Podcasts about ML

00:00-20:00: ML recaps the Bills' embarrassing loss to the Pats. Thanks to CH Insurance and Rosie's Corner. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

ML returns from Munich, so Shawn decides to talk up his trip to Des Moines, while Marc waits for Calgon […]

Jim talks with Joe Edelman about the ideas in the Meaning Alignment Institute's recent paper "Full Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value." They discuss pluralism as a core principle in designing social systems, the informational basis for alignment, how preferential models fail to capture what people truly care about, the limitations of markets and voting as preference-based systems, critiques of text-based approaches in LLMs, thick models of value, values as attentional policies, AI assistants as potential vectors for manipulation, the need for reputation systems and factual grounding, the "super negotiator" project for better contract negotiation, multipolar traps, moral graph elicitation, starting with membranes, Moloch-free zones, unintended consequences and lessons from early Internet optimism, concentration of power as a key danger, co-optation risks, and much more. Episode Transcript "A Minimum Viable Metaphysics," by Jim Rutt (Substack) Jim's Substack JRS Currents 080: Joe Edelman and Ellie Hain on Rebuilding Meaning Meaning Alignment Institute If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All, by Eliezer Yudkowsky and Nate Soares "Full Stack Alignment: Co-aligning AI and Institutions with Thick Models of Value," by Joe Edelman et al. "What Are Human Values and How Do We Align AI to Them?" by Oliver Klingefjord, Ryan Lowe, and Joe Edelman Joe Edelman has spent much of his life trying to understand how ML systems and markets could change, retaining their many benefits but avoiding their characteristic problems: of atomization, and of servicing shallow desires over deeper needs. Along the way this led him to formulate theories of human meaning and values (https://arxiv.org/abs/2404.10636) and study models of societal transformation (https://www.full-stack-alignment.ai/paper) as well as inventing the meaning-based metrics used at CouchSurfing, Facebook, and Apple, co-founding the Center for Humane Technology and the Meaning Alignment Institute, and inventing new democratic systems (https://arxiv.org/abs/2404.10636). He's currently one of the PIs leading the Full-Stack Alignment program at the Meaning Alignment Institute, with a network of more than 50 researchers at universities and corporate labs working on these issues.

Mládí vpřed a více žen. Jak se změní Sněmovna? Kdo volil koho? Proč dominoval Babiš? Kvůli čemu vyhořeli komunisté? A kdo to hodil Motoristům? Velká analýza voleb s Terezou Friedrichovou z agentury NMS a Michalem Kormaňákem z Ipsosu. Ptá se Matěj Skalický.

Mládí vpřed a více žen. Jak se změní Sněmovna? Kdo volil koho? Proč dominoval Babiš? Kvůli čemu vyhořeli komunisté? A kdo to hodil Motoristům? Velká analýza voleb s Terezou Friedrichovou z agentury NMS a Michalem Kormaňákem z Ipsosu. Ptá se Matěj Skalický. Všechny díly podcastu Vinohradská 12 můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

00:00-15:00: ML breaks down the 4-0 Bills. Is the way they are winning the blueprint for 2025? Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

John Skinner of Vectra AI shares how cyber attackers are democratizing sophisticated attacks using dark web tools, and why AI-powered hybrid defense is now essential for enterprise security.Topics Include:Vectra AI: 13-year-old cybersecurity company founded as "AI native" from day oneBuilt on machine learning assumption while competitors treated AI as afterthoughtGenerative AI represents the latest evolution in their comprehensive AI journeyStarted pairing threat researchers with ML developers to codify attack behaviorsAdded agentic AI in 2018 for correlation across space and timeUses AWS Security Lake, GuardDuty, and recently became AWS Bedrock customerSuccess measured by reducing "dwell time" from initial attack to detectionAchieved 60% faster alerts, 51% faster monitoring, 50% faster investigation timesCustomers should evaluate vendor's data science quality and algorithm training yearsEvolved hybrid defense approach as attacks start anywhere, go everywhereAI handles high-volume correlation while humans focus on analytical decisionsFuture challenge: democratized cyber attacks using readily available dark web toolsParticipants:John Skinner – Vice President Corporate/Business Development, Vectra AIFurther Links:Vectra AI: Website – LinkedIn – AWS Marketplace - YouTubeSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Joey P. and Bogs are back with their Week 5 Thursday Night Football breakdown that focuses on the Rams-49ers spread/ML, Matthew Stafford’s Pass TDs, Kyren Williams’ rushing line, and how San Francisco’s injuries (Nick Bosa, WR room) change our card. We also hit props on Brock Purdy, Brian Robinson, and Jordan Whittington. We close the show with same-game parlay ideas and TD calls for Christian McCaffrey and Davante Adams. Timestamps (may be off due to ads): Intro - 0:00:00Nick Chubb Helmet Giveaway - 0:01:06Rams vs. 49ers Game Bets - 0:02:06Hard Rock Bet - 0:05:58Kyren WIlliams O/U 67.5 RuYds - 0:08:00Brian Robinson O/U 15.5 RuYds - 0:09:51Jordan Whittington O/U 12.5 RecYds - 0:12:03Brock Purdy O/U 21.5 Completions - 0:13:05Matthew Stafford O/U 1.5 Pass TDs - 0:14:31Prop Bet Cheat Sheet - 0:16:17Same Game Parlays - 0:16:42TD Calls - 0:17:48 Helpful Links:Hard Rock Bet - All lines provided by Hard Rock Bet. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for Hard Rock Bet and make a $5 bet and you'll get $150 in bonus bets if you win. Head over to Hard Rock Bet, sign up and make your first deposit today. Payable in bonus bet(s). Not a cash offer. Offered by the Seminole Tribe of Florida in FL. Offered by Seminole Hard Rock Digital, LLC, in all other states. Must be 21+ and physically present in AZ, CO, FL, IL, IN, NJ, OH, TN or VA to play. Terms and conditions apply. Concerned about gambling? In FL, call 1-888-ADMIT-IT. In IN, if you or someone you know has a gambling problem and wants help, call 1-800-9-WITH-IT. GAMBLING PROBLEM? CALL 1-800-GAMBLER (AZ, CO, IL, NJ, OH, TN, VA). ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BettingPros App⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - Make winning bets with advice and picks from top sports betting experts. The BettingPros app puts consensus and expert-driven sports betting advice at your fingertips to help you pinpoint the best odds and make winning bets. Download it today on the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠App Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Google Play⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BettingPros Deposit Offer⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ – Score six months of BettingPros Premium for FREE! Just make a deposit and place your wager at a partner sportsbook. Premium gives you access to Sharp AI, our Betting Systems, the Prop Bet Cheat Sheet, and the Same Game Parlay Builder – all the tools you need to bet smarter. Claim your upgrade now at bettingpros.com/premium ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BettingPros Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - Looking to up your game in sports betting? Join our exclusive sports betting Discord community at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠bettingpros.com/chat⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Not only can you connect with expert handicappers who provide free picks for NBA, NFL, MLB, NHL, player props, live betting, and more, but now you can also participate in our weekly community picks. Cast your vote, see how your picks stack up against the experts, and track your success!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠See omnystudio.com/listener for privacy information.

