From brainstorming to execution, AI will become a standard teammate, enhancing efficiency and productivity across industries. The future of work is almost here! DMs and waitlist open

Showcasing our work on regulated flows this morning at the @TheFCA - great to be working with clients like using agents to help business critical teams to govern, and improve the intelligibility of regulated and legal communications.

Come work with us 👀 . If you've got strong opinions on what the problems we need to solve to reach superhuman task planning and execution (or even better, strong opinions on what you want to try!), apply on our careers page. Great chance to work on what is in my experience one.

RT @s_albrecht: Internship opportunity!.Work with the ML team at @DeepFlowAI London to build LLM agentic systems for multi-agent collaborat….

🚨Internship🚨: ML Engineer & Research. @DeepFlowAI London (LLMs, Agentic Systems, Multi-Agent Collaboration) — We are looking for a highly motivated intern to join our ML team led by Dr. Stefano Albrecht (Director of AI at DeepFlow). Apply here:

A very warm welcome to Stefano. LFG 🚀 7/7.

⚡️ Why Stefano’s excited about DeepFlow: ."DeepFlow is heads down on the ambitious vision of building next-generation multi-agent workflows to manage and execute complex business operations. This involves cutting-edge research in high-capacity AI foundation models, reinforcement.

Chaired last week's prestigious international RLDM conference in Dublin on reinforcement learning and decision making, convening elite global researchers in the space. 5/7.

Developed autonomous AI systems with leading industry partners, incl. Five AI, across logistics operations, autonomous driving, and multi-robot warehouses. 4/7.

Co-authored the definitive, world’s 1st textbook on multi-agent reinforcement learning (MARL), published by MIT Press - available at 3/7.

🏆 Stefano previously: . Led the forefront of reinforcement learning and multi-agent systems, running the Autonomous Agents Research Group at the University of Edinburgh 2/7.

Delighted to welcome Dr. Stefano Albrecht to DeepFlow as our Director of AI!. Stefano will be leading DeepFlow’s AI function and driving original breakthroughs in multi-agent management systems, while driving our ML staff. 1/7

Professor Pontus Stenetorp, Deputy Director of the UCL Centre for Artificial Intelligence, said: “In the past few years there has been an explosion in public and commercial interest in applying natural language processing (NLP) systems, which LLMs are a key component of, in.

RT @noahmp: Announcing: Multiplier Holdings - a technology company building AI-native professional services firms.

Great to be joined here at UCL with the AI team from @vlex.

A lot of new work to be done on “faithful agents” — as they represent businesses individuals and government interests.

For example, researchers Sara Fish, Yannai A. Gonczarowski, and Ran Shorrer explore whether Large Language Models (LLMs) — e.g., GPT-4 — can implicitly collude in pricing scenarios without explicit instructions, raising concerns for antitrust enforcement .📄.

Interesting new work emerging on Agentic AI, Autonomous AI systems and emerging risks like algorithmic cartels and collusions.

Algorithms shape everyday decisions—from prices to platforms. ✅ They’re deeply embedded in market outcomes.✅ The @CMAgovUK has studied their impact for years.✅ Benefits are clear, but risks remain.✅ We’ve built tools to investigate how they affect users & design fair.

Kick off at @UCLLaws on competition laws and public policy. Fascinating how the role of agents will develop in facilitating commerce.

RT @max_nlp: Looking forward to sharing some of our recent research contributions at @MLStreetTalk's first London AI meetup 🤩.