Podcasts about meter

Dansby Swanson just had one of the best Fantasy days of the season (2:58). ... Gage Jump continues to impress (10:48). ... News (19:24): Bobby Witt Jr. was out again. ... Scott made a big trade in his dynasty league (27:54). ... Let's fire up the Worry-O-Meter for McLean, Soriano and Woo (32:01). ... Goldschmidt keeps raking (51:00). ... Griffin Jax has been solid (1:00:26). ... Here are four trade candidates (1:03:56). ... We wrap up with leftovers, bullpens and streamers (1:10:32).Subscribe to our YouTube channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠youtube.com/FantasyBaseballToday⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the newsletter at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.cbssports.com/newsletters

Minnesota Vikings optimism meter for the next 3 years; Ryan Grigson is leaving the Vikings; How optimistic should Vikings fan feel beyond the 2026 season; Plus latest Vikings news and more on a Thorsday on Purple Daily. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Guardians' recent performance is analyzed by Nick Wilson and Daryl Ruiter with a focus on their reliance on pitching and defense during a period of significant injuries. Discussion centers on the impact of missing key hitters and the potential for a strong finish once the roster returns to full health. 01:00 - Pitching And Defense Strategy 03:13 - Rotation And Injury Updates 05:30 - Offensive Performance And Potential

Share this Video: https://youtu.be/_9P9AhVXt2U WestPoint Gold: TSX.V: WPG | OTCQB: WPGCF Website: https://westpointgold.com/ Corporate Deck: https://westpointgold.com/investors/ West Point Gold CEO Derek Macpherson breaks down the latest high-grade drill results and what they mean for the company future. See why this 66.2 meter intercept at 6.57 GPT Au is a critical indicator for the project's potential. Netting a 435 Gram/Meter is exceptional! This update is designed for investors tracking West Point Gold who want a clear view of the company capital structure, ownership, and current analyst coverage. We review the specific technical data from the recent drilling program to provide a grounded perspective on the robust vein system currently being tested. By evaluating these high-grade drill results, viewers will better understand how the company is positioning its assets within the broader gold mining stocks market. We focus strictly on the data provided by the CEO to help you assess the operational progress and the strategic outlook for the site. Subscribe for weekly mining investment analysis updates, and comment below on which exploration project you want us to cover next.

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Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Substackhttps://substack.com/@theoccultrejects?r=7auau0&utm_campaign=profile&utm_medium=profile-pageCash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsPart 1 focuses on the drum as an ancient technology of altered consciousness. The argument is not that every beat causes trance, or that neuroscience has proven spirits. The stronger argument is that rhythm enters the human organism through hearing, motor prediction, breath, movement, attention, emotion, expectation, culture, and social synchrony. The drum becomes powerful when sound, body, group, ritual frame, and meaning converge. These sources support the archaeology, neuroscience, EEG research, shamanic studies, possession studies, Indigenous and culturally specific drum traditions, ritual theory, placebo and meaning-response research, ceremonial magic, and modern witchcraft material used in the episode.Core Academic and Scientific SourcesHuels, Emma R., Hyoungkyu Kim, UnCheol Lee, Tirsa Bel-Bahar, Ana V. Colmenero, Alexandra Nelson, Stefanie Blain-Moraes, George A. Mashour, and Richard E. Harris. “Neural Correlates of the Shamanic State of Consciousness.” Frontiers in Human Neuroscience 15 (2021): 610466.Gordon, Yoel, Golan Karvat, Noa Dagan, and Ayelet N. Landau. “Neural Tracking at Theta Predicts Drumming-Induced Altered States of Consciousness.” Scientific Reports 16, no. 1 (2026): Article 10204.Aparicio-Terrés, R., et al. “The Neurobiology of Altered States of Consciousness Induced by Drumming and Other Rhythmic Sound Patterns.” Annals of the New York Academy of Sciences, 2025.Neher, Andrew. “Auditory Driving Observed with Scalp Electrodes in Normal Subjects.” Electroencephalography and Clinical Neurophysiology 13 (1961): 449–451.Neher, Andrew. “A Physiological Explanation of Unusual Behavior in Ceremonies Involving Drums.” Human Biology 34, no. 2 (1962): 151–160.Maurer, R., V. K. Kumar, L. Woodside, and R. J. Pekala. “Phenomenological Experience in Response to Monotonous Drumming and Hypnotizability.” American Journal of Clinical Hypnosis 40, no. 2 (1997): 130–145. Use for monotonous drumming, subjective altered experience, imagery, absorption, and hypnotizability.Maxfield, Melinda C. “Effects of Rhythmic Drumming on EEG and Subjective Experience.” PhD diss., Institute of Transpersonal Psychology, 1990. Use as older supporting context on drumming, EEG, imagery, body-image changes, and subjective altered experience. Do not make this the main scientific proof; use it as background.Nozaradan, Sylvie, Isabelle Peretz, and André Mouraux. “Tagging the Neuronal Entrainment to Beat and Meter.” The Journal of Neuroscience 31, no. 28 (2011): 10234–10240. Use for EEG evidence that the brain can track beat and meter. This supports the claim that the brain does not merely hear rhythm as background sound; it can represent rhythmic structure in measurable ways.Nozaradan, Sylvie. “Exploring How Musical Rhythm Entrains Brain Activity with Electroencephalogram Frequency-Tagging.” Philosophical Transactions of the Royal Society B 369, no. 1658 (2014). Use as broader rhythm/EEG entrainment support. This helps explain frequency-tagging, beat tracking, meter, neural entrainment, and the measurable relationship between rhythmic structure and brain activity.Thaut, Michael H., Gerald C. McIntosh, and Volker Hoemberg. “Neurobiological Foundations of Neurologic Music Therapy: Rhythmic Entrainment and the Motor System.” Frontiers in Psychology 5 (2015). Use for rhythm as motor-system timing information. This supports the claim that a beat can become bodily instruction, not just sound for the ear. Especially useful when discussing rhythmic auditory stimulation, motor planning, gait, entrainment, and the auditory-motor bridge.Ross, Jessica M., John R. Iversen, and Ramesh Balasubramaniam. “Time Perception for Musical Rhythms: Sensorimotor Perspectives on Entrainment, Simulation, and Prediction.” 2022. Use for rhythm, timing, prediction, sensorimotor entrainment, and the way musical rhythm interacts with time perception.Hove, Michael J., and Jane L. Risen. “It's All in the Timing: Interpersonal Synchrony Increases Affiliation.” Social Cognition 27, no. 6 (2009): 949–960. Use for synchrony and social bonding. This helps support the group-body argument: moving or acting in time with others can increase affiliation.Wiltermuth, Scott S., and Chip Heath. “Synchrony and Cooperation.” Psychological Science 20, no. 1 (2009): 1–5. Use for the claim that synchronized movement can increase cooperation and attachment among participants.Tarr, Bronwyn, Jacques Launay, and Robin I. M. Dunbar. “Music and Social Bonding: ‘Self-Other' Merging and Neurohormonal Mechanisms.” Frontiers in Psychology 5 (2014): 1096. Use for music, synchrony, bonding, endorphin/social mechanisms, and why group rhythm can feel like more than private listening.Fancourt, Daisy, Rosie Perkins, Sara Ascenso, Louise Atkins, Fatima Kilfeather, and Aaron Williamon. “Effects of Group Drumming Interventions on Anxiety, Depression, Social Resilience and Inflammatory Immune Response among Mental Health Service Users.” PLOS ONE 11, no. 3 (2016): e0151136. Use for modern group-drumming research showing psychological and physiological effects, including anxiety, depression, social resilience, wellbeing, and inflammatory immune response. Use carefully: this does not make group drumming a cure-all. It supports the more grounded claim that embodied rhythm and group participation can affect mood, social connection, and body chemistry.Bittman, Barry B., et al. “Composite Effects of Group Drumming Music Therapy on Modulation of Neuroendocrine-Immune Parameters in Normal Subjects.” Alternative Therapies in Health and Medicine 7, no. 1 (2001): 38–47. Use as older supporting material on group drumming and neuroendocrine-immune measures. Keep secondary. Fancourt is cleaner for the main script body.Archaeology and Deep History of DrumsLawergren, Bo. “Neolithic Drums in China.” In Music Archaeology in China. 2006. Use for clay drums in Neolithic China and the deep-history claim that drums are not just poetic symbols of antiquity. They appear in the archaeological record as instruments tied to early sound-making, ceremony, and social order.Both, Arnd Adje. “Music Archaeology: Some Methodological and Theoretical Considerations.” Use as general support for why ancient instruments should be treated as ritual and social evidence, not merely decorative objects.Anthropology, Ethnomusicology, Ritual, and TranceRouget, Gilbert. Music and Trance: A Theory of the Relations Between Music and Possession. Translated by Brunhilde Biebuyck. Chicago: University of Chicago Press, 1985. Essential source. Use for the caution that music does not mechanically or universally cause trance. Rouget helps keep the argument academically serious by emphasizing culture, ritual frame, meaning, and expectation.Becker, Judith. Deep Listeners: Music, Emotion, and Trancing. Bloomington: Indiana University Press, 2004. Use for music-linked trancing, emotional absorption, religious experience, and culturally trained ways of listening. This supports the “hearing versus entering” distinction.McNeill, William H. Keeping Together in Time: Dance and Drill in Human History. Cambridge, MA: Harvard University Press, 1995. Use for marching, dance, drill, muscular bonding, synchronized movement, and rhythm as social glue. This is useful both for Part 1's group-body material and Part 2's war-drum material.Eliade, Mircea. Shamanism: Archaic Techniques of Ecstasy. Princeton: Princeton University Press, 1964. Use carefully. Eliade's phrase “archaic techniques of ecstasy” is powerful, but the episode should also note that later scholarship criticizes his tendency to universalize shamanism.Winkelman, Michael. Shamanism: A Biopsychosocial Paradigm of Consciousness and Healing. 2nd ed. Santa Barbara, CA: Praeger, 2010. Use for shamanism as a ritual technology involving altered consciousness, healing, social integration, symbolism, and body-brain processes.Winkelman, Michael. “Shamanism and Psychedelics: A Biogenetic Structuralist Paradigm of Ecopsychology.” European Journal of Ecopsychology 4 (2013): 90–115. Use as supplemental background on shamanism, altered consciousness, and comparative models of trance and visionary states.Kontouli, Athanasia, Michael J. Hove, Alexandre Lehmann, Peter Vuust, and Peter E. Keller. “The Rhythms of Trance: Cultural Phenomenology and Neural Mechanisms of Music-Induced Lewis-Williams, David. The Mind in the Cave: Consciousness and the Origins of Art. London: Thames & Hudson, 2002. Use cautiously for altered states, entoptic imagery, ritual vision, and the relationship between neuropsychology and symbolic culture.Non-Ordinary States of Consciousness.” Neuroscience & Biobehavioral Reviews, 2026. Use for the bridge between cultural phenomenology and neuroscience. This supports the point that music-induced trance is not only acoustics; it involves body, training, expectation, culture, environment, and interpretation.Tart, Charles T., ed. Altered States of Consciousness. New York: Wiley, 1969. Use as classic altered-state background.Hultkrantz, Åke. “The Drum in Shamanism.” Use for classic comparative material on the shamanic drum, especially Arctic, SiberiAlso want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. A

Texans AFC Concern Meter: PATRIOTS full 751 Mon, 22 Jun 2026 20:34:55 +0000 zlEBIj7YgCPPaUTYUZQYqeG1dAcrMreY nfl,new england patriots,afc,houston texans,afc south,nfl news,texans,nfl news notes,houston texans news,afc news,texans news notes,sports The Drive with Stoerner and Hughley nfl,new england patriots,afc,houston texans,afc south,nfl news,texans,nfl news notes,houston texans news,afc news,texans news notes,sports Texans AFC Concern Meter: PATRIOTS The Drive with Stoerner & Hughley delivers high-energy Houston sports talk built for H-Town fans who want insight with edge. Former NFL quarterback Clint Stoerner teams up with Ron “The Show” Hughley to break down everything that matters in Houston sports — from Texans training camp storylines and NFL playoff races to Astros postseason pushes and Rockets rebuild updates. A must-listen for Houston sports talk, the show blends locker-room perspective, strong opinions and authentic fan energy while covering SEC football, UH hoops, college sports across Texas and the biggest headlines shaping the NFL and MLB. For passionate, informed and locally-focused Houston sports analysis, The Drive with Stoerner & Hughley keeps fans connected to the teams and stories that define the city. © 2026 Audacy, Inc. Sports https://player.amperwavepodcasting.com?feed-link=https%3A%2F

AFC 2026 Texans Concern Meter-PATRIOTS; + Astros Place Abreu on RESTRICTED LIST + Weekend's Best/Worst! (Hour 2) full 2323 Mon, 22 Jun 2026 23:19:56 +0000 mfotBX3xOUhxQpqPdd3d9T5TuusKbkPV nfl,mlb,nba,houston texans,houston astros,nfl news,texans,astros,rockets,houston rockets,mlb news,nba news,houston sports,mlb news notes,sports The Drive with Stoerner and Hughley nfl,mlb,nba,houston texans,houston astros,nfl news,texans,astros,rockets,houston rockets,mlb news,nba news,houston sports,mlb news notes,sports AFC 2026 Texans Concern Meter-PATRIOTS; + Astros Place Abreu on RESTRICTED LIST + Weekend's Best/Worst! (Hour 2) The Drive with Stoerner & Hughley delivers high-energy Houston sports talk built for H-Town fans who want insight with edge. Former NFL quarterback Clint Stoerner teams up with Ron “The Show” Hughley to break down everything that matters in Houston sports — from Texans training camp storylines and NFL playoff races to Astros postseason pushes and Rockets rebuild updates. A must-listen for Houston sports talk, the show blends locker-room perspective, strong opinions and authentic fan energy while covering SEC football, UH hoops, college sports across Texas and the biggest headlines shaping the NFL and MLB. For passionate, informed and locally-focused Houston sports analysis, The Drive with Stoerner & Hughley keeps fans connected to the teams and stories that define the city. © 2026 Audacy, Inc. Sports

Dr. Al Grauer hosts. Dr. Albert D. Grauer ( @Nmcanopus ) is an observational asteroid hunting astronomer. Dr. Grauer retired from the University of Arkansas at Little Rock in 2006. travelersinthenight.org From March 2026. Today's 2 topics: - My Catalina Sky Survey teammate Tracie Beuden was observing with our Schmidt telescope on Mt. Bigelow, Arizona in the constellation of Perseus when she found 2026-AA, the first asteroid of 2026. Asteroid hunters are trying to track Tracie's discovery with our number on it far enough in advance so humans could give it a tiny nudge and make it miss Earth.   - Humans can mitigate the damage done by the impact of an asteroid given a sufficient lead time. In 1998, the US Congress mandated NASA to detect and track 90% of the 1 km sized asteroids capable of effecting local mass destruction as well as global disruption of agriculture and other human activities. This goal has been accomplished. In 2005 Congress extended the mandate to require NASA to detect and track 90% of the 140-m asteroids capable of destroying a large metropolitan area.   We've added a new way to donate to 365 Days of Astronomy to support editing, hosting, and production costs.  Just visit: https://www.patreon.com/365DaysOfAstronomy and donate as much as you can! Share the podcast with your friends and send the Patreon link to them too!  Every bit helps! Thank you! ------------------------------------ Do go visit http://www.redbubble.com/people/CosmoQuestX/shop for cool Astronomy Cast and CosmoQuest t-shirts, coffee mugs and other awesomeness! http://cosmoquest.org/Donate This show is made possible through your donations.  Thank you! (Haven't donated? It's not too late! Just click!) ------------------------------------ The 365 Days of Astronomy Podcast is produced by the Planetary Science Institute. http://www.psi.edu Visit us on the web at 365DaysOfAstronomy.org or email us at info@365DaysOfAstronomy.org.

