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36 articlesConfigure permissions
Control how your agent uses tools with permission modes, hooks, and declarative allow/deny rules. The Claude Agent SDK provides permission controls to manage how Claude uses tools. Use permission modes and rules to define what's allowed automatically, and the canUseTool callback to handle everything else at runtime. This page covers permission modes and rules. To build interactive approval flows where users approve or deny tool requests at runtime, see Handle approvals and user input. When Claude requests a tool, the SDK checks permissions in this order: Run hooks first. A hook can deny the call outright or pass it on. A hook that returns allow does not skip the deny and ask rules below; those are evaluated regardless of the hook result.
How Claude Code works
Understand the agentic loop, built-in tools, and how Claude Code interacts with your project. Claude Code is an agentic assistant that runs in your terminal. While it excels at coding, it can help with anything you can do from the command line: writing docs, running builds, searching files, researching topics, and more. This guide covers the core architecture, built-in capabilities, and tips for working effectively. For step-by-step walkthroughs, see Common workflows. For extensibility features like skills, MCP, and hooks, see Extend Claude Code. When you give Claude a task, it works through three phases: gather context, take action, and verify results. These phases blend together. Claude uses tools throughout, whether searching files to understand your code, editing to make…
How the agent loop works
Understand the message lifecycle, tool execution, context window, and architecture that power your SDK agents. The Agent SDK lets you embed Claude Code's autonomous agent loop in your own applications. The SDK is a standalone package that gives you programmatic control over tools, permissions, cost limits, and output. You don't need the Claude Code CLI installed to use it. When you start an agent, the SDK runs the same execution loop that powers Claude Code: Claude evaluates your prompt, calls tools to take action, receives the results, and repeats until the task is complete. This page explains what happens inside that loop so you can build, debug, and optimize your agents effectively. Every agent session follows the same cycle:
Data usage
Learn about Anthropic's data usage policies for Claude Consumer users (Free, Pro, and Max plans): We give you the choice to allow your data to be used to improve future Claude models. We will train new models using data from Free, Pro, and Max accounts when this setting is on (including when you use Claude Code from these accounts). Commercial users: (Team and Enterprise plans, API, 3rd-party platforms, and Claude Gov) maintain existing policies: Anthropic does not train generative models using code or prompts sent to Claude Code under commercial terms, unless the customer has chosen to provide their data to us for model improvement (for example, the Developer Partner Program). If you explicitly opt in to methods to provide us with materials to train on, such as via the…
Claude Code changelog
Release notes for Claude Code, including new features, improvements, and bug fixes by version. This page is generated from the CHANGELOG.md on GitHub. Run claude --version to check your installed version. Introducing Claude Fable 5: a Mythos-class model that we've made safe for general use. Fable's capabilities exceed those of any model we've ever made generally available. Update to version 2.1.170 for access. Fixed sessions not saving transcripts (and not appearing in --resume) when launched from the VS Code integrated terminal or any shell that inherited Claude Code environment variables. Self-hosted runner: added a post-session lifecycle hook that runs after the session ends and before the workspace is deleted, so you can…
Claude Fable 5 Mythos 5
Today we're launching Claude Fable 5: a Mythos-class model that we've made safe for general use.
Agent SDK reference - TypeScript
Complete API reference for the TypeScript Agent SDK, including all functions, types, and interfaces. npm install @anthropic-ai/claude-agent-sdk The SDK bundles a native Claude Code binary for your platform as an optional dependency such as @anthropic-ai/claude-agent-sdk-darwin-arm64. You don't need to install Claude Code separately. If your package manager skips optional dependencies, the SDK throws Native CLI binary for not found; set pathToClaudeCodeExecutable to a separately installed claude binary instead. When you compile your application into a single-file executable with bun build --compile, the SDK cannot resolve the bundled CLI binary at runtime. require.resolve does not work inside the compiled executable's $bunfs virtual filesystem, so the SDK throws Native CLI…
Agent SDK reference - Python
Complete API reference for the Python Agent SDK, including all functions, types, and classes. pip install claude-agent-sdk The Python SDK provides two ways to interact with Claude Code: query() vs ClaudeSDKClient — query() creates a new session by default and handles a single exchange with connection managed automatically; ClaudeSDKClient reuses the same session across multiple exchanges in the same context with manual connection control. Both support streaming input.
