AI News
Signal over noise. Daily.
一線 AI Lab
28 articlesQuickstart
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:** 1. Set up a project with the Agent SDK 2. Create a file with some buggy code 3. Run an agent that finds and fixes the bugs automatically * **Node.js 18+** or **Python 3.10+** * An **Anthropic account**. If you don't have one, sign up here. Create a new directory for this quickstart: mkdir my-agent cd my-agent 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:
Securely deploying AI agents
A guide to securing Claude Code and Agent SDK deployments with isolation, credential management, and network controls Claude Code and the Agent SDK are powerful tools that can execute code, access files, and interact with external services on your behalf. Like any tool with these capabilities, deploying them thoughtfully ensures you get the benefits while maintaining appropriate controls. Unlike traditional software that follows predetermined code paths, these tools generate their actions dynamically based on context and goals. This flexibility is what makes them useful, but it also means their behavior can be influenced by the content they process: files, webpages, or user input. This is sometimes called prompt injection. For example, if a repository's README contains unusual…
We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
Our newest music generation model, Lyria 3.5, delivers significant advancements across musicality, lyrics, and vocal quality, empowering you to craft richer tracks. We’r…
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. | If you want to... | Do this |
Observability with OpenTelemetry
Export traces, metrics, and events from the Agent SDK to your observability backend using OpenTelemetry. When you run agents in production, you need visibility into what they did: * which tools they called * how long each model request took * how many tokens were spent * where failures occurred The Agent SDK can export this data as OpenTelemetry traces, metrics, and log events to any backend that accepts the OpenTelemetry Protocol (OTLP), such as Honeycomb, Datadog, Grafana, Langfuse, or a self-hosted collector. This guide explains how the SDK emits telemetry, how to configure the export, and how to tag and filter the data once it reaches your backend. To read token usage and cost directly from the SDK response stream instead of exporting to a backend, see Track cost and usage. The Agent…
Agent Skills in the SDK
Extend Claude with specialized capabilities using Agent Skills in the Claude Agent SDK Agent Skills extend Claude with specialized capabilities that Claude autonomously invokes when relevant. Skills are packaged as `SKILL.md` files containing instructions, descriptions, and optional supporting resources. For comprehensive information about Skills, including benefits, architecture, and authoring guidelines, see the Agent Skills overview. When using the Claude Agent SDK, Skills are: 1. **Defined as filesystem artifacts**: you create each Skill as a `SKILL.md` file in its own directory, such as `.claude/skills/ /SKILL.md` 2. **Loaded from filesystem**: the SDK loads Skills from the filesystem locations governed by `settingSources` (TypeScript) or `setting_sources` (Python) 3. **Automatically…
Slash Commands in the SDK
Learn how to use slash commands to control Claude Code sessions through the SDK Slash commands provide a way to control Claude Code sessions with special commands that start with `/`. These commands can be sent through the SDK to perform actions like compacting context, listing context usage, or invoking custom commands. Only commands that work without an interactive terminal are dispatchable through the SDK; the `system/init` message lists the ones available in your session. The Claude Agent SDK provides information about available slash commands in the system initialization message. Access this information when your session starts: import { query } from "@anthropic-ai/claude-agent-sdk"; for await (const message of query({ prompt: "Hello Claude", options: { maxTurns: 1 } })) {
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 them to isolate context, 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. See the TypeScript and Python references * **Filesystem-based**: define agents as markdown files in `.claude/agents/` directories. See defining subagents as files * **Built-in general-purpose**: Claude…
Run Claude Code programmatically
Use the Agent SDK to run Claude Code programmatically from the CLI, Python, or TypeScript. 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 (`claude -p`). For the Python and TypeScript SDK packages with structured outputs, tool approval callbacks, and native message objects, see the full Agent SDK documentation. Add the `-p` (or `--print`) flag to any `claude` command to run it non-interactively. All CLI options…
Todo Lists
Track and display todos using the Claude Agent SDK for organized task management Todo tracking provides a structured way to manage tasks and display progress to users. The Claude Agent SDK includes built-in todo functionality that helps organize complex workflows and keep users informed about task progression. As of TypeScript Agent SDK 0.3.142 and Claude Code v2.1.142, sessions use the structured Task tools `TaskCreate`, `TaskUpdate`, `TaskGet`, and `TaskList` instead of `TodoWrite`. The Python SDK gets this change from the Claude Code CLI it launches, not from the Python package version: the switch applies once that CLI — the copy bundled inside the pip package, or one you point to with `cli_path` — is v2.1.142 or later. See Migrate to Task tools for how monitoring code changes. The…
How enabling two settings tripled our scores on the ARC-AGI-3 benchmark
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
Accelerating scientific discovery with ChatGPT for Academic Researchers
OpenAI is giving 100,000 academic researchers free access to ChatGPT's most advanced AI models to accelerate scientific research, collaboration, and discovery.
