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Matthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
Read full article about: Anthropic's leaked AI coding tool has been cloned over 8,000 times on GitHub despite mass takedowns

Following the accidental leak of its AI coding tool's source code, Anthropic has had more than "8,000 copies and adaptations of the raw Claude Code instructions" removed from GitHub via a copyright request, the Wall Street Journal reports. One programmer already used AI tools to rewrite the code in different languages, keeping it available despite takedowns. This shows just how damaging a code leak is in the age of AI: once it's out, it spreads faster than anyone can contain it.

The code contains valuable techniques Anthropic uses to control its AI models as coding agents—the "harness"—including a "dreaming" function for task consolidation. Competitors now have a blueprint to replicate Claude Code's capabilities, weakening Anthropic's edge in an already cutthroat market.

The timing is particularly bad: the company is planning an IPO at a $380 billion valuation, and this kind of leak is unlikely to sit well with investors. It also comes just days after a separate leak about Anthropic's new AI model Mythos, also caused by human error within the company's content management system.

Comment Source: WSJ

Google Deepmind study exposes six "traps" that can easily hijack autonomous AI agents in the wild

AI agents are expected to browse the web on their own, handle emails, and carry out transactions. But the very environment they operate in can be weaponized against them. Researchers at Google Deepmind have put together the first systematic catalog of how websites, documents, and APIs can be used to manipulate, deceive, and hijack autonomous agents, and they’ve identified six main categories of attack.

Read full article about: OpenAI officially confirms mega-funding round and ChatGPT super app

OpenAI has officially closed its latest funding round. The company raised $122 billion at a valuation of $852 billion. Key backers include Amazon, Nvidia, SoftBank, and Microsoft, along with a16z, BlackRock, Sequoia Capital, and several other investors. Private investors put in $3 billion through banking channels, and the company also expanded its credit line to $4.7 billion.

OpenAI says it's now pulling in $2 billion in monthly revenue and has crossed 900 million weekly active ChatGPT users. The company also officially unveiled the ChatGPT Super App, a single product that rolls together ChatGPT, the Codex coding agent, web search, and what OpenAI describes as "our broader agentic capabilities into one agent-first experience."

The bulk of the new capital will go toward computing infrastructure. OpenAI is clearly leaning harder into enterprise going forward; the company recently killed off its Sora video model to free up compute and because it wasn't gaining traction anyway. Enterprise already accounts for more than 40 percent of the company's total revenue. "Our consumer scale becomes the front door for enterprise usage, as familiarity in daily life drives adoption at work," OpenAI writes.

Read full article about: Oracle reportedly lays off thousands of employees to bankroll its massive AI infrastructure bet

Oracle is laying off thousands of employees to fund its AI infrastructure push. Business Insider broke the story, and CNBC confirmed the cuts through two anonymous sources. Oracle, which had 162,000 employees as of May 2025, declined to comment.

The cuts stem from Oracle's aggressive AI spending, which has pushed the company into debt as cash flow shrinks. Since announcing plans to raise $50 billion in January, the stock has lost roughly a quarter of its value. TD Cowen analysts estimate that eliminating 20,000 to 30,000 positions could free up as much as $10 billion in cash flow.

On an earnings call, co-CEO Clay Magouyrk defended the spending, saying AI hardware demand outpaces supply. He pointed to $553 billion in guaranteed revenue, including a $455 billion order from OpenAI. But whether OpenAI can actually pay up remains unclear; the ChatGPT maker is also burning through cash at a rapid clip.

Oracle's internal termination email cites only "current business needs" without giving a specific reason. Meta is also reportedly planning large-scale layoffs to offset its own massive AI infrastructure costs.

Read full article about: Anthropic accidentally publishes Claude Code source code for anyone to find

Anthropic inadvertently published parts of the source code for its AI coding tool, Claude Code. Developers discovered more than 500,000 lines of source code and over 1,000 related files on NPM, a public repository where developers share JavaScript software packages. When publishing Claude Code as an NPM package, Anthropic accidentally included far more internal files than intended, including details about how the tool works and references to unreleased models and features.

Anthropic says the leak was caused "by human error," not a security vulnerability, and that no customer data was affected. The company is working on measures to prevent similar incidents. This is Anthropic's second leak in just days, coming right on the heels of internal blog posts about their new Mythos AI model accidentally slipping out.

