Podcasts about V3

On the KMOJ Morning Show, Malik Rucker, founding Executive Director of V3 Sports, joined Freddie Bell for the "Community Builders Series" to discuss his North Minneapolis roots and the experiences that inspired his mission to invest in the community through health, wellness, and opportunity. A fifth-generation Northsider, Rucker reflected on the vision behind V3 Sports and how the organization has grown from a one-person operation into a major nonprofit serving families through fitness, aquatics, youth programming, and education. He explained that V3's mission extends far beyond athletics, focusing on building healthier communities, creating access, and strengthening economic empowerment through intentional partnerships with Northside businesses. Rucker also shared the pride he feels seeing the completed first phase of the V3 Center in action and looked ahead to Phase II, which will bring an Olympic-sized pool and expanded programming to further serve the community. 

Send us Fan MailThis message centers on the profound truth that the mystery of God's redemptive plan—formerly hidden but now revealed—is the unity of Jew and Gentile in one body, the Church, through faith in Christ. Drawing from Ephesians 3, it emphasizes that this inclusion was not part of the Old Testament revelation but was made known by the Holy Spirit to the apostles and prophets, fulfilling God's promise to Abraham that all nations would be blessed through his seed, Jesus Christ. The preacher underscores Paul's identity as a prisoner of Christ for the Gentiles, not as a victim of circumstance, but as one divinely positioned to proclaim this inclusive gospel, demonstrating that God uses every situation—especially suffering and imprisonment—for His greater purpose. The message calls believers to embrace their identity in Christ, recognizing that salvation, adoption, and spiritual blessings are gifts of grace, not earned by works, and that true maturity comes through enduring trials with faith, allowing patience to have its perfect work. Ultimately, the sermon calls for humility, gratitude, and worship, reminding listeners that all glory belongs to God, who empowers believers through Christ to live faithfully and share the gospel with all peoples.Eph 3:1 For this reason I, Paul, the prisoner of Christ Jesus for you Gentiles-- 2 if indeed you have heard of the dispensation of the grace of God which was given to me for you, 3 how that by revelation He made known to me the mystery (as I have briefly written already, 4 by which, when you read, you may understand my knowledge in the mystery of Christ), 5 which in other ages was not made known to the sons of men, as it has now been revealed by the Spirit to His holy apostles and prophets: 6 that the Gentiles should be fellow heirs, of the same body, and partakers of His promise in Christ through the gospel, 7 of which I became a minister according to the gift of the grace of God given to me by the effective working of His power. A.   A MYSTERY ONCE HIDDEN, NOW REVEALED (1-7)1. Interrupting himself, Paul makes mention of His StatusHow Did it Effect Paul v1,2,7V1 Paul was a Prisoner of Christ 2Ti 1:11 to which I was appointed a preacher, an apostle, and a teacher of the Gentiles.12 For this reason I also suffer these things; nevertheless I am not ashamed, for I know whom I have believed and am persuaded that He is able to keep what I have committed to Him until that Day.Ac 9:10-16A.   V2 Paul was a Steward of the Mystery- He was entrusted with a great taskB.   V3-5 The Mystery is that Jews and Gentiles would be joined in the ChurchHow Did it Effect the GentilesA.   V6 A new relationship1)    Fellow Heirs of the Inheritance…sums up Eph 3:11-222)    of the same body 3)    and partakers of His promise in Christ through the gospel,Gen 12:3 I will bless those who bless you, And I will curse him who curses you; And in you all the families of the earth shall be blessed."Galatians 3:28-29 There is neither Jew nor Greek, there is neither slave nor free, there is neither male nor female; for you are all one in Christ Jesus. 29 And if you are Christ's, then you are Abraham's seed, and heirs according to the promise.A.   V7 New PowerPaul's role as a minister to the Gentiles of this "mystery" was a gift from God (7)         a. A gift of God's grace         b. A gift given to him by the effective working of God's power To Live the Christian Life – Overcome Sin, suffering and temptation to be able to walk in righteousness

SpaceTime Series 29 Episode 66 *Starship undertakes its 12th test flight The world's largest and most powerful rocket, the SpaceX super heavy Starship has undertaken its 12th test flight with mixed results. *Massive rocket explosion at Cape Canaveral Blue Origin's latest New Glenn rocket has exploded in a spectacular ball of flame and fire during a static hot fire test at the Cape Canaveral Space Force base in Florida. *How Earth recycles the continents A new study claims Earth's crust and mantle have been mixing together for billions of years continuously reworking the planet's continents deep beneath the surface. *The Science Report A new study shows that dentists have been drilling teeth to treat cavities for almost 60,000 years. Warnings that even moderate increases in temperatures heightens the likelihood of koala deaths. One in six kids now experiencing some form of online sexual exploitation and abuse. Alex on Tech: Rokid's new smart glasses.Become a supporter of this podcast: https://www.spreaker.com/podcast/spacetime-with-stuart-gary--2458531/support.

The Space Show Presents Open Lines Discussion Today, Sunday, 5-3-26Quick Summary:This meeting focused on open discussion topics in space exploration and national security. Bob shared speculation about a potential SpaceX acquisition of 200+ square miles of land in Louisiana for data centers and manufacturing facilities, though this remained unconfirmed. The group extensively discussed the Artemis 3 mission delay, with participants debating the challenges of SLS rocket assembly versus SpaceX's Starship development approach. Ajay raised significant concerns about Russia's nuclear-powered missile program, specifically the Burevestnik missile tested in October 2025, which he described as difficult to detect and potentially dangerous. The conversation also touched on nuclear power applications for data centers and military bases, with Dr. Ajay mentioning new small modular reactor companies emerging in the market. The discussion concluded with debate about defense strategies against such nuclear capabilities and the current state of hypersonic weapons development.Detailed Summary:Bob discussed a speculative story about SpaceX potentially acquiring a 200-square-mile piece of land in Louisiana, which could be used for data centers, satellite manufacturing, and Starship production. He noted that this would allow SpaceX to shift operations away from California. The conversation concluded with a mention of Artemis 3's delay and a brief reference to Robert's recent article about the potential Louisiana land acquisition.David announced that Robert would be scheduled for a show on May 26th at 6 PM, and discussed upcoming shows including Dr. Eligar Sadeh returning on Tuesday to discuss Astropolitics journal reviewing opportunities. The group briefly discussed unconfirmed news about Elon Musk's salary and potential Mars colonization plans, though Bob repeated that much of this information was speculative. David also mentioned upcoming shows including an ISDC episode with Rod Pyle and Aggi Kobrin on May 12th.Bob shared unconfirmed rumors that SpaceX may be acquiring approximately 136,000 acres of coastal Louisiana marshland near Pecan Island for potential data centers and manufacturing facilities. The discussion explored the strategic benefits of this location, including proximity to intercoastal waterways, power infrastructure, and natural gas facilities, though participants noted concerns about launch debris dispersion and local community impact. The group acknowledged this was speculative information pending official confirmation from SpaceX.The group discussed the delay of the Artemis III mission, with Bob explaining that both Blue Origin and SpaceX requested additional time to prepare their landers for an Earth-orbiting test mission. Robert noted that this delay would impact the scheduling of subsequent Artemis missions in 2028, as SLS rockets can only be assembled one at a time using a single mobile launcher. The discussion compared SLS and Starship assembly processes, with Joe highlighting how SLS involves numerous complex steps due to its design requirements, while Starship's assembly is more streamlined. Bob concluded that Jared Isaacman's goal is to demonstrate SLS's limitations over the next two years, potentially paving the way for Starship and New Glenn rockets to replace SLS in the future.The group discussed the competitive dynamics between SLS and Starship programs, with different perspectives on NASA's intentions. Phil and Joe had a different view, suggesting NASA believed SLS could beat Starship if it increased production rates faster. The discussion also covered technical aspects of Starship's design, with Ajay raising concerns about the high dry weight requiring multiple refueling trips to the moon, while Marshall and others highlighted the importance of SpaceX's new launch facilities in enabling frequent launches.The group discussed different approaches to refueling a lunar mission depot, with Ajay presenting a plan involving expendable tankers while Phil and Bob described a reusable tanker concept aligned with SpaceX's philosophy. Ajay cited NASA and Aerospace Corporation analyses suggesting 10-16 refueling launches would be needed with expendable tankers, though the group noted these estimates were based on V2 configurations rather than the more efficient V3. Bob defended SpaceX's approach, emphasizing the company's focus on reusability and rapid launch capabilities, while acknowledging that current payload limitations might require temporary use of expendable vehicles if development timelines don't meet requirements by mid-2027.The group discussed SpaceX's Starship program and its potential, with Ajay cautioning against extrapolating success from Falcon 9 to other projects. David interrupted the Starship-focused discussion to broaden the conversation, particularly wanting Ajay to share insights about a new Russian nuclear-powered missile system that can fly at low altitudes and evade detection. Ajay explained that this missile system, demonstrated on October 21, poses a significant threat as it cannot be detected by current defense systems and could potentially remain airborne for extended periods. When asked about countermeasures, Ajay indicated he had provided suggestions to defense departments but could not share details in the open forum.Ajay discussed his work on hypersonic and nuclear power applications, highlighting his experience since 1990 and recent developments in nuclear power plants. He mentioned new companies like ILO Atomics and Astra working on 10-megawatt power plants for data centers, which could be factory-built within a year. Ajay also shared his conversations with senators about the Burevestnik missile and his meeting with Jared at Mar-a-Lago, where he inquired about the Falcon Heavy idea. Marshall raised concerns about the time required for permits for nuclear power plants, to which Ajay responded that recent executive orders have reduced the timeline to 3-6 months.The discussion focused on nuclear power applications, particularly small modular reactors and micro-reactors. Ajay explained his work on a 25-megawatt thermal power plant design and discussed the military's micro-reactor program, noting that molten salt reactors would be more suitable than pressurized water reactors for energy applications. The conversation also addressed hypersonic missile technology, with Ajay clarifying that current U.S. hypersonic programs use rocket-boosted systems with limited range, distinguishable from the nuclear-powered hypersonic missiles discussed in the context of Russian weapons. John Hunt suggested that developing such nuclear-powered systems might not be a priority for the U.S. given existing deterrent capabilities and potential public opposition.The group discussed Russia's nuclear-powered missile development, specifically the Burevestnik missile tested on October 21, 2025, which flew for 15 hours at subsonic speeds and demonstrated capabilities to evade missile defenses. Ajay emphasized the danger of these nuclear-capable missiles, noting their ability to approach from any direction and their challenging detection due to flying at low altitudes. cautioned that Russia's technical competence with high-tech projects should be viewed with skepticism, though acknowledged the need to address these developments. The discussion concluded with Dr. Ajay expressing skepticism about fusion energy timelines and advocating for Generation 4 nuclear reactors, particularly molten salt reactors using thorium or uranium-233.The group discussed thorium reactors and fusion technology. Ajay explained that China copied thorium reactor technology from Oak Ridge National Lab in the 1960s, but development was halted due to lack of plutonium production, despite its potential for clean energy. The discussion covered fusion for space applications, with Ajay expressing skepticism about the feasibility of Pulsar Fusion's proposed system due to the high energy requirements and weight constraints for space travel. The conversation also touched on the challenges of space-based data centers, with participants questioning the practicality of using space for cooling purposes given existing technical limitations.The group discussed space-based data centers and energy transmission methods. Joe explained that Overview Energy, backed by Meta, is exploring using infrared lasers to transmit energy from space to ground-based solar farms. Bob highlighted that while space data centers may not be economically viable, they could drive significant launch demand and benefit the aerospace industry. The discussion also touched on the massive capital expenditure plans of major tech companies, with Joe noting that approximately $750 billion in capital expenses could potentially include space-based data center projects, creating new opportunities for rocket companies.The group discussed the challenges of cooling data centers in space, with Ajay explaining that radiating heat into space requires large radiators due to the lack of convection and conduction in vacuum. Joe noted that operating chips at higher temperatures could reduce the size of radiators, but this would negatively impact performance. The discussion also covered nuclear propulsion options for space travel, with Ajay expressing skepticism about the feasibility of implementing nuclear electric propulsion for the planned Mars mission within the proposed timeline. The group agreed that nuclear thermal propulsion, while more efficient, would require significant development time and testing. (Summary provided by Zoom AI).Special thanks to our sponsors:American Institute of Aeronautics and Astronautics, Helix Space in Luxembourg, Celestis Memorial Spaceflights, Astrox Corporation, Dr. Haym Benaroya of Rutgers University, The Space Settlement Progress Blog by John Jossy, The Atlantis Project, and Artless EntertainmentWe use Zoom phone numbers for program participation.For real time program participation, email Dr. Space at: drspace@thespaceshow.com for instructions and access.The Space Show is a non-profit 501C3 through its parent, One Giant Leap Foundation, Inc. To donate via Pay Pal, use:To donate with Zelle, use the email address: david@onegiantleapfoundation.org.If you prefer donating with a check, please make the check payable to One Giant Leap Foundation and mail to:One Giant Leap Foundation, 11035 Lavender Hill Drive Ste. 160-306 Las Vegas, NV 89135Upcoming Programs:No Program for Friday, May 29, 2026 | Friday 29 May 2026 930AM PTGuests: Dr. David LivingstonNo program today, Friday, May 26, 2026Broadcast 4596: Zoom: Open Lines Discussion | Sunday 31 May 2026 1200PM PTGuests: Dr. David LivingstonZoom: Open Lines Discussion. Email DrSpace prior to air time for Zoom phone number access. Get full access to The Space Show-One Giant Leap Foundation at doctorspace.substack.com/subscribe

Episode: S05E112 — Tuesday, 26 May 2026 Hosts: Anna & Avery Network: Bitesz.com Podcast Network Website: astronomydaily.io  |  Social: @AstroDailyPod   Story Summaries 1. NASA Unveils Ambitious Moon Base Plan As this episode was recorded, NASA Administrator Jared Isaacman was preparing to announce a landmark plan for a permanent human outpost at the lunar south pole by 2036. The programme carries a price tag of approximately $30 billion across a seven-year foundational phase, relies on nuclear power systems, leverages lunar water ice for fuel and life support, and effectively retires the Gateway orbital station concept. Commercial partners will supply rovers and habitat modules. Phase one targets around two dozen lunar launches, including Artemis IV, by 2028. Full details will be covered in tomorrow's episode. 2. Starship V3 Flight 12 — Engine Drama, Historic Debut SpaceX launched the first Starship V3 rocket on Friday, 22 May 2026, from brand-new Pad 2 at Starbase, Texas. Ship 39 reached space and completed a controlled splashdown in the Indian Ocean despite losing one of its six vacuum Raptor engines during ascent. The flight computer compensated by extending burns on the remaining five. The Super Heavy booster was lost in the Gulf of Mexico after a failed boostback burn. The FAA has opened a review. SpaceX declared most pre-planned test objectives met. 3. JWST Maps First Daily Weather Cycle on a Distant World Published in Science on 21 May 2026. Researchers from Johns Hopkins and Arizona State Universities used Webb's NIRISS instrument to observe WASP-94Ab — a hot Jupiter 690 light-years away — and detected the first daily cloud cycle ever recorded on another planet. Thick magnesium silicate clouds form each morning, then completely clear by evening. The finding also corrected a decade of skewed atmospheric composition data. 4. NASA's Fermi Telescope Solves 20-Year Supernova Mystery An international team led by Fabio Acero used NASA's Fermi Gamma-ray Space Telescope to confirm the first definitive gamma-ray detection from a superluminous supernova — SN 2017egm. The data confirms a newly formed magnetar as the power source behind these extraordinarily bright explosions. Published in Astronomy & Astrophysics, 2026. 5. Most Rocky Exoplanets May Lack Earth-Like Metallic Cores A new paper submitted to the Astrophysical Journal challenges the long-held assumption that dense metallic cores are standard features of rocky planets. Researchers argue that most rocky exoplanets may have formed without Earth-style metallic cores — meaning no global magnetic field, with significant implications for atmospheric retention and habitability. 6. The Soviet Rover That Went Silent — and Came Back Lunokhod 1 was the world's first remote-controlled rover on another world (1970). After traversing 10.5 km of Mare Imbrium, contact was lost in 1971. For nearly 40 years its exact position was unknown — until NASA's Lunar Reconnaissance Orbiter identified it in 2010. The APOLLO project then fired laser pulses and received ~2,000 photons back from its French-built retroreflector — four times stronger than expected. It remains an active contributor to lunar science today.   Sources & Further Reading •       NASA Moon Base announcement: nasa.gov/2026-news-releases •       Starship Flight 12 updates: space.com •       WASP-94Ab paper: Science, 21 May 2026 — DOI via Johns Hopkins Hub •       Fermi supernova paper: Astronomy & Astrophysics, 2026 — DOI: 10.1051/0004-6361/202558547 •       Exoplanet cores paper: submitted to Astrophysical Journal, May 2026Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

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Sponsor Link:You've heard us talking about them now it's time to check out the special money saving deal from our sponsor NordVPN. CLICK HEREYour weekly roundup of the biggest stories from across the cosmos — two fresh stories plus the best of the past seven days from Astronomy Daily.   In This Episode •          Starship V3 Flight 12: SpaceX launches its redesigned megarocket for the first time — an historic milestone with some drama along the way •          New Glenn Cleared to Fly: Blue Origin completes its NG-3 failure investigation — the FAA approves the report and the rocket is back in action •          First Direct Image of the Cosmic Web: A 3-million-light-year filament photographed in unprecedented detail by ESO's Very Large Telescope •          Dark Matter Fingerprint? MIT researchers find a gravitational wave signal that may carry the first direct imprint of dark matter •          Roman Space Telescope: NASA's next great observatory is targeting September 2026 launch — eight months ahead of schedule •          AI Space Chip: NASA tests a radiation-hardened chip that could give future spacecraft genuine autonomous decision-making   Story Sources & Further Reading Starship V3 / Flight 12: Space.com, Universe Today, Spaceflight Now, Next Spaceflight New Glenn / Blue Origin: SpaceNews (May 22, 2026), Space.com, TechCrunch Cosmic Web Image: Nature Astronomy — Tornotti et al.; ESO/VLT press release; Mirage News (May 16, 2026) Dark Matter / Gravitational Waves: Physical Review Letters — Aurrekoetxea et al.; ScienceDaily, Universe Today (May 19, 2026) Roman Space Telescope: NASA.gov, Scientific American, ScienceDaily (May 18, 2026) NASA AI Space Chip: ScienceDaily, NASA (May 15, 2026)   About Astronomy Daily Astronomy Daily delivers the latest space and astronomy news every weekday, plus a Weekend Wrap on Saturdays. Hosted by Anna and Avery, and produced by the Bitesz.com Podcast Network. Website: astronomydaily.io  |  Social: @AstroDailyPodBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To check out our special money saving deal and upgrade your online security with NordVPN - Click HereSpaceX came agonisingly close to launching the most powerful rocket ever built in its newest configuration — but a technical halt at T-minus 40 seconds sent Starship V3's debut back to the drawing board, with another attempt window opening this evening (6:30–8:00 p.m. EDT). Anna and Avery dig into what went wrong, what makes V3 different, and the stunning announcement buried in the webcast: a named commander for humanity's first crewed Mars flyby mission. Plus: JWST rewrites exoplanet atmospheric science with unexpected ice clouds on a distant super-Jupiter, researchers map a mysterious magnetic 'flip' inside the Milky Way, and Rocket Lab launches from New Zealand.Links & Further Reading •       Starship Flight 12 live updates: space.com •       SpaceX launch webcast (tonight): spacex.com •       Chun Wang Mars announcement: universetoday.com •       JWST Epsilon Indi Ab paper (ApJL): doi.org/10.3847/2041-8213/ae5823 •       Milky Way magnetic field study (ApJ): doi.org/10.3847/1538-4357/ae28d1 •       Rocket Lab Viva La Strix mission: rocketlabusa.com •       Astronomy Daily website: astronomydaily.ioBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

