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  • Phrack

    2 DAYS AGO

    1

    Phrack

    Phrack is legendary. It is the oldest, and arguably the most prestigious, underground hacking magazine in the world. It started in 1985 and is still running today. In this episode we interview the Phrack staff to hear some stories about what it’s like running a hacker magazine for 40 years. phrack.org SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. Support for this show comes from Drata. Drata is the trust management platform that uses AI-driven automation to modernize governance, risk, and compliance, helping thousands of businesses stay audit-ready and scale securely. Learn more at drata.com/darknetdiaries. This episode is sponsored by Meter, the company building networks from the ground up. Meter delivers a complete networking stack - wired, wireless, and cellular - in one solution that’s built for performance and scale. Alongside their partners, Meter designs the hardware, writes the firmware, builds the software, manages deployments, and runs support. Learn more at meter.com.

    2 days ago

    •
    45 min
  • CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    02/05/2020

    2

    CURL: Contrastive Unsupervised Representations for Reinforcement Learning

    According to Yann Le Cun, the next big thing in machine learning is unsupervised learning. Self-supervision has changed the entire game in the last few years in deep learning, first transforming the language world with word2vec and BERT -- but now it's turning computer vision upside down.  This week Yannic, Connor and I spoke with one of the authors, Aravind Srinivas who recently co-led the hot-off-the-press CURL: Contrastive Unsupervised Representations for Reinforcement Learning alongside Michael (Misha) Laskin. CURL has had an incredible reception in the ML community in the last month or so. Remember the Deep Mind paper which solved the Atari games using the raw pixels? Aravind's approach uses contrastive unsupervised learning to featurise the pixels before applying RL. CURL is the first image-based algorithm to nearly match the sample-efficiency and performance of methods that use state-based features! This is a huge step forwards in being able to apply RL in the real world.  We explore RL and self-supervision for computer vision in detail and find out about how Aravind got into machine learning.  Original YouTube Video: https://youtu.be/1MprzvYNpY8 Paper: CURL: Contrastive Unsupervised Representations for Reinforcement Learning Aravind Srinivas, Michael Laskin, Pieter Abbeel https://arxiv.org/pdf/2004.04136.pdf Yannic's analysis video: https://www.youtube.com/watch?v=hg2Q_O5b9w4  #machinelearning #reinforcementlearning #curl #timscarfe #yannickilcher #connorshorten Music credit; https://soundcloud.com/errxrmusic/in-my-mind

    02/05/2020

    •
    1h 15m
  • #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

    4 DAYS AGO

    3

    #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

    Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch). Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep490-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/ai-sota-2026-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact SPONSORS: To support this podcast, check out our sponsors & get discounts: Box: Intelligent content management platform. Go to https://box.com/ai Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex UPLIFT Desk: Standing desks and office ergonomics. Go to https://upliftdesk.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex CodeRabbit: AI-powered code reviews. Go to https://coderabbit.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:39) – Sponsors, Comments, and Reflections (16:29) – China vs US: Who wins the AI race? (25:11) – ChatGPT vs Claude vs Gemini vs Grok: Who is winning? (36:11) – Best AI for coding (43:02) – Open Source vs Closed Source LLMs (54:41) – Transformers: Evolution of LLMs since 2019 (1:02:38) – AI Scaling Laws: Are they dead or still holding? (1:18:45) – How AI is trained: Pre-training, Mid-training, and Post-training (1:51:51) – Post-training explained: Exciting new research directions in LLMs (2:12:43) – Advice for beginners on how to get into AI development & research (2:35:36) – Work culture in AI (72+ hour weeks) (2:39:22) – Silicon Valley bubble (2:43:19) – Text diffusion models and other new research directions (2:49:01) – Tool use (2:53:17) – Continual learning (2:58:39) – Long context (3:04:54) – Robotics (3:14:04) – Timeline to AGI (3:21:20) – Will AI replace programmers? (3:39:51) – Is the dream of AGI dying? (3:46:40) – How AI will make money? (3:51:02) – Big acquisitions in 2026 (3:55:34) – Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta (4:08:08) – Manhattan Project for AI (4:14:42) – Future of NVIDIA, GPUs, and AI compute clusters (4:22:48) – Future of human civilization

