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Nick Fitzgerald surveys modern program synthesis via counterexample-guided iterative synthesis (CEGIS) for loop-free, component-based programs, with a Rust+Z3 implementation. A program is built from a fixed component library and encoded as a location mapping; the synthesizer searches mappings realizing a spec for given inputs. CEGIS alternates between finite synthesis (exists L, P, R for a finite input set) and verification (exists inputs, O that violates the spec). The paper defines well-formedness psi_wfp, connectivity psi_conn, and library constraints phi_lib, plus the spec φ_spec. Benchmarks reveal speedups, cliffs on larger problems, and comparisons to Brahma/Souper, with optimizations and challenges.
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Senior Content Engineer at Lingo.dev (remote, full-time). Own end-to-end content: write, publish, distribute—blogs, research, changelog, product emails, newsletters, and social/SEO; automate with Claude; measure impact in Ahrefs, Search Console, and ads. Write for technical and non-technical readers; interview founders, engineers, and customers; craft stories aligned with Lingo.dev’s positioning. Publish weekly; scale with automation and data. Requirements: clear, fact-based writing; proven content with traction; capable of automating workflows; interview well; explain retrieval-augmented systems; write for engineers and non-technical audiences. Benefits: full content pipeline ownership, Claude tools, small team, travel budget, health insurance. Backed by YC/Initialized; remote worldwide.
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This text is a Cloudflare block page that prevents access to medium.com, citing a security service that requires cookies. It explains that certain actions could trigger the block, and to resolve it you should email the site owner with what you were doing and the Cloudflare Ray ID. It displays your IP and notes Cloudflare provides performance and security.
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Linux From Scratch (LFS) provides step-by-step instructions to build a custom Linux system entirely from source code. The project includes multiple subprojects: LFS (the core book); BLFS (Beyond LFS); ALFS (Automated LFS); MLFS (Multilib LFS for 32-bit support); GLFS (Gaming LFS for Steam/Wine); SLFS (Supplemental LFS); Hints (tips to enhance LFS); Patches (patch repository); LFS Editor's Guide; Museum (archives of older versions). ©1998-2026 Gerard Beekmans; site credits.
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OpenArm is an open-source 7-DOF humanoid arm for physical AI research and deployment in contact-rich environments. It emphasizes backdrivability, safety/compliance, and practical payloads, plus OpenArm Cell for standardized, reproducible experiments. A complete bimanual system costs $6,500 and supports teleoperation, imitation learning, simulation, and real-world data collection. The project seeks contributors, research partners, and collaborators, and provides extensive hardware and software repositories (ROS2, MuJoCo, URDF/xacro, CAD data, and tutorials) to enable development.
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Coleção Postman completa dos webservices da SEFAZ (NF-e, NFC-e, CT-e, MDF-e) com SOAP 1.2 e mTLS com e-CNPJ. Inclui configuração de certificados, URLs de produção/homologação, variáveis {{url}} e instruções para assinatura XMLDSig. Distribuições DFe (CT-e, MDF-e, NF-e) testadas em produção (cStat 137). Diferenças por serviço: CT-e e MDF-e têm particularidades de distribuição; NF-e igual ao CT-e com cUF autor. Geração de inventário com gen_inventario.py e build_collection.py. Mantido pela Stoix; MIT.
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Ex-FTC chair Lina Khan argues the federal government can use existing laws to curb AI risk, citing the 1934 FTC v. Keppel precedent that competition can be unfair when firms must adopt dangerous practices to keep up. She says laws on dangerous products and unfair competition can hold AI companies and executives accountable for releasing unvetted or defective models. She notes incidents involving OpenAI, Anthropic, and Hugging Face as examples and warns industry concentration raises risks. With political resistance to new regulation, enforcement may rely on current statutes rather than new regimes.
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Could not summarize article.
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At Saqqara, archaeologists uncovered a 4,400-year-old mastaba for senior official Younmin and his father Ity, dating to the late Fifth Dynasty under Djedkare Isesi. The two-chapel tomb preserves vividly colored reliefs: Younmin’s northern chapel with agricultural scenes and processions, and Ity’s southern chapel with offerings and a false door. The burial highlights the Old Kingdom administration—Younmin as judge, court director, and head of scribes; Ity managed land and offerings—linking state machinery to funerary practice. The site, in the Mariette Cemetery, has benefited from renewed Spanish‑Egyptian and Czech work since 2022–23, with modern documentation and pigment stabilization.
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Could not summarize article.
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Authors optimized their eBPF security agent by memoizing the policy decision per inode. Previously each file open walked the full path up dentries, repeating work. They added an inode-based LRU cache (mntns_id, mount_id, inode) storing an access_index and state. On a cache hit, enforcement uses the cached policy; on a miss, the slow path runs and the result is cached. In benchmarks (200k opens) kernel cycles dropped from 28B to 3.03B. They skip caching for inodes with nlink != 1 (hardlinks). The repo is open source at bomfather/agent.