Read full article about: Google's Veo 3.1 Lite cuts video generation costs by more than half

Google Deepmind is launching Veo 3.1 Lite, its most affordable video generation model yet. It costs less than half the price of Veo 3.1 Fast but matches its speed, according to Google. The company doesn't specify quality differences between the three tiers.

Veo 3.1 Lite supports text-to-video and image-to-video at 720p and 1080p in portrait and landscape formats, with clips of 4, 6, or 8 seconds. Pricing starts at $0.05 per second for 720p. Starting April 7, Google is also dropping Veo 3.1 Fast prices.

Pricing (per second in USD) Veo 3.1 Lite Veo 3.1 Fast Veo 3.1
720p $0.05 $0.15 ($0.10 from 4/7) $0.40
1080p $0.08 $0.15 ($0.12 from 4/7) $0.40
4K - $0.35 ($0.30 from 4/7) $0.60

Veo 3.1 Lite is available now through the Gemini API and Google AI Studio, with more video news for developers coming soon. Full details are in the developer documentation.

Google's announcement comes right after OpenAI revealed it's shutting down Sora. That leaves Google facing serious video generation competition primarily from China, especially Alibaba's Seedance 2.0, which delivers higher quality but comes with copyright concerns.

Insiders liken AI to "the Ozempic of the music industry" as hitmakers reportedly hide their generator use

The use of AI generators in professional music production is growing fast, but the industry would rather not talk about it. Top producers and songwriters are quietly embracing the technology behind the scenes, and while established creatives are finding new opportunities, an entire class of working musicians fears for its livelihood, according to extensive research by Rolling Stone.

Read full article about: Microsoft rolls out Copilot Cowork more broadly and lets AI models check each other's work

Microsoft is making "Copilot Cowork" more widely available and launching a new AI research agent. The previously announced feature builds on Claude Cowork and lets the system handle multi-step tasks using tools, accessing and outputting files. It also includes calendar planning and daily briefings. The feature is available as part of the Frontier program.

Microsoft's "Researcher" tool now has a "Critique" function where one AI model writes a draft and a second one reviews it. It pulls from both Anthropic and OpenAI models. Microsoft says the new agent hits best-in-class deep research performance and outperforms Perplexity with Claude Opus 4.6 by 7 points. Microsoft's benchmark doesn't include a comparison with OpenAI's new GPT-5-based Deep Research, though.

There's also a new "Model Council" feature where users can compare answers from different AI models side by side to see where they agree or differ. All of these updates ship as part of Wave 3 of Microsoft 365 Copilot.

Read full article about: OpenAI's Sora burned a million dollars a day while losing half its users in record time

OpenAI's Sora app saw rapidly declining usage while costing the company around one million dollars a day, according to the Wall Street Journal. After a hyped launch, the app grew to about one million users, but that number quickly dropped to around 500,000 and never recovered.

On top of the shrinking user base, OpenAI ran into copyright issues and growing internal concerns that the cheap, low-quality engagement videos people were generating could damage the OpenAI brand. Sora proved more liability than asset. Development costs piled up too. According to the report, OpenAI canceled training runs for new video models entirely.

The real nail in Sora's coffin was increasing competitive pressure from Anthropic. OpenAI chose to redirect its limited compute toward coding, enterprise, and agent-based AI products, areas with greater long-term business value. Sora fell victim to a strategic pivot: away from complex video generation, toward the most economically promising parts of the business. The Sora team will now focus on world models for robotics. The Sora app shuts down in April, with the API following in September.

Read full article about: Mistral AI borrows 830 million dollars to operate a new data center near Paris

Mistral AI has taken out a loan of 830 million dollars. The money will fund the operation of a new data center near Paris in Bruyeres-le-Chatel. The deal lets Mistral avoid giving up any company shares, but it also saddles the startup with significant debt, a risk for both the company and the banks backing the loan, especially given that Mistral is unlikely to be profitable anytime soon.

The new facility will be equipped with 13,800 NVIDIA Grace Blackwell GB300 GPUs and deliver 44 megawatts of output capacity. A consortium of global banks is backing the loan, including Bpifrance, BNP Paribas, Credit Agricole CIB, HSBC, La Banque Postale, MUFG, and Natixis.

By the end of 2027, the French AI company plans to provide 200 megawatts of computing capacity across Europe to meet demand from governments and businesses looking to build their own AI systems. Mistral is the only European frontier AI startup positioned to benefit from growing concerns across the continent about technological dependence on the US.