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The Tim Conway Jr Show Hour with Andy Riesmeyer Hour 1 (7.23) It’s day 4 of Andy Riesmeyer is filling in for Tim Conway Jr. tonight, and it’s day 3 of the D4vd murder hearing. The singer is accused of killing underage girl Celeste Rivas while allegedly having a sexual relationship with her. KTLA’s Rachel Menitoff calls in live from the courthouse with the latest from today’s testimony. Andy’s been up since 5 a.m. for his KTLA entertainment segment — he loves the makeup chair but still has to style his own pompadour. We check in on bald eagle Jackie, currently recovering after a gang of eagles jumped her, while her mate Shadow has been spotted with a young female that may have been part of the attack. Earlier on TV, Andy interviewed “Young Guns” star Lou Diamond Phillips ahead of the 40th anniversary of “La Bamba,” plus a chat with teenage Utah band Driff Wood. See omnystudio.com/listener for privacy information.
Tim Conway Jr. (07.22) HR 2 The eagle that captured the hearts of many in Southern California is still in critical condition after a brutal fight with two other eagles. This beloved bird, Jackie, has been a source of fascination for many, and her story has been closely followed by the public. But what's behind the scenes, and what's happening to help her recover? This episode of the Conway Show delves into the world of wildlife and firefighting, as the host talks to a former fire captain about the latest developments in fire season and the importance of aircraft in fighting fires. The conversation touches on the complexities of fire season, the role of aircraft in firefighting, and the challenges faced by firefighters. The host also shares a personal anecdote about seeing a bald eagle in real life, highlighting the majesty and size of these birds. Meanwhile, the show's whip-around segment sparks a lively discussion about the size of bald eagles, with the host and his guests sharing their estimates. The episode also explores the world of late-night comedy, as the host pays tribute to the late Peter LoSalle, a legendary producer who worked with Johnny Carson, David Letterman, and Craig Ferguson. The host shares a touching story about LoSalle's remarkable life and legacy. If you're interested in learning more about the fascinating stories and topics discussed in this episode, tune in to the full show to hear the host's conversation with the former fire captain, the whip-around segment, and the tribute to Peter LoSalle.See omnystudio.com/listener for privacy information.
For the last decade, a 24-7 livestream of an eagle's nest in Big Bear has captivated people around the world, and made its occupants Jackie and Shadow internet celebrities. Eagle advocates worry that plans to develop the lakeshore and forest near the nest will harm Jackie and Shadow. Reporter: Madison Aument, KVCR In the year since large-scale ICE raids began in Los Angeles County, the fallout for families and people's livelihoods has been profound. Now, a new study by UCLA finds that 95% of local Latino small business owners are struggling financially. Reporter: Megan Jamerson, KCRW In Los Angeles County, a new soil cleanup program is launching this year for residents impacted by the Eaton Fire. Reporter: Cato Hernandez, LAist Learn more about your ad choices. Visit megaphone.fm/adchoices
Missourians will cast ballots on four proposed constitutional amendments in August, including Amendments Four and Five. State Rep. John Martin (R-Columbia) joined hosts Randy Tobler and Stephanie Bell live on 939 the Eagle's "Wake Up Missouri" to discuss the measures. Rep. Martin agrees with Governor Kehoe's call to phase out Missouri's state income tax. Martin says the best way to help working families is through wage growth:
(0:00-19:19) NBC Sports Philadelphia's Marc Jackson appears on the show to discuss the Sixers' prospects for the upcoming season.(19:34-32:38) The conversation then shifts to the Eagles, focusing on who the most crucial player will be heading into the 2026-27 season.(32:53-42:18) Who is the key Eagle aside from Jalen Hurts?Please note: Timecodes may shift by a few minutes due to inserted ads. Because of copyright restrictions, portions—or entire segments—may not be included in the podcast.For the latest updates, visit the show page Kincade & Salciunas on 975thefanatic.com. Follow 97.5 The Fanatic on Twitter, Facebook, and Instagram. Watch our shows on YouTube, and subscribe to stay up-to-date with all the best moments from Philly's home for sports!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Missourians will cast ballots on four proposed constitutional amendments in August, including Amendments Four and Five. State Rep. John Martin (R-Columbia) joined hosts Randy Tobler and Stephanie Bell live on 939 the Eagle's "Wake Up Missouri" to discuss the measures. Rep. Martin agrees with Governor Kehoe's call to phase out Missouri's state income tax. Martin says the best way to help working families is through wage growth:
Columbia businessman Nic Parks is known across town and in Boone County for numerous businesses he owns, including Level Up at Columbia Mall, Lakeside Ashland, the popular Slab City card store at Columbia Mall and Shiloh Bar and Grill downtown. Mr. Parks purchased Shiloh in 2021. He joined host Fred Parry in-studio for the hour Saturday morning on 939 the Eagle's "CEO Roundtable" and discussed his businesses and his decision to close the business incubator in downtown Columbia. Fred Parry describes Nic Parks as a "serial entrepreneur." Mr. Parks grew up in Florissant, which is a St. Louis suburb. He came to Columbia to attend school in 1997 and has been here ever since. He and Fred also discussed Lakeside Ashland and the drive-in theatre there:
Missouri's governor has signed legislation from State Sen. Jamie Burger (R-Benton) into law that allows speed limits to be raised to 75 mph on some rural highways. State Rep. David Tyson Smith (D-Columbia) is not opposed to the idea but is concerned with the timing. He tells 939 the Eagle's "Wake Up Missouri" that Missouri currently has more than 1,000 construction zones on highways and roads and says this should have waited another year or two. Representative Tyson Smith joined "Wake Up" hosts Randy Tobler and Stephanie Bell:
A reading of articles and features from the Am-Pol Eagle
It's Friday, July 17th, A.D. 2026. This is The Worldview in 5 Minutes heard on 140 radio stations and at www.TheWorldview.com. I'm Adam McManus. (Adam@TheWorldview.com) By Adam McManus Scottish man arrested for hate speech about pro-life politician's murder A 50-year-old man, pretending to be a woman, who works at the University of Aberdeen in Scotland, publicly celebrated the murder of former British Member of Parliament Ann Widdecombe, reports LifeSiteNews.com. Herbert, an Aberdeen web developer, who prefers to be called “Heather,” wrote, “Some good news for once. I hope it was an extremely painful death” and “I hope she was handcuffed to the bed as she screamed in agony.” Widdecombe, a pro-life advocate, served in the Parliament from 1987 to 2010. She endeared herself to Britons with her surprisingly popular appearances on the television shows Strictly Come Dancing and Celebrity Big Brother. Herbert has now been charged for his bizarre hate speech as the investigation into her murder continues. Some have raised speculation that the arrest might be due less to Herbert's hate speech and more to do with what, if any, inside knowledge he might have about her murder. Widdecombe is the second murder of a high-profile pro-life politician in England this decade. Sir David Amess, who was a Member of Parliament for 38 years and Widdecombe's friend, was murdered at a local event in 2021 by Islamist Ali Harbi Ali. Arizona Senator admits to two extra-marital affairs U.S. Democratic Senator Ruben Gallego of Arizona, a married man and a potential 2028 presidential candidate, engaged in sexual relationships with at least two House staffers, reports the New York Post. The 46-year-old lawmaker admitted to the two extramarital affairs. In Exodus 20:14, God gave Moses the seventh of the Ten Commandments: “You shall not commit adultery.” Man, who spewed racial epithet, charged black NBC Today co-host Andrew Truelove allegedly stormed NBC's "Today" show at 9:00am Eastern on July 16th, lunged at anchor Craig Melvin, a black man, and called him the N-word, reports NBC News. He is now facing a slew of hate crime charges. Truelove, who is white and was unarmed, had entered a stairwell and made his way backstage near the dressing room. The staff and security rushed in -- and the intruder was ultimately detained and arrested. The incident was not captured during the broadcast. Nobody was hurt. Roughly 15 minutes afterwards, both Craig Melvin and Al Roker were on air. Neither hinted at the drama. AG nominee open to roll back Biden's mail-order Abortion Kill Pill During his confirmation hearing before the U.S. Senate Judiciary Committee on July 15th, acting Attorney General Todd Blanche faced a range of questions from Republicans regarding the Abortion Kill Pill mifepristone, reports The Washington Stand. Republican Senator Josh Hawley of Missouri asked about the Trump administration's perspective. HAWLEY: “Joe Biden took away President Trump's safety restrictions on this chemical abortion drug. He instituted a mail order abortion policy. So, my state went to court to try to defend our state's laws. A number of other states, Republican states, did this. And of course, in the meantime, the president changed, thank goodness. And now we have President Trump. “But that means that that now we have the state of Missouri, a Republican state, along with a number of other conservative Republican states, are in court against a Republican administration, fighting over Joe Biden's abortion policy.” BLANCHE: “I share your concerns, as does this entire administration. We have the most pro-life president in history, and you are one of the most pro-life senators in this body. “We are not defending what Biden did, and will not. The FDA has a process that takes a year. They've committed to do it in significantly less time than a year. President Trump's administration, in its entirety, will protect the life of the unborn.” HAWLEY: “Presumably, you have no issue with President Trump's earlier rule, which had common sense safety restrictions. You had to see a doctor, get a prescription. There had to be a follow-up visit to see if there was any hemorrhaging. Those were in place before Biden gutted them. “Presumably, there's no issue with any of those.” BLANCHE: “I anticipate the Department [of Justice] would defend those rules.” HAWLEY: “Why not, while the FDA is doing its review, why not put President Trump's rules in place? They're good rules. Why not do that rather than leave in place these rules?” BLANCHE: “We want to get to a good result, consistent with President Trump's administrative directive and priorities. And we very much believe that the Biden rules were wrong.” Psalm 127:3 says, “Children are a gift from the Lord; they are a reward from Him.” Senator Cruz: Comstock Act should prohibit Abortion Pill by mail And Republican Senator Ted Cruz of Texas also addressed the Abortion Kill Pill with Attorney General nominee Todd Blanche. CRUZ: “The Comstock Act provides that every article or thing designed or adapted or intended for producing abortion is declared to be non-mailable. I have to admit that statutory text to me looks quite straightforward. It is not subtle. It is not difficult. It is straightforward. “As you know, during the Biden administration, the Office of Legal Counsel issued an opinion concluding that those provisions generally do not prohibit mailing abortion drugs unless the sender intends them to be used unlawfully. Is that right?” BLANCHE: “Yes, that's correct.” CRUZ: “Now, [the] Office of Legal Counsel's opinions may be reconsidered when the Attorney General concludes they are inconsistent with the law. Is that right?” BLANCHE: “That is right.” CRUZ: “Will you commit to carefully reviewing that opinion to ensure that it faithfully reflects the actual statutory text that Congress enacted?” BLANCHE: “Yes.” CRUZ: “Will you commit that the Department [of Justice] will carefully evaluate every lawful action available to ensure the faithful enforcement of the Comstock Act and other federal pro-life acts?” BLANCHE: “Yes.” CRUZ: “I want to point out the real consequences of the Biden administration's lawless authorization of mail-order abortions. According to FDA reporting, the abortion pill has taken more than 3.7 million unborn lives, caused 24 maternal deaths -- moms are being killed -- and resulted in at least 4,195 adverse maternal reactions, including hemorrhage, excruciating abdominal pain, and severe, life-threatening infections. “The position of the Democrats now seems to be that women and teenage girls should be able to get mail-order abortions without a doctor being involved at all. And I will tell you, the death toll from that is horrific, and it needs to stop.” Once Blanche is voted out of the Judiciary Committee, he will need 51 votes of the 100 senators to be confirmed as President Trump's next U.S. Attorney General. Focus on the Family president Jim Daly to step down Nearly two decades after taking the helm of Focus on the Family following the departure of its founder, Jim Daly is preparing to hand the ministry to a new generation, reports The Christian Post. The president of one of America's most influential Evangelical groups announced this week that Focus has officially launched a nationwide search for its next leader, marking the beginning of what is expected to be an 18-month succession process ahead of the ministry's 50th anniversary in 2027. Unlike many recent leadership transitions in prominent Christian groups, this one is not being driven by scandal or internal upheaval. Rather, Focus on the Family is intentionally choosing to transition while it's healthy. Jim Daly said, "My core belief was it's good to get new faces, new energy, younger leadership in to speak to the 30-, 40-somethings about what they're facing with marriage and parenting. I'm going to be turning 65. It's time to start looking for the next-gen leadership. That's really the goal, and to do it well is the other goal." The search, being conducted with executive search firm FaithSearch Partners, will culminate in a vote by Focus' board of directors. Founded in 1977 by Christian psychologist and author Dr. James Dobson, Focus on the Family grew from a fledgling radio ministry into one of the most recognizable voices in American evangelicalism. Through its daily radio broadcasts, magazines, books, counseling services, and public policy advocacy, the Colorado Springs-based nonprofit became a defining force in conversations about marriage, parenting, religious liberty, and the sanctity of life. Today, the ministry reaches millions through radio, podcasts and digital media, employing roughly 750 people and overseeing an annual budget of $150 million. Worldview listeners weigh in from Texas and Alaska Liz Walker in Lubbock, Texas, wrote me and said, “I learned about your newscast from a Homeschool Mom blog. I love listening to it every weekday morning. I definitely get news that I would not get otherwise, including updates of the persecuted church and calls to action. As a homeschool mom, I often want to do things, but feel like I am powerless.” And Thomas Williams in Wasilla, Alaska, wrote, “I just wanted to drop you a little note and say how much we value what you and your team are doing at The Worldview. My wife and I are raising eight kids -- six boys and two girls. We homeschool and use many items from Generations in our daily life. I pray that God continues to bless the work that you have begun.” 8 Worldview listeners gave $3,220 And finally, on Thursday night by 9:30pm Central, 8 Worldview listeners stepped up to the plate and invested their treasure to fund the six-member team behind The Worldview for another year. Our thanks to Karen in Hillsborough, North Carolina who gave $20 and Cathy in Fate, Texas who gave $50. We were touched by the generosity of Denise in Gibsonia, Pennsylvania who gave $200, Lin in Katy, Texas who gave $300, and Audrey in Otisville, New York who pledged $25/month for 12 months for a gift of $300. And we're grateful to God for Kristin and Josh in Ball Ground, Georgia who pledged $50/month for 12 months for a gift of $600, Jeremy and Meggan in Register, Georgia who gave $750, and Heather in Eagle, Idaho who gave $1,000. Those 8 gifts add up to $3,220. Ready for our new grand total? Drum roll please. (drum roll sound effect) $29,840 (sound effect of people cheering) That means we need to raise a whopping $26,725 to hit our $56,565 goal by tonight, Friday, July 17th, at 12 midnight! We need to find 8 Worldview listeners who will pledge $100/month for 12 months or give a one-time gift of $1,200, 14 folks who will pledge $50/month or give a one-time gift of $600, and 28 listeners who will pledge $25/month or give a one-time gift of $300. Please, go to TheWorldview.com, click on Give, select the dollar amount, and make sure to click on the “recurring” button if that's your wish. Remember, if you want to continue your monthly pledge to The Worldview that you started in a previous year, please let me know so we can count your generous ongoing gift toward our total With God, all things are possible. Ask Him what He would have you give toward funding this critical newscast for another year. Close And that's The Worldview on this Friday, July 17th, in the year of our Lord 2026. Subscribe for free by Spotify, Amazon Music, or by iTunes or email to our unique Christian newscast at www.TheWorldview.com. Plus, you can get the Generations app through Google Play or The App Store. I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.
