On September 14, 2015, our first publicly-trusted certificate went live. We were proud that we had issued a certificate that a significant majority of clients could accept, and had done it using automated software. Of course, in retrospect this was just the fi…
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Hello, everybody. I'm Nick, and in this video, I want to show you a brand-new, open-source, cross-platform IDE called SharpIDE.
Give Sh…
We show that deep neural networks trained across diverse tasks exhibit remarkably similar low-dimensional parametric subspaces. We provide the first large-scale empirical evidence that demonstrates that neural networks systematically converge to shared spectra…
Vibe coding is a new programming paradigm in which human engineers instruct large language model (LLM) agents to complete complex coding tasks with little supervision. Although it is increasingly adopted, are vibe coding outputs really safe to deploy in produc…
By applying Herbert Simon’s concept of satisficing to AI, this post argues that language models might prefer logical‐sounding content over emotional appeals, mirroring human biases but inverted. It unveils a paradox: humans use emotion to decide rationally, wh…
Most open source advocates, and many security professionals, often say things like “open source software is secure because you can just read the code”.
This argument assumes that the ability to read source code directly translates into the ability to understan…
NATS is a distributed streaming system. Regular NATS streams offer only best-effort delivery, but a subsystem, called JetStream, guarantees messages are delivered at least once. We tested NATS JetStream, version 2.12.1, and found that it lost writes if data fi…
I recently pushed a few patches to the multiformats/rust-multibase
project to scratch my own itch, and I thought they would be useful to
talk about. In short, these changes do the following:
In woodworking, there's a saying that you should work with the grain, not against the grain and I've been thinking about how this concept may apply to large language models.
These large language models are built by training on existing data. This data forms t…
I’ve spent the last 48 hours completely falling down the rabbit hole of
NVIDIA’s Q3 Fiscal 2026 earnings report. If
you just skim the headlines, everything looks perfect: Revenue is up 62% to $57
billion, and Jensen Huang is talking about a "virtuous cycle of …
Personal site for posts about my interests: the biotech industry, medicine, molecular biology, neuroscience, biorisk, science, consciousness, AI, innovation, decision making, philosophy, games, sci-fi, probability, and forecasting (among other things). I write…
A simple cue like asking the model to 'see' or 'hear' can push a purely text-trained language model towards the representations of purely image-trained or purely-audio trained encoders.