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fcbnerd is a macOS command-line tool to use a Behringer FCB1010 MIDI pedalboard. It connects to CoreMIDI sources, and can either print one JSON object per event or stream events to another program. Bind actions to MIDI messages with patterns like channel:controller:value or pc:channel:program using --bind; commands run in /bin/sh -c and can access MIDI_* environment vars. It supports simulation, listing sources, and streaming to other tools; no extra permissions are required. Install via Homebrew tap JamesRyanATX/tap/fcbnerd or build from source. MIT license.
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dbt Labs open-sources dbt Charts, a YAML-based language that declares full interactive dashboards in code and can be authored via chat with an agent. It unbundles charts from traditional BI tools, using SQL for data and YAML/Markdown/Jinja for layout and logic. The language integrates deeply with dbt, placing charts next to models for single-branch CI, and supports extensive config, 16 chart types, and board inheritance. The CLI renders boards to SVG/HTML/PNG/PDF/terminal. They also launched dbtCharts.com, a hosted platform with conversational analytics and access control. The language is open source under Apache 2.0 and evolving.
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Explores a compact flag encoding using Huffman trees and a layered model (aspect ratio, color palette, stripes, shapes, regions) to represent national flags in bits. Criteria: recognizable designs, no state/coats-of-arms flags, no Nepal; excludes non-rectangular shapes. Encoding uses per-element Huffman trees and long-tail placeholders; layers define stripes, shapes, bands, regions. Example: Indonesia 2:3, two-color palette, one horizontal-stripe layer; bits 0 10 00 01 0 0 0 0; base64 "QgA="; average 76 bits, median 55; Qatar 420 bits longest. Implementation: encoder/decoder and SVG renderer; 470-line TS; 5.29 kB; 128 flags encoded, 67 not encodable; see miniflags project.
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Augmented Lagrangian Predictive Coding (PC-ALM) replaces backprop with layer-local dynamics by adding per-layer Lagrange multipliers to predictive coding. Each layer maintains a primal variable h and a dual variable λ; inference minimizes the augmented Lagrangian via local updates, and weights W are learned from shifted prediction errors. PC-ALM enables training of deep networks (up to 1000 layers) with near-backprop performance using only local communication. In linear nets the duals recover exact gradients; in nonlinear nets it narrows the BP gap, outperforming standard PC, with ballistic credit propagation and damped oscillations. Potential for neuromorphic hardware and brain-inspired credit assignment.
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Optimizing a Spin-Lock demonstrates a stepwise refinement of a spin-lock. V1 uses a naive atomic_bool exchange; under contention it slows and wastes energy. V2 adds memory_order_acquire/release, reducing misses and power. V3 introduces a read-only spin with _mm_pause and relaxed loads, further lowering latency and energy. V4 adds exponential backoff to desynchronize waiters, delivering the best results (e.g., 4 threads around 43 ns and ~12 J). The takeaway: use std::mutex by default; spin-locks help only on pinned threads after careful measurement, or use seqlock for many readers.
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Could not summarize article.
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An opinion-rich critique of Dario Amodei’s blog 'We Must Pace the Frontier' that labels his warnings as fear‑mongering and self‑serving; arguing frontier labs seek regulation, antitrust waivers, and tighter gating while claiming to defend democracy. The author alleges OpenAI/Anthropic misconduct, exposes a string of incidents, and mocks ‘RSI’ and ‘AGI top’ hype. It questions the use of external evaluators like METR and defends open testing, warns against censorship and distillation bans, and condemns China‑focused policy as exploitative, framing AI governance as akin to arms control rather than corporate protectionism.
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Oracle launched another round of layoffs in 2026, notifying staff via 6 a.m. termination emails as part of a broad restructuring. The company hasn’t disclosed how many were affected in this round, but fiscal 2026 cuts reduced about 21,000 jobs (≈13%), with ~141,000 employees before the latest layoffs. The restructuring cost rose by about $700 million to roughly $2.8 billion. Severance will be provided per the plan. Access to systems was cut early, and social-media posts documented abrupt terminations. Oracle has not said whether AI initiatives absorbed the roles.
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AI will soon be superhuman at much of mathematics, but human understanding remains vital. Litt proposes radical reform of mathematical practice: redefine goals beyond proving theorems to producing and conveying high-quality mathematics and mathematicians; adapt PhDs to a defense-based, topic-expert model (AI allowed, provenance irrelevant); reward understanding, question-asking, and ability to build research programs; emphasize seminars, public mathematical thinking, and deliberative admissions. Leave room for both AI-enabled and traditional work, while updating incentives and institutions to maintain human expertise.
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