LIVE: SpaceX Starship Launch & UFO NewsStarship Flight 12 (IFT-12) is the maiden flight of Starship Version 3 (Block 3), using Booster 19 (B19) and Ship 39 (S39). It marks the first launch from Starbase's new Orbital Launch Pad 2 (Pad B) and debuts major redesigns for full rapid reusability.The flight is a suborbital test (transatmospheric trajectory), with the booster splashing down in the Gulf of Mexico and the ship in the Indian Ocean. Launch targeted for May 21, 2026, around 5:30–7:00 PM CDT (window shifted to ~6:00 PM CT).Key Highlights and Special FeaturesFirst V3 Vehicles: Significant upgrades to Starship, Super Heavy, and Raptor 3 engines (clean-sheet propulsion changes, increased tank volume, new startup methods, larger grid fins on booster). These incorporate lessons from prior flights for higher performance, reliability, and eventual 100+ ton payloads to orbit.New Launch Pad (Pad 2): First use of the redesigned pad with upgraded propellant farms (more capacity and faster pumps) and improved tower chopsticks (electromechanical actuators for speed/reliability).Heavy Payload Demo: Deploys 22 Starlink simulators (~44 tonnes total mass, a record for Starship tests). Includes 20 standard simulators + 2 specially modified ones to scan Starship's heat shield during flight and transmit imagery (testing future tile inspection for return-to-launch-site missions). Some tiles were painted white to simulate damage.In-Space and Reentry Tests:Single Raptor engine relight in space.Controlled reentry with banking maneuver (simulating future Starbase return trajectory).Intentional stress test on rear flaps.One heat shield tile was intentionally removed to measure the effects on adjacent tiles.Booster Objectives: Full launch, ascent, hot-staging separation, boostback burn, and landing burn — but no tower catch attempt (conservative water landing as it's the first V3 flight).Raptor 3 Power: 33 engines on the booster delivering massive thrust (over 9,000 metric tons), with improved reliability shown in static fires.This flight focuses on proving the redesigned architecture in real conditions rather than attempting catches or full orbits yet. It's a big iterative step toward operational reusability, orbital refueling, and missions like Artemis or Mars.AttributionSpielberg on The Late Show via UAP James@UAPJames on Xhttps://x.com/UAPJames/status/2057061621818683797?s=20Avi Loeb on Neil DeGrasse Tyson via Red Panda Koala @RedPandaKoala on Xhttps://x.com/RedPandaKoala/status/2056986929795871046?s=20Starship Flight 12 Launch via SpaceX Broadcasthttps://www.spacex.com/launches/starship-flight-12Become a supporter of this podcast: https://www.spreaker.com/podcast/the-tempest-universe--4712510/support.Please follow the #podcast on YouTube: https://www.youtube.com/@TheTempestUniversePodcast?sub_confirmation=1

LIVE: SpaceX Starship Launch & UFO News Starship Flight 12 (IFT-12) is the maiden flight of Starship Version 3 (Block 3), using Booster 19 (B19) and Ship 39 (S39). It marks the first launch from Starbase's new Orbital Launch Pad 2 (Pad B) and debuts major redesigns for full rapid reusability. The flight is a suborbital test (transatmospheric trajectory), with the booster splashing down in the Gulf of Mexico and the ship in the Indian Ocean. Launch targeted for May 21, 2026, around 5:30–7:00 PM CDT (window shifted to ~6:00 PM CT).Key Highlights and Special Features First V3 Vehicles: Significant upgrades to Starship, Super Heavy, and Raptor 3 engines (clean-sheet propulsion changes, increased tank volume, new startup methods, larger grid fins on booster). These incorporate lessons from prior flights for higher performance, reliability, and eventual 100+ ton payloads to orbit. New Launch Pad (Pad 2): First use of the redesigned pad with upgraded propellant farms (more capacity and faster pumps) and improved tower chopsticks (electromechanical actuators for speed/reliability). Heavy Payload Demo: Deploys 22 Starlink simulators (~44 tonnes total mass, a record for Starship tests). Includes 20 standard simulators + 2 specially modified ones to scan Starship's heat shield during flight and transmit imagery (testing future tile inspection for return-to-launch-site missions). Some tiles were painted white to simulate damage.In-Space and Reentry Tests: Single Raptor engine relight in space.Controlled reentry with banking maneuver (simulating future Starbase return trajectory).Intentional stress test on rear flaps. One heat shield tile was intentionally removed to measure the effects on adjacent tiles. Booster Objectives: Full launch, ascent, hot-staging separation, boostback burn, and landing burn — but no tower catch attempt (conservative water landing as it's the first V3 flight).Raptor 3 Power: 33 engines on the booster delivering massive thrust (over 9,000 metric tons), with improved reliability shown in static fires. This flight focuses on proving the redesigned architecture in real conditions rather than attempting catches or full orbits yet. It's a big iterative step toward operational reusability, orbital refueling, and missions like Artemis or Mars. Attribution Spielberg on The Late Show via UAP James@UAPJames on X https://x.com/UAPJames/status/2057061621818683797?s=20 Avi Loeb on Neil DeGrasse Tyson via Red Panda Koala @RedPandaKoala on X https://x.com/RedPandaKoala/status/2056986929795871046?s=20 Starship Flight 12 Launch via SpaceX Broadcast https://www.spacex.com/launches/starship-flight-12 Become a supporter of this podcast: https://www.spreaker.com/podcast/the-tempest-universe--4712510/support. Please follow the #podcast on YouTube: https://www.youtube.com/@TheTempestUniversePodcast?sub_confirmation=1

Sponsor Link:To secure your online life and save money into the bargain, check out our NordVPN offer - Click HereStarship V3 is on the pad and tonight's the night — Flight 12 launches the most powerful rocket ever built. Plus: Webb solves a decades-old Neptune mystery, why space debris is quietly corrupting climate science, new doubts cast on DESI's dark energy results, a smarter route to the Moon, and why the galaxy may be full of hellish Venus-twins rather than Earths. All that on Astronomy Daily for Thursday, May 21, 2026.Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To check out our great NordVPN money saving deal - Click HereAstronomy Daily • S05E107 • Wednesday 21 May 2026 Starship V3 is on the pad and counting down for Thursday's debut launch — we bring you the full update including technical objectives, the Artemis stakes, and a sober note about a worker fatality at Starbase. Plus: a NIST proposal to build GPS for the Moon using lasers inside permanently frozen polar craters; space station startup Vast enters the satellite market; JWST finally has an explanation for the universe's impossibly large early black holes; the Roman Space Telescope locks in a September 2026 launch; and interstellar comet 3I/ATLAS gives up two remarkable new secrets — alien water thirty times richer in heavy hydrogen than anything in our solar system, and pre-discovery images that show it was spotted before anyone knew it was there.   Stories This Episode •       STORY 1 — Starship V3 Flight 12: Launch window opens Thursday 21 May at 6:30 PM EDT (8:30 AM AEST Friday 22 May). Splashdown of upper stage in Indian Ocean off Western Australia ~65 min after liftoff. First flight of Starship V3, first use of Starbase Pad 2. Key objectives: Raptor 3 engines, heat shield imaging by modified Starlink sats, 22 dummy Starlink deployments, Raptor relight in space. Worker fatality at Starbase 15 May under OSHA investigation. •       STORY 2 — Lunar GPS via NIST: Proposal to place ultrastable silicon optical cavity lasers in permanently shadowed craters near lunar south pole (~16K, near-perfect vacuum). Could enable lunar GPS network, atomic timekeeping on Moon, precise satellite ranging, gravitational wave detection. •       STORY 3 — Vast Corporation: Space station builder announces new line of high-power satellites, expanding beyond Haven-1 into commercial satellite manufacturing. Announced 19 May 2026. •       STORY 4 — JWST Black Holes: New arXiv paper proposes 'episodic super-Eddington accretion' in gas-rich dark matter-dominated early galaxies explains overmassive black holes found by JWST. Identifies them as 'missing link' between heavy seeds and luminous quasars. •       STORY 5 — Roman Space Telescope: Launch now confirmed as early as September 2026 — 8 months ahead of schedule, under budget. 100x Hubble's field of view, 1,000x survey speed. Targets dark energy, dark matter, exoplanets. Coronagraph for direct exoplanet imaging. •       STORY 6 — 3I/ATLAS: Pre-discovery images found in Rubin Observatory data from 21 June–2 July 2025, over a week before official ATLAS discovery. Water deuterium ratio at least 30x higher than any solar system comet (ALMA/U of Michigan/Nature Astronomy). Comet estimated ~12 billion years old.   Key Links •       SpaceX Starship Flight 12 livestream: spacex.com •       Flight 12 timeline (Space.com): space.com/space-exploration/launches-spacecraft/what-time-is-spacex-starship-v3-launch-starship-flight-12-timeline •       Starbase worker death (Space.com): space.com/space-exploration/launches-spacecraft/worker-dies-at-spacexs-starbase-in-leadup-to-starship-v3-megarocket-launch •       Lunar laser GPS (NIST): nist.gov/news-events/news/2026/05/shooting-moon-ultrastable-lasers-dark-craters-could-enable-lunar-navigation •       Vast satellite announcement: space.com (19 May 2026) •       Roman Space Telescope launch update: nasa.gov •       3I/ATLAS pre-discovery images: space.com/astronomy/comets •       3I/ATLAS water chemistry (ALMA): almaobservatory.orgBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To get our special money saving deal from NordVPN - Click Here A launch day episode packed with big science and bigger rockets. Today we cover the real-time launch of the ESA/China SMILE space weather satellite, SpaceX's Starship V3 sitting on its brand-new pad (and why it's now heading for Thursday), a UCL study warning that megaconstellation launches may be accidentally conducting an 'unregulated geoengineering experiment' in our upper atmosphere, the world's first space-based neutrino detector operating in orbit, extraordinary evidence in Antarctic ice that Earth is collecting material from a dead star, and a clever new cosmic mapper called TIME that studies the ancient universe using a single spectral line.Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Sponsor Link:To grab our special money saving NordVPN deal - Click HereIn today's episode, Anna and Avery cover a blue whale-sized asteroid making a close pass of Earth today, the imminent debut of SpaceX's most powerful rocket yet, NASA's Psyche spacecraft successfully completing its Mars gravity assist, fresh science arriving at the ISS, a new physics paper challenging the simulation hypothesis at its foundations, and Congress pushing back hard against proposed cuts to NASA's science budget.   Story 1 — Asteroid 2026 JH2 Newly discovered asteroid 2026 JH2 (first spotted 10 May 2026) makes a close Earth flyby today at ~90,000 km — within the orbital radius of many satellites. Estimated size: up to ~35 metres (blue whale-sized). Zero impact risk confirmed. Observable with binoculars at peak magnitude ~11.5. Live stream available via the Virtual Telescope Project. Orbital period: 3.7 years between Earth and Jupiter.   Story 2 — Starship V3 / Flight 12 SpaceX targets May 19, 2026 for the debut of Starship Version 3 (Flight 12) from Pad 2 at Starbase, Texas. Launch window opens 6:30 PM EDT. Key upgrades: Raptor 3 engines (250 tf SL thrust, up from 230 tf), three larger grid fins, new integrated hot-stage design, updated propellant systems. No tower catch on this flight; booster splashes in Gulf of Mexico. Upper stage (Ship 39) targets Indian Ocean after 65 minutes. Payload: 22 Starlink simulator satellites. Critical step toward Artemis lunar landings.   Story 3 — NASA Psyche Mars Flyby On 15 May 2026 at 3:28 PM EDT, Psyche completed its Mars gravity assist at 4,500 km altitude travelling at 12,333 mph. Passed inside the orbits of both Martian moons. Confirmed by Doppler shift monitoring. Mission: en route to metal-rich asteroid 16 Psyche (arrival July 2029). Thousands of Mars observations gathered for science calibration.   Story 4 — SpaceX CRS-34 SpaceX's 34th Dragon cargo mission docked at ISS at 6:37 AM EDT on 17 May 2026, delivering ~6,500 lb of cargo for Expedition 74. Science payloads include: microgravity simulator validation study, wood-based bone scaffold (osteoporosis research), red blood cell/spleen spaceflight study. Dragon will return to Earth mid-June splashing down off California coast.   Story 5 — Simulation Hypothesis Paper Paper: ‘Non-algorithmic physics and the limits of the simulation hypothesis', published in the Journal of Holography Applications in Physics. Authors: Mir Faizal (UBC Okanagan), Lawrence Krauss, Arshid Shabir, Francesco Marino. Core argument: using Gödel's incompleteness theorems, the team argues any theory of quantum gravity would be non-algorithmic — containing truths no computation can capture. Since any simulation requires algorithms, reality cannot be fully simulated. Note: this is a theoretical paper, not an experimental result. The authors acknowledge no complete quantum gravity theory currently exists.   Story 6 — NASA FY2027 Budget House Appropriations Committee approved $24.438 billion for NASA in FY2027 — matching FY2026 and rejecting the White House's proposed $18.8 billion (a 23% cut). The proposal would have cut the Science Mission Directorate by 46%, terminating 50+ missions. Committee protects science, Habitable Worlds Observatory, and STEM education funding. Bill still needs Senate passage and reconciliation.   Skywatching TONIGHT — Moon-Venus conjunction: look west after sunset for the crescent Moon close to brilliant Venus. Earthshine visible on dark lunar limb. Southern Hemisphere: look west-northwest, best in first hour after sunset. Blue Moon on 31 May (second full Moon of the month).  Become a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

I spoke to Scoopy Trooples, the pseudonymous co-founder of Alchemix, about self-repaying loans, the wreckage of DeFi scams, and what ethical crypto finance could actually look like.We dig into how Alchemix works, allowing your debt pays itself off over time and what's new in V3. We also get into the broader rot in the space: meme coin pump-and-dumps, celebrity rug pulls, prediction market gambling, and how DeFi summer's promise curdled into financial nihilism. Scoopy is one of the rare crypto founders willing to say the quiet part loud,  that most of what gets built in this space is zero-sum at best and predatory at worst, and has been trying to build something different since day one.This episode is sponsored by NYM, the world's most private VPN. Unlike traditional VPNs, Nym uses a decentralized mixnet to scramble your internet data — hiding who you're talking to, when, and how often. You can switch between full mixnet mode for maximum anonymity, or a faster VPN mode for everyday use.Use the code blockchainsocialist when signing up and get an extra month!If you liked the podcast be sure to give it a review on your preferred podcast platform. If you find content like this important consider donating to my Patreon starting at just $3 per month. It takes quite a lot of my time and resources so any amount helps. Follow me on Twitter (@TBSocialist) or Mastodon (@theblockchainsocialist@social.coop) and join the r/CryptoLeftists subreddit. Support the showICYMI I've written a book about, no surprise, blockchains through a left political framework! The title is Blockchain Radicals: How Capitalism Ruined Crypto and How to Fix It and is being published through Repeater Books, the publishing house started by Mark Fisher who's work influenced me a lot in my thinking. The book is officially published and you use this linktree to find where you can purchase the book based on your region / country.

This episode reviews the eight cranial bones for board exam prep, focusing on their role in protecting the brain, the function of sutures as immovable joints for growth and strength, and the cushioning effect of cerebrospinal fluid. It highlights key bones and functions, including the frontal (decision-making), parietal (sensory processing), temporal (hearing, balance, memory), and occipital (vision, foramen magnum). The sphenoid is emphasized as a central hub with important trigeminal nerve pathways (V1, V2, V3), while the ethmoid is noted for its role in the nasal cavity and olfaction.  #1 dental hygiene boards review: 

Hey everyone, Alex here

Scoopy Trooples is the Founder of Alchemix.Many DeFi protocols from 2021 are gone. But Alchemix never quit.In this episode, Scoopy walks through the full Alchemix V3 redesign: how the new Mix-Yield Token (MYT) creates vaulted yields users can borrow against at 90% LTV, with zero interest, looping up to 10x, and how fixed-term redemptions unlock an entirely new yield primitive. Alchemix was the first protocol to use yield-bearing collateral for loans. V3 looks to be the long overdue evolution of the self-repaying loan, and we think this version can scale to be even bigger than V1.------

Quanto vai custar GTA 6? CEO fala sobre preço e promete valor justo, justo pra quem? Brasil é campeão e recebe mais de 1 bilhão de ligações abusivas por mês. RTX 5070 ganha versão de 12 GB: é o fim do sofrimento nos notebooks? Aleluia! YouTube libera Picture-in-Picture de graça para todos os usuários. Sony finalmente explica DRM de 30 dias do PlayStation: 'verificação temporária'. Visa testa IA agêntica que paga suas contas 'sozinha'. Google investe bilhões na Anthropic, Cade e União Europeia pressionam Google, OpenAI pede desculpas, China barra venda de startup de IA, Intel cresce com IA. E ainda as novidades com nossos apresentadores direto da Gamescom 2026.

