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.
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GPT-5.4 and Maria AI improve drug discovery reaction
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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
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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
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Massive capability gains from models if you know how
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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.
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Introduction of On-Call Copilot, new agent model
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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 -
Nitrosend revolutionizes email creation with AI
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Drag and drop email builders have been the standard for 15 years and nobody questioned it until now.
— AI Highlight (@AIHighlight) 17 juin 2026
Nitrosend plugs directly into Codex and ChatGPT via MCP so you describe your email in plain English and it comes out pixel-perfect, on-brand, and ready to send.
The builder era… https://t.co/4bPXi1bR9gDrag-and-drop email builders have been the norm for 15 years and no one has questioned it until now. Nitrosend plugs directly into Codex and ChatGPT via MCP, so you describe your email in plain English and it outputs the result.
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Tavus: a collaborative avatar worthy of Star Trek
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I've been working with Tavus for a while now, but this is simply amazing.
— Chubby♨️ (@kimmonismus) 17 juin 2026
I'm serious, it's like science fiction. An avatar that I can collaborate with on the PC feels exactly like the future from Star Trek, just as I've always imagined it. It's fantastic.
Computer use + voice… https://t.co/C4rcQRj67FI have been working with Tavus for a while now, but it's simply incredible. I'm serious, it's like science fiction. An avatar with which I can collaborate on the computer looks exactly like the future of Star Trek, as I have
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ABC-130k dataset on Hugging Face, massive and cool
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Very cool and massive dataset on @huggingface of course: https://huggingface.co/datasets/XDOF/ABC-130k … !
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RemoteGraph for deployment interaction with agents via A2A and MCP
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✅ RemoteGraph for deployment ↔ deployment interaction
— LangChain (@LangChain) 17 juin 2026
✅A2A Protocol support out of the box
✅ Interact with your agent via MCP Protocol@VictorMoreira16 on Agent Interoperability in Managed Deep Agentshttps://t.co/wiQVO5luru pic.twitter.com/z8Gwco88ArRemoteGraph for interaction deployment deployment A2A protocol support out of the box Interact with your agent via the MCP protocol @VictorMoreira16 on agent interoperability in managed deep agents https://
langchain.com/blog/introduci
ng-managed-deep-agents
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Agent Bricks helps developers build agents, not infrastructure
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“Team are stuck building infrastructure, not agents.” @kuhlenhuth
, Director of PM at Databricks, walks through how Agent Bricks helps developers get unstuck so they can focus on building thousands of agents.