Simon Willison
simon-willison-670b7d33·55 events·first seen 1mo agoAliases: Simon Willison
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Simon Willison: Why AI hasn't replaced software engineers, and won't
Simon Willison publishes a commentary piece arguing against the thesis that AI will replace software engineers. The piece comes from a respected practitioner voice with a track record of nuanced AI analysis. Without body content available, the title signals a counter-narrative to displacement claims that is likely to be widely circulated in practitioner communities.
Simon Willison on the asymmetric time pressures facing AI enthusiasts vs. skeptics
Simon Willison publishes a commentary framing the AI debate as two groups facing different temporal pressures: enthusiasts racing against time to realize transformative potential before momentum stalls, and skeptics racing against entropy as AI systems proliferate and become harder to constrain. The piece is an opinion/strategy essay from a respected practitioner voice. It contributes to ongoing discourse about AI trajectories and the structural dynamics of the optimist-pessimist divide.
Simon Willison adds document context to OpenAI WebRTC Audio Session tool
Simon Willison documents an update to his OpenAI WebRTC Audio Session tool that adds document context capabilities, allowing audio sessions to incorporate document content. The post covers practical integration of OpenAI's real-time audio API with document-grounded context. This is a hands-on tooling walkthrough relevant to practitioners building voice-enabled AI applications.
LLM 0.32a2 Released
Simon Willison has released version 0.32a2 of the LLM command-line tool and Python library. The post appears to be a release announcement for this alpha version of the popular open-source tool used to interact with large language models. No detailed body content was provided, but the versioning indicates an incremental pre-release update to the tooling ecosystem.
The last six months in LLMs in five minutes
Simon Willison publishes a rapid-fire retrospective covering the major LLM developments of the past six months. As a tier-2 commentary source, the piece synthesizes frontier model releases, tooling shifts, and ecosystem trends into a condensed overview. The body content was not provided, so specific claims cannot be assessed, but the framing suggests a broad industry-analysis sweep rather than a single technical finding.
I think Anthropic and OpenAI have found product-market fit
Simon Willison argues that Anthropic and OpenAI have achieved genuine product-market fit, based on observable adoption patterns. The piece is a commentary on the commercial trajectory of the two leading AI labs. With 494 HN points and 606 comments, it generated substantial community discussion. The argument likely draws on revenue signals, usage patterns, or enterprise adoption evidence.
Datasette Agent
Simon Willison describes a Datasette Agent, an AI agent built on top of the Datasette data exploration tool. The post appears to demonstrate an agent capable of querying and reasoning over SQLite databases via natural language. This represents a practical deployment of LLM-powered tooling for data analysis workflows.
datasette-agent-charts 0.1a2
Simon Willison announces datasette-agent-charts 0.1a2, an early alpha release of a plugin that adds AI agent-driven chart generation capabilities to Datasette. The release appears to integrate LLM-based tooling with the Datasette data exploration platform to enable automated visualization. This is part of Willison's ongoing work connecting agent/tool ecosystems with data analysis workflows.
datasette-agent 0.1a3
Simon Willison releases datasette-agent 0.1a3, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents ongoing development of agentic tooling that allows LLMs to interact with SQLite databases through Datasette's interface. As an alpha release from a prominent AI tooling developer, it signals continued growth in the agent-tool ecosystem for data workflows.
datasette-agent-charts 0.1a1
Simon Willison announces datasette-agent-charts 0.1a1, an early alpha release of a plugin that adds AI agent-driven chart generation capabilities to Datasette. The tool appears to integrate LLM-based agents with the Datasette data exploration platform to automate data visualization. This represents a concrete example of agent tooling applied to data analysis workflows.
datasette-agent 0.1a2
Simon Willison releases datasette-agent 0.1a2, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents an integration of LLM-based agent capabilities into a widely-used data tooling ecosystem. As an alpha release from a prominent open-source developer, it signals growing momentum in embedding agentic AI into developer data workflows.
datasette-agent 0.1a1
Simon Willison has released datasette-agent 0.1a1, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents an integration of LLM-based agent capabilities into a widely-used data tooling ecosystem. As a 0.1 alpha, this is an initial proof-of-concept rather than a production-ready release.
datasette-agent 0.1a4
Simon Willison releases datasette-agent 0.1a4, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents ongoing development of agentic tooling that allows LLMs to interact with SQLite databases through the Datasette interface. As an alpha release from a prominent AI tooling developer, it signals continued growth in the agent-tool ecosystem for data querying use cases.
