MAROKO133 Eksklusif ai: Project Glasswing unites Apple, Google, Anthropic to secure system

📌 MAROKO133 Breaking ai: Project Glasswing unites Apple, Google, Anthropic to secu

A coalition of major technology firms has launched a new initiative to confront a rapidly escalating cybersecurity threat driven by advanced artificial intelligence.

The effort, called Project Glasswing, brings together companies including Amazon Web Services, Anthropic, Apple, Google, Microsoft, NVIDIA, and others.

The group aims to secure critical software systems as AI models begin to outperform most humans in identifying and exploiting vulnerabilities.

The announcement follows internal testing of a new Anthropic model, Claude Mythos Preview, which demonstrated the ability to uncover thousands of serious software flaws across widely used systems.

AI reshapes cyber battlefield

Anthropic and its partners say the model marks a turning point in cybersecurity.

Claude Mythos Preview has already identified high-severity vulnerabilities in major operating systems and web browsers.

“Claude Mythos2 Preview is a general-purpose, unreleased frontier model that reveals a stark fact: AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities.”

The companies warn that such capabilities could soon spread beyond controlled environments.

That shift could lower the barrier for cyberattacks and increase their scale and sophistication.

“Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely.”

The stakes are significant. Cybercrime already costs the global economy hundreds of billions of dollars annually.

Attacks on hospitals, infrastructure, and government systems continue to rise.

Project Glasswing will use AI offensively, but for defense.

Participating organizations will deploy the model to scan, test, and secure their systems.

“Project Glasswing is an urgent attempt to put these capabilities to work for defensive purposes.”

The initiative includes more than 40 additional organizations that maintain critical infrastructure and open-source software.

Anthropic has committed up to $100 million in usage credits to support the effort.

The work will focus on vulnerability detection, penetration testing, endpoint security, and software hardening.

Companies will also share findings to improve industry-wide defenses.

“No one organization can solve these cybersecurity problems alone: frontier AI developers, other software companies, security researchers, open-source maintainers, and governments across the world all have essential roles to play.”

Race against emerging threats

The project reflects growing concern that AI could tilt the balance toward attackers if defenses do not evolve quickly.

“Frontier AI capabilities are likely to advance substantially over just the next few months. For cyber defenders to come out ahead, we need to act now.”

Anthropic plans to release findings within 90 days.

The report will detail vulnerabilities fixed and lessons learned where disclosure is possible.

The initiative also includes funding for open-source security groups and collaboration with government agencies.

Officials in the United States have already engaged with Anthropic on the model’s implications.

Looking ahead, the partners suggest the need for broader coordination.

They envision a potential independent body to guide long-term cybersecurity standards in the AI era.

“Today’s announcement is the beginning of a longer-term effort. To be successful, it will require broad involvement from across the technology industry and beyond.”

🔗 Sumber: interestingengineering.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