ML checks in from Oktoberfest, as Dan Wetzel joins Marc in the studio to talk about the weird things in […]

00:00-10:00: Yankees beat reporter Bryan Hoch joins ML to preview Red Sox-Yanks. Presented by Rosie's Corner and CH Insurance. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

When a truck breaks down, time isn't just money. It's survival. Fleets lose thousands for every day a vehicle is sidelined, while drivers are left frustrated and in the dark. That's the reality Alex Bezzubets, Founder and CEO of myMechanic, set out to fix.In this episode, Alex shares how myMechanic is tackling the technician shortage, cutting wasted calls, and giving fleets, drivers, and service providers the real-time coordination they've been missing.Key takeaways:Roadside downtime can cost fleets thousands per day, making response speed critical.myMechanic eliminates up to 90% of the phone calls typically required during a breakdown.Fleets, drivers, and mechanics see the same updates, photos, and approvals in real time.The platform is agnostic, connecting providers and fleets without bias or ownership conflicts.Connectivity, not just technician supply, is the real bottleneck in roadside repairs.LINKS:Alex's LinkedInmyMechanic's WebsiteWATCH THE FULL EPISODE HEREFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! Are you experienced in freight sales or already an independent freight agent? Listen to our Freight Agent Trenches interviews powered by SPI Logistics to hear from the company's agents on how they took the entrepreneurial leap. Shipium is the ML-powered shipping platform built by the executives that created Amazon's supply chain technology. They help 3PL & retail leaders like Stord, Ryder, and Saks Off 5th to reduce shipping costs by an average of 12% while improving on-time delivery. CargoRex is the logistics industry's go-to search platform—connecting you with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.

00:00-15:00: Are the Seahawks for real? ML breaks down the 3-1 club so far. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us a textDavid Brockler, AI security researcher at NCC Group, explores the rapidly evolving landscape of AI security and the fundamental challenges posed by integrating Large Language Models into applications. We discuss how traditional security approaches fail when dealing with AI components that dynamically change their trustworthiness based on input data.• LLMs present unique security challenges beyond prompt injection or generating harmful content• Traditional security models focusing on component-based permissions don't work with AI systems• "Source-sink chains" are key vulnerability points where attackers can manipulate AI behavior• Real-world examples include data exfiltration through markdown image rendering in AI interfaces• Security "guardrails" are insufficient first-order controls for protecting AI systems• The education gap between security professionals and actual AI threats is substantial• Organizations must shift from component-based security to data flow security when implementing AI• Development teams need to ensure high-trust AI systems only operate with trusted dataWatch for NCC Group's upcoming release of David's Black Hat presentation on new security fundamentals for AI and ML systems. Connect with David on LinkedIn (David Brockler III) or visit the NCC Group research blog at research.nccgroup.com.Support 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

In this episode of History 102, 'WhatIfAltHist' creator Rudyard Lynch and co-host Austin Padgett explore Eurasian steppe nomads from Aryans to Mongols, analyzing how small mobile populations repeatedly conquered and influenced much larger sedentary civilizations. -- SPONSOR: ZCASH | NETSUITE | ORACLE The right technology reshapes politics and culture toward freedom and prosperity. Zcash—the "machinery of freedom"—delivers unstoppable private money through encryption. When your wealth is unseen, it's unseizable. Download Zashi wallet and follow @genzcash to learn more: ⁠⁠⁠⁠https://x.com/genzcash⁠⁠⁠⁠ More than 42,000 businesses have already upgraded to NetSuite by Oracle, the #1 cloud financial system bringing accounting, financial management, inventory, HR, into ONE proven platform. If you're looking for an ERP platform, get a one-of-a-kind flexible financing program on NetSuite: ⁠⁠⁠⁠⁠https://netsuite.com/102⁠⁠⁠⁠⁠ - Download your free CFO's guide to AI and machine learning. Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at ⁠⁠⁠⁠⁠https://oracle.com/cognitive⁠⁠⁠⁠⁠. -- FOLLOW ON X: @whatifalthist (Rudyard) @LudwigNverMises (Austin) @TurpentineMedia -- TIMESTAMPS: (00:00) Introduction and Philosophy of History (12:18) The Eurasian Steppe Geography (12:22) Sponsors: Zcash | Netsuite (18:07) Water Analogy for Steppe Peoples (23:34) Two Generative Cores of the Steppe (26:31) Sponsors: Oracle Cloud Infrastructure (27:39) Aryan Origins and Population Mixing (31:00) Horse Technology Evolution (36:17) Aryan Invasions and European Myths (46:01) Cimmerians and Bronze Age Impact (52:00) Xiongnu vs Han Dynasty (1:01:00) Scythians and Persian Conflicts (1:11:00) Sarmatians in the Roman Period (1:14:00) Hun Empire and Attila (1:19:00) Post Hun Peoples and Hungary (1:25:00) Chinese Barbarian States Period (1:30:00) Turkic Migrations and Slave Soldiers (1:34:00) Understanding Turkish Identity (1:48:00) Mongol Universal Empire (1:55:00) End of Steppe Power (2:01:00) Future of Inner Asia (2:08:57) Wrap Learn more about your ad choices. Visit megaphone.fm/adchoices

This Week on Dopey! We are joined by Oro Recovery Medical Director - Dr. Jason Giles! We also read old comments and hear from a few dopes in the dopey nation. Then Dave interviews Dr.  Giles—twice board-certified in addiction medicine (via ABAM then ABPM), previously board-certified in anesthesiology and pain medicine, and a recovering opioid addict. He grew up in Santa Monica with a severely alcoholic father, fell into the second-wave ska/mod scene (Vespa, sharkskin suits, amphetamines), dropped out of high school, then clawed his way through community college to Berkeley, volunteering at the Berkeley Free Clinic and falling in love with medicine.He explains anesthesia's demands (no pain, no memory; muscle relaxants; airway control), the human connection of pediatric anesthesia, and the hope-work of pain management. In 1999, curiosity and stress led him to divert fentanyl: he edited paper records, carried a 2 mL syringe for a month, then IV-used with sterile technique. After a six-week gap he used again, convincing himself he could “handle it.” Use escalated to daily “after work,” leaving him in daytime withdrawal. The department chair paged him about missing fentanyl; instead of punishment, he offered help and a path into California's 5-year diversion program (treatment, meetings, testing). Giles detoxed cold turkey, went to AA (first meeting mostly doctors), found he wasn't unique, and built long-term sobriety (nearly 26 years by his telling), learning service and vulnerability through treatment feedback groups.With sobriety he finished residency, married, had a son, worked in cardiac anesthesia and pain, and then moved into addiction treatment (Malibu), where his science and lived experience met the work. He and Dave range widely: purpose/mission as a recovery engine; Bill W., boomerangs and ants; truth-serum myths; Halsted (cocaine→heroin), Freud letters, Hitler's amphetamines/opioids (book Blitzed), kratom (mixed withdrawal profiles), benzos vs. opiates (benzo withdrawal = fear), intraoperative awareness & memory, Suboxone vs. abstinence (cast/training-wheels framing), fentanyl's dominance (counterfeit pills; heroin now rare), and whether fentanyl appears in non-opioid street drugs (he says he's seen it). ALL THAT AND MUCH MORE ON A BRAND NEW EPISODE OF THAT GOD OLD DOPEY SHOW! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

00:00-15:00: Joe Stanley joins ML to chat about his love for baseball, playoff favorites this year, Stanley Law's main story to tell right now, the partnership with Music for the Mission and how it all started and why it's so important to him and more. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