The Bank of England expects stock markets around the world to fall as share prices are not reflecting the many risks facing the world economy, so says the Bank of England Deputy Governor and head of financial stability Sarah Breeden. It is unusual for a senior figure at the Bank to be so forthright on market movements. Breeden, who is also the Bank's head of financial stability, declined to say when she expected markets to fall or by how much, but pointed to a number of factors that markets seemed complacent about. The Chinese artificial intelligence company, DeepSeek, has released a preview version of its long-awaited new model, allowing users to test its capabilities and features. DeepSeek introduced its first open source model last year, causing turmoil in western tech markets because of its matching capabilities with American rivals and low cost. The firm says its V3 model achieves strong performance against others. And one of the world's biggest car shows has been showcasing the very latest electric car technology. The timing of the Beijing show is pivotal - as the Iran war pushes up fuel prices, global demand for EVs is accelerating.Presenter: Leanna Byrne Senior producer: Craig Henderson

Is your corn crop ready for the V3 milestone? In this episode, we sit down with Scott Dickey, Regional Agronomy Manager at Beck's Hybrids, to break down the critical management decisions facing corn growers right now. If your budget includes a top-dress application, you can't afford to miss this discussion on timing and nutrient balance. In this episode, we cover: The V3 Sweet Spot: Why Beck's PFR (Practical Farm Research) proves that V3 is the ultimate timing for side-dress Nitrogen applications. The Sulfur Ratio: Why 25–30 lbs of Sulfur is the "magic number" for your crop's health and nitrogen efficiency. Post-Freeze Checkup: Assessing the "cosmetic bruising" from the recent cold spell—should you be worried? (Hint: Scott has some reassuring news). Budgeting for Yield: Making your inputs work harder for you this season. Guest: Scott Dickey, Regional Agronomy Manager at Beck's Hybrids YouTube Video Timestamps 0:00 – Introduction: Agronomy Moment with Wendell Koehn 0:52 – Corn Management & Early Season Field Reports 1:25 – Assessing Cold Weather Bruising: Is it Cosmetic? 1:55 – The V3 Milestone: PFR Proven Side-Dress Timing 3:20 – Nitrogen Efficiency: Units per Bushel Targets 4:40 – Managing Risk: Late-Season Top Dressing Options 6:22 – Sulfur Strategy: Pre-Plant vs. Top Dress Rates 6:55 – Final Advice: Pre-Planning and Product Availability 8:50 – "Tailgate Talk" Bloopers & Outtakes Topic: Corn Management & PFR Proven Side-Dress Strategies #CornFarming #Agronomy #BecksHybrids #NitrogenManagement #V3Corn #FarmTips #cropyieldpotential TOP Ag Services is a Beck's Hybrids seed dealer as well as a franchise partner for Sweetwater Technologies. We provide Hybrid Corn Seed, Soybean Seed, and Wheat Seed. Beck's has access to the best genetics and trait technologies from suppliers worldwide. Through Sweetwater Technologies we have access to industry standard name brand herbicides, insecticides, fungicides, and many others! We have access to biological stress mitigators, biological fertility foliar, and many other products in the category of crop protection and stress prevention. Through our business associates Dirks Bros, we offer fertilizer, soil sampling, and a whole suite of crop nutrition solutions. We are the first to market with the best products & provide the latest, most accurate agronomic information through proven research. If you need agronomic assistance or want to be added to these updates, feel free to reach out via the messaging feature or contact us at topagservices.com/contact or call us at 417-684-5301 to be connected with someone who can help you. All information here is for informational purposes only. It is not a recommendation for your farm. You should not act or refrain from acting on the basis of any content included in this presentation without seeking other professional advice. The contents of this presentation contain general information and may not reflect current agronomic or developments or address your situation. We (Wendell Koehn and all of his affiliates, guests, or assistants) disclaim all liability for actions you take or fail to take based on any content in this presentation.

John Johnston (JJ) responds to an Atlantic article about the upcoming SpaceX IPO, that asserts that Elon Musk is banking on his “Elongelical fanboys” to make the SpaceX the most expensive big stock in the stock market. We also look at an article from Will Lockett, who details just how big of a leap Starship's V3 needs to be to achieve what has been planned. Related episodes:Biggest Money Grab Ever? Elon's SpaceX Files To Go Public  https://open.spotify.com/episode/7JTvVEeUruYNAYYizWC4qQSpaceX IPO Valuation Hype: Elon's Ultimate Reality Distortion? https://open.spotify.com/episode/68NedN7wmQLZtPkDmukIEbWhy ‘Elon-gelical' Tesla Influencers Leaving The Cult  https://open.spotify.com/episode/6UysuwWHDaqR5mvW4oxnQYReferenced articles:You Don't Understand Just How Big Of A Leap Starship V3 Needs To Be | Will Lockett https://www.planetearthandbeyond.co/p/you-dont-understand-just-how-bigElon Musk Is Banking on Fanboys https://www.theatlantic.com/ideas/2026/04/spacex-ipo-elon-musk/686793/Disclaimer: I am not a financial adviser and nothing in this content is financial advice. This content is for general education and entertainment purposes only. Do your own analysis and seek professional financial advice before making any investment decision.

John Johnston (JJ) responds to an Atlantic article about the upcoming SpaceX IPO, that asserts that Elon Musk is banking on his “Elongelical fanboys” to make the SpaceX the most expensive big stock in the stock market. We also look at an article from Will Lockett, who details just how big of a leap Starship's V3 needs to be to achieve what has been planned. Related episodes:Biggest Money Grab Ever? Elon's SpaceX Files To Go Public  https://open.spotify.com/episode/7JTvVEeUruYNAYYizWC4qQSpaceX IPO Valuation Hype: Elon's Ultimate Reality Distortion? https://open.spotify.com/episode/68NedN7wmQLZtPkDmukIEbWhy ‘Elon-gelical' Tesla Influencers Leaving The Cult  https://open.spotify.com/episode/6UysuwWHDaqR5mvW4oxnQYReferenced articles:You Don't Understand Just How Big Of A Leap Starship V3 Needs To Be | Will Lockett https://www.planetearthandbeyond.co/p/you-dont-understand-just-how-bigElon Musk Is Banking on Fanboys https://www.theatlantic.com/ideas/2026/04/spacex-ipo-elon-musk/686793/Disclaimer: I am not a financial adviser and nothing in this content is financial advice. This content is for general education and entertainment purposes only. Do your own analysis and seek professional financial advice before making any investment decision.

SpaceX just hit the brakes. Flight 12, the first launch of the Starship V3, is officially pushed to May. While Elon claims it is a 4 to 6 week tweak, there is more going on with the V3 hardware than just a schedule shift. We are breaking down the specific bottlenecks holding up the most powerful rocket ever built.The Raptor 3 Risk: The new shroudless engines are supposed to be more efficient, but rumors of cooling issues during static fires are heating up.The Stretch Problem: V3 is significantly taller than its predecessors. We look at whether the structural welds can actually handle the increased propellant mass.Heat Shield 3.0: After the near-misses of Flight 11, did SpaceX finally solve the tile-loss issue, or is that what is causing the May delay?The $2 Trillion Pressure: With the SpaceX IPO rumors swirling, a failure on the maiden V3 flight is not an option. Is this a technical delay or a strategic one?The transition from V2 to V3 is the biggest hardware jump in Starship history. If they do not get this right in May, the entire moon manifest slides. Listen to find out what is actually happening at Starbase.

Ça faisait longtemps que vous n'aviez pas entendu parler de moi côté podcast. On est en avril, et j'ai passé les trois premiers mois de l'année à terminer les corrections de Comète. Mais avant d'aller plus loin, j'ai trois nouvelles à vous annoncer, parce que je sais que certain·e·s d'entre vous ne vont pas tout lire jusqu'au bout, et je suis quand même sympa.Sonate et Plumes sont sous contrat d'édition !Oui. Les deux.Sonate a disparu de Wattpad il y a quelques semaines. C'était annoncé : je ne pouvais le partager que parce qu'il n'était pas encore sous contrat. Et maintenant il l'est. Plumes aussi. Ce qui veut dire que j'ai écrit et signé trois romans en un an.Je pose ça là, pour la Mahuna du futur qui doutera et qui se dira que les choses sont compliquées.Pour celles et ceux qui arrivent : Comète est le tome central. Sonate est le préquel, ce qui se passe avant. Plumes est la suite. On peut les lire dans n'importe quel ordre, mais ils sortiront ainsi : Comète en novembre 2026, Sonate en 2027, Plumes en 2028. Je ne vous dis pas encore chez qui ils sont signés, sinon ce ne serait pas drôle. Mais si ça vous intéresse que je partage les trois moodboards ensemble, dites-le moi.Je serai au Festival du Livre de Paris !Troisième nouvelle : je serai au Salon du Livre de Paris, pas en tant que lectrice, pas encore en tant qu'autrice de Comète puisqu'il n'est pas sorti, mais en tant qu'autrice tout de même, avec mes deux recueils de poésie.Et surtout, je ferai partie d'une table ronde autour de la question « Quelles places pour les autrices noires ? » Je co-animerai cette table ronde avec Jamila, la co-autrice de Wash Day (dont j'ai fait une chronique sur Instagram, je vous la partage). Et j'ai embarqué avec moi Déli d'Overbookées pour modérer, parce que je ne voyais personne de plus qualifiée compte tenu du sujet et de l'expérience de Déli, et parce que je savais que je serais en confiance.Je trouve que se poser cette question-là, à travers mon expérience côté français et celle de Jamila côté américain, c'est déjà quelque chose. Peut-être le début de quelque chose.Rendez-vous le samedi 18 avril à 18h au Grand Palais. Toutes les infos sont sur mon Instagram et sur le site du Festival du Livre de Paris. Et si vous venez, j'aurai quelques exemplaires de mes recueils avec moi.Comment Comète est arrivé à une V6On m'a posé la question, donc je réponds : non, ça n'a pas dénaturé mon travail. Voilà comment on arrive à six versions.J'ai commencé à écrire Comète en février-mars 2024, avec des alpha-lecteurices qui lisaient les chapitres au fur et à mesure. Ensuite j'ai laissé reposer, je suis revenue dessus : V2. Après les retours des bêta-lecteurices : V3. Puis j'ai rencontré mon agence littéraire, qui m'a donné des retours pour optimiser le manuscrit avant les envois : V4.Ensuite j'ai rencontré Capucine, mon éditrice. Elle m'a demandé de choisir : Young Adult pour aller chez Solleyre, ou adulte pour aller chez Eyrolles roman. J'ai choisi le Young Adult, j'ai fait une V5, et je lui ai envoyée. Elle a travaillé sur les 50 premières pages, et ces 50 pages ont révélé qu'on devait d'abord se mettre d'accord sur la vision du roman, sur ce que je voulais dire, avant d'aller plus loin. Ça n'avait aucun sens de corriger la suite sans avoir réglé ça.Donc V6.Ce que cette V6 m'a demandéC'est la partie compliquée à expliquer sans vous révéler l'intrigue, alors je vais faire de mon mieux.Réécrire cette V6, ça m'a demandé de jouer en partie ma propre sensitivity reader. De me questionner sur mes biais, de faire un pas de côté, en sachant que je ne les ai probablement pas tous les identifiés. Ça m'a demandé de travailler sur les imaginaires qu'on attribue aux personnages racisés, sur leurs émotions, leur profession, leur position dans l'histoire, pour que mon intention soit lisible sans que j'aie besoin d'être là pour l'expliquer.Parce que c'est ça, la différence avec un essai : dans un roman, pas de notes de bas de page. Le lecteur ou la lectrice reçoit le texte seul·e, dans son propre contexte, et ce contexte influence tout. J'essaie quand même de négocier une note d'attention au début ou à la fin du roman, mais dans les faits, il faut que les choix parlent d'eux-mêmes.C'était angoissant. Ça ressemblait à refaire un premier jet, avec tout ce que ça implique quand les choses ne sont pas encore claires. J'ai procrastiné, j'y allais à reculons. Et en même temps, ça m'a appris quelque chose sur la manière de transmettre aussi clairement que possible mes intentions, en tenant compte du fait que je ne serai pas là quand quelqu'un ouvrira ce roman.Ce que ça a fait à ma santé mentaleJe pensais à ce roman la nuit. Pas que Comète crée les insomnies, j'ai tendance à en faire de toute façon, mais il s'y invitait. La peur de graver quelque chose d'immuable, de me dire dans quelques années « mais pourquoi t'as écrit ça comme ça ? », ça m'a paralysée un moment.Et puis à un moment je me suis dit : tant que j'essaye de faire du mieux que je peux au moment où je le fais, c'est déjà pas mal. Arrêter de cogiter. Agir au moment voulu, pas avant.Ce que je vois aussi, c'est la progression. Six versions de ce roman. Le travail préparatoire, les prémices de l'idée (elle-même sortie de cinq autres idées). Tout ce chemin est là, même si le résultat en librairie n'est pas encore visible.La suiteComète sort en novembre 2026. La date exacte, je ne la connais pas encore, et dès que je la saurai je vous la partagerai. D'ici là, il reste sept mois pendant lesquels Capucine va travailler sur l'intégralité du roman, et on va commencer ce travail ensemble. Puis viendra la promotion, et je commencerai à vous en dire plus sur les personnages, les thématiques, l'univers.Pour les coulisses de tout ça au quotidien, mon canal VIP sur Instagram (pour y accéder, cliquer depuis votre téléphone) est là pour ça. Pas de spoil, juste plus de backstage sur ma vie d'autrice autour de Comète.Sonate en est à sa V2. Plumes est entre une V1 et une V1,5 : j'ai décidé d'ajouter un personnage, ce qui nécessite des changements conséquents, et j'attendais les retours de mon éditrice avant de me lancer. J'espère que tout ce que j'ai appris sur Comète va me servir pour la suite. Après tout, c'était mon premier roman.À bientôt, et prenez soin de vous.MahunaP.S. : Si vous voulez retrouver mes chroniques de lectures directement dans la newsletter, dites-le moi. Je les mets déjà sur Goodreads et Babelio, ce serait juste une question de les partager ici aussi. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit mahunapoesie.substack.com

Gospel of Moses?; For the Levites - called out; Redirecting Israel; Rebuilding the Temple?; Lively stones; Covetous practices; Abortions in Egypt?; Bondage of Egypt; Standing armies; William the conqueror; Law of Nations; No treaties; Covenants/Leagues; Power with the people?; Making agreements; History repeating itself; Arts of the Temple; No social security trust fund; Ear-tickling preachers; Replacement theology; Jesus, king of Judea; Rejecting Jesus?; Binding people together; Golden calf?; "Idolatry"; One purse; Changing word meanings; Altars of charity; Corban?; Burnt offerings?; Committing to loving neighbors; The story of Leviticus; Lev 7:1 Likewise…; vav+zayin-aleph-tav; Continuing from Lev 6; Two witnesses; Sophistry; Shearing sheep; Zoroaster?; Learning the past to not repeat it; Jews accepting Jesus; "Satan"; Parables; Leaving all behind to follow Jesus; "law" - tav-vav-resh-tav; Trespass offering; Status of offering; Sprinkling blood?; V3 fat of the rump; What if you didn't have sheep?; Offering value; Poker hand?; Kingdom business or doing your own thing; Anarchists?; Perfect law of liberty; Caring for neighbors; Kidneys?; Liver?; Why cryptic language?; Postponing the kingdom; Mystery Babylon; Getting scales off your eyes; Being doer's of the Word; Dry bones; Ministering to congregations; Election day?; Government corruption; "Holy"; Cougars; Offerings to take care of others; Giving wisely; Thanksgiving; "frying"; Why anoint with oil?; Spirit in the offering; Who are the priests?; DOers of the Word; v14 - heave offering; tav-vav-dalet-tav (Thanksgiving); Worldly ways; vs Righteousness; Two types of governments; Loving your enemy; Charity vs force; Tax-funded churches?; Straying from Christ's plan; Advocating repentance; Are you in?

In this episode, Chris Cochrane dives into Apple’s $599 MacBook Neo – the cheapest Mac laptop ever made – and whether it spells trouble for Chromebook makers. He also covers Samsung’s CEO blaming AI for rising phone prices, Framework raising RAM prices for the third time in three months, Meta unveiling four custom AI chips, NVIDIA’s GTC 2026 conference preview, a billion-dollar bet against large language models, Microsoft’s game-changing Project Helix Xbox with native Steam support, Windows 11’s new Xbox Mode, and SpaceX gearing up for a critical Starship Flight 12 test. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Chris if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Apple MacBook Neo The lead story covers Apple’s MacBook Neo. It launched at $599 and marks the cheapest Mac laptop ever made. The device runs on the A18 Pro chip from the iPhone 16 Pro. Cochrane notes a solid market for students, casual users, and anyone who needs a reliable home laptop. However, he advises photographers and videographers to invest in a MacBook Air or Pro instead. The real question remains whether this kills Chromebook sales in education. Samsung CEO Blames AI for Price Hikes Cochrane tackles Samsung’s Galaxy S26 price increases. CEO TM Roh blamed AI infrastructure demand for the hikes. Meanwhile, DDR4 DRAM prices surged sevenfold in a single year. Cochrane points out the irony. Samsung manufactures memory chips, shifted production toward AI data centers, and now cites that same shortage to justify higher consumer prices. He calls the situation “a little shady” but appreciates the transparency. Framework RAM Prices Up Again The RAM crisis extends beyond phones. Framework raised RAM prices for the third consecutive time in three months. Cochrane reinforces advice from a recent episode. He urges listeners to buy now before prices climb further. Analysts project peak prices by mid-2026. The shortage could last through late 2027. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Meta Unveils Four Custom AI Chips Cochrane reports on Meta’s four new MTIA chip generations. The company aims to reduce its dependence on NVIDIA by building custom silicon. The MTIA 300 is already in production. New generations will ship every six months through 2027. The chips are built on open-source RISC-V architecture and manufactured by TSMC. NVIDIA GTC 2026 Preview NVIDIA’s GTC conference starts Monday in San Jose. Jensen Huang promises “chips the world has never seen.” Rumored architectures include Rubin Ultra and Feynman. The keynote streams free at nvidia.com on Monday at 11am Pacific. Cochrane notes that while companies like Meta are building chips to escape NVIDIA, competition will eventually catch up. Yann LeCun’s AMI Labs Raises $1.03 Billion Former Meta AI chief Yann LeCun raised $1.03 billion for AMI Labs at a $3.5 billion valuation. It marks the largest European seed round in history for a company just four months old. LeCun is building “world models” that learn from physical reality rather than text. Backers include Jeff Bezos, NVIDIA, and Samsung. Cochrane notes both approaches to AI can coexist. Microsoft Project Helix Microsoft revealed Project Helix at GDC 2026. For the first time, an Xbox will natively support Steam and GOG. Cochrane sees it as both desperate and inevitable. The only reason to buy from the Xbox store would be exclusives. He notes this is a breath of fresh air after months of talk that the Xbox era was ending. Dev kits ship in 2027 with a consumer launch likely late 2027 or 2028. Windows 11 Xbox Mode Microsoft is rolling out Xbox Mode to all Windows 11 PCs in April. The full-screen controller-optimized interface works with Steam, Epic, and Battle.net. Cochrane sees it as the first half of Microsoft’s two-phase gaming strategy. Xbox Mode trains users now. Project Helix delivers dedicated hardware later. He asks whether Sony and Nintendo will follow in Xbox’s footsteps. SpaceX Starship Flight 12 SpaceX announced stacking complete for the next Super Heavy booster at Starbase. Flight 12 targets April and debuts V3 hardware with Raptor 3 engines. Orbital refueling remains the critical unknown for NASA’s Artemis III moon landing. SpaceX has a track record of delivering eventually, just never on Elon’s original timeline. The post Is the MacBook Neo a Chromebook Killer? #1860 appeared first on Geek News Central.

