MAROKO133 Hot ai: Protestors Outside Anthropic Warn of AI That Keeps Improving Itself Waji

📌 MAROKO133 Breaking ai: Protestors Outside Anthropic Warn of AI That Keeps Improv

Months after a daring hunger strike failed to pause development of Anthropic’s AI Claude, protestors have rallied around the company’s headquarters to call for a complete stop to AI development.

Last weekend, nearly 200 protestors with the organization Stop the AI Race demonstrated in front of Anthropic, demanding the company’s CEO, Dario Amodei, publicly commit to pausing their development of AI. According to FirstPost, protestors included former tech industry workers, researchers, and members of other grassroots organizations like Pause AI and QuitGPT.

“The reason we are pausing AI is because we believe that building AI that can automate AI research, and that can self improve, could be a danger to the human race, especially human extinction,” Michaël Trazzi, an organizer with Stop the AI Race, told local reporters. “It’s not only me and other researchers saying this, it’s the lab CEOs themselves that [say] the risk is real.”

Stop the AI Race rallied around the company’s San Francisco headquarters for a while before marching on Sam Altman’s OpenAI and Elon Musk’s xAI, where they made similar demands.

In a post on social media, Trazzi claimed that it was “the biggest AI safety protest in US history” so far.

One of the protestors involved, Guido Reichstadter, had previously protested outside Anthropic in the aforementioned hunger strike, which ultimately lasted for 30 days. Like Trazzi, Reichstadter’s concerns are existential — an AI system that could one day break containment and usher in unknown horrors on humankind.

On day nine of his hunger strike, Reichstadter told Futurism that frontier AI systems are an “entirely new class of danger.” Indeed, whether Claude is going to take over and start killing us all may be beside the point: in the hands of humans, it’s already picking strike targets for the US military.

“None of these companies have a right to do what they’re doing, which is consciously endangering my life, my family’s life, all of our lives,” Reichstader said. “The correct thing for them to do is stop the global race toward really dangerous AI that we’re all involved in.”

More on Anthropic: Pentagon Refuses to Say If AI Was Used to Select Elementary School as Bombing Target

The post Protestors Outside Anthropic Warn of AI That Keeps Improving Itself appeared first on Futurism.

🔗 Sumber: futurism.com

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

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