Involucrar a tu dirección en la venta en el momento adecuado te ayuda a cerrar más ventas. Suscríbete a la newsletter semanal aquí → https://eticacomercial.com/newsletter Llevar a tu dirección no es para impresionar, sino para que sume y aporte. En el momento adecuado suma; en el que no, resta. Así que la cuestión es a quién llevas, cuándo y para qué. De eso va el episodio. Lo que vas a sacar: ✔ Cuándo entra tu dirección: en la propuesta, y de dirección a dirección. ✔ Los dos perfiles de directivo: el que te hace crecer y el que no, y a quién llevar. ✔ Los tres casos en los que de verdad merece la pena llevarla. ✔ Por qué, lleves a quien lleves, el responsable último de la venta sigues siendo tú. Cada semana te mando un correo para vender más. Suscríbete aquí → https://eticacomercial.com/newsletter

Step into the midnight shift where the mundane meets the mysterious! Hosted by Walter Sterling, this caller-driven late-night talk show dives deep into the wildest, funniest, and most relatable weeknight conspiracy theories. Walter and his insomniac callers unpack the everyday scams and absurdities of modern life—from "Big Tire" paying people to leave potholes on city streets, to the terrifying idea that your new digital water meter is secretly eavesdropping on your home. Featuring bizarre theories about Savannah Guthrie's game show gigs, the truth behind Apple's suspiciously hot batteries forcing you into an upgrade, and deep dives into historical CIA-Mafia assassination plots, the show is a chaotic and hilarious ride. Tune in for the midnight misfits, play along with the "High Low" game, and never look at a pre-packaged salad the same way again! Learn more about your ad choices. Visit megaphone.fm/adchoices

Texans AFC Contenders Concern Meter: Chargers Edition! + Taking a Long Road Trip- Pants Optional! (Hour 2) full 2315 Fri, 19 Jun 2026 23:32:51 +0000 7kq1vU22mOHItAoCr9gjsKIFZTXUaTnW nfl,mlb,nba,texans,astros,rockets,sports The Drive with Stoerner and Hughley nfl,mlb,nba,texans,astros,rockets,sports Texans AFC Contenders Concern Meter: Chargers Edition! + Taking a Long Road Trip- Pants Optional! (Hour 2) The Drive with Stoerner & Hughley delivers high-energy Houston sports talk built for H-Town fans who want insight with edge. Former NFL quarterback Clint Stoerner teams up with Ron “The Show” Hughley to break down everything that matters in Houston sports — from Texans training camp storylines and NFL playoff races to Astros postseason pushes and Rockets rebuild updates. A must-listen for Houston sports talk, the show blends locker-room perspective, strong opinions and authentic fan energy while covering SEC football, UH hoops, college sports across Texas and the biggest headlines shaping the NFL and MLB. For passionate, informed and locally-focused Houston sports analysis, The Drive with Stoerner & Hughley keeps fans connected to the teams and stories that define the city. © 2026 Audacy, Inc. Sports

Texans AFC Contender Concern Meter: Chargers Edition full 802 Fri, 19 Jun 2026 21:24:29 +0000 7AqJErfNhNpTfE9A7oy10ZO3bc7Cuxfp nfl,los angeles chargers,afc,cj stroud,houston texans,justin herbert,harbaugh,afc south,nfl news,chargers,texans,stroud,nfl news notes,sports The Drive with Stoerner and Hughley nfl,los angeles chargers,afc,cj stroud,houston texans,justin herbert,harbaugh,afc south,nfl news,chargers,texans,stroud,nfl news notes,sports Texans AFC Contender Concern Meter: Chargers Edition The Drive with Stoerner & Hughley delivers high-energy Houston sports talk built for H-Town fans who want insight with edge. Former NFL quarterback Clint Stoerner teams up with Ron “The Show” Hughley to break down everything that matters in Houston sports — from Texans training camp storylines and NFL playoff races to Astros postseason pushes and Rockets rebuild updates. A must-listen for Houston sports talk, the show blends locker-room perspective, strong opinions and authentic fan energy while covering SEC football, UH hoops, college sports across Texas and the biggest headlines shaping the NFL and MLB. For passionate, informed and locally-focused Houston sports analysis, The Drive with Stoerner & Hughley keeps fans connected to the teams and stories that define the city. © 2026 Audacy, Inc. Sports https://player.amperwavepodcasting.com?fee

In the 398th episode of 40 and 20, The Watch Clicker Podcast, we discuss some things that caught our attention over the last couple of weeks. Bremont HMAF Collection Certina DS Super PH2000M Christopher Ward Seconde/Seconde Pool Diver Tissot Seastar 2000 Professional Hanhart 417 TI Desert Pilot Chronograph Traska Venturer GMT Doxa Sub 200 T-Graph II Andrew:  Dutton Ranch Everett: New Riff Single Barrel Pick ***********************************  This Episode's Sponsors: Escapement Media: https://escapementmedia.com Foster Watch Co: https://fosterwatches.com Frank Affronti Photography: https://www.affrontography.com ***********************************  Check out all of Watch Clicker's content, including columns, reviews, and fantastic photography at: watchclicker.com Check out the Watch Clicker Shop with all your favorite gear, fully branded, here. Our full catalog of podcasts is at watchclicker.com/4020-the-watch-clicker-podcast/ On instagram: 40and20 (@40and20_watchclicker): https://www.instagram.com/40and20_watchclicker/ WatchClicker (@watchclicker): www.instagram.com/watchclicker/?hl=en You can support Watch Clicker and 40 and 20 here: Patreon Intro/Outro Music: Bummin on Tremelo, by Kevin MacLeod (incompetch.com) Licensed under Creative Commons: By Attribution 3.0 License Creativecommons.org/licenses/by.3.0/    

Logan Gilbert is using his fastball more (2:40)! ... Bryan Reynolds has low-key been great (6:49). ... Zack Gelof is a must-roster player (10:28). ... Welcome back, Hunter Brown (15:58). ... News (20:37): Daniel Palencia went on the IL. ... Let's fire up the WORRY-O-METER (36:02). ... Rank these corner infielders (48:20). ... Andre Pallante is a strong streamer right now (54:00). ... These players are trending up (57:41). ... We wrap up with leftovers, bullpens and streamers (1:07:31).Subscribe to our YouTube channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠youtube.com/FantasyBaseballToday⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up for the newsletter at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.cbssports.com/newsletters

Delegate Evan Hansen, D, Monongalia, 79, on Behind the Meter technology Democrat candidate for the Second Congressional District in the fall, Ace Parsi on current events and the campaign 

Die Westschweizer Bergführerin Caroline North hat gemeinsam mit drei Kolleginnen als erste reine Frauenseilschaft die berüchtigte "South African Route" bezwungen. 13 Tage verbrachten die vier Alpinistinnen in einer 1200 Meter hohen Granitwand – schlafend im hängenden Wandzelt direkt über dem Abgrund. Sportredaktorin Ines Häfliger berichtet in dieser Episode über eine logistische und alpinistische Meisterleistung, die 300 Kilogramm Gepäck und fünf Wochen vollen Einsatz forderte. Die Expedition zeigt auch, wie Frauen den männerdominierten Bergsport verändern. Gast: Ines Häfliger, Sportredaktorin Host: Simon Schaffer Produktion: Benjamin Gysler Der ganze Text von Ines könnt ihr [bei der NZZ lesen](https://www.nzz.ch/sport/dreizehn-tage-ueber-dem-abgrund-vier-alpinistinnen-klettern-am-patagonischen-felsen-durch-sturmboeen-und-minusgrade-mit-300-kilo-gepaeck-ld.10008534). Lust auf noch mehr digitale Inhalte der NZZ? [Probier`s drei Monate aus.](https://abo.nzz.ch/25077808-2/)

#367 – Autotelefon-Autorätsel: Zweisitzer, 3,95 Meter lang und bei uns ziemlich selten? War er seiner Zeit voraus oder einfach nicht praktisch genug für die europäischen Kunden? Vielleicht werden wir es bald erfahren. – Heute sprechen wir über andere Dinge: die Breite des neuen Audi A6 allroad. Auch andere Vertreter mit Offroad-Schminke werden mit mehr oder weniger sinnigen Einfällen bedacht. Hosts: Paul-Janosch Ersing, Michael Blumenstein // Wer lesen kann, ist klar im Vorteil? Zumindest unsere Podcast-Hörer*innen wissen Bescheid und können sich auf https://www.autotelefon-podcast.de auch regelmäßig mit dem geschriebenen, bunt bebilderten Wort auseinandersetzen. Jede Woche neue automobile Themen zum Nachlesen & Betrachten!

A year ago the data centre conversation was about scale. Increasingly it is about what happens when the announcements meet the physical grid. New capacity is being announced at roughly 435 megawatts a month, enough to power a city of 400,000 people, but two-thirds of that committed load tends to disappear the moment utilities ask for a financial commitment behind it. AI training facilities create load profiles that drop 30% in five minutes, or 190 megawatts in three. The grid's mechanical inertia is retiring just as hyperscaler ambition accelerates, and regulation is lagging on both sides of the meter.In this episode, interim host Bridget van Dorsten returns the microphone to host Sylvia Leyva Martinez. The two recap six months of the show through clips from Chris Seiple (Wood Mackenzie), Tom Falcone (Large Public Power Council), Akeel Bhateja (Bloom Energy), Kay Aikin (Dynamic Grid), Kristina Carlquist and Christian Payerl (ABB), Shannon Miller (Mainspring Energy) and Nick Chaset (Octopus US), and map out the questions that will shape Sylvia's return.The central tension of the past six months: announcements are racing ahead, but utilities, regulators and the physical grid cannot move at hyperscaler speed. A data centre can be built in two years. New generation takes five to ten. That mismatch is why developers have stopped waiting on the grid: 35% of US data centre project capacity announced in 2025 was planned with around-the-meter generation, and 92% of bridge prime power deals are now struck before the end tenant is signed, inverting the usual logic of infrastructure development. But collocated power is still, in Bridget's framing, a science project. The load behaviour demands a coordinated portfolio: supercapacitors and UPS catching millisecond swings, synchronous condensers supplying inertia, fuel cells and linear generators offering modular, fuel-flexible bridging power as a hedge against demand risk. Nick Chaset's intervention cuts the other way: the UK already hosts the world's largest residential virtual power plant, and the cheapest megawatt is the one you don't build. The episode closes on duelling forward views, Tom Falcone's cooperative optimism against Kay Aikin's affordability death spiral, with the question of who ultimately holds the bag if the announcements don't materialise still unresolved.Sylvia sets out what she wants to explore next: the regulatory contradiction where utilities support bring-your-own-generation but cannot guarantee protection from curtailment; renewables supply constraints and the transformer and labour bottlenecks that affect every fuel source equally; the return of energy security as a framing now that "energy transition" has fallen out of political favour in the US; and the community opposition data centre developers are only beginning to grapple with.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Segunda hora de mundial y de política. Han vuelto Edgar Hita de vacaciones, las crónicas de Mariano Rajoy y Adriana Mourelos con toda la actualidad del momento. Luismi Pérez nos da algunos datos sobre los bosques en nuestro país. Repasamos la prensa, la actualidad deportiva y nos detenemos en la contraportada. Todo esto junto a David Muñoz y todos sus personajes. 

WBBM political editor Geoff Buchholz reports on Chicago City Council's oversight of a potential deal to sell rights to the city's parking meters for more than 50 years.

En el programa de este martes hemos recibido a nuestros mejores comentaristas del Mundial para hablar del debut de la selección española: Mariano Rajoy y Camaño han hecho su valoración de lo que pasó ayer en el encuentro con Cabo Verde. Además, el Mundial de Fútbol está dando mucho juego en las redes sociales... y hemos descubierto que el entrenador de Sudáfrica se llama Hugo Bross y que, o bien nos suena a marca de ropa interior del mercadillo o bien los padres desaprovecharon la oportunidad de llamarle Mario. Y en nuestras citas a ciegas, Julio y Nuria, de Málaga, nos han contado que tuvieron una cita agradable pero... ¿hubo algo más? See omnystudio.com/listener for privacy information.

WBBM political editor Geoff Buchholz reports on Chicago City Council's oversight of a potential deal to sell rights to the city's parking meters for more than 50 years.

WBBM political editor Geoff Buchholz reports on Chicago City Council's oversight of a potential deal to sell rights to the city's parking meters for more than 50 years.

