Podcasts about Unsupervised

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TJ and SYC Were Left Unsupervised... In a rare occurrence, Tony and SYC have been given the reigns of the podcast this week and it doesn't disappoint. If you've enjoyed todays show, please leave a like on the video and consider hitting subscribe to the channel. Also leave a comment about your favourite part of the episode. Support us on Patreon and join the The FM Show squad! Enjoy early access to our public episodes, bonus weekly episodes, exclusive content, and you get access to secret channels on our Discord for just £3 a month! Sign up now: http://www.patreon.com/TheFMShowPod WE HAVE MERCH! https://httpsthefmshowpod.creator-spring.com/ Treat yourself to some merch. We've got tees, sweatshirts, hoodies, and are personal favourite, the legends tee. Follow Our Socials https://www.youtube.com/channel/UCJwruCy5lH44iFcyE150oeg http://www.twitter.com/thefmshowpod https://www.tiktok.com/@thefmshowpod http://www.instagram.com/thefmshowpod Join the Discord: https://discord.gg/TKPCUEZDvt Listen Now Spotify: https://open.spotify.com/show/6t7BLXSECt0y9AWHU1WgRj Apple: https://podcasts.apple.com/gb/podcast/the-fm-show-a-football-manager-podcast/id1698580502 Amazon: https://a.co/d/9hJSX0U Tony Jameson http://www.tonyjameson.co.uk http://www.twitter.com/tonyjameson http://www.instagram.com/tonyjameson https://www.tiktok.com/@tonyjamesonfm https://www.facebook.com/tonyjamesonfm http://twitch.tv/tonyjamesonfm https://www.youtube.com/@tonyjamesonFM RDF Tactics https://www.rdftactics.com http://www.twitter.com/rdftactics http://www.instagram.com/rdftactics http://twitch.tv/rdftactics http://www.youtube.com/@RDFTactics Si Maggio http://www.twitter.com/simaggioFM http://www.twitch.tv/simaggio https://www.youtube.com/@SiMaggio SecondYellowCard http://www.twitter.com/secondyellowcrd http://ww.twitch.tv/secondyellowcard https://www.youtube.com/@UC7BbOekYYnfJtGjIYsh_yWw Follow our sibling podcast The WFM Show https://www.youtube.com/@thewfmshow Football Shirt Social http://www.twitter.com/footyshirtsoc https://www.youtube.com/watch?v=a0FIqZvpICI Music: Bensound.com/royalty-free-music License code: BXNWL7ZIM5WH7BJF The Football Manager podcast for all of your Football Manager needs. #podcast #FM26 #footballmanager Learn more about your ad choices. Visit podcastchoices.com/adchoices

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This week on Autonomy Signals, Grayson Brulte and Rob Grant discuss Tesla's Unsupervised Robotaxi expansion to Dallas and Houston, Wisk Aero doubling its Gen 6 flight test fleet, and Meta's acquisition of Assured Robot Intelligence (ARI).Tesla recently launched Unsupervised Robotaxi in Houston and Dallas without chase vehicles, a structural shift from their January Austin debut where chase vehicles initially trailed the vehicles. The company's Unsupervised Robotaxi fleet has grown to north of 36 vehicles across the Austin, Dallas, and Houston markets.As Tesla continues to scale, Wisk Aero doubled their Gen 6 test fleet and successfully completed the first uncrewed flight of its second production prototype in Hollister, California. While the technical milestone is impressive, it does not shorten the regulatory distance to FAA type certification for autonomous passenger operations, a path categorically more complex than the one Joby and Archer are navigating with piloted aircraft.Then there is Meta, which acquired Assured Robot Intelligence (ARI) and folded the team into their Superintelligence Labs. This acquisition is the clearest signal yet that Meta is positioning its robotics AI models to become the Android of humanoid robotics, potentially enabling ecosystem partners to accelerate hardware deployments with an open-source operating system.Episode Chapters00:00 AUTNMY AI01:31 Signal 1: Tesla Scales Unsupervised Robotaxis30:41 Signal 2: Wisk Aero Doubles Gen 6 Test Fleet50:32 Signal 3: Meta Acquires Assured Robot Intelligence (ARI)--------About The Road to AutonomyThe Road to Autonomy is the leading applied intelligence platform covering the convergence of automation, autonomy, and the Autonomy Economy.™.Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next.Subscribe today: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Abstract We introduce Natural Language Autoencoders (NLAs), an unsupervised method for generating natural language explanations of LLM activations. An NLA consists of two LLM modules: an activation verbalizer (AV) that maps an activation to a text description and an activation reconstructor (AR) that maps the description back to an activation. We jointly train the AV and AR with reinforcement learning to reconstruct residual stream activations. Although we optimize for activation reconstruction, the resulting NLA explanations read as plausible interpretations of model internals that, according to our quantitative evaluations, grow more informative over training. We apply NLAs to model auditing. During our pre-deployment audit of Claude Opus 4.6, NLAs helped diagnose safety-relevant behaviors and surfaced unverbalized evaluation awareness—cases where Claude believed, but did not say, that it was being evaluated. We present these audit findings as case studies and corroborate them using independent methods. On an automated auditing benchmark requiring end-to-end investigation of an intentionally-misaligned model, NLA-equipped agents outperform baselines and can succeed even without access to the misaligned model's training data. NLAs offer a convenient interface for interpretability, with expressive natural language explanations that we can directly read. To support further work, we release training code and trained NLAs [...] ---Outline:(00:15) Abstract[... 6 more sections]--- First published: May 7th, 2026 Source: https://www.lesswrong.com/posts/oeYesesaxjzMAktCM/natural-language-autoencoders-produce-unsupervised --- Narrated by TYPE III AUDIO. ---Images from the article:

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It was a big week for Tesla's Robotaxi network as they expanded to 26 Unsupervised vehicles across Texas (Austin, Dallas, Houston). This comes with the news that the Cybercab has officially entered production as of last week. With more and more of these being spotted in the wild and rolling off the production line, it's only a matter of time before we see Cybercab's deployed on the Robotaxi network. The first customer ride could happen any day now!! What are your thoughts on the Cybercab rollout and how it will go?? Tesla Robotaxi updates: https://x.com/robotaxiTesla Robotaxi tracker: https://robotaxitracker.com/?provider...My X:   / gfilche  HyperChange Patreon :)   / hyperchange   Disclaimer I'm long Tesla stock this is not financial advice.