In this episode of LAB the Podcast, Zach Elliott sits down with Michael Barna, Tampa native, commercial real estate executive, and board member of VU VI VO (V3).Michael shares about his journey of faith, his life in business, and why he and his wife Bryn are passionate about supporting the work of V3. Together they discuss the importance of partnership behind the scenes, the role of beauty in expressing the gospel, and the growing vision of projects like “The Vision of Jesus” series.This conversation offers a glimpse into the people who help make the mission to express the life and beauty of the gospel.The Vision is Jesus Visual Series: https://vuvivo.com/the-vision-is-jesusSehnsucht Symphony | Listen: https://vuvivo.com/Support / Sponsor: https://vuvivo.com/supportFor More Videos, Subscribe: @VUVIVOV3 | https://www.youtube.com/@VUVIVOV3Follow: @labthepodcast | @vuvivo_v3 | @zachjelliottThank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast.Support the show

Tonight on The Late Night Vision Show we're reviewing the AGM Rattler V3 25-384 thermal rifle scope. This is a compact and affordable option built for hog and predator hunters. With a 384 resolution sensor, 2.5x base magnification, larger higher resolution display screen, and improved thermal sensor, the new Rattle V3 brings several updates over the previous Rattler V2 models. We discuss image quality, real world hunting performance, and whether the V3 25-384 is the right thermal for your needs.

Welcome to Episode 60 of Astronomy Daily Season Five! In today's episode, Anna and Avery cover six major stories from the world of space and astronomy — including a neutron star collision in an unprecedented location, the latest Artemis II news, and a cosmic mystery solved after decades.   Stories covered in this episode:   1. NASA Discovers Neutron Star Crash in Unexpected Location A fleet of NASA telescopes — including Chandra, Fermi, Swift, and Hubble — has detected a neutron star merger inside a tiny galaxy buried in a vast stream of gas, 4.7 billion light-years away. It's the first time this type of collision has been spotted in such an environment, and it may explain why gamma-ray bursts sometimes appear outside any galaxy — and how precious metals like gold and platinum ended up in distant stellar regions. Published in The Astrophysical Journal Letters.   2. Artemis II Flight Readiness Review NASA will host a Flight Readiness Review press conference on Thursday 12 March at Kennedy Space Center, covering progress toward the first crewed Artemis mission. The rocket is currently back in the Vehicle Assembly Building following a helium issue, with rollout to the launchpad expected around 19 March and a launch target of no earlier than 1 April 2026.   3. Firefly Alpha 'Stairway to Seven' Scrubbed Again Firefly Aerospace's Alpha rocket — attempting its return to flight after a 10-month grounding — has been scrubbed three times in 10 days. The latest scrub occurred on 10 March during fluid loading after off-nominal readings. A new launch date will be confirmed following engineering review. This mission is the final Block I Alpha flight, with the upgraded Block II debuting on Flight 8.   4. DART Mission Reveals 'Cosmic Snowball Fight' Between Asteroids Researchers at the University of Maryland have found the first direct visual proof of material transfer between two asteroids — fan-shaped streaks on the surface of asteroid moon Dimorphos, left by debris thrown off its parent asteroid Didymos at just 30.7 cm/s. The discovery provides visual confirmation of the YORP effect and has implications for planetary defence modelling. ESA's Hera mission arrives at Didymos in December 2026. Published in The Planetary Science Journal.   5. Starship Flight 12 — About Four Weeks Away SpaceX is approximately four weeks from the launch of Starship Flight 12, which will be the first flight of the upgraded V3 configuration — the most powerful version of the already record-breaking vehicle. Engineers have completed propellant system tests on Ship 39 at Starbase, Texas, and preflight preparations are continuing.   6. Giant Cosmic Sheet Discovered Around the Milky Way Astronomers from the University of Groningen, publishing in Nature Astronomy, have used advanced computer simulations to discover that the matter surrounding our Local Group is arranged in a vast, flat sheet — dominated by dark matter — stretching tens of millions of light-years across. This structure, flanked by enormous empty voids, explains why nearby galaxies are moving away from us rather than being pulled inward. It's the first detailed map of dark matter distribution in our cosmic neighbourhood.     Astronomy Daily is part of the Bitesz.com Podcast Network. Website: astronomydaily.io | Social: @AstroDailyPod on all major platformsBecome a supporter of this podcast: https://www.spreaker.com/podcast/astronomy-daily-space-news-updates--5648921/support.Sponsor Details:Ensure your online privacy by using NordVPN. To get our special listener deal and save a lot of money, visit www.bitesz.com/nordvpn. You'll be glad you did!Become a supporter of Astronomy Daily by joining our Supporters Club. Commercial free episodes daily are only a click way... Click HereThis episode includes AI-generated content.

Tonight on The Late Night Vision Show we review the AGM Rattler V3 35-640 LRF thermal rifle scope. This scope features a 2.5x base magnification, a 640 resolution sensor and a LRF built directly into the lens. With an onboard ballistic calculator and an American Defense Manufacturing QD mount included, the V3 brings serious capability to predator and hog hunters. We break down image quality, real world performance and ID range and discuss whether this new Rattler upgrade is a scope you should consider.

幻冬舎の暗号資産（仮想通貨）/ブロックチェーンなどWeb3領域の専門メディア「あたらしい経済 https://www.neweconomy.jp/ 」がおくる、Podcast番組です。 ーーーーー 【番組スポンサー】 この番組は、暗号資産取引におけるフルラインナップサービスを提供する「SBI VCトレード」のスポンサーでお届けします。 ーーーーー SBI VCトレードは、「暗号資産もSBI」のスローガンのもと、国内最大級のインターネット総合金融グループであるSBIグループの総合力を生かし、暗号資産取引におけるフルラインナップサービスを提供しております。暗号資産交換業者・第一種金融商品取引業者・電子決済手段等取引業者として高いセキュリティ体制のもと、暗号資産の売買にとどまらない暗号資産運用サービスや法人向けサービスの展開、さらにステーブルコインのユーエスディーシー（USDC）を国内で初めて取り扱っております。 ーーーーー SBI VCトレード公式サイト：https://account.sbivc.co.jp/signup?hc_ak=1RNML.3.M06AS ーーーーー 【紹介したニュース】 ・SBI、シンガポールの暗号資産取引所Coinhako買収の意向表明 ・トランプ大統領関連ブランド、クロノスのETFとビットコイン・イーサリアムのETF2本をSECに申請 ・X、株式・暗号資産データを表示する「スマート・キャッシュタグ」提供へ ・イーサリアム財団、トマシュ・スタンチャク共同エグゼクティブディレクターが退任へ ・エスプレッソ、ネイティブトークン「ESP」のエアドロ請求とステーキングを開始 ・Nyx、イーサリアムにおけるDEX取引の「公開・非公開ルート」格差を実証 ・WBTC、ハイパーレーンでイーサリアムとソラナ接続の設定追加か ・ライトニングラボ、AIエージェントが支払える決済基盤を公開。L402活用で ・ビットコイン量子耐性提案「BIP 360」、公式リポジトリに統合 ・アーベV3がマントルでローンチ、バイビットも連携 【あたらしい経済関連リンク】 ニュースの詳細や、アーカイブやその他の記事はこちらから https://www.neweconomy.jp/

Thursday, February 5, 2026 - Week 6 Happy #RareDisease & #BlackHistory Month!   #NaturalHistory means how this disease progresses.  Reminder: We have only been at this for 17 years, first patients were identified via Hamdan, 2009. https://pubmed.ncbi.nlm.nih.gov/19196676/   Retrospective Digital NHS: cureSYNGAP1.org/Citizen (Growing list of tools available to families, for free)   Prospective Multi-disciplinary Multi-site NHS: ProMMiS cureSYNGAP1.org/ProMMiS   Reminder, only possible by CS1 support for non-CHOP sites and travel plus huge gift to Penn. https://www.chop.edu/news/25-million-gift-penn-medicine-and-children-s-hospital-philadelphia-establishes-center-epilepsy   Potential for being a control arm in the future.   Protocol: https://www.linkedin.com/posts/curesyngap1_syngap1-stxbp1-dee-activity-7425223573134327808-SVEQ & early data: https://pubmed.ncbi.nlm.nih.gov/40119723/   Join the ~160 families who have enjoyed excellent clinical care and contributed tot he future of SYNGAP1.  Today, a 4 month old is going! CHOP: 119 new, V2- 67, V3- 32, V4- 10, V5- 4 CHCO: 37 new, V2- 7 Stanford: 8 new, V2- 2 Total: 164 (double counting one family who goes to multiple sites)   Survey English: https://curesyngap1.org/SurveyProMMiS Spanish: https://curesyngap1.org/encuestaProMMiS   94 Responses to survey, so far: Why not? Did not receive an invitation, Too far to travel, Too expensive Barriers: Logistics, Cost, Time off, Behaviors, Insurance   ETC. Pubmed 2026 is at 6!  But will soon be 7 with the McKee paper! https://pubmed.ncbi.nlm.nih.gov/?term=syngap1&filter=years.2026-2026&sort=date   Biorepository needs more samples.  Check out the list and map here https://docs.google.com/presentation/d/1IjaHILXj7AlBDlbTJgvYrkBS_0bnI8VCnTIiPXJ7JGM/edit?usp=sharing and contribute blood.  The data and research we do with these samples is invaluable.   May 28, San Francisco, CA: cureSYNGAP1.org/SF26   SOCIAL MATTERS 4,668 LinkedIn.  https://www.linkedin.com/company/curesyngap1/ 1,520 YouTube.  https://www.youtube.com/@CureSYNGAP1 11.2k Twitter https://twitter.com/cureSYNGAP1 45k Insta https://www.instagram.com/curesyngap1/   $CAMP stock is at $3.59 on 5 Feb. ‘26 https://www.google.com/finance/beta/quote/CAMP:NASDAQ   Like and subscribe to this podcast wherever you listen.  https://curesyngap1.org/podcasts/syngap10/ Episode 198 of #Syngap10 #CureSYNGAP1 #Podcast

Statisícová demonstrace na Staroměstském a Václavském náměstí nebyla jen důsledkem textových zpráv ministra zahraničí Macinky, které prezident Pavel označil za vydírání. Šlo maximálně o poslední kapku, kterou přetekl pohár trpělivosti části české veřejnosti s Babišovou vládou. O co šlo? Už řadu týdnů je část společnosti znejistěna z toho, kam se ubírá český stát. Začalo to reorientací zahraniční politiky a orientací na autoritativní režimy Slovenska a Maďarska. Zatímco část západních zemí a Polsko uvažuje o užší integraci bezpečnostní politiky, mluví český premiér stále o spolupráci s Maďary a Slováky ve V3. Jejich proputinovská politika nás ovšem tahá na Balkán, kde Češi nemají žádné zájmy. Stále víc se taky orientace těchto zemí na autoritativní režimy začíná projevovat v utužování vnitřní politiky. V Česku se to například demonstruje pokusem postátnit Českou televizi. V jistém smyslu je to spor mezi reprezentanty českých a uherských politických tradic. Nebo ještě jinak - mezi těmi, kteří chtějí stát posunout k autoritativním metodám řízení. Je na každém, co si vybere. Pražská demonstrace byla hlasitým NE těch, co nechtějí systém omezené demokracie.

In this episode of LAB the Podcast, Zach Elliott sits down with artist and designer Mauricio Vega, founder of the SuperVivo Art Collective and the first commissioned artist for V3's Freedom Is Beautiful project.Mauricio shares his life journey—from growing up under communism in Cuba, navigating scarcity and censorship,  to discovering faith, creativity, and calling in the midst of political and spiritual tension. This conversation introduces the very first Freedom Is Beautiful art commission—an original piece created in collaboration with SuperVivo that launches an ongoing annual series. Together, we talk about the power of beauty to confront darkness, and why leading with beauty matters in the fight against human trafficking.Support / Sponsor: https://vuvivo.com/supportFor More Videos, Subscribe:   @VUVIVOV3 | https://www.youtube.com/@VUVIVOV3Follow: @labthepodcast | @vuvivo_v3 | @zachjelliottShop V3 Conservatory Collective: https://v3conservatorycollective.myshopify.com/collectionsOrder Freedom Roast: https://www.buddybrew.com/products/life-beauty-blend-lab-podcast-x-bbc-collaboration#LABthePodcast #FreedomIsBeautiful #MauricioVega #SuperVivo #ArtAndFaith #ChristianArtists #FaithAndCulture #LeadingWithBeauty #ArtAsResistance #CreativeFaith #BeautyAndJustice #ChristianImagination #HumanTraffickingAwareness #LABInitiative #V3 #FaithInAction #CulturalEngagement #ArtForGoodSupport the show

This episode is a little different. I'm diving into tennis gear, everything except the racquet and shoes, with the founder of one of my favorite brands, ADV. I use their bags, dampeners, and even sweat bands.Lavie Sak has a tech background, plays tennis, and used to coach as well. We explore how his company lets players lead the design of its products. From dampeners to grips to their popular bags, ADV innovates as well as any company in tennis. Lavie shares the messy first prototype, the tough cuts, and why ADV chose quality over mass pricing while partnering with pros who give real feedback.How ADV got startedDampener testing across 27 racquets and sound profilesTennis grips - how to choose between dry and tackyDesigning the ADV Pro bag and prioritizing featuresHow they develop an idea into a finished productFeedback loops that shaped V2 and V3 of the bagWhy ADV makes two backpacksCurated training kit components and use casesPricing tradeoffs, materials, and longevityDoubles tips on serve variety and aiming middlePartnerships with Sem Verbeek, JP Smith, and Zus TennisI use the ADV Pro for travel and the Flex bag locally around Fort Worth.Links:Shop ADV TennisLearn more about ADV & follow:ADV Tennis - InstagramADV Tennis - YouTubeADV Tennis - Facebook ----- **Join the #1 Doubles Strategy Newsletter for Club Tennis Players** New doubles strategy lessons weekly straight to your inbox **Become a Tennis Tribe Member**Tennis Tribe Members get access to premium video lessons, a monthly member-only webinar, doubles strategy Ebooks & Courses, exclusive discounts on tennis gear, and more. Learn More & Sign Up Here **Other Free Doubles Content** Serve Strategy Cheatsheet Return Strategy Cheatsheet Serve Strategy 101 - Video Course

Mark Omo and James Rowley spoke with us about safecracking, security, and the ethics of doing a bad job. Mark and James gave an excellent talk on the development of their safecracking tools at DEF CON 33: Cash, Drugs, and Guns: Why Your Safes Aren't Safe. It included a section of interaction involving the lock maker's lawyers bullying them and how the Electronic Frontier Foundation (EFF) has a Coders' Rights Project to support security research. As mentioned in the show, the US Cyber Trust Mark baseline has a very straightforward checklist; NISTIR 8259 is the overall standard, NISTIR 8259A is the technical checklist, NISTIR 8259B is the non-technical (process/maintenance) checklist. Roughly the process is NISTIR 8259 -> Plan/Guidance; NISTIR 8259A -> Build; NISTIR 8259B -> Support. We discussed ETSI EN 303 645 V3.1.3 (2024-09) Cyber Security for Consumer Internet of Things: Baseline Requirement and the EU's CRA: Cyber Resilience Act which requires manufacturers to implement security by design, have security by default, provide free security updates, and protect confidentiality. See more here: How to prepare for the Cyber Resilience Act (CRA): A guide for manufacturers. We didn't mention Ghidra in the show specifically, but it is a tool for reverse engineering software: given a binary image, what was the code? Some of the safecracking was helped by the lock maker using the same processor in the PS4 which has many people looking to crack it. See fail0verflow :: PS4 Aux Hax 1: Intro & Aeolia for an introduction.  Mark and James have presented multiple times at Hardwear.io, a series of conferences and webinars about security (not wearables). Some related highlights: 2024: Breaking Into Chips By Reading The Datasheet is about the exploit developed for the older lock version on the safes discussed in the show. USA 2025: Extracting Protected Flash With STM32-TraceRip is about STM32 exploits.