Built in the Pit: Chris Duffin on Resilience, Accountability, and the Discipline to Rise What does resilience look like when the motivational speech ends and the difficult work remains? On this episode of The CJ Moneyway Show, CJ sits down with world-record strength athlete, bestselling author, entrepreneur, and resilience mentor Chris Duffin, widely known as the Mad Scientist of Strength. Chris's understanding of adversity was formed long before he entered a gym or built globally recognized companies. He grew up homeless in the wilderness, experienced extreme poverty and violence, cared for younger siblings, and learned survival responsibilities at an age when most children are still being protected from danger. Rather than allowing those circumstances to define the limits of his future, Chris developed an extraordinary belief in his ability to adapt, solve problems, and rebuild. In this conversation, CJ and Chris explore: Why resilience is a capacity that can be trained The difference between fear as a warning and fear as a prison Chris's Six Ps cycle of human development How purpose outlasts temporary motivation Why accountability restores personal power Parenting, failure, and the importance of allowing struggle Rebuilding after betrayal and business loss What strength training teaches about leadership The sacrifices behind elite performance Purposeful reinvention through The Eagle and the Dragon Chris's ACL framework: Acknowledge, Celebrate, and Leverage Chris reminds listeners that the pit is not the whole story. It is a season—and often the place where the strength needed for the next chapter is developed. Connect with Chris Duffin Website https://chrisduffin.com Book The Eagle and the Dragon YouTube @MadScientistDuffin Instagram @MadScientistDuffin LinkedIn @ChrisDuffin Connect with CJ Moneyway CJ Moneyway Media https://cjmoneyway.com ️ The CJ Moneyway Show https://pod.link/1707761906 Book CJ to Speak https://cjmoneyway-mmcwhn8g.manus.space YouTube https://www.youtube.com/@themoneywayshow8493 Instagram https://instagram.com/c.j_moneyway LinkedIn https://www.linkedin.com/in/corwin-johnson-3b7b51aa Rate The Podcast https://ratethispodcast.com/cjmoneyway CJ Moneyway Listener Benefit CJ Moneyway listeners can access $40+ savings here: https://readyrx.com/treatments/se?coupon=cjmoney ⸻ SEO Tags Chris Duffin, CJ Moneyway, The CJ Moneyway Show, Mad Scientist of Strength, resilience, discipline, accountability, adversity, personal growth, mental strength, emotional resilience, leadership, strength training, entrepreneurship, generational trauma, fear, purpose, values, reinvention, The Eagle and the Dragon, Enhanced Executive, world record strength athlete, motivation, mindset, Build It Brick by Brick, Built For Purpose Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Missouri's governor has signed legislation into law that allows speed limits to be raised to 75 mph on some rural highways. State Rep. David Tyson Smith (D-Columbia) is not opposed to the idea but is concerned with the timing. He tells 939 the Eagle's "Wake Up Missouri" that Missouri currently has more than 1,000 construction zones on highways and roads and says this should have waited another year or two:
July 17, 206 ~ Keith Baldwin, co-owner of The Regal Eagle, joins the show to discuss the World Cup Finals this Sunday between Argentina and Spain, and what else is going on at the Eagle. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
77 members of Columbia-based Missouri Task Force One (MO-TF1) just returned from a deployment to historic flooding in southeast Missouri. Boone County Fire Protection District chief Doug Westhoff, assistant chief Chuck Doss and MO-TF1 program manager Jake Heller joined hosts Randy Tobler and Stephanie Bell live this morning on 939 the Eagle's "Wake Up Missouri." They had to end the interview early because they just learned they are being deployed to flooded Texas:
Classic 1999 International Eagle from the Tackerberry Collection-Featured Truck of the Week Step back in time with this beautiful 1999 International Eagle from the renowned Tackaberry Collection. Known for its classic styling, powerful presence, and place in trucking history, the International Eagle remains a favourite among truck enthusiasts and professional drivers alike. In this clip, we take a closer look at this well-preserved example and explore what makes it such a standout piece of trucking heritage. Whether you're an International fan, a trucking history buff, or simply appreciate classic iron, this truck is sure to bring back memories of a great era in trucking. What's your favourite International truck model? Let us know in the comments! Subscribe for more classic trucks, trucking history, show trucks, and transportation nostalgia. #InternationalEagle #ClassicTrucks #TruckingHistory #TruckShow Get The Best Truck Parts for Your Truck at Chrome Supply Warehouse Chrome Supply Warehouse has the best selection of chrome and truck parts in Ontario Canada. Located in Belleville Ontario on the North side of the Highway with lots of truck parking makes it a great place to stop. Stop in for a break or to check on their cool interior, exterior, and custom parts. Learn more online at www.chromesupplywarehouse.com About the Podcast The Lead Pedal Podcast for Truck Drivers helps truck drivers improve their truck driving careers, trucking businesses as owner operators, CDL skills, find trucking jobs, and offer trucking career tips. Learn about the trucking benefits and salaries as a professional truck driver through interviews and tips related to the North American Trucking Industry. The Lead Pedal Podcast is a Canadian based trucking podcast focused on trucking in Ontario, Canada. LISTEN TO THE PODCAST- The show is available at www.theleadpedalpodcast.com , Apple Podcasts, Spotify, iHeartradio, and other popular podcast platforms. Thanks for listening! The Lead Pedal Podcast for Truck Drivers talks all things trucking for people in the transportation industry helping them improve their business and careers. Interviews with industry professionals and truck drivers, trucking equipment information, event coverage, and other features on the industry are meant to be helpful for truck drivers and those in transportation. The Lead Pedal Podcast for Truck Drivers has main episodes released every Monday, Wednesday, and Friday with bonus material on other days. You can learn more about the host and show on our website and make sure to SUBSCRIBE to the show on your favourite podcast platform. www.theleadpedalpodcast.com What does The Lead Pedal Podcast mean? The Lead (pronounced - Led) stands for acceleration or fast-track of your career or business. It is a play on words and we certainly are not here promoting speeding in the industry. We are hoping this information will help you become a professional driver faster than if you didn't know about many of these topics. Are you enjoying the show? If so we would appreciate you leaving us a rating and review on your favourite podcast platform. www.theleadpedalpodcast.com Join The Lead Pedal Fan Club where are loyal fans get first chance at specials, discounts on merchandise and much more.The club is free to join and you can learn more at www.theleadpedalfanclub.com LISTEN TO LEAD PEDAL RADIO with music and entertainment with a trucking theme at www.LeadPedalRadio.com
FBI Deputy Director Andrew Bailey says the 2026 World Cup has been an enormous success so far. Mr. Bailey, a former Missouri attorney general, joined hosts Stephanie Bell and Jennifer Bukowsky on 939 the Eagle's "Wake Up Missouri." Deputy Director Bailey notes there have been 11 host cities in the United States, three in Mexico and two in Canada. He also notes the World Cup has been happening at the same time as America 250 events, a UFC fight at the White House and Major League Baseball's All-Star game:
Welcome to The Eagle's View - Summer Edition!Just because school is out does not mean that the students of Emerson School in Ann Arbor, MI are taking a break. The Show Must Go On!Join Lucas and Wasay as they host this episode. Take a trip back in time for this historic episode of The Eagle's View. You will hear about The Boston Massacre, 19th-century Europe, World War I, Mallory's Last Climb, and as always, The Joke of the Week!Check out Zebonky right here!https://zebonky.com/Thank you for listening to The Eagles View. Be sure to like, follow, and share our podcast with your friends and family.And don't just listen—leave us a comment! We'd love to hear your thoughts, your favorite part, or even your own joke of the week.New episodes come out every Wednesday—even during summer break. Plus, The Eagle's View Presents will be returning for Season 4 every Monday this fall.New 8th graders - Same YappingBe sure to check out our new merchandise on The Emerson School Store website below.https://apparelnow.com/emerson-school-store-apparel/Follow on social media too!https://www.facebook.com/theemersonschool/https://www.instagram.com/emersonschool/Thanks for hanging out with us, and remember—Eagles always soar!
On today's newscast: More flights are coming to the Eagle and Grand Junction airports next year, the city of Aspen expects some economic growth next year despite the eight-month airport closure, workers at several national parks are voting to join labor unions for the first time, and more.