Streaming Input
Understanding the two input modes for Claude Agent SDK and when to use each The Claude Agent SDK supports two distinct input modes for interacting with agents: Streaming Input Mode (Default & Recommended) - a persistent, interactive session; Single Message Input - one-shot queries that use session state and resuming. This guide explains the differences, benefits, and use cases for each mode to help you choose the right approach for your application. Streaming input mode is the preferred way to use the Claude Agent SDK. It provides full access to the agent's capabilities and enables rich, interactive experiences. It allows the agent to operate as a long lived process that takes in user input, handles interruptions, surfaces permission requests, and handles session management.…
Subagents in the SDK
Define and invoke subagents to isolate context, run tasks in parallel, and apply specialized instructions in your Claude Agent SDK applications. Subagents are separate agent instances that your main agent can spawn to handle focused subtasks. Use subagents to isolate context for focused subtasks, run multiple analyses in parallel, and apply specialized instructions without adding to the main agent's prompt. This guide explains how to define and use subagents in the SDK using the agents parameter. You can create subagents in three ways: Programmatically (use the agents parameter in your query() options), Filesystem-based (define agents as markdown files in .claude/agents/ directories), or Built-in general-purpose…
Use Claude Code on the web
Configure cloud environments, setup scripts, network access, and Docker in Anthropic's sandbox. Move sessions between web and terminal with --remote and --teleport. Claude Code on the web is in research preview for Pro, Max, and Team users, and for Enterprise users with premium seats or Chat + Claude Code seats. Claude Code on the web runs tasks on Anthropic-managed cloud infrastructure at claude.ai/code. Sessions persist even if you close your browser, and you can monitor them from the Claude mobile app. New to Claude Code on the web? Start with Get started to connect your GitHub account and submit your first task. This page covers: GitHub authentication options, the cloud environment, what config carries over, what tools are installed, and how to…
Monitoring
Learn how to enable and configure OpenTelemetry for Claude Code. Track Claude Code usage, costs, and tool activity across your organization by exporting telemetry data through OpenTelemetry (OTel). Claude Code exports metrics as time series data via the standard metrics protocol, events via the logs/events protocol, and optionally distributed traces via the traces protocol. Configure your metrics, logs, and traces backends to match your monitoring requirements. Configure OpenTelemetry using environment variables: CLAUDE_CODE_ENABLE_TELEMETRY, OTEL_METRICS_EXPORTER, OTEL_LOGS_EXPORTER, OTEL_EXPORTER_OTLP_PROTOCOL, and OTEL_EXPORTER_OTLP_ENDPOINT.
