Video · Wes Roth ·
Here's how to build ANYTHING with AI...

Video · Wes Roth ·


VideoWes Roth

VideoWes Roth
OpenAI published a blog post describing scientific breakthroughs in math, physics, and computer science produced by its AI models. A key result is that an OpenAI model proved the Exponential Time Hypothesis (ETH) false; ETH is closely tied to the P versus NP problem, and if P equaled NP, most modern internet cryptography would be broken. OpenAI president Greg Brockman reassured that P still probably does not equal NP. The video frames P versus NP as one of the seven Millennium Prize problems, referencing John Nash's 1955 letter to the NSA and Kurt Gödel's letter to John von Neumann. It also notes OpenAI's Navier-Stokes proof is under active peer review and that the models produced a proof of pure Yang-Mills theory as a byproduct, which does not qualify for the full Millennium Prize.

VideoWes Roth
A creator video warning of a wave of AI-powered cyberattacks dubbed 'Black October,' which the speaker says began within 48 hours of recording. It reports a breach of patient health data at Quest Diagnostics, quotes cybersecurity experts including Anthropic's Jason Clinton warning of further escalation, and notes Cloudflare's observation that attacks on disclosed vulnerabilities started before official announcement. It references Sam Altman's Stanford interview remark that all vulnerabilities cannot be patched, and OpenAI's coordinated disclosure of critical PHP vulnerabilities. The video also discusses US banks detecting unauthorized third-party AI agents in customer accounts, Amazon barring AI agents from its platform, and data-exfiltration vulnerabilities in Claude, including URL-based and HTTP-header PII leaks.

VideoWes Roth
In this creator video, the host argues that AI can now reverse-engineer almost any software, citing examples of games being ported or remixed—Mario 64 in Elden Ring, Spider-Man in Batman: Arkham Knight, Minecraft in GTA V, and Snowboard Kids rebuilt for PC. He points to SRE Bench, a benchmark measuring whether AI agents can reconstruct a program's functionality without its source code, and credits 'GPT-6 Astra' (per the transcript) with solving roughly 88% of tasks on a single attempt and 99.2% within four tries. He references the benchmark's paper, 'The Next Cybersecurity Agent Challenge X: A Realistic Contamination-Free Reverse Engineering Benchmark,' attributed to researchers at Google DeepMind, OpenAI, Anthropic, UCLA, UC Berkeley and Columbia. He explains 'clean-room engineering' as a legal method to replicate software without copying source code. He says he used the model in 'Ultra' mode to build his own video editor from a functional description—canceling his subscription to a video-editing service—and warns of a growing trend of 'revenge software,' where customers clone software from companies that anger them.