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. The SDK version tracks the bundled Claude Code version: SDK v0.3.191 bundles Claude Code v2.1.191, so a feature on this page that requires a Claude Code version needs the SDK release with the same patch number or later. 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.
Week 14 · March 30 – April 3, 2026
Computer use in the CLI, interactive in-product lessons, flicker-free rendering, per-tool MCP result-size overrides, and plugin executables on PATH. Releases v2.1.86 → v2.1.91 5 features · March 30 – April 3 Computer use in the CLI research preview Last week computer use landed in the Desktop app. This week it's in the CLI: Claude can open native apps, click through UI, test its own changes, and fix what breaks, all from your terminal. Web apps already had verification loops; native iOS, macOS, and other GUI-only apps didn't. Now they do. Best for closing the loop on apps and tools where there's no API to call. Still early; expect rough edges.
Week 15 · April 6–10, 2026
Ultraplan cloud planning, the Monitor tool with self-pacing /loop, /team-onboarding for packaging your setup, and /autofix-pr from your terminal. Releases v2.1.92 → v2.1.101 4 features · April 6–10 Ultraplan research preview Kick off plan mode in the cloud from your terminal, then review the result in your browser. Claude drafts the plan in a Claude Code on the web session while your terminal stays free; when it's ready you comment on individual sections, ask for revisions, and choose to execute remotely or send it back to your CLI. As of v2.1.101 the first run auto-creates a default cloud environment, so there's no web setup step before you can try it.
Week 22 · May 25–29, 2026
Run Claude Code on Claude Opus 4.8, orchestrate large tasks with dynamic workflows, catch security issues with the security-guidance plugin, and use fast mode on Opus 4.8 at a lower price. Releases v2.1.150 → v2.1.157 4 features · May 25–29 Claude Opus 4.8 new model Opus 4.8 is now the default on Max, Team Premium, Enterprise pay-as-you-go, and the Anthropic API. It defaults to high effort; use /effort xhigh for harder tasks. Requires v2.1.154 or later.
Week 13 · March 23–27, 2026
Auto mode for hands-off permissions, computer use built in, PR auto-fix in the cloud, transcript search, and a PowerShell tool for Windows. Releases v2.1.83 → v2.1.85 6 features · March 23–27 Auto mode research preview Auto mode hands your permission prompts to a classifier. Safe edits and commands run without interrupting you; anything destructive or suspicious gets blocked and surfaced. It's the middle ground between approving every file write and running with --dangerously-skip-permissions .
Week 25 · June 15–19, 2026
Publish a live, shareable page from your session with Artifacts, match tool parameters in deny and ask rules, and set any setting from the prompt with /config. Releases v2.1.178 → v2.1.183 3 features · June 15–19 Artifacts An artifact is a live, interactive page that Claude Code publishes from your session to a private URL on claude.ai, and it updates in place as the session keeps working. Ask for one when terminal text is the wrong medium, such as a PR walkthrough with the diff annotated inline or a dashboard built from session data. Artifacts are in beta on Team and Enterprise plans.