SIMPLER PODCAST WEBSITE - thefour56.org/simplersubscribe, follow & leave reviews plsHosts: Ryan Dalgliesh, Pierce Love and Micah Marianocheck out the Simpler podcast (@simplerpod) on the social platform of your choice if it's fb or instasee what's happening in our personal/disc golf/art lives @piercelove_ @micahmariano @rtdalglieshfineartSIMPLER BIBLE - https://www.simplerbible.com/RYAN'S ART - https://rtdalglieshfineart.comMICAH'S SITE - https://micahmariano.com/MICAH'S WOODWORKING - https://audaxwoodworks.com/EAGLE'S WINGS - https://facebook.com/eagleswingsdiscgolfTHE FOUR56 CHURCH - https://theFour56.org
The Legends of the Wild Turkey and the Imperial Eagle Guest: Stephen Moss Book Title: Ten Birds That Changed the World Stephen Moss discusses the wild turkey, a bird rediscovered by Europeans in the Americas that was vital to the survival of the pilgrims. Moss argues that the turkey's plumpness and taste led to its domestication from a single line in southern Mexico, where it was originally worshipped by Central American civilizations. Interestingly, its name stems from 16th-century confusion where exotic items were often attributed to Turkish merchants. Beyond the turkey, the conversation explores the symbolic power of the eagle. While the turkey is a "smart" bird favored by Benjamin Franklin, the eagle became a definitive symbol of predatory power for the Romans and later the Nazis, who famously altered its depiction to look toward Russia. Despite the eagle's associations with conquest, it remains a pervasive symbol of American authority on the Great Seal and currency. (1)1838 CORMORANTS
The "Summer of Habanos" begins with the My Father La Lealtad, a hefty 6x60 cigar delivering balanced notes of cedar, coffee, tobacco, and subtle sweetness. Tony and Fingers also review Costco's Patriot Eagle Bourbon, debate the greatest Southern foods, question the purpose of warm potato salad, and prepare themselves for Indiana State Fair creations involving honey buns, melted butter, and absolutely no restraint. Plus, Walmart cuts prices, Tinder heats up during the World Cup, Adam Sandler causes ridiculous social media outrage, and baby boomers are getting divorced in record numbers. Find everything at [EatDrinkSmokeShow.com](EatDrinkSmokeShow.com).
This interview is disseminated on behalf of Spartan Metals Corp.Spartan Metals (TSXV: W | OTCQB: SPRMF | FSE: J03) President and CEO Brett R. Marsh, M.Sc., MBA, CPG discusses the growing strategic importance of tungsten and the company's two U.S.-based projects, Eagle and Victorio. Learn more about Spartan Metals: https://spartanmetals.comWatch the full YouTube interview here: https://youtu.be/zTnPrWTuSNYAnd follow us to stay updated: https://www.youtube.com/@stockstowatchofficial
Episode overviewThis episode covers a wide-ranging national security discussion, starting with a tribute to Senator Lindsey Graham and moving through major geopolitical flashpoints in the Indo-Pacific, the Middle East, and modern drone warfare.Show linkSal Mergogliano's video on Sea of Azov attacksKey topicsTribute to Senator Lindsey Graham, his role in national security debates, and the political gap his passing leaves behind.China's claim over the Batanes Islands and the strategic importance of the Luzon Strait and Bashi Channel.Growing U.S.-Philippines-Japan alignment in response to Chinese maritime pressure.China's expanding coast guard presence and its pattern of diplomatic and territorial probing.Escalation in the Iran-United States-Israel conflict, including strikes on Iranian capabilities and the security of the Strait of Hormuz.A helicopter crash involving U.S. military personnel and the risks inherent in aviation and training operations.China's missile testing behavior, transparency issues, and the difference between announced U.S. launches and China's launches.The use of FPV/FP-style drones in the Black Sea and Sea of Azov as mission-kill weapons against ships and port infrastructure.The challenge of defending U.S. ports, fleets, and bases from drone attacks, especially in places like Norfolk and San Diego.The strategic vulnerability of logistics, shipyards, ports, infrastructure, and critical systems to non-nuclear attack.EMP risks, power grid fragility, and the cascading humanitarian effects of long-term electrical disruption.The U.S. Coast Guard cutter Eagle's victory in the tall ships race and the pride surrounding that milestone.Notable takeawaysDrones and precision strike weapons are changing the definition of rear areas and sanctuary.Ports, shipyards, and logistics hubs may become more important targets than front-line combat forces.Maritime security is increasingly tied to air defense, counter-drone capability, and distributed protection.National security threats are no longer confined to major wars; they can emerge through gray-zone pressure, sabotage, and infrastructure attack.Featured discussion pointsStrategic geography in the Western PacificChinese maritime assertivenessDrone warfare and mission killsPort and base defenseEMP and infrastructure resilienceNaval service and public recognitionTimestamps(00:47): Welcome and introduction to the show's topics(01:45): Importance of listening to live audience questions(02:54): Passing of Senator Lindsey Graham and his role in national security(06:15): Chinese territorial claims over Batanes Islands near Luzon(11:28): The expanding Chinese coast guard operations and South China Sea tensions(31:24): Analysis of Ukrainian drone attacks and missile strikes in the Sea of Azov(45:51): Challenges of port defense against drone and missile threats(55:38): EMP attack threats and infrastructure resilience(60:06): US Coast Guard Tall Ship race victory and maritime tradition(62:54): NATO summit discussions and European defense posture
The Alchemist and the Eagle continues with chapter 28, "Between Silence and Thunder." With his new wife, Nuya, taken captive by Rin Jao and removed to the heart of the Jolao Empire, Kalzhat, the leader of the resistance movement, seems broken by the loss, and the multicultural coalition of fighters is on the verge of disbanding. Will this be the end of the resistance ... ?
Today the guys get into Matt's wife finding an Eagle feather, Tara replaces Alex Jones, Chuy thinks he can take a Chimpanzee in a fightSupport the show: https://www.klbjfm.com/mattandbobfm/See omnystudio.com/listener for privacy information.
Did you miss the most recent episode of the Most Patriotic Characters on TV? If so, you missed some great moments including: Questionable exclamations from Matt, Brian's strange logic for Patriotism, the case for Sam the Eagle as the most patriotic character, a mockery of Jack Bauer, and what it means to be American in general.Make sure to listen to the full episode if you haven't yet!
After dusk, look about a third of the way up the eastern sky for a moderately bright star. It's flanked by two fainter stars above and below it. This is Altair, the brightest star in the constellation of Aquila the Eagle. Support this podcast: https://www.deltapublicmedia.org/donate/
(0:00-19:08) Tom Brady on AJ Brown & how it could help Jalen Hurts that Brown is no longer an Eagle(19:08-32:20) Where do the Eagles Super Bowl odds stand in July (32:20-55:46) ESPN's Tum Kurkjian joins the show in studio to discuss the latest on the Phillies and the upcoming trade deadlinePlease note: Timecodes may shift by a few minutes due to inserted ads. Because of copyright restrictions, portions—or entire segments—may not be included in the podcast.For the latest updates, visit the show page Kincade & Salciunas on 975thefanatic.com. Follow 97.5 The Fanatic on Twitter, Facebook, and Instagram. Watch our shows on YouTube, and subscribe to stay up-to-date with all the best moments from Philly's home for sports!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this definitely NSFW episode, we're traveling back to 17th century Italy with Benedetta! Join us as we learn about the trial of Benedetta Carlini, comets, convent theater, and more! Sources: https://daily.jstor.org/lesbianism-at-the-convent/ Judith C. Brown, Immodest Acts: The Life of a Lesbian Nun in Renaissance Italy (1986, Archive.org) Rudolph M. Bell, "Renaissance Sexuality and the Florentine Archives: An Exchange," Renaissance Quarterly 40, no.3 (1987): 485-511. https://www.jstor.org/stable/2862521 Image of the comet over Heidelberg: https://en.wikipedia.org/wiki/C/1618_W1#/media/File:Comet_1618_Heidelberg.jpg Nicholas Kollerstrom, "Galileo vs. 1618's Great Comet: Fly Like an Eagle," DIO 21, 2018 Elisa Neckar, "Sept. 6, 1618: The First Comet Seen Through a Telescope," Astronomy, available at https://www.astronomy.com/today-in-the-history-of-astronomy/sept-6-1618-the-first-comet-seen-through-a-telescope/ Wikipedia: https://en.wikipedia.org/wiki/Benedetta_(film) Rotten Tomatoes Reviews: https://www.rottentomatoes.com/m/benedetta Blank Check Podcast (Paul Verhoeven Series) Elissa B. Weaver, Convent Theatre in Early Modern Italy: Spiritual Fun and Learning for Women. Cambridge University Press, 2002.
Dr. Crane shares from Genesis 39 the story of Joseph refusing the advances of Potiphar's wife. The story shows how, sometimes, God will allow temptation but he will also give us the strength to overcome.
The Backwoods Cryptid Road Trip is pulling over for a week, because this time the thing in the wilderness didn't come out of the trees. It came down out of the sky. In August of 1976, four art students from Boston, twin brothers Jim and Jack Weiner, Navy veteran Charlie Foltz, and painter Chuck Rack, paddled into the Allagash Wilderness Waterway of northern Maine for two weeks of fishing in some of the deepest, darkest country east of the Mississippi.One night on Eagle Lake, they built a huge bonfire on the shore to guide themselves home, pushed their canoe out into the black, and watched an enormous silent sphere of swirling light rise over the treeline. When Foltz flashed an SOS at it, a beam dropped to the water and came straight for them, and the next thing any of the four remembered was standing on the beach in a strange dead calm while their two-hour bonfire lay burned down to coals behind them.Twelve years later, after a head injury, a seizure disorder, and a wave of nightmares that hit both Weiner twins in two separate households, the four men underwent fifteen hypnotic regression sessions with investigator Raymond Fowler's team, and what came off those tapes made them famous. Four separate accounts of a cold examination room, gray beings with glass-dark eyes, and procedures nobody wants to remember, all matching. They passed polygraphs, they passed psychiatric evaluations, and they carried the story through decades of ridicule, right up until 2016, when Chuck Rack picked up a phone in a Missouri motel room and tore the case in half.In this episode, I take you from the floatplane landing on Telos Lake all the way through the encounter, the missing time, the years of silence, the hypnosis sessions, the memory science that dismantled recovered testimony in American courtrooms, and the recantation that ended four friendships. Because when everything else about this case gets argued away, one thing is still standing. Something was over Eagle Lake that night, all four men swore to it until the day it mattered most, and fifty years later, nobody has ever explained it.The Road Trip will be back on the highway soon. Tonight, we go where the roads end.Have you experienced a Bigfoot sighting, Sasquatch encounter, Dogman experience, UFO sighting, or any unexplained cryptid or paranormal event deep in the woods? We want to hear your story.Email your encounter to brian@paranormalworldproductions.com for a chance to be featured on a future episode of Backwoods Bigfoot Stories.Backwoods Bigfoot Stories is a paranormal storytelling podcast featuring real Bigfoot encounters, Sasquatch sightings, Dogman reports, cryptid experiences, and true scary stories from the backwoods.Follow the show and turn on automatic downloads so you never miss a chilling encounter from the forest. Listen with the lights off… if you dare.