In this episode, we talk with Daniel, an astrophysicist turned machine learning engineer and AI ambassador. Daniel shares his journey bridging astronomy and data science, how he leveraged live courses and public knowledge sharing to grow his skills, and his experiences working on cutting-edge radio astronomy projects and AI deployments. He also discusses practical advice for beginners in data and astronomy, and insights on career growth through community and continuous learning.TIMECODES00:00 Lunar eclipse story and Daniel's astronomy career04:12 Electromagnetic spectrum and MEERKAT data explained10:39 Data analysis and positional cross-correlation challenges15:25 Physics behind radio star detection and observation limits16:35 Radio astronomy's advantage and machine learning potential20:37 Radio astronomy progress and Daniel's ML journey26:00 Python tools and experience with ZoomCamps31:26 Intel internship and exploring LLMs41:04 Sharing progress and course projects with orchestration tools44:49 Setting up Airflow 3.0 and building data pipelines47:39 AI startups, training resources, and NVIDIA courses50:20 Student access to education, NVIDIA experience, and beginner astronomy programs57:59 Skills, projects, and career advice for beginners59:19 Starting with data science or engineering1:00:07 Course sponsorship, data tools, and learning resourcesConnect with DanielLinkedin -   / egbodaniel  Connect with DataTalks.Club:Join the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/...Check other upcoming events - https://lu.ma/dtc-eventsGitHub: https://github.com/DataTalksClubLinkedIn -   / datatalks-club   Twitter -   / datatalksclub   Website - https://datatalks.club/

At PyData Berlin, community members and industry voices highlighted how AI and data tooling are evolving across knowledge graphs, MLOps, small-model fine-tuning, explainability, and developer advocacy.- Igor Kvachenok (Leuphana University / ProKube) combined knowledge graphs with LLMs for structured data extraction in the polymer industry, and noted how MLOps is shifting toward LLM-focused workflows.- Selim Nowicki (Distill Labs) introduced a platform that uses knowledge distillation to fine-tune smaller models efficiently, making model specialization faster and more accessible.- Gülsah Durmaz (Architect & Developer) shared her transition from architecture to coding, creating Python tools for design automation and volunteering with PyData through PyLadies.- Yashasvi Misra (Pure Storage) spoke on explainable AI, stressing accountability and compliance, and shared her perspective as both a data engineer and active Python community organizer.- Mehdi Ouazza (MotherDuck) reflected on developer advocacy through video, workshops, and branding, showing how creative communication boosts adoption of open-source tools like DuckDB.Igor KvachenokMaster's student in Data Science at Leuphana University of Lüneburg, writing a thesis on LLM-enhanced data extraction for the polymer industry. Builds RDF knowledge graphs from semi-structured documents and works at ProKube on MLOps platforms powered by Kubeflow and Kubernetes.Connect: https://www.linkedin.com/in/igor-kvachenok/Selim NowickiFounder of Distill Labs, a startup making small-model fine-tuning simple and fast with knowledge distillation. Previously led data teams at Berlin startups like Delivery Hero, Trade Republic, and Tier Mobility. Sees parallels between today's ML tooling and dbt's impact on analytics.Connect: https://www.linkedin.com/in/selim-nowicki/Gülsah DurmazArchitect turned developer, creating Python-based tools for architectural design automation with Rhino and Grasshopper. Active in PyLadies and a volunteer at PyData Berlin, she values the community for networking and learning, and aims to bring ML into architecture workflows.Connect: https://www.linkedin.com/in/gulsah-durmaz/Yashasvi (Yashi) MisraData Engineer at Pure Storage, community organizer with PyLadies India, PyCon India, and Women Techmakers. Advocates for inclusive spaces in tech and speaks on explainable AI, bridging her day-to-day in data engineering with her passion for ethical ML.Connect: https://www.linkedin.com/in/misrayashasvi/Mehdi OuazzaDeveloper Advocate at MotherDuck, formerly a data engineer, now focused on building community and education around DuckDB. Runs popular YouTube channels ("mehdio DataTV" and "MotherDuck") and delivered a hands-on workshop at PyData Berlin. Blends technical clarity with creative storytelling.Connect: https://www.linkedin.com/in/mehd-io/

How can artificial intelligence make itself more efficient? This week, Technology Now delves into the concept of solution based efficiency, how it can be applied to new and emerging technologies, and the importance of expecting the unexpected. John Frey, Senior Director and Chief Technologist of Sustainable Transformation for HPE, tells us more.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.HPE AI Sustainability Whitepaper: https://www.hpe.com/psnow/doc/a50013815enwSources:https://homepages.math.uic.edu/~leon/mcs425-s08/handouts/char_freq2.pdfhttps://www.morsecodeholistic.com/american-morse-code-translatorhttps://www.bbc.com/news/business-47460499

Sky Bridge 721 patří mezi nejdelší visuté mosty pro pěší na světě. Spojuje dva hřebeny Králického Sněžníku a je prověšen nad Mlýnským údolím. Jak už název lávky napovídá, měří na délku 721 metrů a procházet se po ní budete ve výšce 95 metrů nad zemí.

Sky Bridge 721 patří mezi nejdelší visuté mosty pro pěší na světě. Spojuje dva hřebeny Králického Sněžníku a je prověšen nad Mlýnským údolím. Jak už název lávky napovídá, měří na délku 721 metrů a procházet se po ní budete ve výšce 95 metrů nad zemí.

In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year. InfoQ AI, ML and Data Engineering editorial team met with external guests to discuss the trends in AI and ML areas, and what to watch out for the next 12 months. In addition to the written report and trends graph, this podcast provides a recording of a discussion where expert panelists discuss how innovative AI technologies are disrupting the industry. Read a transcript of this interview: http://bit.ly/4nRpvlF Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) https://qconlondon.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

What happens when a trucking kid grows up to become the industry's “Armchair Attorney”? Matthew Leffler is a third-generation trucking professional turned lawyer who has made it his mission to explain freight's most complicated legal battles in plain English. From nuclear verdicts to AB5 fallout, broker transparency fights to chassis choice rulings—he translates court cases into actionable strategies carriers and brokers can actually use. If you've ever felt lost in the legal jargon but know your business depends on getting it right, this conversation is for you.Key takeaways:Broker transparency debates will reshape contracts, workflows, and margins.Carriers can mitigate nuclear verdict risks by controlling safety and documentation.AB5 compliance requires pragmatic playbooks for carriers and owner-operators.Chassis choice rulings are a rare legal win, lowering costs for motor carriers.Non-compete clauses often stifle careers more than they protect brokerages.LINKS:Matthew's LinkedInLord of the Rings Logistics with Matthew Leffler Armchair AttorneyWATCH THE FULL EPISODE HEREFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! Are you experienced in freight sales or already an independent freight agent? Listen to our Freight Agent Trenches interviews powered by SPI Logistics to hear from the company's agents on how they took the entrepreneurial leap. Shipium is the ML-powered shipping platform built by the executives that created Amazon's supply chain technology. They help 3PL & retail leaders like Stord, Ryder, and Saks Off 5th to reduce shipping costs by an average of 12% while improving on-time delivery. CargoRex is the logistics industry's go-to search platform—connecting you with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.

