Find the Postgres queries that cost the most time, the index that fixes each, and whether it really did. Self-hosted, read-only, Postgres 16–18. - Prateek-Arora/pglens

Agentic AI is beginning to reshape how data science is done, from analytical workflows and experimentation to model development and decision-making. But where does the technology stand today, and what...

9to5Mac Security Bite is exclusively brought to you by Mosyle, the only Apple Unified Platform. Making Apple devices work-ready and enterprise-safe is all we do. Our unique integrated approach to management and security combines state-of-the-art Apple-specific security solutions for fully automated Hardening & Compliance, Next Generation EDR, AI-powered Zero Trust, and exclusive Privilege Management with the most powerful and modern Apple MDM on the market. The result is a totally automated Apple Unified Platform currently trusted by over 45,000 organizations to make millions of Apple devices work-ready with no effort and at an affordable cost. Request your EXTENDED TRIAL today and understand why Mosyle is everything you need to work with Apple. --- This week, I sit down with Ananay Arora, founder and CEO of OpenHack, a Y Combinator startup building an “always-on AI security engineer” for finding vulnerabilities on Mac (and everywhere else). We get into how it works, what’s going on with Apple’s Security Bounty Program, and how to land your first CVE. I hope you enjoy! more…

_9to5Mac Security Bite is exclusively brought to you by_ Mosyle, the only Apple Unified Platform. _Making Apple devices work-ready and enterprise-safe is all we do. Our unique integrated approach to management and security combines state-of-the-art Apple-specific security solutions for fully automated Hardening & Compliance, Next Generation EDR, AI-powered Zero Trust, and exclusive Privilege Management with the most powerful and modern Apple MDM on the market. The result is a totally automated Apple Unified Platform currently trusted by over 45,000 organizations to make millions of Apple devices work-ready with no effort and at an affordable cost. _** _Request your EXTENDED TRIAL_**_today and understand why Mosyle is everything you need to work with Apple_. * * * This week, I sit down with Ananay Arora, founder and CEO of OpenHack, a Y Combinator startup building an “always-on AI security engineer” for finding vulnerabilities on Mac (and everywhere else). We get into how it works, what’s going on with Apple’s Security Bounty Program, and how to land your first CVE. I hope you enjoy! more…

Aries ( 21 March – 19 April )  – The month ofOctober marks the end of a difficult phase, as you decide to move ahead, leaving unpleasant experiences behind. While this transition may see…

arXiv abstract link

Nikesh Arora est l’homme que les PDG des entreprises du Fortune 500 et du secteur tech appellent quand l’IA devient inquiétante. — En avril, Nikesh Arora a appliqué une méthode simple

AI models that can find and exploit vulnerabilities in minutes rather than days upend cybersecurity defense, creating both existential risk and generational market opportunity for platform providers like Palo Alto Networks.

Thomas Detry speelt deze week de 25e editie van de Alfred Dunhill Links Championship, verspreid over de Old Course van St Andrews, Carnoustie en Kingsbarns. De Belg vormt in de pro-am een koppel met techondernemer Nikesh Arora en treft in zijn eerste ronde onder meer major-winnaar Brooks Koepka. Detry komt naar het historische toernooi met het momentum van een twintigste plaats op de Open de France.

Allie Garfinkle / Fortune: A profile of Palo Alto Networks CEO Nikesh Arora, who has overseen revenue growth from $2.27B in FY2018 to $11.48B in FY2026 as AI reshapes cybersecurity  —  Nikesh Arora is the guy CEOs of Fortune 500 and tech companies call when AI gets scary.  —  In April, Nikesh Arora applied a simple …

Allie Garfinkle / Fortune: **A profile of Palo Alto Networks CEO Nikesh Arora, who has overseen revenue growth from $2.27B in FY2018 to $11.48B in FY2026 as AI reshapes cybersecurity** — Nikesh Arora is the guy CEOs of Fortune 500 and tech companies call when AI gets scary. — In April, Nikesh Arora applied a simple …

**Authors:** Atul Singh Arora, Shantanav Chakraborty, Alexandru Cojocaru, Sreyas Saminathan, Uttam Singh We prove maximal separations: $n$-qubit systems can have $Θ(n)$ ergotropy, while every efficient process extracts negligible work, even for Hamiltonians consisting of single-qubit terms. We establish an unconditional existential separation and give an explicit construction in the random oracle model. Assuming the existence of quantum-secure pseudorandom functions, this separation extends to the plain model. This work uncovers an important connection between ergotropy and the complexity of catalytic computation---computation where auxiliary qubits must be finally restored to their initial state. Relative to a random oracle, we establish relational and decision problems that: (i) can be solved efficiently with $λ$ catalysts; but (ii) cannot be solved by any algorithm with $cλ$ catalysts, for any $c<1$. We show this by proving query lower bounds for quantum-space bounded algorithms. As a consequence, for computational ergotropy, catalysts prove to be surprisingly powerful---there is a family of Hamiltonians and states for which catalysts enable efficient extraction of the full $Θ(n)$ ergotropy, while every efficient non-catalytic process extracts negligible work. Furthermore, catalysts also allow us to introduce and instantiate the notion of pseudoergotropy---analogous to pseudorandomness. On the other hand, we show catalysts do not change (information-theoretic) ergotropy. Finally, our work also sheds light on the classical aspect of the problem. First, most of our constructions rely on classical states and Hamiltonians and therefore imply analogous results for classical ergotropy. Second, we show that certain proof of quantumness protocols can be used to generically separate classical and quantum catalytic ergotropy.

In August, we released Dogwood, an open source governance language for agents and their actions. Dogwood policies specify which actions an agent may take and under what conditions. A key feature of the language is support for temporal conditions, which let a policy refer to an agent’s past actions and their outcomes. A Dogwood policy [...]