Let us know what you think!Security Halt's Med Group - https://zcform.com/QA5QsClick the link for a FREE consultation with My Med Team to see how we can help. What if your business could change lives beyond the products it sells?In Episode 448 of the Security Halt! Podcast, Deny Caballero sits down with Marine Corps veteran and entrepreneur Sean Abrusci, founder of Abrusci's Coffee, to discuss how purpose, service, and entrepreneurship can continue long after military service ends.Sean shares his journey from serving in the Marine Corps to building a coffee company with a mission far greater than selling coffee. By partnering with nonprofits and supporting organizations that serve veterans and communities around the world, he has built a business model centered on impact rather than profit alone. Together, Deny and Sean discuss military transition, finding purpose after service, Warrior Rising, nonprofit partnerships, and how veterans can build businesses that create meaningful change.Whether you're an aspiring entrepreneur or searching for your next mission after the military, this episode offers practical insights and inspiration. Listen now. Follow the show. Share this with the veteran or entrepreneur who needs to hear it. Chapters:00:00 Intro – Meet Sean Abruscis of Abruscis Coffee 01:00 Why Sean Joined the Marine Corps 03:15 Conquering Self-Doubt and Military Challenges 04:20 Boot Camp and Earning the Eagle, Globe & Anchor 06:00 Preparing for War During the Afghanistan Surge 08:15 Life in the Fleet and Learning from Combat Veterans 10:00 Leadership Lessons and Brotherhood in the Marines 13:10 Deployment to Sangin, Afghanistan 16:00 Camp Leatherneck and the Reality of Combat 19:30 IEDs, Complacency, and Staying Alive 23:50 Second Deployment and the Transition to a Peacetime Marine Corps 27:00 Leaving the Marines and Finding a New Mission 29:00 Losing Friends to Veteran Suicide 30:15 The Amazon Trip That Changed Everything 33:00 Discovering Purpose Beyond Military Service 35:30 How Coffee Became a Mission Instead of Just a Business 37:15 Building Community Through Coffee and Supporting Nonprofits 40:00 Why Relationships Beat Resumes in Business 41:20 How Warrior Rising Helped Build Abruscis Coffee 46:15 Warrior Rising's Veteran Entrepreneur Pitch Competition 49:30 Why Veteran Entrepreneurs Need Community 52:00 Advice for Veterans Starting a Business 53:30 Where to Find Abruscis Coffee 54:10 Final Thoughts on Purpose, Service, and Life After the Military Sponsored by: Transcend Use my referral link to book a consultation for Peptide Therapy http://transcendcompany.com/DenyCaballero Pure Liberty Labs Use Code: SECURITY_HALT_10 Instagram: https://www.instagram.com/purelibertylabs/ Website: https://purelibertylabs.com/ PRECISION WELLNESS GROUP Use code: Security Halt Podcast 25 Website: https://www.precisionwellnessgroup.com/ WARRIOR RISING Instagram: https://www.instagram.com/wearewarriorrising/?hl=en Website: https://warriorrising.org/ Donate Today: https://warriorrising.org/?form=donate SPECIAL FORCES FOUNDATION Instagram: https://www.instagram.com/specialforcesfoundation_/ Website: https://specialforcesfoundation.org/ Request Help: https://specialforcesfoundation.org/get-support/ Security Halt Mediahttps://www.securityhaltmedia.com/Instagram: @securityhaltX: @SecurityHaltTik Tok: @security.halt.podSupport the showProduced by Security Halt Media
A reading of articles and features from the Am-Pol Eagle
The image that Jesus shares with us in this beloved passage may seem detached from the challenges we face in our current situation and what's going on in our lives today. However, it would be a mistake for you and me to pass off these words as quaint advice for a quieter, sepia tone time in the past. Our Savior's invitation, here in Matthew, is to all who are weary and worn out. He's not referring simply to the demands of that time. This includes all of us whose strength is sapped by the demanding load that's resting on our shoulders today. Episode art by Anna from Eagle, WI, USA, CC BY 2.0
The show OPEN... scratchers... diarrhea... and more germs!
Missouri Governor Mike Kehoe (R) says he will not call a special legislative session on data centers. State Rep. Don Mayhew (R-Crocker) and at least 15 of his House colleagues want to see a special session. Governor Mike Kehoe was live Wednesday on 939 the Eagle's “Wake Up Missouri." Governor Kehoe says safeguards are already in place under Senate Bill 4, saying that law ensures that large energy users pay for what they are going to use. The governor also says decisions on data centers are local decisions made by local elected officials. Representative Mayhew was live this morning on "Wake Up Missouri" and says he's hearing a lot of voter interest about data centers as he goes door-to-door. Mayhew also has concerns about water:
We've been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we're excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when something broke. While this was painful for developers, it worked since they could fill in missing context in their heads.However, agents don't have that luxury. Now in this new era of agents, everything has to be tighter.They need a place to write code, run it, inspect the output, change the environment, debug failures, and try again. Fast iteration and feedback loops with all the necessary context are crucial for agents to operate properly. Furthermore, sandboxes are a clear representation of this shift as agents can easily spin up isolated environments. This programmatic infra even extends to research:Two years ago, we were one of the first to cover Modal with CEO Erik Bernhardsson and Alessio designed our favorite LS thumbnail of all time:At the time, Modal was just a teeny little company with a $17M Series A.Today, fresh off their $355M Series C, Modal is one of the clearest examples of the agent cloud future being built in real time: a cloud platform moving past traditional web app assumptions toward the workloads AI actually creates such as elastic inference, sandboxes, GPU burst, post-training, background agents, and infrastructure that agents themselves can operate.In this episode, Modal CTO Akshat Bubna joins swyx and Vibhu to unpack why AI applications don't fit traditional cloud assumptions, why Kubernetes was never designed for bursty compute-heavy workloads, and why Modal is now shifting from developer experience to agent experience.We go deep on Modal's AI infra stack: serverless functions, decorator-based infrastructure, elastic inference for custom models, GPU snapshotting, DeFlash, speculative decoding, Auto Endpoints, sandboxes, persistent storage, networked containers, private IPv6, RDMA, multi-node training, and Modal's capacity pool across 17 cloud providers. Akshat also explains why RL rollouts can require 100,000 sandboxes, why production agents need hard guardrails, why observability may matter more than reading code, and why AI has made infrastructure exciting again.We discuss:* Why Kubernetes wasn't built for bursty AI workloads* How Modal started as a better runtime before becoming an AI cloud* Why Modal added GPUs before ChatGPT* The shift from developer experience to agent experience* Why observability matters when agents are writing the code* Elastic inference for custom models across audio, video, robotics, and comp bio* GPU snapshotting, cold starts, and why inference workloads are so bursty* Why RL rollouts can require 100,000 sandboxes* DeFlash, speculative decoding, and frontier-level inference performance* Auto Endpoints and making optimized inference easier to deploy* What Modal adds beyond vLLM, SGLang, and raw GPU rental* Modal's 17-cloud capacity pool and supercloud strategy* Networked sandboxes, sidecars, private IPv6, and RDMA* Serverless multi-node training for post-training and research workloads* Auto-research, model-guided sweeps, and agents launching GPU experiments* Compute strategy, capacity planning, and batch tiers* Why production agents need specialized sandboxes and hard guardrails* Modal's take on managed agents, CI, Gitpod/Ona, Python, TypeScript, and Modal BenchAkshat Bubna* LinkedIn: https://www.linkedin.com/in/akshat-bubna-188885103* X: https://x.com/akshat_bModal* Website: https://modal.comTimestamps00:00:00 Introduction00:00:39 Modal's origin and why Kubernetes wasn't enough00:04:32 Developer Experience → Agent Experience00:06:21 Modal's AI cloud primitives00:09:14 Sandboxes, agent loops, and proto-Cognition00:12:12 Elastic inference, GPU snapshotting, and 100,000 sandboxes00:15:24 DeFlash, speculative decoding, and Auto Endpoints00:19:59 Production-grade inference beyond raw GPUs00:22:00 Background agents, Ramp Inspect, and the agent lifecycle00:24:08 Modal's 17-cloud supercloud strategy00:26:40 Networked sandboxes, private IPv6, and RDMA00:32:48 Multi-node training, post-training, and auto research00:37:36 Compute strategy, capacity planning, and batch tiers00:40:55 Open models, real-time AI, and production agent infra00:43:06 Hard guardrails, managed agents, and specialized sandboxes00:46:06 Why AI made infrastructure exciting again00:48:30 Model APIs, differentiated products, and agentic video00:51:50 CI, coding-agent infra, SDKs, and Modal Bench00:57:28 Closing ThoughtsTranscriptIntroduction: Modal, Series C, and the Art PartySwyx [00:00:00]: We're here with Akshat, CTO of Modal, together with Vibhu. Congrats on your Series C.Akshat [00:00:10]: Thank you.Swyx [00:00:11]: Your party yesterday was amazing.Akshat [00:00:15]: Yeah.Swyx [00:00:15]: From all the photos and all the swag.Akshat [00:00:17]: We had a bunch of art installations, which was fun, seeing, like, our products on pedestals next to, like, Rodin.Swyx [00:00:25]: Very nice. Very nice. When you started, it was not the GPU inference company. Maybe it was in your mind. Take us back to the origin story.Modal's Origin: A New Runtime Beyond KubernetesAkshat [00:00:39]: I first met Eric, who's the CEO, through an investor. Back then Eric was already thinking about building, a new runtime, and he got there thinking through why are workflow orchestration products so hard to use. It's because you have to run them on Kubernetes. Kubernetes is hard to manage. It's not built for burstiness and, custom images,Swyx [00:01:03]: YeahAkshat [00:01:03]: It has a terrible developer experience.Swyx [00:01:05]: And I'll, I'll interjectAkshat [00:01:06]: YeahSwyx [00:01:07]: For listeners, who are new, we interviewed Eric two years ago, and there's a bit more of the story there from Spotify and all those things.Swyx [00:01:14]: And I came across Eric through Data Council because he did that talk on the serverless container stack that you guys did, which was like, that was my first like, “Okay, I need to take Modal very seriously” moment.Akshat [00:01:26]: Yeah.Swyx [00:01:26]: But it was still very unclear, like, do I need all this for just my data pipelines?Akshat [00:01:33]: Yeah. initially what we were thinking about was if we build a better runtime, it's a very useful primitive in itself. It's There's a lot of things that, get solved by serverless functions, like you can do, ETL stuff, you can do job queues, you can do all this, like, bursty processing, which it turns out every company had needs for. but then we also were thinking about this as like, this is a primitive that we can build a whole collection of products on, which are very verticalized. So perhaps data engineering would've been the first one, but we were thinking about inference. Back then it was more classical inference, like computer vision stuff and running XGBoosts and whatnot. But we added GPUs to the product a year before ChatGPT came out.From Serverless Containers to GPU WorkloadsSwyx [00:02:19]: Nice.Akshat [00:02:19]: We just didn't think it would be that big of a deal.Swyx [00:02:22]: Yeah, just like add A100.Vibhu [00:02:23]: Was there any, like, early key problem that really sparked off why you built it?Akshat [00:02:28]: Yeah. Primarily it's just, none of the tooling that was out there was built for, one, a really great developer experience, and also there's a general trend of, a lot of the workloads that we were seeing were very. I wish there was a better word for it, but compute-heavy. Like, they need, one, like, need a lot more resources, so you need to burst up and down a lot, versus like Kubernetes designed for, like, slow scaling and, more for, like, web server use cases. And also there's just a lot more specialization in, like, what kinds of environments these workloads run in. Like, we had sometimes they need accelerators, sometimes they need different kinds of images, and this is just like a consistent thing that we saw across a lot of companies. That would be the next step.Software-Defined Infrastructure and Decorator-Based DXSwyx [00:03:13]: Yeah. Yeah. Be nice. I don't know how much this factored into the early story, but I wrote a post when I was at Temporal about infrastructure, software-defined infrastructure or something like that.Akshat [00:03:22]: Yeah, the self-provisioningSwyx [00:03:23]: Self-provisioning.Akshat [00:03:24]: Yeah.Swyx [00:03:24]: Yeah. I can't even remember my own post.Swyx [00:03:26]: And then you put me on the landing page.Akshat [00:03:28]: Yeah. We really like, the term and so we stole it.Swyx [00:03:32]: Because you had the insight that everything