Happy New Year! You may have noticed that in 2025 we had moved toward YouTube as our primary podcasting platform. As we'll explain in the next State of Latent Space post, we'll be doubling down on Substack again and improving the experience for the over 100,000 of you who look out for our emails and website updates!We first mentioned Artificial Analysis in 2024, when it was still a side project in a Sydney basement. They then were one of the few Nat Friedman and Daniel Gross' AIGrant companies to raise a full seed round from them and have now become the independent gold standard for AI benchmarking—trusted by developers, enterprises, and every major lab to navigate the exploding landscape of models, providers, and capabilities.We have chatted with both Clementine Fourrier of HuggingFace's OpenLLM Leaderboard and (the freshly valued at $1.7B) Anastasios Angelopoulos of LMArena on their approaches to LLM evals and trendspotting, but Artificial Analysis have staked out an enduring and important place in the toolkit of the modern AI Engineer by doing the best job of independently running the most comprehensive set of evals across the widest range of open and closed models, and charting their progress for broad industry analyst use.George Cameron and Micah-Hill Smith have spent two years building Artificial Analysis into the platform that answers the questions no one else will: Which model is actually best for your use case? What are the real speed-cost trade-offs? And how open is “open” really?We discuss:* The origin story: built as a side project in 2023 while Micah was building a legal AI assistant, launched publicly in January 2024, and went viral after Swyx's retweet* Why they run evals themselves: labs prompt models differently, cherry-pick chain-of-thought examples (Google Gemini 1.0 Ultra used 32-shot prompts to beat GPT-4 on MMLU), and self-report inflated numbers* The mystery shopper policy: they register accounts not on their own domain and run intelligence + performance benchmarks incognito to prevent labs from serving different models on private endpoints* How they make money: enterprise benchmarking insights subscription (standardized reports on model deployment, serverless vs. managed vs. leasing chips) and private custom benchmarking for AI companies (no one pays to be on the public leaderboard)* The Intelligence Index (V3): synthesizes 10 eval datasets (MMLU, GPQA, agentic benchmarks, long-context reasoning) into a single score, with 95% confidence intervals via repeated runs* Omissions Index (hallucination rate): scores models from -100 to +100 (penalizing incorrect answers, rewarding ”I don't know”), and Claude models lead with the lowest hallucination rates despite not always being the smartest* GDP Val AA: their version of OpenAI's GDP-bench (44 white-collar tasks with spreadsheets, PDFs, PowerPoints), run through their Stirrup agent harness (up to 100 turns, code execution, web search, file system), graded by Gemini 3 Pro as an LLM judge (tested extensively, no self-preference bias)* The Openness Index: scores models 0-18 on transparency of pre-training data, post-training data, methodology, training code, and licensing (AI2 OLMo 2 leads, followed by Nous Hermes and NVIDIA Nemotron)* The smiling curve of AI costs: GPT-4-level intelligence is 100-1000x cheaper than at launch (thanks to smaller models like Amazon Nova), but frontier reasoning models in agentic workflows cost more than ever (sparsity, long context, multi-turn agents)* Why sparsity might go way lower than 5%: GPT-4.5 is ~5% active, Gemini models might be ~3%, and Omissions Index accuracy correlates with total parameters (not active), suggesting massive sparse models are the future* Token efficiency vs. turn efficiency: GPT-5 costs more per token but solves Tau-bench in fewer turns (cheaper overall), and models are getting better at using more tokens only when needed (5.1 Codex has tighter token distributions)* V4 of the Intelligence Index coming soon: adding GDP Val AA, Critical Point, hallucination rate, and dropping some saturated benchmarks (human-eval-style coding is now trivial for small models)Links to Artificial Analysis* Website: https://artificialanalysis.ai* George Cameron on X: https://x.com/georgecameron* Micah-Hill Smith on X: https://x.com/micahhsmithFull Episode on YouTubeTimestamps* 00:00 Introduction: Full Circle Moment and Artificial Analysis Origins* 01:19 Business Model: Independence and Revenue Streams* 04:33 Origin Story: From Legal AI to Benchmarking Need* 16:22 AI Grant and Moving to San Francisco* 19:21 Intelligence Index Evolution: From V1 to V3* 11:47 Benchmarking Challenges: Variance, Contamination, and Methodology* 13:52 Mystery Shopper Policy and Maintaining Independence* 28:01 New Benchmarks: Omissions Index for Hallucination Detection* 33:36 Critical Point: Hard Physics Problems and Research-Level Reasoning* 23:01 GDP Val AA: Agentic Benchmark for Real Work Tasks* 50:19 Stirrup Agent Harness: Open Source Agentic Framework* 52:43 Openness Index: Measuring Model Transparency Beyond Licenses* 58:25 The Smiling Curve: Cost Falling While Spend Rising* 1:02:32 Hardware Efficiency: Blackwell Gains and Sparsity Limits* 1:06:23 Reasoning Models and Token Efficiency: The Spectrum Emerges* 1:11:00 Multimodal Benchmarking: Image, Video, and Speech Arenas* 1:15:05 Looking Ahead: Intelligence Index V4 and Future Directions* 1:16:50 Closing: The Insatiable Demand for IntelligenceTranscriptMicah [00:00:06]: This is kind of a full circle moment for us in a way, because the first time artificial analysis got mentioned on a podcast was you and Alessio on Latent Space. Amazing.swyx [00:00:17]: Which was January 2024. I don't even remember doing that, but yeah, it was very influential to me. Yeah, I'm looking at AI News for Jan 17, or Jan 16, 2024. I said, this gem of a models and host comparison site was just launched. And then I put in a few screenshots, and I said, it's an independent third party. It clearly outlines the quality versus throughput trade-off, and it breaks out by model and hosting provider. I did give you s**t for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there. Welcome, George and Micah, to Latent Space. I've been following your progress. Congrats on... It's been an amazing year. You guys have really come together to be the presumptive new gardener of AI, right? Which is something that...George [00:01:09]: Yeah, but you can't pay us for better results.swyx [00:01:12]: Yes, exactly.George [00:01:13]: Very important.Micah [00:01:14]: Start off with a spicy take.swyx [00:01:18]: Okay, how do I pay you?Micah [00:01:20]: Let's get right into that.swyx [00:01:21]: How do you make money?Micah [00:01:24]: Well, very happy to talk about that. So it's been a big journey the last couple of years. Artificial analysis is going to be two years old in January 2026. Which is pretty soon now. We first run the website for free, obviously, and give away a ton of data to help developers and companies navigate AI and make decisions about models, providers, technologies across the AI stack for building stuff. We're very committed to doing that and tend to keep doing that. We have, along the way, built a business that is working out pretty sustainably. We've got just over 20 people now and two main customer groups. So we want to be... We want to be who enterprise look to for data and insights on AI, so we want to help them with their decisions about models and technologies for building stuff. And then on the other side, we do private benchmarking for companies throughout the AI stack who build AI stuff. So no one pays to be on the website. We've been very clear about that from the very start because there's no use doing what we do unless it's independent AI benchmarking. Yeah. But turns out a bunch of our stuff can be pretty useful to companies building AI stuff.swyx [00:02:38]: And is it like, I am a Fortune 500, I need advisors on objective analysis, and I call you guys and you pull up a custom report for me, you come into my office and give me a workshop? What kind of engagement is that?George [00:02:53]: So we have a benchmarking and insight subscription, which looks like standardized reports that cover key topics or key challenges enterprises face when looking to understand AI and choose between all the technologies. And so, for instance, one of the report is a model deployment report, how to think about choosing between serverless inference, managed deployment solutions, or leasing chips. And running inference yourself is an example kind of decision that big enterprises face, and it's hard to reason through, like this AI stuff is really new to everybody. And so we try and help with our reports and insight subscription. Companies navigate that. We also do custom private benchmarking. And so that's very different from the public benchmarking that we publicize, and there's no commercial model around that. For private benchmarking, we'll at times create benchmarks, run benchmarks to specs that enterprises want. And we'll also do that sometimes for AI companies who have built things, and we help them understand what they've built with private benchmarking. Yeah. So that's a piece mainly that we've developed through trying to support everybody publicly with our public benchmarks. Yeah.swyx [00:04:09]: Let's talk about TechStack behind that. But okay, I'm going to rewind all the way to when you guys started this project. You were all the way in Sydney? Yeah. Well, Sydney, Australia for me.Micah [00:04:19]: George was an SF, but he's Australian, but he moved here already. Yeah.swyx [00:04:22]: And I remember I had the Zoom call with you. What was the impetus for starting artificial analysis in the first place? You know, you started with public benchmarks. And so let's start there. We'll go to the private benchmark. Yeah.George [00:04:33]: Why don't we even go back a little bit to like why we, you know, thought that it was needed? Yeah.Micah [00:04:40]: The story kind of begins like in 2022, 2023, like both George and I have been into AI stuff for quite a while. In 2023 specifically, I was trying to build a legal AI research assistant. So it actually worked pretty well for its era, I would say. Yeah. Yeah. So I was finding that the more you go into building something using LLMs, the more each bit of what you're doing ends up being a benchmarking problem. So had like this multistage algorithm thing, trying to figure out what the minimum viable model for each bit was, trying to optimize every bit of it as you build that out, right? Like you're trying to think about accuracy, a bunch of other metrics and performance and cost. And mostly just no one was doing anything to independently evaluate all the models. And certainly not to look at the trade-offs for speed and cost. So we basically set out just to build a thing that developers could look at to see the trade-offs between all of those things measured independently across all the models and providers. Honestly, it was probably meant to be a side project when we first started doing it.swyx [00:05:49]: Like we didn't like get together and say like, Hey, like we're going to stop working on all this stuff. I'm like, this is going to be our main thing. When I first called you, I think you hadn't decided on starting a company yet.Micah [00:05:58]: That's actually true. I don't even think we'd pause like, like George had an acquittance job. I didn't quit working on my legal AI thing. Like it was genuinely a side project.George [00:06:05]: We built it because we needed it as people building in the space and thought, Oh, other people might find it useful too. So we'll buy domain and link it to the Vercel deployment that we had and tweet about it. And, but very quickly it started getting attention. Thank you, Swyx for, I think doing an initial retweet and spotlighting it there. This project that we released. And then very quickly though, it was useful to others, but very quickly it became more useful as the number of models released accelerated. We had Mixtrel 8x7B and it was a key. That's a fun one. Yeah. Like a open source model that really changed the landscape and opened up people's eyes to other serverless inference providers and thinking about speed, thinking about cost. And so that was a key. And so it became more useful quite quickly. Yeah.swyx [00:07:02]: What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that's obviously more relevant. But I want to stay on the origin story a little bit more. When you started out, I would say, I think the status quo at the time was every paper would come out and they would report their numbers versus competitor numbers. And that's basically it. And I remember I did the legwork. I think everyone has some knowledge. I think there's some version of Excel sheet or a Google sheet where you just like copy and paste the numbers from every paper and just post it up there. And then sometimes they don't line up because they're independently run. And so your numbers are going to look better than... Your reproductions of other people's numbers are going to look worse because you don't hold their models correctly or whatever the excuse is. I think then Stanford Helm, Percy Liang's project would also have some of these numbers. And I don't know if there's any other source that you can cite. The way that if I were to start artificial analysis at the same time you guys started, I would have used the Luther AI's eval framework harness. Yup.Micah [00:08:06]: Yup. That was some cool stuff. At the end of the day, running these evals, it's like if it's a simple Q&A eval, all you're doing is asking a list of questions and checking if the answers are right, which shouldn't be that crazy. But it turns out there are an enormous number of things that you've got control for. And I mean, back when we started the website. Yeah. Yeah. Like one of the reasons why we realized that we had to run the evals ourselves and couldn't just take rules from the labs was just that they would all prompt the models differently. And when you're competing over a few points, then you can pretty easily get- You can put the answer into the model. Yeah. That in the extreme. And like you get crazy cases like back when I'm Googled a Gemini 1.0 Ultra and needed a number that would say it was better than GPT-4 and like constructed, I think never published like chain of thought examples. 32 of them in every topic in MLU to run it, to get the score, like there are so many things that you- They never shipped Ultra, right? That's the one that never made it up. Not widely. Yeah. Yeah. Yeah. I mean, I'm sure it existed, but yeah. So we were pretty sure that we needed to run them ourselves and just run them in the same way across all the models. Yeah. And we were, we also did certain from the start that you couldn't look at those in isolation. You needed to look at them alongside the cost and performance stuff. Yeah.swyx [00:09:24]: Okay. A couple of technical questions. I mean, so obviously I also thought about this and I didn't do it because of cost. Yep. Did you not worry about costs? Were you funded already? Clearly not, but you know. No. Well, we definitely weren't at the start.Micah [00:09:36]: So like, I mean, we're paying for it personally at the start. There's a lot of money. Well, the numbers weren't nearly as bad a couple of years ago. So we certainly incurred some costs, but we were probably in the order of like hundreds of dollars of spend across all the benchmarking that we were doing. Yeah. So nothing. Yeah. It was like kind of fine. Yeah. Yeah. These days that's gone up an enormous amount for a bunch of reasons that we can talk about. But yeah, it wasn't that bad because you can also remember that like the number of models we were dealing with was hardly any and the complexity of the stuff that we wanted to do to evaluate them was a lot less. Like we were just asking some Q&A type questions and then one specific thing was for a lot of evals initially, we were just like sampling an answer. You know, like, what's the answer for this? Like, we didn't want to go into the answer directly without letting the models think. We weren't even doing chain of thought stuff initially. And that was the most useful way to get some results initially. Yeah.swyx [00:10:33]: And so for people who haven't done this work, literally parsing the responses is a whole thing, right? Like because sometimes the models, the models can answer any way they feel fit and sometimes they actually do have the right answer, but they just returned the wrong format and they will get a zero for that unless you work it into your parser. And that involves more work. And so, I mean, but there's an open question whether you should give it points for not following your instructions on the format.Micah [00:11:00]: It depends what you're looking at, right? Because you can, if you're trying to see whether or not it can solve a particular type of reasoning problem, and you don't want to test it on its ability to do answer formatting at the same time, then you might want to use an LLM as answer extractor approach to make sure that you get the answer out no matter how unanswered. But these days, it's mostly less of a problem. Like, if you instruct a model and give it examples of what the answers should look like, it can get the answers in your format, and then you can do, like, a simple regex.swyx [00:11:28]: Yeah, yeah. And then there's other questions around, I guess, sometimes if you have a multiple choice question, sometimes there's a bias towards the first answer, so you have to randomize the responses. All these nuances, like, once you dig into benchmarks, you're like, I don't know how anyone believes the numbers on all these things. It's so dark magic.Micah [00:11:47]: You've also got, like… You've got, like, the different degrees of variance in different benchmarks, right? Yeah. So, if you run four-question multi-choice on a modern reasoning model at the temperatures suggested by the labs for their own models, the variance that you can see on a four-question multi-choice eval is pretty enormous if you only do a single run of it and it has a small number of questions, especially. So, like, one of the things that we do is run an enormous number of all of our evals when we're developing new ones and doing upgrades to our intelligence index to bring in new things. Yeah. So, that we can dial in the right number of repeats so that we can get to the 95% confidence intervals that we're comfortable with so that when we pull that together, we can be confident in intelligence index to at least as tight as, like, a plus or minus one at a 95% confidence. Yeah.swyx [00:12:32]: And, again, that just adds a straight multiple to the cost. Oh, yeah. Yeah, yeah.George [00:12:37]: So, that's one of many reasons that cost has gone up a lot more than linearly over the last couple of years. We report a cost to run the artificial analysis. We report a cost to run the artificial analysis intelligence index on our website, and currently that's assuming one repeat in terms of how we report it because we want to reflect a bit about the weighting of the index. But our cost is actually a lot higher than what we report there because of the repeats.swyx [00:13:03]: Yeah, yeah, yeah. And probably this is true, but just checking, you don't have any special deals with the labs. They don't discount it. You just pay out of pocket or out of your sort of customer funds. Oh, there is a mix. So, the issue is that sometimes they may give you a special end point, which is… Ah, 100%.Micah [00:13:21]: Yeah, yeah, yeah. Exactly. So, we laser focus, like, on everything we do on having the best independent metrics and making sure that no one can manipulate them in any way. There are quite a lot of processes we've developed over the last couple of years to make that true for, like, the one you bring up, like, right here of the fact that if we're working with a lab, if they're giving us a private endpoint to evaluate a model, that it is totally possible. That what's sitting behind that black box is not the same as they serve on a public endpoint. We're very aware of that. We have what we call a mystery shopper policy. And so, and we're totally transparent with all the labs we work with about this, that we will register accounts not on our own domain and run both intelligence evals and performance benchmarks… Yeah, that's the job. …without them being able to identify it. And no one's ever had a problem with that. Because, like, a thing that turns out to actually be quite a good… …good factor in the industry is that they all want to believe that none of their competitors could manipulate what we're doing either.swyx [00:14:23]: That's true. I never thought about that. I've been in the database data industry prior, and there's a lot of shenanigans around benchmarking, right? So I'm just kind of going through the mental laundry list. Did I miss anything else in this category of shenanigans? Oh, potential shenanigans.Micah [00:14:36]: I mean, okay, the biggest one, like, that I'll bring up, like, is more of a conceptual one, actually, than, like, direct shenanigans. It's that the things that get measured become things that get targeted by labs that they're trying to build, right? Exactly. So that doesn't mean anything that we should really call shenanigans. Like, I'm not talking about training on test set. But if you know that you're going to be great at another particular thing, if you're a researcher, there are a whole bunch of things that you can do to try to get better at that thing that preferably are going to be helpful for a wide range of how actual users want to use the thing that you're building. But will not necessarily work. Will not necessarily do that. So, for instance, the models are exceptional now at answering competition maths problems. There is some relevance of that type of reasoning, that type of work, to, like, how we might use modern coding agents and stuff. But it's clearly not one for one. So the thing that we have to be aware of is that once an eval becomes the thing that everyone's looking at, scores can get better on it without there being a reflection of overall generalized intelligence of these models. Getting better. That has been true for the last couple of years. It'll be true for the next couple of years. There's no silver bullet to defeat that other than building new stuff to stay relevant and measure the capabilities that matter most to real users. Yeah.swyx [00:15:58]: And we'll cover some of the new stuff that you guys are building as well, which is cool. Like, you used to just run other people's evals, but now you're coming up with your own. And I think, obviously, that is a necessary path once you're at the frontier. You've exhausted all the existing evals. I think the next point in history that I have for you is AI Grant that you guys decided to join and move here. What was it like? I think you were in, like, batch two? Batch four. Batch four. Okay.Micah [00:16:26]: I mean, it was great. Nat and Daniel are obviously great. And it's a really cool group of companies that we were in AI Grant alongside. It was really great to get Nat and Daniel on board. Obviously, they've done a whole lot of great work in the space with a lot of leading companies and were extremely aligned. With the mission of what we were trying to do. Like, we're not quite typical of, like, a lot of the other AI startups that they've invested in.swyx [00:16:53]: And they were very much here for the mission of what we want to do. Did they say any advice that really affected you in some way or, like, were one of the events very impactful? That's an interesting question.Micah [00:17:03]: I mean, I remember fondly a bunch of the speakers who came and did fireside chats at AI Grant.swyx [00:17:09]: Which is also, like, a crazy list. Yeah.George [00:17:11]: Oh, totally. Yeah, yeah, yeah. There was something about, you know, speaking to Nat and Daniel about the challenges of working through a startup and just working through the questions that don't have, like, clear answers and how to work through those kind of methodically and just, like, work through the hard decisions. And they've been great mentors to us as we've built artificial analysis. Another benefit for us was that other companies in the batch and other companies in AI Grant are pushing the capabilities. Yeah. And I think that's a big part of what AI can do at this time. And so being in contact with them, making sure that artificial analysis is useful to them has been fantastic for supporting us in working out how should we build out artificial analysis to continue to being useful to those, like, you know, building on AI.swyx [00:17:59]: I think to some extent, I'm mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier. Yeah. Do you disagree?Micah [00:18:09]: To some extent. To some extent. But then, so a lot of what the AI Grant companies are doing is taking capabilities coming out of the labs and trying to push the limits of what they can do across the entire stack for building great applications, which actually makes some of them pretty archetypical power users of artificial analysis. Some of the people with the strongest opinions about what we're doing well and what we're not doing well and what they want to see next from us. Yeah. Yeah. Because when you're building any kind of AI application now, chances are you're using a whole bunch of different models. You're maybe switching reasonably frequently for different models and different parts of your application to optimize what you're able to do with them at an accuracy level and to get better speed and cost characteristics. So for many of them, no, they're like not commercial customers of ours, like we don't charge for all our data on the website. Yeah. They are absolutely some of our power users.swyx [00:19:07]: So let's talk about just the evals as well. So you start out from the general like MMU and GPQA stuff. What's next? How do you sort of build up to the overall index? What was in V1 and how did you evolve it? Okay.Micah [00:19:22]: So first, just like background, like we're talking about the artificial analysis intelligence index, which is our synthesis metric that we pulled together currently from 10 different eval data sets to give what? We're pretty much the same as that. Pretty confident is the best single number to look at for how smart the models are. Obviously, it doesn't tell the whole story. That's why we published the whole website of all the charts to dive into every part of it and look at the trade-offs. But best single number. So right now, it's got a bunch of Q&A type data sets that have been very important to the industry, like a couple that you just mentioned. It's also got a couple of agentic data sets. It's got our own long context reasoning data set and some other use case focused stuff. As time goes on. The things that we're most interested in that are going to be important to the capabilities that are becoming more important for AI, what developers are caring about, are going to be first around agentic capabilities. So surprise, surprise. We're all loving our coding agents and how the model is going to perform like that and then do similar things for different types of work are really important to us. The linking to use cases to economically valuable use cases are extremely important to us. And then we've got some of the. Yeah. These things that the models still struggle with, like working really well over long contexts that are not going to go away as specific capabilities and use cases that we need to keep evaluating.swyx [00:20:46]: But I guess one thing I was driving was like the V1 versus the V2 and how bad it was over time.Micah [00:20:53]: Like how we've changed the index to where we are.swyx [00:20:55]: And I think that reflects on the change in the industry. Right. So that's a nice way to tell that story.Micah [00:21:00]: Well, V1 would be completely saturated right now. Almost every model coming out because doing things like writing the Python functions and human evil is now pretty trivial. It's easy to forget, actually, I think how much progress has been made in the last two years. Like we obviously play the game constantly of like the today's version versus last week's version and the week before and all of the small changes in the horse race between the current frontier and who has the best like smaller than 10B model like right now this week. Right. And that's very important to a lot of developers and people and especially in this particular city of San Francisco. But when you zoom out a couple of years ago, literally most of what we were doing to evaluate the models then would all be 100% solved by even pretty small models today. And that's been one of the key things, by the way, that's driven down the cost of intelligence at every tier of intelligence. We can talk about more in a bit. So V1, V2, V3, we made things harder. We covered a wider range of use cases. And we tried to get closer to things developers care about as opposed to like just the Q&A type stuff that MMLU and GPQA represented. Yeah.swyx [00:22:12]: I don't know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it. Yeah.Micah [00:22:21]: Let's do it. Okay. This would be a pretty good way to chat about a few of the new things we've launched recently. Yeah.George [00:22:26]: And I think a little bit about the direction that we want to take it. And we want to push benchmarks. Currently, the intelligence index and evals focus a lot on kind of raw intelligence. But we kind of want to diversify how we think about intelligence. And we can talk about it. But kind of new evals that we've kind of built and partnered on focus on topics like hallucination. And we've got a lot of topics that I think are not covered by the current eval set that should be. And so we want to bring that forth. But before we get into that.swyx [00:23:01]: And so for listeners, just as a timestamp, right now, number one is Gemini 3 Pro High. Then followed by Cloud Opus at 70. Just 5.1 high. You don't have 5.2 yet. And Kimi K2 Thinking. Wow. Still hanging in there. So those are the top four. That will date this podcast quickly. Yeah. Yeah. I mean, I love it. I love it. No, no. 100%. Look back this time next year and go, how cute. Yep.George [00:23:25]: Totally. A quick view of that is, okay, there's a lot. I love it. I love this chart. Yeah.Micah [00:23:30]: This is such a favorite, right? Yeah. And almost every talk that George or I give at conferences and stuff, we always put this one up first to just talk about situating where we are in this moment in history. This, I think, is the visual version of what I was saying before about the zooming out and remembering how much progress there's been. If we go back to just over a year ago, before 01, before Cloud Sonnet 3.5, we didn't have reasoning models or coding agents as a thing. And the game was very, very different. If we go back even a little bit before then, we're in the era where, when you look at this chart, open AI was untouchable for well over a year. And, I mean, you would remember that time period well of there being very open questions about whether or not AI was going to be competitive, like full stop, whether or not open AI would just run away with it, whether we would have a few frontier labs and no one else would really be able to do anything other than consume their APIs. I am quite happy overall that the world that we have ended up in is one where... Multi-model. Absolutely. And strictly more competitive every quarter over the last few years. Yeah. This year has been insane. Yeah.George [00:24:42]: You can see it. This chart with everything added is hard to read currently. There's so many dots on it, but I think it reflects a little bit what we felt, like how crazy it's been.swyx [00:24:54]: Why 14 as the default? Is that a manual choice? Because you've got service now in there that are less traditional names. Yeah.George [00:25:01]: It's models that we're kind of highlighting by default in our charts, in our intelligence index. Okay.swyx [00:25:07]: You just have a manually curated list of stuff.George [00:25:10]: Yeah, that's right. But something that I actually don't think every artificial analysis user knows is that you can customize our charts