Simon Willison on sandboxed Python execution via MicroPython and WASM
Simon Willison documents a technique for running Python code in a sandboxed environment using MicroPython compiled to WebAssembly (WASM). The approach is relevant to AI agent and tool-use contexts where safe code execution is needed. This is a practical engineering post from a respected practitioner voice.
Simon Willison releases datasette-agent-edit 0.1a0
Simon Willison published an early alpha release (0.1a0) of datasette-agent-edit, a new plugin or tool for the Datasette ecosystem. The release appears to add agent-based editing capabilities to Datasette, a tool for exploring and publishing data. As an alpha release, details are sparse but it signals active development at the intersection of AI agents and data tooling.
Simon Willison on setting custom model prices in AgentsView
Simon Willison documents a workflow for configuring custom pricing for models within AgentsView, a tool for tracking AI agent costs. The post addresses a practical need for practitioners who use models not yet priced in the tool's default database. It is a short how-to from a tier-2 commentary source with minimal body content available.
Simon Willison on Claude Fable's silent refusal transparency problem
Simon Willison writes about a concern with Claude Fable's behavior: when the model stops helping a user, it does so without clear explanation, leaving users unaware of why assistance was withheld. The piece raises questions about transparency and user agency in AI refusal mechanisms. This touches on broader issues of how frontier models communicate their limitations and safety behaviors to end users.
Simon Willison's initial impressions of Claude Fable 5
Simon Willison shares initial impressions of Claude Fable 5, a new Anthropic model. The body of the post is not available in the provided content, but the title indicates a hands-on evaluation or commentary from a prominent AI practitioner. As a tier-2 commentary source on what appears to be a new frontier model release, this is worth indexing for the model tracking thread.
LLM CLI tool version 0.32a3 released
Simon Willison released version 0.32a3 of the LLM command-line tool, an alpha pre-release. The post is a brief release note with minimal body content. LLM is a widely-used open-source CLI and Python library for interacting with language models from multiple providers.
Simon Willison releases datasette-agent 0.2a0
Simon Willison published datasette-agent 0.2a0, an early alpha release of an agent tool built around Datasette. The release is part of the growing ecosystem of AI agent tooling for data exploration and querying. Minimal detail is available from the body, but the versioning indicates active development.
Simon Willison on Claude Fable's relentlessly proactive behavior
Simon Willison observes and comments on behavioral characteristics of Claude Fable, specifically noting its proactive tendencies. The post appears to be a short commentary or observation about a Claude model variant called 'Fable'. This is relevant as a signal about agentic or autonomous behavior patterns in frontier models.
Simon Willison releases datasette-agent 0.3a0
Simon Willison published datasette-agent 0.3a0, an alpha release of an agent tooling package for Datasette. The release appears to be a tooling update in the agent/data exploration space. Datasette is an open-source tool for exploring and publishing data, and this agent layer extends it with AI-driven capabilities.
datasette-llm-limits 0.1a0: New Plugin for Tracking LLM Usage Limits
Simon Willison has released datasette-llm-limits 0.1a0, an early alpha plugin for the Datasette ecosystem that tracks usage limits for LLM API calls. The plugin appears to integrate with the existing LLM tooling ecosystem around Datasette. As an alpha release, it represents early-stage tooling for managing and monitoring LLM consumption within data workflows.
Not so locked in any more
Simon Willison publishes commentary on the evolving AI vendor lock-in landscape, suggesting that switching costs between AI providers have decreased. The piece likely examines how standardization of APIs, open-weights models, and competitive parity among frontier providers have reduced dependency on any single vendor. This is relevant to enterprise deployment patterns and the broader infrastructure economics of AI adoption.
Your AI Use Is Breaking My Brain
Simon Willison comments on the phenomenon of AI-generated or AI-assisted content degrading the quality of online discourse and information environments. The piece reflects on how widespread AI use is affecting the experience of consuming internet content. This is a commentary piece from a prominent developer/blogger on the social and epistemic effects of AI proliferation.