can just be in decorators co-located with the code, right?Akshat [00:03:37]: Yeah.Swyx [00:03:37]: Was that a big part of the originalAkshat [00:03:39]: YesSwyx [00:03:39]: Story or it was just like a DX layer?Akshat [00:03:41]: That was, really important because we really didn't want people to spend, so much time, writing YAML, and it seemed like you could really condense the surface area of what you're doing, put it in code so you can operate on it just like you operate on other code, and like build stuff that's more expressive and dynamic. and so yeah, that was always a very important part.Swyx [00:04:04]: Then the pushback is this is a DSL.Akshat [00:04:07]: Yeah.Swyx [00:04:07]: It's you're closed source. I am locked into Modal.Akshat [00:04:11]: Yeah. We never really got pushback for that because the nice thing about Modal is you can bring whatever code you have, and sure, the DSL is at the configuration layer for, what hardware you're using, how you're scaling things up, but you still own the code.Akshat [00:04:27]: And that's, that's been an important, part of our story, even as we do inference now.Swyx [00:04:32]: Yeah.Vibhu [00:04:32]: How much of do you think still stays the same today? Like if you were to build something today, DevX very important, but I feel like, a lot of this has been changed with just hook it up to an agent, have Claude Code, have Codex implement a tool. there's very agent native primitives that are different than if I'm doing this myself, right?Developer Experience → Agent ExperienceAkshat [00:04:54]: We've changed our SDK team to think about agent experience instead of, developer experience and we think that the same benefits that apply for DX also apply for AX, which is why would you have an agent read through hundreds of Kubernetes files and like write YAML that's not even typed when it can make a couple of changes in a decorator and it gets this self-provisioning runtime of, being able to see its changes live in action? yeah, it just seems from the customers we talk to, they find Modal is much faster for agents to use versus operating on a different substrate.Swyx [00:05:34]: Yeah, because like you, again, you co-locate the infrastructure requirements to the code that runs it.Akshat [00:05:38]: Yeah.Swyx [00:05:38]: Well, the negative thesis now is that nobody's looking at their code anymore, so there's no point.Akshat [00:05:44]: Yeah, people aren't looking at code. one thing we still see is really important is observability.Swyx [00:05:51]: Yeah.Akshat [00:05:51]: Like how good is your dashboard? And of course, like we have, we push a lot of it to the CLI so the agents can do their own investigation, but you still need humans to go interpret what's going on and, make judgment calls and whatnot. and that's I feel like, Maybe more important now than looking at the code itself.Swyx [00:06:11]: Yes, because like, you can try to treat the code as a black box and then use, see the observable action that comes out of it, and then just prompt a change.What Modal Is For: AI Cloud PrimitivesAkshat [00:06:21]: Yeah.Swyx [00:06:22]: So I think it takes a bit of restraint to not specialize, to say, “I want to ship a new primitive,” and then just be general purpose.Swyx [00:06:31]: People ask you, “What are you for?” You're like, “ I don't know. We can do this, we can do that.”Vibhu [00:06:36]: Well, I'd be curious to see, like, okay, if we were to ask you, like, what is Modal for even at a high level? There's a lot you guys do, sandboxes, GPUs, everything. How do you answer?Akshat [00:06:46]: Modal is a cloud platform that's built for, where we've built the primitives from scratch for AI applications. and right now it covers, inference, training, batch processing, and sandbox workloads.Akshat [00:07:00]: But we're building a lot moreSwyx [00:07:02]: I noticed you didn't say web server, so there is still a role for, like, the always-on large-scale Kubernetes type things.Akshat [00:07:09]: Yeah, absolutely. We're, we're not trying to compete with the renders of the world, because yeah, we think the differentiator for us is the, are the workloads that need specialized compute, need to scale up and down a lot. yeah, they're, they're, they're just shaped differently.Working Alongside Frontier StartupsVibhu [00:07:26]: I think you're building a lot of it alongside the startups, right? They're innovating quite a bit, even in your, like, latest blog post. Like, even in the series C, the customers that you mention here, the cognitions, technical ones, ramps and whatnot, they're, they're innovating with you, right? And that's not something AWS is doing directly with.Akshat [00:07:45]: Yeah, absolutely. I think, this is again classic. We're a small team. We can move really fast. our engineers are working with our customers and figuring it out. Yeah.Swyx [00:07:54]: So my first week at Cognition, I walked in, there was someone wearing a Modal shirt. I was like, “What are you doing here?” They're like, “Yeah, I just. I am embedded inside of Cog.”Akshat [00:08:05]: Yeah, I think that was Peyton. We sent him overSwyx [00:08:07]: Yeah.Akshat [00:08:07]: Because, the latency of communication was too high otherwise.Swyx [00:08:12]: Yeah, distributed node, you have to - you have to place one and collocate.Vibhu [00:08:16]: Yeah.Swyx [00:08:16]: So I had a, I had direct personal experience, right? So I worked on smol developer three years ago. it was inspired by Claude 1. I think you onboarded me at some point, like, just before, and I was like, “Oh, like, I need some bursty compute. Like, I was just gonna try using Modal.” And it was a, it was a pretty pleasant experience. apparently, I showed up in the board meeting, like the analytics.smol developer, Sandboxes, and Proto-CognitionAkshat [00:08:39]: Yeah, you blew up on Hacker News and,Swyx [00:08:41]: YeahAkshat [00:08:41]: We got a big traffic spike. I. I think the way you used smol developer was Modal functions for running stuff, which was. Like, the, that was a good use case. but then, yeah.Swyx [00:08:53]: Yeah. That - So to me, that was proto-cognition.Akshat [00:08:55]: Right.Swyx [00:08:56]: If only I had, like, stuck to it.Swyx [00:08:58]: Like, that was like, if - did you say draw the tech treeAkshat [00:09:00]: AbsolutelySwyx [00:09:00]: You're just like, “Yeah, like, probably this will happen.”Akshat [00:09:02]: Yeah. Like, he was so close. You were just rebuilding upon usSwyx [00:09:04]: I just didn't realize.Akshat [00:09:05]: But the funny story there is at the same time, we were talking to a bunch of customers who needed something like sandboxing.Swyx [00:09:14]: Yeah.Akshat [00:09:14]: This is like twenty-three.Swyx [00:09:15]: Yeah.Akshat [00:09:16]: So we builtSwyx [00:09:17]: You introduced a new API right after that.Akshat [00:09:18]: Yeah.Swyx [00:09:19]: Yes.Akshat [00:09:19]: Like, we built sandboxes in May of twenty-three before anyone was even knew this was gonna be a thing. And the first example we published was, we took smol developerSwyx [00:09:28]: Smol developerAkshat [00:09:28]: And put it in a loop, so the agent can iterate on itself.Swyx [00:09:33]: Loops are hot these days.Vibhu [00:09:34]: It's the looper.Akshat [00:09:34]: Yeah.Vibhu [00:09:35]: Loops in. When was this, twenty-three?Akshat [00:09:38]: Yeah.Vibhu [00:09:39]: A small check.Akshat [00:09:39]: Yeah.Swyx [00:09:39]: It's like twenty-three. so the. the, those for listeners, like, the problem was the models are not built for any of this, right?Swyx [00:09:46]: Like, you're just trying to like. They're not post-training to understand, like, looping and, like, self-correction and tool calling was there, but, like, also not that great.Akshat [00:09:55]: Yeah.Akshat [00:09:55]: I don't remember if you used tool calling in this one, but yeah, the models would just diverge after like ten iterations and not produce anything meaningful.Swyx [00:10:03]: Yeah. But like, then. So okay, like now talking to myself three years ago, the answerVibhu [00:10:08]: Of course they will get betterSwyx [00:10:09]: Collect all the failures, build benchmark, and then collect all the, examples, build the RL environmentAkshat [00:10:15]: RightSwyx [00:10:15]: Sell it for like ten billion dollars to Meta.Swyx [00:10:17]: And then also train a model and then sell that for sixty billion dollars to Elon. And this isAkshat [00:10:23]: Yeah, of courseSwyx [00:10:23]: The funny machine. Like, it's like, it's about the hardware.Akshat [00:10:28]: It's hard to have that inherent conviction that the stuff will get that much better.Swyx [00:10:33]: In retrospect, it's so f*****g obvious.Akshat [00:10:36]: Fair enough.Swyx [00:10:37]: Like, what else were we doing back then? I don't know. anyway. Yeah. So this. That was the start of your sandboxing journey, right? I feel like it didn't blow up until, like, last year.Akshat [00:10:49]: Yeah.Swyx [00:10:50]: So there was like a couple years of quietness.Akshat [00:10:52]: Exactly, yeah. We wereVibhu [00:10:53]: I think very underrated product value. Like, my experience with Modal, Charles, before he had joined Modal, met this guy at a hackathon, and he really insisted we wanted to run some small model, not hosted anywhere, and he's like, “ there's this cool company, Modal. They'll like spin up a GPU sandbox, we can throw it on there. They'll take a Hugging Face link.” And like there's so much value just right there, right? Like instant hosting, spin it up, spin it down. It'll stay cold, but we run the demo a few days later, it'll come back up and like all this stuff in retrospect, like it's still what we needed like today.Akshat [00:11:27]: Yeah, it's still needed today. workload shapes have changed a lot as, we run stuff for people with really massive production scale and, there it's it's not about scaling from zero to one, but it's how do we scale really elastically, from like thousand to fifteen hundred GPUs very quickly in a given region. It's the same shape problem.Elastic Inference, GPU Autoscaling, and Custom ModelsVibhu [00:11:50]: Okay. So you look at, say, Cursor Composer, right?Akshat [00:11:53]: Yeah.Vibhu [00:11:53]: They had a. “We'll do RL on a model every couple hours.” you guys have a whole version of RL inference gym and whatnot.Vibhu [00:12:01]: When you look at workloads like that, you're doing train runs where you need to scale up, scale down every hour thousands of GPUs, right? That's the example for we do need it, right?Akshat [00:12:12]: Yeah. Well, so I'll, I'll take a step back and, maybe talk about like how people use Modal today. because our biggest use case is, elastic inference. And the thing we first found product market fit, with was inference for custom models. So we stayed away from the LLM space, and we were serving companies like Suno for audio, Runway for video, robotics, comp bio companies that train their own model elsewhere. But Modal is the best black box that for deployment, scaling to however many GPUs you need as your traffic pattern changes. And we saw all of them like have a very unpredict- predict- predictable, traffic pattern. it's like diurnal. It's Some days, like the company will do a launch and, they'll need like, way more. And it's not just one model that they deploy. They-- all these companies deploy, lots of different models in different regions, and so the autoscaling problem becomes even harder because then you have to scale within a certain region, and those cycles are offset. So different times you scale up in different regions.Akshat [00:13:20]: So that's like our sortVibhu [00:13:22]: And thatAkshat [00:13:22]: YeahVibhu [00:13:22]: That in and of itself is a huge category. There's a bunch of inference providers which, provide this fireworks, does this as a service together, whatnot, Base10. that's carved into its own niche for language models, at least right now.Akshat [00:13:36]: Yeah. the thing that we have specialized in is the autoscaling aspect.Vibhu [00:13:41]: Yeah.Akshat [00:13:41]: Because we found that it's not universally true that everyone else can autoscale, and we've gone deeper into it on the tech side by, we've incorporated GPU snapshotting into the product so we can take the GPU state, like your torch.compile model, snapshot it, and the next cold start is way faster. And so going back to your question, it's That's why you need a lot of burstiness for inference. But then people also do a lot of demand training, like for RL stuff, your rollouts are bursty, as you said. People also do a lot of batch jobs. So we'll see, a lot of companies, before they have a training run, they'll need thousands of GPUs to run encoding or something like that. And I think those things are much more bursty than. I agree that agents are not that bursty. sandboxes are, except when you're doing RL. RL is justRL, Batch Jobs, and 100,000 SandboxesVibhu [00:14:28]: Or commerceAkshat [00:14:28]: Insanely bursty.Vibhu [00:14:29]: Yeah.Akshat [00:14:30]: Yeah. Like when you're doing, rollouts, you sometimes need a hundred thousand sandboxes in your sandboxes.Vibhu [00:14:37]: Yeah. I'm curious if you've seen early sparks of continual learning. There are some people, like our friends, ngram, recently announced thisAkshat [00:14:45]: YeahVibhu [00:14:45]: They're, they're trying to do training. That also seems like a different workload, right? If you're