    4 days ago

    •
  • The future of our memories

    6 DAYS AGO

    4

    The future of our memories

    From creating “synthetic” memories to reviving ruined monuments, tech no longer simply stores the past — it can enhance it. This hour, we explore new ways to capture, share and even recreate our past. Guests include technologist Pau Aleikum Garcia, cartoonist Amy Kurzweil and digital archaeologist Chance Coughenour. (Original broadcast date: January 24, 2025) TED Radio Hour+ subscribers now get access to bonus episodes, with more ideas from TED speakers and a behind the scenes look with our producers. A Plus subscription also lets you listen to regular episodes (like this one!) without sponsors. Sign-up at plus.npr.org/ted. Learn more about sponsor message choices: podcastchoices.com/adchoices NPR Privacy Policy

    6 days ago

    •
    50 min
  • MoD

    20 JAN

    5

    MoD

    Legion of Doom, step aside. There’s a new elite hacker group in town, and they’re calling themselves Masters of Deception (MoD). With tactics that are grittier and more sophisticated than those of the LoD, MoD has targeted high-profile entities and left an indelible mark on the internet. This is part 2 of the LoD/MoD series. Part 1 is episode 168: “LoD”. SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. This show is sponsored by Red Canary. Red Canary is a leading provider of Managed Detection and Response (MDR), helping nearly 1,000 organizations detect and stop threats before they cause harm. With a focus on accuracy across identities, endpoints, and cloud, we deliver trusted security operations and a world-class customer experience. Learn more at redcanary.com. This show is sponsored by Maze. Maze uses AI agents to triage and remediate cloud vulnerabilities by figuring out what’s actually exploitable, not just what’s theoretically risky. They remove the noise, prioritize vulns that matter, and manage remediation, so your team stops wasting time on meaningless vulns. Visit MazeHQ.com/darknet for more information. Sources Book: Masters of Deception Book: The Hacker Crackdown https://content.time.com/time/subscriber/article/0,33009,982254-1,00.html https://www.nytimes.com/1995/01/14/nyregion/reprogramming-convicted-hacker-his-line-friends-phiber-optik-virtual-hero.html https://www.gutenberg.org/cache/epub/101/pg101-images.html https://phrack.org/issues/31/5 https://www.thisamericanlife.org/2/small-scale-sin

    20 Jan

    •
    1h 7m
  • LoD

    6 JAN

    6

    LoD

    The Legion of Doom (LoD) wasn’t just a “hacker group”, it captured the essence of underground hacking in the 80s/90s. BBSes, phreaking, rival crews, and the crackdowns that changed everything. From those humble beginnings came a legacy that still echoes through modern security culture today. This is part 1 of the LoD/MoD saga. Part 2 is episode 169: “MoD”. SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com. This show is sponsored by Rippling. Rippling is the unified platform for Global HR, Payroll, IT, and Finance. They’ve helped millions replace their mess of cobbled-together tools with one system designed to give leaders clarity, speed, and control. With Rippling, you can run your entire HR, IT, and Finance operations as one, or pick and choose the products that best fill the gaps in your software stack. Learn more rippling.com/darknet. This show is sponsored by Meter, the company building networks from the ground up. Meter delivers a complete networking stack - wired, wireless, and cellular - in one solution that’s built for performance and scale. Meter’s full-stack solution covers everything from first site survey to ongoing support, giving you a single partner for all your connectivity needs. Go to meter.com/darknet to book a demo now! Sources Book: Masters of Deception (https://amzn.to/4q3O0gJ) Book: The Hacker Crackdown (https://amzn.to/3N4bovY)

    6 Jan

    •
    1h 17m
  • TikTok

    08/04/2021

    7

    TikTok

    Tiktok: qué es y nuestra opinión

    08/04/2021

    •
    9 min
  • 961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey

    27 JAN

    8

    961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey

    Dr. Vijoy Pandey returns to the show to talk to Jon Krohn about Cisco’s work to advance medicine and mitigate the impact of climate change with distributed artificial super-intelligence. Dr. Vijoy Pandey believes in a future where humans and AI agents work together to tackle our biggest challenges. For this to happen, we will need to have multi-agent systems and open-source platforms that let agents work together, avoiding the phenomenon of AI agents being “isolated geniuses” unable to collaborate. He elaborates on what Cisco is doing to close this gap. This episode is brought to you by the⁠ ⁠⁠Dell⁠⁠⁠, by⁠ ⁠⁠Intel⁠⁠⁠, by ⁠Fabi⁠ and by ⁠⁠⁠⁠Scaylor⁠. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/961⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (03:55) A definition of artificial super-intelligence (14:03) Distributed learning through Cisco’s Outshift (21:29) The semantic protocols for sharing intent in a distributed artificial super-intelligence framework (37:44) The cognitive memory fabric of the distributed artificial super-intelligence framework (46:24) Using cognitive engines as part of the distributed artificial super-intelligence framework

