CLOUD ASSURE™ from Affirmed Systems is the low latency real-time aware platform to manage public and private clouds. #CloudAssure #LowLatency #NeutralCloud

New York, NY
Joined August 2010
AI is not the bubble. It is the benchmark.
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Fields Medalist Richard Borcherds on OpenAI proofs: "i think what people are getting upset about is that they'e slowly realizing that they are dumb and somehow blaming this on AI, even though it's not really AI's fault" finally, someone who gets it
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Wild story from @briankrebs: 1) Dubrovsky, the arrested ransomware negotiator, knew ShinyHunters stole FBI data but never told FBI; 2) an exec from another large US negotiating firm played an active role operating ShinyHunters' victim extortion website krebsonsecurity.com/2026/10/…
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Critical infrastructure can’t afford blind spots. Yet 68% of surveyed organizations lack complete, real-time visibility into their OT assets. @TechNewsWorld explores the findings from our latest report and what they mean for operational resilience.

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$50,000 in AI tokens. In a single day. As AI coding adoption accelerates, visibility and control over usage and spend are critical. With Prisma AIRS AI Gateway, organizations can govern AI activity, protect sensitive data, and enforce spending policies in real time. Secure AI coding. bit.ly/4BlQpJY
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FBI suspects a U.S. consulting executive helped run ShinyHunters' internal extortion platform ShinyWire[.]com
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AWS finally made centralized logging simple 🎉 Everybody says "you need a central logging account", but setting it up was quite a hassle. Your options before:
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Tao setting himself up nicely to become OpenAI’s Chief Mathematician. We’ll know he took a payday when he suddenly believes AI is a good thing for math or he stops talking entirely
The A.I.-induced crisis in math is depressing because devalues one the most rarified areas of human thought. The great @terrence_tao suggests that mathematicians may find creative new ways to use A.I. that advances their field. "They will increasingly work in large groups collaborating on once-unimagined projects." I hope he's right, but the obvious question is: will A.I. companies simply then train their algorithms to do the same thing? nytimes.com/2026/10/16/us/ma…
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An IT breach can stop a production line without ever reaching the factory floor. As IT and OT converge, resilience demands boardroom attention. Explore five actions to protect safety, uptime, and operational continuity.

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BREAKING: Palantir’s CTO says some AI researchers are now smoking cigarettes because they expect AI to eventually cure cancer.
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I love how Microsoft Teams automatically changes my status to Away the second I stop touching my mouse. Because obviously if I’m reading a document, thinking, or doing literally anything that doesn’t involve aggressively moving my cursor, I’ve abandoned my job. Incredible way to measure productivity. No notes.
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OpenAI just announced a breakthrough in matrix multiplication - the critical building block of countless algorithms, including how all of the AI works. Like, if you were wondering what @nvidia's chips are doing - this is what they're doing. We could argue that slashing the theoretical efficiency exponent from 2.371339 to 2.25 for square matrices represents a tectonic shift in both computer science and the economics of artificial intelligence. Over lunch, my colleague at @pathway_com just extended the result to rectangular matrices, slashing the exponent to ω=2 for the other most used matrix shape (n × √n matrix by a √n × n matrix). Here is the paper (in replies). You're welcome. What beautiful times we live in, when you can get results like these while chewing on your burrito. Cheers to Przemysław Uznański (@PrzemekUzn25621)! 🍻 Human mathematicians can still be somewhat useful ;-) *The remarkable part is the equality: two is the smallest possible exponent, matching the lower bound imposed by the n^2-entry output. For this matrix shape, this result settles the exponent exactly, once and for all.
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AI ships code fast, but production issues pile up even faster. Legacy tools leave you guessing what broke. Cortex XCOR changes that with autonomous agents that find, fix, and optimize high-value data on demand. Ask. Remediate. Optimize. bit.ly/3VEKGhP
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We’ve lost an icon. Margaret Hamilton, a computer science pioneer best known for her work at MIT leading development of the flight software for the Apollo missions to the moon, has died at 90. Read about her legacy via MIT News: news.mit.edu/2026/margaret-h…
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Cyber Incident firms charge this much any way. We saw one recovery go to $2.5M in 2 months. Their incident commanders were billing $500+ hour each 24 hours a day while they rebuilt and restored from backups. The first tier of backups were wiped by the ransomware gang (Qilin).
🚨 🇺🇸 Cybersecurity expert charged in alleged $19 million ransomware remediation fraud scheme Zohar Pinhasi, 50, the owner of Florida based cybersecurity company MonsterCloud, has been charged with allegedly defrauding businesses seeking help after ransomware attacks. Prosecutors say Pinhasi, also known as “Zack Silver” and “Zack Green,” claimed his company could recover encrypted data using proprietary technology without paying attackers. Instead, he allegedly negotiated with the cybercriminals, secretly paid their ransom demands and charged clients substantially more. In one case, MonsterCloud allegedly paid an attacker about $8,200 before billing the victim approximately $150,000. The Justice Department says Pinhasi collected more than $19 million from clients while making over $8 million in ransom payments. He was arraigned in Brooklyn on October 7 after being indicted on two counts of wire fraud and one count of wire fraud conspiracy. Each count carries a maximum penalty of 20 years in prison if he is convicted. Source: justice.gov/opa/pr/known-cyb…
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Right? Seems like good negotiating skills. I've seen many people hire someone to negotiate salary for a job offer they were given, negotiator gets a commission of sorts and everyone is happy. This is a negotiation service, nothing wrong with that.
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Reading the comments of junior mathematicians confirms what many senior mathematicians have been warning about over the past month: It is becoming clear that people with the intellectual ability to understand these proofs will not be interested in spending their lives training to check LLM logs. This is the tragic side of what is happening that almost no one — except the actual mathematicians — seems to get. Either we figure out how to keep people interested in doing mathematics, or in 20 years LLMs will have no one’s work left to recombine into new proofs, and no one interested in reading those proofs. That would be the thermal death of mathematics. The argument that “LLMs will read LLM math” is so shortsighted that it makes me want to cry…
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Faster root-cause analysis, smarter observability. Discover how Cortex XCOR automates system visibility and helps teams resolve complex AI infrastructure outages in minutes. Check out the article on @thenewstack. thenewstack.io/cortex-xcor-a…
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