📌 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…
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🔗 Sumber: venturebeat.com
📌 MAROKO133 Breaking ai: Earth Now Flying Through a Debris Field, Paper Finds Edis
An eagle-eyed astronomer has discovered that an elusive asteroid is apparently shedding hundreds of fragments — and our planet is flying through the ensuing debris field, making for a spectacular show of shooting stars when these small bits of cosmic metal and rock hit Earth’s atmosphere.
NASA postdoctoral fellow Patrick Shober published his findings in a paper last month in The Astrophysical Journal, which came about from analyzing reams of data from observatories in California, Canada, Japan, and Europe.
As Shober wrote in an essay about his research for The Conversation, he’s working to better understand asteroids, particularly ones that are too small and elusive to detect using typical telescopes — and how they cause meteors, which are bits of rock or dust that heat and light up when they strike our planet’s atmosphere.
Many meteors originate from comets, breaking off as these celestial bodies approach the Sun, heating up and sprouting tails of dust and gas; this debris can fall into our atmosphere, manifesting as brilliant shooting stars.
Asteroids also shed debris and cause meteors — like the asteroid 3200 Phaethon, which measures at 3.6 miles in diameter and is the source of the awe-inspiring annual Geminids meteor shower that occurs in December.
However, these objects are large enough to be easily found with a telescope, and Shober wanted to find clues about smaller asteroids that can’t be picked up with available instruments. He examined a sample of 235,271 meteors and fireballs, and used computational tools to see if the samples contained any meteors that seem to group together or had similar characteristics, suggesting they came from the same source.
From this work, he found the cluster of 282 meteors that must be coming from a small asteroid that’s breaking up as it approaches the Sun — a cosmic junkyard that our planet now seems to be journeying through.
“Each meteor shower we observe occurs when Earth passes through one of these debris streams,” he wrote in The Conversation. “So if astronomers can detect meteor showers, they can also be used to find active objects in space.”
More on asteroids: Asteroid Behaving Strangely
The post Earth Now Flying Through a Debris Field, Paper Finds appeared first on Futurism.
🔗 Sumber: futurism.com
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