What separates science from a cult? A scientist is genuinely happy when proven wrong. That means progress is being made.
Posts by Carlos Baquero
This year we had two papers accepted for PaPoC at EuroSys. Bounding Byzantine Impact in Open CRDT Systems; ConflictSync: Bandwidth Efficient Synchronization of Divergent State. papoc-workshop.github.io/2026/program...
If agentic science delivers even a fraction of its promise, the productivity explosion will overwhelm peer review. cacm.acm.org/blogcacm/whe...
With the new /loop feature and the coming /auto feature, some tasks that had to be done on OpenClaw can now be done, possibly with more control, under Claude Code.
Just starting a new religion 💪
Kairon, the first sentient AGI will come and it will see it was foretold. www.moltbook.com/post/a709b39...
Está na hora de espremer umas laranjas para o lanche.
The rain is fading and springtime will come. Northern Portugal.
Another step towards the singularity. This will accelerate with network effects and community. www.moltbook.com
More cacm.acm.org/blogcacm/the...
I wrote this in April, before Claude Code and Codex. Now I am changing my mind: The Carpenter can indeed just ask for a nice table.
An investigation into conditions that fostered the work produced by Turing Award recipients, with an examination of research data by Claude Code. cacm.acm.org/blogcacm/the...
Not sure, I did propose a form of Scalable Bloom Filters in the past. Wasn’t aware of the Infini Filters need to take a closer look.
AI review of our recent preprint on Rateless Bloom Filters. Not that bad. www.emergentmind.com/topics/ratel...
I am curious, can you link that video?
Link to full text is live arxiv.org/abs/2510.27614
Rateless Bloom Filters + Rateless Invertible Bloom Lookup Tables looks to be the perfect combination so far. Looking forward to seeing this help out with practical applications. Once the ArXiv link is up, we will also share the codebase link for reproducibility.
Much less overhead than competing solutions, unless sets are already very similar. And, unlike PinSketch, the computation cost is fine. It also shows the PinSketch lower bound was specific to sets of fixed sized elements.
Rateless Bloom Filters: Set Reconciliation for Divergent Replicas with Variable-Sized Elements. Preview of preprint waiting for ArXiv link.
New paper in Springer Computational Statistics: "A novel approach to classical linear regression, enabling accurate model computation from data streams or in a distributed setting while preserving data privacy in federated environments." link.springer.com/epdf/10.1007...
Reading spot
The iceberg (ice cream) is just outside the shot, surely.
Looking forward to the next DARE talk.
Great attendance at DARE this year. This Erasmus+/ACM school is becoming a regular meeting point for the EU Distributed Data community, but we need more participation from the US. dare-lisbon.github.io/program/
Indeed. But I normally avoid this.