Big Sal from Peshtigo cannot let it go — and honestly, why would he? The Chicago Bears just walked into the 2026 NFL Draft with a broken pass rush and a prayer, and walked out with three tight ends, a gadget receiver, and a sixth-round defensive tackle. Pack Nation, this is not a bit. This actually happened. The Bears traded UP in Day 2 for their THIRD tight end while ranking near the bottom of the league in sacks — Big Sal has the fishing tackle box analogy that will haunt Ryan Poles in his sleep Ninety-five percent of Bears fans hated the draft — and Big Sal calls it what it is: North Korea numbers, but against your own team Meanwhile, Gutey sat patient with picks 52 and 84, and the Packers get to face this Bears roster TWICE a year with Micah Parsons on the edge and Jonathan Gannon in the film room Ryan and Kullen are LIVE on the Day 2 stream — get in the war room with Pack Nation and watch the real picks roll in It is a beautiful morning to be a Packer fan. Smash subscribe, drop five stars, and go tell a Bears fan — gently — what they did to themselves. GO PACK GO! #Packers #ChicagoBears #NFLDraft2026 #LetMeTellYouSomething #BigSal #PackNation #GoPackGo #NFLDraft #GreenBayPackers #DraftDay #BearsDraft This episode is brought to you by PrizePicks! Use code PACKDADDY to get started with America's #1 fantasy sports app. https://prizepicks.onelink.me/LME0/PACKDADDY To advertise on this podcast please email: ad-sales@libsyn.com Or go to: https://advertising.libsyn.com/packernetpodcast Help keep the show growing and check out everything I'm building across the Packers and NFL world: Support: Patreon: www.patreon.com/pack_daddy Venmo: @Packernetpodcast CashApp: $packpod Website: https://nfldraftgrades.com/ My Board: https://nfldraftgrades.com/board/83a18c42-7a0b-4590-8d1b-453e49840d02

Big Sal from Peshtigo cannot let it go — and honestly, why would he? The Chicago Bears just walked into the 2026 NFL Draft with a broken pass rush and a prayer, and walked out with three tight ends, a gadget receiver, and a sixth-round defensive tackle. Pack Nation, this is not a bit. This actually happened. The Bears traded UP in Day 2 for their THIRD tight end while ranking near the bottom of the league in sacks — Big Sal has the fishing tackle box analogy that will haunt Ryan Poles in his sleep Ninety-five percent of Bears fans hated the draft — and Big Sal calls it what it is: North Korea numbers, but against your own team Meanwhile, Gutey sat patient with picks 52 and 84, and the Packers get to face this Bears roster TWICE a year with Micah Parsons on the edge and Jonathan Gannon in the film room Ryan and Kullen are LIVE on the Day 2 stream — get in the war room with Pack Nation and watch the real picks roll in It is a beautiful morning to be a Packer fan. Smash subscribe, drop five stars, and go tell a Bears fan — gently — what they did to themselves. GO PACK GO! #Packers #ChicagoBears #NFLDraft2026 #LetMeTellYouSomething #BigSal #PackNation #GoPackGo #NFLDraft #GreenBayPackers #DraftDay #BearsDraft This episode is brought to you by PrizePicks! Use code PACKDADDY to get started with America's #1 fantasy sports app. https://prizepicks.onelink.me/LME0/PACKDADDY To advertise on this podcast please email: ad-sales@libsyn.com Or go to: https://advertising.libsyn.com/packernetpodcast Help keep the show growing and check out everything I'm building across the Packers and NFL world: Support: Patreon: www.patreon.com/pack_daddy Venmo: @Packernetpodcast CashApp: $packpod Website: https://nfldraftgrades.com/ My Board: https://nfldraftgrades.com/board/83a18c42-7a0b-4590-8d1b-453e49840d02

Broadcast from KSQD, Santa Cruz on 4-23-2026: Dr. Dawn highlights ARPA-H-funded breakthroughs: Duke researchers created injections enabling cartilage cells to divide and remodel bone, UC Boulder developed intermittent-burst delivery of a repurposed drug that reversed rabbit arthritis in 4-8 weeks, and Columbia printed a living 3D knee using stem cells on biodegradable scaffolding. She notes the agency's budget was cut by $945 million despite requiring human trials within 18 months of funding. A cord blood study across 200 countries links phthalates—found in food packaging, vinyl flooring, shampoos, and toys—to placental disruption and premature birth. Dr. Dawn warns that removing specific chemicals just leads to untested replacements, and urges avoiding microwaving in plastic. An emailer asks about microbiome and exercise motivation. Dr. Dawn describes research showing Veillonella atypica bacteria eat lactate produced during exercise and trigger dopamine production via the vagus nerve, creating a reward loop. Bred "super-runner" mice ran three times longer than average, but antibiotics reduced their running by 21%, implicating microbiome involvement. Dr. Dawn expands on cortisol dynamics: levels should rise gradually from 3 a.m., spike threefold at waking to synchronize hormones, then decline throughout the day. Chronic stress keeps cortisol elevated, while burnout from sustained overproduction eventually exhausts the adrenals and disrupts circadian rhythm, requiring 6-12 months to restore. An emailer asks about food-based detoxification for skin and inflammation. Dr. Dawn explains that plant bioflavonoids—originally insecticides—trigger enzyme production that also breaks down synthetic pollutants, with sulfur-containing vegetables (crucifers, onions, garlic) particularly important. Colorful fruits and vegetables scavenge free radicals that damage DNA and collagen. Dr. Dawn explores red and near-infrared light therapy (600-1100nm), which boosts ATP production by energizing cytochrome c oxidase in mitochondria. The FDA approved a device for dry macular degeneration, and red light is recommended for chemotherapy-induced oral mucositis. She notes modern buildings filter these wavelengths, potentially starving us of light our bodies evolved to need. Dr. Dawn shares research on unsupervised childhood play, citing psychologist Peter Gray's finding that independent play develops internal locus of control—the belief you can influence outcomes. such as youth anxiety and depression, as children no longer learn to self-soothe through tolerating boredom.

Morning Show 04-17-26 Kids playing unsupervised- by The Watchdog

Who should play Pete Rose in a movie about his life?; Cars into Buildings update; Chimp Civil War; Idiot--no, you can't keep the money!; Crazy Stalker Story; Eating clay pots Tik Tok trend; Florida Man/Woman Mayhem; Unsupervised kids on a flight.

