MAROKO133 Breaking ai: Anthropic launches Cowork, a Claude Desktop agent that works in you

📌 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…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com

📌 MAROKO133 Hot ai: Uncrewed 37-foot Orca-like strike submarine can unleash missil

A Turkish defense company has recently unveiled a new strike-capable extra-large uncrewed underwater vehicle that can unleash drones, missiles, torpedoes, and mine warfare payloads to take out threats.

Datum Submarine Technologies, a defense firm that specializes in the design and engineering of manned and unmanned mini-submarines, demonstrated its Sinarit XLUUV (Extra Large Uncrewed Undersea Vehicle) concept at the SAHA Expo 2026. The event took place in Istanbul from May 5 to 9.

Often called Orca by the US Navy, the Sinarit UUV is a large, autonomous diesel-electric submarine drone created for months-long, independent and long-range missions without human presence on board.

To make the unmanned underwater vehicle (UUV), Datum used experience gained from earlier mini-submarines designed for deep and shallow waters. The vehicle is made with interchangeable 12.5-foot (3.8-meter) payload sections. These help it switch between intelligence gathering, mine countermeasures, torpedo missions, and strike operations.

New drone submarine

During the event, Datum revealed visuals portraying the 19.8-ton (18-tonne) UUV deploying one-way-attack FPV (First Person View) drones from under the surface.

The company said the platform can be configured for up to 12 different mission payloads. These include Baykar swarm drone launch systems, Malaman smart bottom mines, Akya and Orka torpedoes, and advanced intelligence-gathering sensors from Aselsan.

The submarine can also integrate Meteksan synthetic aperture sonar (SAS), ROV systems for mine countermeasure missions, alongside Roketsan Atmaca and Cakir anti-ship missiles, Tubitak Gezgin land-attack missiles, and Gokdogan surface-to-air missiles for operations targeting sea, land, and aerial threats.

“Sinarit is an underwater pickup truck,” Munir Cansin Ozden, PhD, Datum board chairman and ITU faculty member, pointed out. “Whatever payload you put in its 3.8-meter cargo bay, it can secretly carry it to wherever you want underwater.”

Strike missions underwater

The 37.7-foot UUV can be transported inside a standard shipping container and can also be airlifted by an A400M cargo aircraft. According to Baird Maritime, it will boast a maximum surface speed of 12 knots and a top submerged speed of eight knots. It will reportedly be designed to operate at depths of up to 328 feet (100 meters).

“While submerged, it cannot be detected by radar, cannot be tracked by satellite, and because it is designed with a low sonar cross-section and very quiet operation, detection by sonar is nearly impossible,” Ozden told Türkiye Today.

Alongside the Sinarit reveal, Datum also showcased its more mature ÇAMD mini submarine program, which completed its first unmanned dive on April 14, in the Sea of Marmara off Karamursel. The test was observed by representatives from the Defense Industries Secretariat and Turkish Lloyd surveyors, while the assembly took place at Sefine Shipyard.

The 39-foot (12-meter) platform can operate at depths of nearly 1,000 feet (300 meters) and can reach speeds of up to 10 knots. Over 80 percent of the system is made with domestic components. Some of them include a pressure hull produced by Yakut Kazan, a motor supplied by Femsan DC Motor Factory, and a propeller developed by Eris Pervane.

Datum said that ÇAMD is planned as a test platform for systems developed under the nation’s Milden submarine program. It will help with underwater testing without using operational submarines.

🔗 Sumber: interestingengineering.com