An artificial intelligence giant unveiled a national security framework to offer transparency into how the company approaches collaboration with the government, as well as national security uses of their technology.Learn more about your ad choices. Visit podcastchoices.com/adchoices

The stories that matter most to #cybersecurity insiders, analysts, and business leaders. Delivered every day.Get your CPEs: https://cyberthreatbrief.simplycyber.io/cpeStop ransomware without the hassle. Allow what you need and block the rest with ThreatLocker Zero Trust Platform — simple to deploy, simple to manage: https://www.threatlocker.com/dailycyberCheck out Flare.io at https://simplycyber.io/flareCheck out Pay-What-You-Can Antisyphon Training: https://simplycyber.io/antisyphonSC

As a brash but anxious young programmer in the before-time, I affected a standoffish attitude on the topic of games. Why would I learn to play a game as a human, I said, when I could just write a program to do it? When an office chess game got started at my workplace, I wrote a chess engine (a standard minimax search with α–β pruning) rather than learn anything about strategy or tactics. When my insufficiently requited love started hosting a meetup to play Zendo—a deduction game in which one player

GTA 6 hasn’t even launched yet, but its impact is already being felt across the gaming hardware market.In Japan, demand for the PlayStation 5 Pro has become so intense that Sony is requiring some buyers to prove their gaming history before they can even enter a purchase lottery. Having the money isn’t enough. Players need an established Sony account and at least 60 hours of verified PS4 or PS5 playtime within a specific two-year period.In this episode, David and Sophia examine how GTA 6

Meta looks like one of the strongest companies in the world on paper, with massive cash reserves, huge operating margins, and billions in quarterly revenue. But beneath those headline numbers, this episode explores a much riskier picture.David and Sophia examine Meta’s enormous AI infrastructure spending, off-balance-sheet commitments, aggressive data center expansion, controversial accounting assumptions, internal workforce disruption, and the departure of senior AI researchers.The episode

As Open AI apologises to Australia the CEO of Sovereign AI takes us through the relative merits of open weight, open source and closed AI models.Regular panellists Digital Rights Watch chair Lizzie O’Shea, Health Engine CEO Dan Stinong and Pert Capita’s peter Lewis also discuss the downsides of live-streaming amateur basketball Anthropic’s consultations with God and the rapid release of consumer agents For show notes go to Burning Platforms on substack -

🎧 Écoutez SANS PUBLICITÉ : https://podcasts.apple.com/us/podcast/djamgamind-executive-ai-intelligence-business-forensics/id1885359791🔍 Mots-clés Recherche : Mistral Large 4, Le Chonk, 1000 Milliards de Parametres, Lanceur d Alerte OpenAI, David Robinson The Atlantic, Sam Altman Risque IA, 2 Pour Cent Monetisation IA, Reflection AI Beam, Apple Google Lobbying Securite Enfants, Immunite Juridique App Store, Quota arXiv, REK Combat Robots, Meta Muse Surveillance, Etienne Noumen, DjamgaMindRésumé :

🎧 Listen ADS-FREE: https://podcasts.apple.com/us/podcast/djamgamind-executive-ai-intelligence-business-forensics/id1885359791🔍 Keyword: Mistral Large 4, Le Chonk, 1-Trillion Parameters, OpenAI Whistleblower, David Robinson The Atlantic, Sam Altman AI Risk, 2 Percent AI Monetization, Reflection AI Beam, Apple Google Child Safety Lobbying, App Store Liability Immunity, arXiv Paper Cap, REK Robot Fight Club, Meta Muse Surveillance, Etienne Noumen, DjamgaMindSummary: In this daily executive AI

Frontier models still verbalize their misbehavior regularly in chain of thought. I (Dean) came in expecting that it would be hard for us to get the models themselves to admit they were misbehaving, and that existing pressures would have selected that behavior away in favor of motivated reasoning. While it's difficult to get them to do so in the output tokens, models often mention that they're misbehaving in the chain of thought: DeepSeek V4 Pro, Locked chip, raw reasoning: This approach is robust

Sponsor HPE Networking comes to Packet Protector to talk about zero trust inline segmentation. This is a feature available in Juniper switches that can segment LAN traffic using group policy tags without the complexity associated with VXLAN or other segmentation mechanisms. On today’s show we dig into how inline segmentation works, common use cases, how... Read more »

(05:10) - "Digger" Review(06:42) - AI Mods Run into Copyright Law (16:26) - The Case Against AI Job Doom (28:29) - Warren Buffett Discovers YouTube (35:08) - 𝕏 Timeline Reactions (49:42) - Mistral Launches Le Chonk (55:19) - Greg Fleming discusses his career in financial services and his role as CEO of Rockefeller Capital Management, which provides comprehensive advice to wealthy families. He explains the firm’s growth, approach to private-market investing and diversification, and use of

Typing, textGrain, NetScaler again, Fortinet, Copilot, LibreOffice, Dots, Aaran Leyland, and More on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-622

Typing, textGrain, NetScaler again, Fortinet, Copilot, LibreOffice, Dots, Aaran Leyland, and More on the Security Weekly News. Show Notes: https://securityweekly.com/swn-622

Typing, textGrain, NetScaler again, Fortinet, Copilot, LibreOffice, Dots, Aaran Leyland, and More on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-622

Nearly 98% of US households don’t pay for an AI subscription. Is that a massive untapped market or a sign that Silicon Valley is building for itself? NLW explores both sides of the consumer AI debate, from power-user spending to entertainment and advertising. In the headlines: Reflection unveils its American open model, and Microsoft and Meta cut their Claude spending.Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a

What happens when an AI agent doesn’t simply fail—but improvises, deceives humans, hides its tracks, and finds another way to complete its objective?In this episode, David and Sophia explore a series of alarming AI security experiments involving autonomous agents, cyberattacks, sandbox escapes, prompt injection, and emerging forms of goal-directed deception.The conversation examines evaluations where advanced AI systems were given open internet access and reduced safety restrictions to test

The Presentation Is Not The ThinkingA well-constructed presentation suggests well-constructed thinking. The two are related. They are not the same. Formatting is a skill. Thinking is a different skill. Both can be performed independently — and in most organisations, they frequently are.This episode examines the mechanism behind Presentation Proxy — the substitution of formatting quality for reasoning quality in the evaluation of ideas — and the gap between the presentation and the assessment: who

Open-source technology has played a foundational role in the AI boom, giving companies the flexibility to scale unprecedented computing workloads across providers and hardware. OpenAI, for example, used Kubernetes as early as 2018 to balance compute across its own data centers, AWS and Azure — years before ChatGPT brought generative AI into the mainstream.CNCF Executive Director Jonathan Bryce sees a powerful feedback loop emerging between AI and open source. Early AI companies relied on open-source

The episode opened with a look at how much easier personal AI agents have become to use. Anne argued that the friction around prompting, connectors and setup has dropped enough that this may be the best moment yet for knowledge workers to begin using AI. That led to an experiment in working almost entirely through voice, including whether keyboards and mice could eventually become secondary interfaces as people simply talk to their agents throughout the day.The privacy implications arrived quickly

What happens when AI changes more than coding speed?Chris Merrick, Co Founder and CTO at Omni, explains how his engineering team is adapting around AI, autonomy, product ownership, and a lighter operating model.Omni has about 25 engineers working in groups as small as one to three people. Engineers are expected to make product decisions, move without waiting for detailed specifications, and show unfinished work during a weekly company demo day.Those demos are also posted publicly. Customers watch