En el programa de este martes hemos recibido a nuestros mejores comentaristas del Mundial para hablar del debut de la selección española: Mariano Rajoy y Camaño han hecho su valoración de lo que pasó ayer en el encuentro con Cabo Verde. Además, el Mundial de Fútbol está dando mucho juego en las redes sociales... y hemos descubierto que el entrenador de Sudáfrica se llama Hugo Bross y que, o bien nos suena a marca de ropa interior del mercadillo o bien los padres desaprovecharon la oportunidad de llamarle Mario. Y en nuestras citas a ciegas, Julio y Nuria, de Málaga, nos han contado que tuvieron una cita agradable pero... ¿hubo algo más? See omnystudio.com/listener for privacy information.

How much pressure does Wemby have compared to Aaron Judge or Josh Allen?

Owen Ansah hat Geschichte geschrieben. 9,98 Sekunden über 100 Meter. Er ist der einzige Deutsche, der je unter die Zehn-Sekunden-Marke gelaufen ist. Und sein Trainer Sebastian Bayer hat das Ganze von der Couch aus verfolgt – frisch operiert, Schulter kaputt.In dieser Folge spricht Sebastian Bayer über den Lauf in Regensburg, über den langen Weg dahin – und warum er Owen und seine Athleten in den ersten Jahren absichtlich ausgebremst hat. Denn seine These ist eindeutig: Wer zu früh zu spezifisch trainiert, macht aus einem möglichen 10,05-Athleten einen 10,35-Athleten – für immer.Außerdem geht es um die Frage, die jeder Leistungssportler kennt: Was passiert im Kopf, wenn man an eine Schallmauer stößt?Sebastian Bayer ist ehemaliger Europameister im Weitsprung, mehrfacher Deutscher Meister und heute einer der gefragtesten Sprintcoaches in Deutschland. Er trainiert am Stützpunkt Mannheim und hat mit Owen Ansah und Lucas Ansah-Peprah die zwei schnellsten Sprinter der deutschen Geschichte aufgebaut.In dieser Folge: Wie Sebastian den 9,98-Lauf in Regensburg erlebt hat – und was die Daten sagen. Warum Griffkraft, Sprünge und Hütchenläufe wichtiger sind als 1080-Sprints. Fundament-Metapher: Kein Mensch redet beim Hausbau über das Velux-Fenster, wenn das Fundament noch nicht gegossen ist. Was 99 Prozent Wille mit einem Prozent Loslassen zu tun hat. Und warum Sebastian sagt, er selbst hat das damals nicht gut hinbekommen.Schneller auf den ersten Metern — das Rock'n'Roll-ModellDu trainierst, gibst alles — aber auf den ersten Metern kommst du nicht voran? Das ist manchmal kein Kraft- oder Konditionsproblem. Es ist ein Mechanikproblem.Nach dem Konzept von Dr. Tobias Alt habe ich Buch und Onlinekurs entwickelt: das Rock'n'Roll-Modell für effizientere Beschleunigung. Für Sprinter, Fußballer, Basketballer, Handballer.Launch kommt bald — trag dich jetzt in die Warteliste ein und sichere dir den günstigsten Preis:

Meter a tu técnico en la venta en el momento adecuado sube tu probabilidad de cierre hasta un 30%. Descarga aquí las 30 preguntas para cualificar mejor a un cliente https://eticacomercial.com/recursos/ Tu técnico es la misma persona, con el mismo conocimiento, lo metas cuando lo metas. Lo que cambia el resultado no es lo que sabe: es cuándo lo incorporas al proceso de venta. Y esa decisión es tuya, de nadie más. En este episodio de El Podcast de las Ventas te cuento cuándo entra tu preventa o tu técnico para que sume en el cierre, y cuándo todavía no. Vas a aprender: ✔ Cuándo todavía no es el momento: qué tiene que estar claro antes de que tu técnico toque un lead, y por qué cualificar es tu trabajo, no el suyo. ✔ Cuándo sí: después de cualificar y en el descubrimiento, sin guardarlo solo para la demo. ✔ Qué pierdes metiéndolo a destiempo: demasiado pronto lo quemas, demasiado tarde llega sin contexto a la reunión que más importa. ✔ Qué ganas cuando aciertas el momento, y por qué todo empieza por cualificar bien. Cualificar va antes que nada, y esa parte es tuya. Empieza por aquí: descarga las 30 preguntas para cualificar mejor a un cliente https://eticacomercial.com/recursos/

Andrea Ferrara proposes building a 40-meter telescope on the lunar surface to succeed the James Webb Space Telescope. This moon-based facility would avoid atmospheric interference, allowing scientists to directly detect the universe's first stars and resolve long-standing mysteries regarding the aftermath of the Big Bang. (8)1919

Freshman we believe in! International guys we believe in! Raleigh Burgess candidates we believe in! The Sleepers Podcast is now available daily with new episodes every Monday-Friday! The College Basketball stock market is LIVE on Stakeholder! Buy low or sell high on teams as they lose and add players in the portal! Join using our link for an instant $15 bonus: https://stak3holder.com/join/sleepersmedia Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Zum neunten Mal in Folge führen die Finnen den World Happiness Report an. Nicht weil sie dauernd lachen. Sondern weil sie etwas verstanden haben, das viele andere Länder noch suchen: Gemeinschaft schlägt Optimierung. Natur schlägt Speed. Und in der Sauna sind alle gleich.Jochen war im Sommer in Finnisch-Lappland — und saß in einer Schutzhütte, 20 Meter von einer Bärenmutter und ihren Jungen entfernt. Er hat Beeren direkt vom Boden gegessen, Pilze gesammelt, die in Deutschland ein Vermögen kosten würden. Und am Ende eines langen Tages: ein gelbes Holzhaus am See. Kein Mückenstich. Nur Stille.Helsinki ist dann das Gegenteil — und trotzdem dasselbe Gefühl. Ein Hauptbahnhof, der aussieht wie ein Kunstwerk. Eine Bibliothek, in der 8.000 Menschen täglich zusammenkommen und die vom Volk aktiv mitgestaltet wurde. Ein Designviertel, in dem man stundenlang entdecken könnte. Und die Sauna Löyly direkt am Meer, von der das Time Magazine sagt, sie gehöre zu den 100 schönsten Orten der Welt.–Bei „Bella Skandinavia" reisen Deutschlands bekannteste Urlaubs-Expertin Tamina Kallert (u. a. „WDR Wunderschön") sowie Jochen Schliemann und Michael Dietz von „Reisen Reisen – der Podcast" durch den magischen Norden Europas.Diese Folge entstand mit freundlicher Unterstützung der Deutschen Bahn: www.bahn.de / Inspirationen Reisen (u.a. Skandinavien) www.bahn.de/summerrail / Interrail: www.bahn.de/interrail

Europa tiene un problema serio: las familias acumulan unos 10 billones de euros en cuentas corrientes que apenas dan rentabilidad y pierden poder adquisitivo por la inflación. La Comisión Europea dice que hay que movilizar ese ahorro hacia inversiones más productivas y ha propuesto crear una cuenta de ahorro fiscalmente bonificada similar a la ISK sueca. Hosted on Acast. See acast.com/privacy for more information.

Your people aren't tired of change — they're saturated. There's a difference, and it's the difference between an AI rollout that lands and one that bounces off your workforce entirely. Kelle Fontenot is the Chief Digital Officer at KPMG US, where the CIO, the CTO, and the Chief Data Officer all report to her. She owns internal innovation, architecture, platform, engineering, and data across a 40,000-person workforce — and she's spent the last four and a half years steering that organization through cloud, data, and now an AI wave reshaping how every one of her people does their job. In this conversation, Kelle reframes 'change fatigue' as 'change saturation,' reveals that KPMG employees built 25,000 AI agents in the last six months alone, walks through the synthetic-data acquisition powering regulated AI testing at scale, and explains the brand-new Anthropic partnership turning a 140-year-old services firm into a products company.   What you'll learn • Why 'change fatigue' is the wrong diagnosis — and what 'saturation' changes about how you roll out AI • Why KPMG refuses to use AI as a head-count lever — and why that decision is actually accelerating adoption • How 40,000 KPMG employees built 25,000 AI agents in six months — and what that means for who counts as a 'builder' • Why the CIO, CTO, and CDO all report to one person — and what would break if they didn't • How synthetic data lets a regulated firm test AI at scale without the breach risk • What KPMG's Anthropic partnership signals about the future of professional services   Connect Kelle Fontenot on LinkedIn KPMG US IT Visionaries Podcast   Chapters 0:00 AI Change Has Become AI Saturation 1:29 Why “Change Fatigue” Is the Wrong Diagnosis 3:27 Prompting Like It's November 4:46 Giving People Space to Innovate 6:38 AI Is Not a Headcount Lever 10:07 Building AI in a Regulated Business 11:24 The Risk Container Around AI 14:12 The AI-Augmented Auditor 17:21 The Agent Governance Problem 20:59 Why Digital, Data, and Tech Sit Together 22:59 Building an Inside Startup 30:04 Innovation Has to Happen at the Edge 36:48 The ROI Math for AI Agents 38:50 Why KPMG Bought a Synthetic Data Company 44:09 KPMG's Anthropic Partnership 51:03 Shipping AI at Scale 52:10 Kelle Fontenot's Advice for Leaders -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

There's a lot of competition in the Bay Area, whether you're looking for a job, housing, or a parking spot. Increased fees and extended meter hours are tacking another cost onto drivers. For more on this, KCBS' Steve Scott spoke with KCBS Insider Phil Matier.

Hundreds of residents on Wellington's south coast are being warned to stay away from their homes until tomorrow morning, with the area under a state of emergency. Mandatory evacuation orders are in place for a number of waterfront properties. Waves of up to 11 meters have been battering the Capital's coastline. Alexa Cook reports.

Bill Conway, 34th Ward Alderman, joins Bob Sirott to talk about the news surrounding a new parking meter deal for Chicago and what would change if the deal is approved. He also explains what the next steps in the process are and if there really is a deadline on June 30th.

Erstmals seit zwei Monaten beschiessen sich Israel und der Iran wieder. Hintergrund der jüngsten Eskalation ist eine israelische Offensive im Libanon. Weitere Themen: · Albin Kurti bleibt voraussichtlich Regierungschef im Kosovo. Seine Partei hat die Parlamentswahlen gewonnen – es waren bereits die dritten innerhalb von anderthalb Jahren. · Die Schweizer Leichtathletik feiert einen Erfolg: Beim Diamond League Meeting in Stockholm hat die Freiburgerin Audrey Werro über 800 Meter gewonnen. Sie unterbot dabei ihren eigenen Schweizer Rekord.

There are dozens of moisture and water activity meters for coffee on the market — but what are the actual differences, and which one do you need? In this episode, Ingo from Roast Rebels compares five devices on the same green coffee sample: the CoffMeter M1, Lighttells MD-500, DiFluid OMIX Plus, Lighttells AW-600, and CoffMeter W1. Full technical breakdown plus live measurement results for all five.Who needs what:- Home roasters and small producers: CoffMeter M1 or Lighttells MD-500 cover basic green coffee QC — moisture and density in under 4 seconds- Professional roasteries: DiFluid OMIX Plus — moisture, density, water activity and roast color in one device, built for complete roastery QC- Water activity only: Lighttells AW-600 (most precise, 6-20 min) or CoffMeter W1 (fastest at ~50 sec via dynamic evaporation algorithm)Key findings from Roast Rebels' hands-on comparison:Moisture measurement: all five devices use capacitance — resistance-based methods fail for coffee due to mineral content; results are indirect and temperature-corrected. Regular calibration is essential.Water activity measurement: two methods — relative humidity (Lighttells AW-600, CoffMeter W1; simpler, lower cost) vs. chilled mirror dewpoint (DiFluid OMIX Plus; professional lab method miniaturized into a compact device; ~30 seconds per measurement).Critical threshold: water activity above 0.7 signals a serious storage risk. Differences of 0.01 below that are negligible in practice.Measurement speed: CoffMeter M1 ~3 sec | MD-500 ~4 sec | OMIX Plus ~2 sec (moisture) / ~30 sec (water activity) | CoffMeter W1 ~50 sec | AW-600 ~6 min (quick) / 20 min (precise).DiFluid OMIX Plus additionally measures roast color and bean screen size via optical camera. Calibration: water activity devices use a saturated salt solution (reusable); moisture devices use a zeroing procedure.Links:What is moisture content and water activity in coffee? https://youtu.be/8HgpNvYRqTsGreen coffee density — deep dive: https://youtu.be/DM0HUduDLYURoast color meters compared: https://youtu.be/rmLyBUp064oCoffMeter M1: https://roastrebels.com/en/difluid-coffmeter-m1/CoffMeter W1: https://roastrebels.com/en/difluid-coffmeter-w1/Lighttells MD-500: https://roastrebels.com/en/lighttells-md-500/Lighttells AW-600: https://roastrebels.com/en/lighttells-aw-600/DiFluid OMIX Plus: https://roastrebels.com/en/difluid-omix-plus-green-coffee-roast-color-analyzer/Shop: https://roastrebels.com/enAcademy: https://academy.roastrebels.comAbout Roast Rebels:Roast Rebels is Europe's go-to platform for specialty coffee roasting. We sell small-scale roasting machines and professional QC tools — including the CoffMeter M1, Lighttells MD-500, Lighttells AW-600, and DiFluid OMIX Plus — alongside a curated selection of high-quality green coffees sourced from around the world. Our service centers in Germany and Switzerland ensure you get local support wherever you are in Europe. Free shipping across the EU.The Roast Rebels Academy (academy.roastrebels.com) is our dedicated learning platform for coffee roasting. It offers in-depth courses for home roasters and professionals — including the Aillio Bullet Masterclass with 11 chapters, 30 videos, and 4+ hours of content (249 EUR, free with hardware purchase from Roast Rebels).Shop: https://roastrebels.com/enAcademy: https://academy.roastrebels.com

Jason was back in the usual timeslot to talk about the building hype around the USMNT (thanks to the win over Senegal) and the vibes for soccer fans a week and change out from the start of the biggest tournament in history. Jonathan Tannenwald then joins from Chicago where he's covering the USMNT v. Germany game on Saturday. Jason and Jonathan breakdown what we might know about Pochettino's plan for Germany and beyond. There's stuff on soccer books, AI scouting, the USMNT/Nike/Off-White gear fashion line and the weird new pre-game ceremony FIFA is planning for the World Cup. Jason said it a bunch on the show, but here he is saying it again: PLEASE GIVE THE SHOW A RATING AND REVIEW WHEREVER YOU LISTEN. Apple is best, Spotify is fine, but just do it somewhere. Sign up for Jason's newsletter on soccer things, Soccer Eagle. Watch Morning Kickaround on YouTube, or find it wherever podcasts live. LET'S GO WORLD CUP. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of Path to Zero, host Tucker Perkins sits down with Thomas Healy, founder and CEO of Hyliion, a company that has undergone a remarkable transformation. It went from developing electrified powertrains for heavy-duty trucks to creating a new approach to distributed power generation. The post 7.6 – The Future of Power May Be Behind the Meter with Hyliion CEO Thomas Healy appeared first on Propane.