Hello Libration Nation! Our book this week is Catwings a whimsical and heartwarming tale by beloved author Ursula K. Le Guin. The story follows four ordinary kittens born with an extraordinary gift—they have wings. As they set out to find a safe place in the world, the kittens discover both the beauty and challenges of being different. With gentle language and charming illustrations, Catwings is a modern classic that captures the magic of imagination, the courage of leaving home, and the comfort of finding where you belong.My guest this week is the amazing Dr. Julia Skinner, she is a food writer whose work includes the award-winning book Our Fermented Lives. She is the founder of The Culinary Curiosity School, and also runs Root, a food-focused community and consulting organization offering classes, consulting on creative projects, a weekly newsletter, and more. She's also the founder of Roots and Branches, where she coaches other writers to help them find their voice and share their most important work with the world. She is also a nature lover, a teacher, and a traveler who firmly believes in finding, and sharing, the magic of everyday life. She has a PhD in Library & Information Science, and lives between Atlanta, GA and Cork, Ireland. As a special treat for Libration Nation: use the code DRINKSPOD to for 30% off anything at both The Culinary Curiosity School and Roots and Branches (Thank you Julia!)You can follow her work in her newsletter, or find her on social:@bookishjulia (writing)@rootkitchens (food)@yourrootsandbranches (coaching)@culinary.curiosity.school (culinary courses) For our drink we have two options: Simple Cat Lovers' Cocktail This is basically a Kentucky mule, with an added herbal garnish and/or herbal syrup (depending on your preference) in place of lime. Stir together 1 - 1 1/2 c ginger beer to 1 shot bourbonAdd herbal syrup (below) to taste (optional)Garnish with fresh lemon balm, basil, or mint: lightly crush or roll before adding to the cocktail for maximum flavor Herbal syrup (makes about 1 quart): Combine 2 c sugar to 2 c water with a pinch of salt in a medium saucepan. Add 1-2 c packed fresh herbs, depending how strong you'd like it (like basil, mint, lemon balm, or mountain mint). Simmer on M/L for 10-15 minutes or until aromatic and flavorful. Cool and store in the fridge in an airtight container. Catwings Cocktail (tailor made by Julia!) This cocktail has a few steps, but I promise they're worth it: And you can batch out the syrup and tea by doubling or tripling the recipe to make these for a group or to keep the ingredients on hand in the fridge (where they'll last a week). The tea can be nice on its own, and any leftover syrup is perfect for adding to coffee or other beverages or drizzling on desserts. For a non-alcoholic version, swap in your favorite NA gin, or try this sea buckthorn-based NA spirit. Makes 4 cocktails For the herbal tea:(Note: you may not have all these dried herbs available. If not, just use 1/4-1/2 tsp catnip and 1 tsp chamomile. Or, just a chamomile tea bag). · 1/4 tsp dried catnip· 1/4 tsp dried chamomile flower· 1/4 tsp Angelica root· 1/4 tsp elecampene Steep the herbs in 3/4 c hot water for 10-12 minutes. Strain and cool completely. For the lemon balm syrup: (Note: You can play with other herbs you like here too, catnip, mountain mint, and/or basil might be fun choices depending on your tastes and what's available). · 1 packed cup fresh lemon balm leaves· 1/2 tsp apple cider vinegar· 2/3 c water· pinch salt· 1 c sugar Heat all ingredients together over medium-low heat, stirring occasionally. Simmer for 10-15 minutes or until fragrant and flavorful. Remove from heat, then cool completely and strain. For the cocktail · Divide the herbal tea across 4 rocks glasses (add ice, if desired)· Add 1 shot gin to each glass· Add 1 shot of syrup to each glass and stir· Top with sparkling wine or soda water to taste.· Garnish with fresh lemon balm, if desired.In this EpisodeSteering the Craft by Ursula Le Guin

September 23, 2025 ~ ML Elrick, "On Guard" columnist for The Detroit Free Press and host of the ML's Soul of Detroit podcast, joins Kevin to discuss his investigation into City Council President Mary Sheffield's request and acceptance of tickets to the Jeezy concert and how it may have violated Detroit's ban on gifts for officials. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

If you've been told your AMH is “too low” for your age, or that it means your chances of conceiving are slim, this episode is for you. AMH is not the final word on your fertility, it's a marker that can give us valuable clues about your health. You'll learn: What AMH levels typically look like across different ages. Why low AMH deserves closer attention. Which additional labs give a fuller picture beyond AMH alone. How women in our Fab Fertile community have conceived with their own eggs even with AMH as low as 0.02 ng/mL. I'm Sarah Clark, founder of Fab Fertile. For over a decade, my team and I have helped hundreds of couples improve their chances of pregnancy success, whether naturally or through IVF. We specialize in supporting those with low AMH, high FSH, diminished ovarian reserve (DOR), premature ovarian insufficiency (POI), and recurrent pregnancy loss through functional testing and personalized fertility strategies. This episode is especially for you if: You've been told your AMH is too low and donor eggs are your only option. You've had failed IVF cycles and want to understand if AMH is playing a role. You want to learn how to interpret AMH through a functional fertility lens, not just a conventional numbers-only approach. Not sure where to start? Download our most popular guide: Ultimate Guide to Getting Pregnant This Year If You Have Low AMH/High FSH it breaks everything down step by step to help you understand your options and take action For personalized support to improve pregnancy success, book a call here. --- TIMESTAMPS [00:00] AMH: What the Numbers Really Mean  [00:01:00] Who This Helps: Low AMH, High FSH, DOR, POI, Failed IVF [00:01:50] AMH Levels by Age: Cleveland Clinic Benchmarks Explained [00:02:40] Does AMH Predict Pregnancy? Egg Quantity vs. Egg Quality [00:03:20] Functional Fertility Lens: What Low AMH Is Signaling [00:04:20] Tests Beyond AMH: Day-3 FSH, Estradiol, and AFC Ultrasound [00:05:40] Thyroid & Fertility: Optimal TSH, Free T4/T3, Antibodies (+ Free Guide) [00:07:20] Hidden Inflammation: hsCRP, Homocysteine, MTHFR & Egg Quality [00:08:50] Vitamin D, Iron & Ferritin: Nutrient Deficits That Lower AMH [00:10:40] Gluten/Celiac & Autoimmunity (ANA) + When to Pause IVF & Heather's Success --- RESOURCES

00:00-20:00: Joe Jr. joins ML from First Tee-Syracuse with guests John King, SU hoops head coach Adrian Autry, Robert Dickson and Peter Webber. The group chats about the tournament, the message to kids, why golf checks all the boxes, SU-Clemson, Orange basketball on the way, First Tee's history in CNY and more. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

You know the drill — “patient feeling weak,” “not quite right,” maybe alittle confusion. But what if that vague dispatch hides a killer? This week on the Inside EMS podcast, hosts Chris Cebollero and Kelly Grayson dig into one of the most missed, yet deadliest emergencies we face: sepsis. You'll hear when to treat aggressively with fluids, why timing matters for antibiotics and how any provider can sound the alarm with a sepsis alert. Plus, they dive into the controversy around fluid bolus protocols, which prehospital labs might be worth it and why a 30 mL/kg mindset isn't always one-size-fits-all. If you've ever walked into a call and thought “something's off,” this episode will help you figure out what — and how to act before it's too late. Memorable quotes “Most septic patientsdon'troll with a sign thatsays,‘I'm septic.'” “The number of sepsis cases we see in EMS are more than stroke and heart attack combined.” “They may have pulses everywhere — just none of them are good.” Enjoying the show? Email theshow@ems1.com to share feedback or suggest future guests. 

Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thinking goes: if your model has too many parameters (is "too complex") for the amount of data you have, it will "overfit" by essentially memorizing the data instead of learning the underlying patterns. This leads to poor performance on new, unseen data. This is known as the classic "bias-variance trade-off" i.e. a balancing act between a model that's too simple and one that's too complex.**SPONSOR MESSAGES**—Tufa AI Labs is an AI research lab based in Zurich. **They are hiring ML research engineers!** This is a once in a lifetime opportunity to work with one of the best labs in EuropeContact Benjamin Crouzier - https://tufalabs.ai/ —Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyOct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst— Description Continued:Professor Wilson challenges this fundamental belief (fearing complexity). He makes a few surprising points:**Bigger Can Be Better**: massive models don't just get more flexible; they also develop a stronger "simplicity bias". So, if your model is overfitting, the solution might paradoxically be to make it even bigger.**The "Bias-Variance Trade-off" is a Misnomer**: Wilson claims you don't actually have to trade one for the other. You can have a model that is incredibly expressive and flexible while also being strongly biased toward simple solutions. He points to the "double descent" phenomenon, where performance first gets worse as models get more complex, but then surprisingly starts getting better again.**Honest Beliefs and Bayesian Thinking**: His core philosophy is that we should build models that honestly represent our beliefs about the world. We believe the world is complex, so our models should be expressive. But we also believe in Occam's razor—that the simplest explanation is often the best. He champions Bayesian methods, which naturally balance these two ideas through a process called marginalization, which he describes as an automatic Occam's razor.TOC:[00:00:00] Introduction and Thesis[00:04:19] Challenging Conventional Wisdom[00:11:17] The Philosophy of a Scientist-Engineer[00:16:47] Expressiveness, Overfitting, and Bias[00:28:15] Understanding, Compression, and Kolmogorov Complexity[01:05:06] The Surprising Power of Generalization[01:13:21] The Elegance of Bayesian Inference[01:33:02] The Geometry of Learning[01:46:28] Practical Advice and The Future of AIProf. Andrew Gordon Wilson:https://x.com/andrewgwilshttps://cims.nyu.edu/~andrewgw/https://scholar.google.com/citations?user=twWX2LIAAAAJ&hl=en https://www.youtube.com/watch?v=Aja0kZeWRy4 https://www.youtube.com/watch?v=HEp4TOrkwV4 TRANSCRIPT:https://app.rescript.info/public/share/H4Io1Y7Rr54MM05FuZgAv4yphoukCfkqokyzSYJwCK8Hosts:Dr. Tim Scarfe / Dr. Keith Duggar (MIT Ph.D)REFS:Deep Learning is Not So Mysterious or Different [Andrew Gordon Wilson]https://arxiv.org/abs/2503.02113Bayesian Deep Learning and a Probabilistic Perspective of Generalization [Andrew Gordon Wilson, Pavel Izmailov]https://arxiv.org/abs/2002.08791Compute-Optimal LLMs Provably Generalize Better With Scale [Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson]https://arxiv.org/abs/2504.15208

I recorded this conversation in Alpbach, Austria, a village that looks like a postcard and hosts a very serious tech gathering. TechSummit25 is Barracuda's deeply technical event, and it shows. The rooms are packed with solution architects, product managers, and engineers comparing notes with customers who run these systems every day. It is the kind of environment where product direction and real-world pain points meet over a coffee, then head straight into a lab to test an idea. My guest today is Neal Bradbury, Chief Product Officer at Barracuda, who leads engineering, product management, and the operations teams that keep services running around the clock. Fresh from a session titled “Secured today, secured tomorrow,” Neal breaks down what that promise means in practice. We explore why Barracuda is doubling down on a platform approach with Barracuda One, how a single dashboard helps teams see posture and value in one place, and why consolidation matters when alerts and tools pile up faster than teams can respond. We also talk about the balance between immediate protection and longer-term planning. Neil explains how quarterly releases and shared services underpin the roadmap, how zero trust network access moves from theory to deployment as VPNs fade, and how managed vulnerability services help organizations find risks they did not know they had. He shares why service providers are shifting toward vCIO and vCISO models, how value reporting answers the board's simplest question about where the budget goes, and why response time is the measure that keeps coming up in every conversation. Secured today, secured tomorrow The headline theme is simple enough. Know where you stand right now, then set a clear plan for the next year. Barracuda One aims to cut noise and show whether tools are configured properly. The same view rolls up alerts across email, network, and application security, and for MSPs it stretches across all customers. That single source of truth is designed to reduce swivel-chair work and make decisions faster. We dig into the reality of tool sprawl and alert fatigue. A recent study Barracuda commissioned points to teams carrying too many point solutions, with slower responses and misconfigurations as the cost. Neal's answer is convergence without ignoring specialist depth. Product groups keep shipping, while shared AI and threat protection services raise the floor across the portfolio. That approach feeds directly into XDR, where integrations with tenants, firewalls, and endpoints help shrink the gap between detection and action. AI sits in the background of all of this. Neal describes it as a reckless intern that needs guardrails. In practice that means setup wizards that cut deployment time, incident response that can pull a bad message from twenty tenants in one sweep, and ML-driven triggers that fire automated remediation when patterns line up. The aim is clear. Let machines handle the routine work at machine speed, so people can focus on decisions and the weird edge cases attackers love to try. What listeners will take away If you run security day to day, you will hear practical direction rather than slogans. Consolidated dashboards exist to show posture, not just counts. Value reporting exists to explain outcomes to a board, not to pad a slide deck. Managed services rise in importance because many organizations need strategy as much as tools, and that includes smaller enterprises that outsource large parts of their stack. For leaders planning the next quarter, the emphasis on zero trust and managed vulnerability services will stand out. For operators, the XDR and SOAR focus is about shaving minutes into seconds, connecting identity with network and endpoint events, and giving analysts room to breathe. And for anyone curious about how product roadmaps form, conferences like this one offer a candid loop between feedback and action that you rarely see on a press release. By the time we wrap, Alpbach's quiet streets feel like an unlikely place to discuss ransomware, posture, and platform design. Yet that contrast makes the conversation land even harder. Secure today, plan for tomorrow, and give your team the visibility to do both.

Michael Nicosia is the Co-founder and COO of Salt Security, a company that protects APIs from threats using cloud-scale big data, AI, and ML. Under his leadership, Salt has raised $271 million, reached a $1.4 billion valuation, and has become a leader in API security with patented AI technology and Fortune 500/Global 1000 clients. With over 20 years of experience in enterprise software sales and marketing, Michael helped lead Adallom as COO from its founding to its $327 million acquisition by Microsoft. In this episode… APIs power nearly every modern digital service, yet most companies remain unaware of just how vulnerable these connections can be to breaches. With AI agents, MCP protocols, and microservices expanding rapidly, how do you ensure that sensitive data isn't leaking through unseen cracks in your API infrastructure? Michael Nicosia, a serial entrepreneur and technology executive, shares how he took the leap from corporate roles to building a platform that safeguards APIs. He describes starting with only an idea, refining it through Y Combinator, and securing early validation from security leaders. Along the way, Michael emphasizes the importance of focusing on customer outcomes, building the right team, and persevering through uncertainty. His journey shows that protecting digital services isn't just about software — it's about resilience, trust, and staying ahead of attackers. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz interviews Michael Nicosia, COO and Co-founder of Salt Security, about scaling cybersecurity solutions for the modern digital world. Michael discusses lessons from Y Combinator, navigating the fundraising journey, and securing enterprise clients. He also shares insights on pricing models, hiring top talent, and the role of mentorship in building a lasting company.

