MAROKO133 Breaking ai: You Are Not Prepared to Learn the Size of Neanderthal Infants Edisi

📌 MAROKO133 Hot ai: You Are Not Prepared to Learn the Size of Neanderthal Infants

Neanderthal babies were apparently bigger — and grew faster — than familiar human tykes.

At least, El Pais reports, that’s the conclusion from a team of scientists based in Israel and Europe who analyzed the remains of a six-month-old Neanderthal ankle biter who was downright colossal, at a comparable size to a one-year-old homo sapien.

That means the babies of Neanderthals, extinct cousins to us contemporary humans, were real life versions of the distinctly sturdy cave baby Bamm-Bamm Rubble from the iconic animated show “The Flintstones”

The scientists noticed that while the skeletal remains of the Neanderthal child, buried in a cave in Northern Israel about 51,000 to 56,000 years ago, sported relatively thick bones and a large skull that made it seem older, the development of its teeth betrayed its younger age, as detailed in a new paper in the journal Current Biology.

“I believe that the histological age of the teeth is more accurate than age measured by the volume of the long bones or the endocranial cavity for estimating such a young age,” Ella Been, Tel Aviv University professor in anatomy and anthropology and the paper’s first author, told El Pais.

Previous research in 2022 also found that Neanderthal kids had more robust bones than that of modern human children; fully mature specimens of Neanderthals are typically stockier and shorter than us human adults.

“When compared with other known Neanderthal infants, the same pattern emerges: faster body and brain growth, suggesting greater energy expenditure,” Been told El Pais. “Understanding this pattern is crucial to understanding who Neanderthals were and how they adapted to their environment.”

The baby Been studied was found in a cave along with about 20 other deceased Neanderthals back in the 1960s, but scientists only started studying the remains in the 1990s. This new paper is the first comprehensive study of the child’s 111 recovered bones, according to El Pais.

This finding not only reveals more information on the development of Neanderthals, who remain mysterious, but it also throws in high relief the differences between them and us; Neanderthals lived in Europe and Asia between 400,000 to 40,000 years ago, back when conditions were harsher than they are today, and hence they went through a process of natural selection that seemingly favored the survival of robust, well-built children that could mature quickly.

Even with these differences, that didn’t stop our ancestors from getting to know each other — because there’s evidence that male Neanderthals and female humans mated and produced offspring. Signs of these intimate relations are scattered throughout our DNA, telling an ancient story of when two hominid species coexisted during prehistory.

More on Neanderthals: Scientists Find Evidence That Humans Made Out With Non-Human Creatures

The post You Are Not Prepared to Learn the Size of Neanderthal Infants appeared first on Futurism.

🔗 Sumber: futurism.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