DeepFlow
@DeepFlowAI
http://DeepFlow.com powers workflows for human-agentic teams. Orchestrate your tasks, team, models, and agents.
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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 Deepflow.com
New paper from the @DeepFlowAI team! Orchestrating Human-AI Teams: The Manager Agent as a Unifying Research Challenge As we start deploying AI agents for real tasks, the next step is Manager Agents that coordinate teams of human and AI workers. 📄 arxiv.org/abs/2510.02557 (1/3)
“Right now, your company has 21st-century business processes, mid-20th-century management processes, all built atop 19th-century management principles.” —Gary Hamel, Future of Management
In just one year: -OpenAI: from o1-preview → 4.1 benchmark leader. -Anthropic: hybrid reasoning in Claude 3.7. -Google: agentic Gemini 2.x. -GDPval: confirms agents deliver broad value across domains. The agent curve is steep — and still accelerating 🚀
The AI agent story flipped fast. Since Sept ’24, we’ve gone from reasoning “previews” to major benchmark wins in coding, math, and planning. Here’s a timeline of model releases + performance gains from Sept 2024 → Sept 2025 👇
As a researcher at a frontier lab I’m often surprised by how unaware of current AI progress public discussions are. I wrote a post to summarize studies of recent progress, and what we should expect in the next 1-2 years: julian.ac/blog/2025/09/2…
The evolution—from dismissing AI agents as utterly nonfunctional, to acknowledging that specialized ones excel at things like research and coding, and now to realizing that versatile, all-purpose agents deliver real value across diverse applications—unfolded in under a year…
Scaling laws are real, ofc. ++ model power keeps raising the ceiling. But capability ≠ adoption. The moat in workflow AI is bottling institutional context and making it useful in the moment of work.
We’re already approaching parity in GDP value metrics, and that’s without even accounting for the outcomes from AI models fine-tuned for targeted job sectors or economic areas. This explains the confidence of Dario, Sam, and their peers when they candidly warn about major…
Task length is the key AI metric to watch - and it’s accelerating faster than almost anyone outside the industry realises
The METR paper that says that “the length of tasks AI can do is doubling every 7 months” radically undersells the scaling that we’re seeing at Replit. It might be true if you’re measuring one long trajectory for a single model class. But this is where an agent research lab’s…
Everyone’s debating whether AI will take call centre jobs. We’re missing the real story. AI won’t just displace customer service – it’s coming for lawyers, consultants, and finance professionals. The careers that drive UK GDP. The “safe” graduate jobs. We won’t need anywhere…
AI will often be augmenting humans in their jobs, not replacing them.
"AI isn't replacing radiologists" good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive…
No one is more surprised than me that I have made it to @ManchesterMet for #ieec2025 first session! Will be talking #ai and #startup #mentoring this afternoon on behalf of @ucl @DeepFlowAI and our collaboration as @CfEntrepreneurs #entrepreneurship #HigherEducation
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