    27 Jan

    •
    1h 9m
  • Episode #80 - Year in Review and Predictions for 2026 with Jen Lehner

    2 JAN

    9

    Episode #80 - Year in Review and Predictions for 2026 with Jen Lehner

    This podcast episode features Jen Lehner, an AI strategist and consultant, and we review the accuracy of our tech and social media predictions for 2025 while looking ahead to the emerging trends of 2026. The conversation covers the ethical dilemmas of AI video generation, viral marketing successes like the "death" of the Duolingo mascot, and the potential for AI agents to handle personal tasks like grocery shopping and app building. (3:00) - Reviewing 2025 Predictions: Jen Lehner reflects on her successful predictions regarding AI content, wearables, and agentic AI, while Daniel notes that while he was wrong about YouTube Shorts replacing TikTok, he correctly identified the rise of "social media burnout" as a major topic.(10:00) - The Sora Controversy and AI Ethics: A major discussion point is the "fail" of AI video tools like Sora allowing users to recreate deceased individuals (e.g., Martin Luther King or Elvis), raising concerns about legacy, dignity, and the lack of consent from families.(18:00) - "Vibe Coding" with Lovable: Daniel and Jen Lehner discuss Lovable, an app-building tool that allows users to create functional apps simply by describing them—a concept known as "vibe coding". Daniel shares how he used it to build a camera app to help him take better photos of his wife.(24:00) - The "Death" of Duo the Owl: The hosts break down Duolingo’s viral marketing campaign involving the staged "death" and community-led resurrection of its mascot, which successfully drove 1.5 million users back into the app to save him.(31:00) - Wearable Tech & Privacy Struggles: Jen Lehner describes using AI digital notetakers that record and summarize entire days of conversations. However, she notes the ethical "guilt" of not being able to inform every person she encounters, such as a pharmacist, that they are being recorded.(35:00) - 2026 Social Media Predictions: Jen Lehner predicts an explosion in live-selling auctions via apps like Whatnot, where young sellers are already making millions through fast-paced, high-scarcity sneaker sales.(37:00) - The Analog Shift: Daniel’s wife, Lauren, suggests a counter-trend for 2026: a move toward "analog" social experiences where people host "no phone parties" to prioritize raw, genuine connection over glamorized digital lifestyles.(38:00) - The Future of AI Agents & Robots: Jen Lehner anticipates the rise of agents that can autonomously order groceries via Instacart and home robots capable of tasks like unloading a dishwasher.(40:00) - OpenAI’s Move into Hardware: Daniel highlights OpenAI’s collaboration with designer Johnny Ive to create a computing experience intended to be "less socially disruptive than the iPhone".(44:00) - AI in Podcasting: Looking at 2026, Jen Lehner predicts the rise of AI personas or "synthetic voices" that will source, curate, and record entire podcast episodes autonomously.Links: Jen Lehner: https://jenlehner.com/ Front Row Daily Briefing: https://jenlehner.com/flash/

    2 Jan

    •
    48 min
  • Na grande virada do varejo,  a IA é diferencial

    18 JAN

    10

    Na grande virada do varejo, a IA é diferencial

    Direto da NRF 2026, a maior feira do varejo global, Maurício Andrade de Paula, diretor de bens de consumo e varejo na Capgemini, detalha as tendências do ano e explica por que 2026 é o ano em que saber usar Inteligência Artificial será diferencial competitivo para as empresas, e o que deve mudar, na prática, para o setor. Mas não se engane, tecnologia não basta. Confiança do consumidor, experiências relevantes e transparência das marcas serão cruciais para o sucesso. Confira a conversa. Links do episódio A página do LinkedIn de Maurício Andrade de Paula O estudo "What Matters to Today’s Consumer 2026", da Capgemini O livro "Hospitalidade Irracional: o Extraordinário Poder de dar às Pessoas Mais do que Elas Esperam", de  Will Guidara, com tradução de Vanessa Schreiner O livro "Faces do Varejo", coletânea de artigos de especialistas brasileiros organizada por Alberto Oyama, Alexandre Luercio e Claudia Bittencourt O livro "Small data: Como Poucas Pistas Indicam Grandes Tendências", de Martin Lindstrom, traduzido por Rodrigo Peixoto     A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital. Visite o site www.theshift.info e assine a newsletter

    18 Jan

    •
    1 hr

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