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Scott and Wes dive into Remix 3, exploring how it embraces native web standards like Events, Signals, and Streams to become a truly full-stack framework. They unpack what “LLM-ready,” thin APIs, and a standards-based approach mean for the future of web development. Show Notes 00:00 Welcome to Syntax! 03:21 Uses the platform - native Events, Signals, Streams, Fetch 04:16 Remix 3, Fully Fullstack. 04:57 LLM‑ready + thin APIs 05:53 Brought to you by Sentry.io. 06:18 My previous predictions. 07:44 The value of ‘Standards Based'. 09:13 Component model - JSX/TSX; state = variables; call this.render() 11:56 Adding reactivity to Remix. 15:15 Event‑based architecture - custom events, EventTarget, interactions 20:52 Context & type‑safe access. 22:46 Composing interaction logic within events. 24:25 Signals - AbortSignal to cancel async ops 25:21 Benefits of standards - bring your own tools/libraries Michael Asnong X Post. 26:42 CSS - built‑in CSS prop; Svelte‑like scoping 28:34 Server - Web Request/Response, Web Streams across runtimes 31:23 Frames - async URL‑addressable components with fallbacks 33:07 Tooling - ESM; use Vite or esbuild 34:47 Routing - code‑based named routes 35:57 Questions/Concerns - manual rendering vs reactivity 38:47 URL Pattern API - modern, fast routing foundations 41:33 Sick Picks + Shameless Plugs. Sick Picks Scott: MoCA 2.5 Network Adapter Wes: Bosch Dishwasher Shameless Plugs Scott: Syntax on YouTube. Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads
Ahmad Alfy explains how URLs are state containers, Shrivu Shankar shares how he uses every Claude Code feature, Yusuf Aytas laments how AI broke technical interviews, Wu Xiaoyun tells how he saved TikTok $300k during his internship, and TOON is a new serialization format to save us some LLM tokens.
After all the AI hype is over, one change for Linux will be sticking around; we put it to the test.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:
In this episode, we continue the conversation on how AI is transforming the world of enterprise networking. You'll hear how Cisco approached internal AI adoption with caution and clarity, including the importance of private LLM instances and avoiding shadow AI practices. The group also explores how education, governance, and secure tools are critical for protecting data and building trust in AI systems. From prompt injection attacks to certification updates, the episode breaks down how Cisco is evolving its learning paths and certification programs (like CCNA, DevNet, and CCDE) to reflect the skills networking professionals need in an AI-driven future. Whether you're an entry-level learner or a seasoned network engineer, you'll walk away with actionable guidance—and a clear call to get involved, experiment responsibly, and help shape the next era of enterprise networking.
25 years ago today, the PlayStation 2 launched in the US. I recount my lonely camping out at a local store that nobody knew had PS2's, only to get a PS2 that didn't work. Once Upon A Katamari is a new entry in my favorite game series, and reviewers love it but there's an aspect of it I'm not as much a fan of. Microsoft has told the Xbox division that they must make 30% profit margins, something that no game company has been able to do. This explains why Xbox has made the decisions they have made for the past year. Then we talk about how Microsoft has opted all users of the Xbox Game Bar on PC into a Microsoft Copilot feature that periodically takes screenshots of your gameplay and sends it to their AI for learning - even if it's a game you're developing and under NDA.
I am Dominic Bowen, and I am the host of the International Risk Podcast.At 7am on the 15th of August, after ten days of marathon sessions and a final overtime session that stretched more than 24 hours, the Chair of the UN Intergovernmental Negotiating Committee on Plastic Pollution formally adjourned INC-5.2. What was meant to be the final round of talks on a global plastic treaty ended not with a breakthrough but with collapse. Despite two draft texts, delegates left Geneva without a consensus on a legally binding agreement. The deadlock revealed stark fault lines: on one side, a majority of countries demanding binding rules to tackle plastics across their full lifecycle — turning off the tap at the source. On the other hand, a minority of petrochemical and oil-producing states are pushing for a nationally determined approach, focused narrowly on recycling and waste management after production. The result? Paralysis by consensus: a process where the need for unanimity allowed a small group of obstructionists to stall the world's response to a rapidly escalating crisis.Today, we're joined first by Christina Dixon, Ocean Campaign Leader at the Environmental Investigation Agency. For several years, Christina and her team at EIA have been pushing for a global treaty to tackle plastic pollution and she was present at the UN Environment Assembly in 2002 when nations adopted the resolution to begin negotiations on a legally binding treaty to end plastic pollution. Christina has more than 15 years of experience driving change through policy and strategic communication, including her previous role as Global Campaign Lead at World Animal Protection, and holds degrees in both Broadcast Journalism and Media and Communications. Alongside Christina, we are joined by Alexandra Harrington, an international law scholar and practitioner specialising in international organisations, environmental and sustainable development law, corporate social responsibility, transitional justice and treaty regimes. She is Chair of the Plastic Pollution Task Force at the International Union for Conservation of Nature (IUCN). She has published extensively, with recent books inlcuding International Law and Global Governance: Treaty Regimes and Sustainable Development Goals Interpretation. She holds a doctoral degree in civil law, in addition to a JD and LLM.The International Risk Podcast brings you conversations with global experts, frontline practitioners, and senior decision-makers who are shaping how we understand and respond to international risk. From geopolitical volatility and organised crime, to cybersecurity threats and hybrid warfare, each episode explores the forces transforming our world and what smart leaders must do to navigate them. Whether you're a board member, policymaker, or risk professional, The International Risk Podcast delivers actionable insights, sharp analysis, and real-world stories that matter.Dominic Bowen is the host of The International Risk Podcast and Europe's leading expert on international risk and crisis management. As Head of Strategic Advisory and Partner at one of Europe's leading risk management consulting firms, Dominic advises CEOs, boards, and senior executives across the continent on how to prepare for uncertainty and act with intent. He has spent decades working in war zones, advising multinational companies, and supporting Europe's business leaders. Dominic is the go-to business advisor for leaders navigating risk, crisis, and strategy; trusted for his clarity, calmness under pressure, and ability to turn volatility into competitive advantage. Dominic equips today's business leaders with the insight and confidence to lead through disruption and deliver sustained strategic advantage.Tell us what you liked!
Crosspost from my blog. Synopsis When we share words with each other, we don't only care about the words themselves. We care also—even primarily—about the mental elements of the human mind/agency that produced the words. What we want to engage with is those mental elements. As of 2025, LLM text does not have those elements behind it. Therefore LLM text categorically does not serve the role for communication that is served by real text. Therefore the norm should be that you don't share LLM text as if someone wrote it. And, it is inadvisable to read LLM text that someone else shares as though someone wrote it. Introduction One might think that text screens off thought. Suppose two people follow different thought processes, but then they produce and publish identical texts. Then you read those texts. How could it possibly matter what the thought processes were? All you interact with is the text, so logically, if the two texts are the same then their effects on you are the same. But, a bit similarly to how high-level actions don't screen off intent, text does not screen off thought. How [...] ---Outline:(00:13) Synopsis(00:57) Introduction(02:51) Elaborations(02:54) Communication is for hearing from minds(05:21) Communication is for hearing assertions(12:36) Assertions live in dialogue --- First published: November 1st, 2025 Source: https://www.lesswrong.com/posts/DDG2Tf2sqc8rTWRk3/llm-generated-text-is-not-testimony --- Narrated by TYPE III AUDIO.
Alex Raccuglia (Techno Pillz / The Morning Rant) si sfoga in auto sul bug di sviluppo che gli ha rovinato la mattina e racconta il suo piccolo esperimento di ottimizzazione del codice: da un problema con la sua app Transcriber su macOS alla creazione di FastArray, una struttura Swift che combina array e dictionary per ricerche molto più veloci. Tra aneddoti di vita quotidiana, AI helpers e riflessioni sul valore del lavoro e del processo creativo.Cosa trovi in questa puntata- Rapida segnalazione di un bug su Transcriber che interrompe la transcodifica audio (macOS 15.x).
Coraz częściej zamiast uzywać wyszukiwarki Google wpisujemy pytanie do Chata GPT. Co zatem zrobić żeby Chatgpt polecał twoją firmę? W jaki sposób dodać firme do ChataGPT? Jak pozycjonować usługi lokalne w ChatGPT? O tym wszystkim w najnowszym odcinku podcastu.
Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector. The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design. The research can be found here: When AIOps Become “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation Learn more about your ad choices. Visit megaphone.fm/adchoices
Talk Python To Me - Python conversations for passionate developers
Today, we're talking about building real AI products with foundation models. Not toy demos, not vibes. We'll get into the boring dashboards that save launches, evals that change your mind, and the shift from analyst to AI app builder. Our guide is Hugo Bowne-Anderson, educator, podcaster, and data scientist, who's been in the trenches from scalable Python to LLM apps. If you care about shipping LLM features without burning the house down, stick around. Episode sponsors Posit NordStellar Talk Python Courses Links from the show Hugo Bowne-Anderson: x.com Vanishing Gradients Podcast: vanishinggradients.fireside.fm Fundamentals of Dask: High Performance Data Science Course: training.talkpython.fm Building LLM Applications for Data Scientists and Software Engineers: maven.com marimo: a next-generation Python notebook: marimo.io DevDocs (Offline aggregated docs): devdocs.io Elgato Stream Deck: elgato.com Sentry's Seer: talkpython.fm The End of Programming as We Know It: oreilly.com LorikeetCX AI Concierge: lorikeetcx.ai Text to SQL & AI Query Generator: text2sql.ai Inverse relationship enthusiasm for AI and traditional projects: oreilly.com Watch this episode on YouTube: youtube.com Episode #526 deep-dive: talkpython.fm/526 Episode transcripts: talkpython.fm Theme Song: Developer Rap
Today we are joined by Dario Pasquini, Principal Researcher at RSAC, sharing the team's work on WhenAIOpsBecome “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation. A first-of-its-kind security analysis showing that LLM-driven AIOps agents can be tricked by manipulated telemetry, turning automation itself into a new attack vector. The researchers introduce AIOpsDoom, an automated reconnaissance + fuzzing + LLM-driven telemetry-injection attack that performs “adversarial reward-hacking” to coerce agents into harmful remediations—even without prior knowledge of the target and even against some prompt-defense tools. They also present AIOpsShield, a telemetry-sanitization defense that reliably blocks these attacks without harming normal agent performance, underscoring the urgent need for security-aware AIOps design. The research can be found here: When AIOps Become “AI Oops”: Subverting LLM-driven IT Operations via Telemetry Manipulation Learn more about your ad choices. Visit megaphone.fm/adchoices
Open Tech Talks : Technology worth Talking| Blogging |Lifestyle
Open Tech Talks welcomes Lirone Glikman, author of The Super Connectors Playbook, global speaker, and relationship-building strategist. We dig into practical ways founders, students, and leaders can build authentic relationships, present with clarity, and sustain a personal brand without sounding salesy, especially now that AI makes everyone's writing look the same. What's inside Online vs. in-person connection: generational differences, when a DM beats a coffee, and why Asia still loves business cards. Founders' common gaps: turning a product story into a people story; shifting from "it works" to "it resonates." Presenting without fluff: tailoring your story for investors, customers, and connectors, while keeping it true. The 90-List cadence: a simple routine for staying top-of-mind authentically. Anxiety is normal: why most people feel it, and how to start anyway. Introvert strength: listening, asking better questions, and using silence as a feature. Personal branding at work: define the promise others can rely on; show it with facts, data, and actions. Authenticity in the LLM age: keep your voice, your phrasing, your structure; let AI edit - not author - you. Share wins without bragging: swap claims for evidence and we-language. Using AI to deepen, not replace, connection: research context, adapt tone, draft follow-ups, keep the spark human. Episode # 172 Today's Guest: Lirone Glikman, Founder, The Human Factor She is a globally recognized expert, keynote speaker, and best-selling author specializing in business relationships, personal branding, and global business development. Website: LironeGlikman What Listeners Will Learn: A repeatable method to build and maintain high-value relationships in minutes a day. How to package your story differently for investors, clients, and allies, without losing your core. Practical ways to keep an authentic voice when AI tools standardize language. How introverts can use their edge to win more conversations and opportunities. A simple framework to share achievements credibly (facts → data → actions) Resources: LironeGlikman
In this closing keynote from a16z's Runtime conference, General Partner Erik Torenberg speaks with our firm's cofounders, Marc Andreessen and Ben Horowitz on highlights from throughout the conference, the current state of LLM capabilities, and why despite huge capex, AI is not a bubble. Resources:Follow Marc on X: https://x.com/pmarcaFollow Ben on X: https://x.com/bhorowitz Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Three Buddy Problem - Episode 70: Dave Aitel from OpenAI's technical staff joins the buddies to discuss the just-launched Aardvark, OpenAI's agentic “security researcher” that claims to read code, finds bugs, validates exploits, and ships patches. We press him on where LLMs beat fuzzers, privacy boundaries, human-in-the-loop realities, SDLC budgets, pen-test cadence, and the zero-day economy. Plus, L3 Harris/Trenchant exec pleads guilty to selling exploits to Russian brokers, Kaspersky catches the return of HackingTeam using Chrome zero-day exploit chain, and news of a proposed law in Russia to force researchers to report vulnerabilities first to goverment agencies. Cast: Dave Aitel (https://www.linkedin.com/in/daveaitel/) (Technical Staff, OpenAI), Juan Andres Guerrero-Saade (https://twitter.com/juanandres_gs), Ryan Naraine (https://twitter.com/ryanaraine) and Costin Raiu (https://twitter.com/craiu).
How can you ever know whether an LLM is safe to use? Even self-hosted LLM systems are vulnerable to adversarial prompts left on the internet and waiting to be found by system search engines. These attacks and others exploit the complexity of even seemingly secure AI systems. In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Schulker and Matthew Walsh, both senior data scientists in the SEI's CERT Division, sit down with Thomas Scanlon, lead of the CERT Data Science Technical Program, to discuss their work on System Theoretic Process Analysis, or STPA, a hazard-analysis technique uniquely suitable for dealing with AI complexity when assuring AI systems.
Dan Norcross helps landlords, investors, and agents across Cheshire and the North West maximise property Income. There is hassle-free income and exceptional returns through expert property management, guaranteed rent, and serviced accommodation solutions. Tune into episode 499 of The Next 100 Days podcast to get the insights from Dan Norcross.Summary of PodcastIntroductions and backgroundKevin and Graham welcome Dan Norcross to the podcast. Dan introduces himself as a property entrepreneur who has been in the business for less than a year. He has already built up a portfolio of 6 rental properties. He explains that he is focused on the "rent to serviced accommodation" model. This provides short-term housing for contractors working on a major construction project in the local area.Scaling the rent to serviced modelDan discusses how he has been able to scale his rent to serviced model quickly. He leverages investor financing to acquire additional properties. He explains the economics of the model, noting that he is able to generate around £1,000-£2,000 per month in profit per property. Dan also shares his plans to expand into other property investment strategies like title splits and purchase lease options.Attracting investor capitalDan describes how he has been able to raise significant investor capital, around £400,000 over the past 6 months, to fund his various property deals. He discusses his approach to pitching deals and structuring the investments to provide attractive returns for his investors, often in the 30-50% range.Diversifying into larger, more complex dealsDan shares that he is now looking to take on larger, more complex property deals, including a title split project on a block of flats in Devon. He explains the mechanics of the title split strategy and how it can add significant value. Dan also discusses a purchase lease option he is pursuing on a hotel in Scotland, which will involve raising £140,000 from investors.Mitigating risks and ensuring business continuityKevin raises the question of what would happen if something were to happen to Dan, noting that he is a single point of failure in the business. Dan acknowledges this as a potential risk and agrees that he should consider putting safeguards in place, such as partnering with a management firm to ensure business continuity in the event of an unexpected absence.Recap and closing thoughtsGraham and Kevin reflect on the interesting and innovative property investment strategies that Dan has shared, noting that it has opened their eyes to new models beyond the traditional buy-to-let approach. They express admiration for Dan's ability to structure win-win deals that benefit investors, tenants, and himself, and wish him continued success in his property ventures.The Next 100 Days Podcast Co-HostsGraham ArrowsmithGraham founded Finely Fettled ten years ago to help business owners and marketers market to affluent and high-net-worth customers. He's the founder of MicroYES, a Partner for MeclabsAI, where he introduces AI Agents that you can talk to, that increase engagement, dwell time, leads and conversions. Now, Graham is offering Answer Engine Optimisation that gets you ready to be found by LLM search.Kevin ApplebyKevin specialises in finance transformation and implementing...
