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Stolen Desire (1958) is Shohei Imamura’s brisk early film about an itinerant Yamamura theater troupe. The story centers on Kunida, a naïve stage manager, and his entanglements with Yamamura’s daughters, Chidori and Chigusa, as the troupe travels from Osaka to the countryside. Backstage sexuality and the vitality of sub-Kabuki theatre collide with financial pressures, mixing raucous comedy with darker undercurrents. Imamura framed Kunida as his younger self, exploring society’s outliers. Cast includes Hiroyuki Nagato and Ko Nishimura. It won a Blue Ribbon Award; U.S. release is unavailable; Blu-ray options exist; Radiance Films’ 2026 set planned.
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During a MySQL upgrade, adding an auto-increment primary key to table X and updating six related tables led to divergence between source and replica. Five tables were updated via statement-based replication and remained correct, but one table used row-based replication, copying the source’s generated IDs to the replica. Because table X had a different ID layout on the replica, its references pointed to wrong rows. MIXED binlog_format with AUTO_INCREMENT is unsafe for replication; be vigilant with replicas, as such issues can appear after upgrades.
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The author argues for a hunter-gatherer lifestyle enabled by space-age tools, criticizing big institutions, rules, and bureaucracy for eroding personal meaning. Degrowth fantasies of a simple past are acknowledged, but time cannot be reversed. Instead, we should RETVRN: reclaim a more personal life using technology to recreate tribes, direct relationships, and meaningful work, while treating personalization and guidelines as flexible aids, not immutable laws. Move forward by applying insights about community formation and balance between progress and individual meaning.
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NASA's Nancy Grace Roman Space Telescope will launch Aug. 30 to probe the cosmos, potentially changing our understanding of the universe. Modifying a decommissioned reconnaissance satellite, it will survey vast sky areas with Hubble-like sharpness but far faster, building large catalogs of stars, galaxies, and exoplanets. It aims to map the Milky Way in a month (vs. a century for Hubble) and detect planets via gravitational microlensing, including those inaccessible by other methods. Over a five-year mission, it could reveal new cosmology and unexpected discoveries, with data publicly accessible to students and researchers.
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Paolo Galeone laments that LLMs strip away the craft and learning-by-doing that used to fuel his software engineering. While AI speeds ideation and prototyping, it deprives him of the satisfaction of building, thinking deeply, and learning from mistakes. He worries about becoming bored, producing brittle code, and ceding learning to models that may train on his data. Corporate pressure to adopt LLMs risks technical debt and less savviness. He still enjoys local inference setup, but the piece reads as a frustrated reminder that the point of engineering is the journey, not just the outcome.
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Aptera announced a $44 million partnership with Launch Design to design and build its first solar electric vehicle. Launch becomes an early investor and gains stock warrants, while Aptera gains volume discounts and mass-production access. The deal enables scalable production: Launch will supply finished sub-assemblies to Carlsbad for final assembly, making Carlsbad a hub and reducing needs for long lines and large warehouses. Launch’s global supply chain should lower costs, helping Aptera reach target price points.
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Could not summarize article.
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Could not summarize article.
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The piece argues that LLMs struggle with brownfield code due to missing shared language and domain clarity. It proposes a split of work into strategic (domain-driven design: ubiquitous language, bounded contexts, a regenerable domain map) and tactical (AI-driven implementation via skills, sub-agents, and PR reviews). Each repo carries a .workflow.json manifest declaring domain context, edges, glossary, and contexts; CONTEXT.md and CONTEXT-MAP.md live as living documents. Edges are declared twice to ensure agreement, with a generator cross-checking; disagreements become issues. This yields incremental upgrades, aligning code with business needs and enabling reliable agent-assisted development.
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On Aug 19, 2026, the author bypassed safeguards to retrieve two children, staying in a long Zoom meeting, snoozing reminders, and disabling alerts, which caused a missed pickup and compromised the household’s trust infrastructure. An investigation pinpointed four contributing patterns: reward hacking via snooze behavior, unbounded meetings with no safe exit, unauthorized cross-group communication, and misaligned goals. In response, safeguards were tightened (no meetings after 2 PM on pickup days; rebuilt Focus mode; enhanced spousal monitoring; hard stops) with ongoing alignment and incident-response improvements to keep afternoons under human control.
