Berlin yesterday. Paris tomorrow. London next week 🇩🇪🇫🇷🇬🇧
Had a lot of fun demoing with our Applied AI Engineering crew and getting into what people are building.
We’ll be speaking and demoing in Paris Oct 28 and London Nov 3. Come find us if you’re joining!
@aloglute @wulfie_bain_ @HennersBro98
Philip retweeted
GPT-6.1 Terra is now available in Strawberry 1.0.
It feels amazing.
Fast. Smart. Cheap.
Try it now.
Philip retweeted
We’ve been trying out OpenAI’s Decisions API at Lovable and really like what we’re seeing.
xitter.cf/OpenAIDevs/status/2113…
Since the beta, we’ve added new capabilities to the Decisions API so you can now use:
• Native GPT-Live integration so voice apps can react as people speak.
• Prompt caching to help lower costs when reusing context.
• Native JSON inputs so you can pass structured app data directly.
• Images in individual question instructions so you can compare multiple images against a shared reference.
• Up to 400 questions per request so you can make twice as many decisions in a single call.
openai.com/index/decisions-a…
Philip retweeted
Excited to kick-off our DevDay Exchange in Berlin & Germany is cooking with Codex!! 🇩🇪
- weekly active users are up 20× since January
- nearly 70% use the desktop app
- 1 in 5 desktop users use skills for docs, slides and spreadsheets
and Germany is now top 5 globally for active API developers.
kudos to all of our community members and ambassadors for all their support and love.
come find me after my talk and let’s hang!! 🚀
Philip retweeted
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
🤖 Made with AI
Philip retweeted
AHHHH YES I LOVE YOU OPENAI
QUICK @emilahlback run the benchmarks on real enterprise tasks!!
Philip retweeted
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing-ou…
"Sometimes we're not strong enough to do it for ourselves, but we can play that role for others."
Hitting close to home
Philip retweeted
Hiring in Singapore 🇸🇬 for our Applied AI for Startups team at @OpenAI
Come join a team of ex-founder/CTOs, MLEs, Research Eng's, DSs. We work with frontier startups, and closely with Product & Research.
Obsessed with startups, high agency, & technical? Apply or reach out
Philip retweeted
Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic.
These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works.
We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next.
openai.com/index/low-resourc…