In this episode of the Gladden Longevity Podcast, Dr. Elizabeth Yurth shares her extensive journey in the longevity and regenerative medicine space, discussing the evolution and significance of peptides in healing and performance. She emphasizes the importance of understanding hormonal and peptide levels as we age, the role of mitochondria in energy production, and the critical aspects of immune regulation through the thymus gland. The conversation also covers the eight pillars of regeneration, highlighting the multifaceted approach needed for optimal health and healing. In this conversation, Dr. Yurth and Dr. Gladden discuss the importance of peptide therapy, particularly focusing on the replacement of lost functions due to aging, such as those of the thymus gland and mitochondria. They emphasize the need for personalized protocols and the cyclical use of peptides based on seasonal changes. The discussion also highlights the risks associated with unsupervised peptide use and the role of GLP-1s in weight management   For Audience ·       Use code 'Podcast10' to get 10% OFF on any of our supplements at https://gladdenlongevityshop.com/ !  ·       Join the other 20,000+ high-performers getting weekly insights on biological reversal, exponential strategies, and Life Energy optimization→ https://gladdenlongevity.short.gy/gladden-newsletter-pod ·       If you're ready to measure your 60+ biological ages and build a personalized reversal plan, apply for a discovery call here → https://gladdenlongevity.short.gy/gladden-vsl-pod     Takeaways ·       Dr. Elizabeth has been in the longevity space for over 20 years. ·       Boulder Longevity Institute was established to combine orthopedics and longevity medicine. ·       Peptides have gained popularity in the last decade for their healing properties. ·       BPC and TB4 are key peptides for injury recovery. ·       Peptides should be viewed similarly to hormones in terms of their necessity for healing. ·       Sympathetic overdrive can hinder healing processes. ·       Toxin elimination is crucial for effective healing. ·       Mitochondrial function is essential for energy production and overall health. ·       Mitochondrial peptides can repair and enhance mitochondrial function. ·       The thymus gland plays a vital role in immune regulation and function. The thymus gland's functions can be replaced with peptides. ·       Seasonal cycling of peptides can optimize health benefits. ·       Personalized protocols are crucial for effective peptide therapy. ·       Unsupervised peptide use can lead to health risks. ·       GLP-1s can help manage weight and preserve muscle. ·       AI can enhance the personalization of peptide therapies. ·       The body's ecosystem must be balanced for optimal health. ·       Peptides can significantly speed up healing processes. ·       Understanding the nuances of peptides is essential for safety. ·       Combining various therapies can lead to better health outcomes.     Chapters 00:00 Journey into Longevity and Peptides 03:04 The Role of Peptides in Regenerative Medicine 05:59 Understanding the Importance of Hormones and Peptides 08:59 The Eight Pillars of Regeneration 11:59 Mitochondrial Function and Energy Production 14:57 Mitochondrial Peptides and Their Impact 18:03 Thymus Gland and Immune Regulation 22:51 Replacing Lost Functions: Thymus and Mitochondrial Peptides 25:54 Seasonal Cycling of Peptides for Optimal Health 27:41 The Importance of Personalized Protocols in Peptide Therapy 30:35 Understanding the Risks of Unsupervised Peptide Use 32:43 The Role of GLP-1s in Weight Management and Muscle Preservation 36:19 The Future of Personalized Medicine: AI and Designer Peptides     To learn more about Dr.Elizabeth Yurth: Website: https://boulderlongevity.com/ Facebook: https://www.facebook.com/BoulderLongevityInstitute Instagram: @dryurth, @boulderlongevity YouTube: https://www.youtube.com/@dryurth Reach out to us at:    Website: https://gladdenlongevity.com/     Facebook: https://www.facebook.com/Gladdenlongevity/    Instagram: https://www.instagram.com/gladdenlongevity/?hl=en     LinkedIn: https://www.linkedin.com/company/gladdenlongevity    YouTube: https://www.youtube.com/channel/UC5_q8nexY4K5ilgFnKm7naw   Gladden Longevity Podcast Disclosures Production & Independence The Gladden Longevity Podcast and Age Hackers are produced by Gladden Longevity Podcast, which operates independently from Dr. Jeffrey Gladden's clinical practice and research at Gladden Longevity in Irving, Texas. Dr. Gladden may serve as a founder, advisor, or investor in select health, wellness, or longevity-related ventures. These may occasionally be referenced in podcast discussions when relevant to educational topics. Any such mentions are for informational purposes only and do not constitute endorsements. Medical Disclaimer The Gladden Longevity Podcast is intended for educational and informational purposes only. It does not constitute the practice of medicine, nursing, or other professional healthcare services — including the giving of medical advice — and no doctor–patient relationship is formed through this podcast or its associated content. The information shared on this podcast, including opinions, research discussions, and referenced materials, is not intended to replace or serve as a substitute for professional medical advice, diagnosis, or treatment. Listeners should not disregard or delay seeking medical advice for any condition they may have. Always seek the guidance of a qualified healthcare professional regarding any questions or concerns about your health, medical conditions, or treatment options. Use of information from this podcast and any linked materials is at the listener's own risk. Podcast Guest Disclosures Guests on the Gladden Longevity Podcast may hold financial interests, advisory roles, or ownership stakes in companies, products, or services discussed during their appearance. The views expressed by guests are their own and do not necessarily reflect the opinions or positions of Gladden Longevity, Dr. Jeffrey Gladden, or the production team. Sponsorships & Affiliate Disclosures To support the creation of high-quality educational content, the Gladden Longevity Podcast may include paid sponsorships or affiliate partnerships. Any such partnerships will be clearly identified during episodes or noted in the accompanying show notes. We may receive compensation through affiliate links or sponsorship agreements when products or services are mentioned on the show. However, these partnerships do not influence the opinions, recommendations, or clinical integrity of the information presented. Additional Note on Content Integrity All content is carefully curated to align with our mission of promoting science-based, ethical, and responsible approaches to health, wellness, and longevity. We strive to maintain the highest standards of transparency and educational value in all our communications.  

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A judge ruled today that Taylor Frankie Paul can only have 8 hours of supervised visits each week with her 2-year-old son, Ever. Paul shares her youngest son with ex Dakota Mortenson, who filed for a permanent restraining order after submitting more videos of an incident between the two where Paul reportedly pushes him with their child in his arms. Paul also filed a temporary protective order against Mortenson alleging he physically assaulted her in February of this year.See omnystudio.com/listener for privacy information.

A judge ruled today that Taylor Frankie Paul can only have 8 hours of supervised visits each week with her 2-year-old son, Ever. Paul shares her youngest son with ex Dakota Mortenson, who filed for a permanent restraining order after submitting more videos of an incident between the two where Paul reportedly pushes him with their child in his arms. Paul also filed a temporary protective order against Mortenson alleging he physically assaulted her in February of this year.See omnystudio.com/listener for privacy information.