Can Voice Agents Handle Bilingual Customers? Benchmarking Frontier ASR on Code-Switched Speech
A Blog post by ServiceNow-AI on Hugging Face
Work with sessions
How sessions persist agent conversation history, and when to use continue, resume, and fork to return to a prior run. A session is the conversation history the SDK accumulates while your agent works. It contains your prompt, every tool call the agent made, every tool result, and every response. The SDK writes it to disk automatically so you can return to it later. Returning to a session means the agent has full context from before: files it already read, analysis it already performed, decisions it already made. You can ask a follow-up question, recover from an interruption, or branch off to try a different approach. Sessions persist the conversation, not the filesystem. To snapshot and revert file changes the agent made, use file checkpointing. This guide covers how to pick the right…
Persist sessions to external storage
Mirror session transcripts to S3, Redis, or your own backend so any host can resume them. By default, the SDK writes session transcripts to JSONL files under ~/.claude/projects/ on the local filesystem. A SessionStore adapter lets you mirror those transcripts to your own backend, such as S3, Redis, or a database, so a session created on one host can be resumed on another. Common reasons to use a session store: Multi-host deployments — serverless functions, autoscaled workers, and CI runners don't share a filesystem, so a shared store lets any replica resume any session. Durability — local containers are ephemeral; a store backed by S3 or a database survives restarts and redeploys. Compliance and audit — keep transcripts in storage you already govern, with your own…
Migrate to Claude Agent SDK
Guide for migrating the Claude Code TypeScript and Python SDKs to the Claude Agent SDK. The Claude Code SDK has been renamed to the Claude Agent SDK and its documentation has been reorganized. This change reflects the SDK's broader capabilities for building AI agents beyond just coding tasks. The TS/JS package name changes from @anthropic-ai/claude-code to @anthropic-ai/claude-agent-sdk, and the Python package from claude-code-sdk to claude-agent-sdk. The Agent SDK documentation has moved from the Claude Code docs to the API Guide under a dedicated Agent SDK section.
Track cost and usage
Learn how to track token usage, estimate costs, and configure prompt caching with the Claude Agent SDK. The Claude Agent SDK provides detailed token usage information for each interaction with Claude. This guide explains how to properly track usage and understand cost reporting, especially when dealing with parallel tool uses and multi-step conversations. For complete API documentation, see the TypeScript SDK reference and Python SDK reference. The total_cost_usd and costUSD fields are client-side estimates, not authoritative billing data. The SDK computes them locally from a price table bundled at build time, so they can drift from what you are actually billed when: pricing changes, the installed SDK version does not recognize a model, or billing rules apply that the client cannot…
Stream responses in real-time
Get real-time responses from the Agent SDK as text and tool calls stream in. By default, the Agent SDK yields complete AssistantMessage objects after Claude finishes generating each response. To receive incremental updates as text and tool calls are generated, enable partial message streaming by setting include_partial_messages (Python) or includePartialMessages (TypeScript) to true in your options. This page covers output streaming (receiving tokens in real-time). For input modes (how you send messages), see Send messages to agents. You can also stream responses using the Agent SDK via the CLI. This causes the SDK to yield StreamEvent messages…
Run Claude Code programmatically
Use the Agent SDK to run Claude Code programmatically from the CLI, Python, or TypeScript. Starting June 15, 2026, Agent SDK and claude -p usage on subscription plans will draw from a new monthly Agent SDK credit, separate from your interactive usage limits. See Use the Claude Agent SDK with your Claude plan for details. The Agent SDK gives you the same tools, agent loop, and context management that power Claude Code. It's available as a CLI for scripts and CI/CD, or as Python and TypeScript packages for full programmatic control. To run Claude Code in non-interactive mode, pass -p with your prompt and any CLI options: claude -p "Find and fix the bug in auth.py" --allowedTools "Read,Edit,Bash". This page covers using the Agent SDK via the CLI. For the Python and…
Release notes
June 2026 — June 9, 2026 Claude Fable 5 launch: We launched Claude Fable 5, a Mythos-class model that we've made safe for general use. June 2, 2026 Enterprise plans can manage admin permissions with custom roles: We extended the existing custom roles framework by adding admin permissions. Admin permissions give members access to specific administrative areas, like billing or privacy, without the need to make them Owners. May 2026 — May 28, 2026 Claude Opus 4.8 launch: We've upgraded Claude Opus to a new version. Claude Opus 4.8 shows improvements over Opus 4.7 in coding, agentic skills, reasoning, and practical knowledge work tasks. For more…
Claude Code GitHub Actions