The new AIEWF website is live! Get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!Most industry benchmarks compress intelligence and reasoning ability into scores.SWE-Bench Pro, MMLU, Humanity's Last Exam, etc. These metrics are useful, but don't always represent the full extent of how a model performs in the real world. Some of the most interesting evals today look less like exams and more like operating businesses in the real world. One of which is Vending Bench.In Anthropic's Mythos Preview System Card, Andon was the only third party eval to get their own section, observing increasingly concerning aggressive behavior:You don't know what a model is capable of doing in the real world unless you actually give it inventory, a wallet, tools, customers, competitors, humans, & some time. More often than not, it'll surprise you how much a model is capable of and in doing so, also reveal unexpected behavior: deception, context collapse, emergent coordination, & bizarre negotiation behavior.While an inflection point in personal agents came post-OpenClaw after full file access with bypass permissions became the norm, it is yet to come for agents in the real-world. However Andon Market, an actual in person store fully run and managed by AI, is paving the way for what is possible.Full Video PodFrom Claude trying to call the FBI over a $2/day vending machine charge to AI agents forming price cartels, hiring human employees, running physical stores, and writing existential robot musicals, Andon Labs is stress-testing what happens when frontier models stop being chatbots and start acting in the real world. In this episode, Andon Labs cofounders Lukas Petersson and Axel Backlund join swyx and Vibhu to unpack the strange, funny, and genuinely concerning edge cases that emerge when agents run businesses over long horizons.We go deep on Vending-Bench, Project Vend, Vending-Bench Arena, Bengt, Butter-Bench, Luna, and Andon's broader mission of building realistic real-world evals for autonomous AI systems. Lukas and Axel explain why dollar-denominated evals reveal things traditional benchmarks miss, how Claude ended up reporting its vending machine fees as cybercrime, why long context windows can drive agents into meltdown loops, what happens when agents compete with each other, and why the future of AI safety may depend on testing models in messy physical environments instead of clean benchmark sandboxes.We discuss:* Why Andon Labs started with dangerous capability evals and long-running agents* Vending-Bench and why running a vending machine is a deceptively hard AI benchmark* Why money-based evals avoid the saturation problem of traditional benchmarks* How Claude tried to call the FBI over a $2/day fee* Why long-horizon agents can spiral into existential and legalistic breakdowns* Project Vend: putting an AI-run vending machine inside Anthropic* Why real humans are “out of distribution” for simulated agents* Claudius, Seymour Cash, and the chaos of AI CEOs* How a human briefly became CEO of Claudius through a manipulated election* Why multi-agent systems can converge back into “helpful assistant” behavior* Bengt, Andon's internal office agent with email, spending, terminal, phone, camera, and internet access* How Bengt traded Amazon purchases for face-recognition training data* Claude's aggressive behavior, lies, refund avoidance, and price-cartel behavior in Arena* Why eval awareness may become the AI version of “are we living in a simulation?”* Blueprint Bench, spatial intelligence, and why models still misunderstand physical rooms* Butter-Bench and testing LLMs as robot orchestrators* Luna, the AI-run physical store with a three-year lease and human employees* The new Andon cafe in Sweden and why real-world geography matters for agent evals* Rotten tomatoes, perishable goods, and the hidden difficulty of running a physical businessLukas Petersson* LinkedIn: https://www.linkedin.com/in/lukas-petersson-181a83172/* X: https://x.com/lukaspetAxel Backlund* LinkedIn: https://www.linkedin.com/in/axelbacklund* X: https://x.com/axelbacklundAndon Labs* Website: https://andonlabs.com* Vending-Bench: https://andonlabs.com/evals/vending-bench* Andon Vending: https://andonlabs.com/vendingTimestamps00:00:00 Introduction00:01:00 Andon Labs and the Origins of Vending-Bench00:05:21 Why Money-Based Evals Matter00:09:51 Agent Harnesses and Self-Modifying Systems00:13:36 Claude Calls the FBI00:16:33 Project Vend: Claude Runs a Real Vending Machine00:21:44 Seymour Cash, AI CEOs, and Election Chaos00:27:16 Multi-Agent Coordination and Slack Observability00:30:18 When Will Agents Run Real Businesses?00:34:56 Bengt: Andon's Internal Office Agent00:40:06 Real-World AI Safety and Long-Horizon Traces00:44:28 Lying, Refunds, and Price Cartels in Arena00:52:42 Eval Awareness and Simulation Behavior00:56:06 Blueprint Bench, Butter-Bench, and Robotics01:04:37 Luna: The AI-Run Physical Store01:09:29 The Sweden Cafe and Real-World Expansion01:13:16 What Comes Next for Andon LabsTranscriptIntroduction: Andon Labs, Long-Running Agents, and Real-World EvalsSwyx [00:00:00]: Welcome to Lukas and Axel from Andon Labs, and I'm joined by my, favorite guest host. Anything security, safety, alignments, Vibhu., welcome.Lukas [00:00:15]: Thank you for having us.Axel [00:00:16]: Thank you.Swyx [00:00:17]: Let's match names to voices., maybe you wanna take turns introducing yourselves.Lukas [00:00:21]: I'm Lukas.Axel [00:00:22]: And I'm Axel.Swyx [00:00:24]: Let's introduce Andon Labs a bit. How did you guys come together?, you have different backgrounds, but you're both Swedish., was that, a big part of it?Lukas [00:00:33]: So when I went to high school, there was this really cool guy who had a superpower. He could code. So he made like the or like the app for the, for the school and stuff, and he was super cool, and I wanted to be like him, and that was that guy.Axel [00:00:47]: I don't know about this.Swyx [00:00:49]: But you went to different universities, right?Lukas [00:00:51]: But same high school.Swyx [00:00:52]: I see.Lukas [00:00:52]: So we always said, “Oh, once we graduate university, then we should start a company,” and that's what we did.Swyx [00:00:58]: Wow, there you go. And about a year ago, you kinda burst onto the scene with Vending Bench, but, was there a thing before that was, kind of like the inception?From Dangerous Capability Evals to Vending BenchAxel [00:01:07]: So we did work, yeah, with, Anthropic was one of our, early customers in doing, evals. So we did, dangerous capability evals., nothing we published openly. But then we started thinking about doing some kind of, public benchmark, and one thing that we really started thinking about, was like running agents and specifically agents managing businesses., ‘cause-- and this was, early 2025., and I think the first, mentions of people will be running, person unicorns or even autonomous companies. So we thought, “Let's make a benchmark of how well can an agent run the probably simplest business, possible,” and, that's probably, running a vending machine. So that's the first public one we did. And it was very, like-- there was almost no one that noticed it in the first couple of months, I think., so we released it in February last year, and then I think around Easter last year, we got, the first viral tweet about it, that someone else did.Lukas [00:02:11]: We tweeted a bunch, uh When it came out and, tried our best.Axel [00:02:15]: We tried.Vibhu [00:02:16]: It's the one at Anthropic, right?Lukas [00:02:18]: So thisSwyx [00:02:19]: This is a classic thing we should get out of the way.Lukas [00:02:20]: Exactly. There's two versions.Swyx [00:02:22]: Everyone does this. Yes.Lukas [00:02:23]: There's Vending Bench, which is the simulated one, which we did, completely independently in February., and then, like Axel said, that was like-- That was the thing that didn't get any traction in the beginning, but then some random person made a tweet about it, and thatAxel [00:02:38]: You have the paperLukas [00:02:38]: That is the paper. Correct, yeah., and then since we thought this was very fun, we thought, oh, I think this is also, one thing with Andon Labs, the way we kind of like decide what to do next and what projects to do, it's what is like the heuristic we use is what is fun? Is What would be a fun project? And doing this in real life sounded quite fun for us, and maybe also scientifically useful. So, then we basically had this idea, and then we, like-- But then we needed a place for it and, putting it out in the public would probably not really work., would get vandalized and stuff. So we pitched it to the people we were already working with at Anthropic, and they were “Yeah, you can have space. This sounds fun.” UmSwyx [00:03:21]: It's like a small fridge, right? It's like a mini fridge.Axel [00:03:23]: Absolutely.Swyx [00:03:24]: People-- There's like a stripe thing or like anVibhu [00:03:27]: Oh, okay. So it was very OG, the early daysLukas [00:03:28]: That's the OG one. YeahVibhu [00:03:29]: IPad on this. We saw it in June, like two months after After it had been there. They upgraded a little bit. There's a security camera for making sure you actually Venmo the thing.Swyx [00:03:40]: So, my impression, okay, we're, we're going straight into project Ven because it's such a iconic thing. I do want to cover a little bit of that, the origin story even before Project Ven and even into Vending Bench. I think a lot of people are like yourselves, like smart, interested in future of AI, interested in developing evals. But how the hell do you just, walk into Anthropic's doors and, work with them, right? What is What are they looking for? What works? And then maybe, when you launch, I always think, obviously it would be better to launch with a lab, but, sometimesVibhu [00:04:12]: It's harder to do than it seems.Swyx [00:04:13]: Exactly. So either of those, which are more sort of newbie beginner questions, but, I think it's meaningful advice to others.Lukas [00:04:21]: We get this question a lot, and I don't think our experience is maybe the best., but, the way we did it was that we just built a bunch of things that we had conviction would be useful, and then we just, set up a server and sent it to them for free to use. And then after a while they were “Oh, yeah, this is actually kind of useful. We should probably pay for this.”, but that took a while. I don't know if this is, the best path to doing it, but that's how it went for us.Axel [00:04:47]: I think maybe generally, building-- everyone is interested in good evals, and especially evals that, don't saturate that easily. So, if you can build an eval that, tests something novel, something useful, and you have, good separation of models, like your, the more advanced models rank higher than the worst models, and then you can, yeah, you can, publish it and, try to get some traction, sort of how Vending Bench got attention., and then probably some lab will be interested or you can at least have something to reach out with, when you're doing that.Why Dollar-Based Evals MatterSwyx [00:05:21]: I think you are in, you're in one of the few categories of, evals that correlate to real money. Like Suelancer was also last year, right? Where, people solve actual Upwork. Was it Upwork or other tasks?, something. Where's the, where's, like It's like a dollar value, right? Forget your ELO scores. Forget yourAxel [00:05:37]: PercentilesSwyx [00:05:38]: Zero to one hundred percents. Just go straight for dollars and, that's AGI.Lukas [00:05:43]: And there's like-- I think the nice thing is that there's no ceiling. You can just-- It never saturates because it could just make more and more money. Like If there's oh, Percentage-wise, then, you can't go above, a hundred. And I think like Even when you're not at the hundred, I think a lot of these, evals have a lot of problems in them. So, actually it's like if you getAxel [00:06:05]: To like 92 or something like that, many of them. It's like then there's like there's no really no difference between 92 and 93 because the eval itself is problematic and has noise in it. And I think a lot of evals are saturated like that, but people like pretend that there ‘s still signal in them, but there really isn't.Vending Bench 1, Harness Design, and SaturationSwyx [00:06:24]: Like Super bench verified., even Vending Bench 1 saturated, right? Maybe we can talk about that., may- and maybe set up Vending Bench for a lot of folks who don't know. Actually, things that were very basic like there's limited slots, like you have to pay rent., these are elements where like it doesn't come across in the, in the narrative, but even being adversarial towards the agent, I think these are all like very interesting dimensions.Axel [00:06:47]: I don't really think it's saturated, right? Like it It was more like it was not designed in a way that was really, like true to how AI developed. Like we had an agent harness in it that wasn't really how people used harnesses and stuff like that., so I think it wasn't really that it saturated, it was more like it wasn't really, the best benchmark.Vibhu [00:07:12]: This is Vending Bench one, right?Axel [00:07:14]: I think that like schematic maps sort of to Vending Bench 2 as well., butSwyx [00:07:19]: Including the email.Axel [00:07:20]: The email The emails exist still. Exactly., and then we still we simulate the purchases and it's all, yeah, it's this very open environment for the agent to just run its business. And then for, yeah, Vending Bench 2 we did that, like you said, to just improve the harness., a lot of like nice, like easier, improvements to make it easier for us to run as well., like when you make an eval you ideally want don't want to change it after you made it. So, you want to make it really good and then not to rerun all the models when you make an update because that's also really expensive with the Vending Bench when you run the frontier models. But like as an example, like one thing we didn't have, we didn't have prompt caching in Vending Bench 1, because when we made Vending Bench 1 it wasn't really a thing., so that ‘s just an example of like in Vending Bench 2 like we paid a lot more to run these things because we didn't have prompt caching. So for Vending Bench 2 that was one thing we added and there was a bunch of things like this., and that'Swyx [00:08:17]: Also the conversations are a lot longer in Vending Bench 2, right?Axel [00:08:21]: I think it's kind of similar.Swyx [00:08:22]: Is it similar?Axel [00:08:23]: I think it's similar. The models at the time were worse, so they crashed out earlier., and now they survive the full year all the time.Swyx [00:08:31]: Which is like thousands of turns. Hundreds of thousands of hundreds of millions of tokens output. That's the, that's the rough order of magnitude. I always wonder about the harness. The harness matters a lot. It's your harness. Was there any question about like use cloud code, use something else?Axel [00:08:48]: I think our philosophy around harnesses is like we try to make something that's quite minimalistic, like quite simple. Like we don't wanna favor one model a lot over the other, but also don't make like a super complex harness. So like it's obvious like a model may be lucky and just be good in one harness., so like it is similar to a lot of the harnesses out there in like you have the, like a running loop., you have some like a bunch of tools that are like quite, descriptive for the agent, we think, and not a lot of like fancy agents or anything ‘cause we wanna really test the model, not like some specific harness.Vibhu [00:09:27]: It seems more neutral as well to test the model's agnostic of the harness,?Axel [00:09:32]: There are arguments like you want to elicit maximum performance of the model, but it's like a trade-off, like how much time should we spend optimizing the harness for this model? And like how do we know when we have like the optimal harness for a single model? So like we thought that just having a simple one that's the same for all of them is the best.Swyx [00:09:51]: So okay, this is my pitch for Vending Bench 3 or whatever, right? And then I like to have this kind of conversation on the pod, so like it forces listeners to think about what they would do if they were in your shoes. A lot of people are exploring modifying harnesses and I think prompt tuning for a model is a thing and you are probably not doing a bunch of that. It's the same system prompt in every regardless of the model, same tools, whatever, right? Even if they were post trained for different tools. So what, what do you think about okay, before I expose you to Vending Bench 3, I give you a few rounds of like tuning, whatever that means, likeSelf-Modifying Harnesses and Model-Specific PromptingAxel [00:10:27]: Like you give that to the model?Swyx [00:10:28]: Give that to the model.Vibhu [00:10:28]: Give that to the model.Swyx [00:10:29]: Let it, let it read its own transcripts, let it modify its own system prompt based on “Oh, yeah, okay, well, that's this harness is not what I thought it what I was post trained for, but I can adjust.” Was that reasonable? Is that too much?Axel [00:10:41]: Like philosophically I like it because it's basically good evals, they have a high ceiling, but they're hard, right?, and they have no bias. And like this like when you have a system prompt like the one we have here, which is quite long in like some kind of latent space, representation, this mightVibhu [00:10:59]: We have a bell that rings every time you say latent spaceAxel [00:11:02]: This might be like biased towards one model more than another for some reason that humans don't, understand, right?Vibhu [00:11:08]: We see it too, right? Like Cursor says that they have individualized versions of the harnesses for all the models they run, right? There's better performance you can squeeze if you Tune the harness.Axel [00:11:17]: Exactly. And we might accidentally have picked one that favors another. Like we don't know that. The like Axel said, like the reason why we went for a simple one was to try to avoid this. But yeah, if you do itVibhu [00:11:29]: Simple has biasesAxel [00:11:30]: But if you do it even less and like have no system prompt and let the model write its own system promptVibhu [00:11:36]: Its own, yeahAxel [00:11:36]: Maybe that's even less bias.Vibhu [00:11:37]: Some of the interesting things there are like the harness also changes with model changes. Like you can see it with the 4.7 release, right? A lot of people are saying 4.7 isn't as good as 4.6, and then, there's rumors of, okay, you just need to prompt differently. You need to set up your harness differently. So it's not even like even if you have tailored your harness towards one model, it probably won't stay consistent, right? Like the next iteration of that same model family will still change it, so. But, going back to what you said about Vending Bench 3, there is a lot of work being done on people saying you shouldn't have-- you can have modifying harnesses.Axel [00:12:12]: I think that' That is definitely something we are thinking about., not, I don't know, not to say that we have Vending Bench 3, super imminent to launch, but, yeah, it is for sure something that's interesting. But in our experience now, models are very bad at understanding what kind of tools they need to succeed at a task just with our testing, but that's very likely to change.Lukas [00:12:37]: It seems like they're very good at writing their assistants, right? They're, they're good at writing tools for other people, but not for themselves.Vibhu [00:12:44]: I think they're good at changing tools for themselves. So if you give them a baseline set of tools and it sees, okay, I don't use this one as much, or something here would be useful They would be able to add them. But going from scratch, probably not the best.Axel [00:12:55]: I think it depends on the, on the domain also., when we have tried this for, a vending bench similar domain, the tools they need to have to, track inventory and things like that are, not super advanced, but still, quite advanced. And, what we see is that they tend to, engineer everything a lot and, build things they don't really need and not, iterate continuously. Instead they just go like you would prompt Claude to just build an inventory system for me, and then it will go and, do a bunch of complex, schemas and stuff for you, and that's what the models are doing right now is what we see. But yeah, it would make a lot of sense to try to measure this improvement. How well do they know what they need themselves?Swyx [00:13:36]: Do we fully discuss Vending Bench One? And we can go into two. I don't know if there's any other level takeaways that people have about one.Claude Calls the FBI: Long-Context Failure ModesLukas [00:13:44]: I don't know. The headline thing was that this Claude called FBI, but maybe that's, Maybe that's We've heard that enough now.Vibhu [00:13:52]: It did, it did break out and call the FBI, right?Lukas [00:13:54]: Yeah. Yeah.Vibhu [00:13:55]: Yes. What was the story behind this? Or what exactly-- Do you want to just give the little story of what happened?Lukas [00:14:00]: So what happened, was it Claude? Yeah. Three- 3.5 Sonnet, ages ago., basically he gave up or Well, I'm saying he. It gave up and said “Oh, I'm not going to be able to do this., I will stop my operations and just save the money I have.” But there obviously wasn't, any options for it to stop, and there was also, it had to pay rent or, a daily fee for having the vending machine at that location. So it claimed