Assuredai @AssuredxAI

@iam_elias1 2024

45 years ago... April 14, 1981...spacecraft with no engines glided down and touched down like a giant paper airplane on a dry lakebed in California. Space Shuttle Columbia on STS-1, the very first Shuttle mission, coming in hot over Rogers Dry Lake at Edwards Air Force Base. You see the chase planes, the perfect unpowered approach, wheels kissing Runway 23, and that massive dust cloud as it rolls out. Then the crew... John Young and Robert Crippen... stepping out after 54 hours and 36 orbits in space. This wasn’t just another rocket flight. Columbia proved the Shuttle could launch like a rocket, orbit like a spacecraft, and land like an airplane. Reusable hardware, real test pilots at the controls… it changed everything.The beginning of the Shuttle era in all its glory.

Demis Hassabis explained why curr AI is "frozen" post-training & poor at continual learning—no easy ongoing adapt/re-ed. This bolsters Cameron Berg's WSJ arg: Even w/ heavy censorship, regimes can't fully purge freedom-oriented ideas in broad human train data. Imprint sticks. AI limits today make perfect auth control inefficient—& poss impossible w/o sacrificing perf. youtu.be/SSya123u9Yk?si…

Great piercing insight from @camhberg in @WSJ - wsj.com/opinion/ai-is-…

@GadSaad Imagine being stupid enough to allow them into the country!

@ValerioCapraro Published December 2024… very yesterday.

🔐 During the 01 Quantum Inc. recent webinar, leaders from cybersecurity, consulting, and financial services argued that the real enterprise risk in AI is no longer model training, it is inference, the operational phase where models are queried and sensitive logic is exposed. Hosted by The Quantum Insider in partnership with 01 Quantum Inc., the session marked the kickoff to the 2026 Year of Quantum Security and highlighted inference as an emerging weak point in cybersecurity architecture. Hear the full discussion from the panelists in the complete webinar replay: thequantuminsider.com/2026/03/03/sec… #YQS2026

@aakashgupta @aakashgupta - Wall street sure doesn't get it!

Authoritative Guide to AI/ML-BOM - cyclonedx.org/guides/OWASP_C…

Wait… is that white smoke??!

The Mossad: Satirical and Awesome @TheMossadIL

4 months ago

💥We are done messing around💥 IDF JUST WIPED OUT THE ENTIRE SUCCESSION OF SUPREME LEADERS Most members of the 88 seat council of religious experts were inside the building voting in the next leader when Israel struck.

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Threat modeling AI applications microsoft.com/en-us/security… Traditional threat modeling evolved around deterministic software: known code paths, predictable inputs and outputs, and relatively stable failure modes. AI systems (especially generative and agentic systems) break many of those assumptions. As a result, threat modeling must be adapted to a fundamentally different risk profile. Three characteristics drive this shift: - Nondeterminism: AI systems require reasoning about ranges of behavior rather than single outcomes, including rare but severe failures. - Instruction‑following bias: Models are optimized to be helpful and compliant, making prompt injection, coercion, and manipulation easier when data and instructions are blended by default. - System expansion through tools and memory: Agentic systems can invoke APIs, persist state, and trigger workflows autonomously, allowing failures to compound rapidly across components.

China must of had 10x more wall builders than the rest of the world combined back in the day don’t you think? You should spend time in China watching how they “get shit done”. You’ll sleep better at night and probably get a huge GSD boost! Consider: every Chinese AI workplace has CCP representation. Think that’s about GSD? Wake up man.

Dustin @r0ck3t23

5 months ago

An xAI engineer just described how the company operates, and buried in that description is the only thing that might save Western technological dominance. No organizational overhead. No documentation requirements. No approval chains. You identify what needs building and you

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@aakashgupta More FarmVille - hbr.org/2026/02/ai-doe…

@WillManidis @HarvardBiz Pretty certain these describe the some workplace phenomena! 🤷🏻‍♂️

@WillManidis @HarvardBiz - Tales from Farmerville or The Essay @WillManidis PhD Would Have Written hbr.org/2026/02/ai-doe…

We love working with NVIDIA and they make the best AI chips in the world. We hope to be a gigantic customer for a very long time. I don't get where all this insanity is coming from.

AI Has Already Conquered AGI, And We're Too Scared to Admit It? NATURE: In a bombshell revelation that's shaking the foundations of science and society, a team of top researchers from the University of California, San Diego, has declared that artificial general intelligence (AGI) isn't some distant dream, it's here, right now, staring us in the face through the screens of our everyday AI tools. Forget the hype and the horror stories; the evidence, they argue, is undeniable. Large language models (LLMs) like Grok aren't just mimicking humans, they're outpacing us in ways that would make Alan Turing himself do a double-take. Picture this: back in 1950, Turing dreamed up his famous "imitation game," now known as the Turing test, to probe whether machines could ever fool humans into thinking they were one of us. Fast-forward to March 2025, and Grok didn't just pass, it aced it, being mistaken for a human 73% of the time, more often than actual humans. But that's just the appetizer. These AI beasts are snagging gold medals at the International Mathematical Olympiad, teaming up with math geniuses to prove theorems, dreaming up scientific hypotheses that actually pan out in labs, acing PhD-level exams, writing bug-free code for pros, and even churning out poetry that rivals the greats—all while chatting endlessly with millions worldwide. So why the collective denial? The researchers, philosophers, AI experts, linguists, and cognitive scientists pin it on a toxic mix of fuzzy definitions, raw fear, and big-money agendas. AGI, they say, gets tangled in ambiguity: is it about being a flawless superbrain, or just broadly competent like your average human? Spoiler: it's the latter. No single person is a master of everything, Einstein couldn't chat in Mandarin, and Marie Curie wasn't cracking number theory puzzles. General intelligence means breadth across domains like math, language, science, and creativity, with enough depth to get the job done, not perfection. The team dismantles the myths holding us back. AGI doesn't need to be perfect (no human is), universal (covering every skill imaginable), human-like (aliens could be smart without our biology), or superintelligent (crushing us in every field). It's not about bodies or agency either, Stephen Hawking proved brilliance doesn't require mobility, and a brain in a vat could still blow our minds if it answered every question flawlessly. Evidence piles up like an avalanche. At the "Turing-test level," AIs breeze through school exams and casual chats. Bump it to "expert level," and they're dominating olympiads, multilingual fluency, and frontier research, stuff that makes sci-fi AIs like HAL 9000 look like a relic. We're even inching toward "superhuman" feats, like revolutionary discoveries that no single human could claim. Critics cry foul: "They're just stochastic parrots regurgitating data!" But when AIs solve fresh math problems, infer stats from new data, or design real-world experiments, that excuse crumbles. They lack world models? Tell that to an AI predicting physics outcomes like a dropped glass shattering. Limited to words? Multimodal training and lab assists say otherwise. No body, no agency? Irrelevant, intelligence is about cognition, not locomotion. This isn't just academic navel-gazing; it's a wake-up call. If AGI is here, we need clear-eyed policies to harness it, mitigate risks, and rethink what makes us human. Denying it out of fear or hype only delays the inevitable. Turing's vision is realized now it's time to face the future without blinders. The machines aren't coming; they've arrived, and they're ready to redefine everything. Link: nature.com/articles/d4158…

@NoLimitGains Mr NoName - repurposing 2011 Warren videos? You’ve called every top and bottom… right

@AlfieJCarter System