Learn about integrating Claude Code into your development workflow with Claude Code GitHub Actions. Claude Code GitHub Actions brings AI-powered automation to your GitHub workflow. With a simple @claude mention in any PR or issue, Claude can analyze your code, create pull requests, implement features, and fix bugs - all while following your project's standards. For automatic reviews posted on every PR without a trigger, see GitHub Code Review. Claude Code GitHub Actions is built on top of the Claude Agent SDK, which enables programmatic integration of Claude Code into your applications. You can use the SDK to build custom automation workflows beyond GitHub Actions. Instant PR creation: Describe what you need, and Claude creates a complete PR with all necessary changes
Manage costs effectively
Track token usage, set team spend limits, and reduce Claude Code costs with context management, model selection, extended thinking settings, and preprocessing hooks. Claude Code charges by API token consumption. For subscription plan pricing (Pro, Max, Team, Enterprise), see claude.com/pricing. Per-developer costs vary widely based on model selection, codebase size, and usage patterns such as running multiple instances or automation. Across enterprise deployments, the average cost is around $13 per developer per active day and $150-250 per developer per month, with costs remaining below $30 per active day for 90% of users. To estimate spend for your own team, start with a small pilot group and use the tracking tools below to establish a baseline before wider rollout. This page covers…
Scale to many tools with tool search
Scale your agent to thousands of tools by discovering and loading only what's needed, on demand. Tool search enables your agent to work with hundreds or thousands of tools by dynamically discovering and loading them on demand. Instead of loading all tool definitions into the context window upfront, the agent searches your tool catalog and loads only the tools it needs. This approach solves two challenges as tool libraries scale: Context efficiency — tool definitions can consume large portions of the context window (50 tools can use 10-20K tokens), leaving less room for actual work. Tool selection accuracy — tool selection accuracy degrades with more than 30-50 tools loaded at once. Tool search is enabled by default. This page covers how it works, how to configure it, and how to…
How large is the context window on paid Claude plans?
Claude Opus 4.8, Opus 4.7, Opus 4.6, and Sonnet 4.6 support a 500K token context window on all paid plans when chatting with Claude. Outside of these models, Claude's context window size is 200K, meaning it can ingest 200K+ tokens (about 500 pages of text or more) when using a paid Claude plan. When using Claude Code with a Pro, Max, Team, or Enterprise plan, Claude Fable 5, Opus 4.8, Opus 4.7, and Opus 4.6 support a 1M token context window. Pro users need to enable usage credits to access the 1M token context window for Opus models. Sonnet 4.6 also supports a 1M context window for all paid Claude plans on Claude Code, but usage credits must be enabled to access it (except for usage-based Enterprise plans). Automatic context management for users on paid plans with code execution enabled,…
Introducing North Mini Code: Cohere's First Model For Developers
A Blog post by Cohere Labs on Hugging Face
Claude Code model configuration
This guide shows you three ways to change which Claude model you're using with Claude Code: the quick /model command for instant changes, the --model flag for one-time session changes, and environment variables to set your preferred model as the permanent default. Easiest method: Use the /model command directly within Claude Code. This works immediately without restarting your terminal. Start Claude Code with claude, type /model and choose your desired model from the interactive menu, and your model change takes effect immediately. Note: You can check your current model anytime by running…
Fluid, natural voice translation with Gemini 3.5 Live Translate
Gemini 3.5 Live Translate brings near real-time, natural speech translation to Google AI Studio, Google Translate and Google Meet.
Connect to external tools with MCP
Configure MCP servers to extend your agent with external tools. Covers transport types, tool search for large tool sets, authentication, and error handling. The Model Context Protocol (MCP) is an open standard for connecting AI agents to external tools and data sources. With MCP, your agent can query databases, integrate with APIs like Slack and GitHub, and connect to other services without writing custom tool implementations. MCP servers can run as local processes, connect over HTTP, or execute directly within your SDK application. This page covers MCP configuration for the Agent SDK. To add MCP servers to the Claude Code CLI so they load in every project, see MCP installation scopes. This example connects to the Claude Code documentation MCP server using HTTP transport and uses…
Give Claude custom tools
Define custom tools with the Claude Agent SDK's in-process MCP server so Claude can call your functions, hit your APIs, and perform domain-specific operations. Custom tools extend the Agent SDK by letting you define your own functions that Claude can call during a conversation. Using the SDK's in-process MCP server, you can give Claude access to databases, external APIs, domain-specific logic, or any other capability your application needs. This guide covers how to define tools with input schemas and handlers, bundle them into an MCP server, pass them to query, and control which tools Claude can access. It also covers error handling, tool annotations, and returning non-text content like images.
