OPAW: An observer-based approach to the sorites paradox and the logic derived from that

The sorites paradox asks: at what point does a heap stop being a heap? The compact version: let's take a large heap, remove one grain, then it surely is still a heap. Rinse and repeat. What is the grain count threshold after which a heap isn't a heap any more? It's one of those logic … Continue reading OPAW: An observer-based approach to the sorites paradox and the logic derived from that →

OPAW: Real-Time Target Sound Extraction

In this instalment of "One Paper a Week", we're looking at Waveformer, a neural network for extracting specific waveforms from a sound mix in real-time. If you're thinking "Independent Component Analysis", you're not alone: ICA can also extract a desired signal from a mix of signals (similarly to how we are able to understand a … Continue reading OPAW: Real-Time Target Sound Extraction →

OPAW: Tracking Capabilities for Safer Agents

With AI agents rampaging on half the population's computers, there is increased interest in safe-guarding AI agent workflows. In "Tracking Capabilities for Safer Agents" no one less than Martin Odersky (et al) propose a framework for running AI agents subject to security policies. The answer is - of course - Scala. I'm skipping the problem … Continue reading OPAW: Tracking Capabilities for Safer Agents →

OPAW: Fuzzy Extractors are Practical

I miss Adrian Colyer's "The Morning Paper" where he discussed one research paper per day - it was a great read and I learned a lot. I'll probably never be able to match his quality and throughput, but I actually do read papers (or, more lazily, watch their presentations) and wanted to keep up Adrian's … Continue reading OPAW: Fuzzy Extractors are Practical →