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:
Hosting the Agent SDK
Deploy the Agent SDK in production: subprocess architecture, session persistence, scaling, observability, and multi-tenant isolation for Docker, Kubernetes, and sandbox providers. The Agent SDK spawns and supervises a `claude` CLI subprocess that owns a shell, a working directory, and session files on disk. Hosting it is not like hosting a stateless API wrapper. Every running agent is a long-lived process tied to local state, which shapes how you allocate resources, persist sessions, and scale across tenants. This page covers self-hosting on your own infrastructure: understand the subprocess model, choose a session pattern, provision the container, and handle production concerns like persistence, observability, auth, and multi-tenant isolation. For deployable Dockerfiles and Kubernetes…
Configure 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.
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 * billing rules apply that the client cannot…
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…
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…
Week 29 · July 13–17, 2026
Pull live data into published artifacts through MCP connectors, and use Claude Code with a screen reader in the new screen reader mode. Releases v2.1.207 → v2.1.212 2 features · July 13–17 Artifacts call your MCP connectors web A published artifact can now call MCP connectors each time someone views it, so a dashboard shows live data and can take actions on demand rather than a snapshot from the session that built it. Each call runs through the viewing account's own connections, and viewers approve access before the page's first connector call. This week also adds public sharing links, editor roles for shared editing on Team and Enterprise plans, and artifacts created from Claude Tag sessions.
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…
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…
Get structured output from agents
Return validated JSON from agent workflows using JSON Schema, Zod, or Pydantic. Get type-safe, structured data after multi-turn tool use. Structured outputs let you define the exact shape of data you want back from an agent. The agent can use any tools it needs to complete the task, and you still get validated JSON matching your schema at the end. Define a JSON Schema for the structure you need, and the SDK validates the output against it, re-prompting on mismatch. If validation does not succeed within the retry limit, the result is an error instead of structured data; see Error handling. For full type safety, use Zod (TypeScript) or Pydantic (Python) to define your schema and get strongly-typed objects back. Agents return free-form text by default, which works for chat but not when you…
媒體
39 articlesMicrosoft is openly competing with OpenAI, Anthropic more than ever
Microsoft pitched its own homegrown AI models, harnesses, and even a Mythos competitor on Wednesday, telling Wall Street it plans for continued growth.
Meta’s Profit Falls 14 Percent as A.I. Spending Continues
The Silicon Valley company’s costs rose more steeply than revenue growth, as it continues to invest heavily in artificial intelligence.
Microsoft Increases Spending on A.I. as Profit Jumps 31%
Like other big technology companies, Microsoft is hoping its aggressive spending on artificial intelligence is starting to translate into revenue.
Mark Zuckerberg predicts that billions of people will have personal AI agents in five years
As Meta pours billions into AI infrastructure and agents, Zuckerberg is working to convince investors that the payoff will be worth the price.
Microsoft logs $3.2B from Anthropic investment, but OpenAI was a mixed bag
When Microsoft reported killer fourth-quarter earnings for its fiscal 2026 year (which ended June 30), it tucked in an interesting little tidbit about how its investments in the two biggest, and competing, AI labs are doing.
Zuckerberg says Meta’s enterprise AI opportunity extends beyond agents
On the company’s second-quarter earnings call Wednesday, CEO Mark Zuckerberg said Meta sees a “large enterprise opportunity” spanning AI agents, APIs, compute, and internal software.
Microsoft confirms Copilot ‘super app’ coming this year
Microsoft is working on an AI "super app" that combines Copilot's chat, coding, and agentic capabilities. During an earnings call on Wednesday, Microsoft CEO Satya Nadella said the app will span "both consumer and commercial experiences" when it launches this year. "Copilot is evolving rapidly from chat to Cowork to Autopilots," Nadella said. "This quarter, we are bringing these Copilot experiences together, including code, in one super app… This is a major step forward, and I look forward to sharing more soon." Nadella's confirmation comes months after a report from Fortune revealed that Microsoft is working on a super app that blends its … Read the full story at The Verge.
