MAROKO133 Hot ai: Elon Musk Orders Sweeping Layoffs as xAI Fails to Catch Up Hari Ini

📌 MAROKO133 Hot ai: Elon Musk Orders Sweeping Layoffs as xAI Fails to Catch Up Ter

In a Thursday tweet, Elon Musk said he was looking to rebuild his AI startup xAI “from the foundations up” after admitting it wasn’t “built right first time around.”

The news comes amid a major exodus of cofounders, with a striking majority of them jumping ship over the last year. Amid the resulting leadership vacuum, the Financial Times reported on Friday that Musk had omitted a key detail in his latest missives on his social media platform. According to the paper’s sources, he’s ordered a round of sweeping layoffs at the company after becoming frustrated with a lack of progress on its AI coding software.

Many roles are reportedly being scrutinized. Musk reportedly ordered higher-ups from Tesla and SpaceX, the latter of which xAI was folded into earlier this year, to conduct audits and weed out anybody deemed to be underperforming — likely not what staffers, who were already complaining of burnout, wanted to hear.

The news comes just over a month after Musk announced he had “reorganized” xAI, admitting that it “unfortunately required parting ways with some people.”

The pressure is on. Following SpaceX and xAI’s merger, the space company is looking to go public at a staggering valuation of $1.25 trillion.

But keeping up in the heated AI race is proving far more difficult than Musk may have anticipated, given his decision to rework the entire thing mere months ahead of the biggest stock market listing in history.

Coding, in particular, has become a major focus, with Musk poaching two senior employees from AI coding startup Cursor. According to the FT, staffers have grown concerned that the training data of xAI’s chatbot Grok was lacking, causing it to lag far behind Anthropic’s popular Claude Code and OpenAI’s Codex.

“Grok is currently behind in coding,” Musk said at a conference earlier this week, as quoted by Business Insider. “The reason I was late for this was that I was just in a giant sort of all-hands on coding, going through all the things that need to happen to essentially exceed our competitors on coding, which I think we’ll do.”

Musk’s messaging surrounding the company’s AI product has been opaque. In August, the mercurial CEO announced the company’s latest AI project, “Macrohard,” a tongue-in-cheek jab squarely aimed at competitor Microsoft. Musk also said that he was combining Tesla and xAI’s efforts to develop a “digital Optimus,” a nod to the carmaker’s humanoid robot.

The man who was leading the “Macrohard” effort, former DeepMind researcher Toby Pohlen, left the company just 16 days after being put in charge of the project late last month.

Where that leaves the future of xAI’s coding tool remains to be seen.

Apart from being pushed out by Musk, who’s now trying to reboot the company from scratch, inside sources told the paper that people are quitting because they’re burnt out, an unsurprising development given the CEO’s infamously brutal micromanagement style. Insiders told the FT that the revolving door of talent was destroying morale.

“My next priorities: sleep for more than 8h, write down all the things I’ve learnt (I have a list), and then think about what I want to do next,” Pohlen wrote.

More on xAI: Elon Musk Says He’s Epically Screwed Up at xAI, Is Rebuilding “From the Foundations”

The post Elon Musk Orders Sweeping Layoffs as xAI Fails to Catch Up appeared first on Futurism.

🔗 Sumber: futurism.com

📌 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