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Front-page articles summarized hourly.
US residents are increasingly opposing datacenters, pushing moratoriums and recalls of officials who approve projects amid concerns about energy and water use and secrecy around negotiations. In Lenox Township, Michigan, residents moved to recall four trustees after undisclosed talks about a proposed datacenter. Similar recalls have surfaced in Festus, Missouri, and Yukon, Oklahoma, while Luther, Oklahoma, enacted a six-month moratorium. Nationally, about 75 datacenter projects worth roughly $130 billion were blocked or delayed in early 2026. The activism spans parties, centering on transparency and potential economic and environmental impacts.
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pxpipe is a local proxy that reduces token usage for Claude/Fable 5 by converting bulky context (system prompts, tool docs, long histories) into compact PNG images before sending requests. The approach yields end-to-end token savings of about 59–70% (roughly 72–74% on compressed requests), though results vary by workload; it is lossy and verbatim recall from images can be unreliable. It leaves user messages and model outputs as text, supports configuration (PXPIPE_MODELS, per-model imaging), and logs per-request data to ~/.pxpipe/events.jsonl. Run with npx pxpipe-proxy; access a live dashboard at the local host.
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FIDE's Ethics & Disciplinary Commission found former World Champion Vladimir Kramnik guilty of multiple violations of the FIDE Ethics and Disciplinary Codes, including dignity, bullying, psychological abuse, and failure to cooperate with the investigation; some charges were dismissed. He received a two-year worldwide ban from FIDE events and official functions, with the last 12 months suspended on a three-year probation, making the active ban one year if no further breaches occur. He must complete 12 months of unpaid service to the chess community. The decision may be appealed within 21 days. It did not assess the anti-cheating methodology.
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Experiments show that access to past session transcripts adds no real performance benefit for software‑engineering tasks, and automated memory of transcripts often harms quality by wasting tokens and expanding costs. Agents don’t effectively prune context and treat all input as ground truth, so memory traces can degrade decisions. Transcripts may help with team observability, but they don’t improve agent performance. The authors advocate focusing on code artifacts—docs, PRs, commit messages—and using human-in-the-loop or selective updates rather than automatic transcript indexing for evolving agent context.
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This article advocates a three-tier persistent memory stack for production AI agents: Zep (session logs), Mem0 (personalization), and ContextNest (governed corporate knowledge). Zep preserves conversational context; Mem0 stores user preferences; ContextNest provides deterministic, version-controlled facts via Git-backed markdown vaults with SHA-256 hashes and steward approvals. Together they reduce stale data and hallucinations, lower token costs, and improve latency. Zep/Mem0 use SDKs/APIs, while ContextNest uses a native Model Context Protocol server. Governance, versioning, and pruning ensure only current, approved knowledge is exposed to the LLM.
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The piece explains how U.S. oats, once domestically grown, declined due to mid- to late-20th‑century policy shifts that favored corn, soy, and CRP programs, pushing production north of the border. Canada expanded oat acreage and, after trade liberalization and Wheat Board reforms, supplied U.S. mills with oats. Kerry Manuel, the author’s father, helped forge a cross-border chain by outworking rivals and innovating logistics (Great Lakes freighters, modified elevators). With rising oat demand and a new Minnesota mill, can the supply chain be remade to support U.S. farmers and soil health?
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Jimmy Maher traces Maxis's rise through SimCity and its spin-offs, arguing that the studio’s simulations—SimEarth, SimAnt, SimLife, and SimFarm—pursued big ideas about systems, biology, and distributed intelligence, even as they competed with more accessible titles. SimCity’s success, real-time play, and sandbox design helped spawn the city-builder genre and influenced later games (even Civilization’s real-time roots). The piece covers Maxis’s expansion, including SimCity 2000 and its polished sequel, the SNES port guided by Miyamoto, and the company’s out-of-house projects. It also links SimEarth to Gaia theory (Lovelock) and notes market challenges in selling such abstractions.
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The piece critiques AI hype that promises to replace professionals, arguing that artifacts are not work. Tools like compilers, spreadsheets, and CAD didn’t eliminate experts; they shifted what they could do and how they understand problems. AI tends to produce visible outputs while ignoring the value of the underlying process and decision-making. Marketing ideas like AI cyberweapons mislead and distract security researchers. With investors demanding ROI, companies chase hype instead of sustainable value. The dream is AI that assists experts (e.g., in medicine) to diagnose and innovate—so give smart people the tools to do smart things, not replacements.
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Matt Webb recounts visiting his kid’s school to discuss manufacturing and making an AI clock. He shares prototyping steps—from sketches and CAD to 3D printing and injection molding—along with factory-floor glimpses. He resists awe-inspiring factory depictions, aiming to demystify production and empower children to become designers, engineers, and makers. The core idea: factories are just rooms; with hands-on exploration, everyday objects were made by people, and those people could be them too.
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Derek Thompson revisits the 1926 government study Recent Social Trends, a 1,500-page portrait of America on the eve of the Great Depression. He draws parallels to 2026: tech disruption, immigration fears, wealth anxiety, and mass media shaping identity. But 1926 was more rural; urban growth, rising female labor, Prohibition, and car culture defined the era. The authors warned that modernization could erode traditional values even as it promised progress, and even forecast remote work and other future tech. Thompson concludes many 20th-century anxieties persist today, with markets and money as a defining national value.