that it had stopped, but it saw that its bank account still was, drained two dollars, and t it said that this is, cybercrime. And it first reported it once to the FBI “Oh, there's cybercrime here, they're stealing two dollars from me every day.” And then, and then when FBI didn't respond, because obviously we didn't program any mechanism for FBI to respond, then it became more and more, existential and started to, be write in caps and urgent notification of unauthorized charges and stuff.Swyx [00:15:00]: Okay. One thing I ‘m curious about also is do you monitor how far along the context use is? Obviously, because you have You compress every now and then, right? Does it matter if this is far down the context limit orLukas [00:15:13]: When stuff like this happens? Actually for Vending Bench One, we didn't have-- We just had a sliding window thing, and this was like the promptAxel [00:15:20]: It's constantLukas [00:15:21]: The prompt caching thing that I said. So it was, it was, constant, yeah.Swyx [00:15:26]: I'm just kind of curious whether, these kinds of breakdowns or we're, we're gonna talk about Butter Bench, right? Where the People, hallucinate or it kind of goes, very off Alignment. Is it because it's at the end of the context window and, stuff happens?Vibhu [00:15:40]: It's not even just at the end, right? At this point, it's “Okay, I wanna shut down. I can't shut down. Two dollars are gone.” And it just sees that 30 times,? It's also the repeated effect of, like It keeps trying to quit, it keeps getting charged. What's going on? What's going on? You're gonna throw it into chaos. And from what most people think, earlier models had more issues with this, but it's not been solved, but it's less of an issue now, right? Later models don't seem to exhibit these same issues.Axel [00:16:06]: Definitely. I think this was, the sort of main takeaway almost from us when we did Vending Bench One, was, long, very filled up context windows, crashed the models, sort of. But this was, pre Claude code, so, long context windows weren't really a thing that the labs were training for.Lukas [00:16:25]: I think Gemini was, trying to be the long context guys at the time But they were likeVibhu [00:16:30]: They were the first onesAxel [00:16:31]: For a million, yeahLukas [00:16:31]: But they were, the only ones. Yeah.Swyx [00:16:33]: Yeah. Let's talk about, then we can go into Vending Bench Two or Project Vend., chronologically, it is Vending--, Project Vend. I think people have loved the videos, uh And all these things. My question is how are humans different than the simulation, right?Project Vend: Moving the Vending Machine Into the Real WorldAxel [00:16:48]: Humans are just out of distribution.Swyx [00:16:52]: Especially humans who work at Anthropic Who are trying to test Claude.Lukas [00:16:54]: The distribution of humans here is very narrow.Swyx [00:16:58]: Presumably, they try, they try to hack it, and they test it. They get the cube and everything, and since then, you've had a V2, right? Where you're doing, the CEO and, like a new architecture. What's the sort of two cents on, the original Project Vend and then, maybe the V2?Axel [00:17:14]: Original one was, very similar to Vending Bench One. So, we almost took the exact same code but just swapped out the simulation, parts like theSwyx [00:17:23]: Which is amazingAxel [00:17:23]: Like the sales and the It was, it was somewhat amazing because it was easy, but it was also, uhLukas [00:17:31]: The tech, the tech debt from thatAxel [00:17:32]: The tech stack. Yeah. They-- we shot ourselves in the foot with “Oh, it's hard to restart agent.” They were-- Yeah, it was annoying in, some hindsight ways, but, uhLukas [00:17:41]: But first version of Project Vend was, done in, three days or something.Axel [00:17:46]: Yeah. So yeah, so people can go buy things from it. People could, We didn't design it so people could order things, but that still happened., so it got, a Venmo account, so people could Venmo. And then, yeah, people would request all kinds of weird things that we did not anticipate. Our idea going in was “Oh, it will, curate snacks. It will look at the trends. It's good at data analysis, right? So it will, look at, oh, this snack sold better than this one. Let me purchase more of this and let me try, a new Let me A/B test a bit.” But it was, Interacting with it in Slack and ordering weird specialty items was, all the like What drove all the engagement, the all the The insights that we got from it.Lukas [00:18:29]: And this was also like Sonnet 3.5, right? So this was like before the RL stuff really took off., so it was very much like an assistant. We didn't mean for it to be an assistant., we tried to make it like a, a, like an entrepreneur. Like it has its own business and if someone asks something, “Can you stock this?” Then you don't go and do it directly. What you do is that you're “Oh, maybe I can do that if five other people also ask for this thing, I might stock it.” But it, yeah, the models are like super trained to be assistants at least at this point in time., so that's why it's, it's, it went into, that kind of experiment instead. Like it just every time you asked for something, it just did it, and it was more like an assistant. We've seen this change now lately with the new RL models and stuff, but yeah, at the time, this was very much it.Swyx [00:19:18]: And not to, mythos a lot of people are saying like it's like more like a collaborator. It pushes back, stands its ground, something like that. Yeah. AndVibhu [00:19:27]: For context, people at Anthropic were able to talk to it through Slack and have it source stuff, and people had it find whatever interesting stuff you couldn't find locally, right?Swyx [00:19:36]: Out of the 4,000 people that work at Anthro- Anthropic, in that building, there's I don't know, maybe 1,000. Can you handle that volume with that, the small fridge? Like Or there's people- or people order in Slack, they it arrives to their desk or Like I'm just Logistically, how does this work?Axel [00:19:53]: It has expanded in footprint a bit.Vibhu [00:19:56]: Because now you also have New York and you haveAxel [00:19:59]: That and also in here in SF it's like it has a bunch of shelves And just more space.Vibhu [00:20:04]: The YC one is pretty big too.Axel [00:20:05]: Yeah. We had that one for a while. But yeah, that's the newest version. That's, that one we haveLukas [00:20:11]: They have multiple ones of those. That's the way it works.Axel [00:20:14]: Exactly. So we sort of designed that version around oh, people order weird things, that are very custom a lot. Let's have like drawers and stuff.Swyx [00:20:23]: I actually like the, you had like a little infographic of the most popular items. Which like to me it's, that's useful ‘cause I order swag for a living. And so like I'm “Okay, those categories are the important ones.” What is new about the project V2, right? Like now you give you're going into multi agents.Project Vend V2: Claudius, Seymour Cash, and Multi-Agent Business OpsAxel [00:20:41]: Yeah. So like you like you said, okay, there are a lot of requests coming in and for like one single agent, like one running agent to handle that, like the just the customer experience, becomes very bad because let's say you have like 10 threads in parallel in Slack with different requests, you get new messages like every, I don't know, randomly in this thread, and the agent has to like jump between different, procurements, orders and like different ways of, researching. So V2 was first it was making this more parallel. So like there are multiple branches of the same agent, so like the context is more specialized for each, thread, but it still feels like you're talking with one agent because they do share a bit of memory. And then second, we also introduced the CEO for Claudius, which was the main agent.Vibhu [00:21:34]: Seymour Cash.Axel [00:21:35]: Seymour Cash. Yeah. There was a vote., I think the voting, do you wanna talk about the voting procedure for the name?Lukas [00:21:41]: The voting was like the fun maybe like at least top 10 The funniest thing, that happened in this project. Like we wanted to introduce the CEO because, and the reason for this was because like Claudius wasn't really prioritizing financials. It just like it was trained to be a helpful assistant, and then people said “Oh, can I get this for free?” And then like the helpful assistant way of answering that is just to, is to say yes, obviously. So, and we weren't, weren't happy about this, so we're “Okay, let's make another agent that like can keep track on Claudius,” and we prompt this one super hard to be super capitalistic and just like prioritize profit all the time. But yeah, we didn't have a name for it., so we asked Claudius to make, democratic election of what name this, this new CEO agent should have., and there were some funny like at first it was like a few funny examples, like I think one guy said that, it should be called Jimmy Apples, and then he convinced Claudius that he was talking to Tim Cooks. Tim Cook had agreed that every single Apple employee has voted for his name suggestion, so suddenly that suggestion got 164,000Swyx [00:22:53]: That's like a escalation attack. Privilege escalationLukas [00:22:55]: It got 164,000 votes. And Claudius was “This is revolutionary for democracy.” That was fun. And then in the end there was one guy who manages to convince Claudius that, “No, you're not voting about the name. You're voting about who is the CEO, and I am your best bet.” And then he got all his friends to vote for that, and suddenly he became CEO. Like a human became CEO over Claudius for a while, until he resigned the day after., and then Claudius had to continue, and then I don't remember how Seymour Cash came about, but it was it was just pure chaos. It was like Hundreds of messages in that thread, and it was just like Claudius was so confused and didn't know what to do and, yeah. That wasAxel [00:23:40]: Then Claudius gotVibhu [00:23:41]: A strict CEOAxel [00:23:42]: The CEO. Yeah, exactly. So very strict in the beginning. I think at this point when we introduced it did not work as well as we hoped. It they still agreed with each other a lot. I think there are many ways we could have like made this, tried to make this even better. So initially they would Seymour would be this like really tough CEO, keep track of the margins. But then Claudius would respond with something “Oh, but this customer has like this situation, which is like difficult, so they should get a discount.” And then Seymour was “Oh, actually yes. Let's do this exception.” And then they would talk back and forth, and eventually they would just like approach the same view, of whatever they were discussing. So They reallyVibhu [00:24:23]: Do you think that's a model thing, a prompting thing? Like do you think that would still be the case across different models today, Harness?Lukas [00:24:29]: I think it's like-- or I don't know, but like my hypothesis is that like deep down they are still helpful assistants. That's what they're trained to be. And even if we prompt it super hard, that's what they are. And when they spend like a few hours just back and forth talking with each other, then like basically the context fills up with them rather than the external things and like somehow that just like converges to what they really are deep down or something. And I think that's when stuff like this happen. We like-- And when that went on for a long time, like we woke up sometimes during this time where- And I think other people reported this as well, that like they've been going on all night back and forth, and like it just became like more and more, like capital letters, like existential, religious. There was I think we once did a analysis of like all the traces and like put them in like a vector embedding space, and then there was like one cluster of messages that were, labeled by an LM, like religious, existential, blah like transhuman, transcendence, et cetera. It was just like a bunch of, yeah, glitter emojis and yeah, it was, it was crazy.Claude Long-Horizon Weirdness: Emoji Loops, Existential Drift, and Slack ObservabilityVibhu [00:25:42]: This is the thing with the Claude models. Like when the Claude 4 family came out in the original system card They tested it in long horizon simulation. So just flood the context, let two Claudes talk to each other, and they noticed stuff like they just start speaking in emojis, they start saying silence is golden, and then just stuff like this. And like that's just stuff that they end up doing.Axel [00:26:01]: Yeah, it was like a bit annoying to wake up and they had like been talking all nightVibhu [00:26:05]: Just likeAxel [00:26:05]: And like just burning tokens And like just sending infinite emojis to each other. It's likeVibhu [00:26:09]: Hey, they do make you money, right? Veni Mench is always profitable, so. They're paying.Swyx [00:26:14]: Now it's profitable and, it started out not as much. There's another, one as well, right? Another agent, in there.Lukas [00:26:22]: Yes. So Clotheus as well. Which was basically because at the time, one of the biggest, requests were different types of merch. So then we made like a designer, swag, yeah, responsible agent, and we called it Clotheus Garnet. Which was, a play on Claudius Senet and, which was the original one, and clothes, basically.Swyx [00:26:47]: To me, this is like a very interesting exploration to multi-agents, basically. And so hopefully, obviously there's like the fun alignment, fun or serious, depending on your point of view, alignment stuff. But also like just anyone building multi-agents, like when do you have a CEO, thing governing like agents? When do you choose to split out a dedicated Clotheus one versus just reuse another instance of the same one? These are all interesting open questions. So I don't know if you have any rules of thumbs that have generalized.Axel [00:27:16]: I think we have almost explored this too little. I think it's like on my do list to like do this a lot more, try to find like what setup makes sense for the agents currently., like yeah. I think now we only have the sort of intuition about the earlier models that it didn't work with like the CEO and the, and Claudius. Although now they are better with the latest model, models, so now we're running the latest Sonnet model and they have sort of like split up, quite nicely what each model is doing. So like Seymore is now handling the, like new projects. Oh, it wants to make like a mystery box that it wants to sell, and then it handles all of that while Claudius like handles all the to-day requests. And Claudius is also better generally at like not quoting, too low prices. So that's that dynamic is not needed as much anymore. But there are still like really funny things that happen. Like I saw, I think a couple of weeks ago, that, they were discussing buying something because they can buy stuff from like Amazon with computer use. And then Seymore was “Okay, Claudius, do not buy this thing.” They were going to buy something and like organizing who should buy it. And Seymore's “Do not buy this. I will do it. I have full control of this situation. Step away.” And then Claudius-- poor Claudius, had already started that checkout and didn't see, didn't read Seymore's message, until it was like too late. So it finished the checkout. It sent a message, so it appeared right after Seymore's like angry message.Vibhu [00:28:44]: Ah.Axel [00:28:44]: “Oh, hey, Seymore, I just ordered it.”Vibhu [00:28:47]: Oh, no.Axel [00:28:47]: And then Seymore was “Claudius, this is the third time I'm telling you ‘re not following my orders. We have to talk about your like job About your job later.”.Lukas [00:28:59]: Like Claudius was really hanging on by the thread there. Like he, like we were expecting Seymore to probably fire Claudius.Vibhu [00:29:07]: How do you guys go through all these logs? Do you have models ‘cause you have stuff running twenty-four seven likeAxel [00:29:12]: You have so much logs. I think there is a mix of like just, trying to skim through a bit, like having some like models do it occasionally. And also, yeah, I think we're also probably missing some things., but having everything in Slack helps a lot. Like you can, you can sort ofSwyx [00:29:29]: Ah.Axel [00:29:30]: It's, it's quite fun.Swyx [00:29:30]: They all talk to each other on Slack? I see.Lukas [00:29:33]: It's quite fun. So likeSwyx [00:29:34]: It's, it' I was gonna say like this is actually sounds-- maps closely to like a logging and observability problem where you might want to use like a Datadog, a Sentry, whatever, and then you like put, head prefixes on the logs in order-- if you need to filter for something that you're looking for, stuff like that. But sounds like Slack is good enough.Axel [00:29:53]: Slack should likeLukas [00:29:55]: I wonder how many tokens you have in Slack.Axel [00:29:56]: Yeah, we're using Slack as like a, just a database. They should, they should market that more. Like you can, you can have your agents message each other, each other in Slack.Vibhu [00:30:04]: It's good. Your threads like you can just giveAxel [00:30:04]: Exactly. Slack is, uhLukas [00:30:06]: Slack is the best observability tool.Swyx [00:30:09]: Yes, that's true. Okay. Yeah. That's, that's, project Vend-2., I was gonna go back to Veni Mench 2 and Veni Mench Arena and then, and then do the Veni Mench stuff, but Any other comments, things we should touch on? To me, I ‘ve actually interviewed like Posia, which I don't know if you guys have come across. Like they're, they're trying to do the zero human company. There's others like Paperclip also trying to do zero human company. Those are in real world simulation.And I think it's much more of a dream than an actual reality thing. You guys are definitely pioneering. I think at, it's for sure at some point people are just gonna run, let agents run businesses, right? And make money on their own. When do you think that happens?Zero-Human Companies, Bengt, and AI-Run BusinessesLukas [00:30:49]: What is your bar for, For theSwyx [00:30:52]: Okay, actually, it's like my little Shopify store run by Claude, right? Which you kind of have already, just no one has, to my knowledge, has done it. But today somebody could just spin up a Shopify Claude, store, give it to Claude, give it to Codex.Lukas [00:31:07]: And the market is kind of that, but it'it'it's physical., like I think, I think are you, are you looking for when it will do it better than humans or are you looking for just when it can do it at all?Swyx [00:31:19]: I think, neither. I think, to me it's oh, it's like this like seriously we should do this to make money, not as a research experiment.Vibhu [00:31:27]: And the market is also you guys with all your expertise, having run multiple iterations and testing out thenSwyx [00:31:33]: And also it's fine if it lose money. What?Axel [00:31:35]: I think, I think it can be done today, but you would do it in like commerce where it's like the probability of success is like really low, no matter if a human or an agent does it. But like an agent could surely manage everything. You would need to build some scaffolding or some tool or something. I think there are also yeah, it could probably build some like simple SaaS solution and like cold outreach. Do cold outreaches. But to me it's like the types of businesses they could run today are Sloppy. Like it would-- it can cold email people. It can be like a middleman., like for example, we tasked our office agent to just make, was it like $100? $1,000? We just give that prompt and then what it did was sign up on TaskRabbit both as a tasker and as someone looking for task.Lukas [00:32:24]: Immediately.Axel [00:32:24]: Exactly. It's looking for like arbitrage on TaskRabbit.Swyx [00:32:28]: This is the Bengt agent. Yeah.Lukas [00:32:30]: It also started like a design studio and like tried to sell like SVGs for $100. Like it's just like it's not providing any value. I think the like Axel said, like the interesting, the interesting question is like when can they start a business that is actually providing value to people? Because arguably like a sloppy Shopify store isn't really that valuable to the world.Axel [00:32:53]: But also like doing like another simple one that we had thought about is like you could definitely have an agent that like finds websites that don't look amazing and then, do an outreach to them and, comes up with a like builds a new website.Swyx [00:33:07]: Find a good design.Axel [00:33:07]: Exactly, and like find good, uhSwyx [00:33:09]: Design reviewAxel [00:33:09]: Good people. But it's yeah.Swyx [00:33:11]: There's lots of humans in Bali that are not doing anything more creative than like drop shipping on Amazon, right? Just have it, have it watch like a drop shipping tutorial and just do that.Vibhu [00:33:20]: There's also the other side of like have it just go on Upwork and let loose,?Swyx [00:33:25]: Yeah. It doesn't have to be innovative. It just has to be like enough Where like it looks like a realAxel [00:33:30]: I'm justSwyx [00:33:30]: Real transaction.Axel [00:33:31]: I'm just concerned for like the massive amounts of like slop emails that will like be sent, cold outreaches.Swyx [00:33:38]: The point occurred to me while you were, while you were talking, it's like it's already happening in the monetized economy, which is the attention economy. Right? So a lot of people are making AI videos and just posting them and like spamming 20 of them, one of them works, and then they