Alex Salazar, co-founder and CEO of Arcade.dev, joins the show to unpack the realities of building enterprise agents. Conceptually simple but technically hard, agents are reshaping how companies think about workflow automation, security, and human-in-the-loop design. Alex shares why moving from proof-of-concept to production is so challenging, what playbooks actually work, and how enterprises can avoid wasting time and money as this technology accelerates faster than any previous wave.Key TakeawaysEnterprise agents aren't chatbots—they're workflow systems that can take secure, authorized actions.The real challenge isn't just building demos but getting to production-grade consistency and accuracy.Mid-market companies face the steepest climb: limited budgets, limited ML expertise, but the same competitive pressure.Success starts with finding low-risk, high-impact opportunities and narrowing scope as much as possible.Authorization is the biggest blocker today; delegated OAuth models are key to unlocking real agent functionality.Timestamped Highlights02:02 — Why agents are “just advanced workflow software” but harder to trust than traditional apps04:53 — The gap between glorified chatbots and real enterprise agents that take action09:58 — From cloud mistrust to wire transfers: how comfort with automation evolves14:00 — Chaos at every tier: startups, enterprises, and why the mid-market struggles most26:21 — The playbook: how to pick use cases, narrow scope, and carry pilots all the way to prod34:38 — Breaking down agent authorization and why most RAG systems fail in practice42:09 — Adoption at double speed: what makes this AI wave different from internet and cloudA Thought That Stuck“An agent isn't an agent until it can take action. If all it does is talk, it's just a chatbot.” — Alex SalazarCall to ActionIf this episode gave you a clearer lens on enterprise agents, share it with a colleague who needs to hear it. And don't miss future conversations—follow The Tech Trek on Apple Podcasts, Spotify, or wherever you listen.

Where do we get our stuff from? This week, Technology Now is diving into the subject of supply chain. We explore what different people along the value chain care about, the types of disruptions modern day supply chains face, and we explore how AI can be integrated into the world of supply chain to mitigate unexpected shocks.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 Mark Bakker: https://www.hpe.com/uk/en/leadership-bios/mark-bakker.htmlSourcesDoor to Door: The Magnificent, Maddening, Mysterious World of Transportation by Edward Humes. Copyright © 2016 by Edward Humes. Reprinted courtesy of Harper, an imprint of HarperCollins Publishers.https://www.persee.fr/doc/paleo_0153-9345_2016_num_42_2_5718https://www.ebsco.com/research-starters/history/renfrew-dixon-and-cann-reconstruct-ancient-near-eastern-trade-routesKhalidi, L. et al., 2016, The growth of early social networks: New geochemical results of obsidian from the Ubaid to Chalcolithic Period in Syria, Iraq and the Gulf, Journal of Archaeological Science: Reports,Volume 9, Pages 743-757, ISSN 2352-409X, https://doi.org/10.1016/j.jasrep.2016.06.026.Gendron, F., et all., 2019, The evolution of obsidian procurement in ancient Oaxaca, Mexico: New data from the Sistema 7 Venado architectural complex, Monte Albán. Journal of Archaeological Science: Reports. 23. 583-591., Tykot. R. H., 1996, Obsidian Procurement and Distribution in the Central and Western Mediterranean, Journal of Mediterranean Archaeology 9.1 (1996) 39-82

In this episode of History 102, 'WhatIfAltHist' creator Rudyard Lynch and co-host Austin Padgett do a historical analysis examining European colonialism's impact across Asian civilizations, exploring patterns of conquest, resistance, and cultural transformation to understand broader geopolitical dynamics. -- SPONSOR: ZCASH | NETSUITE | ORACLE The right technology reshapes politics and culture toward freedom and prosperity. Zcash—the "machinery of freedom"—delivers unstoppable private money through encryption. When your wealth is unseen, it's unseizable. Download Zashi wallet and follow @genzcash to learn more: ⁠⁠⁠⁠https://x.com/genzcash⁠⁠⁠⁠ More than 42,000 businesses have already upgraded to NetSuite by Oracle, the #1 cloud financial system bringing accounting, financial management, inventory, HR, into ONE proven platform. If you're looking for an ERP platform, get a one-of-a-kind flexible financing program on NetSuite: ⁠⁠⁠⁠⁠https://netsuite.com/102⁠⁠⁠⁠⁠ - Download your free CFO's guide to AI and machine learning. Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at ⁠⁠⁠⁠⁠https://oracle.com/cognitive⁠⁠⁠⁠⁠. -- FOLLOW ON X: @whatifalthist (Rudyard) @LudwigNverMises (Austin) @TurpentineMedia -- TIMESTAMPS: (00:00) Intro (11:10) Introduction to Asian Colonialism Topic (13:18) Old World vs New World Framework (20:45) Oriental Despotism as Unifying Asian Characteristic (24:07) Post-Colonial Asian Nationalism (25:24) Sponsors: Zcash | Netsuite (28:00) Why Asian Colonies Adopted Socialism (37:37) Portuguese Entry into Indian Ocean (42:00) Asian Civilizations' Failure to Recognize European Threat (48:00) Islamic World Response to European Colonialism (49:19) Sponsor: Oracle (51:00) Turkish Empire Decline and Conservative Reactions (55:00) Asian Shame-Based Culture Examples (1:01:00) Indian Social Structure Under European Contact (1:13:00) Portuguese Empire and Dutch Replacement (1:30:32) British India Conquest (1:37:00) British Colonial Policies and Famines (1:45:39) China and the Opium Wars (1:56:00) End of European Colonialism in Asia (2:04:00) Russo-Japanese War and Pan-Asian Consciousness (2:06:00) Gandhi and Peaceful Resistance (2:07:25) Wrap Learn more about your ad choices. Visit megaphone.fm/adchoices

Модные нынче нейроночки встроили уже буквально в каждую швабру, а вайбкодингом уже не удивить даже пастуха в глухой горной деревне. Однако есть целые пласты технологий, где к попыткам встраивать ML/LLM относятся крайне скептически. Одна из таких сфер — СУБД. Ведь это про стабильность, надежность, предсказуемость и контроль. А не вот эти все ваши подвороты с ИИ. Поэтому в ближайший вторник, прямо с самого утра берём в оборот Савелия Батурина, ведущего инженера по машинному обучения в компании Postgres Professional и обсуждаем с ним какие задачи уже решаются в СУБД с помощью ML, какие перспективы у этой области и как не сломать при этом всю систему. Оставайтесь на связи Пишите нам: info@linkmeup.ru Канал в телеграме: t.me/linkmeup_podcast Канал на youtube: youtube.com/c/linkmeup-podcast Подкаст доступен в iTunes, Google Подкастах, Яндекс Музыке, Castbox Сообщество в вк: vk.com/linkmeup Группа в фб: www.facebook.com/linkmeup.sdsm Добавить RSS в подкаст-плеер. Пообщаться в общем чате в тг: https://t.me/linkmeup_chat Поддержите проект:

John Keating zooms in from retirement to tell ML, Marc, Shawn – and ML's daughter Sophie – terrific tales of […]

00:00-15:00: Packers rolling early. ML breaks it down after wins over Detroit and Washington. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

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From AI agents that negotiate contracts to the surprising world of private-label branding, this month's Freight Friends covers the big shifts shaping logistics right now. Blythe and Grace Sharkey break down Grace's experience at the Change event, the rise of HappyRobot and other AI-driven workflows, the state of reverse logistics, and how private-label strategies are influencing everything from Costco to Meghan Markle's failed brand.Key takeaways:Supply chain executives at the Change event are prioritizing education and AI readiness.AI adoption is slowing in some areas, but practical agents like HappyRobot are gaining traction.Reverse logistics is becoming a bigger operational challenge for retailers and manufacturers.Private label strategies separate brand failures from retail giants like Costco.Marketing plays, community spotlights, and Source-to-Porch stories keep freight creative and human.LINKS:Grace's LinkTreeReturns Category on CargoRexDidero AINRF and Happy Returns ReportMichael Gessen's Direct Mail Marketing EffortsReachdesk WebsiteHappyRobot WebsiteWATCH THE FULL EPISODE HEREFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! Are you experienced in freight sales or already an independent freight agent? Listen to our Freight Agent Trenches interviews powered by SPI Logistics to hear from the company's agents on how they took the entrepreneurial leap. Shipium is the ML-powered shipping platform built by the executives that created Amazon's supply chain technology. They help 3PL & retail leaders like Stord, Ryder, and Saks Off 5th to reduce shipping costs by an average of 12% while improving on-time delivery. CargoRex is the logistics industry's go-to search platform—connecting you with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.

At 26, Neel Nanda leads an AI safety team at Google DeepMind, has published dozens of influential papers, and mentored 50 junior researchers — seven of whom now work at major AI companies. His secret? “It's mostly luck,” he says, but “another part is what I think of as maximising my luck surface area.”Video, full transcript, and links to learn more: https://80k.info/nn2This means creating as many opportunities as possible for surprisingly good things to happen:Write publicly.Reach out to researchers whose work you admire.Say yes to unusual projects that seem a little scary.Nanda's own path illustrates this perfectly. He started a challenge to write one blog post per day for a month to overcome perfectionist paralysis. Those posts helped seed the field of mechanistic interpretability and, incidentally, led to meeting his partner of four years.His YouTube channel features unedited three-hour videos of him reading through famous papers and sharing thoughts. One has 30,000 views. “People were into it,” he shrugs.Most remarkably, he ended up running DeepMind's mechanistic interpretability team. He'd joined expecting to be an individual contributor, but when the team lead stepped down, he stepped up despite having no management experience. “I did not know if I was going to be good at this. I think it's gone reasonably well.”His core lesson: “You can just do things.” This sounds trite but is a useful reminder all the same. Doing things is a skill that improves with practice. Most people overestimate the risks and underestimate their ability to recover from failures. And as Neel explains, junior researchers today have a superpower previous generations lacked: large language models that can dramatically accelerate learning and research.In this extended conversation, Neel and host Rob Wiblin discuss all that and some other hot takes from Neel's four years at Google DeepMind. (And be sure to check out part one of Rob and Neel's conversation!)What did you think of the episode? https://forms.gle/6binZivKmjjiHU6dA Chapters:Cold open (00:00:00)Who's Neel Nanda? (00:01:12)Luck surface area and making the right opportunities (00:01:46)Writing cold emails that aren't insta-deleted (00:03:50)How Neel uses LLMs to get much more done (00:09:08)“If your safety work doesn't advance capabilities, it's probably bad safety work” (00:23:22)Why Neel refuses to share his p(doom) (00:27:22)How Neel went from the couch to an alignment rocketship (00:31:24)Navigating towards impact at a frontier AI company (00:39:24)How does impact differ inside and outside frontier companies? (00:49:56)Is a special skill set needed to guide large companies? (00:56:06)The benefit of risk frameworks: early preparation (01:00:05)Should people work at the safest or most reckless company? (01:05:21)Advice for getting hired by a frontier AI company (01:08:40)What makes for a good ML researcher? (01:12:57)Three stages of the research process (01:19:40)How do supervisors actually add value? (01:31:53)An AI PhD – with these timelines?! (01:34:11)Is career advice generalisable, or does everyone get the advice they don't need? (01:40:52)Remember: You can just do things (01:43:51)This episode was recorded on July 21.Video editing: Simon Monsour and Luke MonsourAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellCamera operator: Jeremy ChevillotteCoordination, transcriptions, and web: Katy Moore

In episode 217, host Galit Friedlander and guest Ana Rokafella Garcia (legendary b-girl, co-founder of Full Circle Productions, choreographer, filmmaker, and adjunct professor at The New School), dive into the history, evolution, and impact of hip-hop. From growing up in New York City during the fires, crack epidemic, and AIDS crisis to discovering her voice in cyphers and clubs, Rokafella shares how dance carved out a future for her. She reflects on commercialization, gender dynamics, and visibility in the scene, while urging today's dancers to stay grounded in the culture's foundations. The conversation also touches on breaking at the Olympics, the tension between competition and community, and why hip-hop's resilience continues to guide her work. Follow Galit: Instagram - https://www.instagram.com/gogalit Website - https://www.gogalit.com/ On-Demand Fitness Courses - https://galit-s-school-0397.thinkific.com/collections Follow Rokafella: Instagram - https://www.instagram.com/larokafella Website - https://larokasoul.com/ Full Circle: https://www.instagram.com/fullcirclesouljahs Behind the Groove: https://www.instagram.com/behindthegroovenyc/ All the Ladies Say: https://www.instagram.com/alltheladiessay Listen to DanceSpeak on Apple Podcasts and Spotify.