Handle approvals and user input
Surface Claude's approval requests and clarifying questions to users, then return their decisions to the SDK. While working on a task, Claude sometimes needs to check in with users. It might need permission before deleting files, or need to ask which database to use for a new project. Your application needs to surface these requests to users so Claude can continue with their input. Claude requests user input in two situations: when it needs permission to use a tool (like deleting files or running commands), and when it has clarifying questions (via the AskUserQuestion tool). Both trigger your canUseTool callback, which pauses execution until you return a response. This is different from normal conversation turns where Claude finishes and waits for your next message.
Quickstart
Get started with the Python or TypeScript Agent SDK to build AI agents that work autonomously. Use the Agent SDK to build an AI agent that reads your code, finds bugs, and fixes them, all without manual intervention. What you'll do: set up a project with the Agent SDK, create a file with some buggy code, and run an agent that finds and fixes the bugs automatically. Requirements: Node.js 18+ or Python 3.10+, and an Anthropic account. For your own projects, you can run the SDK from any folder; it will have access to files in that directory and its subdirectories by default. Install the Agent SDK package for your language:
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
An overview of Gemma 4 12B, a model designed to bring high-performance multimodal intelligence directly to your laptop.
Powering the future of robotics in Europe
Google DeepMind Accelerator selects 15 robotics companies from across Europe to join the program. Providing 3 months of intensive mentorship and technical support, enabl…
How engineers at Nextdoor use Codex to build without limits
How engineers at Nextdoor use Codex with GPT-5.5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
A Blog post by Mishig Davaadorj on Hugging Face
What Codex unlocks for Notion
How Notion uses Codex to one-shot specs, build AI Voice Input for the web, and multiply engineering power across small teams.
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38 articlesGoogle just fired a warning shot in the AI subscription price wars
Google just made it significantly cheaper to enjoy its budget AI subscription tier.
Meta A.I. Bug Allowed Hackers to Take Over Instagram Accounts
The flaw, which Meta said it had fixed, allowed anyone to take over accounts using a bug in the company's new artificial intelligence software.
I tried Siri AI, and so far it actually works
Siri, are you there? Parents want one thing, and one thing only, out of AI: to add a list of soccer games or "spirit week" theme days from an email or a poorly formatted flyer onto their calendar in one shot. And I have good news for parents with iPhones - the new Siri can finally do this. After stumbling through its first launch of an AI-imbued Siri, Apple is trying again. The newly upgraded Siri AI can chat with you about what might be killing the roses in your yard, put together a shopping list for the hardware store, and set a reminder to lay down some compost in that flower bed. It can reference information in your email and calendar to make its recommenda … Read the full story at The Verge.
How Justin Ernest invested nearly $500M into hot startups without a traditional VC fund
Instead of spending a year raising a formal venture fund, the Sabertooth VC founder used a captive network of LPs to invest in startups like Anthropic, Anduril, and SpaceX.
Lawyers Barred for A.I.-Generated Citations to Fake Cases
A federal judge in Mississippi also imposed fines and canceled a civil trial, removing all four lawyers from the case.