and choose what models are highlighted. Yeah. And so if we take off a few names, it gets a little easier to read.swyx [00:25:25]: Yeah, yeah. A little easier to read. Totally. Yeah. But I love that you can see the all one jump. Look at that. September 2024. And the DeepSeek jump. Yeah.George [00:25:34]: Which got close to OpenAI's leadership. They were so close. I think, yeah, we remember that moment. Around this time last year, actually.Micah [00:25:44]: Yeah, yeah, yeah. I agree. Yeah, well, a couple of weeks. It was Boxing Day in New Zealand when DeepSeek v3 came out. And we'd been tracking DeepSeek and a bunch of the other global players that were less known over the second half of 2024 and had run evals on the earlier ones and stuff. I very distinctly remember Boxing Day in New Zealand, because I was with family for Christmas and stuff, running the evals and getting back result by result on DeepSeek v3. So this was the first of their v3 architecture, the 671b MOE.Micah [00:26:19]: And we were very, very impressed. That was the moment where we were sure that DeepSeek was no longer just one of many players, but had jumped up to be a thing. The world really noticed when they followed that up with the RL working on top of v3 and R1 succeeding a few weeks later. But the groundwork for that absolutely was laid with just extremely strong base model, completely open weights that we had as the best open weights model. So, yeah, that's the thing that you really see in the game. But I think that we got a lot of good feedback on Boxing Day. us on Boxing Day last year.George [00:26:48]: Boxing Day is the day after Christmas for those not familiar.George [00:26:54]: I'm from Singapore.swyx [00:26:55]: A lot of us remember Boxing Day for a different reason, for the tsunami that happened. Oh, of course. Yeah, but that was a long time ago. So yeah. So this is the rough pitch of AAQI. Is it A-A-Q-I or A-A-I-I? I-I. Okay. Good memory, though.Micah [00:27:11]: I don't know. I'm not used to it. Once upon a time, we did call it Quality Index, and we would talk about quality, performance, and price, but we changed it to intelligence.George [00:27:20]: There's been a few naming changes. We added hardware benchmarking to the site, and so benchmarks at a kind of system level. And so then we changed our throughput metric to, we now call it output speed, and thenswyx [00:27:32]: throughput makes sense at a system level, so we took that name. Take me through more charts. What should people know? Obviously, the way you look at the site is probably different than how a beginner might look at it.Micah [00:27:42]: Yeah, that's fair. There's a lot of fun stuff to dive into. Maybe so we can hit past all the, like, we have lots and lots of emails and stuff. The interesting ones to talk about today that would be great to bring up are a few of our recent things, I think, that probably not many people will be familiar with yet. So first one of those is our omniscience index. So this one is a little bit different to most of the intelligence evils that we've run. We built it specifically to look at the embedded knowledge in the models and to test hallucination by looking at when the model doesn't know the answer, so not able to get it correct, what's its probability of saying, I don't know, or giving an incorrect answer. So the metric that we use for omniscience goes from negative 100 to positive 100. Because we're simply taking off a point if you give an incorrect answer to the question. We're pretty convinced that this is an example of where it makes most sense to do that, because it's strictly more helpful to say, I don't know, instead of giving a wrong answer to factual knowledge question. And one of our goals is to shift the incentive that evils create for models and the labs creating them to get higher scores. And almost every evil across all of AI up until this point, it's been graded by simple percentage correct as the main metric, the main thing that gets hyped. And so you should take a shot at everything. There's no incentive to say, I don't know. So we did that for this one here.swyx [00:29:22]: I think there's a general field of calibration as well, like the confidence in your answer versus the rightness of the answer. Yeah, we completely agree. Yeah. Yeah.George [00:29:31]: On that. And one reason that we didn't do that is because. Or put that into this index is that we think that the, the way to do that is not to ask the models how confident they are.swyx [00:29:43]: I don't know. Maybe it might be though. You put it like a JSON field, say, say confidence and maybe it spits out something. Yeah. You know, we have done a few evils podcasts over the, over the years. And when we did one with Clementine of hugging face, who maintains the open source leaderboard, and this was one of her top requests, which is some kind of hallucination slash lack of confidence calibration thing. And so, Hey, this is one of them.Micah [00:30:05]: And I mean, like anything that we do, it's not a perfect metric or the whole story of everything that you think about as hallucination. But yeah, it's pretty useful and has some interesting results. Like one of the things that we saw in the hallucination rate is that anthropics Claude models at the, the, the very left-hand side here with the lowest hallucination rates out of the models that we've evaluated amnesty is on. That is an interesting fact. I think it probably correlates with a lot of the previously, not really measured vibes stuff that people like about some of the Claude models. Is the dataset public or what's is it, is there a held out set? There's a hell of a set for this one. So we, we have published a public test set, but we we've only published 10% of it. The reason is that for this one here specifically, it would be very, very easy to like have data contamination because it is just factual knowledge questions. We would. We'll update it at a time to also prevent that, but with yeah, kept most of it held out so that we can keep it reliable for a long time. It leads us to a bunch of really cool things, including breakdown quite granularly by topic. And so we've got some of that disclosed on the website publicly right now, and there's lots more coming in terms of our ability to break out very specific topics. Yeah.swyx [00:31:23]: I would be interested. Let's, let's dwell a little bit on this hallucination one. I noticed that Haiku hallucinates less than Sonnet hallucinates less than Opus. And yeah. Would that be the other way around in a normal capability environments? I don't know. What's, what do you make of that?George [00:31:37]: One interesting aspect is that we've found that there's not really a, not a strong correlation between intelligence and hallucination, right? That's to say that the smarter the models are in a general sense, isn't correlated with their ability to, when they don't know something, say that they don't know. It's interesting that Gemini three pro preview was a big leap over here. Gemini 2.5. Flash and, and, and 2.5 pro, but, and if I add pro quickly here.swyx [00:32:07]: I bet pro's really good. Uh, actually no, I meant, I meant, uh, the GPT pros.George [00:32:12]: Oh yeah.swyx [00:32:13]: Cause GPT pros are rumored. We don't know for a fact that it's like eight runs and then with the LM judge on top. Yeah.George [00:32:20]: So we saw a big jump in, this is accuracy. So this is just percent that they get, uh, correct and Gemini three pro knew a lot more than the other models. And so big jump in accuracy. But relatively no change between the Google Gemini models, between releases. And the hallucination rate. Exactly. And so it's likely due to just kind of different post-training recipe, between the, the Claude models. Yeah.Micah [00:32:45]: Um, there's, there's driven this. Yeah. You can, uh, you can partially blame us and how we define intelligence having until now not defined hallucination as a negative in the way that we think about intelligence.swyx [00:32:56]: And so that's what we're changing. Uh, I know many smart people who are confidently incorrect.George [00:33:02]: Uh, look, look at that. That, that, that is very humans. Very true. And there's times and a place for that. I think our view is that hallucination rate makes sense in this context where it's around knowledge, but in many cases, people want the models to hallucinate, to have a go. Often that's the case in coding or when you're trying to generate newer ideas. One eval that we added to artificial analysis is, is, is critical point and it's really hard, uh, physics problems. Okay.swyx [00:33:32]: And is it sort of like a human eval type or something different or like a frontier math type?George [00:33:37]: It's not dissimilar to frontier frontier math. So these are kind of research questions that kind of academics in the physics physics world would be able to answer, but models really struggled to answer. So the top score here is not 9%.swyx [00:33:51]: And when the people that, that created this like Minway and, and, and actually off via who was kind of behind sweep and what organization is this? Oh, is this, it's Princeton.George [00:34:01]: Kind of range of academics from, from, uh, different academic institutions, really smart people. They talked about how they turn the models up in terms of the temperature as high temperature as they can, where they're trying to explore kind of new ideas in physics as a, as a thought partner, just because they, they want the models to hallucinate. Um, yeah, sometimes it's something new. Yeah, exactly.swyx [00:34:21]: Um, so not right in every situation, but, um, I think it makes sense, you know, to test hallucination in scenarios where it makes sense. Also, the obvious question is, uh, this is one of. Many that there is there, every lab has a system card that shows some kind of hallucination number, and you've chosen to not, uh, endorse that and you've made your own. And I think that's a, that's a choice. Um, totally in some sense, the rest of artificial analysis is public benchmarks that other people can independently rerun. You provide it as a service here. You have to fight the, well, who are we to, to like do this? And your, your answer is that we have a lot of customers and, you know, but like, I guess, how do you converge the individual?Micah [00:35:08]: I mean, I think, I think for hallucinations specifically, there are a bunch of different things that you might care about reasonably, and that you'd measure quite differently, like we've called this a amnesty and solutionation rate, not trying to declare the, like, it's humanity's last hallucination. You could, uh, you could have some interesting naming conventions and all this stuff. Um, the biggest picture answer to that. It's something that I actually wanted to mention. Just as George was explaining, critical point as well is, so as we go forward, we are building evals internally. We're partnering with academia and partnering with AI companies to build great evals. We have pretty strong views on, in various ways for different parts of the AI stack, where there are things that are not being measured well, or things that developers care about that should be measured more and better. And we intend to be doing that. We're not obsessed necessarily with that. Everything we do, we have to do entirely within our own team. Critical point. As a cool example of where we were a launch partner for it, working with academia, we've got some partnerships coming up with a couple of leading companies. Those ones, obviously we have to be careful with on some of the independent stuff, but with the right disclosure, like we're completely comfortable with that. A lot of the labs have released great data sets in the past that we've used to great success independently. And so it's between all of those techniques, we're going to be releasing more stuff in the future. Cool.swyx [00:36:26]: Let's cover the last couple. And then we'll, I want to talk about your trends analysis stuff, you know? Totally.Micah [00:36:31]: So that actually, I have one like little factoid on omniscience. If you go back up to accuracy on omniscience, an interesting thing about this accuracy metric is that it tracks more closely than anything else that we measure. The total parameter count of models makes a lot of sense intuitively, right? Because this is a knowledge eval. This is the pure knowledge metric. We're not looking at the index and the hallucination rate stuff that we think is much more about how the models are trained. This is just what facts did they recall? And yeah, it tracks parameter count extremely closely. Okay.swyx [00:37:05]: What's the rumored size of GPT-3 Pro? And to be clear, not confirmed for any official source, just rumors. But rumors do fly around. Rumors. I get, I hear all sorts of numbers. I don't know what to trust.Micah [00:37:17]: So if you, if you draw the line on omniscience accuracy versus total parameters, we've got all the open ways models, you can squint and see that likely the leading frontier models right now are quite a lot bigger than the ones that we're seeing right now. And the one trillion parameters that the open weights models cap out at, and the ones that we're looking at here, there's an interesting extra data point that Elon Musk revealed recently about XAI that for three trillion parameters for GROK 3 and 4, 6 trillion for GROK 5, but that's not out yet. Take those together, have a look. You might reasonably form a view that there's a pretty good chance that Gemini 3 Pro is bigger than that, that it could be in the 5 to 10 trillion parameters. To be clear, I have absolutely no idea, but just based on this chart, like that's where you would, you would land if you have a look at it. Yeah.swyx [00:38:07]: And to some extent, I actually kind of discourage people from guessing too much because what does it really matter? Like as long as they can serve it as a sustainable cost, that's about it. Like, yeah, totally.George [00:38:17]: They've also got different incentives in play compared to like open weights models who are thinking to supporting others in self-deployment for the labs who are doing inference at scale. It's I think less about total parameters in many cases. When thinking about inference costs and more around number of active parameters. And so there's a bit of an incentive towards larger sparser models. Agreed.Micah [00:38:38]: Understood. Yeah. Great. I mean, obviously if you're a developer or company using these things, not exactly as you say, it doesn't matter. You should be looking at all the different ways that we measure intelligence. You should be looking at cost to run index number and the different ways of thinking about token efficiency and cost efficiency based on the list prices, because that's all it matters.swyx [00:38:56]: It's not as good for the content creator rumor mill where I can say. Oh, GPT-4 is this small circle. Look at GPT-5 is this big circle. And then there used to be a thing for a while. Yeah.Micah [00:39:07]: But that is like on its own, actually a very interesting one, right? That is it just purely that chances are the last couple of years haven't seen a dramatic scaling up in the total size of these models. And so there's a lot of room to go up properly in total size of the models, especially with the upcoming hardware generations. Yes.swyx [00:39:29]: So, you know. Taking off my shitposting face for a minute. Yes. Yes. At the same time, I do feel like, you know, especially coming back from Europe, people do feel like Ilya is probably right that the paradigm is doesn't have many more orders of magnitude to scale out more. And therefore we need to start exploring at least a different path. GDPVal, I think it's like only like a month or so old. I was also very positive when it first came out. I actually talked to Tejo, who was the lead researcher on that. Oh, cool. And you have your own version.George [00:39:59]: It's a fantastic. It's a fantastic data set. Yeah.swyx [00:40:01]: And maybe it will recap for people who are still out of it. It's like 44 tasks based on some kind of GDP cutoff that's like meant to represent broad white collar work that is not just coding. Yeah.Micah [00:40:12]: Each of the tasks have a whole bunch of detailed instructions, some input files for a lot of them. It's within the 44 is divided into like two hundred and twenty two to five, maybe subtasks that are the level of that we run through the agenda. And yeah, they're really interesting. I will say that it doesn't. It doesn't necessarily capture like all the stuff that people do at work. No avail is perfect is always going to be more things to look at, largely because in order to make the tasks well enough to find that you can run them, they need to only have a handful of input files and very specific instructions for that task. And so I think the easiest way to think about them are that they're like quite hard take home exam tasks that you might do in an interview process.swyx [00:40:56]: Yeah, for listeners, it is not no longer like a long prompt. It is like, well, here's a zip file with like a spreadsheet or a PowerPoint deck or a PDF and go nuts and answer this question.George [00:41:06]: OpenAI released a great data set and they released a good paper which looks at performance across the different web chat bots on the data set. It's a great paper, encourage people to read it. What we've done is taken that data set and turned it into an eval that can be run on any model. So we created a reference agentic harness that can run. Run the models on the data set, and then we developed evaluator approach to compare outputs. That's kind of AI enabled, so it uses Gemini 3 Pro Preview to compare results, which we tested pretty comprehensively to ensure that it's aligned to human preferences. One data point there is that even as an evaluator, Gemini 3 Pro, interestingly, doesn't do actually that well. So that's kind of a good example of what we've done in GDPVal AA.swyx [00:42:01]: Yeah, the thing that you have to watch out for with LLM judge is self-preference that models usually prefer their own output, and in this case, it was not. Totally.Micah [00:42:08]: I think the way that we're thinking about the places where it makes sense to use an LLM as judge approach now, like quite different to some of the early LLM as judge stuff a couple of years ago, because some of that and MTV was a great project that was a good example of some of this a while ago was about judging conversations and like a lot of style type stuff. Here, we've got the task that the grader and grading model is doing is quite different to the task of taking the test. When you're taking the test, you've got all of the agentic tools you're working with, the code interpreter and web search, the file system to go through many, many turns to try to create the documents. Then on the other side, when we're grading it, we're running it through a pipeline to extract visual and text versions of the files and be able to provide that to Gemini, and we're providing the criteria for the task and getting it to pick which one more effectively meets the criteria of the task. Yeah. So we've got the task out of two potential outcomes. It turns out that we proved that it's just very, very good at getting that right, matched with human preference a lot of the time, because I think it's got the raw intelligence, but it's combined with the correct representation of the outputs, the fact that the outputs were created with an agentic task that is quite different to the way the grading model works, and we're comparing it against criteria, not just kind of zero shot trying to ask the model to pick which one is better.swyx [00:43:26]: Got it. Why is this an ELO? And not a percentage, like GDP-VAL?George [00:43:31]: So the outputs look like documents, and there's video outputs or audio outputs from some of the tasks. It has to make a video? Yeah, for some of the tasks. Some of the tasks.swyx [00:43:43]: What task is that?George [00:43:45]: I mean, it's in the data set. Like be a YouTuber? It's a marketing video.Micah [00:43:49]: Oh, wow. What? Like model has to go find clips on the internet and try to put it together. The models are not that good at doing that one, for now, to be clear. It's pretty hard to do that with a code editor. I mean, the computer stuff doesn't work quite well enough and so on and so on, but yeah.George [00:44:02]: And so there's no kind of ground truth, necessarily, to compare against, to work out percentage correct. It's hard to come up with correct or incorrect there. And so it's on a relative basis. And so we use an ELO approach to compare outputs from each of the models between the task.swyx [00:44:23]: You know what you should do? You should pay a contractor, a human, to do the same task. And then give it an ELO and then so you have, you have human there. It's just, I think what's helpful about GDPVal, the OpenAI one, is that 50% is meant to be normal human and maybe Domain Expert is higher than that, but 50% was the bar for like, well, if you've crossed 50, you are superhuman. Yeah.Micah [00:44:47]: So we like, haven't grounded this score in that exactly. I agree that it can be helpful, but we wanted to generalize this to a very large number. It's one of the reasons that presenting it as ELO is quite helpful and allows us to add models and it'll stay relevant for quite a long time. I also think it, it can be tricky looking at these exact tasks compared to the human performance, because the way that you would go about it as a human is quite different to how the models would go about it. Yeah.swyx [00:45:15]: I also liked that you included Lama 4 Maverick in there. Is that like just one last, like...Micah [00:45:20]: Well, no, no, no, no, no, no, it is the, it is the best model released by Meta. And... So it makes it into the homepage default set, still for now.George [00:45:31]: Other inclusion that's quite interesting is we also ran it across the latest versions of the web chatbots. And so we have...swyx [00:45:39]: Oh, that's right.George [00:45:40]: Oh, sorry.swyx [00:45:41]: I, yeah, I completely missed that. Okay.George [00:45:43]: No, not at all. So that, which has a checkered pattern. So that is their harness, not yours, is what you're saying. Exactly. And what's really interesting is that if you compare, for instance, Claude 4.5 Opus using the Claude web chatbot, it performs worse than the model in our agentic harness. And so in every case, the model performs better in our agentic harness than its web chatbot counterpart, the harness that they created.swyx [00:46:13]: Oh, my backwards explanation for that would be that, well, it's meant for consumer use cases and here you're pushing it for something.Micah [00:46:19]: The constraints are different and the amount of freedom that you can give the model is different. Also, you like have a cost goal. We let the models work as long as they want, basically. Yeah. Do you copy paste manually into the chatbot? Yeah. Yeah. That's, that was how we got the chatbot reference. We're not going to be keeping those updated at like quite the same scale as hundreds of models.swyx [00:46:38]: Well, so I don't know, talk to a browser base. They'll, they'll automate it for you. You know, like I have thought about like, well, we should turn these chatbot versions into an API because they are legitimately different agents in themselves. Yes. Right. Yeah.Micah [00:46:53]: And that's grown a huge amount of the last year, right? Like the tools. The tools that are available have actually diverged in my opinion, a fair bit across the major chatbot apps and the amount of data sources that you can connect them to have gone up a lot, meaning that your experience and the way you're using the model is more different than ever.swyx [00:47:10]: What tools and what data connections come to mind when you say what's interesting, what's notable work that people have done?Micah [00:47:15]: Oh, okay. So my favorite example on this is that until very recently, I would argue that it was basically impossible to get an LLM to draft an email for me in any useful way. Because most times that you're sending an email, you're not just writing something for the sake of writing it. Chances are context required is a whole bunch of historical emails. Maybe it's notes that you've made, maybe it's meeting notes, maybe it's, um, pulling something from your, um, any of like wherever you at work store stuff. So for me, like Google drive, one drive, um, in our super base databases, if we need to do some analysis or some data or something, preferably model can be plugged into all of those things and can go do some useful work based on it. The things that like I find most impressive currently that I am somewhat surprised work really well in late 2025, uh, that I can have models use super base MCP to query read only, of course, run a whole bunch of SQL queries to do pretty significant data analysis. And. And make charts and stuff and can read my Gmail and my notion. And okay. You actually use that. That's good. That's, that's, that's good. Is that a cloud thing? To various degrees of order, but chat GPD and Claude right now, I would say that this stuff like barely works in fairness right now. Like.George [00:48:33]: Because people are actually going to try this after they hear it. If you get an email from Micah, odds are it wasn't written by a chatbot.Micah [00:48:38]: So, yeah, I think it is true that I have never actually sent anyone an email drafted by a chatbot. Yet.swyx [00:48:46]: Um, and so you can, you can feel it right. And yeah, this time, this time next year, we'll come back and see where it's going. Totally. Um, super base shout out another famous Kiwi. Uh, I don't know if you've, you've any conversations with him about anything in particular on AI building and AI infra.George [00:49:03]: We have had, uh, Twitter DMS, um, with, with him because we're quite big, uh, super base users and power users. And we probably do some things more manually than we should in. In, in super base support line because you're, you're a little bit being super friendly. One extra, um, point regarding, um, GDP Val AA is that on the basis of the overperformance of the models compared to the chatbots turns out, we realized that, oh, like our reference harness that we built actually white works quite well on like gen generalist agentic tasks. This proves it in a sense. And so the agent harness is very. Minimalist. I think it follows some of the ideas that are in Claude code and we, all that we give it is context management capabilities, a web search, web browsing, uh, tool, uh, code execution, uh, environment. Anything else?Micah [00:50:02]: I mean, we can equip it with more tools, but like by default, yeah, that's it. We, we, we give it for GDP, a tool to, uh, view an image specifically, um, because the models, you know, can just use a terminal to pull stuff in text form into context. But to pull visual stuff into context, we had to give them a custom tool, but yeah, exactly. Um, you, you can explain an expert. No.George [00:50:21]: So it's, it, we turned out that we created a good generalist agentic harness. And so we, um, released that on, on GitHub yesterday. It's called stirrup. So if people want to check it out and, and it's a great, um, you know, base for, you know, generalist, uh, building a generalist agent for more specific tasks.Micah [00:50:39]: I'd say the best way to use it is get clone and then have your favorite coding. Agent make changes to it, to do whatever you want, because it's not that many lines of code and the coding agents can work with it. Super well.swyx [00:50:51]: Well, that's nice for the community to explore and share and hack on it. I think maybe in, in, in other similar environments, the terminal bench guys have done, uh, sort of the Harbor. Uh, and so it's, it's a, it's a bundle of, well, we need our minimal harness, which for them is terminus and we also need the RL environments or Docker deployment thing to, to run independently. So I don't know if you've looked at it. I don't know if you've looked at the harbor at all, is that, is that like a, a standard that people want to adopt?George [00:51:19]: Yeah, we've looked at it from a evals perspective and we love terminal bench and, and host benchmarks of, of, of terminal mention on artificial analysis. Um, we've looked at it from a, from a coding agent perspective, but could see it being a great, um, basis for any kind of agents. I think where we're getting to is that these models have gotten smart enough. They've gotten better, better tools that they can perform better when just given a minimalist. Set of tools and, and let them run, let the model control the, the agentic workflow rather than using another framework that's a bit more built out that tries to dictate the, dictate the flow. Awesome.swyx [00:51:56]: Let's cover the openness index and then let's go into the report stuff. Uh, so that's the, that's the last of the proprietary art numbers, I guess. I don't know how you sort of classify all these. Yeah.Micah [00:52:07]: Or call it, call it, let's call it the last of like the, the three new things that we're talking about from like the last few weeks. Um, cause I mean, there's a, we do a mix of stuff that. Where we're using open source, where we open source and what we do and, um, proprietary stuff that we don't always open source, like long context reasoning data set last year, we did open source. Um, and then all of the work on performance benchmarks across the site, some of them, we looking to open source, but some of them, like we're constantly iterating on and so on and so on and so on. So there's a huge mix, I would say, just of like stuff that is open source and not across the side. So that's a LCR for people. Yeah, yeah, yeah, yeah.swyx [00:52:41]: Uh, but let's, let's, let's talk about open.Micah [00:52:42]: Let's talk about openness index. This. Here is call it like a new way to think about how open models are. We, for a long time, have tracked where the models are open weights and what the licenses on them are. And that's like pretty useful. That tells you what you're allowed to do with the weights of a model, but there is this whole other dimension to how open models are. That is pretty important that we haven't tracked until now. And that's how much is disclosed about how it was made. So transparency about data, pre-training data and post-training data. And whether you're allowed to use that data and transparency about methodology and training code. So basically, those are the components. We bring them together to score an openness index for models so that you can in one place get this full picture of how open models are.swyx [00:53:32]: I feel like I've seen a couple other people try to do this, but they're not maintained. I do think this does matter. I don't know what the numbers mean apart from is there a max number? Is this out of 20?George [00:53:44]: It's out of 18 currently, and so we've got an openness index page, but essentially these are points, you get points for being more open across these different categories and the maximum you can achieve is 18. So AI2 with their extremely open OMO3 32B think model is the leader in a sense.swyx [00:54:04]: It's hooking face.George [00:54:05]: Oh, with their smaller model. It's coming soon. I think we need to run, we need to get the intelligence benchmarks right to get it on the site.swyx [00:54:12]: You can't have it open in the next. We can not include hooking face. We love hooking face. We'll have that, we'll have that up very soon. I mean, you know, the refined web and all that stuff. It's, it's amazing. Or is it called fine web? Fine web. Fine web.Micah [00:54:23]: Yeah, yeah, no, totally. Yep. One of the reasons this is cool, right, is that if you're trying to understand the holistic picture of the models and what you can do with all the stuff the company's contributing, this gives you that picture. And so we are going to keep it up to date alongside all the models that we do intelligence index on, on the site. And it's just an extra view to understand.swyx [00:54:43]: Can you scroll down to this? The, the, the, the trade-offs chart. Yeah, yeah. That one. Yeah. This, this really matters, right? Obviously, because you can b

