This paper studies the computational complexity of verification problems for Binarized Neural Networks (BNNs), where activations (and sometimes weights) are binary. We analyze two problems: satisfiability and robustness under uniform image occlusion. We show that BNN satisfiability is NP-complete via a reduction from Boolean satisfiability problem (SAT), and that uniform occlusion induces a piecewise-constant structure in the network output, ena... Read more ›
Docker Compose now treats AI models as first-class application components via a top-level `models:` element, so you can wire models, agents, and tools into one declarative file and bring them up with a single `docker compose up`. The required field is `model:` (the OCI artifact pulled and run by Doc Read more ›
I’ve sat in machine learning System Design interviews where the candidate jumped straight into building a distributed feature store with… Read more ›
Perhaps the best perspective from which to being the connection between the theory of signs and the theory of inquiry into its proper focus is Peirce’s own Theory of Information, which he began setting forth in lectures at Harvard and … → Read more ›
At a Stanford talk, Sam Altman defended LLM scaling and hit back at skeptics, saying a whole generation of researchers slowed the field by underestimating what scaling could do. He cited OpenAI's recent disproof of a mathematical conjecture as evidence. The article appeared first on . Read more ›
Looking to store your media privately? Explore five top self-hosted photo and video gallery solutions for full control and customization. The post appeared first on <a href=" Read more ›
This paper investigates the algebraic structure of Krom logic programs, consisting only of facts and rules with at most one body atom. We show that sequential composition endows the class of Krom programs with a natural monoid structure and that this structure admits rich algebraic extensions to Krom seminearrings, Krom quemirings, Krom-Conway seminearrings, and Krom-Conway omegaseminearrings. Furthermore, we establish explicit generating sets a... Read more ›
Audit, compress and monitor your LLM token usage. Most teams cut API costs 40-60% with two lines of code. Read more ›
As the carbon cost of manufacturing and operating semiconductor devices has come into sharper focus, sustainability has gradually emerged as a new system architecture design metric. Like power and performance modeling tools, enabling sustainability-aware silicon systems design and optimizations will require a new generation of electronic design automation and architectural modeling tools. Towards this end, we present an update to the Architectur... Read more ›
To strengthen my practical understanding of identity and access management, I built an Active Directory homelab using Windows Server 2019… Read more ›
The Number You See Is Not What You Get When Anthropic announced Claude’s 200,000-token context window, or when Google unveiled Gemini 1.5 Pro with a million-token window, the coverage treated it as straightforward progress. More tokens in, more capability out. The framing makes intuitive sense: if a model can see more text at once, it should be able to reason about more text at once. This is not quite right. Context window size and context window effectiveness are two different things, and th... Read more ›
Video diffusion has quickly grown into a key generative serving workload, yet producing each clip demands many denoising iterations over large spatio-temporal latents, which puts low-latency inference out of reach on a single device. A denoising step is therefore typically distributed across multiple accelerators, and TPU sub-slices have become an attractive and practical fabric for doing so. Current auto-parallel systems, however, search almost... Read more ›
Software testing is deterministic. LLMs aren't. Here's the mental shift you need before you can evaluate any LLM application. Read more ›
NBC Nightly News anchor Tom Llamas shares his career advice for Gen Z, work-life balance philosophy, and why success starts with hustle. Read more ›
It turned my home server into a personal digital library Read more ›
Explore how Retrieval Augmented Generation (RAG) is revolutionizing the precision of responses from large language models (LLMs) such as… Read more ›
submitted by While building PolyTalk, one of the biggest decisions we faced was whether to rely on cloud APIs or keep everything self-hosted. At first, cloud services seemed like the obvious choice. They make it easy to get started and remove a lot of operational overhead. But the deeper we got into the project, the more we realized that self-hosting wasn’t just a deployment preference, it was a requirement for many of the use cases we were exploring. A few things we learned along the way: Ru... Read more ›
LLM-generated incident reports pose unique dangers because their plausible-sounding errors lack immediate verification mechanisms that catch problems in code… Read more ›