36-month history · GLOBAL
34 monthly pointsRecent catalysts
Last 90 days · publisher posts mentioning “DeepL”Previewing GPT-5.6 Sol: a next-generation model
We're beginning a limited preview of the GPT‑5.6 series: Sol, our flagship model; Terra, a balanced model for everyday work; and Luna, a fast and affordable model. Terra has competitive performance to GPT‑5.5 while being 2x cheaper and Luna brings strong capability at our lowest cost. GPT‑5.6 Sol launches with our most
Inside Microsoft’s two-decade push to cut water intensity while scaling for growth
As demand for cloud and AI services continues to grow, datacenters are becoming more essential than ever. Communities also want to better understand how this infrastructure affects local resources, particularly water. At Microsoft, water stewardship has been a priority since our first datacenter builds in the early 200
How Omio is building the future of conversational travel
How Omio is building the future of conversational travel From AI-powered trip planning to company-wide transformation, Omio is working with OpenAI to reinvent how travel is discovered, booked and delivered. 3000+ Transportation providers connected through AI-powered travel experiences 47 Countries covered across Omio’s
Closing the loop: Evaluating and improving Replit Agent at scale
Most Replit Agent users start with nothing more than an idea. They describe the goal in natural language — without a repo, test suite, or chosen framework — and expect the agent to turn it into a functioning app. The result might be a website, slide deck, mobile app, several connected artifacts, or something else entir
How a simple code change reduced CPU usage by 97%
Routine infrastructure work does not usually make for a dramatic story. But during a migration of one of Duolingo’s production services from Python 3.9 + Alpine to Python 3.12 + Debian Bookworm, we accidentally uncovered a hidden inefficiency that had been wasting CPU resources for years. This is the story of how break
Our Co Founder And Ceo Urges G7 Leaders To Back Open Innovation
Our co-founder and CEO, Robin Rombach, sat down with President Macron, President Trump, Chancellor Merz, President von der Leyen, and other world leaders at the G7 to stress the vital role of open innovation in AI. With openness under pressure around the world, Robin urged governments and industry to make open and resp
From data to decisions: how LSEG is scaling trusted AI
~2 weeks product release cycles, from ~6 months to ~2 weeks ~4 weeks from customer request to production deployment London Stock Exchange Group (LSEG)(opens in a new window) sits at the heart of financial markets. A leading global financial markets infrastructure and data provider, it supports more than 40,000 customer
Measuring the impact of learning with AI in Sierra Leone and beyond
The results from this pre-registered trial suggest that AI can be a powerful pedagogical partner — not by replacing teachers, but by augmenting their reach. This study is part of our ongoing effort to build a global evidence base for the impact of AI on teaching and learning. Beyond the answer engine: protecting critic
Thousand Token Wood: shipping a multi-agent economy on a 3B model
Try it first: the Space, and the open agent traces. I built Thousand Token Wood for the Build Small Hackathon. It is a tiny economy: five woodland creatures, each its own agent on Qwen2.5-3B, trade five goods for pebbles, gossip, hoard, and panic. You poke the wood and watch bubbles, crashes, and a widening wealth gap
EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios
Voice agent failures are often highly domain-specific. A system that flawlessly processes alphanumeric confirmation codes in flight re-booking transactions might stumble when handling complex policies in HR systems. Different domains test an agent's ability to adapt to different vocabulary, workflow complexities and us