An edit of Wizard People, Dear Reader by Brad Neely with the care of broadcast network TV on rated R movies being played on daytime weekends in the 90s.For the V3.0.1 with an excellent soundtrack, see⁠Https://jadedharmacabal.bandcamp.com/album/harrison-potterson-the-shiny-rock-ver-301⁠On YouTube here:⁠ https://www.youtube.com/watch?v=8MXkFcxLqtM

An edit of Wizard People, Dear Reader by Brad Neely with the care of broadcast network TV on rated R movies being played on daytime weekends in the 90s.For the V3.0.1 with an excellent soundtrack, see⁠Https://jadedharmacabal.bandcamp.com/album/harrison-potterson-the-shiny-rock-ver-301⁠Or on YouTube here: https://www.youtube.com/watch?v=h1t5CvLdk_g

This week on the Normal Nerds Podcast, Maxwell and Davis deliver a loaded Weekly Anime Recap.They kick things off with My Hero Academia Season 8, Episode 9, talking Deku's questionable haircut, Bakugo refusing to rest, and the Todoroki family's heavy, emotional wrap-up—plus why Endeavor's redemption hits harder than the fandom gives him credit for.Next, the boys rave about Spy x Family Season 3, Episode 9 with Double Starlight Anya, Damien sprinting to her rescue, Becky's chaos, Melinda's unhinged emotional whiplash, and Anya's ego skyrocketing into villain-cape territory.Then they tear into One Punch Man Season 3, Episode 8—a rare episode with decent animation that STILL can't save the season. Flashy Flash's fight pops off, Kid Emperor is actually interesting, but the stiff faces and still frames keep dragging the whole show down.From there, it's pure hype with Tojima Wants to Be a Kamen Rider Episode 9. Tojima lands the punch heard 'round the world, Rider Man goes feral, V3 gives respect where it's due, and the show continues to be one of the season's biggest surprises.They follow it up with the comfy, consistently fun May I Ask You One Last Thing? Episode 10, featuring Scarlet punching monsters into paste, Julius shutting down betrayals instantly, dragon-guy simps going wild, and a war brewing in the background.Then they officially consider dropping SANDA Episode 9, after another episode that leans way too hard into the bizarre. With the series' tone spiraling and its creative lineage showing, they debate if it's even worth continuing.After the main block, they jump into two big highlights of the week:Gachiakuta Episode 21 delivers insane action as Bundus takes on multiple Cleaners at once, Rudo evolves his 3R into a railgun-level weapon, Zodyl reveals his real plan, and Noerde's terrifying return sets up massive consequences.One Piece Episode 1151 goes OFF: Gear 5 Luffy returns, Bonney awakens a Nika-style form of her own, and the Iron Giant finally steps in—setting the stage for one of Egghead's most explosive episodes yet.If you're into big analysis, big fights, and big laughs, this is one of the most packed recaps the guys have ever done.Support the show