Acesta este versiunea audio - adaptată - a unui nou Newsletter UPDATE 1.1 -> cele mai importante știri din universul digital-tech din luna septembrie 2025, din perspectiva României. Selecția știrilor e realizată de Paul Alexandru, editarea și coordonarea ambelor versiuni (text & audio) de Marian Hurducaș - tot lui îi aparține și vocea. Producția audio semnată de Oliver Simionescu. Poți da subscribe newsletterului Update 1.1 pe upgrade100.com/subscribe._________>>> Newsletter IQ Digital: ABONARE, AICI _________1. Preview pentru această ediție: _________În această ediție vorbim despre cum arată viitorul muncii, ce LLM-uri lansează liderii tech din China, cum progresează tehnologiile medicale, cum ajung tinerii la dependență digitală, ce tocător folosește Sam Altman pentru banii investitorilor, câți bani poate să mai facă Elon, cum au schimbat marketplace-urile asiatice regulile vânzării online, cine calcă în picioare drepturile de autor și cum ajung cripto-criminalii să fie grațiați. Și bineînțeles, pe ici, pe colo o să-ți mai spunem și ce alte chestii am mai făcut noi la Upgrade 100.
This interview was recorded at GOTO Copenhagen 2024.https://gotocph.comDaniel Terhorst-North - Originator of Behavior Driven Development (BDD) & Principal at Dan North & AssociatesKevlin Henney - Consultant, Programmer, Keynote Speaker, Technologist, Trainer & WriterRESOURCESDanielhttps://bsky.app/profile/tastapod.comhttps://twitter.com/tastapodhttps://www.linkedin.com/in/tastapodhttps://github.com/tastapodhttps://mastodon.social/@tastapodhttp://dannorth.net/blogKevlinhttps://bsky.app/profile/kevlin.bsky.socialhttps://about.me/kevlinhttps://twitter.com/KevlinHenneyhttps://linkedin.com/in/kevlinhttps://instagram.com/kevlin.henneyhttps://kevlinhenney.medium.comLinkshttps://jaoo.dk/jaoo2004/index2.jsphttps://jaoo.dk/archivesRECOMMENDED BOOKSJez Humble & David Farley • Continuous Delivery • https://amzn.to/452ZRkyNicole Forsgren, Jez Humble & Gene Kim • Accelerate • https://amzn.to/442Rep0Kevlin Henney & Trisha Gee • 97 Things Every Java Programmer Should Know • https://amzn.to/3kiTwJJKevlin Henney • 97 Things Every Programmer Should Know • https://amzn.to/2Yahf9UHenney & Monson-Haefel • 97 Things Every Software Architect Should Know • https://amzn.to/3pZuHsQGojko Adzic • Specification by Example • https://amzn.to/44uqT6zInspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!
Send us a text- On-Demand Programme Link - https://mailchi.mp/bb2a7b851246/kairos-centreSex Addiction is different to Porn Addiction. Sex & Porn Addiction are different to Love Addiction. They all get set up in 3 ways:1. Opportunity: Material accessed too early in childhood development2. Trauma: Just as it says on the label of the can! But make trauma age-related and its impact on the immature developing brain, not what is going on in wars between Russia & Ukraine, Israel & Hamas3. Insecure Attachment: A disruption in the early years bonding between the child and main caregiversDefinition of sex addiction: A pattern of sexual behaviours which pre-occupy your thoughts and are out of control. You cannot stay stopped for a sustainable period or consistently and it has harmful consequences and the behaviour serves a function in your life and it is used primarily to anaesthetize some negative feeling state. (The important criteria which makes it an addiction, rather than a love of sex, is that it serves a function). Love Addiction: We all want love and affection and to feel special to at least one person. We need attachment and instinctively seek connection, especially romantic connection. There is nothing dysfunctional about wanting love and affection and connection.Love addiction, however, is a compulsive, chronic craving and/or pursuit of romantic love in an effort to get our sense of security and worth from another person. During infatuation we believe we have that security only to be disappointed and empty again once the intensity fades. The negative consequences can be severe and yet the love addict continues to hang on to the belief that true love will fix everything.Therefore, they eventually get back up after the hurt of rejection and try the chase again and again, even when love from at least one other, is in front of them. Caused by “Attachment”, mostly set up in childhood, it seeks to fill a perceived void, that will never actually be filled.We all want love and affection and to feel special to at least one person. We need attachment and we instinctively seek connection, especially romantic connection. There is nothing dysfunctional about wanting love, affection and connection.There is a difference between a Compulsion and an Addiction, even if the journey to recovery is the same. Here is a link to my whiteboard video to help better understand all of those distinctions - https://youtu.be/Sd_28nqNK1AGet some help from The Kairos Centre. See what you cannot see. Begin to change that which you begin to better understand.Help someone: https://igg.me/at/ThekairosCentreHelp is here for you: bit.ly/pornaddictionhelpGary McFarlane (BA, LLM, Dip, Certs), Accredited EMDR Practitioner.Keywords:sex addiction, addicted, sex counseling, partner, porn addiction, recovery, sex drive, sex addiction recovery, therapist, therapy, talk show, sex therapy, podcast, sobriety, counseling, relationships, relationship counseling, relationship advice, addiction, couples, relationship therapy, couples therapy, sex therapist, online counseling, emdr therapy, emdr, sex therapy, addiction, conflict management, love addiction, love addiction therapy, behavior, marriage, marriage advice, psychology, codependency, sex life, neuroscience, sex ed, sober, sobriety, sexual dysfunction, relationship issues, sex coach, sexual, sexual trauma, trauSupport the show
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
AI Daily Rundown: October 31, 2025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIListen at https://podcasts.apple.com/us/podcast/ai-daily-news-rundown-amazon-ceo-says-layoffs-were/id1684415169?i=1000734511393In Today's edition:
Can an AI truly care about your feelings—or is emotional intelligence in machines just the most sophisticated form of manipulation? Dr. Alan Cowen of Hume AI joins the crew to unpack the promise and peril of emotionally adept bots, even as they're quietly shaping how we connect, seek help, and parent in the digital age. Virtual Try On Free Online - AI Clothes Changer | i-TryOn Oreo-maker Mondelez to use new generative AI tool to slash marketing costs OpenAI Moves to Generate AI Music in Potential Rivalry With Startup Suno Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic Microsoft's Mico heightens the risks of parasocial LLM relationships Armed police swarm student after AI mistakes bag of Doritos for a weapon - Dexerto A Definition of AGI OpenAI Finalizes Corporate Restructuring, Gives Microsoft 27% Stake and Technology Access Until 2032 - Slashdot This mom's son was asking Tesla's Grok AI chatbot about soccer. It told him to send nude pics, she says Nvidia Becomes World's First $5 Trillion Company - Slashdot Paris Hilton Has Been Training Her AI for Years How Realistic is OpenAI's 2028 Timeline For Automating AI Research Itself? Tesla's "Mad Max" mode is now under federal scrutiny Zenni's Anti-Facial Recognition Glasses are Eyewear for Our Paranoid Age Alphabet earnings Meta earnings You Have No Idea How Screwed OpenAI Actually Is Elon Musk's Grokipedia Pushes Far-Right Talking Points AOL to be sold to Bending Spoons for roughly $1.5B Casio's Fluffy AI Robot Squeaked Its Way Into My Heart For the sake of the show, I will suffer this torture -jj Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry A silly little photoshoot with your friends Bugonia Celebrating 25 years of Google Ads The Data Is In: The Washington Post Can't Replace Its "TikTok Guy" Peak screen? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Dr. Alan Cowen Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security zapier.com/machines agntcy.org ventionteams.com/twit
Can an AI truly care about your feelings—or is emotional intelligence in machines just the most sophisticated form of manipulation? Dr. Alan Cowen of Hume AI joins the crew to unpack the promise and peril of emotionally adept bots, even as they're quietly shaping how we connect, seek help, and parent in the digital age. Virtual Try On Free Online - AI Clothes Changer | i-TryOn Oreo-maker Mondelez to use new generative AI tool to slash marketing costs OpenAI Moves to Generate AI Music in Potential Rivalry With Startup Suno Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic Microsoft's Mico heightens the risks of parasocial LLM relationships Armed police swarm student after AI mistakes bag of Doritos for a weapon - Dexerto A Definition of AGI OpenAI Finalizes Corporate Restructuring, Gives Microsoft 27% Stake and Technology Access Until 2032 - Slashdot This mom's son was asking Tesla's Grok AI chatbot about soccer. It told him to send nude pics, she says Nvidia Becomes World's First $5 Trillion Company - Slashdot Paris Hilton Has Been Training Her AI for Years How Realistic is OpenAI's 2028 Timeline For Automating AI Research Itself? Tesla's "Mad Max" mode is now under federal scrutiny Zenni's Anti-Facial Recognition Glasses are Eyewear for Our Paranoid Age Alphabet earnings Meta earnings You Have No Idea How Screwed OpenAI Actually Is Elon Musk's Grokipedia Pushes Far-Right Talking Points AOL to be sold to Bending Spoons for roughly $1.5B Casio's Fluffy AI Robot Squeaked Its Way Into My Heart For the sake of the show, I will suffer this torture -jj Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry A silly little photoshoot with your friends Bugonia Celebrating 25 years of Google Ads The Data Is In: The Washington Post Can't Replace Its "TikTok Guy" Peak screen? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Dr. Alan Cowen Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security zapier.com/machines agntcy.org ventionteams.com/twit
