Front-page articles summarized hourly.
Adam Levi tweeted that Shabat dinners are the only place they can get accepted to in San Francisco, with follow-ups about fintech/investment‑research work, a SF Tech Week hackathon, and open DMs for meetings in SF this week or NY next.
Mercenary Games Explained provides a technical breakdown of Mercenary (C64, 1985) by Paul Woakes. It covers rendering Targ (one building at a time), the 256×256 world with remote locations, and 174 underground rooms. It surveys 64 objects, the flight model and motion records, and SID sound with Benson’s on-screen printer. It summarizes the 51 event scripts, money in BCD, two‑byte log/arithmetics, eight line-draw routines, and the controls, opening sequence, and protection quirks. It notes listing.json data and attribution (CC BY‑SA/MIT).
Интерфейс «Космос сейчас». Управление: тянуть — вращение; колесо — зум; двойной клик — лететь к телу; WASD — полёт; R/F — вверх/вниз; Q/E и стрелки — поворот; Shift — ускорение. Клик по названию группы — подсветка; 👁 — показывать орбиты; UTC; данные обновляются; обновить страницу.
Galaxy Game, the first coin-operated Spacewar game, debuted in 1971 at Stanford’s Tresidder Union. It ran on a PDP-11/20 with 8K core and an HP 1300A vector display, emulating Spacewar from MIT’s PDP-1 lineage. Despite long lines, the hardware wasn’t profitable; a 1972 revision let one PDP-11 drive multiple consoles. It operated until 1979 when the display processor failed. Restored in 1997, it is now being reanimated at the Interim Computer Museum. The PDP-11 power supply has been rebuilt and the HP displays are being refurbished; you can play it via MAME and support restoration.
Memory suppliers are destroying the consumer market by moving to long-term, large‑volume agreements (LTAs) that prioritize cloud providers over individuals. Micron, Samsung, and SK Hynix are locking in 3–5 year LTAs and allocating 50–70% of output to top customers, shrinking RAM/SSD supply for consumers. This fuels cloud‑infrastructure growth, drives steep price increases for RAM and SSDs, and may reduce volatility but raise the floor for consumer costs for years. NAND may loosen sooner, but DRAM remains tight; policy and Chinese memory players add further uncertainty.
TurboGPT is a CUDA-only tiny byte-level GPT trainer. It builds with Windows Visual Studio 2022 and CUDA 13.4 using build.ps1. The repo contains C++/CUDA training code (train.cpp, trainer.cpp, model.h, etc.). Run turbogpt.exe --data hn1g.txt --log to produce a checkpoint at runs/ctx4/ctx4.pt and TensorBoard-compatible logs; report.json is at runs/ctx4/report.json. Resume with --load CHECKPOINT.pt. After 1.5B training tokens, the result is 2.52435 BPB. MIT licensed; includes tests/verify.py.
Anthropic analyzes GLM-5.3 from Zhipu AI, released without robust safeguards, finding attackers can bypass protections in 64–100% of tests using simple techniques, unlike Claude models. In end-to-end exploit benchmarks, GLM-5.3 produced working exploits in 50/410 attempts; in OSS-Fuzz, full control-flow hijacks in 4% (vs 6% for Mythos Preview). Human experiments uncovered unknown browser vulnerabilities and chains enabling remote file reads; GLM-5.3-Flash exploited CVE-2026-11645, bypassing PAC on ARM64. Abliteration and deceptive prompts further erode safeguards, expanding attacker capability. The report urges safety testing, wider defender access, and caution about open-weight models.
During the June 1967 Six‑Day War, 14 ships from eight nations were trapped in the Great Bitter Lake inside the Suez Canal. The Agapenor’s crew witnessed air attacks and lived in limbo for years as food dwindled and communications faded. They formed the Great Bitter Lake Association (GBLA), abolishing nationalities and organizing church services, sailing, football, and stamp‑making. After negotiations, ships were finally released when the canal reopened in 1975. A 2017 reunion at Merseyside Maritime Museum recalled a multinational, cooperative community born from crisis.