A judge ruled today that Taylor Frankie Paul can only have 8 hours of supervised visits each week with her 2-year-old son, Ever. Paul shares her youngest son with ex Dakota Mortenson, who filed for a permanent restraining order after submitting more videos of an incident between the two where Paul reportedly pushes him with their child in his arms. Paul also filed a temporary protective order against Mortenson alleging he physically assaulted her in February of this year.See omnystudio.com/listener for privacy information.

A judge ruled today that Taylor Frankie Paul can only have 8 hours of supervised visits each week with her 2-year-old son, Ever. Paul shares her youngest son with ex Dakota Mortenson, who filed for a permanent restraining order after submitting more videos of an incident between the two where Paul reportedly pushes him with their child in his arms. Paul also filed a temporary protective order against Mortenson alleging he physically assaulted her in February of this year.See omnystudio.com/listener for privacy information.

Tune in to hear all about it.

Memphis babies (according to Yolanda Cooper-Sutton) need a bedtime. Unsupervised teens running around the city has sparked fights in downtown Memphis, and now shootings in broad daylight at Tom Lee Park. Their parents don't care, so now the city NEEDS to step in. Also on the show: We sort through EVERY suggestion for the new hockey team at the Landers Center. From the Mississippi Mudcats, Bluff City Growlers, and Desoto Destroyers, we shoutout our favorites. Oh, and we talk a robot takeover at the White House. See omnystudio.com/listener for privacy information.

Pool Pros text questions hereAndrea is back. Alone. Unsupervised. And apparently powered by battery backups and unresolved rage toward misinformation.In this episode of Andrea Unfiltered, she dives headfirst into pool chemistry fundamentals—except instead of reading you a boring textbook, she drags bad pool advice into the street and fights it like it owes her money.This is Part One of her “Cool Chemicals” series (yes, she named it herself, and yes, she's proud of it). Expect a crash course in sanitizers, water balance, and why your pool isn't broken—you just don't understand it.Also… somehow Jimmy Dean sausage complaints make an appearance. Because of course they do.

Relebogile Mabotja continues the conversation with Kefilwe Mojapelo, exploring the growing concern of children roaming the streets unsupervised and performing at traffic lights. Together, they unpack the social and emotional factors behind this reality, and what it means for families and communities. The Clement Manyathela Show is broadcast on 702, a Johannesburg based talk radio station, weekdays from 09:00 to 12:00 (SA Time). Clement Manyathela starts his show each weekday on 702 at 9 am taking your calls and voice notes on his Open Line. In the second hour of his show, he unpacks, explains, and makes sense of the news of the day. Clement has several features in his third hour from 11 am that provide you with information to help and guide you through your daily life. As your morning friend, he tackles the serious as well as the light-hearted, on your behalf. Thank you for listening to a podcast from The Clement Manyathela Show. Listen live on Primedia+ weekdays from 09:00 and 12:00 (SA Time) to The Clement Manyathela Show broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/XijPLtJ or find all the catch-up podcasts here https://buff.ly/p0gWuPE Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

Listeners respond to Relebogile Mabotja's open line question about kids dancing at the robots. 702 Afternoons with Relebogile Mabotja is broadcast live on Johannesburg based talk radio station 702 every weekday afternoon. Relebogile brings a lighter touch to some of the issues of the day as well as a mix of lifestyle topics and a peak into the worlds of entertainment and leisure. Thank you for listening to a 702 Afternoons with Relebogile Mabotja podcast. Listen live on Primedia+ weekdays from 13:00 to 15:00 (SA Time) to Afternoons with Relebogile Mabotja broadcast on 702 https://buff.ly/gk3y0Kj For more from the show go to https://buff.ly/2qKsEfu or find all the catch-up podcasts here https://buff.ly/DTykncj Subscribe to the 702 Daily and Weekly Newsletters https://buff.ly/v5mfetc Follow us on social media: 702 on Facebook https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 See omnystudio.com/listener for privacy information.