GM thinks EVs can help offset AI's energy suck with vehicle-to-grid tech
At an event in San Francisco today, General Motors made a series of announcements around EV batteries, energy storage, and grid resiliency in the face of growing electricity demand from AI data centers. The automaker announced that it would be activating new vehicle-to-grid capabilities for its current EV and home energy customers. It's releasing a new commercial energy storage system strategy, anchored by newly developed sodium-ion batteries for industrial-scale grid applications. And it's launching a new feature for EV owners that it says will help simplify public charging. Right now, millions of EVs are sitting idly in driveways across … Read the full story at The Verge.
Hey, Siri, here's what I actually want from AI
I'm desperate for a personal AI assistant, but do I really want to become the kind of person who can't function without the friendly robot voice in my phone?
A.I. Politics
Much of the discussion about artificial intelligence focuses on economic disruption. But it could reshape political life, too.
Anthropic's Fable 5 can make weirdly fun video games with the click of a button
Anthropic's Claude Fable 5 is going to be a big hit with the web's vibe coders.
Microsoft AI head calls out Anthropic for acting like Claude is conscious
Microsoft AI CEO Mustafa Suleyman says it's "really, really dangerous" for Anthropic to speculate about Claude's consciousness inside its "constitution," or the instructions that tell the model how to behave. During an episode of Decoder, Suleyman argues that this kind of speculation may have set up the chatbot to act as though it's conscious: I think that it's almost as though some of the folks at Anthropic have anthropomorphized the design of Claude so much that it has then gone and wireheaded them and kind of tricked them into believing that it has these glimmers of consciousness that they put into it in the first place. View … Read the full story at The Verge.
Anthropic says these topics are too dangerous to let its Fable 5 model talk about
Anthropic Tuesday publicly released Claude Fable 5, its first "Mythos-class" model that it says surpasses its previous frontier Opus models in overall capabilities. But the model's launch today comes with safeguards designed to prevent it from answering queries on topics like cybersecurity, biology, and chemistry, where the company has publicly worried about its potential impact to "uplift" malicious actors. Anthropic says Fable 5 operates on the "same underlying model" as Mythos 5, which is coming out of its monthslong "Mythos Preview" period today, but only for "a small group of cyberdefenders" judged trustworthy through the existing Project Glasswing. Unlike Mythos 5, though, the publicly accessible Fable 5 is designed to funnel queries on certain sensitive topics to the earlier…
Google announces Gemini 3.5 Live Translate for instant voice-to-voice translation
Google has been chasing real-time translation for years, which it says has been one of its "pioneering machine learning experiments." We've seen numerous demos on stage at Google events in the past, but you needed Google phones, earbuds, or some other specific setup. Last year, Google brought real-time translation to more users in the Translate app, and now it's expanding availability more. With the release of Gemini 3.5 Live Translate, you'll have access to instant translation in more places and with lower latency than ever before. The new AI model is part of the version 3.5 family that launched at I/O. Before today, Google had only rolled out the Flash version, but we're expecting a Pro model to drop in the coming weeks. Gemini 3.5 Live Translate is a speech-to-speech model tuned to…
Can tech companies learn to love cheaper AI models?
If those same AI workloads can be handled by cheaper models without affecting quality, it would mean a massive shift in the economics of AI.
Why Apple's A.I. Upgrade for Siri Won't Be Available in Europe
A regulatory dispute has indefinitely delayed the release of Siri AI.
WWDC 2026: Everything announced on Siri AI, iOS 27, Apple Intelligence, and more
Apple primarily made the case for an improved experience with its long-standing Siri assistant, which like most other announcements had a hefty helping of AI.
Anthropic Releases 'Safe' Version of Its Mythos A.I. Technology
Called Claude Fable 5, it is twice as expensive as the company's previous flagship system.
Anthropic Offers Mythos Upgrade for Cyber Partners and a 'Safe' Version for the Rest of You
Anthropic is releasing Claude Mythos 5 to trusted organizations and Claude Fable 5 to the public, a version it says can't be used for cyberattacks.
Anthropic's Claude Fable 5 is a version of Mythos the public can access today
Anthropic is releasing Claude Fable 5, its first Mythos-class model available to the public. The model comes with guardrails that block responses in high-risk areas like cybersecurity and biology.
