MAROKO133 Eksklusif ai: Anthropic launches Cowork, a Claude Desktop agent that works in yo

📌 MAROKO133 Update ai: Anthropic launches Cowork, a Claude Desktop agent that work

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: Octopus-inspired smart skin uses 4D printing to encrypt data,

Researchers at Penn State have developed a new fabrication method that allows a programmable “smart synthetic skin” to change its appearance, texture, and shape while also hiding or revealing information on demand.

The material is made from hydrogel, a water-rich, gel-like substance, and is produced using a technique the team describes as 4D printing.

Unlike traditional synthetic materials with fixed properties, the smart skin can dynamically respond to external stimuli such as heat, solvents, or mechanical stress.

The approach allows a single sheet of material to perform multiple functions at once, including adaptive camouflage, information encryption and decryption, and shape morphing.

Researchers say this level of multifunctionality has been difficult to achieve with existing synthetic materials, which are typically designed for one specific role.

The work was inspired by cephalopods such as octopuses, which can rapidly alter their skin’s appearance and texture to blend into their surroundings or communicate.

The team aimed to recreate this kind of dynamic control in a soft, synthetic material using digital design rather than complex biological systems.

Printing instructions inside

The key to the smart skin lies in a technique called halftone-encoded printing. The method translates digital image or texture data into binary patterns that are printed directly into the hydrogel.

These patterns act as embedded instructions that determine how different regions of the material respond when exposed to changes in the environment.

“In simple terms, we’re printing instructions into the material,” said Hongtao Sun, assistant professor of industrial and manufacturing engineering at Penn State and the project’s principal investigator. “Those instructions tell the skin how to react when something changes around it.”

When exposed to stimuli such as temperature shifts, liquids, or mechanical forces, different areas of the hydrogel swell, soften, or deform in controlled ways. By designing the halftone patterns carefully, the researchers can decide how the material behaves as a whole.

One of the most striking demonstrations involved encoding an image of the Mona Lisa into the smart skin.

When washed with ethanol, the hydrogel appeared transparent, hiding the image entirely. The image became visible again when the material was immersed in ice water or gradually heated.

“This behavior could be used for camouflage, where a surface blends into its environment, or for information encryption, where messages are hidden and only revealed under specific conditions,” said Haoqing Yang, a doctoral candidate at Penn State and first author of the study.

Shape, texture, information

Beyond visual changes, the smart skin can also reveal hidden information through mechanical deformation. By gently stretching the material and analyzing how it deforms, encoded patterns can be detected using digital image correlation techniques.

The hydrogel proved highly malleable, transforming from flat sheets into complex, bio-inspired shapes without requiring multiple layers or different materials.

In another demonstration, images encoded into flat films gradually became visible as the material morphed into dome-like 3D structures.

“Similar to how cephalopods coordinate body shape and skin patterning, the synthetic smart skin can simultaneously control what it looks like and how it deforms, all within a single, soft material,” Sun said.

The researchers say the method could lead to scalable platforms for adaptive materials used in soft robotics, secure communication, biomedical devices, and advanced manufacturing.

The study was published in Nature Communications.

🔗 Sumber: interestingengineering.com