Bruce's Blog44 · 2026-02-24 01:00
Stanford CS146S Deep Dive (5): From Prototype to Production — The Full AI App Lifecycle
A deep analysis of Stanford CS146S Weeks 8-9: building an app with one prompt is just the beginning. Learn the complete path from demo to production, covering testing, security, observability, and AI-powered operations.
Mandiant | Transform Your Cybersecurity17 · 2026-02-24 16:55
AI-Powered Threat Hunting: Staying Ahead of Evolving Attack Patterns
This webinar highlights practical applications of AI in threat hunting, including anomaly detection, analysis, and predictive threat modeling. Threat hunters will learn actionable strategies for implementing AI-assisted hunting techniques and balancing machine intelligence with human expertise.
Antirez15 · 2026-02-24 17:58
Implementing a clear room Z80 / ZX Spectrum emulator with Claude Code
Anthropic recently released a blog post with the description of an experiment in which the last version of Opus, the 4.6, was instructed to write a C compiler in Rust, in a “clean room” setup. The experiment methodology left me dubious about the kind of point they wanted to make. Why not provide the agent with the ISA documentation? Why Rust? Writing a C compiler is exactly a giant graph manipulation exercise: the kind of program that is harder to write in Rust. Also, in a clean room experime...
VAADATA – Ethical Hacking Services15 · 2026-02-24 10:30
TLPT (Threat-Led Penetration Testing): Objective and Methodology
In a context where cyberattacks are becoming more sophisticated, targeted and persistent, traditional security approaches are reaching their limits. Identifying technical vulnerabilities remains essential, but this alone is not enough to assess an organisation’s actual ability to respond to a major attack. In practice, the question is no longer simply whether a vulnerability exists, but [...] The post TLPT (Threat-Led Penetration Testing): Objective and Methodology first appeared on VAADATA -...
Jane Street9 · 2026-02-24 00:00
Can you reverse engineer our neural network?
A lot of “capture-the-flag” style ML puzzles give you a black box neural net, and your job is to figure out what it does. When we were thinking of creating our own ML puzzle early last year, we wanted to do something a little different. We thought it’d be neat to give users a complete specification of the neural net, weights and all. They would then be forced to use the tools of mechanistic interpretability to reverse engineer the network—which is a situation we sometimes find ourselves facin...
Pen Test Partners8 · 2026-02-24 12:26
EV batteries as grid infrastructure and the security risk that follows
TL;DR Introduction I’m a huge fan of micro generation and domestic power storage batteries. However, as we dash for net zero, one of the ways to balance the grid is to capitalise on EV batteries and their large capacity to store power. BUT To take advantage of their capacity, we need bidirectional EV chargers and vehicles […] The post EV batteries as grid infrastructure and the security risk that follows appeared first on Pen Test Partners .