MAROKO133 Breaking ai: China hosts world’s largest real-life ‘Quidditch’ drone soccer even

📌 MAROKO133 Eksklusif ai: China hosts world’s largest real-life ‘Quidditch’ drone

The Ablefly National Drone Soccer Championship Finals concluded on Sunday in Chengdu, marking a milestone for both competitive sports and the low-altitude economy.

The event brought together more than 10,000 participants, making it the world’s largest drone soccer tournament to date.

A total of 1,116 teams from China and overseas competed over three days at the Chengdu Airport International Convention Center.

The finals highlighted how emerging aviation technologies are moving beyond industry use cases and into organized mass-participation sports.

Drone soccer requires pilots to maneuver spherical drones through an opposing goal. The rapid aerial gameplay has drawn comparisons to a real-world version of “Quidditch” from the Harry Potter series.

The format blends engineering skill, hand-eye coordination, and tactical teamwork.

Held from February 7 to 9, the event was hosted by the People’s Government of Chengdu City and the Chinese Society of Aeronautics. Multiple municipal departments and industry partners supported organization and execution.

By the final day, all championship rankings had been decided.

Record-scale competition

Organizers positioned the finals as the first unmanned aerial vehicle football tournament to reach a “10000 people competing together” scale.

The structure emphasized both professionalism and accessibility, allowing large-scale participation without sacrificing competitive integrity.

The tournament followed a progressive elimination system. Matches ran daily from 8:30 a.m. to 8:00 p.m.

Group matches and early knockout rounds reduced the field from 1,116 teams to 558.

Cross-elimination rounds then narrowed the competition to 279 teams.

On the final day, teams advanced through successive elimination rounds to form a final 16. A round-robin and ranking format determined all placements, including first, second, and third positions.

The dense schedule tested pilot endurance and team coordination.

To ensure consistent officiating, organizers deployed 242 certified referees.

The referees oversaw match rules, scoring accuracy, and safety compliance. Their presence supported fair play across hundreds of matches.

Youth-driven tech sport

Drone soccer has moved quickly from a niche activity to a youth-driven competitive sport.

The Chengdu finals demonstrated strong interest from students, hobbyists, and technology professionals.

Many participants treated the tournament as both a sporting contest and a technical showcase.

The event also reflected Chengdu’s reputation as a city receptive to new consumer technologies.

Organizers viewed the city as a suitable testing ground for the integration of “technology+sports,” citing its innovation culture and youth engagement.

The competition served as a platform for hands-on exposure to low-altitude aviation systems.

Teams refined control algorithms, flight stability, and collision management under real match conditions.

More than 200 volunteers supported the finals through Chengdu’s “Little Green Pepper” youth program.

University students assisted with athlete registration, timing, scoring, technical operations, and venue guidance. Their work enabled smooth event flow across multiple venues and match cycles.

Beyond competition results, the finals offered a window into how cities may integrate low-altitude technologies into public life.

The event connected sports consumption, aviation innovation, and youth participation at an unprecedented scale.

As drone soccer concluded its largest championship yet, organizers framed the event as a preview of how emerging aviation sports could develop alongside the expanding low-altitude economy.

🔗 Sumber: interestingengineering.com

📌 MAROKO133 Breaking ai: Anthropic launches Cowork, a Claude Desktop agent that wo

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