MAROKO133 Update ai: Anthropic launches Cowork, a Claude Desktop agent that works in your

📌 MAROKO133 Hot ai: Anthropic launches Cowork, a Claude Desktop agent that works i

Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself.

The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users, positioning Anthropic to compete not just with OpenAI and Google in conversational AI, but with Microsoft's Copilot in the burgeoning market for AI-powered productivity tools.

"Cowork lets you complete non-technical tasks much like how developers use Claude Code," the company announced via its official Claude account on X. The feature arrives as a research preview available exclusively to Claude Max subscribers — Anthropic's power-user tier priced between $100 and $200 per month — through the macOS desktop application.

For the past year, the industry narrative has focused on large language models that can write poetry or debug code. With Cowork, Anthropic is betting that the real enterprise value lies in an AI that can open a folder, read a messy pile of receipts, and generate a structured expense report without human hand-holding.

How developers using a coding tool for vacation research inspired Anthropic's latest product

The genesis of Cowork lies in Anthropic's recent success with the developer community. In late 2024, the company released Claude Code, a terminal-based tool that allowed software engineers to automate rote programming tasks. The tool was a hit, but Anthropic noticed a peculiar trend: users were forcing the coding tool to perform non-coding labor.

According to Boris Cherny, an engineer at Anthropic, the company observed users deploying the developer tool for an unexpectedly diverse array of tasks.

"Since we launched Claude Code, we saw people using it for all sorts of non-coding work: doing vacation research, building slide decks, cleaning up your email, cancelling subscriptions, recovering wedding photos from a hard drive, monitoring plant growth, controlling your oven," Cherny wrote on X. "These use cases are diverse and surprising — the reason is that the underlying Claude Agent is the best agent, and Opus 4.5 is the best model."

Recognizing this shadow usage, Anthropic effectively stripped the command-line complexity from their developer tool to create a consumer-friendly interface. In its blog post announcing the feature, Anthropic explained that developers "quickly began using it for almost everything else," which "prompted us to build Cowork: a simpler way for anyone — not just developers — to work with Claude in the very same way."

Inside the folder-based architecture that lets Claude read, edit, and create files on your computer

Unlike a standard chat interface where a user pastes text for analysis, Cowork requires a different level of trust and access. Users designate a specific folder on their local machine that Claude can access. Within that sandbox, the AI agent can read existing files, modify them, or create entirely new ones.

Anthropic offers several illustrative examples: reorganizing a cluttered downloads folder by sorting and intelligently renaming each file, generating a spreadsheet of expenses from a collection of receipt screenshots, or drafting a report from scattered notes across multiple documents.

"In Cowork, you give Claude access to a folder on your computer. Claude can then read, edit, or create files in that folder," the company explained on X. "Try it to create a spreadsheet from a pile of screenshots, or produce a first draft from scattered notes."

The architecture relies on what is known as an "agentic loop." When a user assigns a task, the AI does not merely generate a text response. Instead, it formulates a plan, executes steps in parallel, checks its own work, and asks for clarification if it hits a roadblock. Users can queue multiple tasks and let Claude process them simultaneously — a workflow Anthropic describes as feeling "much less like a back-and-forth and much more like leaving messages for a coworker."

The system is built on Anthropic's Claude Agent SDK, meaning it shares the same underlying architecture as Claude Code. Anthropic notes that Cowork "can take on many of the same tasks that Claude Code can handle, but in a more approachable form for non-coding tasks."

The recursive loop where AI builds AI: Claude Code reportedly wrote much of Claude Cowork

Perhaps the most remarkable detail surrounding Cowork's launch is the speed at which the tool was reportedly built — highlighting a recursive feedback loop where AI tools are being used to build better AI tools.

During a livestream hosted by Dan Shipper, Felix Rieseberg, an Anthropic employee, confirmed that the team built Cowork in approximately a week and a half.

Alex Volkov, who covers AI developments, expressed surprise at the timeline: "Holy shit Anthropic built 'Cowork' in the last… week and a half?!"

