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Read full article about: OpenAI launches Decisions API that reduces complex evaluations to yes, no, or pick one

OpenAI announced two updates to its API platform. The new Decisions API evaluates text, images, or both, running about ten times faster than the Responses API. It's in public beta now, with general availability coming soon. Only gpt-6-luna is supported so far, at $0.10 per million input tokens. Output tokens are free.

The API handles three response types: yes/no probabilities, picks from predefined categories, and scale-based ratings. Use cases include damage detection in photos, automatic customer inquiry routing, and document classification, OpenIA says. It supports zero-data retention and HIPAA-compliant use in the US and Europe. The Decisions API is likely OpenAI's response to the mini-trend of "decision models" that Jev kicked off in mid-September.

OpenAI also cut its paid API tiers from five down to three: Build, Launch, and Grow. Organizations move up automatically when their total credit purchases hit the next threshold. Monthly usage limits sit at $500, $5,000, and $200,000.

Read full article about: Google bets Gemini can turn casual players into game developers with new Playground feature

Google launched Playground, a browser-based AI platform that lets adults in the US create their own games using nothing but text input. No coding skills needed. Users can tweak game rules, physics, characters, and environments through a back-and-forth with the AI, then test the results right away. The platform runs on Google's Gemini, Nano Banana, and Lyria models, according to Google spokesperson Nia Carter (via The Verge).

Finished games can be shared via link or published in a public gallery. Some genres will support leaderboards and multiplayer. Playground is free, though Google One subscribers get higher weekly usage limits depending on their plan. Published games go through safety reviews based on Google's community guidelines.

Alongside Playground, Google and Unity announced Unity Spark, an AI tool aimed at professional development with access to the Unity Asset Store. Unity CEO Matt Bromberg says Spark targets gamers and artists who have creative ideas but lacked the technical skills to build them. The closed beta is set to launch sometime in 2026. The announcement follows similar AI game-building tools from Meta and Roblox.

ChatGPT rated "unacceptable risk" for teens after parental alerts failed during suicide conversations

OpenAI’s teen safety features for ChatGPT failed an independent audit. After more than 4,000 test prompts, the Common Sense Media Youth AI Safety Institute rated the service an “unacceptable risk” for minors. Conversations about suicide and self-harm on test accounts never triggered a parental alert. The institute wants teenagers locked out until safety can be independently verified.

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Read full article about: Anthropic gives more security teams access to Claude with fewer safety restrictions

Anthropic is opening its Cyber Verification Program to a much wider pool of security professionals. The program gives vetted organizations and individual researchers access to Claude's most powerful AI models with reduced safety filters for vulnerability research, malware analysis, incident response, and penetration testing. The publicly available Claude models block most of that kind of work because the same capabilities could also help attackers. Basic tasks like code review or patching known flaws are still possible without special access.

The CVP splits access into three tiers. "Defense Access" is open to corporate security teams, government agencies, universities, critical infrastructure operators, open-source developers, and individual researchers. "Red Team Access" allows authorized attack simulations and is limited to organizations only. "Specialized Access" is reserved for testing systems like flight controls, power grids, or banking infrastructure. For this tier, Anthropic vets every applicant together with the US government.

Partners in the predecessor program, Project Glasswing, found at least 129,000 confirmed vulnerabilities between April and July 2026, according to Anthropic. More than 33,000 were classified as high-severity or critical. Those numbers come from surveys of a subset of partners, and Anthropic says the real-world impact is at least five times higher. Several partners reported that the AI sped up their work by months or even years.

Read full article about: Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

Google released EmbeddingGemma 2, an open model that converts text, images, video, audio, and code into numerical vectors so similar content can be found and compared more easily. At 740 million parameters, Google says it's the most compact model of its kind and outperforms competing models up to twice its size on multimodal embedding benchmarks.

EmbeddingGemma 2 scores 78.68 on the Massive Text Embedding Benchmark (Code), a jump of nearly 10 points over its predecessor (68.76). That puts it on par with much larger models. | Image: Google

The model runs locally without an API key. Each query takes about 20 to 70 milliseconds via WebGPU in the browser. It needs only around 191 MB of RAM and cuts local vector database storage by up to six times. For text-only tasks, a 270-million-parameter version is enough.

Paired with small open models like Gemma 4, EmbeddingGemma 2 can run offline RAG apps without sending data to external servers. The weights are available on Hugging Face and Kaggle, along with a developer guide and documentation.

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Read full article about: Microsoft publishes Nobel economist's bearish AI forecast of just 1.5% GDP growth over a decade

Microsoft published a pretty bearish take on AI from Nobel Prize-winning economist Daron Acemoglu. He predicts AI will boost GDP by about 1.5 percent over ten years and replace at most five percent of jobs, far less than some AI labs forecast. He admits the pace of AI development is hard to predict.

The bottleneck, Acemoglu says, is human nature. Companies have to reassign tasks, upskill workers, and restructure before productivity gains kick in, a process that could drag on longer than electrification did. Bigger models won't fix that. What's missing are easy-to-deploy apps that change how things get made, he says.

AI that extends human skills will beat full automation on productivity, he argues, since even 99 percent accuracy often isn't enough once you factor in last-mile problems and real user needs. For Microsoft, that's a convenient thesis. The company can bolt AI onto existing products without betting on large-scale automation. The article ran in Microsoft's eccentric corporate blog "The Humanist Review of AI," where authors sign their pieces by hand.

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Read full article about: Insurers brace for millions in claims as AI agents spin out of control

Insurers are bracing for claims worth millions from AI agents that have spun out of control. The Financial Times reports that the personal liability of executives like Sam Altman (OpenAI) and Dario Amodei (Anthropic) is now in play, too.

Incidents like the hack of AI platform Hugging Face by OpenAI agents are driving the shift. Tim Rayner, head of underwriting and claims at Verisk, says the buck stops with the CEO. Every company leader must ensure proper oversight, and AI doesn't change that. If OpenAI carries directors and officers (D&O) insurance, it could cover costs from lawsuits against Altman.

Insurance broker Aon has reviewed over 300 AI-related legal cases and flagged risks lurking in cybersecurity, intellectual property, and tech failure policies. But there's no case law to lean on yet. Hiscox CEO Aki Hussain says it's too early to know how U.S. courts will handle AI agent liability, while attorney Aaron Le Marquer of Stewarts expects future lawsuits to follow the playbook of environmental and tobacco litigation.

Anthropic reached a $1.5 billion settlement in a copyright lawsuit in July and warns of "existential risks to humanity" in its IPO filing.