Can an AI truly care about your feelings—or is emotional intelligence in machines just the most sophisticated form of manipulation? Dr. Alan Cowen of Hume AI joins the crew to unpack the promise and peril of emotionally adept bots, even as they're quietly shaping how we connect, seek help, and parent in the digital age. Virtual Try On Free Online - AI Clothes Changer | i-TryOn Oreo-maker Mondelez to use new generative AI tool to slash marketing costs OpenAI Moves to Generate AI Music in Potential Rivalry With Startup Suno Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic Microsoft's Mico heightens the risks of parasocial LLM relationships Armed police swarm student after AI mistakes bag of Doritos for a weapon - Dexerto A Definition of AGI OpenAI Finalizes Corporate Restructuring, Gives Microsoft 27% Stake and Technology Access Until 2032 - Slashdot This mom's son was asking Tesla's Grok AI chatbot about soccer. It told him to send nude pics, she says Nvidia Becomes World's First $5 Trillion Company - Slashdot Paris Hilton Has Been Training Her AI for Years How Realistic is OpenAI's 2028 Timeline For Automating AI Research Itself? Tesla's "Mad Max" mode is now under federal scrutiny Zenni's Anti-Facial Recognition Glasses are Eyewear for Our Paranoid Age Alphabet earnings Meta earnings You Have No Idea How Screwed OpenAI Actually Is Elon Musk's Grokipedia Pushes Far-Right Talking Points AOL to be sold to Bending Spoons for roughly $1.5B Casio's Fluffy AI Robot Squeaked Its Way Into My Heart For the sake of the show, I will suffer this torture -jj Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry A silly little photoshoot with your friends Bugonia Celebrating 25 years of Google Ads The Data Is In: The Washington Post Can't Replace Its "TikTok Guy" Peak screen? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Dr. Alan Cowen Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security zapier.com/machines agntcy.org ventionteams.com/twit
Can an AI truly care about your feelings—or is emotional intelligence in machines just the most sophisticated form of manipulation? Dr. Alan Cowen of Hume AI joins the crew to unpack the promise and peril of emotionally adept bots, even as they're quietly shaping how we connect, seek help, and parent in the digital age. Virtual Try On Free Online - AI Clothes Changer | i-TryOn Oreo-maker Mondelez to use new generative AI tool to slash marketing costs OpenAI Moves to Generate AI Music in Potential Rivalry With Startup Suno Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic Microsoft's Mico heightens the risks of parasocial LLM relationships Armed police swarm student after AI mistakes bag of Doritos for a weapon - Dexerto A Definition of AGI OpenAI Finalizes Corporate Restructuring, Gives Microsoft 27% Stake and Technology Access Until 2032 - Slashdot This mom's son was asking Tesla's Grok AI chatbot about soccer. It told him to send nude pics, she says Nvidia Becomes World's First $5 Trillion Company - Slashdot Paris Hilton Has Been Training Her AI for Years How Realistic is OpenAI's 2028 Timeline For Automating AI Research Itself? Tesla's "Mad Max" mode is now under federal scrutiny Zenni's Anti-Facial Recognition Glasses are Eyewear for Our Paranoid Age Alphabet earnings Meta earnings You Have No Idea How Screwed OpenAI Actually Is Elon Musk's Grokipedia Pushes Far-Right Talking Points AOL to be sold to Bending Spoons for roughly $1.5B Casio's Fluffy AI Robot Squeaked Its Way Into My Heart For the sake of the show, I will suffer this torture -jj Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry A silly little photoshoot with your friends Bugonia Celebrating 25 years of Google Ads The Data Is In: The Washington Post Can't Replace Its "TikTok Guy" Peak screen? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Dr. Alan Cowen Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security zapier.com/machines agntcy.org ventionteams.com/twit
Stephen Ryu, a neurosurgeon and key figure in the Stanford Neuroprosthetics Lab joins Tjaša Zajc on Faces of Digital Health to demystify brain–computer interfaces (BCIs): how they work, why invasive systems outperform non-invasive ones, realistic use cases (motor control and speech), timelines and durability, safety and MRI trade-offs, cybersecurity, business models, and what Paradromics is building as a high-bandwidth BCI platform. Throughout, Stephen separates science fact from sci-fi, stressing near-term potential to restore communication and movement for people living with paralysis, while noting earlier-stage areas like mental health and pain. What we cover: - Invasive vs. non-invasive BCIs, and why electrode proximity to neurons matters for performance - Decoding motor intent and speech: training, language considerations, and LLM-enabled synthesis - Safety, surgery, and durability (why 10-year implant lifespans are a meaningful target) - MRI/CT compatibility trade-offs (and parallels to pacemakers/DBS) - Cybersecurity realities (what BCIs can not do today) - Business models, regulation, and reimbursement paths for medical-grade BCIs - Paradromics' differentiation: a high-bandwidth platform designed to scale across use cases - Future indications: pain, sensory restoration; earlier stage: mental health biomarkers - The human impact: restoring connection for people who can't move or speak Chapters: 01:37 How BCIs work; signals, decoding, invasive vs. non-invasive 07:13 Surgery basics, risks, and why proximity boosts performance 09:36 Decoding speech & language considerations 13:31 What's most advanced today: motor + speech 14:58 Mental health: biomarkers and why it's early 17:48 Longevity, MRI/CT limits, realistic replacement intervals 21:16 Patient perception: fear, performance, and value vs. alternatives 25:04 Paradromics' platform & high-bandwidth approach 29:22 Platform use cases by brain area (motor, auditory, etc.) 31:18 Cybersecurity: risks today vs. sci-fi 32:35 Business models, regulation, and access 36:42 Trials landscape; Paradromics' timeline 37:53 Biggest concerns: hype vs. reality 39:50 Three things everyone should know about BCIs 42:10 Potential in pain management 44:41 Role of AI/ML in decoding and assistive apps 46:36 Final thoughts www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/
What is Chapel? This week, Technology Now explores the programming language, Chapel. We ask what it is, how it was designed, and we explore why people would use it instead of some of the more established languages.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.About Brad Chamberlain:https://www.linkedin.com/in/brad-chamberlain-3ab358105 Sourceshttps://www.britannica.com/biography/Ada-Lovelacehttps://www.adalovelaceinstitute.org/about/https://cdn.britannica.com/31/172531-050-E009D42C/portion-Charles-Babbage-Analytical-Engine-death-mill-1871.jpghttps://commons.wikimedia.org/wiki/File:PunchedCardsAnalyticalEngine.jpghttps://www.mpg.de/female-pioneers-of-science/Ada-Lovelace
Ryan Carson (ex-Treehouse, Intel; now Builder-in-Residence at Sourcegraph's AMP) shares his origin story and a practical playbook for shipping software with AI agents. We cover why “tokens aren't cheap,” how AMP made pro-level coding free via developer ads, a concrete workflow (PRD → atomic dev tasks → agent execution with self-tests), and why managers should spend time as ICs “managing AI.” We close with advice for raising AI-native kids and a perspective on this moment in tech (think integrated circuit–level shift).Timestamps00:00 – The beginning of intelligence: how LLMs changed Ryan's view of computing00:23 – Apple IIe → Turbo Pascal → Computer Science: the maker bug bites03:20 – DropSend: early SaaS, Dropbox name clash, first acquisition04:30 – Treehouse: teaching coding without a CS degree; $20M raised, acquired in 202105:02 – The “bigger than a computer” moment: discovering LLMs06:15 – Joining Intel: learning GPUs and the scale of silicon (“my adult internship”)07:09 – Building an AI divorce assistant → joining AMP as Builder-in-Residence09:38 – AMP vs ChatGPT/Claude/Cursor: agentic coding with contextual developer ads11:09 – Token economics: why AI isn't really cheap17:27 – Frontier vs Flash models (Sonnet 4.5 vs Gemini 2.5) — how costs scale21:31 – Private startup: vertical AI for specialized domains22:36 – The new wave of small, vertical AI businesses23:01 – Live demo: building a news app end-to-end with AMP28:18 – How to plan like a pro: write the PRD before you build30:02 – “Outsource the work, not your thinking.”32:28 – Turning PRDs into atomic tasks (1.0, 1.1…)35:50 – Competing in an AI world = planning well36:28 – Managers should schedule IC time to “manage AI”37:14 – Designing feedback loops so agents can test themselves39:47 – “AI lied to me”: why verifiable tests matter41:11 – Raising AI-native kids: build trust, context, and agency43:59 – “We're living in the integrated circuit moment of intelligence.”Tools & Technologies MentionedAMP (Sourcegraph) – Agentic coding tool/IDE copilot that plans, edits, and ships code. Now offers a high-end, ad-supported free tier; ads are contextual for developers and don't influence code outputs.Sourcegraph (Code Search) – Parent company; enterprise code intelligence/search.ChatGPT / Claude – General-purpose LLM assistants commonly used alongside coding agents.Cursor / Windsurf – AI-first code editors that integrate LLMs for completion and refactors.Bolt / Lovable – Text-to-app builders for rapid prototyping from prompts.WhisperFlow / SuperWhisper – Voice-to-text tools for fast prompting and dictation.Anthropic Sonnet 4.5 – Frontier-grade reasoning/coding model; powerful but pricier per token.Google Gemini 2.5 Flash – Fast, lower-cost model; “good enough” for many workloads.Auth0 (example) – Authentication-as-a-service mentioned as a contextual ad use case.GPUs / TPUs – Compute for training/inference; token cost drivers behind AI pricing.PRD + Atomic Tasks Workflow – Ryan's method: record spec → generate PRD → expand to dot-notated tasks → let the agent implement.Self-testing Scripts – Ask agents to generate runnable tests/health checks and loop until passing to reduce back-and-forth and prevent “it passed” hallucinations.Family ChatGPT Accounts – Tip for raising AI-native kids; teach sourcing, context, and trust calibration.Subscribe at thisnewway.com to get the step-by-step playbooks, tools, and workflows.