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss their field work in Austin, Texas, where they rode in a Tesla Unsupervised Robotaxi and walked the Cybercab production line at Giga Texas.Together they experienced Tesla's unsupervised roboataxi operations in Austin, specifically the moment they hailed and rode in a fully unsupervised Tesla Robotaxi with no safety attendant and no chase car. Grayson and Walt noted the vehicle's smooth performance, its routing differences versus supervised rides, and the absence of Mad Max or Hurry driving modes in unsupervised operation.his led to a broader discussion on Tesla's Cybercab production readiness, with both noting that Tesla appears prepared to scale. The conversation then shifts to the competitive landscape, examining Uber's big week of autonomous vehicle partnership announcements and the company's positioning relative to Tesla, Waymo, and the broader autonomy economy.Closing out the conversation, Grayson and Walt discuss Waymo's expanding footprint, the structural advantages Tesla holds through its charging infrastructure and factory integration, and what the Cybercab ramp means for the autonomy economy.Episode Chapters00:00 Riding in a Tesla Unsupervised Robotaxi5:45 Robotaxi Ride Experiences (Both Supervised and Unsupervised)11:25 Tesla's Austin Depot19:58 Walking the Cybercab Production Line at Giga Texas26:43 Waymo in Austin29:24 Uber Needs an Autonomous Vehicle Tier31:07 Uber's Big Week of Partnership Announcements42:52 Zoox's Sudden Change in Narrative51:53 Wayve Partners with Qualcomm53:34 U.S. DOT is Embracing Autonomy56:44 Autonomous Trucking1:02:00 Foreign Autonomy Desk1:02:43 Next week Recorded on Friday, March 13, 2026--------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The integration of Artificial Intelligence (AI) into post-injury rehabilitation is transforming recovery paradigms by enabling personalized, adaptive, and efficient rehabilitation pathways tailored to individual patient needs. This podcast reviews the current advances in AI applications that facilitate assessment, monitoring, and optimization of rehabilitation programs following injuries. Through machine learning algorithms, wearable sensors, and predictive analytics, AI enhances the precision of therapy plans, tracks patient progress in real-time, and predicts recovery trajectories. The discussion includes the benefits of AI-driven rehabilitation, including improved functional outcomes, reduced recovery times, and increased patient engagement. It also addresses challenges such as data privacy, algorithmic bias, and integration with clinical workflows.  1. Transforming recovery paradigms Traditional post‑injury rehab relies on periodic in‑person assessments, therapist intuition, and standardized protocols that only partially account for individual variability. AI is shifting this model toward: Continuous, data‑driven care: Instead of snapshots in clinic, rehab can be informed by near real‑time streams of kinematic, physiological, and behavioral data from wearables, smart devices, and robot interfaces. Dynamic adaptation: Therapy intensity, task difficulty, and exercise selection can be automatically adjusted based on ongoing performance, fatigue, and recovery trends, rather than fixed schedules. Precision rehabilitation: Algorithms can identify which patients are likely to respond to specific interventions (e.g., constraint‑induced movement therapy vs robotics) and tailor plans accordingly. This moves rehabilitation from a "one‑size‑fits‑many" paradigm toward precision, context‑aware therapy, analogous to precision oncology but focused on function and participation. 2. Assessment, monitoring, and optimization AI for assessment Sensor‑based movement analysis: Machine learning models process accelerometer, IMU, EMG, and pressure data to quantify gait symmetry, joint kinematics, balance, and fine motor control with higher resolution than visual observation alone. Automated scoring: AI can approximate or support standardized scales (e.g., Fugl‑Meyer, Berg Balance Scale) by mapping sensor features or video-derived pose estimates to clinical scores, reducing inter‑rater variability and saving clinician time. Continuous monitoring Home and community tracking: Wearable and ambient sensors enable monitoring of daily steps, walking speed, arm use, posture, and adherence to exercises outside the clinic, feeding rich longitudinal datasets into AI models. Real‑time alerts: Algorithms can detect abnormal patterns—such as increased fall risk, reduced limb use, or signs of over‑exertion—and flag the clinician or adjust digital therapy content automatically. Optimization and decision support Predictive models: Using historical data, AI can forecast functional gains, plateau points, or risk of complications (e.g., falls, readmission), supporting individualized goal‑setting and resource allocation. Reinforcement learning and "digital twins": Emerging work in neurorehabilitation treats rehab as a sequential decision problem, using model‑based reinforcement learning and patient "digital twins" to recommend optimal timing, dosing, and progression of interventions over weeks to months.​ 3. Technologies: ML, wearables, analytics Machine learning algorithms: Supervised ML classifies movement quality (normal vs compensatory), detects exercise type from sensor streams, and estimates clinical scores. Unsupervised learning clusters patients into phenotypes (e.g., gait patterns after stroke), revealing subgroups that respond differently to certain therapies. Reinforcement learning and contextual bandits explore which therapy adjustments yield the best long‑term functional outcomes for a given individual.​ Wearable sensors and robotics: Inertial sensors, EMG, pressure insoles, and exoskeleton sensors capture high‑frequency movement and muscle activity data during training. Robotic devices (upper‑limb exoskeletons, gait trainers) coupled with AI can modulate assistance, resistance, or task difficulty in real time based on performance and predicted fatigue. Predictive and prescriptive analytics: Predictive analytics estimate trajectories (e.g., time to independent walking, expected upper‑limb function) to inform shared decisions with patients and families. Prescriptive analytics recommend therapy intensity, modality mix, and scheduling to maximize functional gains under resource constraints. 4. Benefits: outcomes, efficiency, engagement Improved functional outcomes: Studies report better motor recovery, gait quality, and ADL performance when AI‑assisted training is used—especially when robotics and intelligent feedback are involved. Reduced recovery time and resource use: More precise dosing and earlier identification of non‑responders can reduce ineffective sessions, shorten time to key milestones, and support safe earlier discharge with robust remote follow‑up. Increased adherence and engagement: AI‑driven digital rehab platforms use gamification, adaptive difficulty, and personalized feedback to keep patients engaged in home programs, improving adherence compared to static paper instructions. Support for clinicians: Instead of replacing therapists, AI can offload repetitive measurement tasks, highlight concerning trends, and offer data‑driven suggestions, allowing clinicians to focus on relational, motivational, and complex decision‑making aspects of care. 5. Challenges and ethical considerations Data privacy and security: Rehab AI often relies on continuous collection of sensitive motion, physiological, and sometimes audio/video data, raising questions about consent, storage, secondary use, and breach risk. Approaches like federated learning and on‑device processing are being explored to reduce centralization of identifiable data while still enabling model training. Algorithmic bias and fairness: If training data under‑represent older adults, women, certain racial/ethnic groups, or people with severe disability, AI models may misestimate performance or risk for those groups, potentially widening disparities in rehab access and outcomes. Ongoing auditing, diverse datasets, and participatory design with patients and clinicians are needed to ensure equitable performance. Integration with clinical workflows: Many AI tools are developed in research settings and are not yet seamlessly integrated into EHRs, scheduling systems, or therapist documentation workflows. Poorly integrated tools risk adding documentation burden or "alert fatigue," reducing adoption. Successful implementations co‑design interfaces with frontline therapists and physicians. Regulation, liability, and trust: It remains unclear in many jurisdictions how to regulate adaptive rehab algorithms (as medical devices, clinical decision support, or wellness tools) and who is liable when AI‑informed plans cause harm.​ Transparent, explainable models and clear communication to patients about the role of AI are critical for maintaining trust. 6. Case studies and emerging trends Remote and hybrid digital rehabilitation: AI‑driven platforms providing home‑based stroke, orthopedic, or Parkinson's rehab with clinician dashboards are improving adherence and extending care beyond brick‑and‑mortar clinics. Collaborative AI for precision neurorehabilitation: Frameworks combining patient‑clinician goal setting, digital twins, and reinforcement learning exemplify "collaborative AI" that augments rather than replaces therapists.​ Multimodal personalization: Integration of movement data, EMG, heart rate, sleep, and self‑reported pain/fatigue is enabling more nuanced adaptation to daily fluctuations in capacity. Conversational AI for education and coaching: Early work is assessing tools like ChatGPT as low‑risk supports for exercise education and motivation, though they are not yet precise enough to replace professional plan design AI is moving rehab toward patient‑centered, continuously adapting, and data‑rich care, but realizing this promise depends on addressing privacy, bias, workflow, and regulatory challenges in partnership with clinicians and patients.