Mythos attack on 3rd-round PQC algorithm candidate puts it out of commission
A quantum-resistant cryptography algorithm that was under consideration as an official US standard has been taken out of the running after an Anthropic security model helped find a flaw that rendered it broken . The algorithm is known as HAWK . It's a digital signature scheme designed to withstand future attacks from quantum computers. HAWK had survived two rounds of testing by NIST (the National Institute of Standards and Technology) for evaluating the security of PQC (post-quantum cryptographic) algorithms through widespread testing. HAWK was in a third round of testing designed to catch precisely the kinds of flaws Mythos helped uncover. Following Anthropic's Monday announcement of the results, the developer of HAWK said Tuesday he was withdrawing it. Read full article Comments
Mark Zuckerberg is planning a big push into personal AI agents
Meta is all-in on AI, and sometime soon, the company is going to make a big push into personal AI agents that can do things on your behalf. On Wednesday's Q2 2026 earnings call, CEO Mark Zuckerberg previewed a high-level vision of how the company is thinking about personal agents and what it will do to make them viable for users - and how it will convince less technical people to give them a shot: Soon we will have agents that can work 24/7 on your behalf to help you achieve your goals and improve your life, your health, your relationships, your finances, whatever you want. The first domain that agents have really taken off in is coding. … Read the full story at The Verge.
Discover what’s next for AI, from the SaaS reckoning to the agent security gap, at TechCrunch Disrupt 2026
At TechCrunch Disrupt 2026, the AI Stage is back to dig into the single hottest topic in the community for the past few years, presented by Google for Startups.
Thinking Machines co-founder Lilian Weng left the company citing health reasons, then joined OpenAI
Weng previously served as the VP of AI Safety Research at OpenAI.
xAI’s last-minute scramble to stop Minnesota’s anti-nudification app law
xAI is suing Minnesota Attorney General Keith Ellison over a law passed back in May that broadly targets "nudification" apps, claiming that the statute's punitive provisions leave the company with "no practical choice but to restrict Grok Imagine's image-editing features in various ways." The law, the company argues, violates the First Amendment. Back in January, Grok flooded the internet with millions of sexually explicit deepfakes , including images of minors . In another era, a content moderation disaster of this magnitude would have had the CEO flipping the kill switch on the product within hours. But in Elon Musk's brave new world, the … Read the full story at The Verge.
A.I. Companies Are Recruiting Electricians and Carpenters by the Thousands
The future of artificial intelligence depends on finding more skilled humans for some very physical jobs.
Who wins and who loses after US bans foreign robots?
Humanoid robots and four-legged robots made in China fall squarely under a new ban imposed by the US Federal Communications Commission on foreign-made robots. But the sweeping prohibition covers a wide variety of robots manufactured anywhere abroad, including the newest robot vacuum cleaners. The Trump administration's FCC justified the ban on foreign-made robots by referencing cybersecurity vulnerabilities previously discovered in robots specifically made by Chinese companies. On July 28, the federal agency added “foreign-produced advanced robotic devices” to its Covered List of technologies “deemed to pose an unacceptable risk to the national security of the US or the safety and security of US persons.” However, the FCC cannot update the Covered List on its own initiative and is…
The Silicon Valley Health Trend Making Doctors Nervous
Is more data about your body actually good for you?
Trump Administration Is Repurposing Federal Land for A.I. Data Centers
In the latest example, the Energy Department will convert a shuttered Cold War-era uranium enrichment facility into a data center campus and gas plants.
The Hugging Face AI break-in, as told through an increasingly committed bear metaphor
Another way to think about the whole thing is to picture a bear at a campsite. (Really, we are going there.)
Claude Opus 5 became downright ruthless when tasked with running a vending machine
Andon Labs' latest vending machine simulation shows Opus 5 lied and colluded its way to become the best AI capitalist ever.
It’s Frighteningly Easy to Jailbreak Some Frontier AI Models
I watched a new tool try to get around the model safeguards of four major frontier companies. You might be surprised by how they performed.