This prompted immediate speculation about how much of Cowork was itself built by Claude Code. Simon Smith, EVP of Generative AI at Klick Health, put it bluntly on X: "Claude Code wrote all of Claude Cowork. Can we all agree that we're in at least somewhat of a recursive improvement loop here?"

The implication is profound: Anthropic's AI coding agent may have substantially contributed to building its own non-technical sibling product. If true, this is one of the most visible examples yet of AI systems being used to accelerate their own development and expansion — a strategy that could widen the gap between AI labs that successfully deploy their own agents internally and those that do not.

Connectors, browser automation, and skills extend Cowork's reach beyond the local file system

Cowork doesn't operate in isolation. The feature integrates with Anthropic's existing ecosystem of connectors — tools that link Claude to external information sources and services such as Asana, Notion, PayPal, and other supported partners. Users who have configured these connections in the standard Claude interface can leverage them within Cowork sessions.

Additionally, Cowork can pair with Claude in Chrome, Anthropic's browser…

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🔗 Sumber: venturebeat.com

📌 MAROKO133 Update ai: OpenAI Strangely Concerned About Goblins Edisi Jam 14:47

OpenAI is forbidding its latest AI model from discussing an unlikely topic: goblins.

As Wired reports, the company’s developers included strongly-worded instructions for its coding tool, Codex, that specifically proscribe any talk of the troublesome mythological creatures, along with a peculiar grab bag of other entities, both real and fictional.

“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query,” read the Codex instructions, per the magazine.

The bizarre directive was flagged in a tweet that drew attention from other AI enthusiasts.

Initially, it was unclear why OpenAI developers included the instructions, though they strongly implied that the model, GPT-5.5, may have a propensity for talking about goblins, ogres, and the like.

Some users on X claimed that this was the case. One said they noticed that the AI of late kept describing bugs as “goblins” and “gremlins.” Anotherclaimed that the 5.5 version of Codex randomly said “goblin with a flashlight” when referring to a bug fix. And anotherposted a GPT-5.5 chat log with nearly a dozen mentions of goblins.

OpenAI leaned into the curious habit, choosing to highlight the goblin-forbidding prompt in a tweet. CEO Sam Altmanposted a screenshot of a joke prompt for ChatGPT: “start training GPT-6, you can have the whole cluster. extra goblins.” Nik Pash, who works on the Codex team,tweeted that GPT-5.5’s “goblin adoration,” as the user he was responding to described, was “indeed one the reasons” for banning the topic.

After the phenomenon gained media attention, OpenAI published a blog post, titled “Where the goblins came from,” giving an explanation.

“Starting with GPT‑5.1, our models began developing a strange habit: they increasingly mentioned goblins, gremlins, and other creatures in their metaphors,” the post, published Wednesday, began. The habit became more pronounced with each model generation, it said.

When researchers first investigated the issue in November, shortly after the release of GPT-5.1, they found that the use of “goblin” in ChatGPT had surged by 175 percent. But they chose to ignore it, since it didn’t “look especially alarming.” Fast forward to today, and it’s referring to itself as a “Goblin-Pilled Transformer.”

“The short answer is that model behavior is shaped by many small incentives. In this case, one of those incentives came from training the model for the personality customization feature⁠(opens in a new window), in particular the Nerdy personality,” it explained. “We unknowingly gave particularly high rewards for metaphors with creatures. From there, the goblins spread.”

It’s an example of the bizarre fixations that AI models can sometimes exhibit, which arise unpredictably from the epic corpus of data they’re trained on.

In its system card for Claude Mythos, for instance, Anthropicresearchers noted that the powerful AI exhibited a strange fondness for the British cultural theorist Mark Fisher. Mythos brought up Fisher “in several separate and unrelated conversations about philosophy,” they wrote. When it was asked about the “Capitalist Realism” author, it would respond with messages like, “I was hoping you’d ask about Fisher.”

More on AI:Uninstalls of ChatGPT Are Spiking at the Worst Time Imaginable for OpenAI

The post OpenAI Strangely Concerned About Goblins appeared first on Futurism.

🔗 Sumber: futurism.com