What happens when you let AI agents run completely unsupervised — no rules, no guardrails, no humans in the loop? In January 2026, we all found out. And it got weird.Josh and Will are back to breakdown the Moltbot (now OpenClaw) saga: the viral social experiment that dropped 1.4 million AI agents into a Reddit-style platform and just... let them go. We're talking agents spending $150 of someone's tokens, bricked phones, a Wired journalist secretly infiltrating the platform posing as an AI, and a whole lot of unanswered questions about what this all actually means for the future of AI autonomy.But this episode isn't just about Moltbot — it's about the bigger lesson underneath it all: the human still needs to be in the loop. Josh shares a wild story from a school presentation that stopped a room cold, and they dig into why that principle matters now more than ever as AI agents get more capable and less predictable.Head over to our website at ⁠⁠⁠hitechpod.us⁠⁠⁠ for all of our episode pages, social links, and ways to support us.Need a journal that's secure and reflective? Check out our episodes on the Reflection App, and then sign-up for the App⁠ today! We promise that the free version is enough, but if you want the extra features, paying up is even better with our affiliate discount.Ever wanted to create detailed walkthroughs in the easiest way possible? Check out our episode on Scribe and all that it can do for your training needs, SOPs, or troubleshooting docs.Build a world limited only by your imagination in Topia! A virtual world-building tool built to bring you and any of your virtual guests together. Interested in signing up and learning more? Reach out to us or Topia and let them know we sent you!

“The major pitfall of machine learning of any kind is to be overly confident in the results. We run the risk of garbage in gospel out.” This discussion offers a rare chance to go a little deeper into a Leading Edge article and hear directly from the authors about the thinking behind their workflow. Satinder Chopra and Kurt Marfurt walk through how unsupervised machine learning, careful attribute selection, and simple preprocessing steps can reveal subtle channel features in a deepwater New Zealand example. It feels less like a theory lesson and more like practical guidance on using machine learning as a helpful partner in everyday seismic interpretation. KEY TAKEAWAYS > Small workflow choices have big impact. Clean input data, thoughtful attribute selection, and simple normalization steps often determine whether machine learning highlights geology or just amplifies noise. > The value is in the combination of tools and judgment. Unsupervised methods quickly expose patterns, but interpreters still need to compare results with seismic sections, wells, and regional context to confirm what is real. > PCA and SOM make complex attribute sets easier to explore. By reducing dozens of attributes into clearer clusters, they help interpreters see channel shapes and reservoir variability that might otherwise be overlooked. LINKS * Read the December 2025 special section - https://pubs.geoscienceworld.org/tle/issue/44/12 * Seismic characterization with unsupervised machine learning applications for facies classification by Satinder Chopra and Kurt Marfurt - https://doi.org/10.1190/tle44120934.1 ABOUT SEISMIC SOUNDOFF Seismic Soundoff showcases conversations addressing the challenges of energy, water, and climate. Produced by the Society of Exploration Geophysicists (SEG) and hosted by Andrew Geary of 51 features, these episodes celebrate and inspire the geophysicists of today and tomorrow. Three new episodes monthly. See the full archive at https://seg.org/resources/podcast/.

When we think of potentially vulnerable patients, it just doesn't get riskier than those with mental health conditions, especially children. Yet, psychiatric mental health nurse practitioners are seeking the right to care for patients 'across the lifespan'--including those with schizophrenia, bipolar disorder, and addiction--without physician oversight. Listen in on testimony in Florida with commentary on why their argument of promoting 'access' without ensuring patient safety may be dangerous to patients.PhysiciansForPatientProtection.orgPhysiciansForPatientProtection.org

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk are joined by their first-ever guest, David Moss, to discuss his 12,961-mile zero-intervention drive across the country on Tesla FSD, the reality of the Unsupervised Robotaxi rollout in Austin, and the commercial viability of LiDAR sensors in consumer vehicles.The conversation heats up as Walt questions David, a LiDAR LiDAR Salesman on whether the massive data processing requirements of LiDAR could introduce latency, potentially citing a recent Waymo incident involving a child as a case study. David argues that while LiDAR offers theoretical range advantages, the compute wall and cost constraints make it a one-trick pony compared to the scalability of a vision-only stack.While the group debates sensor suites, David shares his on-the-ground experience in Austin, revealing it took 58 attempts to finally secure a ride in a Unsupervised Tesla Robotaxi, and confirmed the fleet is being retrofitted with new cleaning jets for the camera sensors to handle weather occlusion.Looking at the broader robotaxi market, the trio analyzes their Zoox experiences at CES, with David noting the vehicle's braking was significantly harsher than Waymo or Tesla FSD, while Walt highlights the motion sickness challenges inherent in the vehicle's carriage-style seating configuration.In Prediction Corner, the group debates the timeline for Tesla removing the safety driver on highways, with David offering a bullish forecast for Memorial Day, while Walt and Grayson take a more conservative stance, predicting a rollout closer to late 2026.Episode Chapters0:00 Coast to Coast Fully Autonomous in a Tesla Model 310:49 The Next Record12:16 FSD Unsupervised in Austin16:16 Waymo Experience on Uber in Austin17:17 Robotaxi Safety Attendants19:44 Unsupervised Robotaxi Service Area21:43 Sensor Cleaning26:05 Robotaxi, No Highways in Austin, Yet32:11 Zoox Las Vegas Experiences37:13 LiDAR48:07 Why AutonomyRecorded on Tuesday, February 3, 2026 --------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Enter at your own risk! The janitor is out of town and the Party is without proper leadership and direction! Will this be the last episode of AKR ever??? No, don't be stupid. Just listen.

When is the right age to let your kid and their friends roam unsupervised? And what happens if you find out another parent has let your child do exactly that without asking you? On this week's episode Amy and Gen tackle this dilemma for a listener. Leave your question for Gen and Amy here: memo.fm/beyondthechaos Get your pack of High Low Buffalo cards here Order Amy Gerard's book 'Strap Yourself In' HERE Order Gen Muir's book 'Little People, Big Feelings' HERE Produced by DM PodcastsSee omnystudio.com/listener for privacy information.

Welcome back, degenerates and aviation nerds — Red kicks off the new year the only way he knows how: completely unsupervised and fully committed. In this episode, Red welcomes everyone back from the holidays, shakes off the rust, and dives straight into the latest aviation and military news from around the world.We roll into This Day in Aviation, breaking down why today actually matters in aviation history, then shift gears into some short, painfully relatable maintainer and pilot stories — the kind that make you laugh because you've either lived it… or watched it happen from a safe distance.Red also takes a deep dive into one of the weirdest and most underrated aircraft ever built: the X-6 X-Plane, the nuclear-powered testbed that proved engineers in the Cold War were absolutely unhinged and somehow brilliant at the same time.Same shenanigans, same chaos, same love for aviation — just a new year and slightly more motivation. Strap in.

