State-sponsored hackers are exploiting highly-advanced tooling to accelerate their particular flavours of cyberattacks, with threat actors from Iran, North Korea, China, and Russia using models like Google’s Gemini to further their campaigns. They are able to craft sophisticated phishing campaigns and develop malware, according to a new report from Google’s Threat Intelligence Group (GTIG).
The quarterly AI Threat Tracker report, released today, reveals how government-backed attackers have begun to use artificial intelligence in the attack lifecycle – reconnaissance, social engineering, and eventually, malware development. This activity has become apparent thanks to the GTIG’s work during the final quarter of 2025.
“For government-backed threat actors, large language models have become essential tools for technical research, targeting, and the rapid generation of nuanced phishing lures,” GTIG researchers stated in their report. — Read More
Recent Updates
Optimal Timing for Superintelligence
Developing superintelligence is not like playing Russian roulette; it is more like undergoing risky surgery for a condition that will otherwise prove fatal. We examine optimal timing from a person-affecting stance (and set aside simulation hypotheses and other arcane considerations). Models incorporating safety progress, temporal discounting, quality-of-life differentials, and concave QALY utilities suggest that even high catastrophe probabilities are often worth accepting. Prioritarian weighting further shortens timelines. For many parameter settings, the optimal strategy would involve moving quickly to AGI capability, then pausing briefly before full deployment: swift to harbor, slow to berth. But poorly implemented pauses could do more harm than good. — Read More
#singularityThe Concept Every AI Coder Learns Too Late
Have you ever spent hours debugging code that Claude had written 30 minutes before?
Exact same model, same chat, and same prompting. For some reason, Claude starts ignoring previous decisions you made together or ignores mentioned markdown files, only to then present blatantly incorrect suggestions.
You aren’t at fault here. Instead, you’re experiencing context rot. — Read More.
Something Big Is Happening
Think back to February 2020.
If you were paying close attention, you might have noticed a few people talking about a virus spreading overseas. But most of us weren’t paying close attention. The stock market was doing great, your kids were in school, you were going to restaurants and shaking hands and planning trips. If someone told you they were stockpiling toilet paper you would have thought they’d been spending too much time on a weird corner of the internet. Then, over the course of about three weeks, the entire world changed. Your office closed, your kids came home, and life rearranged itself into something you wouldn’t have believed if you’d described it to yourself a month earlier.
I think we’re in the “this seems overblown” phase of something much, much bigger than Covid.
I’ve spent six years building an AI startup and investing in the space. I live in this world. And I’m writing this for the people in my life who don’t… my family, my friends, the people I care about who keep asking me “so what’s the deal with AI?” and getting an answer that doesn’t do justice to what’s actually happening. I keep giving them the polite version. The cocktail-party version. Because the honest version sounds like I’ve lost my mind. And for a while, I told myself that was a good enough reason to keep what’s truly happening to myself. But the gap between what I’ve been saying and what is actually happening has gotten far too big. The people I care about deserve to hear what is coming, even if it sounds crazy.
… Most of us who work in AI are building on top of foundations we didn’t lay. We’re watching this unfold the same as you… we just happen to be close enough to feel the ground shake first.
But it’s time now. Not in an “eventually we should talk about this” way. In a “this is happening right now and I need you to understand it” way. – Read More
How Top 0.1% ChatGPT Users Actually Write Prompts (And How You Can Too)
Most people think good prompting means writing with context, but that’s not the only thing.
Top 1% ChatGPT users do something very different.
They don’t just ask questions to ChatGPT; they also control how the model thinks.
They design the thinking process for the model; as a result, the desired output comes naturally. — Read More
The Top Open-Source LLMs in 2026
For years, the narrative around large language models was simple: the most capable models lived behind APIs, and open-source alternatives trailed behind by a generation or two. Open models were good for experimentation, research, or cost-sensitive use cases — but not for serious, production-grade intelligence.
That narrative has collapsed. — Read More
NEW Seedance 2.0 is INSANE!
An ice dance duo skated to AI music at the Olympics
Czech ice dancers Kateřina Mrázková and Daniel Mrázek made their Olympic debut on Monday, an unfathomable feat that takes a lifetime of dedication and practice. But the sibling duo used AI music in their rhythm dance program, which doesn’t break any official rules, but serves as a depressing symbol of how absolutely cooked we are.
As Mrázek spun his sister in a crazy cartwheel-lift-sort-of-move that made them look superhuman, one of the NBC commentators mentioned in passing, “This is AI generated, this first part,” referring to the music. Somehow, that admission is even more baffling than the gravity-defying tricks that the siblings showed off on the pressure of Olympic ice. — Read More
America’s $1T AI Gamble
The United States is undertaking a historically unprecedented investment boom to build the computers, data centers, and other physical infrastructure needed to train and deploy Artificial Intelligence. Hundreds of billions of dollars have already been spent by hyperscalers racing to build smarter AI systems, and investment from major tech companies is set to shatter all previous records again this year. Amidst this boom, spending on data center construction has hit a new record high, now exceeding a $42B annualized pace, a more than 300% increase since the launch of ChatGPT in late 2022. While growth has slowed over the last six months, investment is still up more than 18% over the last year alone.
Yet that figure only reflects the costs to build data center facilities themselves, not the much larger costs of the expensive GPUs, TPUs, and other electronics housed within. Real US fixed investment in those computers and related peripheral equipment has surged to a record high of more than $270B annualized, up nearly 50% over the last year and up 77% since ChatGPT’s launch.
… America is making a globally and historically unprecedented bet on the success of Artificial Intelligence. As a share of the economy, that AI boom is already one of the largest investments in American history—dwarfing the peak of the broadband, electricity, or interstate highway buildouts and vastly exceeding the Manhattan or Apollo projects. And yet, US tech companies are doubling down, raising the stakes on their $1T gamble that AI models will continue their exponential capabilities growth and eventually become valuable enough to repay such a colossal investment. — Read More
The SaaSpocalypse – The week AI killed software
The week AI killed software
Last Monday, $285 billion of market cap evaporated from software, financial services, and asset management stocks. Thomson Reuters lost $8.2 billion. In a single day. LegalZoom dropped 20%. India’s Nifty IT index posted its worst month since October 2008 — worse than the financial crisis.
he week AI killed softwarexxxxLast Monday, $285 billion of market cap evaporated from software, financial services, and asset management stocks. Thomson Reuters lost $8.2 billion. In a single day. LegalZoom dropped 20%. India’s Nifty IT index posted its worst month since October 2008 — worse than the financial crisis. — Read More
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