser can cause the Telegram running instance to misinterpret multiple commands, allowing an OPEN: payload to reach interpret:, which reads arbitrary files and exfiltrates them to a chat. If an attacker supplies three instruction files (tdata/key_datas, tdata/D877F783D5D3EF8Cs, tdata/D877F783D5D3EF8C/maps), the victim’s session can be reconstructed and the account hijacked. Fixed in 7.2.9. Mitigations: upgrade; disable auto-download; limit group invites; set a local passcode.
Satirical critique of U.S. lobbying: corporations and wealthy donors fund reelection campaigns and Super PACs, paying for ads, perks, and private jets. Politicians then heed donor interests when drafting laws and may take lucrative post-office consulting gigs. The piece insists this isn’t bribery, just a system of influence, and ends with a playful aside about the singularity and the author.
Could not summarize article.
The Alchemical Transformations of the Mutus Liber (1677) is a mainly image-based text that encodes a “humid way” to the Philosopher’s Stone in fourteen plates. It offers stepwise procedures—from harvesting dew and distilling it to fermentation, purification, and combining salts and coal to yield the stone—and invites symbolic readings (male/female, Sun/Moon) alongside a Flamels’ legend later revealed as a hoax. Published during a 17th‑century revival of alchemy, it sits beside early science and figures like Bacon and Boyle. Carl Jung later read Mutus Liber as a path to inner transformation; its motto urges study and labor.
Broad Institute and UMass Chan Medical School scientists launch the first-in-human trial of a prion-disease drug candidate, a divalent siRNA (PRiSM) targeting prion protein mRNA. The phase 1 study will enroll 15 symptomatic prion-disease patients to assess safety and dosing; an observational arm of 15 additional untreated participants is included. The divalent siRNA aims to lower brain prion protein and slow disease progression. FDA IND cleared March 2025; NeuroNEXT/NINDS funds with Mass General and University of Iowa sites. Results will inform future trials and data sharing.
Eye of Sauron (ESauron), a proof-of-concept system for long-range detection and positioning of hidden spy cameras (wireless, wired, and offline). By exploiting inbuilt memory EM radiation generated by memory operations during video encoding, ESauron detects camera activity via EMR bursts triggered by scene changes. The prototype can sense memory EMRs at distances over 20 meters and locate cameras with 100% accuracy after four stimuli, even through obstacles. The work is from USENIX Security 2024 by Zhang, Liu, Xinyu Zhang, Cao, Zeng, Jiang, and Jin.
Autonomous trucking promises safety gains and lower costs, but progress is slower than hype. Barriers include multi-state regulation, liability, and safety standards; sensor stacks and vision-language models improve reliability, targeting Level 4 autonomy, while Level 5 remains distant. Aurora and Kodiak lead deployments; DaaS vs. TaaS business models shape margins. Adoption is uncertain and likely moderate by 2035; 2028 could be a tipping point if OEMs scale. Safety claims hinge as much on regulatory investment and public infrastructure as on tech, with labor and maintenance costs complicating the economics.
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Could not summarize article.
Jane Street intern Kavish built an autoregressive diffusion model for four years of US equity events (timestamp, price, type). They compared denoising diffusion probabilistic models (DDPM) and flow-matching; DDPM was unstable at high noise, while flow matching performed better. Market data is partly continuous and partly discrete, with sharp discontinuities (zero-time gaps, ticks). To handle this, Kavish split some targets into more discrete classes and later invented atom smoothing to preserve spikes without sharp discontinuities. Results show improved marginals and realistic samples, but not yet a fully realistic generator; the work clarifies how to balance discreteness and diffusion.
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