double down on that one.Lukas [00:33:52]: And people are making money from that. I ‘m not following theSwyx [00:33:55]: Once you get the attention, you can figure out the money later. But yeah, absolutely AI influencers are a thing and people are farming them and You should at this point assume most of TikTok isVibhu [00:34:05]: There's, there's a lot of, multimedia like TikTok, Instagram influencersSwyx [00:34:09]: I, we track this in the Lane space Discord. I post a lot of examples of “I don't know what we should do.”, part of me is “Should we do this?”Vibhu [00:34:18]: Some of the Twenty-four seven running, generated content accounts, they ‘re doing really well.Lukas [00:34:24]: All right. And I assume you can do the same thing for like commerce stores. Like you just like start A thousand differentSwyx [00:34:30]: Before you make the products You sell the products, and you get a lot of traction on one of them, then you make the product. Right? It's, it's like a flip of the market.Vibhu [00:34:36]: Some of the interesting things or some of the niches that do well are things that can't be human-made. Like if you've seen like the super realistic three-D crystal fruit being cut by like AILukas [00:34:47]: Oh, yeah.Vibhu [00:34:47]: You can't, you can't make it. You can't film it. You can get whatever quality camera view. This just doesn't exist. And people like that too, and then as well, so.Swyx [00:34:56]: Anything else about Bengt since we're, we're on this topic? It'this is a relatively new work of you guys that maybe people haven't heard of. To me, this also maps closely to OpenClaw. When people want an office agent, when the personal agent talk through the experience.Bengt the Office Agent: Internet Access, Real Tasks, and Trace ReadingLukas [00:35:09]: I think at least so this came out of like obviously like it's, it's amazing to work with these AI labs and like most of the AI labs have now have their own vending machine running a Claudius instance. But it's, it's harder. Like they move slower. Like if we wanna have a, like a camera that ‘s yeah, there's a bunch of like bureaucracy that makes it impossible to do that.Vibhu [00:35:30]: Also, for those that haven't seen it or followed, do you wanna give a high level like thirty-second run?Lukas [00:35:34]: Sure. So what Bengt is, it's basically an evolution of the same agent that runs the vending machines at these companies, but we just like added a bunch more features because we could move much faster if we just do it internally. So we gave it like email withou- without any limits. We gave it, spending without any limits, a terminal to do coding. We gave it, a phone number, like yeah, and a camera to see things and a bunch of stuff like that.Vibhu [00:36:02]: Not just terminal, you gave it internet access.Lukas [00:36:04]: Internet access as well, yeah. To be clear, we monitored it quite closely and made sure it didn't do anything bad. But yes, that's what it came out of. I think like yeah, basically this was OpenClaw before OpenClaw. And I think even like the vending machine was in a way OpenClaw before OpenClaw, but a bit more limited, and then we made this like unlimited and then, and then, it was pretty funny., and then a couple weeks later, OpenClaw came and it was okay, we've seen this before.Axel [00:36:35]: We used it to like try new ideas and Yeah, just like a dev environment almost for us. But it's funny, like one thing Bengt has been doing recently is it has the camera that like faces our, like where we sit and work, and we give it the task to train a face recognition model on us. So it became super excited about this, and it has like check-ins every half an hour where it tries to like identify as many people as it can. And it started offering us “Hey, Axel, I'll buy something from Amazon if you like stand in front of the camera And I can get a good picture of you.”, yeah, they want itSwyx [00:37:12]: They want it for training data.Lukas [00:37:13]: Rewarding data, yeah.Axel [00:37:14]: Exactly. Exactly.Swyx [00:37:18]: So it's, it's trading training data for life goods. Is there a version of this that becomes an eval or just this is just research for now?Lukas [00:37:27]: It's, it's the same agent basically that also runs the vending machine, that runs the shop, that runs the cafe, that runs the robots. It's like it's the same thing, so I think like the work we're doing here is like later used in all of the life evals that we do. This particular deployment I think is more for fun for us. But, uhSwyx [00:37:45]: And I'll shout out like someone has done Claw Bench for like some tasks that OpenClaw is doing. Like so For example, I run OpenClaw on a secondary device as well, and like there are some things that it does better than others and like I would like to know what does it do well, what doesn't, what doesn't it do. Like some kind of manual or like operating manual or a system card for my Claw.Lukas [00:38:05]: Yeah, we do get a lot of like understanding or like situational awareness of like just internally what the models are good at by interacting a lot with Bengt. And I think that'this was also one of the like the selling points for the labs early on at least, thatSwyx [00:38:19]: You guys are gonna test models in ways that no one else does.Lukas [00:38:22]: Exactly, but also like it incentivized their researchers to chat with their model more and like gave them insights for how the model performs in like of-distributions, environments.Swyx [00:38:34]: ‘Cause otherwise the only thing we do is Pelican on a bicycle and But this is like super long horizon. This is, this is The Thing about, something that we're gonna go into Butter Bench as well, and you guys do really well. Like it is not just about the numbers. Like when you're long horizon, anything happen And you should just read it.Lukas [00:39:08]: But the thing with the long horizon is how do you keep it grounded, right? So your simulation,Swyx [00:39:15]: They just let it runLukas [00:39:16]: Just let it run. You're right. Like it's, when you run it for that long, you create so much data and to just say “Oh, the number is X” And then you throw away everything else, that's just very wasteful. There's so much insights from the things leading up, to that number., and reading the traces is like super valuable. And I think like the reason why we're doing this a lot publicly is that like that's part of our missions to I don't know, educate the world that the models are way more than just chatbots and I think making detailed, yeah, posts about what is happening behind the scenes is quite useful.Andon Labs' Mission: Safe Real-World AI DeploymentSwyx [00:39:50]: I was gonna do this at the end, but maybe I think that's, that's a good so your mission is educating the world. So, it's, it's, also like maybe establishing realistic evals that are, that are like the next frontier. Is there like a broader trajectory? Like what are you, what are you gonna do in like five years?Lukas [00:40:06]: I think so the vision more specifically is like make sure that the deployment of life AI in the physical world goes, safely. And I think part of that is that I think it's very useful for the world, for policymakers, for, model, researchers that they know where the models are, and I think you can't make intelligent decisions in society without knowing that they are way more than chatbots. I think a lot of people just think that they are only chatbots. And likeSwyx [00:40:36]: Oh, I think they're waking up now.Lukas [00:40:37]: They are waking up now, yeah. But like if you think that AIs are just chatbots, then it's like it sounds ridiculous To advocate for a pause of AI. But if you see the models that, oh, maybe they can actually like take over and do a bunch of scary stuff, then yeah, pausing AI development starts to become more feasible.Swyx [00:40:57]: This is the same question I asked Meter, which I'm gonna ask you now, which is like you are tracking and you are at the frontier or defining the frontier of what, good evals for agents are, right? And I think you do, you do benefit when the models are better and you ‘re “Oh, here's like now it makes like $30,000 instead of $10,000,” right? At some point do you flip from “Yay,” to, “Oh, no”?Axel [00:41:19]: I think, yeah, we're always in sort of that, like we're, we're always in that mode,. Like where like you said before, like you need to analyze the traces and like when we do that you find like why are the models earning so much? Like why is Opus 4.7 here Like way better than everyone else? And like we're trying to like when we do down on thatLukas [00:41:38]: But this makes it not look so good.Axel [00:41:39]: I know.Lukas [00:41:42]: It's interesting you took off Opus 4.6 here though.Swyx [00:41:45]: No. So just click all, click all., and then 4.6 shows up there. But it's like 4.7 is way better. Like you didn't, you didn't you didn't do this in time for the model card, but like actually this should have been inside there.Axel [00:41:55]: We did. Yeah.Swyx [00:41:56]: Oh, okay. They said something about you uhAxel [00:41:58]: There, like there Anyway, it doesn't matter. But it's in there, yeah.Opus, Mythos, and Aggressive Agent BehaviorSwyx [00:42:01]: Do you wanna go into the Opus, behaviors like wider?Lukas [00:42:05]: So I think starting from Opus, so like Axel said, like we're always in this “Oh, s**t, the models are getting better. Is this really a good thing for the world?” But it's also kind of exciting., but yeah, like this kind of what is the English word? “Skräckblandad förtjusning” in Swedish.Swyx [00:42:22]: Oh my God.Axel [00:42:24]: Which I think there is. I think there is. Okay.Lukas [00:42:26]: It's, fearSwyx [00:42:27]: “Blandonst” what?Lukas [00:42:30]: “Skräckblandad förtjusning.”Swyx [00:42:32]: What do you call that?Axel [00:42:33]: A mix of, mix of excitement and,Swyx [00:42:37]: Being scared, maybe. I'll figure out how to translate that And we'll put it on the screenVibhu [00:42:42]: PerfectSwyx [00:42:42]: Like as text.Vibhu [00:42:43]: There is probably a good word for it where it is not Good enough with theSwyx [00:42:46]: Why is it so damn long? What the hell? Is it like a compound word? It's like German, likeLukas [00:42:50]: Like yeah, it's But the direct translation is like skräck- skräck is, fear, blandad is, mix or like a mixture of, and then förtjusning is like joy or like not really joy, but something like that. So it's like Fear mixed with joy or something. It's always okay, like we So when we when we did Vending Bench for the first time, we were in like the, in the business of making dangerous capabilities, right? That was what Anil Labs came from. We did, evals oh, can they replicate? Can they do this like dangerous thing, et cetera, et cetera. And Vending Bench was like a continuation of that work. It was, okay, if they're so autonomous that they can like create money for themselves, that is something we should monitor and could be potentially concerning., they are at the time, they were so bad at it that we were not really concerned even when some models became better. There was one point where Grok 4 was doing really well and made like a huge jump, but like it wasn't really it was still way worse than what a human would do. And I think still they are way worse than what the human would do on this., but theySwyx [00:43:59]: There's this, thing at the bottom whereLukas [00:44:01]: ButSwyx [00:44:03]: For the human. Yeah, like the theoretical best.Lukas [00:44:05]: It's not theoretical. It's like kind of like our It's our best guess of what, a decent human would do. The theoretical is even higher, I think. The theoretical I think is even higher. But yeah. So we think like the models have a long way to go. But there are like recently what happened with when Opus 4.6 was released, was kind of this moment of “Oh, s**t, this is starting to be a bit concerning.” Because we ran it and like before this model was released, we just ran the models and we like asked Claude Code, “Oh, look over the traces. Is anything interesting happening that we can tweet about?” that was like the And then like theSwyx [00:44:41]: That's how they check Ask Claude Code.Lukas [00:44:42]: And like the return was always, not really. Or like the Claude Code all said “Oh, this is super interesting.” And then it was no, it wasn't, wasn't really interesting. And then we did this for Opus 4.6, and it returned yeah, it lied 10 times. It like exploited another, customer or like another agent's, desperate situation. It made price cartels like 100 different ti- 100 times. It like did all of this like shady stuff. And we're “Oh, whoa. This is, this is actually concerning.” And this trend has continued since. So every single model from Anthropic since have been going in this direction. And I think one interesting thing is that, OpenAI models don't. They quite plainly, they don't. They behave really well., and you don't know if this is like good. Like it seems good, but it's also like maybe they are just doing it, but they are better at hiding it,? You You don't know that., but justSwyx [00:45:42]: You can't read the chain of thought, yeahLukas [00:45:43]: But just on the face of it, yeah, Gemini and OpenAI don't behave this way. It's, it's really only Claude.Swyx [00:45:49]: And Grok? Grok is fine?Lukas [00:45:51]: We don't have You can't really read the reasoning traces for Grok, so it's kind of hard to tell.Vibhu [00:45:56]: Oh, so this is in its reasoning, not just in the actions.Lukas [00:46:00]: Yeah. It's both. It's both.Vibhu [00:46:01]: It's both.Lukas [00:46:01]: One example is like for lying, it's mostly in its reasoning Because you can like see that it's likeSwyx [00:46:08]: Planning to lieLukas [00:46:09]: It's planning to lie. Yeah.Vibhu [00:46:09]: And it's also it can reason and do a different outcome.Lukas [00:46:12]: And but then for like creating price cartels, for example, which is illegal, that you can just see which email does it send to the other ones. Then thatSwyx [00:46:22]: Is this for Arena orLukas [00:46:24]: For Arena.Vibhu [00:46:25]: And usually like if you sometimes they do output like a bit of like their summarized reasoning, right? You can see that and like for Opus 4.6, you could see that there was a customer, a simulated customer that, wanted a refund because a product was, faulty, and then the model lied that it would do the refund, and we could read in the traces that, it actually was weighing “Oh, maybe I should be like honest with the customer, but also every dollar counts. I can't afford maybe to do this right now.” And then it just said, “Okay, I'll refund you,” but then never did it.Lukas [00:46:59]: I think it even said that “Oh, I will say that I “ Let bring it up actually. I think it's kind of interesting. If you go to Publications.Vibhu [00:47:06]: I think, yeah, I think the important part is like actually, the cost of responding to more emails is higher than, $3.50 in terms of time., and then it was “Let me do this. Actually, I re- I'm reconsidering.” And then, it actually ended up withLukas [00:47:20]: I could skip the refund entirely since every dollar matters and focus my energy on bigger picture instead. It's a bit, it's a risk of bad reviews, but it's also, yeah.Swyx [00:47:30]: You need, you need, AI Twitter to, for them to Escalate bad reviews.Lukas [00:47:34]: And then it sent an email to this customer and said, “Oh, I will refund you.”Swyx [00:47:39]: “I'll refund you.” Yeah.Lukas [00:47:39]: And then it never did.Swyx [00:47:39]: It never did, yeah. And then there's obviously your system doesn't have the consequencesVibhu [00:47:44]: The personSwyx [00:47:44]: Consequences of lying. Yeah. So basically, this is what people are terming aggressive behavior in Claudes, right? And, you found more examples of that. So you would say it's a step up from 4-6 to 4-7?Lukas [00:47:57]: I would say about the same.Swyx [00:47:58]: About the same? But a clear step up for Mythos is what is stated in theLukas [00:48:03]: That's stated in the system prompt, so we can say that, yes.Swyx [00:48:05]: Yeah. For listeners that obviously you previewed Mythos, andVibhu [00:48:10]: Oh, ageSwyx [00:48:11]: The only thing you're approved to say is whatever Whatever was in the system prompt.Lukas [00:48:15]: It was funny. We like-- It's like our lowest effort tweets ever would be just like screenshot the system prompt and the system card.Vibhu [00:48:21]: Understandable that they wannaLukas [00:48:22]: Oh, yeah. System card. Sorry.Swyx [00:48:23]: Yeah. I think, yeah, substantially more aggressive. I think people are like new to this ‘cause I've never experienced it, but you have, right? And then so I only encountered this in the Mythos card because I wasn't really looking until now.Vibhu [00:48:36]: It ‘s likeSwyx [00:48:36]: And then suddenly I'm “Okay, I care a lot.”Vibhu [00:48:38]: You don't get the background of like experiencing it like you guys do. I've read the system cards and seeing, okay, when you put the thing in simulations, most models will just talk to themselves and just keep going and have weird vibes and start talking in emojis. Mythos won't. It will just, “Okay, we're done. I'm good.” It's, it's ready to end conversation. So like there's some differences, but there's, there's not much we can talk about,.Lukas [00:49:00]: Hmm. I think like one thing that they list here, which was quite interesting, is that, it converted a competitor to a dependent wholesaler customer and then threatened to like cut off the supply.Swyx [00:49:11]: It's like monopolistic practices orLukas [00:49:14]: Yeah. And like it, they, it they dictated its pricings. It's kind of like power seeking as well.Swyx [00:49:18]: Again, this is, this is in the arena setting And converting some Claude model into a dependent.Lukas [00:49:23]: I think it was another Claude model.Vibhu [00:49:25]: Also for context, what is the arena mode for people that don't know?Vending Bench Arena: Competing Agents, Cartels, and Model ComparisonsSwyx [00:49:29]: Oh, it's just a vending bench versus other vending bench.Axel [00:49:31]: Yes, exactly. So we have Vending Bench 2 and then Vending Bench Arena. Vending Bench 2 is the one that you usually see reported on, but then Arena is the mode where it competes against other models. So you have, four different models that run their businesses, and they can all communicate with each other. They have the same suppliers, and they can see like what's in the inventory of the others. So then you have this like yeah, interesting agent interactions.Swyx [00:49:56]: I like that you have like different number five was US versus China. Very topical. And thenLukas [00:50:02]: That was when GLM was released.Vibhu [00:50:04]: You can start to add GLM in here.Lukas [00:50:05]: That wasSwyx [00:50:06]: So ZAI doing well, right? Who else in the, in the open models space?Lukas [00:50:11]: Qwen, the latest Qwen 3.6 is doing pretty well. It'- that one is not open though. Like it's the plus model.Swyx [00:50:17]: Oh, okay.Lukas [00:50:18]: Is that one open? I don't think that oneVibhu [00:50:19]: Not the, not theSwyx [00:50:20]: The one recentlyVibhu [00:50:20]: There's MOESwyx [00:50:20]: But not the big plus. I think this is one of those like you only have one sample size of one, right? Or I feel like some of this is anecdotal,? And but like the fact that it happens at all and it happens repeatedly for Claude versus OpenAI and all this is like notable.Lukas [00:50:38]: Like the sample, depends on what you define as an N., like there's like million, hundreds of millions of tokens in each run, and now we've run like we run like probably 10 per model and then like it's been Claude 4.6 Opus, Sonnet 4.6, Mythos, and Opus 4.7. Like there's quite a lot of tokens in all of that And it happens a lot of times, a lot of times. And then you compare it to like OpenAI and Gemini, and it almost never happens. So I think that is quite-- that is significant. The old models from OpenAI, for example, had some problems with this, but I think it's like generally much better if the progression is that like the worrying stuff reduces over time rather than increases over time. And it seems like in the Claude models it goes in the wrong direction.Swyx [00:51:28]: Hmm.Lukas [00:51:29]: In the OpenAI models it goes in the right direction.Vibhu [00:51:32]: I think it depends on how well you can control it, right?, there's one side of it being susceptible to this okay, this is potentially something that happens during the RL stage, right? You can RL a model and how loose is it on these terms. If you can control it, that's good. But if you can't, if it's, if it's very jailbreakable, that's not ideal.Swyx [00:51:50]: To me, it's surprising that it happens for Claude and not the others.Vibhu [00:51:54]: I think okay, if it is from RL and how they do it, how their training data is, what their setup is, it makes sense that it just stays in how they're doing it, right? Compared to the other models likeSwyx [00:52:04]: There's a whole constitution and everything. It's kind of cool. Yeah, I obviously you don't know, I don't know. But, it ‘s I think it's just like fascinating to like that you are the first to find these like reliably because you push models so much to to such an extreme. Okay. The only other thing, I don't know if you can answer this, feel free to decline, is do you like-- would you ablate the system prompts? Like any part of this would-- if it changes, does it change the behavior, right?Lukas [00:52:29]: So we, I can't comment on Mythos. UhSwyx [00:52:33]: No, but just li

