Developer Tools B
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「エンジニアの代替ではなく、できることを増やす」 Devin開発元が見据えるIT外注大国・日本の“伸びしろ”Devin maker Cognition AI targets Japan, its No. 2 user baseCognition AI, maker of the autonomous AI engineer Devin, says Japan is its second-largest user base after the US. In a market where about 70% of IT talent sits on the SIer (system-integrator) side, Japan head Takumi Masai says the aim is not to replace engineers but to expand what they can do.
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July 2026 newsletterSimon Willison publishes his latest monthly newsletterDeveloper Simon Willison released the latest edition of his sponsors-only monthly newsletter. It rounds up recent developments across AI models and tooling—spanning GPT, Claude, DeepSeek, Anthropic, and MCP—offering an individual's closely watched view of the fast-moving AI landscape.
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Quoting Greg BrockmanSimon Willison quotes Greg Brockman on ChatGPT hooked into SlackSimon Willison highlighted a quote from OpenAI's Greg Brockman noting that many people connect ChatGPT to Slack, yet coworkers dislike being contacted by a colleague's ChatGPT. The remark captures the friction that arises as AI agents start operating inside workplace tools.
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datasette-apps 0.2a0Simon Willison releases datasette-apps 0.2a0Simon Willison released datasette-apps 0.2a0, an update to the Datasette extension. The release includes changes that improve building and editing Datasette Apps directly within Datasette, continuing steady development of the open-source data-exploration ecosystem.
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Cursor removed cost information from the usage page and CSV exportCursor removes cost info from usage page and CSV export, users push backAI code editor Cursor removed cost information from its usage page and CSV export, drawing attention on Hacker News. Users raised concerns about reduced visibility into their spending and usage, criticizing the move as a step back for transparency.
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Sponsored: Tackling complexity in AI data centers: leveraging fully integrated solutionsTackling AI data-center complexity with integrated solutions (sponsored)A sponsored piece argues that rising densities and a growing variety of equipment and services are driving complexity in AI data centers. It contends the market needs fully integrated solutions to manage this complexity rather than piecemeal components.
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Fridays With BobIEEE Spectrum column: 'Fridays With Bob' on finding a mentorAn IEEE Spectrum personal column in which the writer recalls being advised, 25 years ago, to find a 'rabbi'—a mentor—when starting out. The piece reflects on that mentorship and the lessons it offered over a long journalism career.
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BMW Spider-Man in-car advertisingBMW's in-car Spider-Man ads spark backlash over vehicle advertisingA Hacker News thread drew attention to BMW displaying Spider-Man advertising on in-car screens. Users criticized in-vehicle ads as harming the driving experience, fueling debate over the growing role of advertising as cars become increasingly software-defined.
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Co-Designing AI Model Attention for Fast, Interactive Long-Context InferenceNVIDIA details co-designed attention for fast long-context inferenceNVIDIA describes co-designing model attention with hardware to speed up interactive long-context inference. As agentic and long-context workloads grow, attention takes a larger share of inference time, and the approach targets that bottleneck for faster serving.
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Oxide and Friends: The Open Weight Revolution with Simon Willison'Oxide and Friends' discusses the open-weight revolution with Simon WillisonOn the Oxide and Friends podcast, Bryan Cantrill and Adam Leventhal hosted Simon Willison for a conversation on 'the open weight revolution.' Referencing DeepSeek, Anthropic, OpenAI, and Microsoft, they discussed how the rise of open-weight models is reshaping the AI industry.
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TokTier: Exact Stateful Tokenization for Agentic LLM Serving
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ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
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Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering
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Sign compression for Muon: SignMuon, MuonSign, and the Limits of Error Feedback
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Freeze, Then Select: Structured Field Adapters and Stability-Validated Weak Selection for PDE Discovery from Sparse Observations
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GQ-FSL: Green Quantized Federated Split Learning
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Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics
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AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers
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CENDRe: Concept Extraction with Natural Domain Representations
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When Does On-Policy Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning
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A Human-Centered Validation of the Explainability-Performance Coefficient
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WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning
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TOOD: Task-Aware Out-of-Distribution Score Calibration for Continual Learners
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ResKV: Reconstructing Omitted Attention Contributions for Fixed-Budget KV Cache Compression
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Sycophancy Undermines Epistemic Vigilance in Cooperative Vision-Language Tasks
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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models
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Pyramidal Width Can Increase Under Vertex Insertion
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ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation
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A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease
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TerraNova: A Foundation Model for the Anthropocene