Now in beta: Notion as code.
Define an entire workspace in TypeScript: teamspaces, databases, custom agents, all of it… then deploy it through the API.
Build workspaces with coding agents, version-control your setup in git, and reproduce the same setup anywhere you need it.
@Shpigford@pradeepcep You can to semantic categorisation on the query. Like clearly here user want to search particular brand or give an option to explore more options
Introducing Ship OS: The agent-native way to ship software.
Run your entire product development cycle in Notion, from customer feedback to a merged PR.
Agents handle the triaging, routing, and summarizing. Your team handles the judgment calls.
Set up Ship OS → https://t.co/z8OdLcriGT
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work.
https://t.co/OoM83SyISN
@Jojo_le_poisson@DrScratch C'est presque faux : pour 1 kWh d'énergie consommée, elle transfère 3 kWh de chaleur. Ainsi, seule une part de 30 % provient de ce que vous avez appelé « dehors de la ville ».
Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.
According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.
By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.
Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.
Learn more below ⬇️
https://t.co/7WanoPNKTR
Today we introduce a new vectorized dataset for mapping fine-scale ecological features, such as hedgerows, that often go undetected by standard satellites. This precision provides a new roadmap for addressing climate & biodiversity challenges without compromising food security. More: https://t.co/NRU3hrqvrd
@mervenoyann Or there is no competition and it's just more viable business model to be the only one in the EU.
As for sovereignty, it comes with capabilities to compete and develop it's own critical technologies. So far no Mythos-like capabilities for cyberware.
While the U.S. government cites national security to regulate AI, Mistral AI is preparing to raise €3 billion to build a sovereign European alternative.
The company is also hiring aggressively all over Europe, with more than 270 open positions on LinkedIn.
Take your content global, already!
The Language Swap skill via Pika MCP swaps the language you’re speaking in any video, making it look and sound like you speak fluent…anything.
So Europe couldn’t get Mythos, Mistral said it would build its own version, and then suddenly Anthropic changed its mind.
they simply don’t want a European competitor to emerge.