doing training twenty-four/seven per se, there's a very weird dynamic of how you're using GPUs between people and whatnot, but seems like something you guys would work for.Akshat [00:15:00]: As you said, we're, we're fortunate to work with a number of, customers at the frontier and grab some of our customers. and they are taking the primitives we have, and trying to use them in very interesting ways, like continual learning. It's possible as the stuff gets better, some of that will be part of, our offering as well if, more people need it. but we're, we're just waiting to seeVibhu [00:15:23]: YeahAkshat [00:15:23]: How it shakes out.Vibhu [00:15:24]: Is there a primitive that you added after sandboxing that was the next step in the story?LLM Inference, DeFlash, and Speculative DecodingAkshat [00:15:32]: I guess we've been going much deeper into LLM inferenceVibhu [00:15:35]: YeahAkshat [00:15:35]: Because we realized that some of the advantages we have with like autoscaling, again, especially in different regions and whatnot, are, not present elsewhere. and the place where we had a gap was we weren't, working on the model layer itself. Like we were a black box. And, we realized that, we can get to frontier-level model performance, with, by having great people who work on this. And, we've been open sourcing a lot of our work, in terms of, Recently, we, shared our work on DeFlash, which is a block-based, speculator, and we've open sourced, all of it. So, you can - By using open source DeFlash, you can get the same performance as you would with one of the proprietary providers. And the next thing we're thinking about hereVibhu [00:16:23]: I thought this wasAkshat [00:16:24]: YeahVibhu [00:16:24]: An interesting blog post as well, right? Like, I think in here you make a claim that. Not a claim, just that how effective speculative deco-decoding really just get to.Akshat [00:16:33]: Yeah.Vibhu [00:16:33]: Anything you wanna point out from this around, what people should know?Akshat [00:16:39]: Yeah, absolutely. the high-level summary is, it would help to describe what speculative decoding is.Vibhu [00:16:44]: Yes.Akshat [00:16:44]: I will, yes.Vibhu [00:16:45]: I think, likeAkshat [00:16:46]: YeahVibhu [00:16:46]: So we've covered like Eagle and all thisAkshat [00:16:47]: YeahVibhu [00:16:47]: Like Hydra and all those things, but it was like two years ago.Akshat [00:16:51]: Yeah.Vibhu [00:16:51]: I think it doesn't hurt, right?Akshat [00:16:52]: Yeah. Speculative decoding is you have a smaller model, called a draft model, predict tokens ahead of the bigger model, and then you have the bigger model, verify all of this, all the tokens are predicted. And the reason it's faster is if you're predicting, one token at once, you're bound by memory bandwidth. But if you can batch the verification of, the draft model, then you're much more efficient using compute, and it's faster, and as long as your draft model is producing a lot of tokens that can get accepted, which is called the accept length, you can get a speed up that's, multiple times of, the original model speed. and well, that's what we highlight here. It's Like people talk a lot about we made these kernels faster and whatnot, but improving kernel will only give you like few percentage points of improvement, and, increasing accept length, literally is a multiplicative decreaseVibhu [00:17:47]: Like two to four X.Akshat [00:17:48]: Yeah, exactly.Vibhu [00:17:48]: Without much head-on performance.Akshat [00:17:50]: Yeah. I think it may - you are running a second model, right? So it may be something more expensive in the compute,Vibhu [00:17:57]: I meant quality performanceAkshat [00:17:58]: Probably not by muchVibhu [00:17:58]: But yeah. I thinkAkshat [00:17:59]: So there's no drop in quality performanceVibhu [00:18:01]: YeahAkshat [00:18:01]: Because you're always. You're never accepting a token that the big modelVibhu [00:18:04]: It's strictly betterAkshat [00:18:05]: YeahVibhu [00:18:05]: Or it's same.Akshat [00:18:06]: Exactly.Vibhu [00:18:07]: Right. Yeah.Akshat [00:18:08]: And so we've been working a bunch on DeFlash, which is a block-based speculator. so it's instead of predicting, one token at a time, it's predicting a block. And we've been open sourcing our work with it. The next thing for us here is for helping people train speculators and custom models. it's it's something that traditionally is very forward-deployed engineering driven, support deployed, engineer driven, like you work with customers and help them do that. And our vision for. This is why we launched Auto Endpoints, is we want to make frontier-level performance available to everyone. And so, we mentioned this in the announcement, we teased it. The next thing we're, we're launching is, as you run an auto endpoint, we shadow trafficAuto Endpoints and Frontier-Level PerformanceVibhu [00:18:54]: Do you want to explain what auto endpoints are?Akshat [00:18:57]: Yeah.Vibhu [00:18:57]: I lovely, yeah.Akshat [00:18:58]: Yeah. So, this is, I guess, going back to your Modal is you touch the code, but, sometimes people don't wanna touch the code, and they wanna get started with an endpoint that works and has all the great performance and, scalability that Modal has. So we've made that easier with, a way to create an endpoint from our UI, from the CLI, that has all of our optimizations that we talked about, like the DeFlash stuff already baked in, and there's full transparency. So we give you the code, you can go run it yourself, and if you want, you can eject out into the full Modal experience, which we see as people get sophisticated, they do wanna tweak the models, they wanna, fine-tune stuff. You can still do all of that. It's it's not a black box. And yeah, the next thing, as we teased later in the post, is how do we give you value even beyond this in terms of having your draft models evolve as your data distribution evolves, again, without having to talk to a person and, yeah.Vibhu [00:19:59]: I guess just to understand it directly, you have the GPUs, you have an endpoint that's compatible, you serve open model. If someone was to do this themselves, what's the delta that you guys provide? So you do a lot of open source great work on effective inference. how does it compare to, say, I take the same model, 5.2 FP8, take shelf inference engine, vLLM, SGLang, get compute of similar capacity, similar cost. What's the delta that plugging into something this, like this offers outside of the benefit of, scaling?Production Inference Beyond Raw GPUsAkshat [00:20:34]: It's interesting because we've taken the approach of open sourcing our contributions and upstreaming them. we work closely with the SGLang team. We want the improvements that our team, comes up with to be, there in open source for others to use, even outside of Modal. The benefit to us is we have a team that has significant expertise in terms of if you do have something that is not there, our team can help you get that performance, first. the other thing is with these endpoints, we are way more elastic, as you said, than, anyone else, and you have true scaling to zero. you have true, burstiness, and in practice, that matters a lot more to people than just finding, the GPU and, running Modal code on something.Vibhu [00:21:20]: Yeah. And I will say it's not that straightforward to just. like what I said is easier said than done, right?Akshat [00:21:26]: Yeah.Vibhu [00:21:27]: It's I think still for the average person, still hard to just gut check using different. There's, there's quite a bit of combinations you can make there. the trade-offs aren't really known at face value.Akshat [00:21:40]: Yeah. it's it's not just that. I think it's it's that running production-grade inference is a hard infer problem.Vibhu [00:21:49]: YeahAkshat [00:21:49]: Even if you subtract out the autoscalingVibhu [00:21:50]: YeahAkshat [00:21:51]: Is controlling things like tail latency and, making sure every, request is delivered at least once and whatnot.The Model and Agent LifecycleVibhu [00:22:00]: There's a lot of innovation that you can do here. I think, it's very interesting that you're starting to encroach on, like as you become a full cloud, you're starting to encroach on other people's turf.Vibhu [00:22:09]: What will you not do?Akshat [00:22:13]: Well, we wanna follow our users and, make sure they get like a platform that has everything that works well together. so right now we're focused on the model lifecycle and the agent, lifecycle. so both like going from data prep to training to inference, and then also if I want to deploy a background agent, let's say, sandbox, do persistent storage, a whole bunch of other stuff.Vibhu [00:22:38]: We talked to Cole, who did, OpenInspect. Yeah.Akshat [00:22:42]: Yeah.Vibhu [00:22:42]: And RealInspect also is on Modal.Akshat [00:22:44]: Yeah. So Ramp Inspect was a great example of a background agent that was really successful because they, were able to use some of the primitives like snapshotting and fast scaling to just have something that feels really reactive and works well.Ramp Inspect and Background AgentsVibhu [00:23:02]: Yeah. That's the new CTO of, Ramp right there.Akshat [00:23:05]: Yeah, Rahul.Vibhu [00:23:08]: It was really fun. yeah, okay, I think, all very bullish. Like, one of my reflections was also I did not originally. So when I met you guysThe Inference Inflection: CPU, GPU, and Co-LocationVibhu [00:23:19]: You weren't that much in the GPU game, and now you're all about, inference. And one of the points that I hinged on for Jensen's keynote at GTC this year was, what we're calling like the inference inflection, right? That let's say in AI workloads or machine learning workloads, it used to be like, let's call it eight to one GPU to CPU, and now it's more like one to one, which is like a interesting. Like, - because of how much agents are blocked or call out to this, to CPU heavy stuff the actual, like, limiting factor, like, swings back and forth from GPU to CPU a lot more than it used to be all GPU and then occasional CPU.Akshat [00:24:01]: Yeah.Vibhu [00:24:02]: GPU, CPU. And now it's like just constantly, and you just have to locate everything.Seventeen Clouds and the Supercloud StrategyAkshat [00:24:08]: Yeah. And that's one of the things that, again, we see as, something appealing about Modal, which is we've built this capacity pool that spans, 17 cloud providers, so we're, we're very good at Running on various kinds of cloud capacity across the worldSwyx [00:24:24]: You don't have your own data centers?Akshat [00:24:25]: We don't have our own data centers. We just run across a lot of neo cloudsSwyx [00:24:29]: Yeah. AreAkshat [00:24:30]: Metal providers.Swyx [00:24:30]: Yeah. Question mark.Swyx [00:24:31]: Yeah. You're, you're running the math, and you're like, “What's the cutover point where you're like.”Akshat [00:24:36]: Yeah, it's a good question. part of it is we see our differentiator in the software layer, and, being capital light and focusing on the software helps us move really fast. so far it's worked out well because there are so many other people building data centers that we're able to work effectively with them, and again, focus on what makes us, special.Swyx [00:24:55]: Yeah.Swyx [00:24:56]: 17 gets you into, like, the local providers sometimes. LikeAkshat [00:25:00]: The,Swyx [00:25:01]: Which was the most interesting one?Akshat [00:25:02]: There are a lot more neo clouds than you expect, and they all have various degrees of, various levels of reliability. And, that's why it's something we've invested a lot of time in, is building our own reliability layer on top. so if the GPU falls off the bus or something happens, we user workloads are not affected, and that lets us use a lot more capacity than,Swyx [00:25:30]: YeahAkshat [00:25:30]: You as a user would be able to.Swyx [00:25:32]: It's a useful thing to have because like now everyone knows, like, what layer you are and, like, you optimize for being the super cloud of all clouds.Akshat [00:25:41]: Yeah. That's, that's, that's the idea. and so I guess when you mentioned colocation, that's, that's another interesting thing where, one thing we've seen is people come to us when they want, very specifically located, CPUs or GPUs, like they wantSwyx [00:25:57]: Oh, they pin it in likeAkshat [00:25:58]: YeahSwyx [00:25:58]: EU?Akshat [00:25:59]: Exactly. Or EU, US.Swyx [00:26:01]: Right. Data resiliencyAkshat [00:26:02]: AustraliaSwyx [00:26:02]: Locality thing or performance or what?Akshat [00:26:04]: It's either data locality or latency, yeah.Swyx [00:26:07]: Yeah.Akshat [00:26:07]: Like, you want your. They're running sandboxes and model. They want them to be right next to aSwyx [00:26:10]: Yeah, it's easy thenAkshat [00:26:11]: YeahSwyx [00:26:12]: To. That is important in all those things. and so, like, you've accidentally, I don't know if it's accident, but, like, you've built the perfect primitive for agents to express themselves. And then, like, it's almost very funny how every extra development just involves more file system, just involves more CPU.Akshat [00:26:30]: Yeah.Swyx [00:26:31]: Just like the things that you already have. I don't know much about, if there's any, like, networking usages that are interesting, but you've also done some good work on networking.Networking, Sidecars, Private