📌 TOPINDIATOURS Update ai: Claude Code costs up to $200 a month. Goose does the sa

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…

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🔗 Sumber: venturebeat.com

📌 TOPINDIATOURS Breaking ai: There’s a $10 Billion Problem With Elon Musk’s New Ch

If Elon Musk ever cuts the ribbon on his massive chip factory “Terafab,” it could be among the largest buildings on Earth — and one of the most expensive.

Terafab, announced in a painfully awkward conference over the weekend, is a joint semiconductor venture between Musk’s SpaceX, Tesla, and xAI companies. Should it ever come to be — we’re skeptical — the factory would be much bigger than its already-existing Giga Texas facility, and would surely be the largest chip plant on the planet.

In his early estimates, Musk said the initial costs for Terafab could come out to around $20 to $25 billion, which is not currently reflected in Tesla’s 2026 capital expenditures.

At the low end, the Terafab plant could already be tied for the sixth most expensive building in the world with the Akkuyu Nuclear Plant in Turkey. At the high end, it could also tie for fourth with the International Thermonuclear Experimental Reactor, a research facility in the south of France that could be the world’s largest fusion reactor when it finally opens after being under construction since 2013.

That’s only if costs stay within Musk’s initial estimates — which, as watchers of his business activities know well, is far from a given. According to Investopedia, Morgan Stanley estimates the total cost for a chip factory of that size could easily cost $20 billion more than Musk’s early estimates, somewhere more in the $35 to $45 billion range. That far eclipses the company’s planned 2026 capital expenditures, and at best is $10 billion more than Musk’s highest estimate, signaling a major gulf between the multi-billionaire’s fantasies and financial reality.

Such a financial clash could be underscored by the fact that Musk has no experience leading a chip company, and has a history of flubbing hardware ventures in their early days.

Either way, Musk says there’s no choice but to forge ahead. “We either build the Terafab or we don’t have the chips, and we need the chips, so we build the Terafab,” he said in his announcement. “So… yeah.”

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The post There’s a $10 Billion Problem With Elon Musk’s New Chip Factory appeared first on Futurism.

🔗 Sumber: futurism.com