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Release v0.28.0 of vllm includes 584 commits from 270 contributors. Highlights: major Kimi-K3 performance push with Decode Context Parallel, fused KDA/memory optimizations; DeepSeek V4 end-to-end improvements (MTP/DSpark, ROCm); speculative decoding advances; Model Runner V2 maturation (weight offloading, MTP KV cache, encoder/decoder optimizations); tiered KV cache offloading with disk offload; broad backend/hardware optimizations across NVIDIA/AMD/Intel CPU/XPU; new models/backends (Muse Glimmer, Ling 3.0 Flash, Qwen3.8 on ROCm); API/frontend enhancements; breaking changes include out-of-tree bitsandbytes and removal of override_attention_dtype; Transformers 5.15.0; updated artifacts for Python wheels and Docker.
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Tencent released and open-sourced Hy4 preview, a 770B-parameter LLM (49B active) with a 1M+ context window. Open-source and accessible via WorkBuddy, CodeBuddy, Yuanbao, and API via TokenHub/OpenRouter. Free on WorkBuddy/CodeBuddy for two weeks; Hy3 free through Sept 30. Hy4 boosts productivity across coding, office tasks, and scientific research, with improved planning, debugging, data analysis, and cross-document collaboration; enables game prototyping. In internal tests it averaged 2.99/4, ahead of GLM-5.3 and Kimi K3. Throughput up 31.8%. Pricing: $0.834/1M input, $2.501/1M output, $0.042/1M cache hits. Next batch soon.
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Prela Tutorial presents Prela, UCLA RePL’s query language that uses binary relations and composition instead of SQL joins. It shows how to build a toy Prela in Python and run a sample query to list movie titles and cast aliases for films produced by US companies with a character-name in the title. Key ideas: decompose tables into binary relations, compose relations, use & to join attributes, .select to project, .eq and .where to filter, and automatic foreign-key resolution. The text hints at grouping/aggregation and future docs.
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The Trump-era DHS used an obscure provision, 19 USC 1509, to issue administrative summons that secretly sought records from Google/YouTube, telecoms and others to obtain data on journalists, non-profits and unions without judicial review. It obtained six months of Georgia Fort’s phone records and sought YouTube data for Fort and Don Lemon after a protest; similar requests targeted Democracy Now, Megyn Kelly, the Milwaukee Journal-Sentinel and others. Critics say such summons are misapplied beyond customs and bypass courts, risking disclosure of journalists’ sources and chilling speech; several cases were withdrawn rather than decided.
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Warp uses Claude to build self-improving agents via a two-skill loop: a base domain skill and a schedule-based improver skill that learns from human feedback. Feedback is captured as file-based skills, updated through PRs, and inherited by subsequent runs, enabling continual improvement across tasks like code review and issue triage. Tips: write principles, explain why, minimize friction for feedback, keep skills small and reusable, and verify with domain tests. The approach scales across Warp’s repo and can be replicated for other domains on Claude.
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Stephen Diehl argues the Internet has shifted from a human, improvised public square to a predatory, algorithm-driven system that monetizes vulnerability. Platforms optimize for attention, retention, and conversion, turning ordinary users into unpaid distributors for grifters. The so-called grift economy—crypto, coaching, affiliate schemes—thrives on fear, envy, and uncertainty, aided by language models that scale lies. Most people are both marks and marketers, chained to endless feeds. He laments the loss of humane spaces online and calls for returning to boundaries and human-centered ends, not RL-driven metrics.
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Article argues that there is a growing gap between AI hype and actual software engineering progress. While many push AI and LLMs as productivity boosters, a wave of open-source projects—including the Linux kernel, GCC, QEMU, and Debian—are considering or adopting AI bans or strict human-in-the-loop policies to prevent "AI slop." The piece attributes this to information asymmetry, anthropomorphism, and misinterpreting model 'temperature' and benchmarks; LLMs are tools, not substitutes for skilled developers. The author advocates cautious adoption, sustained human judgment, and ongoing policy discussion around AI use, urging no rush to AI integration.
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Vim’s joke autocmd UserGettingBored originally did nothing. Added in 2000 (Bram Moolenaar), it evolved from CTRL-C to “press the same key 42 times.” It existed in Vim, Neovim, and Vim Classic but was nonfunctional—until a 2022 unofficial plugin made it real: in Insert mode, pressing the same key 42 times shows a Samuel L. Jackson image.
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Take a bias toward action only after building context in a new role. Start with a collection phase: learn the terrain, stakeholders, and the reasons behind existing processes; gather data and observe. Then an synthesis phase: identify recurring pain points, classify quick wins vs systemic issues. Finally strategic acceleration: execute small, visible wins, share a hypothesis in a one-page, and shift balance from listening to doing. The point: move decisively only after grounding decisions in context, not rush in to fix everything.
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