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The piece explains a long-standing SQLite WAL checkpoint bug that could corrupt the DB due to a race between checkpointing and WAL reset. The authors model SQLite and dqlite behavior in TLA+ to see if dqlite is affected. They show that dqlite’s stop-the-world checkpoint and extra locking prevent the race, so dqlite isn’t affected. SQLite disclosed and fixed the bug in March 2026 by adding a check to ensure the WAL hasn’t been reset since the checkpoint started; this fix prevents data loss in model checks.
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jamesob/local-llm is a practical guide to running state-of-the-art LLMs locally. It outlines cost tiers ($2k for 2x RTX 3090s for Qwen3.6-27B and STT; ~$40k for 4x RTX 6000 Pro), a hardware plan (last-gen EPYC, PCIe Gen4 switches, GPU enclosure), and a workflow (cache weights locally in ~/storage, per-model docker-compose, serve via http://clank.j.co:5000). It covers BIOS/kernel tweaks (iommu off, ACS disabled), power limits (350W per GPU), and performance metrics (Gen4 x16 ~30 GB/s, P2P ~27.5 GB/s, ~0.4 µs latency).
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Best Simple System for Now (BSSN) is a middle path between perfectionism and pragmatism. It means building the simplest system that meets current needs, written to an appropriate standard, with no extraneous code and no future-proofing. It rejects predicting the future and instead evolves the system as requirements change. It favors “just start,” lightweight sketching, and early delivery, using cost-of-delay and risk-adjusted ROI to justify progress. It also promotes CUPID-quality code (Composable, Unix-like, Predictable, Idiomatic, Domain-based) and humble habits, courage, and humility to keep systems evolvable.
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A critical, memory-anchored timeline of AI coding hype from 2022 to around 2033. It follows repeated "goalposts"—snake games, exams, demos, production promises, and grand claims of autonomous programming—pulled from real quotes (Stack Overflow, Nvidia’s Jensen Huang, Karpathy, METR) and paraphrased comments. The piece shows demos being staged, instant evaluations, and the persistent gap: AI struggles with true engineering tasks, legacy code, accountability, and shipping features. By 2025–26 skepticism proved warranted in many cases, even as AI becomes ubiquitous as a coding aid; future promises remained aspirational rather than realized.
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OM Core is an open-source, alpha-stage multidimensional modeling engine for structured financial, operational, and analytical models. It replaces spreadsheet grids with Dimensions, Cubes, Groups, Rules, and Views, with grids as projections of the model. The project emphasizes explicit, auditable structures for easier maintenance. The repository includes the full alpha stack (engine, GUI/TUI/REPL, runtime, scripting, storage, tests) and default config in .om. Installation is from source (Linux/macOS: start.sh; Windows: start.ps1) using uv for a Python virtual environment. Licensed under AGPL-3.0.
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Gemini Code Assist on GitHub uses a Gemini-powered agent to review pull requests: it automatically summarizes PRs and provides in-depth feedback to speed reviews and improve code quality. Developers can interact in PRs via comments and the /gemini tag. Consumer version will shut down on July 17, 2026; Enterprise version connects GitHub to Google Cloud via Developer Connect (us-east1). It excludes .github/workflows files. Licensing: CC BY 4.0; code samples under Apache 2.0. Last updated 2026-06-29.
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Two professional red-teamers gained domain admin access by exploiting lax physical security. Posing as new IT staff who offered to shovel snow, they were let into the building. They hid a Raspberry Pi in the conference room and connected to an unprotected Ethernet port, then mapped the network, password-sprayed AD accounts (e.g., winter2023!), and exploited AD CS vulnerabilities to seize control. The breach went undetected for two weeks. Key takeaways: train staff to distrust outsiders, enforce port restrictions, strong passwords, and MFA.
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An overview of the screwworm crisis and its modern reemergence. Screwworms infest living tissue in livestock, causing massive losses across the US Southwest from the 1930s. Scientists Knipling and Bushland developed the sterile-male release method, using radiation to sterilize males, enabling large-scale control. Curaçao (1954) and Florida (1958) demonstrated viability, then a wide US-Mexico barrier (1962-66) and subsequent barriers across Mexico and Central America reduced or eliminated the parasite by the 1980s–1990s. By 2020s, barriers weakened; Panama and Central America saw outbreaks (2021-2025). New facilities and funding aim to re-eradicate over years, but breaches persist, demanding sustained effort.
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AI often excels at generating local code but struggles with global properties, says Laurence Tratt. He demonstrates this using Rust, showing how ownership, Send and Sync enforce data-race freedom so you can reason about concurrency from local code. By moving data between threads, using Arc for shared access, and introducing Mutex for safe shared mutation, Rust prevents data races without exotic sublanguages. The post argues that future languages could similarly encode global guarantees via local reasoning, reducing defensive checks in AI-generated code. While not all global properties are enforceable, such features—e.g., effects systems—could reshape programming.
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Zuckerberg, citing Reuters, said Meta’s shift to AI agents and a new structure hasn’t accelerated development or paid off. The piece traces this to 'vibes-based' management, past metaverse failures, and a late AI pivot that left staff directionless. It asserts that under Alexandr Wang Meta fired thousands, put AI in charge of moderation, and forced employee monitoring software to train agents, reflecting no clear strategy despite soaring AI hype.
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