Can an AI truly care about your feelings—or is emotional intelligence in machines just the most sophisticated form of manipulation? Dr. Alan Cowen of Hume AI joins the crew to unpack the promise and peril of emotionally adept bots, even as they're quietly shaping how we connect, seek help, and parent in the digital age. Virtual Try On Free Online - AI Clothes Changer | i-TryOn Oreo-maker Mondelez to use new generative AI tool to slash marketing costs OpenAI Moves to Generate AI Music in Potential Rivalry With Startup Suno Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic Microsoft's Mico heightens the risks of parasocial LLM relationships Armed police swarm student after AI mistakes bag of Doritos for a weapon - Dexerto A Definition of AGI OpenAI Finalizes Corporate Restructuring, Gives Microsoft 27% Stake and Technology Access Until 2032 - Slashdot This mom's son was asking Tesla's Grok AI chatbot about soccer. It told him to send nude pics, she says Nvidia Becomes World's First $5 Trillion Company - Slashdot Paris Hilton Has Been Training Her AI for Years How Realistic is OpenAI's 2028 Timeline For Automating AI Research Itself? Tesla's "Mad Max" mode is now under federal scrutiny Zenni's Anti-Facial Recognition Glasses are Eyewear for Our Paranoid Age Alphabet earnings Meta earnings You Have No Idea How Screwed OpenAI Actually Is Elon Musk's Grokipedia Pushes Far-Right Talking Points AOL to be sold to Bending Spoons for roughly $1.5B Casio's Fluffy AI Robot Squeaked Its Way Into My Heart For the sake of the show, I will suffer this torture -jj Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry A silly little photoshoot with your friends Bugonia Celebrating 25 years of Google Ads The Data Is In: The Washington Post Can't Replace Its "TikTok Guy" Peak screen? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Dr. Alan Cowen Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security zapier.com/machines agntcy.org ventionteams.com/twit
Neste episódio contamos a história do AI-PAVE-BR, um projeto criado no LuizaLabs para extrair valores de atributos em escala no catálogo do e-commerce que evoluiu para um artigo premiado no principal evento brasileiro de inteligência artificial em 2025. Explicamos o problema original, por que soluções prontas não bastavam, como uma LLM foi orquestrada com few shot e um golden set anotado por especialistas para comparar máquina e humano, e o que fizemos para evitar vieses na validação. Falamos de métricas, normalização textual, tempo de resposta em produção e do caminho de POC a produto.Discutimos ainda por que publicar pesquisa aplicada fortalece a cultura de dados no Brasil, o que vem depois em termos de catálogo, logística e supply chain e quais fundamentos técnicos realmente importam para quem quer sair do model fit e gerar impacto de negócio.Edição completa por Rádiofobia Podcast e Multimídia: https://radiofobia.com.br/---Nos siga no Twitter e no Instagram: @luizalabs @cabecadelabDúvidas, cabeçadas e sugestões, mande e-mail para o cabecadelab@luizalabs.com ou uma DM no InstagramParticipantes: ANA CAROLINA FONSECA BARRETO | https://br.linkedin.com/in/anacarolinafonsecabarreto/ CAIO GOMES | https://br.linkedin.com/in/caiokylegomesMURILO GAZZOLA | https://br.linkedin.com/in/mgazzolaHUGO GOBATO | https://br.linkedin.com/in/hugo-gobato-souto-669b17161
Can an AI truly care about your feelings—or is emotional intelligence in machines just the most sophisticated form of manipulation? Dr. Alan Cowen of Hume AI joins the crew to unpack the promise and peril of emotionally adept bots, even as they're quietly shaping how we connect, seek help, and parent in the digital age. Virtual Try On Free Online - AI Clothes Changer | i-TryOn Oreo-maker Mondelez to use new generative AI tool to slash marketing costs OpenAI Moves to Generate AI Music in Potential Rivalry With Startup Suno Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic Microsoft's Mico heightens the risks of parasocial LLM relationships Armed police swarm student after AI mistakes bag of Doritos for a weapon - Dexerto A Definition of AGI OpenAI Finalizes Corporate Restructuring, Gives Microsoft 27% Stake and Technology Access Until 2032 - Slashdot This mom's son was asking Tesla's Grok AI chatbot about soccer. It told him to send nude pics, she says Nvidia Becomes World's First $5 Trillion Company - Slashdot Paris Hilton Has Been Training Her AI for Years How Realistic is OpenAI's 2028 Timeline For Automating AI Research Itself? Tesla's "Mad Max" mode is now under federal scrutiny Zenni's Anti-Facial Recognition Glasses are Eyewear for Our Paranoid Age Alphabet earnings Meta earnings You Have No Idea How Screwed OpenAI Actually Is Elon Musk's Grokipedia Pushes Far-Right Talking Points AOL to be sold to Bending Spoons for roughly $1.5B Casio's Fluffy AI Robot Squeaked Its Way Into My Heart For the sake of the show, I will suffer this torture -jj Machine Olfaction and Embedded AI Are Shaping the New Global Sensing Industry A silly little photoshoot with your friends Bugonia Celebrating 25 years of Google Ads The Data Is In: The Washington Post Can't Replace Its "TikTok Guy" Peak screen? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Dr. Alan Cowen Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: zscaler.com/security zapier.com/machines agntcy.org ventionteams.com/twit
LLM-based search is the new mental availability engine, but success requires deep understanding of how a category is bought, thought and talked about. Shane O'Leary (Zoetis) and Gemma Spence (VML) join WARC's Lena Roland to discuss best practices for generative engine optimization.
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
AI Daily Rundown: October 29, 2025:Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIIn Today's edition:
How can the new AI tools help DBAs? Richard chats with Grant Fritchey about his experiences using various types of LLMs to help with his work as a DBA. Grant discusses having an LLM open as a side window to pass questions by, such as ideas for tuning, query optimization, scripts, and so on. Not all LLMs are the same - it's worth experimenting with different tools! The conversation delves into the long-term picture of AI supporting the DBA role, enabling more work to be accomplished in less time. Some of the work that used to be complex or tedious has become easier, but the need for people to assess outcomes remains essential.LinksPostgreSQLPerplexityCopilot for SQL Server Management StudiodbverseGitHub Copilot in VS CodeRecorded September 29, 2025
Jeremiah Lowin, founder of Prefect , returns to the show to discuss the seismic shift in the data and AI landscape since our last conversation a few years ago. He shares the wild origin story of FastMCP, a project he started to create a more "Pythonic" wrapper for Anthropic's Model Context Protocol (MCP).Jeremiah explains how this side project was incorporated into Anthropic's official SDK and then exploded to over a million downloads a day after MCP gained support from OpenAI and Google.He clarifies why this is an complementary expansion for Prefect, not a pivot , and provides a simple analogy for MCP as the "USB-C for AI agents". Most surprisingly, Jeremiah reveals that the primary adoption of MCP isn't for external products, but internally by data teams who are using it to finally fulfill the promise of the self-serve semantic layer and create a governable, "LLM-free zone" for AI tools.
