📌 TOPINDIATOURS Update ai: Scientists Suggest That Igniting Oil Spills to Create F

When you think of saving our oceans, what comes to mind? Maybe you think about reef restoration techniques like coral transplantation, or making small consumption changes like switching from plastic straws. If you have money to dream big, perhaps you might ponder creating a big robot that roams the waters, sucking up floating trash.

Environmental researchers at Texas A&M University are on a whole ‘nother level: they’re proposing massive fire tornadoes.

A recent blurb on the university’s website detailed a recent paper in the journal Fuel that aimed to find the most effective way to clean up oil spills. It involves, improbably, lighting massive “fire whirls,” the technical term for the much more evocative phrase the university used: “fire tornado.”

While it sounds counter-intuitive, the experiment explored whether fire whirls could be an effective method to help clean up the thousands of oil spills that occur each year.

The theory is pretty simple: fire whirls, spinning rapidly upward instead of outward, provide a massive boost to oil burn-offs, creating a fire that burns much hotter — and therefore much faster — than typical oil pool burn-offs. (Remarkably, the current world-standard for cleaning an oil spill is to gather a huge pool of crude on the surface and light it, a technique known as in-situ burning.)

To carry out the experiment, researchers built three 16-foot walls, situated in a loose triangle. The result was a controlled fire-tornado reaching 17-feet in height at its largest, which the scientists probed for environmental impact.

Compared to in-situ burn-offs, researchers at Texas A&M found the controlled fire whirl produced 40 percent less soot, while burning off up to 95 percent of the fuel.

“This the first time anyone has conceived using fire whirls for oil spill remediation, and it’s really just the beginning,” said Elaine Oran, professor of aerospace engineering at Texas A&M. “Our goal is to harness the chaotic nature of fire whirls as a powerful, precise restoration tool, to protect coastlines, marine ecosystems and the environment as a whole.”

Going forward, speed is one of the biggest draws inviting further research on fire whirls. “Fire whirls burn through crude oil spills nearly twice as fast as in-situ fire pools,” Oran said, “potentially giving cleanup crews faster operational and response times to eliminating the oils from spreading.”

More on pollution: Site of Elementary School Was Sprayed With Radioactive Fracking Waste, Worker Warns

The post Scientists Suggest That Igniting Oil Spills to Create Fire Tornadoes Might Actually Be Good for the Oceans appeared first on Futurism.

🔗 Sumber: futurism.com

📌 TOPINDIATOURS Hot ai: Anthropic launches Cowork, a Claude Desktop agent that wor

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