Ad
Skip to content

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: OpenAI shifts to usage-based pricing for Codex in ChatGPT business plans

OpenAI is switching to usage-based pricing for Codex in ChatGPT Business and Enterprise. Admins can enable free Codex access across their workspace and pay only for actual usage; no upfront licenses required. Eligible Business customers can also claim up to 500 dollars in promotional credit per workspace as part of a limited-time promotion.

The move is designed to lower the barrier for enterprise adoption, OpenAI says. Coding tools typically spread from individual developers to full teams. "This model gives organizations a simpler way to support that motion inside a managed workspace," the company writes. OpenAI is likely betting that hands-on experience will drive long-term lock-in. It's a direct shot at GitHub Copilot and Cursor, which still charge per seat.

OpenAI says over two million developers use Codex weekly, with Business and Enterprise usage growing sixfold since January. The company's biggest competitor in this space is Anthropic with Claude Code.

OpenAI decides the best way to fight critical AI coverage is to own a newsroom

OpenAI has acquired tech talk show TBPN. The show will supposedly remain editorially independent but report to OpenAI’s communications department. That’s as contradictory as it sounds. So what’s OpenAI really after?

Read full article about: Sakana AI launches "Ultra Deep Research" to automate weeks of strategy work

Japanese AI startup Sakana AI has unveiled "Sakana Marlin," its first product for business customers. The system works autonomously: give it a topic, and it researches on its own for up to eight hours, then delivers detailed reports and presentations. Sakana AI says the tool can produce professional strategy analyses that would normally take human teams several weeks.

Eine Übersichtsansicht eines von der KI generierten Beispiel-Dokuments. Zu sehen sind mehrere hochformatige Textseiten eines Berichts sowie darunterliegende querformatige Präsentationsfolien in japanischer Sprache. Auf dem Deckblatt sind das Logo von Sakana AI, der Name „Sakana Marlin“ sowie das Wasserzeichen „Sample output“ zu erkennen.
Sample output from "Sakana Marlin": after autonomous research, the tool creates text reports and presentation slides on a given topic (here: AI trends in the financial sector). | Image: Sakana AI

Sakana Marlin combines the company's "AI Scientist," designed to resolve contradictions, with its previously introduced "AB-MCTS" method for strategic searches. Multiple AI models work together, and longer thinking time is meant to yield better results, the company says.

The company is looking for beta testers in finance, research, and business consulting. The beta is free, but requires registration (the form is in Japanese). The biggest weakness of automated reports like these is hard-to-spot AI errors, something the startup doesn't address in its announcement.

Read full article about: Microsoft's MAI-Transcribe-1 runs 2.5x faster than its predecessor at $0.36 per audio hour

Microsoft has introduced MAI-Transcribe-1, a speech-to-text model supporting 25 languages that achieves the lowest word error rate of any model tested on the FLEURS benchmark, beating Scribe v2, Whisper-large-V3, GPT-Transcribe, and Gemini 3.1 Flash-Lite. The model is also built to handle tough recording conditions like background noise, poor audio quality, and overlapping speech, Microsoft says.

MAI-Transcribe-1 (green) leads in word error rate on the FLEURS benchmark in most of the 25 languages tested, outperforming Scribe v2, Gemini 3.1 Flash-Lite, Whisper-large-v3, and GPT-Transcribe. | Image: Microsoft

Microsoft is rolling out MAI-Transcribe-1 across Copilot Voice and Microsoft Teams. Developers can try it as a public preview through Microsoft Foundry and the Microsoft AI Playground. The model runs 2.5 times faster than Microsoft's previous Azure Fast offering and costs $0.36 per audio hour. Combined with MAI-Voice-1 and a language model, it can also power voice agents, Microsoft says.

Cohere and Mistral recently released open-source alternatives that perform at a similar level.

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.