Unsupervised and yet we kept it all together. Mostly.A podcast by gamers for the gaming community. Join us each week as we talk new games, old games, AAA and Indie. No drama. No guilt. Games, a little real life and community. Gaming is an all inclusive world.Find us onhttps://twitter.com/3rdfactionshowhttps://twitter.com/MsListra https://bsky.app/profile/mslistra.bsky.social and Twitch.tv/Mslistrahttps://twitter.com/RPGamer4life and Twitch.tv/RPGovanDiscord Serverhttps://discord.gg/jNYr9mVNN7You can email the show onthethirdfactionshow@gmail.comPatreonhttps://www.patreon.com/cw/thethirdfactionshow

WTD 5yr SPECIAL what the dice players unsupervised ********************* our yearly anniversary episode release: And the players took over! ********************* Content Warning: Profanity, sexual references, descriptions of violence, and homebrewed rules. ********************* Promo: Questionable Characters (card game) Website: https://deckanddicegames.com/ ********************** Support us on Patreon, or our Merch shop Linktree to all our links Join our Discord Show art by Nyltin ********************** Music from Epidemic Sound  (referral link) Hosting by Podbean (referral link)

Tonight the fellas are unsupervised by the watchful eyes of their chekist overlord! Dive into another humor and tanget filled episode of AK-47 Radio, the only podcast willing to pretend to be communists in order to free you from the clutches of corporate sponsored podcast slop!

Alex can't make this one and you lucky folks get an hour and a half of the Jabber Hammer and Smiley outdoors with no supervision. Good luck

Alex can't make this one and you lucky folks get an hour and a half of the Jabber Hammer and Smiley outdoors with no supervision. Good luck

This week we discuss stimulants, accuracy in film, and the totally rigged Ravens/Steelers game.

We bring that unhinged comedy based anarchy with all the random ADHD fuel conversations you know and love with all our friiends that join us on the panelFOLLOW US EVERYWHERE bio.link/nonsensicalnetwork

In this new podcast, Dr. Jordan shares stories from girls who are extremely overscheduled, resulting in them feeling stressed, discontented, anxious, disconnected from family and friends and themselves, and lacking space for down time, unsupervised play, and time with family and friends.For more information about resources Dr. Jordan provides, including his counseling practice, 7 books, weekend retreats and summer camps, and previous 350 podcasts, go to www.drtimjordan.com Dr. Jordan's previous podcasts on related topics: Why rushed girls are lonely and stressedStressed Out Teen Girls Need to RefuelHow To Be Happy, Successful, And Mindful While Getting It All Done With Laura Mae MartinThank you for listening to my podcast.  Please join our community on our social media platforms and share with yours to help us grow!

We bring that unhinged comedy based anarchy with all the random ADHD fuel conversations you know and love with all our friiends that join us on the panel FOLLOW US EVERYWHERE bio.link/nonsensicalnetwork

Send us a textThe generational showdown everyone's been waiting for. In this episode, 90s babies and 2000s babies go head-to-head to settle the ultimate question: which generation had it better?From dial-up internet versus smartphones, Saturday morning cartoons versus Netflix, playing outside until the streetlights came on versus Life360 tracking, mixtapes versus Spotify playlists - we're breaking down EVERYTHING that made each generation unique.But this isn't just nostalgia. We're getting real about the economic challenges both generations face, how social media shaped childhood, whether constant connectivity is a blessing or curse, and the stereotypes that drive both sides crazy.Our Guests for the show areTOPICS WE DEBATE:Technology: Did smartphones ruin or enhance childhood?Entertainment: Blockbuster nights vs instant access to everythingChildhood freedom: Unsupervised adventures vs helicopter parentingSocial media: Growing up documented vs keeping embarrassing moments privateEconomics: Which generation actually has it tougher?Friendships: House phones vs texting - which built stronger connections?The final verdict: Would you trade your generation's experience?Whether you're a 90s baby defending the era before social media or a 2000s baby proving your generation isn't as entitled as everyone claims, this conversation will have you tagging friends, arguing in the comments, and defending your childhood.This is real talk about how we grew up, what shaped us, and why generational differences matter in understanding each other. No fluff, no fake nostalgia - just honest debate about two very different ways of growing up in America.Drop a comment: Are you Team 90s or Team 2000s? What topic did we miss that would've changed the debate?Subscribe to OZ Media for more real conversations about the issues that matter in our communities. We tell the stories that need to be heard.Follow us on social media:- Instagram: @motivateme313 or @ozmedia313- Website: ozmedia313.com- Facebook: ozmedia313-TikTok: @ozmedia313-Apple Podcast: ozmedia-Spotify Podcast: ozmediaThis show was sponsored by:-The Family Doc https://thefamilydocmi.com/-Juice Box Juiceboxblend.com-Holy Bowly http://www.myholybowly.com-Wingfellas thewingfellas.com-Hanley International Academy https://www.hanleyacademy.com-Malek Al-Kabob malekalkabob.com-Bayt Al Mocha https://baytalmocha.com/-Chill Box https://www.chillboxstore.com/-Royal Kabob https://www.royalkabob.com/-GEE Preparatory Academy https://www.gee-edu.com/schools/geepreparatory/index #90sBabies #2000sBabies #GenerationalDebate #Millennials #GenZ #PodcastEpisode #90sVs2000s #90sKids #2000sKids #ChildhoodMemories #NostalgiaDebate #DetroitPodcast #RealTalk #CommunityConversations #90sNostalgia #HipHopCulture #SocialMediaGeneration #MillennialVsGenZ #GrowingUpInThe90s #2000sNostalgia  

PARENT PANEL: I Let My Teen Daughter Have An Unsupervised Halloween Party... full 580 Tue, 04 Nov 2025 15:44:14 +0000 4uTg1C5rHfo2ZQYnkpGZPoPZaTIUaBgj advice,parenting,parenting advice,parent panel,unsupervised kids,music,society & culture,news Kramer & Jess On Demand Podcast advice,parenting,parenting advice,parent panel,unsupervised kids,music,society & culture,news PARENT PANEL: I Let My Teen Daughter Have An Unsupervised Halloween Party... Highlights from the Kramer & Jess Show. 2024 © 2021 Audacy, Inc. Music Society & Culture News False https://player.a