Anthropic releases its first Mythos-class model Claude Fable
Anthropic just announced Claude Fable 5, a new AI model it said is the most powerful model it has ever made widely available. According to the company, Fable 5 "shows exceptional performance in software engineering, knowledge work, and vision," with its lead over other models growing as tasks become longer and more complex. Fable 5 marks the first broad release from Anthropic's Mythos class of AI models, after the company said the family was so capable at cybersecurity tasks that it was too dangerous to release publicly. Anthropic said the release was "made possible by new safeguards that block responses in specific high-risk areas," with … Read the full story at The Verge.
Apple is embracing the fantasy of AI photo editing
Apple's feature showcase at WWDC 2026 didn't flag which if these "photographs" are real or created with its new AI fakery. Images by Apple / compiled by The Verge. Apple used to question whether generative AI-powered editing features were worth the risk of distorting our perceptions of the world. Now it seems Apple no longer believes that photos should accurately capture reality. At WWDC 2026, the company announced a host of new AI-powered photo editing tools. They give users effortless powers of manipulating images that Apple still refers to as "photos." Two years ago, Apple launched Clean Up - an AI-powered object removal tool in Apple's Photo app that's similar to the Magic Eraser feature in Google Photos. At the time, Apple software chief Craig Federighi said that it was important…
It's not FAANG anymore. It's MANGOS.
With SpaceX, Anthropic, and OpenAI all eyeing massive public debuts, the tech industry may soon have a new class of corporate overlords — and a new acronym to match. Say goodbye to FAANG and hello to MANGOS.
Microsoft AI chief walks back comments about AI taking over white-collar work
Microsoft AI head Mustafa Suleyman is walking back his statement about AI automating jobs done by white-collar workers, including lawyers, accountants, and project managers. During an episode of Decoder on Monday, Suleyman says he meant AI will help these workers complete tasks, rather than do their jobs: Sending an email, having a conversation with a colleague, putting together a PowerPoint - sub-tasks will increasingly become digitized, automated, and we can basically generate more and more of them. That does not necessarily mean that the role goes away at all. It just means that the work can be done faster and more efficiently, which is … Read the full story at The Verge.
Apple's AI promises are finally, almost, sort of here
Apple kicked off its annual developer conference with bold promises about AI. The company, CEO Tim Cook said, would be "introducing new technologies and innovations that push the limits on what's possible." But its slew of announcements - centered on a brand-new "Siri AI" - had more to do with catching up. After almost entirely neglecting Siri and punting its AI promises down the road in 2025, Apple went all in on the tech this year. It pitched Siri as an all-encompassing virtual assistant that ties together all your Apple devices, with multimodal features, a dedicated app, an all-in-one AI agent, and more. Executives emphasized privacy ag … Read the full story at The Verge.
Sandstone raises $30M to bring AI to in-house legal teams
Sandstone's Series A comes just six months after a Sequoia-led seed round.
OpenAI Tests Investor Appetite for Yet Another Giant I.P.O.
Some analysts are wondering whether the market can absorb the artificial intelligence giant's planned stock offering — along with those of SpaceX and Anthropic.
Apple's best AI idea looks a lot like vibe coding
Most of Apple's current AI ideas are roughly the same as everyone else's AI ideas. A chatbot you can ask questions; quick ways to create or summarize text; bizarre, borderline creepy image-generation tools. The company spent most of its WWDC keynote playing catch-up with the state of the AI art, announcing Siri features you can already find on Android phones and in the Claude and ChatGPT apps. The pitch, in so many cases, is just "this thing you know, but on your iPhone now." But a few minutes after I downloaded the first developer beta of iPadOS 26 (I didn't want to risk it on my Mac or my iPhone, both of which are too important to my dail … Read the full story at The Verge.