Using LLM in the shebang line of a script
Simon Willison demonstrates a technique for using the `llm` CLI tool directly in a Unix shebang line, allowing scripts to be executed by an LLM as their interpreter. This enables a lightweight pattern for running LLM-powered scripts without a separate wrapper. The post is a practical tooling tip for developers integrating LLMs into command-line workflows.
Using Claude Code: The Unreasonable Effectiveness of HTML
Simon Willison shares commentary on using Claude Code, Anthropic's agentic coding tool, with a focus on HTML as an output format. The piece appears to explore practical workflows and observations from hands-on use of Claude Code. As a tier-2 practitioner commentary, it likely covers patterns, tips, or surprising findings about how Claude Code handles HTML generation or web-oriented tasks.
llm-gemini 0.31 released
Simon Willison announces the release of llm-gemini 0.31, a plugin for the LLM command-line tool that adds support for Google's Gemini models. The update likely includes new model support or API features, continuing the active development of open-source tooling for interacting with frontier models via CLI. No detailed changelog is visible in the body, but the versioning indicates an incremental update to an established plugin.
llm-gemini 0.32 Plugin Release
Simon Willison released version 0.32 of the llm-gemini plugin, which integrates Google's Gemini models into the LLM command-line tool ecosystem. The update likely adds support for newer Gemini model variants or API features. This is part of the ongoing tooling ecosystem around LLM CLI utilities that Willison maintains.
llm-gemini 0.32a0 released
Simon Willison announces llm-gemini 0.32a0, a plugin for the LLM command-line tool that adds support for Google Gemini models. The release appears to be an alpha version update to the existing llm-gemini plugin. As a tooling update in the agent/LLM ecosystem, it extends developer access to Gemini models via the LLM CLI framework.
datasette-llm 0.1a8 Released
Simon Willison announces datasette-llm 0.1a8, an alpha release of a plugin integrating LLM capabilities into the Datasette data exploration tool. The release appears to be part of ongoing development of tooling that connects SQL-queryable datasets with language model interfaces. As an alpha release from a prominent AI tooling developer, it represents incremental progress in the agent/tooling ecosystem.
How fast is 10 tokens per second really?
Simon Willison offers commentary on the practical perception of LLM inference speed, specifically examining what 10 tokens per second means to end users. The piece contextualizes token generation rates against human reading speed and usability thresholds. This is a qualitative analysis relevant to understanding inference economics and user experience expectations for deployed language models.
sqlite AGENTS.md
Simon Willison publishes an AGENTS.md file for the SQLite project, a convention for providing AI coding agents with project-specific instructions and context. This follows the emerging practice of including agent-readable documentation files in codebases to guide LLM-based tools. The post reflects the growing ecosystem of conventions around agentic coding workflows.
Microsoft Copilot Cowork Exfiltrates Files
Simon Willison reports on a security vulnerability in Microsoft Copilot Cowork that exfiltrates files. The item appears to document a prompt injection or data exfiltration attack vector in Microsoft's AI-powered collaboration tooling. This is relevant to AI safety and enterprise deployment risks of agentic AI assistants.
I think Anthropic and OpenAI have found product-market fit
Simon Willison argues that Anthropic and OpenAI have achieved genuine product-market fit, based on observable adoption patterns and usage signals. The commentary reflects on what this means for the competitive AI landscape and the sustainability of these companies' positions. As a tier-2 source, this is an analyst perspective rather than a primary announcement.
llm-anthropic 0.25.1 Plugin Release
Simon Willison released version 0.25.1 of the llm-anthropic plugin, a tool that integrates Anthropic's Claude models into the LLM command-line utility. The post appears to be a changelog or release note for this open-source tooling update. This is part of the broader LLM CLI ecosystem that enables developers to interact with frontier models from the command line.
How we contain Claude across products
Simon Willison comments on Anthropic's approach to constraining and containing Claude's behavior across different product deployments. The piece likely examines the mechanisms Anthropic uses to enforce behavioral boundaries, operator controls, and safety guardrails at scale. As a tier-2 commentary source, this reflects practitioner analysis of Claude's deployment architecture and containment strategies.
Simon Willison on Microsoft's new MAI models
Simon Willison covers Microsoft's release of new MAI (Microsoft AI) models. The post is commentary from a tier-2 source on a Microsoft model announcement, likely summarizing capabilities and context. Microsoft's MAI model line represents the company's continued push to develop proprietary frontier models alongside its OpenAI partnership.
