DeepFlow

operate and scale AI-first companies through human-AI orchestration

[DeepFlow @DeepFlowAI]

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 https://t.co/cV6Dh6ds63

[Azeem Azhar @azeem]

You won’t get ROI from AI by giving everyone a chatbot and leaving the company unchanged.

[DeepFlow @DeepFlowAI]

Kicking off @ucl #AI #Festival @uclcs @UCLSoM @nvidia @HPE @britishland

[DeepFlow @DeepFlowAI]

DeepFlow Director of AI @s_albrecht on stage at #AAAI discussing compliance and regulation in the context of deploying multi-agent systems in industry

[DeepFlow @DeepFlowAI]

@Baidu_Inc where are all your peeps? Come and check us out at #AAAI and learn about multi-agent systems!

[Séb Krier @sebkrier]

I think this is spot on. The most useful work in the coming years will be about leveraging AI to help improve and reform liberal democracy, the rule of law, separation of powers, free speech, coordination, and constitutional safeguards.

One heuristic I have for AI is: if somone can instantiate their preference or desire really easily, if principal agent problems are materially reduced, if you can no longer rely on inefficiency or bloat as indirect hedge - then the 'rules of the game' matter more than ever.

These are all very difficult questions with or without AI. And I'm concerned with two things in particular: first, the easy appeal of anti-elite populism - people who just think 'well let's have vetocracy everywhere, let's leverage the emotions of the masses for short term gain'.

And second, the appeal of scheme-y behaviour - instrumental convergence for political operators. This is harder to pin down, but basically a variant of "I want goal X, so anything that gets me closer to this goal is good" - what leads to all sorts of bad policy and unsavoury alliances.

And instead of trying to 4D chess it or try to recreate politics from first principles, I think technologists should actively enage with experts in all sorts of discplines: constitutional scholars, public choice economists, game theorists etc. Converesely, many of these experts should engage with technologists more instead of coping with obsolete op-eds about how AI is fake or something.

Lastly, improved AI capabilities means you can now use these systems for more things than you could have before. I couldn't write software a year ago and now I can create a viable app in a day. This dynamic will continue, and will reward people who are agentic and creative.

Are you a local councillor? Well now you have 1000 agents at your disposal - what can you now that that was otherwise unthinkable? Are you someone who lives in their district? Now you have even better tools to hold them to account. Are you an academic? Great, now consider how the many bylaws, rules, structures, institutions, incentives are messing up incentives and progress, what should be improved, and how to get streamlined coordination rather than automated obstruction.

[Ethan Mollick @emollick]

When you see how people use Claude Code/Codex/etc it becomes clear that managing agents is really a management problem

Can you specify goals? Can you provide context? Can you divide up tasks? Can you give feedback?

These are teachable skills. Also UIs need to support management

[Jonathan Gilmore @jbgilmore]

What you are describing is @DeepFlowAI : graph-based workflows that seamlessly pass work from many humans to many agents, with workspaces below each node. It’s a human-ai orchestration layer than sits on top of all existing applications, co-pilots, agents.

We’ve set a global benchmark here: https://t.co/KRv02cIbZ7

https://t.co/uykMPGnRwk

@Guillaume_rx21 @latticecut

[DeepFlow @DeepFlowAI]

Intelligence requires hierarchical planning — Humans plan at many timescales: “go to the airport → get a taxi → stand up from chair → open door.” AI needs world models that operate at multiple resolutions, each level predicting at its own timescale and abstraction. No one has solved this yet. Come and solve it with us [email protected]

[DeepFlow @DeepFlowAI]

Full breakdown: https://t.co/31GMfK8NVT
Who’s adding live sigmoid fitting to their RL dashboard this week? 🚀

[DeepFlow @DeepFlowAI]

RL scaling just got predictable. New findings: Big RL runs (8B–17B models) follow a "perfect" sigmoid curve. Fit it at ~50% of training → predict final performance almost exactly. No more gambling millions of GPU-hours. 🔥 1/5

[DeepFlow @DeepFlowAI]

This changes the game: → Kill doomed runs early → Know exactly which tricks raise ceiling vs just speed → Budget RL like LLM pre-training: “We need X compute to hit 0.63” 4/5

[DeepFlow @DeepFlowAI]

And in real organisations, that distinction is everything…

If you need help navigating AI transformation get in touch https://t.co/I5mwumWxWD

DMs open! 5/5

[DeepFlow @DeepFlowAI]

Is everything in the agent space really just a workflow?

[DeepFlow @DeepFlowAI]

That’s the picture in the illustration: an arc from RPA to “AI Workflow” to “Open‑Ended Agent.”

But here’s the problem:
All three points on that curve are thinking about AI as the thing that does the activity. Almost nobody is thinking about AI as the thing that manages the activity. 4/5

[DeepFlow @DeepFlowAI]

Great time and amazing work from the @EWOR_official team 🙏

[EWOR @EWOR_official]

Experienced founders know this already: 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘦𝘤𝘰𝘴𝘺𝘴𝘵𝘦𝘮 𝘢𝘤𝘤𝘦𝘭𝘦𝘳𝘢𝘵𝘦𝘴 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨. @SlushHQ delivers that every single year.

Earlier this week, EWOR Fellows, Partners, and community members validated this again in Helsinki. Highlights included:

𝟬𝟬𝟭 Co-hosting the EWOR × @MerantixCapital side event at Slush. A select group of cracked founders and investors met for direct and valuable conversations. A big thank you to Noora Saksa, @AdrianLocher and @perlberg for making it happen.

𝟬𝟬𝟮 Co-hosting a dinner with several Nordic VCs with the theme “Building a Better Europe.” Several EWOR Fellows met top-tier investors for clear, high-quality discussions. Shoutout to Growth minds, Pinecone, Nordic Science Capital and @stripe for bringing everyone together.

𝟬𝟬𝟯 EWOR Fellows totally slushed it: @LajmiRihab spoke about @asendia_ai. Ashkan (AMARA), Mo (@EpimindsAI) and @jbgilmore (@DeepFlowAI) pitched at five.degrees to an audience of 150 talents.

𝟬𝟬𝟰 EWOR Partners Paul and Petter led packed sessions on navigating co-founder breakups and what the 'Zero to Unicorn' journey looks like in reality.

The momentum continued all over the city. Meetings. Introductions. Follow-ups. Spontaneous gatherings that moved work forward and connected the right people at the right time. The conversations that matter. The ones that only happen in person.

See you next year in Helsinki!