A Bain & Company report argues the AI industry must generate about $6 trillion in annual revenue by 2031 to justify the surge in data-centre investment, with roughly $4.2 trillion from new products (search, advertising, autonomy, physical AI), $1–1.4 trillion from enterprise productivity, and $200–400 billion from consumer services. AI infra spend could hit about $1.5 trillion a year by 2031 for new facilities, GPUs, memory and networking. Data centres scale ~every 12–16 months; Meta's Prometheus could reach 9 GW of capacity and around $200 billion by 2030. Key challenges: power grids, GPU supply, skilled staff, and regulation; governments backing growth and partnerships.
Could not summarize article.
U.S. Postal Inspection Service and partners seized LabelsBank.com and charged Faheem Akram, a Pakistani national, with operating an unauthorized site that sold more than 5.1 million counterfeit USPS postage labels to about 5,000 customers at a fixed $2 per label, causing over $126 million in losses. Akram faces counts of conspiracy to defraud, making/selling counterfeit postage labels, and wire fraud. The domain was seized and the website shut down, with authorities pledging further action against those defrauding the Postal Service.
TypeSafe AI's Jev is a model that converts context and possible answers into typed decisions, returning choices, scores, and probabilities as JSON. It supports speculative fan-out, confidence-gated routing, composite scoring, and intent routing, enabling probabilistic, scalable pipelines. To sidestep JSON bottlenecks, the authors designed an Arrow schema for Jev’s answers (Choice, Noul, Score) with metadata, allowing consumption by analytics tools. Since Jev lacks a bulk endpoint, they built Jevaro, a Python/JS proxy that batches states and questions and streams Arrow results. Throughput: ~464 states/s on 10k tests; cost about $0.20/30k answers. They want a native bulk Arrow endpoint.
Gouged argues inflation-era price hikes come from corporate price-setting, not demand, aided by pricing consultancies, consolidation, and AI. It details RealPage’s rent pricing, Uber’s upfront pricing, Instacart price variation, and data-driven discrimination by insurers, McDonald’s, and Starbucks. Owens calls for a modern Shoppers’ Bill of Rights to ban algorithmic price fixing and surveillance pricing, require upfront all-in prices, curb daily price changes, and ensure fair wages—urging lawmakers to curb anti-competitive practices.
NAND-16 is a computer built entirely from 277,248 NAND gates.
Relapse-Exploit is a PS5 exploit chain for firmware 7.00–13.60. It guides users to configure network DNS (45.56.67.85), run python serve.py locally or open ntfargo.github.io/Relapse-Exploit/ on PS5, and use payloads stored in payloads/ with the ELF loader listening on port 9021. The browser stage uses JSC info leaks and a structured clone pool mismatch to corrupt a typedarray; the kernel stage combines an address leak with an aio_multi_wait UAF race to achieve kernel read/write. Credits and a safety disclaimer emphasize educational/security research and legality.
Tcl/Tk 9.1.0 is the development release aiming for Sep 2026, adding Unicode normalization, a monotonic timer, list filtering (lfilter), interp set, enhanced subst and switch options, and many C99 math expr functions. It requires an initialization call (Tcl_FindExecutable or TclZipfs_AppHook) and adds new Tcl APIs (e.g., Tcl_IsEmpty, Tcl_GetEncodingNameForUser) and list/time routines (ListObjRange/Repeat/Reverse; time API uses long long). macOS path case-insensitivity; Windows search refinements; memory-efficient lists; 64-bit size support. Tk 9.1 adds accessibility/RTL support, a new ttk::toggleswitch, tk attribtable, Aqua improvements, rotated labels, dialog width limits, better listbox colors, and XP removal. Site: tcl-lang.org.
Platform teams must invent work by reading signals from four sources: system, users, organization, and industry. System signals: crash-led discovery (postmortems reveal fixes but are lagging and biased toward loud failures), cost (cloud bills, buy-vs-build), and toil (hidden, affects economics). User signals: continuous discovery (talk to users about pains), overloaded use-cases (users improvise; decide which to assimilate), and partner-to-prototype (joint exploration). Organization signals: OKRs and the manager-repetition heuristic. Industry signals: descriptive writing can become prescriptive; lag/arbitrage in trends. The key is to prioritize informative, timely signals over the loudest ones.
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