Conventional medicine often stops at the numbers, low AMH, high FSH for Premature Ovarian Insufficiency (POI) and turns quickly to donor eggs or IVF. But through a functional fertility lens, we can uncover hidden factors like inflammation, nutrient deficiencies, gut health, and hormone imbalances that may support ovarian function and improve pregnancy success. In this episode of Get Pregnant Naturally, Fab Fertile founder Sarah Clark explains how functional fertility strategies can help reverse POI and improve your chances of conceiving with your own eggs. You'll also hear Amanda's story: she was told she'd never conceive naturally with an AMH of 0.08 ng/mL, yet went on to have her daughter. This episode is for you if: You've been told your only option with POI, low AMH, or high FSH is donor eggs You've experienced recurrent miscarriage or failed IVF cycles You want evidence-based strategies to improve egg quality and fertility outcomes naturally We'll cover the difference between genetic and idiopathic POI, why functional fertility shines in unexplained cases, and the top mistakes people make with a POI diagnosis. You'll leave with practical steps you can take right now to support ovarian function. Subscribe to Get Pregnant Naturally for evidence-based guidance on functional fertility, and share this episode with anyone on their fertility journey. Not sure where to start? Download our most popular guide: Ultimate Guide to Getting Pregnant This Year If You Have Low AMH/High FSH it breaks everything down step by step to help you understand your options and take action For personalized support to improve pregnancy success, book a call here. --- TIMESTAMPS [00:00:00] Donor eggs only? Understanding Premature Ovarian Insufficiency (POI), Low AMH & High FSH Why conventional medicine often tells you donor eggs are your only option and the functional fertility perspective that looks deeper. [01:00:00] How Functional Fertility Strategies Can Improve Ovarian Function Practical steps for egg health, reducing inflammation, balancing hormones, and improving pregnancy success. [05:00:00] Idiopathic vs Genetic POI: What You Can Influence Naturally Explaining the difference between genetic and idiopathic causes and how functional approaches support ovarian function. [08:00:00] Nutrients, Gut Health & Lifestyle Factors That Impact Egg Quality Vitamin D, B vitamins, iron, gut microbiome, and inflammation as key influencers of ovarian reserve and AMH. [12:00:00] Real Client Stories: Restoring Fertility After POI Case studies of women improving FSH, AMH, and conception outcomes with functional fertility strategies and targeted IVF support. [00:13:00] AMH, Egg Quality & Gut Health Why AMH isn't a fixed predictor of fertility outcomes and how gut health, nutrient absorption, and inflammation can influence egg quality and ovarian reserve. [00:15:30] Non-Celiac Gluten Sensitivity & Ovarian Function How gluten sensitivity can impact hormone balance, follicle development, and fertility, even when celiac disease isn't present. [00:18:00] Key Nutrients for Egg Quality The importance of vitamin D, iron, B vitamins, methylation support, and protein for optimal ovarian function, and how deficiencies can affect IVF or natural conception. [00:20:45] Gut Infections & Systemic Inflammation Chronic gut infections, microbiome imbalances, and low stomach acid as hidden drivers of inflammation that can disrupt reproductive hormones and egg quality. [00:23:30] Lifestyle, Stress & Nervous System Support How chronic stress and a dysregulated nervous system impact ovarian reserve and fertility. Mind-body strategies, dietary adjustments, and toxin reduction to support reproductive health. --- RESOURCES

00:00-15:00: Carlos Alcaraz wins 6th Grand Slam and U.S. Open. ML breaks it down.

Can AI be used to improve patient experiences? This week, Technology Now explores how AI is being used to streamline data collection in the healthcare industry, how data should be treated to avoid bias in AI, and the benefits this brings to patients. Derek B. Howard, Programme Manager for the HPE Digital Health Foundry Programme, tells us more.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 Derek B. Howard:https://www.linkedin.com/in/derek-howard1/Sources:https://www.britannica.com/technology/MYCINhttps://www.mghlcs.org/projects/dxplainhttps://www.cedars-sinai.org/discoveries/ai-ascendance-in-medicine.html

Mike Mulligan and David Haugh were joined by Chicago White Sox pregame and postgame analyst, Ozzie Guillen on the state of the White Sox

In “AI Literacy in Logistics with Gather AI's Andrew Hoffman”, Joe Lynch and Andrew Hoffman, CTO at Gather AI, discuss how artificial intelligence is transforming warehouse operations by using visual data from drones and other machines to identify issues, suggest next steps, and ultimately improve efficiency and accuracy. About Andrew Hoffman Andrew Hoffman is the Chief Technical Officer at Gather.ai, an AI-powered intralogistics optimization firm that empowers 3PLs, manufacturers, and retailers to improve margins and on-time order fulfillment in the widest range of logistics environments - from ambient to cold chain storage. Andrew has technical and leadership experience scaling supply chain-focused robotics companies from founding to exit, with over 20 patents in logistics, robotics, and robot coordination. He was a founding engineer at two supply chain robotics companies which were later acquired by Amazon – Kiva Systems (now Amazon Robotics) and CANVAS Technology. Most recently, he served as an Entrepreneur in Residence at tech-focused venture capital firm, Xplorer Capital, a Gather AI investor. About Gather AI Gather AI is an intralogistics AI company which collects visual data from drones, forklifts, and connected machines, integrates it with warehouse management systems (WMS) and cloud platforms, and uses AI to identify issues and suggest next steps. Key Takeaways: AI Literacy in Logistics In “AI Literacy in Logistics with Gather AI's Andrew Hoffman”, Joe Lynch and Andrew Hoffman, CTO at Gather AI, discuss how artificial intelligence is transforming warehouse operations by using visual data from drones and other machines to identify issues, suggest next steps, and ultimately improve efficiency and accuracy. AI as a Co-Pilot, Not a Replacement: The podcast reframes artificial intelligence as a collaborative tool that amplifies human capability. Much like a calculator assists a mathematician, AI acts as a "co-pilot" in the warehouse, providing real-time data and insights that enable staff to work more efficiently and accurately. Demystifying Core Concepts: The discussion breaks down key industry terms, clarifying the relationship between artificial intelligence (AI) (the broad field of intelligent machines) and machine learning (ML) (the specific technique of systems learning from data). It also defines computer vision as the ability of a machine to "see" and interpret a warehouse environment. Proven ROI and Real-World Results: The episode highlights a concrete case study with Stadium Goods, a customer of Gather AI. By using the company's solution, they increased inventory accuracy to over 99%, reduced "inventory shrink" from 2% to a fraction of a percent, and saved over $200,000 by eliminating manual counting. Actionable Insights from Data: The conversation explains that AI systems learn from data over time, allowing them to transform complex data queries into natural language questions. This helps warehouse staff make better decisions on the fly, such as locating a specific pallet or finding an empty space in an aisle. The Collaborative "Agent": The concept of an "agent" in AI is reframed from a technical term to a collaborative entity. Gather AI's system—the drone, software, and computer vision—works as a partner to the warehouse staff, providing the data needed for faster, more accurate decisions and freeing up employees for more valuable tasks. A Leader with a Track Record of Innovation: Andrew Hoffman's background as a founding engineer at two logistics robotics companies, both later acquired by Amazon, establishes his deep expertise. His journey offers valuable insight into the past and future of scaling technology in the supply chain industry. A Clear Path to Getting Started with AI: For listeners looking to begin their AI journey, the podcast recommends starting with a pilot project to solve one specific problem, such as cycle counting. It also advises seeking partners who offer a comprehensive solution and a clear path to return on investment, rather than just a technology. Learn More About AI Literacy in Logistics Andrew Hoffman Gather AI Gather AI | Linkedin Gather AI | YouTube Gather AI Capabilities 2025 The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube  

The truth – and Shawn – is out there somewhere. ML and Marc search for it, while Erika is away […]

Tonight I will be chatting with the creator of the Bigfoot Live Stream App. Logan will be sharing his encounters and why he created this app. This app features the ability view 24/7 live streams of Bigfoot Hot Zones. Subscription Information - Title: 24/7 Bigfoot Live Stream - Length of Subscription: Monthly - Price: $4.99 per month   By subscribing, you get access to: | All available live streams | Access to Video On Demand of of every live stream for the past 2 weeks | Uploaded videos from user reports | News and updates | First to see footage reports | Report sightings live! | ML and AI reporting   By creating a login you will then have access to subscribe to the 24/7 Bigfoot Live Stream, this is critical in the function of the app for subscribers. Users will need to first create an account for it is a necessary function within the subscription of the app. Before you create an account, users will have access to content describing about the livestream and Bigfoot Collaboration. Everything pre sign-up is information about the subscription, and our mission statement. You do not get any access to any content for creating an account. Once you create an account it only gives you access to subscribe. If you choose to remove your account there is a link in account section for removal.