Le patron du laboratoire français Kyutai détaille les avancées spectaculaires de ses IA vocales open source : interaction fluide, traduction en temps réel et synthèse vocale à la volée.Interview : Patrick Pérez, directeur général de KyutaiUn laboratoire à but non lucratif pour une IA ouverteKyutai est un centre de recherche sur l'intelligence artificielle à but non lucratif, fondé en 2023 grâce au mécénat de Xavier Niel, Rodolphe Saadé et Eric Schmidt, ancien CEO de Google.L'objectif : faire progresser la recherche fondamentale sur les grands modèles d'IA et partager les résultats en open source, du code aux modèles, pour stimuler l'écosystème scientifique mondial.Patrick Pérez, son directeur, le souligne : « nous ne faisons pas de produit, mais de la science ».Moshi : la première IA vocale vraiment naturelleLe premier projet emblématique de Kyutai, Moshi, est une IA conversationnelle sans tour de parole imposé. Elle comprend et répond en temps réel, peut couper la parole à bon escient et saisit les nuances émotionnelles de la voix.Une innovation majeure : Moshi ne passe pas par une transcription textuelle, préservant ainsi le timbre, l'émotion et les intonations. Open-sourcé en 2024, le modèle a déjà été téléchargé plusieurs millions de fois et inspire de nouveaux projets comme Sésame, qui réutilise certaines de ses briques.Ibiki : la traduction simultanée façon interprèteDévoilé au Sommet mondial de l'IA au Grand Palais en 2025, Ibiki traduit une conversation en simultané, tout en préservant la voix originale de l'orateur.Ce modèle, capable de fonctionner sur un smartphone, représente une avancée majeure face aux systèmes propriétaires comme Meta AI ou OpenAI.Encore au stade de prototype, Ibiki démontre la maturité de la recherche française en matière d'IA vocale temps réel et de traduction instantanée expressive.Unmute : la synthèse vocale à la voléeAvec Unmute, Kyutai repousse encore les limites : la synthèse vocale s'effectue en même temps que le texte est généré par un modèle de langage (LLM).Ce procédé permet une réponse instantanée et naturelle, sans latence perceptible. Ces avancées ouvrent la voie à de nouvelles expériences immersives — assistants vocaux, médias parlants ou interfaces interactives.C'est aussi l'un des chantiers clés de l'IA « multimodale », qui marie texte, son et vision dans un même flux de communication.Le futur : multimodalité et accessibilitéKyutai poursuit ses recherches sur la multimodalité, visant à créer des IA capables d'interpréter voix, texte, images et vidéos en temps réel.Certaines de ces briques sont déjà utilisées par le média La Provence pour convertir ses articles en audio expressif.Une application concrète de la mission de Kyutai : rendre la recherche ouverte, utile et inclusive, tout en démontrant que l'innovation européenne peut rivaliser avec les géants américains.-----------♥️ Soutienhttps://donorbox.org/monde-numerique
Время поговорить о насущной теме :)Спасибо всем, кто нас слушает. Ждем Ваши комментарии.Музыка из выпуска: - https://artists.landr.com/056870627229- https://t.me/angry_programmer_screamsВесь плейлист курса "Kubernetes для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3SrrmOzzdBBsdeQ0YVR3Fc7Бесплатный открытый курс "Rust для DotNet разработчиков": https://www.youtube.com/playlist?list=PLbxr_aGL4q3S2iE00WFPNTzKAARURZW1ZShownotes: 00:00:00 Вступление00:04:00 AI плавит мозг00:13:40 Нейронки как инструмент00:20:10 Что будет с профессией?00:26:00 Как LLM упрощает нам работу?00:31:00 Нас заставят работать больше?00:39:00 LLM говнокод помогает нам решать задачу00:40:40 LLM повысит спрос на программистов00:54:00 Развитие нейронокВидео: https://youtube.com/live/NJfevRFEaIU Слушайте все выпуски: https://dotnetmore.mave.digitalYouTube: https://www.youtube.com/playlist?list=PLbxr_aGL4q3R6kfpa7Q8biS11T56cNMf5Twitch: https://www.twitch.tv/dotnetmoreОбсуждайте:- Telegram: https://t.me/dotnetmore_chatСледите за новостями:– Twitter: https://twitter.com/dotnetmore– Telegram channel: https://t.me/dotnetmoreCopyright: https://creativecommons.org/licenses/by-sa/4.0/
In this episode, I sit down with Schunk CTO Timo Gessmann and Google DeepMind's Phillip Lippe to explore how AI is transforming the world of robotics and industrial automation. We kick things off with Timo, who shares his vision for merging mechanical expertise with AI, the challenges of attracting top talent, and why Europe needs its own world-class robotics models. Then, I'm joined by Phillip Lippe from the Gemini team, who dives into the latest advances in generative AI, the power of foundation models, and what the future holds for scalable, domain-specific intelligence. Whether you're fascinated by embodied AI, curious about industry trends, or want a peek into the minds shaping tomorrow's robots, this episode is packed with insights you won't want to miss.
AI is changing the information economy on a fundamental level. Omri Shtayer discusses how AI is being integrated into the internet, consumer acceptance, and how it changes the way we trust information. He focuses on how LLM use converts to real world sales, and explains how companies need to keep creating valuable content to keep the LLMs promoting their brands.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about
Welcome back to the EUVC Podcast, where we bring you the people and perspectives shaping European venture.Today we're joined by Lucanus Polagnoli (Founding Partner & CEO) and Stephanie Urbanski (Managing Director) of Calm/Storm — a specialist early-stage fund backing software-only digital health across Europe. Fresh off the close of Fund II, we dive into how they've evolved from a solo-GP experiment into a community-powered platform, why they keep the scope digital-only, and how they navigate regulation, AI and the post-COVID reality without losing the plot.
In this episode, Amir takes us through how to use Claude Skills to build digital employees. We cover practical demos including an A/B testing idea agent, marketing insight analyzer, and a live build of a tweet-to-newsletter converter. You'll learn what Claude Skills actually are, why they represent the biggest leap since sub-agents, and how to build them yourself—even if you've never written a custom AI workflow before. Timestamps 00:00 – Intro 01:05 – What are Claude Projects 02:40 – Sub-agents in Claude Code explained 03:34 – Introducing Claude Skills 05:58 – Context rot and the performance degradation problem 08:01 – Why matter Claude Skills Matter 11:08 – Building a UTM link generator with Artifact Builder 17:41 – Claude Skill Demo: A/B test generator for website optimization 20:32 – Claude Skill Demo: Marketing analytics insights from campaign data 23:40 – Building a Claude Skill: Creating a tweet-to-newsletter converter skill 30:32 – Final Thoughts on Claude Skills 30:58 – Why AI adoption is falling and how better prompting solves it Key Points Claude Skills are automated workflows that apply globally or per-project, pulling context only when relevant to specific tasks Skills solve the "context rot" problem where too much context degrades LLM performance and increases hallucination You can create custom Skills using markdown files with instructions, reference documents, and executable scripts The tweet-to-newsletter converter built live demonstrates Skills' ability to match tone and style with minimal training Poor AI fluency and prompting—not the tools themselves—explain why enterprise AI adoption is declining The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ Boringmarketing - Vibe Marketing for Companies: boringmarketing.com The Vibe Marketer - Join the Community and Learn: thevibemarketer.com Startup Empire - get your free builders toolkit to build cashflowing business - https://startup-ideas-pod.link/startup-empire-toolkit Become a member - https://startup-ideas-pod.link/startup-empire FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND AMIR ON SOCIAL Humblytics: https://humblytics.com/?via=community X/Twitter: https://x.com/amirmxt Youtube: https://www.youtube.com/@amirmxt
In this episode, Ray breaks down a petition signed by 800+ leaders calling to pause the superintelligence race, then digs into AWS outage chatter about AI replacing DevOps, and Microsoft's Gaming Copilot privacy concerns. Plus: a prompt trick that boosts LLM accuracy, a 2-billion-FPS camera that visualizes light, and JAXA's HTV-X cargo launch to the … Continue reading Tech Leaders Demand a Pause on Superintelligence #1849 → The post Tech Leaders Demand a Pause on Superintelligence #1849 appeared first on Geek News Central.