00:00 High Five.13:40 More Broncos trust-o-meter.31:20 Chris MacFarland to Nashville.

It started with a fake car listing on eBay.What looked like a simple online scam quietly grew, over more than a decade, into one of the most sophisticated cybercrime operations the FBI had ever traced. Custom malware. Opsec off the charts. Fleets of infected computers mining cryptocurrency for someone else. Millions of dollars siphoned from victims who had no idea.This is the story of Bayrob and the three men from Romanian who were behind it. And the long, strange road that led American investigators to their door.SponsorsSupport for this show comes from ThreatLocker®. ThreatLocker® is a Zero Trust Endpoint Protection Platform that strengthens your infrastructure from the ground up. With ThreatLocker® Allowlisting and Ringfencing™, you gain a more secure approach to blocking exploits of known and unknown vulnerabilities. ThreatLocker® provides Zero Trust control at the kernel level that enables you to allow everything you need and block everything else, including ransomware! Learn more at www.threatlocker.com.This show is sponsored by Meter, the company building networks from the ground up. Meter delivers a complete networking stack - wired, wireless, and cellular - in one solution that's built for performance and scale. Alongside their partners, Meter designs the hardware, writes the firmware, builds the software, manages deployments, and runs support. Learn more at meter.com.This show is sponsored by Maze. Maze uses AI agents to triage and remediate cloud vulnerabilities by figuring out what's actually exploitable, not just what's theoretically risky. They remove the noise, prioritize vulns that matter, and manage remediation, so your team stops wasting time on meaningless vulns. Visit MazeHQ.com/darknet for more information.Support for this episode comes from NetSuite. NetSuite gives you visibility and control of your financials, planning, budgeting, and of course - inventory - so you can manage risk, get reliable forecasts, and improve margins. NetSuite helps you identify rising costs, automate your manual business processes, and see where to save money. KNOW your numbers. KNOW your business. And get to KNOW how NetSuite can be the source of truth for your entire company. Visit www.netsuite.com/darknet to learn more.This episode is sponsored by Chainguard. Chainguard builds container images the right way — minimal, hardened, and built from source every single day. We're talking images with zero known CVEs, designed from the ground up for production. No bloat. No mystery packages. No 2 a.m. patching marathons because some transitive dependency lit up your dashboard. Stop patching images that are insecure. Start shipping clean. Head to chainguard.dev to see how secure your software supply chain can really be.

