One of the biggest challenges Apple admins face today is managing AI use across apps, services, and more. Addigy is…
Cooley built GO Public with ChatGPT Work to bring intelligence to the IPO process, helping lawyers surface issues earlier and focus judgment where it matters most.
From putting nuclear reactors on barges to grading how well AI models can control robots, this month’s crop of interesting startup deals takes AI and other emerging technologies well beyond the conventional software stack.
Google Home MCP opens the smart home to every AI agent; Android 17 QPR1 and One UI 9 land the same week; Trash: the 39 toll booth for your light bulbs.
OpenAI can disclose misalignment before fixes exist. Its 6 initial reports include fabricated data and leaked API keys.
Google Research has introduced Retrieve-for-Train (R4T), a framework for search that returns coherent, diverse result sets. It trains a fan-out language model with RL once, using groundedness, diversity, and alignment rewards.
Nunchux AI has released VC-Attention, a training-free low-bit attention kernel built for video Diffusion Transformers (DiTs). It targets 2 problems at once: value quantization error and a slow softmax stage.
Federal judge Mark Pittman wants details on any agreement that may have led Elon Musk’s companies to drop their antitrust…
Paper2Agent, published in Nature, converts papers into validated MCP tools, scoring 91.2% on 300 questions across 74 papers.
GLiFormer Large scores 91.10 F1 on nested JSON, near GPT-5.6-luna’s 91.96, while grounding every value in source spans.
Google today announced “Home MCP” to let your personal AI agent interact with your smart home devices via the Model…
Today Apple released the first iOS 27.2 beta, a surprising move since there’s been no 27.1 release. And joining the…
Google Home is getting an Model Context Protocol (MCP) connector, but only limited users get to try it first.
Anthropic announced today that Claude Cowork is being merged with chat. This means Claude will drop from three to two…
System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue.
Apple is working on plans to make enterprise servers powered by M8 Ultra chips, according to a new report. The…
AI factories are the infrastructure of the intelligence era. Scaling them responsibly will depend as much on innovation across the grid as inside the data center.
The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it.
More AI, more features, and more monthly bills, brought to you by Meta One.
Prior Labs released TabPFN-3.5, a tabular foundation model pretrained only on synthetic data that beats Otto’s winning solution.
Nums AI has released Causilo, a pretrained tabular foundation model for classification and regression with a scikit-learn interface. It posts the top TabArena Elo among single models, ahead of Google’s TabFM and LG’s EXAONE Tabular.
Google today announced Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking as its “most advanced live dialogue models yet.”
Google has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, its most advanced live dialogue models to date. The models execute tools and API calls in the background while the conversation keeps flowing, process live visual inputs, and switch between 97 languages mid conversation.
Listen to the session or watch below Employees at the world’s leading AI labs are saying there’s a real possibility that advanced AI could destroy humanity. Are they right? Or is this more scaremongering and hype?
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