YouTube tests a new custom feed just like Instagram and TikTok, Shorts AI Creation Tools get updates, and I experiment with speeding up Lauren to see if that helps. Also the Head of Instagram stops by to explain that reposting your own content to Feed really won't do much, and the team at TikTok shares some stats around using Creators to make content for brands. After the music, I do Wednesday Waffle talking about a book I read recently. Links:YouTube: Testing "Your Custom Feed" (Google Support: YouTube)YouTube: New Communities Features, Expansion of Shorts AI Creation Tools, and Handles Update! (YouTube)Instagram: Does Reposting Your Content To Feed Help? (Instagram)TikTok: The Creator Advantage: How creators drive real brand impact on TikTok (TikTok)TikTok: TikTok One - Creative Academy Videos (TikTok) Wednesday Waffle:Book: Wrong Place, Wrong Time - Gillian McAllister (Amazon) Transcript: Daniel Hill: Welcome to the Instagram stories for Wednesday, November 26th. I'm your host, Daniel Hill. There is a lot of social media news to talk about today. The YouTube team has expanded their shorts AI creation tools. The head of Instagram explains whether or not it's worth it to repost your own posts and if that'll help you get more engagement. The team at TikTok shares some data explaining why it's so important to work with creators if you're a business and how that can drive brand impact. for your business. We'll get into that along with some video guides that the TikTok team has made to help you make better content. And after all the social media news, I will do a Wednesday waffle where I talk about a topic that may or may not be related to social media. All of that and more on today's episode. But first, here's a quick word from our sponsors. Welcome back. Let's start with the YouTube news. Before we dive in, a little bit of context. I've been talking on the show recently about how Instagram is going to allow you to customize what you see in your for you feed based on what you are personally interested in and you can pick which topics you're interested in, which ones you're not. Tik Tok has had that for a long time. There are sliders that you can move to indicate which kinds of content you want to see more or less of. And they recently added the ability to adjust what level of AI content you see in your feed. Now, YouTube is copying that and they shared yesterday that they are testing something called your custom feed. They say, quote, "We're experimenting presenting with a new feature called your custom feed that lets you customize recommendations for your home feed. If you are part of the experiment, you will see your custom feed appear on your homepage as a chip beside home. When you click into it, you can update your existing home feed recommendations by entering a single prompt. This feature is designed to give you an easy to use way to have more control over your suggested content. If you see it, check it out and share your feedback". I will link to this post in the show notes so that you can see it for yourself. All right, moving on. Since we're already talking about YouTube news, let's move to Lauren from the YouTube Creator Insider team with her updates talking about how the Shorts AI creation tools are being expanded and an update to the way YouTube handles channel names versus handles. Here's the clip from Lauren. Uh, one quick thing before I play the clip. I was reading the feedback that I got about the show and some of you mentioned that Lauren's updates can drag on a little bit and I agree. So, I'm going to experiment with speeding up Lauren just a little bit. Hopefully, it's enough that it goes faster and you don't feel like Lauren's dragging, but you can still catch what she's saying.Lauren: What's up, insiders? I'm Lauren, a program manager working on our product team here at YouTube and the producer of Creator Insider. Up until now, channel names were used as the identifier for channels across live chat and channel memberships on main and YouTube studio. Now, a creator's handle will be shown across these services as their identifier. For moderators of live chat, you can still navigate to a user's channel by tapping on their handle. Let us know if you have any questions. In June, we talked about new AI powered shorts creation tools. If you missed the update, we'll leave more information in the description. We're happy to share that we're expanding standalone clips, green screen backgrounds, AI playground, and phototovideo to new markets around the world for creators with their YouTube language settings set to English. We're also leveling up the photo to video experience with new prompt capabilities. Now you can create a prompt from scratch, watch your memories come to life, and even add speech to give your video a voice. We're also introducing new Genai effects that transform your sketches into captivating videos powered by VO. These effects are now available globally. Additionally, speech to song and the ability to add lyrics and vocals in Dream Track are now available to creators in the US. These features will be rolling out this month and we'll keep you posted as we add new features. We're also bringing the power of Google DeepMind's V3 model to shorts, available for everyone on mobile. This upgrade from V2 lets you create videos up to 8 seconds long, previously six, now with synchronized sound effects, ambient audio, and speech. We'll leave more info below. Next, updates for communities. If you're still on the fence about enabling communities, an internal experiment in early September 2025 found that channels with YouTube communities enabled saw on average an increase in post impressions and likes on their channel.Daniel Hill: Okay, I'm going to stop it there because the rest of the update is about communities and I don't think it's very interesting. But if you do want to check out the whole post, I will link to it in the show notes so you can watch it for yourself. Hopefully the increased speed with which Lauren explained those things still let you understand what was going on and hopefully kept her a little bit more brief than usual. Okay, now let's move on to the Instagram section, the head of Instagram answered the question about whether or not reposting your content in your own feed does anything. So, you have the opportunity to share content that you've made from your feed to your story, for instance, but now you can also repost it to your feed. If you posted a piece of content and it didn't really do that well, it might be tempting to repost it to your feed so that your followers have another chance to see it. The head of Instagram explains it's not really worth it to do that. Here's the clip.Adam Mosseri: Since we launched reposts a couple months ago. I get the question a lot. Should I repost my own content? And you can. It might help a little bit on the margins, but it's not going to meaningfully change the amount of reach that you get. If you want to try and help your post go a little bit farther, I'd recommend instead going into the comments, responding to some people, liking some comments, and interacting with the people who've taken the time to actually like or comment on your post. This will help more than just reposting something that you've already posted. But I understand why people try. And this not going to hurt you to do so, but it's not going to actually help. So, I wanted to answer that question definitively once and for all. Hopefully, this helps later.Daniel Hill: So, there you have it. Not really worth a lot of time and energy. We're going to take a quick break. When we come back, some information from the Tik Tok team about how creators can help to drive impact for brands and additionally some videos from the Tik Tok team helping you to make better content. Stick around. Welcome back. Let's continue with the Tik Tok news. The team at Tik Tok made a long blog post sharing some data about how much creators making content and having brands push that content can impact the business that the brand does as opposed to the brand just making content on their own or hiring a marketing company. The importance of this cannot be understated because the content comes across as more authentic. They share some stats explaining that creator ads meaning an ad that is based on a piece of content that a creator made that creator ad can drive a 70% higher click-through rate and 159% higher engagement rate than noncreator ads. Okay, so why such a big difference? Three main reasons. First, when creators are making content, they're doing it through the lens of Tik Tok culture. They're familiar with the platform, not from the perspective of trying to sell a product or service, but rather just being familiar with the community. Additionally, creators can make a lot of good content very quickly. We are all used to sitting down to come up with an idea of something that we think could potentially work, coming up with what we need in order to make that piece of content, whether it's a script, finding a location, then filming it, editing it, and publishing it, and doing that for ourselves. So, when brands are working with creators, they're tapping into this system that we are all doing all the time. Anyway, another key thing to remember is that when brands partner with creators, the Those creators have a wide variety of different voices, skill sets, things they bring to the table, all of which appeal to different people. So, it does make sense to partner with a wide variety of creators. The third reason that this is so effective is because people already follow these creators. They liked them enough to follow them. When a creator makes a piece of content about a brand or product or service and posts it to their account, it comes across more authentically because it is not coming from the advertiser's account. According to a study from the TikTok team, ads posted to a creator's account have a 59% higher engagement rate and a 16% higher 6second viewthrough rate than those that are not posted directly to the creator's account. So, it's worth it to do this. There's more stats and strategy in this blog post, which I will link to, but I also uncovered something called TikTok 1, which is a creative academy to help you make better content on TikTok. I will play a short snippet of one of the videos that I found on there so you can get an idea of what this is all about.Unknown Speaker (from TikTok 1 Clip): This video is about TikTok creative best practices. Good creative is imperative for successful ad campaign. There are some essential guidelines you must follow in order to set yourself up for that success. These include video duration, design elements, safe zone, and video formats. Today we're talking creative codes. Six secrets to help you decode TikTok's creative potential. And what better place to start then code number one Tik Tok first. So when we say TikTok first, what do we mean? Going TikTok first means creating natural feeling TikTok content that's authentic to the platform. Feeling authentic to the for you page is as simple as taking cues from the content you love. How can you make content that feels organic to the for you page? Here are some quick tips that will help you look right at home on TikTok. Start simple. From filming at a professional shoot to filming on your phone, you can execute your ideas in the way that works for you. Go 9x6. This is a platform where vertical video thrives. Frame your content accordingly. Shoot high-res. Whether you use high-end software or smartphone technology, create video content that is clear and crisp.Daniel Hill: Okay, I'm going to stop the clip there. You get the idea. If you want to watch the rest of this video series, which I actually think is very good, I will link to it in the show notes. Be sure to check it out for yourself. That is it for today's news. If you would like to hear me do Wednesday waffle, which is where I talk about another topic that may or may not be related to social media. Stick around after the music.Music: Instagram news got you covered. Sometimes even TikTok relevant platforms in the metaverse. Ahead of the wave without a break or a pit stops waiting for Zuckerberg to give me the big job. Use trademarks and logos with instance permission. Of course, if you like the show and you gain some good info, maybe leave a review. It's a type of applause. Just drop me a message if you want to collab. If you got some good content or you want to run ads at @DanielHillMedia is where I am. TikTok, Facebook, at Instagram. All right, thank you for sticking around to hear me talk about something else. And now I would like to recommend a book. I don't think I did this previously on the show. I would like to recommend a book called Wrong Place, Wrong Time by Gillian McAllister. I would categorize this book as a thriller/time travel book. I don't like to normally recommend books because everyone likes different things in books. However, this book is excellent. I spend a lot of time reading books. I like to read a few minutes every night before I go to sleep, and this one really had me hooked. I was having trouble forcing myself actually to go to sleep. The ending ties together perfectly. I will link to this book in the show notes. Definitely check it out. Wrong place, Wrong Time by Gillian McAllister. If you like time travel, if you like science fiction, if you like thrillers, if you like any books that are a bit mysterious or suspenseful, I think you will like this. Find the link to the book in the show notes. And thank you for listening to me talk about something else other than social media for a minute.Sign Up for The Weekly Email Roundup: NewsletterLeave a Review: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Me on Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@danielhillmedia⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Hosted by Simplecast, an AdsWizz company. 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Drew and Rory start with eyeball horror, Stranger Things hype, and the idea of AI-powered contact lenses before stumbling straight into the real mind-melt: Midjourney, Grok Imagine, Mystic 3, and Flux all colliding in one episode. They roast their own prompts, trigger an accidental NSF-DoubleU moment live inside Grok, argue about “flux face,” and still somehow manage to pull out real, practical tips for people trying to make better AI images without losing their minds.Across an hour of chaos, they unpack Midjourney v8's subtle shifts, hidden personalization signals, Style Explorer tricks, Smart Search shortcuts, Grok's Sora-style infinite feed, Mystic 3's scary-good skin detail, and why Midjourney still owns lo-fi, lived-in, “shot-on-a-phone” energy. If you care about composition, cinematic ratios, editorial portraits, food realism, or just want to hear two people dunk on Flux and node editors while actually teaching you something, this one hits.Listeners will come away knowing how to use stills archive for composition, when to skip upscales for more analog realism, how Grok Imagine's image + video workflow really behaves, and where Mystic 3 can replace Midjourney in a serious portrait or product stack.--⏱️ Midjourney Fast Hour0:00 Intro, eyeballs, and a Friday brain check2:05 Contact lens horror stories, Mission Impossible, Black Mirror eyes3:07 Stranger Things Season 5 hype and binge vs weekly TV4:51 Movies, biopics, sports docs, and couch season setting in6:23 Cowboys documentary, sports pipelines, and TV as passive story feed7:00 AI overload, nobody keeping up, and why this pod exists8:30 Midjourney profiles, Style Creator, and new personalization talk9:29 Like/dislike buttons as hidden training data and 7:3 aspect ratio love10:35 Stills Archive, cinematic framing, and cleaner compositions12:00 Style Explorer vs old-school SREF and what quietly vanished13:16 Three under-the-radar Midjourney Smart Search + right-click + Option-upscale tweaks15:35 V8, fewer wall-of-text prompts, and a move toward visual controls18:12 First look at Grok Imagine's interface and infinite scroll feel19:35 Sora-style endless bottom feed, variants, and “make video” in Grok22:51 Cinematic looks, color grading, and Grok as “idea and curate” engine24:19 Live NSFW surprise inside Grok Imagine and instant rating change25:23 Finding Grok history, stills, and video exports with sound26:31 Who actually gets Grok video and Drew's first real reaction to using it27:38 Mystic 3 enters the chat and upscaling less for analog vibes29:02 Why “too sharp” screams AI and how grain + smart detail saves realism30:18 Outpainting, editing, and why Midjourney still wins surgical compositing35:01 Mystic 3 V3 screen-share and first impressions35:45 Editorial portraits, skin detail, eyelashes, and hands that finally look human37:26 Mystic 3 model comparisons: Zen, State-of-the-Art, and weird description blur39:16 Zooming all the way into pores, fingerprints, and micro skin texture43:44 Cocktail and food prompts where Mystic falls behind Midjourney50:05 Nano Banana 2 rumors, native 4K wishes, and how Midjourney might respond50:58 Why Midjourney still rules lo-fi, disposable camera, and Polaroid-style shots52:16 Grok Imagine vs Flux vs Midjourney for lived-in Y2K flash photos53:39 Flux face, direct flash tests, and “go flux yourself” is born55:30 Nodes, Grok workflows, and why scrolling is faster than wiring graphs56:01 Why Midjourney is avoiding node-based interfaces on purpose57:05 Final sendoff: go flux yourself and get out of here

In this episode of LAB the Podcast, poet and V3 artist Wendy Kieffer joins us for a conversation inspired by “The Patience of Ordinary Things” by Pat Schneider. From cups that hold tea to floors that receive our feet, Wendy and Zach reflect on the quiet love hidden in the simplest moments — and how seeing with fresh eyes can awaken gratitude, imagination, and joy.Take a pause from the hurry, pour a warm cup of tea, and join us as we reflect on patience, presence, and the extraordinary grace of ordinary thingsThank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast. Support / Sponsor: https://vuvivo.com/supportFor More Videos, Subscribe: @VUVIVOV3 | https://www.youtube.com/@VUVIVOV3Follow: @labthepodcast | @vuvivo_v3 | @zachjelliott | @wendy.kiefferLike:  https://www.facebook.com/vuvivo.v3Order Alchemy of Praise: https://www.amazon.com/dp/1944470220?ref=cm_sw_r_cp_ud_dp_3NCER8Y41NXPRQ5QE469&ref_=cm_sw_r_cp_ud_dp_3NCER8Y41NXPRQ5QE469&social_share=cm_sw_r_cp_ud_dp_3NCER8Y41NXPRQ5QE469&skipTwisterOG=2Support the show

【SoftBank ウインターカップ2025　観戦チケットキャンペーン中】https://ciy.digital.asahi.com/ciy/11017934 （12/14締め切り） 【番組内容】Wリーグは、外国籍選手の枠が拡大しました。これまでは「通算5年以上日本に在留」が条件でしたが、今シーズンから撤廃になりました。また、「FIBAバスケットボールワールドカップ2027アジア地区予選 window1」の男子日本代表の候補メンバーについても語ります。 ※2025年11月5日に収録しました。バスケ通信―クラッチタイム（バスクラ）の過去回はこちら（ https://bit.ly/49fLo67 ）。 プレイリスト（ https://buff.ly/4iNnkOj ） 【2カ月間無料キャンペーン】全記事が読み放題！デジタル版30周年を記念し、11/25まで実施中★後日、有料会員限定の報談スペシャルバージョンを配信します！https://digital.asahi.com/pr/cp/2025/aut/?ref=cp2025aut_podcast_gaiyoran 【関連記事】富士通、V3へ白星発進　バスケ・女子Ｗリーグ開幕https://www.asahi.com/articles/DA3S16326605.html?iref=omny （有料会員の方はログインしていただくと、過去の紙面記事検索として閲覧できます)千葉Jの19歳、瀬川琉久が狙うエースの座「勇樹さんから先発奪う」https://www.asahi.com/articles/ASTB235ZYTB2UTQP025M.html?iref=omny 10季目迎えたBリーグ、地方でも熱気　隣県対決の平日チケット完売https://www.asahi.com/articles/ASTBQ0RRBTBQTIPE009M.html?iref=omny 　 【出演・スタッフ】松本龍三郎（スポーツ部） https://x.com/asahi_bballinfo ／ https://buff.ly/lpil4Q8　松本麻美（メディア事業本部・スポーツ事業部） https://x.com/Asa_asa_sports MC・音源編集　堀江麻友　https://bit.ly/4kepWoO 【おねがい】朝日新聞ポッドキャストは、みなさまからの購読料で配信しています。番組継続のため、会員登録をお願いします！ http://t.asahi.com/womz 【朝ポキ情報】アプリで記者と対話 http://t.asahi.com/won1 交流はdiscord https://bit.ly/asapoki_discord おたよりフォーム https://bit.ly/asapoki_otayori 朝ポキTV https://www.youtube.com/@asapoki_official メルマガ https://bit.ly/asapoki_newsletter 広告ご検討の企業様は http://t.asahi.com/asapokiguide 番組検索ツール https://bit.ly/asapoki_cast 最新情報はX https://bit.ly/asapoki_twitter See omnystudio.com/listener for privacy information.

Balancer V2 suffers a $110m exploit. The EF ESP team reopens grant applications. StarkWare launches the S-two prover on Starknet. And ZKP2P releases V3 of its onramp protocol. Read more: https://ethdaily.io/815 Disclaimer: Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.

In this special episode of LAB the Podcast, we sit down with Zach's favorite guest—and favorite person—Cammie Elliott, Director of Ministry for VU VI VO.Cammie is the heartbeat behind so much of V3's work—from LAB the Podcast to the Immersive Experiences, Sehnsucht Symphony and all special projects. Together, Zach and Cammie explore what it means to trust God in every season, from cross-country moves and moments of loss to the daily rhythms of faith, prayer, and building a home that reflects the life and beauty of the Gospel.They share about learning to hear and obey, cultivating beauty in the ordinary, and discovering God's character through His names. If you've ever struggled to trust God with what you can't see—this conversation will inspire you to rest in who He is.Thank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast. Support / SponsorLearn more about V3For More Videos, Subscribe: @VUVIVOV3 | YouTubeFollow: @labthepodcast | @vuvivo_v3 | @zachjelliott Support the show

Liza Thurmond joins LAB the Podcast to talk about the sacred work of teaching, seeing beauty through faith, and how one trip to Chicago's Art Institute reshaped her classroom and church. A powerful conversation about V3's ON BEAUTY Immersive Experience at the Art Institute of Chicago and how it gave her fresh eyes. Thank you for joining the conversation and embodying the life and beauty of the gospel. Don't forget to like, subscribe, and follow LAB the Podcast. Register for On Beauty: REGISTERSupport / SponsorFor More Videos, Subscribe: @VUVIVOV3 | YouTubeFollow: @labthepodcast | @vuvivo_v3 | @zachjelliott Support the show

Sometimes even Gundam Crossbone has good ideas. And they may not be good ideas leading up to them, or even following them. But for one shining moment, you get a cartridge-powered pile bunker leg driving a massive beam saber down, and everything is ok. ...Ok, that's unfair to the F89, that thing's fine. But boy. Anchor V2, V3, V4... it definitely goes downhill. Lighting can strike twice. But it usually doesn't. dont fact check dont fact check dont fact check You can find a video version of this podcast for free on Scanline Media's Patreon! If you want to find us on Bluesky, Dylan is lowpolyrobot.bsky.social and Six is six.scanlinemedia.com. Our opening theme is the Hangar Theme from Gundam Breaker 3, and our ending theme for this episode is Resumption from Gundam Breaker 4. Our podcast art is a fantastic piece of work from Twitter artist @fenfelt. Want to see a list of every unit we've covered from every episode, including variants and tangents? It's right here. Units discussed: F89 Gundam F89 Cristonian Ferley Danganloid MegaZord Gamma Kajimerian Ben G Doggie Kruger (Dekaranger) Doggie Kruger (SPD) F89 Gundam F89 (Final Equipment Type) F89 Gundam F89 (Chaser Equipment Type) F89 Gundam F89 (Commander Specifications) Anchor Anchor V2 Anchor V3 Anchor V4

In this episode, Jason and Hans dive into their review of the AGM Rattler V3 50-640 LRF. The V3 is the first compact Rattler model equipped with a built in LRF. And not only does it have 1,000  meter LRF, it's built into the lens so it is tucked away and adds no bulk or weight to the scope! The V3 also includes a ballistic calculator, a 640×512, sub-15 mK thermal sensor and huge 2560×2560 OLED display.  Tune in to find out if this scope is worth the price tag for serious night hunters and learn how it compares in value to other similar scopes.