MAROKO133 Hot ai: Claude Code costs up to $200 a month. Goose does the same thing for free

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

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

📌 MAROKO133 Update ai: Scientists Detect Atmosphere on Planet-Like Object Beyond P

Astronomers have long been fascinated by the unusual behavior of objects orbiting the Sun in the Kuiper Belt, a scattered disc of minor planets beyond the orbit of Neptune.

Many of these frozen objects appear to be affected by the gravitational influence of much more massive ones, with some astronomers controversially arguing that the region could be home to a hidden ninth major planet in the solar system.

However, the region’s extreme distance from the Sun makes it incredibly difficult to study, shrouding the nature of “trans-Neptunian objects” (TNOs) in enduring mystery.

Now, a team of astronomers in Japan says it’s spotted only the second TNO to have an atmosphere after the dwarf planet Pluto, the largest known TNO by volume. As detailed in a paper published in the journal Nature Astronomy this week, the researchers say they’ve identified a minor planet only about 311 miles across — roughly a fifth of Pluto’s diameter — that’s wrapped in an extremely thin envelope of gases.

If confirmed, the research could force us to reconsider how atmospheres can form around small objects, and what other mysterious neighbors we might expect to find in the Kuiper Belt.

The team of astronomers, led by National Astronomical Observatory of Japan associate professor and senior lecturer Ko Arimatsu, observed the TNO, dubbed 2002 XV93, as it passed in front of a bright star — rare events known as stellar occultations — in January 2024.

As its name suggests, the object was first discovered in 2002, and is located several billion miles away from Earth. But thanks to its diminutive size, typical for the Kuiper Belt, researchers expected it to closely resemble other similarly-sized TNOs.

However, as it passed in front of the distant background star, Arimatsu and his colleagues saw the starlight gradually fade away, suggesting the presence of an atmosphere since if it didn’t have one, the light would be cut off far more abruptly.

“The observation data showed a smooth change of the star’s brightness near the edge of the shadow, lasting about 1.5 seconds,” he told CNN. “This kind of smooth brightness change is naturally explained if the starlight was bent by a very thin atmosphere around the object.”

It’s certainly not nearly as thick as the Earth’s atmosphere, and is anywhere from five million to ten million times thinner.

In their paper, the researchers suggest that “cryovolcanic activity” — the eruption of water, ammonia or methane instead of molten rock on the surface of icy moons or dwarf planets — or the “recent impact of a small icy object” could help explain the thin atmosphere around 2002 XV93.

In case of the latter, Arimatsu said the atmosphere could dissipate within hundreds of years. In case of the former, such a thin atmosphere could stick around for much longer.

The researchers are now excited to have another chance to observe the intriguing TNO using NASA’s James Webb Space Telescope, which could reveal the presence of other gases, including methane or carbon monoxide.

“That is why future monitoring is so important,” Arimatsu told NBC News. “If the atmosphere fades over the next several years, that would support an impact origin. If it persists, or varies seasonally, that would point more toward ongoing internal gas supply” from cryovolcanic activity.

More on TNOs: Scientists Detect Mysterious Object in Deep Solar System

The post Scientists Detect Atmosphere on Planet-Like Object Beyond Pluto appeared first on Futurism.

🔗 Sumber: futurism.com