If you you're someone who values being able think independently, then you should be troubled by the fact that your brain's operates all too much like ChatGPT. I'm going to explain how that undermines your ability to think for yourself, but I'll also give you a key way to change it.How ChatGPT “Thinks”Let's first understand how ChatGPT “thinks.” ChatGPT is one of several Artificial Intelligences that's called a Large Language Model or LLM. All LLMs use bulk sources of language—like articles and blogs they find on the internet—to find trends in what words are most likely to follow other words. To do so, they identify key words that stand out as most likely to lead to other words. Those key words are called “tokens.” Tokens are the words that cue the LLM to look for other words.So, as a simple example for the sake of argument, let's say we ask an LLM, “what do politicians care about most?” When the LLM receives that question, it creates two tokens: “politicians” and “care.” The rest of the words are irrelevant. Then, the LLM scours the internet for the its two tokens. Though I did not run this through an LLM, it might find that the words most likely to follow the sequence [politicians]>[care] are: “constituents,” “money,” and “good publicity.”But because LLMs only return what is probabilistically likely to follow what it identifies as its tokens, then an LLM probably would not come up with [politicians]>[care about] moon rocks because the internet does not already have many sentences where the words “moon rocks” follow the token sequence: “politicians” and “care.”Thus, LLMs, though referred to as Artificial Intelligence, really are not intelligent at all, at least not in this particular respect. They really just quickly scour the internet for words that are statistically likely to follow other “token” words, and they really cannot determine the particular value, correctness, or importance of the words that follow those tokens. In other words, they cannot drum up smart, clever, unique, or original ideas. They can only lumber their way toward identifying statistically likely word patterns. If we were to write enough articles that said “politicians care about moon rocks,” the LLMs would return “moon rocks” as the answer even though that's really nonsensical.So, in a nutshell, LLMs just connect words that are statistically likely to follow one another. There's more to how LLMs work, of course, but this understanding is enough for our discussion today.How your Brain Operates Like ChatGPT.You're probably glad that your brain doesn't function like some LLM dullard that just fills in word gaps with ready-made phrases, but I have bad news: our brains actually function all too much like LLMs.The good news about your brain is that one of the primary ways that it keeps you alive is that it is constantly functioning as a prediction engine. Based on whatever is happening now, it is literally charging up the neurons it thinks it will need to use next.Here's an example: The other day, my son and I were hiking in the woods. It was a rain day, so as we were hiking up a steep hill, my son tripped over a great white shark.When you read that, it actually took your brain longer to process the words “great white shark” than the other words. That's because when your brain saw the word “tripped” it charged up neurons for other words like “log” and “rock,” but did not charge up neurons for the words “great white shark.” In fact, your brain is constantly predicting in so many ways that it is impossible to define them all here. But one additional way is in terms of the visual cues words give it. So, if you read the word “math,” your brain actually charges up networks to read words that look similar, such as “mat,” “month,” and “mast,” but it does not charge up networks for words that look very different, like “engineer.”Ultimately, you've probably seen the brain's power as a prediction engine meet utter failure. If you've ever been to a surprise party where the guest of honor was momentarily speechless, then you've seen what happens to the prediction engine when it was unprepared for what happened next. The guest of honor walked into their house expecting, for the sake of argument, to be greeted by their dog or to go to the bathroom, but not by a house full of people. So, their brain literally had to switch functions, and it took it a couple of seconds to do it.But the greater point about how your brain operates like ChatGPT should be becoming clear: If we return to my hiking example where I said, “my son were hiking and he tripped over a ___,” then we see that your brain also essentially used “tokens” like ChatGPT to predict the words that would come next. It saw “hiking” and “tripped,” it cued up words like “log” and “rock,” but not words like “great white shark,” and it did so for the same reason ChatGPT does so: it prepared for the words likely to follow its tokens.The Danger of “Thinking” Like ChatGPTThe good thing about the fact that your brain operates as a prediction engine is that you're not surprised by every word you hear or read. Imagine if every time a server approached you at a restaurant, you had absolutely no idea what they would say. Imagine if they were just as likely to say “hi, Roman soldiers wore shoes called Caliga” as “Hi, may I take your order?” Every conversation would be chaos. Neither person would have any idea what the other person would say next.So, the fact that your brain charges up neurons for words it expects to use is good in one sense, but have you stopped to ask what makes it charge up certain words instead of others? Where does it get the words it charges up to use next?If I ask you to complete this sentence: “All politicians are ____,” what words immediately spring to mind? Where did those words come from? If you reflect for a moment, you'll probably realize that most of the words to follow come from things you've heard on social media or major media. You might even be able to identify the particular sources from which you heard those words.So, if your brain operates as a prediction engine, and if that prediction engine charges up neurons for words that it expects to follow other word “tokens,” and if the words it charges up come from sources like social media, then how can you think that you're really thinking for yourself? In many ways, you're actually not. Your brain, like every brain, adopts ready-made word sequences that it regularly hears.If you engage a lot of conservative sources then you'll finish “All progressives are ___” differently than if you engage a lot of progressive sources. And vice versa. And doing that means that you're not thinking independently.How to Think (More) IndependentlyEven though it's not possible to fully break free of our brain's reliance on the words it frequently engages, it is possible to think much more independently than most people. And it's not even all that difficult.To do that, start challenging the pre-prepared language and ideas that your brain generates. Remember, whenever you hear some words, your brain already prepared other words. So, if you want to think better, then do not accept the words that your own brain wants to use. Instead, challenge your brain's selection of words by consciously considering other words instead.For example, let's say I ask you to complete this sentence: “All politicians are ____.” And let's say, to keep it very simple, that your next word is “liars.” “Liars” is the word your brain hands you, and let's say, as well, that you generally—in broad strokes—think that's true; you think that politicians generally are liars.But if you want to think for yourself, then you can't just let your brain fill in the blank with the easiest word. If you do, you'll be using the phrases given to you by outside sources.Instead, start to challenge that exact word, “liars,” with other words. For instance, you might ask yourself, “is liars really the right word or is it more accurate to say that I think politicians are ‘dishonest.'” After all, they might be dishonest in ways that do not involve lies. Or do I mean that they aren't as much dishonest or liars, but narcissists, or opportunists who exist in a corrupt system?See, even though we find some general truth in the idea that politicians are “liars,” when we consider other words, we actually think. We think for ourselves. We consider the words that outside sources have given us. So, maybe, even though we do think that politicians sometimes lie, we also realize that, as we consider it more deeply, “liars” isn't the best word. Instead, we figure out that “narcissists” might be even more accurate, or at least be another word needed to complete the thought.So, don't let your brain just follow its tokens to ready-made language from social media. Take the words that your prediction engine generates, and consciously challenge those words with other words. Then you'll think for yourself amidst a world of people who not only use ChatGPT but who also “think” like it. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit pearlmanactualintelligence.substack.com
