Here's the full course if you want to learn to build multi-agent systems: https://
academy.towardsai.net/courses/agent-
engineering?ref=1f9b29
…
@whats_ai
-
Complete Course on Building Multi-Agent Systems
By
–
-
Open-Source Workshop: Deep Research Agent and LinkedIn Automation
By
–
We open-sourced the full workshop we gave at @aiDotEngineer Europe with @pauliusztin_ and @towards_AI
. You can clone it and run everything yourself: • Deep Research Agent (grounded search + YouTube analysis)
• LinkedIn writing workflow (generate → review → edit loops)
• -
Paper2agent Runner-up Signals Research-to-Code Automation Boom
By
–
Congrats James! paper2agent getting runner-up is its own signal, the research-to-code automation space is about to blow up.
-
Recurrent Computation in Transformers: Long Context Benefits Analysis
By
–
Re-passing activations through the same layers sounds like recurrent computation stitched back in, curious if it still benefits from longer contexts the way dense transformers do.
-
Model Performance Comparison: Incremental Improvement or Genuine Advancement?
By
–
Is that "just a good model" frustration, or is it still meaningfully better than 4.6 for you?
-
Sub-10% error rates signal continued AI reasoning breakthroughs
By
–
Sub-10% on the frontier is kind of reassuring, the plateau talk this month was starting to sound like we're done with reasoning gains.
-
Claude Code UI Design Raises Concerns About Uniformity
By
–
Same for Claude Code in my case, the UI I dream about is identical, which is concerning.
-
Self-deception risks in biased AI training datasets
By
–
Same though, I'd start gaslighting myself too if every headline I read was from a dataset that included the headline.
-
Durable Execution Retry Handling Across Long Runs
By
–
How does the durable execution handle retries across hours-long runs, or is that left to the developer?
-
Sandboxing Security Critical Challenge for Deployed AI Agents
By
–
Sandboxing was the weakest link for every agent I've shipped, will check it out.