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Mythos Didn’t Break Your Security Program. Your Exposure Window Could

The industry spent the initial months after Anthropic’s April 7 Mythos reveal focused on volume. How many new CVEs would Mythos add to an already overloaded pipeline? How quickly would the flood of AI-driven discovery overwhelm triage capabilities? How long would it take adversaries to weaponize Mythos findings at scale? Those questions were and remain valid. Yet they all stop short of addressing the single metric that determines whether any of those vulnerabilities actually lead to a breach: the exposure window.

The exposure window — the gap between the moment a vulnerability becomes exploitable and the moment your team fixes it — is the time an attacker has to do actual damage. That window is currently open far too wide. In 2025, the average eCrime breakout time dropped to 29 minutes. Even PCI DSS — the strictest compliance framework in the industry — allows 30 days to remediate a critical vulnerability. That’s a 1,000-to-1 gap between how fast attackers move and how fast organizations are expected to respond. And the stick propping this exposure window open? Mobilization — the ownership, remediation, and organizational complexity that lowers response times and raises risk.

In this article, I’ll walk through why the exposure window is now the metric that matters most, what keeps it open, and how AI-driven discovery is forcing proactive security teams to adopt the speed-based metrics that SOC teams have used for years.

Gemini Architecture Written Directly Into Silicon: Technical Details of Google’s New AI Inference Chip “Frozen v2” Revealed, Processing per Unit of Power Consumption Increased by up to 10 Times

TradingKey — According to a report from The Information citing two people familiar with the matter, Google (GOOGL) is developing a new server chip capable of directly embedding the underlying architecture of the Gemini large model into the chip hardware to significantly enhance the operational efficiency of AI services for users. Internally codenamed “Frozen v2,” this AI inference chip directly addresses Google’s current severe shortage of AI computing power. Sources revealed that the computing capacity gap has triggered internal resource conflicts and even forced Google Cloud to reject numerous orders from external customers. The research and development team estimates that once the chip is officially deployed, the number of tokens processed per unit of power consumption will be 6 to 10 times that of the latest generation of Google’s existing self-developed AI chips.

Disruptive technologies are expected to transform the manufacturing of advanced semiconductors over the next five years

Gelonghui, July 13 | According to Science and Technology Daily, the surge in AI technology has driven strong demand for advanced chips, yet global chip supply remains constrained by the technology and production capacity of only a few companies. In a recent report, Forbes.com noted that as emerging technologies continue to rise, the global approach to manufacturing cutting-edge chips is expected to undergo a major transformation by 2030. Although extreme ultraviolet (EUV) lithography is currently dominant, it is not the only method for ‘drawing’ microscopic transistors onto silicon wafers. A new generation of forward-looking lithography technologies is poised to emerge, potentially replacing EUV lithography and reshaping how advanced chips are manufactured. Atomic lithography abandons ‘light’ and instead

David Simpson on PostHuman, TransHuman and The God Killers

2011, I sat down with a young sci-fi writer from Vancouver named David Simpson.

Nobody was talking about AGI at dinner parties back then. There was no ChatGPT. No trillion-dollar AI race. Just a handful of us asking questions most people found eccentric at best.

David had written Post-Human and Trans-Human, novels imagining a world where artificial superintelligence remakes what it means to be human. He was also doing something the publishing industry considered heresy: ditching his traditional publisher to sell his books as 99-cent ebooks, betting that technology would flip the entire business on its head.

Fifteen years later, one of those bets looks obvious. The other one, well, you’ll have to watch the interview and judge for yourself.

We talked about why he writes, what science fiction owes to technology and what technology owes to science fiction, the authors who shaped him, and the meaning behind titles like The God Killers.

What strikes me most, rewatching it now, is not what we got right or wrong. It’s the questions themselves. The best #scifi doesn’t predict the future. It interrogates it. And the questions David was asking in 2011 about #AI, posthumanism, and human purpose are the same ones the entire world is scrambling to answer today.

Spotify Doubles Down on AI Slop As It’s Being Flooded With It

On Thursday, the singer Ella “Lorde” O’Connor took to Instagram to share a screenshot of the “About the Song” summary of one of her songs. In the screenshot, the AI feature can be seen declaring that “on her Ultrasound World Tour, Lorde turns Current Affairs,” a song off of O’Connor’s most recent album, “into a full-on performance piece, stripping down to underwear while a dancer pours water over her stomach so the song plays out like the shower scene she talks about on stage.” According to a blurb at the bottom of the summary, it drew information from the Australian outlet The Music, which reviewed O’Connor’s tour.

But according to O’Connor’s Instagram story, this isn’t true — that performance happens in her show, but in a different song. There was an inaccuracy in The Music’s review, and that made its way into Spotify’s AI summary.

“Not only is this inaccurate (not the song I did that in),” O’Connor wrote in the caption of the Instagram story, “but reducing a song to an AI-generated meaning right at the source feels like it limits free interpretation [in my opinion]. At least make it possible for artists to opt out please.”

Predicting 2050: The Convergent Power of Emerging Technologies

Dear Friends and Colleagues, In this issue of the Security & Tech Insights newsletter titled Predicting 2050: The Convergent Power of Emerging Technologies, I offer insights on what our world may technologically appear to be in the not-so-distant future. I compiled much of the content from my prior writings and podcasts and they are my perspectives. I would enjoy your feedback and also what you perceive will impact life as we know it in 2050. Thanks Chuck Brooks.

#tech #ai #quantum #biotech #future #space #computing #artificialintelligence #smartcities #security #cybersecurity

Cyber Hygiene In The AI Era—Our First Line Of Digital Defense

By Chuck Brooks


From normal maintenance to strategic resilience, cyber hygiene is changing. The AI era is incredibly promising. It can enhance government services, healthcare, education, productivity, scientific research, and economic expansion. However, those same technologies are giving cybercriminals previously unheard-of capabilities. Fear is not the answer. It is getting ready.

The easiest, cheapest, and most successful cybersecurity investment is still cyber hygiene. It serves as the cornerstone for the development of trustworthy digital societies when combined with Zero Trust architectures, AI-enabled defense, identity-centric security, ongoing education, governance, and resilience planning.

Cyber hygiene is an ongoing discipline rather than a one-time endeavor. Organizations that regularly practice excellent cyber hygiene will be much better able to protect against new threats, keep consumer trust, and build long-lasting digital resilience in an era of AI, cloud computing, quantum technologies, and hyperconnectivity.

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