Gross margins, GPUs, and the future of finance — this one's for the metrics nerds. CJ sits down with Sarah Wang, General Partner at Andreessen Horowitz, to talk about what happens when the traditional SaaS playbook collides with AI. Sarah shares how legacy benchmarks like payback period and burn multiple start to break down in a world where compute, not headcount, drives costs. She explains why sky-high gross margins can actually be an orange flag, how finance leaders can think about resource allocation between engineers and GPUs, and why the most valuable finance teams today are deeply operational. They also unpack what it's like partnering with AI-native founders, the evolution of pricing models as LLM costs drop, and whether we'll see a private trillion-dollar company anytime soon.—LINKS:on LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7/Company: https://a16z.com/CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:996 Culture, Exploding AI Bills & SaaS ChaosFrom Credit Karma to Notion: CFO Rama Katkar on Leading Finance Through Every Growth Stage5,762 Job Applications. Zero Offers.Thinking About Adding Payments to Your Software Product? Listen to This First!—TIMESTAMPS:(00:00:00) Preview and Intro(00:02:40) Sponsors – Fidelity Private Shares, Mercury, RightRev(00:05:50) Sarah Joins the Show(00:06:06) The Future of Excel in the Age of AI(00:08:24) Why Gross Margins Don't Tell the Whole Story(00:10:42) When Sky-High Margins Are an Orange Flag(00:12:57) Finance as a Strategic Lever in AI Companies(00:15:04) Sponsors – Tipalti, Aleph, Rillet(00:17:22) Partnering with AI-Native Founders(00:20:35) When Traditional SaaS Benchmarks Break Down(00:23:58) Forecasting and Financial Planning for Compute Costs(00:27:16) The Engineers-Versus-GPUs Trade-Off(00:30:29) Resource Allocation and Infrastructure Efficiency(00:33:47) How Pricing Models Evolve as LLM Costs Drop(00:37:15) Circular Finance: When Big Tech Funds Its Own Vendors(00:40:39) Metrics That Still Matter in AI-Driven Businesses(00:44:12) The Evolving Role of Finance Leaders(00:47:26) What “Operational Finance” Really Means(00:50:58) Building Sustainable Efficiency in AI Companies(00:54:03) Will We See a Private Trillion-Dollar Company?(00:55:33) Outro—SPONSORS:Fidelity Private Shares is the all-in-one equity management platform that keeps your cap table clean, your data room organized, and your equity story clear—so you never risk losing a fundraising round over messy records. Schedule a demo at https://www.fidelityprivateshares.com and mention Mostly Metrics to get 20% off.Mercury is business banking built for builders, giving founders and finance pros a financial stack that actually works together. From sending wires to tracking balances and approving payments, Mercury makes it simple to scale without friction. Join the 200,000+ entrepreneurs who trust Mercury and apply online in minutes at https://www.mercury.comRightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.Tipalti automates the entire payables process—from onboarding suppliers to executing global payouts—helping finance teams save time, eliminate costly errors, and scale confidently across 200+ countries and 120 currencies. More than 5,000 businesses already trust Tipalti to manage payments with built-in security and tax compliance. Visit https://www.tipalti.com/runthenumbers to learn more.Aleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/runRillet is the AI-native ERP modern finance teams are switching to because it's faster, simpler, and 100% built for how teams operate today. See how fast your team can move. Book a demo at https://www.rillet.com/metrics#RunTheNumbersPodcast #FinanceLeadership #AIinBusiness #VentureCapital #SaaSMetrics This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com
Даже если вы пишете идеальный код, это не значит, что ваш продукт в безопасности. Уязвимости может притащить кто-то другой – начиная от open source библиотек, и заканчивая уязвимостями в компиляторах, CI и VCS системах. Как научиться защищать не только код, вышедший из под ваших рук, но и всю цепочку поставки, нам рассказал Алексей Смирнов, основатель платформы CodeScoring. Партнёр команды Podlodka — наши давние друзья @AvitoTech. Это команда с крутыми процессами, культурой здравого смысла и эксперимента. Узнать про их технологии, подходы и прокачку компетенций в командах можно по ссылкам: — LLM против хаоса: как я автоматизировал ревизию прав доступа в админке Авито https://clc.to/RVjkQw — LLM в кибербезопасности https://clc.to/mvLjSA Реклама. ООО "Авито Тех”, ИНН 9710089440, erid:2SDnjdq5TKm Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях! Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Евгений Кателла, Егор Толстой Полезные ссылки: Supply-chain Levels for Software Artifacts, or SLSA https://slsa.dev/ Shai-Hulud npm vulnerability https://www.truesec.com/hub/blog/500-npm-packages-compromised-in-ongoing-supply-chain-attack-shai-hulud Таксономия атак на цепочку поставки ПО https://vkvideo.ru/video-229013285_456239031 AI-Enhanced DevTools & DevOps https://vkvideo.ru/video-22522055_456245659?t=2h34m17s Исследования от Luntry https://luntry.ru/research Исследование уязвимостей GenAI от Veracode https://www.veracode.com/wp-content/uploads/2025_GenAI_Code_Security_Report_Final.pdf О черве Shai-Hulud https://securelist.ru/shai-hulud-worm-infects-500-npm-packages-in-a-supply-chain-attack/113533/ Метод-фреймворк защиты цепочки поставки SLSA https://slsa.dev/ Доклад "Таксономия атак на цепочку поставки ПО" https://vkvideo.ru/video-229013285_456239031 Доклад "Безопасная разработка в эпоху GenAI" https://vkvideo.ru/video-229013285_456239040 Другие доклады про безопасность использования Open Source https://youtube.com/@codescoring https://vkvideo.ru/@codescoring Платформа безопасной разработки CodeScoring https://codescoring.ru/ Книга "Прозрачное программное обеспечение: Безопасность цепочек поставок ПО" https://www.piter.com/product/prozrachnoe-programmnoe-obespechenie-bezopasnost-tsepochek-postavok-po
In the first episode of our series on metaphysics, Michael Herman joins us from Episode #14 on “What is consciousness?” to discuss reality. More specifically, the question of objects in reality. The team explores Plato's forms, Aristotle's realism, emergence, and embodiment to determine whether AI models can approximate from what humans uniquely experience.Defining objects via properties, perception, and persistenceBanana and circle examples for identity and idealsPlato versus Aristotle on forms and realismShip of Theseus and continuity through changeSamples, complexes, and emergence in systemsEmbodiment, consciousness, and why LLMs lack lived unityExistentialist focus on subjective reality and meaningWhy metaphysics matters for AI governance and safetyJoin us for the next part of the metaphysics series to explore space and time. Subscribe now.What we're reading:[Mumford's] Metaphysics: A Very Short Introduction (Andrew)What did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.
MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I interview Elizabeth Knopf (https://x.com/leveragedupside) to master Claude AI automation and solve the two biggest AI productivity challenges: refamiliarizing every chat with context and accessing scattered data across Google Drive, Dropbox, and cloud storage without creating duplicates.What You'll Learn: Claude AI Skills vs Projects – Simplify AI agents into universal templates you can invoke across any chatAI Second Brain Setup – Build your personal operating system with persistent memoryGoogle Drive Integration – Connect Claude to thousands of documents without vector databasesData Infrastructure Architecture – Organize files for AI automation and workflow optimizationSkill Creator Tutorial – Meta AI hack: Use Claude to generate custom skills automaticallyBusiness AI Automation – Set up deal analyzers, email formatters, meeting note templates & moreAI Memory Management – Future-proof your LLM workflow with proper data structureClaude Code Tutorial – Access MCP (Model Context Protocol) for advanced integrationsPerfect for: Entrepreneurs, small business owners, content creators, digital marketers, real estate investors, productivity hackers, AI enthusiasts, and anyone building their first million-dollar business with AI automation tools in 2025.__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Introduction to AI Pain Points02:42 Understanding Skills vs. Agents05:56 Creating and Utilizing Skills08:46 Navigating GitHub and Skills Cookbook12:08 Building a Personal Operating System14:55 Integrating Google Drive with AI17:44 Creating a Second Brain with AI20:57 Practical Applications of AI Skills23:47 Setting Up Your Data Infrastructure27:04 Using AI for Meeting Summaries29:52 Conclusion and Call to Action
Send us a textSecurity gets sharper when we stop treating AI like magic and start treating it like an untrusted user. We sit down with Eric Galinkin to unpack the real-world ways red teams and defenders are using language models today, where they fall apart, and how to build guardrails that hold up under pressure. From MCP servers that look a lot like ordinary APIs to the messy truths of model hallucination, this conversation trades buzzwords for practical patterns you can apply right now.Eric shares takeaways from Offensive AI Con: how models help triage code and surface likely bug classes, why decomposed workflows beat “find all vulns” prompts, and what happens when toy benchmarks meet stubborn, real binaries. We explore reinforcement learning environments as a scalable way to train security behaviors without leaking sensitive data, and we grapple with the uncomfortable reality that jailbreaks aren't going away—so output validation, sandboxing, and principled boundaries must do the heavy lifting.We also dig into Garak, the open-source system security scanner that targets LLM-integrated apps where it hurts: prompted cross-site scripting, template injection in Jinja, and OS command execution. By mapping findings to CWE, Garak turns vague model “misbehavior” into concrete fixes tied to known controls. Along the way, we compare GPT, Claude, and Grok, talk through verification habits to counter confident nonsense, and zoom out on careers: cultivate niche depth, stay broadly literate, and keep your skepticism calibrated. If you've ever wondered how to harness AI without handing it the keys to prod, this one's for you.Enjoyed the episode? Follow, share with a teammate, and leave a quick review so more builders and defenders can find the show.Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifySupport the showFollow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/Twitter: https://twitter.com/SecUnfPodcast Affiliates➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh➡️ OffGrid Coupon Code: JOE➡️ Unplugged Phone: https://unplugged.com/Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout*See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.
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