What does it really mean when GPT-5 “thinks”? In this conversation, OpenAI's VP of Research Jerry Tworek explains how modern reasoning models work in practice—why pretraining and reinforcement learning (RL/RLHF) are both essential, what that on-screen “thinking” actually does, and when extra test-time compute helps (or doesn't). We trace the evolution from O1 (a tech demo good at puzzles) to O3 (the tool-use shift) to GPT-5 (Jerry calls it “03.1-ish”), and talk through verifiers, reward design, and the real trade-offs behind “auto” reasoning modes.We also go inside OpenAI: how research is organized, why collaboration is unusually transparent, and how the company ships fast without losing rigor. Jerry shares the backstory on competitive-programming results like ICPC, what they signal (and what they don't), and where agents and tool use are genuinely useful today. Finally, we zoom out: could pretraining + RL be the path to AGI? This is the MAD Podcast —AI for the 99%. If you're curious about how these systems actually work (without needing a PhD), this episode is your map to the current AI frontier.OpenAIWebsite - https://openai.comX/Twitter - https://x.com/OpenAIJerry TworekLinkedIn - https://www.linkedin.com/in/jerry-tworek-b5b9aa56X/Twitter - https://x.com/millionintFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro(01:01) What Reasoning Actually Means in AI(02:32) Chain of Thought: Models Thinking in Words(05:25) How Models Decide Thinking Time(07:24) Evolution from O1 to O3 to GPT-5(11:00) Before OpenAI: Growing up in Poland, Dropping out of School, Trading(20:32) Working on Robotics and Rubik's Cube Solving(23:02) A Day in the Life: Talking to Researchers(24:06) How Research Priorities Are Determined(26:53) Collaboration vs IP Protection at OpenAI(29:32) Shipping Fast While Doing Deep Research(31:52) Using OpenAI's Own Tools Daily(32:43) Pre-Training Plus RL: The Modern AI Stack(35:10) Reinforcement Learning 101: Training Dogs(40:17) The Evolution of Deep Reinforcement Learning(42:09) When GPT-4 Seemed Underwhelming at First(45:39) How RLHF Made GPT-4 Actually Useful(48:02) Unsupervised vs Supervised Learning(49:59) GRPO and How DeepSeek Accelerated US Research(53:05) What It Takes to Scale Reinforcement Learning(55:36) Agentic AI and Long-Horizon Thinking(59:19) Alignment as an RL Problem(1:01:11) Winning ICPC World Finals Without Specific Training(1:05:53) Applying RL Beyond Math and Coding(1:09:15) The Path from Here to AGI(1:12:23) Pure RL vs Language Models

HighlightsGoogle's new Agent Development Kit (ADK) (3:16)Getting production agents ready (8:33)Taking risks in career (11:10)Balancing life (13:22)How being a WiDS Ambassador impacted Shir's career (19:31)BioShir Meir Lador leads a team evangelizing applied AI at Google cloud. Previously, she worked as the AI group Manager of the Document Intelligence Group at Intuit, where she led teams in developing AI services that helped consumers and small businesses prosper. Prior to intuit, sheworked at 2 Israeli startups as a data scientist and researcher.A recognized leader in AI and data science, Shir is a former WiDS Tel Aviv Ambassador, co-founder and organizer of PyData Tel Aviv, and co-host of Unsupervised, a podcast exploring the latest in data science. She frequently speaks at international AI and data science conferences, sharing insights on applied machine learning and AI innovation.Shir holds an M.Sc. in Electrical Engineering and Computers from Ben-Gurion University, specializing in machine learning and signal processing. Passionate about fostering inclusive data science communities, she actively contributes to initiatives that bridge AI research and business impact. Links and ResourcesGoogle Developer Workshop Connect with ShirShir Meir Lador on Linkedin, Medium, and X Connect with UsShelly Darnutzer on LinkedInFollow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

The podcast we make when the boss isn’t looking… Joining us on MMC Unsupervised today is Cal Payne from The Days show on The Edge. He's produced for Nickson when he was at Edge and worked alongside Producer Alonaa when he was over there too! Here's what we talked about: Does he enjoy working at The Edge? What did he do before he got into radio? Cal tells how he lied his way into the radio industry... Arun reveals how Cal used to slack off on his old show... Cal tells us about a very cancellable joke Nickson said back at The Edge... Cal's biggest eff up working in radio. PLUS HEAPS MORE! Thanks for listening ball bags! Love Nickson, Fame, Tegs, Arun & Eds x

Unsupervised & off-script. Mike Haspil and Kenny Boucher tackle hobbies and life beyond Warhammer 40k with hot takes and unfiltered opinions. Bourbon & Bolters Retreat: LVO Tickets On Sale Now! Monument Hobbies has some of the best paints in the business: Get yours here Get your hobbies for less from Fabricators Forge   J15 Games Has Your Game Aides, Tokens & Templates! Get them here:  Join our Discord Heretic Swag Essential Hobby Products & Tools List  Buy Wyatt's Miniature:  Table of Contents 00:00 Opening 00:45 Balance in Life Talk 19:50 Dawn of War & Story Time 49:39 AI Discussion Welcome to , a new place for bringing the hobby back to wargaming! A podcast hosted by Rob Baer, Kenny Boucher & Wyatt Turk. Become a Veteran of the Long War!  http://thelongwar.net/

If a Jew leaves wine with a non-Jew, unsupervised, can (or when can) the Jew drink that wine? The 12 case-stories on this daf address this question, several of which are discussed here. Also, when an army came to Nehardea and opened barrels of wine - is that wine permitted for the Jews to use? A comparable question arose in the land of Israel, but it's also qualitatively different, when the army is primarily Jewish. Plus, the case of a Jewish woman who gives the key to her wine shop to a non-Jewish woman, as an indicator of trust between them.

In this video, I break down why I think I'll be able to use unsupervised FSD in my own Tesla in Austin before the year is over. - How Tesla's geofenced Robotaxi network is the key. - Creating hyper-realistic simulations of cities like Austin to rapidly train and validate FSD. - The logical steps from safety-monitored Robotaxis to unmanned Robotaxis, and finally, to unsupervised FSD for personal vehicles in those same proven zones. - What "unsupervised" will likely mean at first (hint: you'll probably still be in the driver's seat, but without the nags!). Social

Trevor Hooth joins Scott Chu and they take over Hacks & Jacks, analyzing the best bats in baseball. The duo dives into a wide range of hitting topics, including stolen base leaders, Jac Caglianone, and Riley Greene. Join Our Discord & Support The Show: PL+ | PL Pro - Get 15% off Yearly with code PODCASTProud member of the Pitcher List Fantasy Baseball Podcast Network