📌 TOPINDIATOURS Breaking ai: OpenAI eyes global domination with $110B Amazon and N

OpenAI has raised $110 billion in new funding at a $730 billion pre-money valuation, marking one of the largest capital raises in the technology sector.

The round includes $30 billion from SoftBank, $30 billion from NVIDIA, and $50 billion from Amazon. Additional investors may join as the round progresses.

The company also signed a multi-year strategic partnership with Amazon and secured next-generation inference capacity with NVIDIA.

OpenAI says the funding will expand infrastructure, deepen global distribution, and strengthen its balance sheet as AI demand accelerates.

Massive funding round

Demand for AI tools continues to surge across consumers, developers, and enterprises. OpenAI says meeting that demand requires three things: compute, distribution, and capital. This round aims to secure all three at scale.

The growth shows in its products. Codex now serves 1.6 million weekly users, more than triple the number at the start of the year.

Developers use the system to build and ship software that once required full engineering teams.

More than 9 million paying business users rely on ChatGPT for work.

Startups, enterprises, and governments use the OpenAI platform to redesign products and services.

Many teams start with individual productivity tools, then deploy AI across engineering, support, finance, sales, and operations.

ChatGPT remains the company’s flagship consumer product.

It now reaches more than 900 million weekly active users and counts over 50 million subscribers.

OpenAI says January and February are on track to become the largest months for new subscribers in its history.

As usage increases, the company says performance improves.

Users report faster responses, higher reliability, and more consistent outputs.

Amazon and NVIDIA deals

OpenAI and Amazon announced a multi-year strategic partnership to accelerate AI innovation for enterprises, startups, and consumers.

The agreement strengthens distribution and enterprise reach.

OpenAI also expanded its long-standing collaboration with NVIDIA.

The company will use 3 gigawatts of dedicated inference capacity and 2 gigawatts of training capacity on NVIDIA’s Vera Rubin systems.

These systems build on Hopper and Blackwell platforms already deployed across Microsoft, Oracle Cloud Infrastructure, and CoreWeave.

The added compute will support training and deploying frontier models at global scale.

“We’re pushing the frontier across infrastructure, research, and products to make AI more capable, reliable, and broadly useful,” said Sam Altman, co-founder and CEO of OpenAI.

He framed the partnerships as long-term collaborations aimed at scaling AI systems globally.

“SoftBank, NVIDIA, and Amazon are long-term partners who share our ambition to turn real scientific progress into systems that deliver meaningful benefits for people at global scale.”

OpenAI says the new valuation also increases the value of the OpenAI Foundation’s stake in OpenAI Group to more than $180 billion.

That expansion strengthens one of the most well-resourced nonprofits in history and increases its capacity to fund philanthropy in areas such as health breakthroughs and AI resilience.

The company now positions itself for a new phase. Frontier AI is moving from research labs into everyday use at global scale.

OpenAI argues that leadership will depend on scaling infrastructure quickly and converting that capacity into products people depend on daily.

🔗 Sumber: interestingengineering.com

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

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