GPT-5.4 reviewed scientific literature, generated and ranked research proposals, helped design experiments, analyzed results, and proposed follow-up studies. Human chemists steered the work, selected proposals for testing, and validated the final result.
AI
-
GPT-5.4 and Maria AI improve drug discovery reaction
By
–
GPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result.
— OpenAI (@OpenAI) 17 juin 2026
Paired with https://t.co/gcDaph8b2B’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery. pic.twitter.com/KmyBlHLX8yGPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result. Paired with http://
Molecule.one’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery. -
GitHub COO interviewed on agent-created pull requests surge
By
–
GitHub has a front-row seat to how code is changing now that everyone—and their army of agents—can ship code. In March alone, agents created 17 million pull requests on the platform.
— Dan Shipper 📧 (@danshipper) 17 juin 2026
That’s why I was thrilled @hammer_mt was on hand to interview @github COO @kdaigle at Microsoft… pic.twitter.com/bwMYCgLOW1GitHub has a front-row seat to how code is changing now that everyone—and their army of agents—can ship code. In March alone, agents created 17 million pull requests on the platform. That’s why I was thrilled @hammer_mt was on hand to interview @github COO @kdaigle at Microsoft
-
Altman: AI debate over, powerful systems to reshape economy and science
By
–
Sam Altman made a notable statement at the G7 summit. Altman said that the debate over whether AI is useful is over, arguing that far more powerful AI systems will emerge in the coming years. He also suggested that AI could reshape both the global economy and scientific
-
Scobleizer: First real-time world models demonstrated
By
–
Sorry, totally disagree there. Game engines and robotics didn't use world models until recently. And he certainly was the first to show real time world models.
-
An AI-native email platform integrated with Codex and MCP agents
By
–
An AI native email platform built from the ground up to run entirely from inside Codex, ChatGPT, and any AI agent via MCP.
— Robert Scoble (@Scobleizer) 17 juin 2026
Your agents now have their own email.
And it learns and gets better over time. https://t.co/UPRwAKxEw3An AI-native email platform built from the ground up to run entirely from inside Codex, ChatGPT, and any AI agent via MCP. Your agents now have their own email. And it learns and gets better over time.
-
Massive capability gains from models if you know how
By
–
I'm not sure if it'll last (I go back and forth), but today, there's massive capability gains you can pull out of the models if you know what you're doing.
-
Introduction of On-Call Copilot, new agent model
By
–
Introducing On-Call Copilot – a new agent template in LangSmith Fleet
— LangChain (@LangChain) 17 juin 2026
→ Triages every alert and investigates root cause across your code and traces
→ Manages tickets and routes every incident to the right channels
→ Continuously learns from your runbooks, escalation rules,… pic.twitter.com/5SM2FmJE7LIntroduction of On-Call Copilot – a new agent model in LangSmith Fleet
→ Sorts each alert and investigates root cause across your code and traces
→ Manages tickets and redirects each incident to the right channels
→ Continuously learns from your -
Databricks AI Platform unveils ML engineering, deep learning, and real-time inference advances
By
–
New capabilities across the Databricks AI Platform help ML teams tackle some of the most challenging parts of building production machine learning systems.
— Databricks (@databricks) 17 juin 2026
We're announcing advances in ML engineering, deep learning, and real-time inference:
• Genie Code now comes with upgraded… pic.twitter.com/OusVzJPILTNew capabilities across the Databricks AI Platform help ML teams tackle some of the most challenging parts of building production machine learning systems. We're announcing advances in ML engineering, deep learning, and real-time inference: • Genie Code now comes with upgraded
-
Medical AI Models for End-to-End Care in ER and Outpatient Visits
By
–
Until now, we haven't seen medical AI models intended to provide end-to-end care after presentation to an emergency department or longitudinally via 3 sequential outpatient visits. There's a lot to unpack in 2 new @nature publications today. Summarized in a new post.