MAROKO133 Eksklusif ai: China finds 9.7 million tons of rare earth oxides in major mineral

📌 MAROKO133 Breaking ai: China finds 9.7 million tons of rare earth oxides in majo

Beijing has unveiled significant new deposits of critical minerals, reinforcing its access to resources vital for high-tech manufacturing, clean energy systems and defense applications.

At the Maoniuping mine in Mianning county, in Sichuan province, newly confirmed reserves include 9.7 million tonnes of rare earth oxides, raising the site’s total proven resources to 10.4 million tonnes, according to state news agency Xinhua. 

The latest surveys also identified substantial quantities of other industrial minerals, with 27.1 million tonnes of fluorite and 37.2 million tonnes of baryte. Authorities classified both as “super-large” deposits, underscoring the scale of the find and its potential strategic importance for China’s industrial supply chains.

Fluorite and baryte take center stage in China’s find

Newly identified reserves are expected to further consolidate China’s dominance in the global supply of rare earths – a group of 17 elements essential to technologies ranging from smartphones and electric vehicles to advanced weapons systems and spacecraft.

However, experts suggest the most consequential aspect of the discovery lies elsewhere. According to Wang Denghong, director of the Institute of Mineral Resources at the Chinese Academy of Geological Sciences, the fluorite and baryte deposits stand out as the truly “stunning” finds, the South China Morning Post reported.

Fluorite, or fluorspar, plays a critical role in semiconductor manufacturing and lithium-ion battery production, while baryte is indispensable in oil and gas drilling, where it is used to stabilise wells and prevent blowouts. Without baryte, Wang noted, modern hydrocarbon exploration – including shale extraction – would effectively come to a standstill.

In a separate development, officials in Gansu province have announced the discovery of an additional 51,455 tonnes of antimony in Tanchang county. The metal, commonly used as a flame retardant in plastics and electronic components, is a key industrial input, and the new find is expected to boost the area’s proven reserves by more than 50%, according to the provincial department of natural resources.

Using rare earth supply chain power in response to US tariffs

Holding a dominant position in global rare earth production, Beijing has increasingly used its control over these critical materials as leverage in trade and technology tensions with Washington. In April last year, Chinese authorities introduced export restrictions on seven rare earth elements and permanent magnets, a move that followed tariffs imposed on Chinese goods by Donald Trump.

Under the revised export control framework, companies are now required to obtain government approval before shipping restricted materials overseas, adding an additional layer of oversight to outbound trade. However, Beijing indicated in December that it had started issuing longer-term export licences with extended validity periods, a move seen as an effort to provide greater predictability for select trading partners and stabilise supply chains.

Early indications suggest the policy shift has helped revive shipments to Europe, where buyers have adjusted more quickly to the new licensing regime. By contrast, exports to the US remain subdued, pointing to continued frictions in bilateral trade flows and the lingering impact of broader geopolitical and regulatory tensions.

🔗 Sumber: interestingengineering.com

📌 MAROKO133 Hot ai: Claude Code costs up to $200 a month. Goose does the same thin

The artificial intelligence coding revolution comes with a catch: it's expensive.

Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. But its pricing — ranging from $20 to $200 per month depending on usage — has sparked a growing rebellion among the very programmers it aims to serve.

Now, a free alternative is gaining traction. Goose, an open-source AI agent developed by Block (the financial technology company formerly known as Square), offers nearly identical functionality to Claude Code but runs entirely on a user's local machine. No subscription fees. No cloud dependency. No rate limits that reset every five hours.

"Your data stays with you, period," said Parth Sareen, a software engineer who demonstrated the tool during a recent livestream. The comment captures the core appeal: Goose gives developers complete control over their AI-powered workflow, including the ability to work offline — even on an airplane.

The project has exploded in popularity. Goose now boasts more than 26,100 stars on GitHub, the code-sharing platform, with 362 contributors and 102 releases since its launch. The latest version, 1.20.1, shipped on January 19, 2026, reflecting a development pace that rivals commercial products.

For developers frustrated by Claude Code's pricing structure and usage caps, Goose represents something increasingly rare in the AI industry: a genuinely free, no-strings-attached option for serious work.

Anthropic's new rate limits spark a developer revolt

To understand why Goose matters, you need to understand the Claude Code pricing controversy.

Anthropic, the San Francisco artificial intelligence company founded by former OpenAI executives, offers Claude Code as part of its subscription tiers. The free plan provides no access whatsoever. The Pro plan, at $17 per month with annual billing (or $20 monthly), limits users to just 10 to 40 prompts every five hours — a constraint that serious developers exhaust within minutes of intensive work.

The Max plans, at $100 and $200 per month, offer more headroom: 50 to 200 prompts and 200 to 800 prompts respectively, plus access to Anthropic's most powerful model, Claude 4.5 Opus. But even these premium tiers come with restrictions that have inflamed the developer community.

In late July, Anthropic announced new weekly rate limits. Under the system, Pro users receive 40 to 80 hours of Sonnet 4 usage per week. Max users at the $200 tier get 240 to 480 hours of Sonnet 4, plus 24 to 40 hours of Opus 4. Nearly five months later, the frustration has not subsided.

The problem? Those "hours" are not actual hours. They represent token-based limits that vary wildly depending on codebase size, conversation length, and the complexity of the code being processed. Independent analysis suggests the actual per-session limits translate to roughly 44,000 tokens for Pro users and 220,000 tokens for the $200 Max plan.

"It's confusing and vague," one developer wrote in a widely shared analysis. "When they say '24-40 hours of Opus 4,' that doesn't really tell you anything useful about what you're actually getting."

The backlash on Reddit and developer forums has been fierce. Some users report hitting their daily limits within 30 minutes of intensive coding. Others have canceled their subscriptions entirely, calling the new restrictions "a joke" and "unusable for real work."

Anthropic has defended the changes, stating that the limits affect fewer than five percent of users and target people running Claude Code "continuously in the background, 24/7." But the company has not clarified whether that figure refers to five percent of Max subscribers or five percent of all users — a distinction that matters enormously.

How Block built a free AI coding agent that works offline

Goose takes a radically different approach to the same problem.

Built by Block, the payments company led by Jack Dorsey, Goose is what engineers call an "on-machine AI agent." Unlike Claude Code, which sends your queries to Anthropic's servers for processing, Goose can run entirely on your local computer using open-source language models that you download and control yourself.

The project's documentation describes it as going "beyond code suggestions" to "install, execute, edit, and test with any LLM." That last phrase — "any LLM" — is the key differentiator. Goose is model-agnostic by design.

You can connect Goose to Anthropic's Claude models if you have API access. You can use OpenAI's GPT-5 or Google's Gemini. You can route it through services like Groq or OpenRouter. Or — and this is where things get interesting — you can run it entirely locally using tools like Ollama, which let you download and execute open-source models on your own hardware.

The practical implications are significant. With a local setup, there are no subscription fees, no usage caps, no rate limits, and no concerns about your code being sent to external servers. Your conversations with the AI never leave your machine.

"I use Ollama all the time on planes — it's a lot of fun!" Sareen noted during a demonstration, highlighting how local models free developers from the constraints of internet connectivity.

What Goose can do that traditional code assistants can't

Goose operates as a command-line tool or desktop application that can autonomously perform complex development tasks. It can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows across multiple files, and interact with external APIs — all without constant human oversight.

The architecture relies on what the AI industry calls "tool calling" or "<a href="https://platform.openai…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com