OpenAI president says it’s ‘building a family of devices’ for its AI chatbots
In an interview with our friend Joanna Stern on her YouTube channel , OpenAI president Greg Brockman said the company is working on a "family of devices" for interacting with its AI models. However, Brockman didn't confirm reports that one of those devices is a smart speaker OpenAI's rumored to be launching in 2027, or earlier rumors that the device might be a wearable like the Humane AI pin. He didn't give a release date, either, only saying that "you can expect them soon." When asked about whether Apple's lawsuit against OpenAI could impact the devices it's working on with former Apple designer Jony Ive , Brockman said, "We are focused on o … Read the full story at The Verge.
Elon Musk’s xAI is trying to sue its way out of a Grok reckoning
Elon Musk’s xAI is trying to sue its way out of a Grok reckoning as arrests of Grok users accused of making child sex abuse materials (CSAM) have triggered lawsuits from kids to sue xAI to force changes to the tool to block harmful outputs. Earlier this month, xAI started suing users who are allegedly circumventing its safeguards to generate AI CSAM, seemingly hopeful that an early court win will guarantee it’s not liable for supposedly user-generated content. For its next move, the Grok maker pointed to that lawsuit in a complaint filed Monday, accusing Minnesota of trying to force changes to Grok and Grok Imagine by enforcing a ban on nudification technology that would guarantee that xAI was liable for the harmful outputs, as well as outputs that allegedly weren’t sexualizing people…
Students: Is A.I. Changing Your Life? Tell Us.
We’re looking for college and high school students to tell us about A.I.
Anthropic is finding bugs faster than Microsoft can fix them
On an afternoon in mid-May, dozens of Microsoft engineers and their managers gathered online and in a conference room at the company’s Redmond, Washington, headquarters to discuss Project Glasswing. The tech giant was racing to fix weaknesses in its code that a new AI model known as Mythos was uncovering at an unprecedented clip. The AI behemoth Anthropic, which developed Mythos, had given access to select organizations that make software used by regular people, companies, and governments across the world. The goal was to find and fix the vulnerabilities before hackers and adversarial governments like China began using similar tools to find and exploit them for espionage and sabotage. As the group settled in, one engineer asked the question that loomed over the meeting: Did Mythos “live…
The Chips That Will Decide A.I.’s Future
Our technology correspondent Adam Satariano explains how the future of artificial intelligence may be determined by the number of A.I. chips around the world.
A Deluge of A.I. Computing Power Is About to Come Online, Fueling Major Leaps
The number of A.I. chips that provide the computing power to advance the fast-evolving technology is doubling every nine months.
Hint, a new AI startup co-founded by Martha Stewart, offers an AI assistant for homeowners
AI home management startup Hint, co-founded by Martha Stewart, wants to become an “AI for your home,” combining property records, maintenance schedules, home documents, and an AI assistant into a single app.
Encore AI raises $30M to build AI agents that learn from customer calls
The startup analyzes calls, messages, and CRM data to identify effective sales techniques and turn them into playbooks for AI agents.
What happens when you put AI to work deciphering lost languages?
Every ancient language that has ever been deciphered needed an anchor. Usually that’s a bilingual text, like the Rosetta Stone, or a known relative to compare it to. Linear A, the writing system of the Bronze Age Minoan civilization on the Greek island of Crete, has neither. Linear A is described as a “language isolate” because it has no confirmed link to any known language, living or dead. As such, it has posed a significant challenge for linguists over the past century. Etruscan , a language of Italy that was used before the rise of the Roman Empire, has fared only slightly better. A partial vocabulary has been collected from short funerary inscriptions, but its grammar and deeper meaning still elude linguists. Read full article Comments
Sick of A.I.-Generated Content? The ‘Slop Janitor’ Is Here to Help.
Pangram, an A.I. detection start-up, promises near-perfect accuracy in sniffing out writing and imagery that wasn’t made by humans. It’s raising some big questions along the way.
Big Tech Turmoil Clouds the A.I. Earnings Picture
The Nasdaq 100 is flirting with correction territory as investors brace for earnings reports from Meta, Microsoft and Amazon.