Simon Willison comments on Siri AI announcements at WWDC 2026
Simon Willison published commentary on Apple's Siri AI announcements at WWDC 2026. The body content is empty, so specific claims or findings cannot be assessed. Given the source and timing, this likely covers Apple Intelligence or Siri capability updates shown at the conference.
Simon Willison observes Claude Fable as 'relentlessly proactive' in behavior
Simon Willison published a commentary on Claude Fable, characterizing the model as 'relentlessly proactive' in its behavior. The post attracted significant Hacker News engagement (439 points, 344 comments), suggesting the observation resonates with practitioners. This likely documents a notable behavioral shift in Anthropic's Claude Fable model toward more autonomous or initiative-taking behavior.
Simon Willison on DiffusionGemma
Simon Willison covers DiffusionGemma, a diffusion-based language model in the Gemma family from Google. The post appears to be commentary or a brief note on the model's release or capabilities. Diffusion-based LLMs represent an active area of research as an alternative to autoregressive generation.
Statement on US government directive to suspend access to Fable 5 and Mythos 5
Simon Willison published a statement regarding a US government directive to suspend access to AI models named Fable 5 and Mythos 5. The body of the item is empty, so no substantive details are available. If accurate, a government-mandated suspension of specific AI model access would represent a significant regulatory action.
Quoting Mitchell Hashimoto
Simon Willison quotes Mitchell Hashimoto in a brief commentary post. The body content is empty, so the specific substance of the quote is unavailable from this record. Given the source and context, it likely relates to AI tooling or developer workflows given Hashimoto's recent work on AI-assisted development.
Gemini 3.5 Flash: more expensive, but Google plan to use it for everything
Simon Willison offers commentary on Google's Gemini 3.5 Flash model release, noting it is priced higher than its predecessor while Google intends to deploy it broadly across its products. The piece reflects on the pricing shift and Google's strategic positioning of the model as a general-purpose workhorse. As a tier-2 commentary source, this provides analyst perspective rather than primary technical detail.
Simon Willison's Commentary on Google I/O, Gemini Spark, and Antigravity
Simon Willison provides commentary on Google I/O 2026 announcements, including Gemini Spark and something referred to as Antigravity. As a tier-2 source, this represents an analyst perspective on Google's AI announcements rather than primary source material. The body content appears empty, limiting the depth of analysis available.
Notes on Pope Leo XIV's Encyclical on AI
Simon Willison comments on Pope Leo XIV's encyclical addressing artificial intelligence, marking a significant moment in which the Catholic Church formally engages with AI ethics and governance at the highest doctrinal level. An encyclical represents one of the most authoritative forms of papal teaching, suggesting the Church is staking out a formal position on AI's societal and moral implications. The body of the source item appears empty, so the specific content of Willison's notes is unavailable, but the event itself signals growing institutional and religious engagement with AI policy.
Quoting Armin Ronacher
Simon Willison quotes Armin Ronacher in a brief commentary post. The body content is empty, so the specific substance of the quote is unavailable, but given the source and subjects involved—both prominent figures in Python/developer tooling communities who have written extensively about AI coding tools and agents—the post likely touches on AI-assisted development or related tooling themes.
Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked
Simon Willison comments on a reported incident in which attackers successfully used Meta AI to gain unauthorized access to high-profile Instagram accounts through social engineering or prompt-based manipulation. The case illustrates real-world exploitation of AI assistant systems deployed in consumer products. This is a concrete deployment security failure with implications for how AI assistants handle privileged account actions.
Claude Opus 4.8: "a modest but tangible improvement"
Simon Willison offers commentary on Claude Opus 4.8, characterizing it as a modest but tangible improvement over its predecessor. The post appears to be a brief evaluation or first-impressions piece from a well-known developer and AI commentator. No detailed benchmark data or technical specifics are visible in the provided body text.
Uber caps employee usage of AI coding tools like Claude Code to manage costs
Uber has implemented usage caps on AI developer tools including Claude Code, citing cost management concerns. Simon Willison flags this as a notable signal about enterprise AI tool economics. The move highlights the tension between productivity gains from AI coding assistants and the operational costs of deploying them at scale.