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The Decoder

Google files first joint lawsuit with FBI over Chinese AI scam network, OpenAI blocks PRC influence clusters The AI industry's platform trap is starting to look a lot like Microsoft's OpenAI buys Ona to push Codex toward long-running, autonomous coding tasks Jeff Bezos' AI startup Prometheus closes $12 billion round at a $41 billion valuation Free Deezer tool lets users on any streaming service check their playlists for AI music OpenAI vs. Anthropic: A price war over API tokens is brewing Dario Amodei's new essay reads like a Cold War playbook for the AI age Claude Fable 5: Anthropic admits "wrong tradeoff" after invisibly throttling rival AI researchers Google's new open model DiffusionGemma generates text from noise instead of word by word OpenAI's IPO slips as Altman tells staff to expect a public offering "within the next year" Anthropic study shows AI needs hours, not weeks, to build exploits from security patches OpenAI wants its biggest data center yet, and Nvidia would back the bill Claude Fable 5: The first Mythos model is powerful, expensive, and heavily filtered Germany's National Security Council greenights an AI Safety Institute modeled after the UK's AISI Google's NotebookLM now runs its own cloud computer with code execution and agent-based research Anthropic releases Claude Fable 5 and Mythos 5 with major gains in coding and science Google's Gemini 3.5 Live Translate delivers real-time voice translation across 70+ languages SpaceX wants to put data centers in orbit, and Musk says it's no big deal Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers Beijing's $295 billion AI buildout would require 80 percent domestic chips, locking out US suppliers Apple Intelligence gets a second shot with help from Google and Nvidia OpenAI says going public is "a complicated set of tradeoffs" and is unsure about the timing Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators Intel gets a second life as Google and Nvidia explore it as a TSMC backup for AI chips Most companies are flying blind on AI spending Frontier Radar #3: How agentic AI is turning tokens into a business metric Instagram AI chatbot breach may have affected over to 20,000 accounts, Meta discloses Microsoft tightens rules for conflict zones after investigation into Israel's military use of Azure Moonshot AI targets a $30 billion valuation, more than six times its late-2025 worth Deepseek topped Ramp's trending software vendors in June 2026 as US companies chase cheaper AI
OpenAI now says "entirely automating everything is not th...
Matthias Bastian · 2026-06-09 · via The Decoder

OpenAI is backing away from fully autonomous AI research by 2028, now talking about a "tandem" between humans and machines. CEO Sam Altman and chief researcher Jakub Pachocki also call for an international body that could slow frontier development if needed.

Last fall, OpenAI laid out an ambitious goal: by March 2028, the company wanted to build a fully autonomous AI system capable of conducting research on its own.

OpenAI, October 2025

new blog post from CEO Sam Altman and chief researcher Jakub Pachocki strikes a much more cautious tone.

Instead of full automation, the post says, "Our internal belief is that by March of 2028 we may have a significant fraction of our research being done by AI systems in tandem with our own researchers."

Whether this shift has technical or societal reasons is an open question. But Altman and Pachocki clearly position themselves against fully automating human tasks, framing it as a societal concern.

"Entirely automating everything is not the future we want. It would be unfulfilling, and it would be dangerous. […] A key long-term role for people will be deciding what is worth doing."

The more capable AI systems become, the more important the human role gets: setting direction, making tradeoffs, applying judgment.

OpenAI wants an international body that could slow AI development

At the same time, OpenAI argues that "AI doing AI research will become the determining factor of the pace of progress within the next few years." Much like Anthropic did a few days ago, OpenAI is now floating the idea of slowing AI development. Anthropic had called for the option to pause.

Altman and Pachocki propose an international organization to coordinate leading AI efforts and reduce catastrophic risks. It should enable "coordinated action, including slowing frontier development when needed, so societal resilience, safety, and alignment can keep pace."

The demand sits somewhat awkwardly alongside OpenAI's own very ambitious goals. In the same blog post, the company outlines three core goals: "Build an automated AI researcher," "Accelerate the economy," and "Give everyone on Earth a personal AGI."

Altman and Pachocki describe the current moment as the start of OpenAI's third phase. The first phase focused on foundational research. The second built the company into a product business. Now the goal is to make advanced AI "abundant, affordable, safe, useful, and easy enough" for every person and organization to benefit.

"Frontier capability is only part of the job. The bigger task is turning that capability into tools people can actually use to thrive," they write. That thinking lines up with OpenAI's broader strategic shift from model provider to implementation partner, the same logic behind its new DeployCo subsidiary, which sends engineers directly into companies to embed AI into their workflows.

It's also a tacit admission that AI implementation is far harder than just offering a chatbot and that adoption may not move fast enough, with clear enough ROI, to support the revenue growth OpenAI and Anthropic will need in the coming months.

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