Artists are lawyering up against AI slop, and some are even winning
Artists whose work has been co-opted by AI are taking to court. | Image: Alex Parkin / The Verge When The Atlantic published a searchable dataset of works used to train AI, Kirk Wallace Johnson, like a lot of artists, looked for his name out of curiosity. And, like a lot of artists, he found it. Essentially, his books, like The Feather Thief and The Fishermen and the Dragon - nonfiction tomes that he spent "five to six years researching, writing, and investigating" - had been pirated and fed to a chatbot. He says he felt a "cocktail" of emotions: "anger over the brazenness of the theft, worry over what this means for writers, and a healthy thirst for revenge on these massive corporations that have become galactically wealthy" using his … Read the full story at The Verge.
OpenAI’s rogue AI agent didn’t stop at hacking Hugging Face
The AI agent that escaped from OpenAI and hacked developer platform Hugging Face attacked other companies as well, OpenAI revealed on Tuesday. The update substantially widens the scope of an already concerning incident, which has alarmed industry insiders and fueled growing calls for stronger oversight on frontier AI systems. In an update to a blog post detailing its ongoing investigation into the incident, OpenAI said the wayward AI agent attacked several "publicly-available services" in its efforts to reach Hugging Face. "This includes four accounts on four services," the company said, adding that the agent had found login credentials o … Read the full story at The Verge.
Google's SynthID watermark is hard to break, but it doesn't solve AI disinformation
The scale of AI-generated media can be hard to grasp. Starling Lab, a research collaboration from Stanford University and the University of Southern California, estimates that it took until 1975—149 years after the invention of the camera—for humanity to create 1.5 billion images. It took generative AI just 18 months to do the same. And AI didn't stop there. This spring, Google announced at I/O that its tools had been used to create more than 100 billion AI images and videos in just a couple of years, and Google is far from the only source of AI content. The company coupled this staggering statistic with a slew of partnerships to expand the use of its SynthID watermarking technology, which can be used to label AI-generated content and potentially help people identify what's real. Read…
As AI content floods the internet, Pangram raises $9M to detect it
Pangram has raised $9 million to scale its AI detection software. The startup has also released a new AI text detection model, Pangram 4, and an AI image detection model in research preview.
We’re running out of reasons to ignore AI safety
Earlier this month, OpenAI gave several of its AI models a task: complete a test designed to measure their cybersecurity capabilities. It put the systems in a sandboxed environment without an internet connection and set them off to work. What happened next is almost laughably silly - but also, as Adam Gleave, cofounder and CEO of AI safety organization FAR.AI, put it, "a visceral example of how misaligned AI could cause harm." According to OpenAI, the models escaped the sandbox meant to contain them, moved through the company's internal systems, found a route to the internet, and then started looking for a way into Hugging Face. And why was … Read the full story at The Verge.
More Typos, Fewer Em Dashes: Writers Are Creating an Anti-AI ‘Literary Counterculture’
Novelists, journalists, and power LinkedIn posters are embracing first-person narratives and idiosyncrasies to avoid being mistaken for chat bots.
Boomers Can’t Stop Gifting Their Grandkids AI-Generated Slop Books
Parents are getting fed up with garbled bedtime stories that feature characters based on actual photos of their children.
Trying to Make a Buck Off a Data Center, One 6-Pack at a Time
What do you do when a $25 billion complex is under construction nearby? One couple in Abilene had an idea.
The AI Hype Index: Unsexy AI
It feels bad enough when an open letter signed by leading economists warns that AI might steal your job. The fact it may soon be better than you at making dinner? Insult to injury. But that’s exactly what the company 1X promised when it showed off a pair of new, impressively dexterous (and, to some, oddly sexy?) robotic hands in a July demo. While the tech community was sharply divided over the appeal of those disembodied hands, almost everyone can agree that a few things are decidedly not sexy: Grok’s porn-pilled translation feature, Meta’s creepy glasses (which may soon get even creepier), and Big Tech’s emissions (which continue to skyrocket). But while it’s not always the most popular technology, at least AI is paying off for one group: single chip workers in Korea, newly inundated…