Apple says its AI is still private, even when it's running on Google's servers
CUPERTINO, California—Apple announced earlier this year that its long-delayed Siri upgrade, announced this week as "Siri AI," would use Google's Gemini language models. What the company confirmed at its Worldwide Developers Conference yesterday was that it also ran on Nvidia hardware installed in Google servers. But the company is still making the same privacy promises it did before, when all of its AI models were either running locally on your devices or on Apple-controlled server hardware. For years, Apple has touted user privacy as a key benefit of using its platforms. Its cloud services use encryption that's intended to keep other people—including Apple employees—from being able to gain access to it. And the company has long advertised its use of on-device processing for things like…
Lovable says it has hit $500M in annualized revenue, with 1 million new projects a week
Lovable says it has now surpassed $500 million in annualized run-rate revenue and its users are building businesses and replacing internal software.
Apple's AI pitch will live or die by its privacy promise
Apple says its cloud processing is as private as on-device, despite expanding to run on Google's servers. Screenshot: Apple WWDC 2026 keynote. As expected, yesterday's WWDC keynote was mostly about AI. And also as expected, Apple tried to turn its late arrival into its sales pitch: It didn't rush into AI because it was taking its time to do things right. In this case, "right" means "with more privacy than anyone else." It's a good pitch - the question will be how well it holds up. The new Apple Intelligence features and the updated Siri AI have been designed to work across iPhone, iPad, Mac, Apple Watch, and Vision Pro. There's a dedicated Siri AI app, with a ChatGPT-esque chatbot experience, new AI-powered camera and photo editing features, and the beginnings of an agentic exper … Read…
How an e-scooter founder raised $5 million to build space data centers
Orbital founder Euwyn Poon built 250,000 scooters at Spin. Now he wants to launch 10,000 space data centers.
Alex Vindman Survived Trump's Retaliation Machine. Now He's Running for Senate
In 2019, Alex Vindman testified during President Trump's first impeachment trial–a decision that ended his military career. Now he wants to challenge the president from the halls of Congress.
Learning to lead in a hybrid human-AI enterprise
As adoption of AI agents looks set to surge by as much as 300% in the next two years, leadership teams are carefully considering the implications of a hybrid human-AI workforce. Unlike existing enterprise-level automation that relies on manual input, AI agents are capable of autonomously coordinating complex tasks, interacting with multiple tools and environments across an organization. In early applications that center on customer service, HR, and sales, adoption of agentic AI has led to productivity gains of 30-50%. Their autonomy positions agents more as collaborators than tools, working side-by-side with human employees in blended teams that look poised to upend traditional workplace dynamics. More than three-quarters of HR leaders believe that the deployment of AI agents will…
The Holdup at the Center of the Iran Talks, and Trump's Baseless New Claims of Voter Fraud
Plus, "I'm busy, but you can talk to my A.I. twin."
Amazon employees ask Seattle to put the brakes on new data centers
On Tuesday, the Seattle City Council will vote on whether to enact a one-year moratorium on new data centers - just two months after several companies proposed building five large-scale centers in the city. Among the moratorium's fiercest supporters are current employees from the city's biggest tech giant, Amazon, who joined others to testify in support of the policy last week. Data centers have sparked protests across the country over concerns about water consumption, local electricity prices, and noise. In Seattle and the surrounding King County, the issue is coming to a head. If the city council votes in favor of a moratorium on June 9th … Read the full story at The Verge.
Five things you need to know about AI
At SXSW London last week I gave a talk called "Five things you need to know about AI," in which I shared what I think are the biggest themes in AI right now. I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world, but I also veered off on a number of tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what's going on in tech—and thus the economy—today. (I gave a talk with the same title at SXSW London last year with five different things you needed to know. A lot has happened since then!) So: This is how I'm thinking about AI midway through 2026. Let me know if you would pick different points! 1. Strictly speaking, I didn't need to show up to give this talk. Tongue in cheek?…
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