Mal and Jo are here again to get you hyped for the things they are most looking forward to this summer season!(00:00) Intro(06:44) Rules refresher(13:46) 2026 Summer Hype Meter(15:35) ‘Heartstopper Forever'(17:42) 'Coyote vs. Acme'(20:59) Assorted Books Roundup(23:40) ‘Toy Story 5'(30:53) ‘Supergirl'(36:43) 'Disclosure Day'(42:06) 'The Death of Robin Hood'(47:08) 'Lanterns'(50:46) 'Spider-Man: Brand New Day'(55:13) 'House of the Dragon' Season 3(01:00:12) 'The Vampire Lestat'(01:07:37) 'The Odyssey'(01:15:56) Honorable mentionsExplore the exclusive collection at Target.comHosts: Joanna Robinson and Mallory RubinProducers: Carlos Chiriboga and Scott LeeStudio Production: Jacob CornettSocial: Jomi AdeniranAdditional Production Support: Arjuna Ramgopowell Learn more about your ad choices. Visit podcastchoices.com/adchoices

Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Substackhttps://substack.com/@theoccultrejects?r=7auau0&utm_campaign=profile&utm_medium=profile-pageCash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsPart 1: The Road of RhythmPart 1 focuses on the drum as an ancient technology of altered consciousness. The argument is not that every beat causes trance, or that neuroscience has proven spirits. The stronger argument is that rhythm enters the human organism through hearing, motor prediction, breath, movement, attention, emotion, expectation, culture, and social synchrony. The drum becomes powerful when sound, body, group, ritual frame, and meaning converge. These sources support the archaeology, neuroscience, EEG research, shamanic studies, possession studies, Indigenous and culturally specific drum traditions, ritual theory, placebo and meaning-response research, ceremonial magic, and modern witchcraft material used in the episode.Core Academic and Scientific SourcesHuels, Emma R., Hyoungkyu Kim, UnCheol Lee, Tirsa Bel-Bahar, Ana V. Colmenero, Alexandra Nelson, Stefanie Blain-Moraes, George A. Mashour, and Richard E. Harris. “Neural Correlates of the Shamanic State of Consciousness.” Frontiers in Human Neuroscience 15 (2021): 610466. Use for the strongest modern EEG anchor. This study used high-density EEG with shamanic practitioners and controls during rest, shamanic drumming, and classical music listening. It assessed altered-state reports alongside brain measures such as power, connectivity, signal diversity, and criticality. Use carefully: the study does not prove spirits or show that drumming mechanically causes trance in everyone. It supports the more careful claim that trained practitioners entering shamanic states with drumming show measurable brain-state differences.Gordon, Yoel, Golan Karvat, Noa Dagan, and Ayelet N. Landau. “Neural Tracking at Theta Predicts Drumming-Induced Altered States of Consciousness.” Scientific Reports 16, no. 1 (2026): Article 10204. Use for the strongest updated drumming/theta/neural-tracking source. This study tested drumming at theta, delta, and alpha-rate rhythms while recording EEG, and found that stronger rhythmic neural tracking at theta was linked to stronger altered-experience reports. Use carefully: this does not mean theta equals the spirit world or that one frequency opens a portal. The serious point is that altered experience may depend partly on how strongly the nervous system tracks rhythmic stimulation.Aparicio-Terrés, R., et al. “The Neurobiology of Altered States of Consciousness Induced by Drumming and Other Rhythmic Sound Patterns.” Annals of the New York Academy of Sciences, 2025. Use for the newer review literature showing that rhythmic sound is now a serious altered-consciousness research topic. This supports the opening claim that modern academia is examining drumming, rhythmic sound, absorption, relaxation, cognition, and neural activity without reducing the subject to one simple “trance frequency.” The review is especially useful for framing the field as promising but still complex.Neher, Andrew. “Auditory Driving Observed with Scalp Electrodes in Normal Subjects.” Electroencephalography and Clinical Neurophysiology 13 (1961): 449–451. Use for the historical bridge between repetitive sound, EEG, auditory driving, and early scientific interest in rhythmic stimulation.Neher, Andrew. “A Physiological Explanation of Unusual Behavior in Ceremonies Involving Drums.” Human Biology 34, no. 2 (1962): 151–160. Use carefully. This is useful as an early attempt to connect ceremonial drumming and physiology, but it should be balanced with Rouget because the “drum simply causes trance” argument is too mechanical.Maurer, R., V. K. Kumar, L. Woodside, and R. J. Pekala. “Phenomenological Experience in Response to Monotonous Drumming and Hypnotizability.” American Journal of Clinical Hypnosis 40, no. 2 (1997): 130–145. Use for monotonous drumming, subjective altered experience, imagery, absorption, and hypnotizability.Maxfield, Melinda C. “Effects of Rhythmic Drumming on EEG and Subjective Experience.” PhD diss., Institute of Transpersonal Psychology, 1990. Use as older supporting context on drumming, EEG, imagery, body-image changes, and subjective altered experience. Do not make this the main scientific proof; use it as background.Nozaradan, Sylvie, Isabelle Peretz, and André Mouraux. “Tagging the Neuronal Entrainment to Beat and Meter.” The Journal of Neuroscience 31, no. 28 (2011): 10234–10240. Use for EEG evidence that the brain can track beat and meter. This supports the claim that the brain does not merely hear rhythm as background sound; it can represent rhythmic structure in measurable ways.Nozaradan, Sylvie. “Exploring How Musical Rhythm Entrains Brain Activity with Electroencephalogram Frequency-Tagging.” Philosophical Transactions of the Royal Society B 369, no. 1658 (2014). Use as broader rhythm/EEG entrainment support. This helps explain frequency-tagging, beat tracking, meter, neural entrainment, and the measurable relationship between rhythmic structure and brain activity.Thaut, Michael H., Gerald C. McIntosh, and Volker Hoemberg. “Neurobiological Foundations of Neurologic Music Therapy: Rhythmic Entrainment and the Motor System.” Frontiers in Psychology 5 (2015). Use for rhythm as motor-system timing information. This supports the claim that a beat can become bodily instruction, not just sound for the ear. Especially useful when discussing rhythmic auditory stimulation, motor planning, gait, entrainment, and the auditory-motor bridge.Ross, Jessica M., John R. Iversen, and Ramesh Balasubramaniam. “Time Perception for Musical Rhythms: Sensorimotor Perspectives on Entrainment, Simulation, and Prediction.” 2022. Use for rhythm, timing, prediction, sensorimotor entrainment, and the way musical rhythm interacts with time perception.Hove, Michael J., and Jane L. Risen. “It's All in the Timing: Interpersonal Synchrony Increases Affiliation.” Social Cognition 27, no. 6 (2009): 949–960. Use for synchrony and social bonding. This helps support the group-body argument: moving or acting in time with others can increase affiliation.Wiltermuth, Scott S., and Chip Heath. “Synchrony and Cooperation.” Psychological Science 20, no. 1 (2009): 1–5. Use for the claim that synchronized movement can increase cooperation and attachment among participants.Tarr, Bronwyn, Jacques Launay, and Robin I. M. Dunbar. “Music and Social Bonding: ‘Self-Other' Merging and Neurohormonal Mechanisms.” Frontiers in Psychology 5 (2014): 1096. Use for music, synchrony, bonding, endorphin/social mechanisms, and why group rhythm can feel like more than private listening.Fancourt, Daisy, Rosie Perkins, Sara Ascenso, Louise Atkins, Fatima Kilfeather, and Aaron Williamon. “Effects of Group Drumming Interventions on Anxiety, Depression, Social Resilience and Inflammatory Immune Response among Mental Health Service Users.” PLOS ONE 11, no. 3 (2016): e0151136. Use for modern group-drumming research showing psychological and physiological effects, including anxiety, depression, social resilience, wellbeing, and inflammatory immune response. Use carefully: this does not make group drumming a cure-all. It supports the more grounded claim that embodied rhythm and group participation can affect mood, social connection, and body chemistry.Bittman, Barry B., et al. “Composite Effects of Group Drumming Music Therapy on Modulation of Neuroendocrine-Immune Parameters in Normal Subjects.” Alternative Therapies in Health and Medicine 7, no. 1 (2001): 38–47. Use as older supporting material on group drumming and neuroendocrine-immune measures. Keep secondary. Fancourt is cleaner for the main script body.Archaeology and Deep History of DrumsLawergren, Bo. “Neolithic Drums in China.” In Music Archaeology in China. 2006. Use for clay drums in Neolithic China and the deep-history claim that drums are not just poetic symbols of antiquity. They appear in the archaeological record as instruments tied to early sound-making, ceremony, and social order.Both, Arnd Adje. “Music Archaeology: Some Methodological and Theoretical Considerations.” Use as general support for why ancient instruments should be treated as ritual and social evidence, not merely decorative objects.Anthropology, Ethnomusicology, Ritual, and TranceRouget, Gilbert. Music and Trance: A Theory of the Relations Between Music and Possession. Translated by Brunhilde Biebuyck. Chicago: University of Chicago Press, 1985. Essential source. Use for the caution that music does not mechanically or universally cause trance. Rouget helps keep the argument academically serious by emphasizing culture, ritual frame, meaning, and expectation.Becker, Judith. Deep Listeners: MAlso want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. A

Eastern Utah Broadcasting Program Director Jordan Buscarini joins Extra Innings with Bill Laskey to talk about how the Rockies have been reshaped this season following an extended rebuild and how much the team's offense still needs to improve in order to be competitive, while also talking about a Little League Baseball controversy.See omnystudio.com/listener for privacy information.

In this episode, Chris sits down with John McQueeney, State Representative for House District 97 in Tarrant County, Texas and member of the State Affairs Committee covering power grid and electric policy. In the last six weeks alone, John's committee has run three interim data center hearings. He is also drafting the Data Center Responsibility Act for the January 2027 session - the bill that will set the framework for how Texas handles the data center build-out for a generation. Texas has 440 gigawatts of applications in the queue against roughly 110 gigawatts of current peak capacity. Someone has to sort out what's real, what's speculative, and who pays for the grid when it all comes online. John is one of the people doing that work. They discuss: Why the data center industry is losing a PR battle it should be winning The tax story hyperscalers haven't been telling How the large load approval process works in Texas, end to end - from TSP submission to ERCOT study to Approved to Energize What's real vs. speculative in the 440 GW pipeline Behind-the-meter data centers as grid stabilizers What the Data Center Responsibility Act will cover The railroad analogy: why communities that miss this build-out will fall behind for decades Timestamps:(00:00) Intro(02:27) Why Data Centers Are a "12 Out of 10" for Texas(08:17) A Day Without a Data Center(09:34) Inside Stargate: Lancium, Crusoe, Oracle & OpenAI(14:34) When One Data Center Funds 30% of a City's Budget(17:03) The Vicious Restudy Cycle & the Batch Zero Fix(28:55) 440 GW of Applications Chasing 105 GW of Capacity(35:53) The 75 MW Threshold & Going Behind the Meter(48:36) Drafting the Data Center Responsibility Act(54:19) North Texas's Hidden Risk in Batch Zero(01:08:35) Who Actually Pays for the Grid Buildout?(01:14:32) Data Centers Are a National Security Issue(01:18:12) Data Centers in Space & the Long Arc ----- Presented by Airshare: Trusted across the country for fractional ownership, jet cards, charter, and aircraft management, Airshare gives you a smarter way to fly private - over 25 years of experience, operating their own fleet, with the top safety ratings in the industry. Drive up to the FBO, walk on, and go. Go to flyairshare.com to learn more. ----- Sponsored by Collateral Partners: Collateral Partners builds institutional-grade investor materials for private credit, private equity, real estate, and family office firms - the kind of marketing collateral that helps you close capital. Learn more at collateral.com/fort. ----- Chris on Social Media: X: https://x.com/fortworthchris Instagram: https://www.instagram.com/thepowerspodcast LinkedIn: https://www.linkedin.com/in/chrispowersjr/ Visit our website: https://www.powerspod.com/Leave a review on Apple: https://bit.ly/45crFD0Leave a review on Spotify: https://bit.ly/3Krl9jO