IPv6, and SandboxesAkshat [00:26:40]: Yeah, that's exactly right. Like, we're just taking compute storage and networking and building stuff on that layer, for, again, the stuff people need.Swyx [00:26:49]: YeahAkshat [00:26:50]: We see a few interesting networking things coming up. one is people want networked sandboxes. so we haveSwyx [00:26:57]: For like a Docker cluster type thing.Akshat [00:26:59]: Yeah.Swyx [00:26:59]: Sorry, Docker Swarm. Oh, f**k. What is it called?Akshat [00:27:02]: Compose.Swyx [00:27:03]: Compose type thing.Akshat [00:27:04]: Yeah. So if you want Docker Compose, our sandboxes now support, this thing called sidecars. So you can. A sandbox is a pod of containers, and you can run multiple containers in, a sandbox. also useful because, going back to networking, people want a lot of control over, outbound networking from a sandbox.Swyx [00:27:23]: Yeah.Akshat [00:27:23]: Like, they might wanna run a middle proxy for, like, maybe logging stuff for RL or, controlling how egress can happen to a domain, injecting credentials. and yeah. So we've, we've had to build a lot of that stuff ourselves.Swyx [00:27:38]: Yeah.Akshat [00:27:39]: But then also sometimes people want, sandboxes spanning multiple nodes to talk to each other, which is an emerging thing we're seeing. We have support for that for a different reason, and yeah, we'll see if that becomes stable.Swyx [00:27:52]: Like, just an open socket. It's a. This is directly like mTLS.Akshat [00:27:56]: We do support that, which is you can, expose a tunnel inside a sandbox.Swyx [00:28:01]: Yeah.Akshat [00:28:01]: And then you can either expose it to public internet or it can be, you can add like a HTTP, auth layer above it. But we have this thing called I6PN, which we haven't talked about, which is this, like, overlay network using IPv6 addresses. so if Modal containers, within the same workspace, when this is enabled, can address each other using this private IPv6 address, and no one else can.Akshat [00:28:28]: So it's like private networking, for containers. We built it because we needed it as a primitive for our distributed training product. so we have this other feature, which is you can add a decorator to a function, and you get a cluster of GPUs. and they have RDMA networking. so you can run a distributed training job, that's truly serverless. and we did the overlay network for that. But then we've seen that people are using it for other reasons, and, I'm intrigued to yeah, what would people do with it.Swyx [00:28:59]: Build primitives and let people figure it out, right?Akshat [00:29:01]: Yeah, exactly.Swyx [00:29:02]: You put out a pretty interestingAkshat [00:29:03]: They're like, they read the docs webpage. Let me use thatSwyx [00:29:06]: YeahAkshat [00:29:06]: Something they never intended to work. This is literally not even in our docs page. People somehow found it, and they're using it.RDMA, Memory Movement, and Distributed TrainingSwyx [00:29:12]: Huh.Swyx [00:29:14]: The way you portrayed it with, like, RDMA versus TCP, like, very well laid out, but just the transfer speed change at scale for RL, like yeah, you have it, you have it built in. I'm sure someone found it. It's found it to be a lot more efficient before you made a thing out of it, right?Akshat [00:29:32]: Yeah. And not to split hairs, I guess the overlay network is the TCP overlay network.Akshat [00:29:39]: The reason we have that is you need that to do the key exchange for RDMA before you set up the RDMA network on top of that. but then people found the TCP part.Swyx [00:29:48]: Can I tell you, this is like a big aha moment for me becauseAkshat [00:29:51]: YeahSwyx [00:29:51]: So I review 2,200 submissions for the World's Fair.Akshat [00:29:56]: Yeah.Swyx [00:29:57]: And then I got this from John OsterhoutAkshat [00:29:58]: HuhSwyx [00:29:59]: Who I don't know if. Do John Osterhout by name?Akshat [00:30:01]: The name sounds familiar.Swyx [00:30:02]: He published a. He's a well-known professor, published a lot of interesting software design books, and this is the talk he chose to submit, is on RDMA at Inference. And I'm like, you wouldn't think that this guy, who is like operating systems guy, would care about RDMA.Akshat [00:30:20]: I, it makes sense to me because I,Swyx [00:30:24]: This is the cloud, right? YeahAkshat [00:30:25]: Like, the way you move around your KV cache and how efficiently you can do it, how efficiently you move, your weights from your training GPUs to your inference GPUs in RL is there's a lot of degrees of freedom, and it is a systems problemSwyx [00:30:41]: YeahAkshat [00:30:41]: Moving memory aroundSwyx [00:30:42]: YeahAkshat [00:30:43]: Scheduling.Swyx [00:30:44]: This shows you how primitive my understanding of networking stuff is.Swyx [00:30:46]: Is this like the domain of WireGuard as well?Akshat [00:30:50]: Not quite.Swyx [00:30:51]: It's adjacent?Swyx [00:30:53]: Explain everything.Akshat [00:30:54]: Sure.Swyx [00:30:56]: How do we move memory around GPUs?Akshat [00:30:58]: Well, so sorry. Yeah, that is memory. Sorry, I was talking more, and maybe I was talking like five minutes back, about the private IPv6, addressing that you've set up.Swyx [00:31:09]: Yeah.Akshat [00:31:09]: Is it like it's a VPN?Swyx [00:31:10]: Yeah, it is like a VPN, and yeah, WireGuard is, yeah, you're right. It is,Akshat [00:31:16]: Right. Yeah, you already moved on to new topicsSwyx [00:31:17]: A similarAkshat [00:31:18]: OkaySwyx [00:31:19]: In the same space, WireGuard is, encrypted and this is,Akshat [00:31:23]: And you don't need encryption.Swyx [00:31:23]: Yeah.Akshat [00:31:24]: Yeah.Swyx [00:31:24]: This is not encrypted. that's the main difference. This is TCP and we have eBPF programs that will reject or allow the TCP connection based on whether you're allowed to do it.Akshat [00:31:35]: Used to involve a full sidecar, but now you have eBPF in the Linux kernel.Swyx [00:31:39]: Yeah.Akshat [00:31:40]: Yeah. I don't know if this is a natural follow-on to the topic of like my skepticism on distributed training is that while, like, people spend a lot of money on, like, cables to hook up GPUs, and even that is not, like, fast enough, and that's the bottleneck, is your networking fast enough?Swyx [00:31:59]: Yeah. So I guess you're talking about fully distributed training like, Dialog or something which is like cross data centerAkshat [00:32:06]: That would be, yes.Swyx [00:32:07]: That's the extreme.Akshat [00:32:08]: Yeah.Swyx [00:32:08]: You're in the middle, and then other people would have like the Mellanox cables up in, like, their actual data center.Akshat [00:32:14]: When you run multi-node training on Modal, RDMA, I think Mellanox, is, or InfiniBand is like a, is all seen as RDMA. but it's a way to bypass the TCP networking stack and, transfer, stuff much faster, between one node, to the other. And we have I think like 3 terabit per second, internal networkingSwyx [00:32:40]: OkayAkshat [00:32:40]: Which is the standard that's needed.Swyx [00:32:42]: Okay. So I misunderstood whatAkshat [00:32:43]: 50Swyx [00:32:43]: What part of the stack you wereAkshat [00:32:44]: 50 gigs overSwyx [00:32:45]: YeahAkshat [00:32:45]: If you wentSwyx [00:32:45]: YeahAkshat [00:32:46]: RDMA.Swyx [00:32:46]: Okay.Swyx [00:32:48]: Yeah. I, very impressive work.Multi-Node Training, Post-Training, and Auto ResearchSwyx [00:32:52]: So effectively you're extending like the model philosophy to the training cluster, like, yeah.Akshat [00:32:59]: Yeah. And we're, we're not going for like large scale training runs. the thing that we've built multi-node training for is, we see a lot of, smaller scale post-training. like, people are post-training like medium sized fund models, so they can, get higher quality on inference. this is a perfect fit, for something like that.Swyx [00:33:21]: Yeah. That is my impression of how a lot of these labs explore branches in post-training and then eventually merge whatever they find in.Akshat [00:33:31]: Yeah. The other use case we've seen for multi-node training is even if you have a big cluster, your researchers are still doing small runsSwyx [00:33:38]: YesAkshat [00:33:39]: Having elasticity thereSwyx [00:33:40]: Right, sureAkshat [00:33:40]: Matters a lot more.Swyx [00:33:41]: Yeah. the, like, this is like the current limiting factor for auto research, which is like you need to give your model some GPUs in order for it to completely run.Akshat [00:33:51]: We have a blog post on auto resource and model is,Swyx [00:33:55]: YeahAkshat [00:33:56]: Yeah, like, turns out to be pretty good substrate for that.Swyx [00:33:59]: So my impression is auto research means many things, likeAkshat [00:34:01]: YeahSwyx [00:34:01]: Anything that Andrej coins. Right now it's still science fair, right? Like not like, I don't know how many people are doing this.Akshat [00:34:08]: We're having a golf.Swyx [00:34:08]: Yeah.Akshat [00:34:09]: I thought the same thing.Swyx [00:34:11]: Yeah, you would know.Akshat [00:34:12]: We, like, our internal both training and inference teams use this the general shape of this quite a bit. like we have this one internal repo called auto inference, which essentially we've automated our own forward-deployed engineering efforts using, this harness, which is, the agent will just spin up a sweep of different things. It'll even run like, NVIDIA inside profiler and it'll like tweak configs and it'll arrive the right thing. it'll change your GPUs both from H200 to B200, and works really well.Swyx [00:34:47]: Nice.Akshat [00:34:47]: So yeah.Swyx [00:34:48]: By the way, I enjoy that your forward-deployed engineering is so technical that you have to do these things.Swyx [00:34:52]: It's very different from forward-deployed engineering from other people.Akshat [00:34:54]: Yeah. For our forward-deployed engineering team is, essentially they're like applied inference researchers or applied training researchers.Swyx [00:35:02]: Someone told me like they have to be able to build, but they also have to be able to sell. do they have to sell or are they like they're good, they're just like post-sale type of thing?Akshat [00:35:09]: It does, being able to talk to a customer and engage effectively with themSwyx [00:35:13]: YeahAkshat [00:35:13]: Matters a lot.Swyx [00:35:14]: They want the same thing.Akshat [00:35:15]: Yeah.Swyx [00:35:15]: ?Akshat [00:35:15]: But it's it's not really a sales, thing. We pair them with-- We have solution architects as well that are more on the sales side.Swyx [00:35:23]: Okay. Let's spend a bit more time on auto research. This is a big focus for for this year. Where does this go? like, have people explored enough? Like, there's all these beautiful charts of like improve and then level off a bit and then you find the next thing. Is this one abstraction up from normal training? Is that how we think about it, or do you think about it differently? Like model level training versus high, like driven hyperparameter search.Auto Inference and Modal BenchAkshat [00:35:51]: Yeah, like,Swyx [00:35:51]: Someone, some people call it like neural architecture search or whatever, right? Like.Akshat [00:35:54]: Yeah, - So the stuff I've seen people do with it is nowhere on the architecture level. It's pretty much tweaking parameters, but it's it's a hyperparameter sweep that's guided by some model intuition, so it's like much more efficient than, whatever other, sweep you would have.Swyx [00:36:12]: Yeah, it's just, it's just a question of where you want to spend your compute?Akshat [00:36:16]: Right.Swyx [00:36:16]: ‘Cause yeah, you can just throw infinite amounts of money on this and somehow you'll bang out Shakespeare?Akshat [00:36:22]: Yeah, infinite monkey.Swyx [00:36:24]: Yeah, so like the very good for model. and I think it's also very important that agents can spin up other agents, can spin up their infrastructure. Like very good for you. how good is our LLMs at generating model code? Like the benefit of existing LLMs is that you are in the data.Akshat [00:36:42]: Yeah. They're, they're surprisingly good. I think like pre Cloud 4 they were not, and then now they're able to shot, stuff out of the box. But we're playing around with releasing like a Modal Bench for like the harderSwyx [00:36:55]: YeahAkshat [00:36:55]: Things, that the LLMs cannot do yet and maybeSwyx [00:36:59]: What's an example of that?Akshat [00:37:01]: I think the things that- Sometimes agents struggle with, without right guidance and a skill is, how to, use the rest of our observability. Like how to. Something is failing, like how do you look at the logs and then update the right thing? It's reasoning about that. But they're able to shot, likeSwyx [00:37:23]: Yeah. You can just add a skill to it?Compute Strategy and Capacity PlanningAkshat [00:37:26]: Yeah. So we have a Modal skill now that. Which is why we built this Modal Bench. It's to find things like that, so we can address them in our tool.Swyx [00:37:35]: Tune a skill. Yeah.Akshat [00:37:36]: Yeah.Swyx [00:37:36]: No. it's it's good. are you facing any shortages? like we talk a lot about GPU shortages, but also CPU, also memory.Swyx [00:37:44]: Yeah.Akshat [00:37:45]: We have had a lot of growth, which means that, there's - we've had to be much better aboutSwyx [00:37:53]: PlanningAkshat [00:37:54]: Proactive capacity planning.Swyx [00:37:55]: Yeah.Akshat [00:37:55]: So we have,Swyx [00:37:57]: Which by the way, like it's like a MBA's like dreamAkshat [00:38:00]: YesSwyx [00:38:00]: Is like just planning this stuff. I think last time you and I talked about something maybe about this.Akshat [00:38:03]: Yeah. we have a really competent team of people that we call, The role is called compute strategy. so yeah, if anyone listening here or wants to work on thatSwyx [00:38:13]: Compute strategy?Akshat [00:38:13]: Yeah.Swyx [00:38:14]: I think,Akshat [00:38:14]: I feel like,Swyx [00:38:15]: I think the normies call it FP&A or something.Akshat [00:38:18]: Well, it's more It's it's not FP&A. It's it's There's a lot of interesting financial questions of like what is the blend between one year and three-year reservations? how do we forecast our own capacity? how do we. especially since our capacity is very fungible across different GPU types and different regions, like you have to model a lot of it. and you also have to have an opinion on how the supply chain is gonna evolve, and then you have to like, take bets,Swyx [00:38:49]: YeahAkshat [00:38:49]: Based on that.Swyx [00:38:50]: Tokenomics.Akshat [00:38:50]: Yeah.Swyx [00:38:51]: This is like probably a not a real point, but, I was trying to think about like what other industries. I was trying to think about like, we cannot be first to like these kinds of problems.Akshat [00:38:59]: Yeah.Swyx [00:39:00]: And what other industries have had this? And I was like, airlines with fuel and like they have to hedge their fuel and like, I think for a long time Southwest because they made like a hero fuel bet, they like were like super low cost becauseAkshat [00:39:12]: OhSwyx [00:39:12]: Compared to everyone else.Akshat [00:39:14]: Yeah. I hadn't thought about that.Vibhu [00:39:16]: We're at a fun time too?Akshat [00:39:18]: Yeah. It's. A lot of the compute business in general, for us is also about being very good about capacity management. That is how you have great unit, economics. but also over time it's how you can unlock more value for customers. Like, one of the things we're building now is like a way for customers to get, If they don't care about latency, like get much cheaper pricing and they'll get results back in like next 24 hours or something, like a batch tier essentially.Batch Tiers and Latency-Insensitive WorkloadsSwyx [00:39:47]: Yeah.Akshat [00:39:47]: And those are levers we have because we control the whole stack and scheduling and whatnot to give people a sufficientSwyx [00:39:53]: Yeah. I feel like they're not as popular. Like those, like the Frontier Labs have all those APIs. They're not as popular as they should be.Akshat [00:40:00]: The demand that we see for something like that is not for LLMs. although sometimes people wanna run evals andSwyx [00:40:08]: OkayAkshat [00:40:08]: Synthetic data prep and there it makes sense.Swyx [00:40:10]: Okay.Akshat [00:40:11]: But it's from a lot of LLM companies, like people who are doing computational bio, like they have to run really big batch jobs and they don't care about when they get it back.Swyx [00:40:22]: Yeah. And like they have a reasonable. It's it's also like a cousin to the stopping problem of like, will this finish in time?Akshat [00:40:30]: Yeah. You can bound it.Swyx [00:40:33]: Yeah.Akshat [00:40:33]: Like you can give peopleSwyx [00:40:34]: YeahAkshat [00:40:34]: SLAs on it.Swyx [00:40:35]: Yeah. I think what's, what's interesting is like the next phase of model.Swyx [00:40:38]: Like what, do people expect from you, now that you're established and you're like well-known compute player among all these leading companies. You had an inference launch week, and we talked a little bit about the launches. like what else? Like what else should people know?What Modal Builds NextAkshat [00:40:55]: We are building primitives that make our users' lives much easier. So, I think for example, with LLM inference, thousands more companies are gonna post-train their own models and, deploy open source models for inference. so we're thinking a lot about what is the best product shape for that. And, that involves everything from our training gym to, then, endpoints that get frontier-level performance. again, but I haven't talked to anyone. It looks somewhat different on other verticals. Like, we're also seeing a lot of real-time, audio-video stuff in there, which is why like, we're working on things like regional routing, with fallbacks. So you can get GPUs that are as close to users as possible. so you get like low latency for video streaming and whatnot. And then on the agent side, it's,Akshat [00:41:52]: We're still working very closely with our customers because stuff is changing so fast in terms of what they need. And, I think beyond sandboxes and persistent file systems, there's a lot of other things people will need from this agent stack as they build production agents. So yeah, we're thinking about those other things that fit in there.Swyx [00:42:13]: I want to ask what the other things are.Akshat [00:42:15]: Yeah. I probably should share right now.Swyx [00:42:17]: I think-- I think, okay, so, I do think a lot about the principal components of cloud, and you do talk about compute storage networking.Akshat [00:42:25]: Yeah.Swyx [00:42:25]: Because so far for me, it's fine. so far for the. the first couple generations of cloud, it's fine. What's different, qualitatively different about agents that you need some new permission level? Like a lot of people, okay, and I'll just kinda spew tokens at you until it like hopefully sparks something.Akshat [00:42:43]: Yeah.Swyx [00:42:44]: Like the new level now is whatever Claude Code does, which is dangerously scope permissions or like allow list by command or like whatever, right? And sometimes they're like, “Well, okay, we have like this adaptive thinking mode where like, just trust me, bro. I will make the calls for you.” Is that it? like mediated permissions.Hard Guardrails vs. LLM-Mediated PermissionsVibhu [00:43:03]: Now you're looping it with a goal and letting it roll.Akshat [00:43:06]: Yeah, I'm, I'm skeptical of LLM media permission for stuff that is at the sandbox level because you do want hard boundaries.Swyx [00:43:16]: Yeah.Akshat [00:43:16]: Otherwise, someone can exfiltrate stuff.Swyx [00:43:20]: But likeAkshat [00:43:20]: YeahSwyx [00:43:20]: Maybe that's old school thinking. Maybe we're the dinosaurs.Swyx [00:43:23]: Maybe the AI OS or the LLM OS is really the kernel is a goddamn LLM.Swyx [00:43:30]: Like it makes you feel uncomfortable.Akshat [00:43:31]: Yeah, I'm, I'm toldSwyx [00:43:32]: But that's what trusting the LLM is. Like imagine a spherical cow perfect LLM.Akshat [00:43:36]: Right.Swyx [00:43:37]: That it.Akshat [00:43:39]: Maybe.Swyx [00:43:41]: I wanna test the boundaries, right?Akshat [00:43:42]: Yeah.Swyx [00:43:42]: Like, and I don't believe that, but I wanna see where I'm wrong ‘cause that's, that's the consensus.Akshat [00:43:49]: Yeah. I think you always need hard guardrails when you want, And you can pair those with softer guardrails, right? And that's gonna be a lot of mediated.Managed Agents and Specialized SandboxesSwyx [00:44:00]: There. I'll also get you a end with a couple of your commentary on like the ecosystem outside of Modal. Manage agents. Everyone has one. Gemini, OpenAI, Claude, very useful for you, but also like it is their way of starting to edge into your space.Akshat [00:44:17]: Yeah.Swyx [00:44:17]: What's going on?Akshat [00:44:19]: Yeah, we're, very excited to partner with Anthropic and some of the other foundation labs, will not name who we're also working with. the way we see it is the manage agent thing is a great place to start if you're starting out building an agent and, But then when you get to, building something more production grade, like you're a company that's like Ramp that's building their own, Ramp also runs their accounting agent on us, so their external-facing agent. You need a lot more control over, your compute primitive on things like, what sort - how do you persist different files that the agent has access to, and how do you snapshot and restore? How do you control the networking? maybe you want GPUs. When you get to that point, you kinda want, a specialized sandbox provider, that gives you those things, and that's the role that we are trying to play.Swyx [00:45:15]: YeahAkshat [00:45:16]: We don't really have an opinion on the harness, whether it runs - it's a cloud-managed agent, and you hook it up to Model Sandbox, or you run the harness in Model Sandbox. We'll see where people converge with that.Swyx [00:45:26]: Yeah. Do you any opinions on like the meta harnesses, or just another layer on top of these things?Akshat [00:45:31]: You mean like the OpenPipeSwyx [00:45:33]: OpenPipe is one. I think Vercel had one, which I can't remember the name of right now. Fredshot had one. and then, to me, most recently was Data Databricks that had Omnigen. All these are meta harness. Like it's kinda pseudo agent cloud type things.Akshat [00:45:50]: I personally have not played around with them.Swyx [00:45:53]: Yeah.Akshat [00:45:53]: Build agents with them.Swyx [00:45:54]: Everything's bullish Modal, as long as it consumes more infra.Akshat [00:45:57]: That's why we're focusing on the infra layer. It's somewhere where our, relative competence is and, also it's a hard problem to solve.Swyx [00:46:06]: Yeah. I will say like just generally reflecting on that, I don't know if - if there's other topics on Modal, but like just generally reflecting as an infra person, not as intense as you, but in that field, this has like been the most exciting time in infra. Like it was boring for a while, and you couldn't really get people excited about data infrastructure. Like Eric would get on Data Console, everyone just watched the video and like say, “Look at how many sandboxes I can spin up,” and no one gave a crap.Why Infrastructure Became Exciting AgainAkshat [00:46:39]: Yeah.Swyx [00:46:40]: And like now everyone gives a crap.Akshat [00:46:42]: That's true. It is a very exciting time, and I think a lot of that's driven by just the amount of scale all of this stuff needs.Swyx [00:46:50]: I think the, like a lot of your initiatives or a lot of your like product directions make sense in retrospect, which is like the best kind, but I wouldn't necessarily have thought about it myself, which.Akshat [00:47:00]: We need the predictions.Swyx [00:47:02]: I think there's a lot that you just don't even see, right? Like you have the batch, you have the voice, you have the multimodal, but what else?Akshat [00:47:10]: What else is coming up for usSwyx [00:47:11]: Yeah. Where do you see things going?Akshat [00:47:13]: Yeah. I, in generalBiotech, Robotics, and Non-LLM AI WorkloadsAkshat [00:47:15]: It's it's clear that there's there's a huge shift happening. I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also we work a lot of companies that are, doing things like drug discovery and computational bio, like the Chai Discoveries of the world. Big things are probably gonna happen there. we work a lot of robotics companies that are putting robots in like active deployments and getting good results out of them.Swyx [00:47:45]: Is there Air Gap Modal? Is there a version that is like prem air gapped whatever?Akshat [00:47:50]: No. We,Swyx [00:47:51]: You should cloud only.Akshat [00:47:51]: Yeah.Swyx [00:47:52]: Yeah. Okay. But yeah, so what you're saying is like because you're focused on primitives and they're good primitives, you find use cases in all these kinds of things.Akshat [00:48:01]: Yeah.Swyx [00:48:01]: Probably diversifies you a little bit away from LMS all the time.Akshat [00:48:05]: Yeah, absolutely. We're, we'- our goal isn't to only serve the LLM inference market.Swyx [00:48:10]: There are a lot just on the website, the audio,Akshat [00:48:12]: Yeah. We said both onSwyx [00:48:14]: Computational bio images. Yeah, there's a lot here. There's QTA TTS, customizing. Oh, Chatterbox. there was customizing Whisper.Akshat [00:48:24]: Okay. Yeah.Swyx [00:48:25]: This screen reminds me of a fallen competitor, which Replicate.Model APIs vs. Differentiated AI ProductsSwyx [00:48:31]: What's your postmortem on what happened?Akshat [00:48:34]: This is one thing we've stayed away from is providing an API for models because I think providing model APIs is some of it ends up serving like a really hobbyist market, which is much less sticky.Swyx [00:48:50]: Yeah.Akshat [00:48:50]: And we've always wanted to build for companies that are building products and need more flexibility that's not just an API.Swyx [00:48:57]: Which you can build an API for a model and this is clearly what it is. But you - but what you're saying, you can wrap it into a more fully functioning back end that you run.Akshat [00:49:06]: Yeah. So all of our examples, it's not that spin up this model, here's an API token, use it. They're all code.Swyx [00:49:13]: Okay.Akshat [00:49:13]: And so the point is that this is just an example.Swyx [00:49:16]: Starter code.Akshat [00:49:17]: Yeah. But you can tweak it however you want.Swyx [00:49:20]: Yeah.Akshat [00:49:21]: And if you're like a company building a product, like, computational bio whatnot, yeah.Swyx [00:49:26]: I guess I'm trying to tease out for listenersAkshat [00:49:28]: YeahSwyx [00:49:28]: When does it stop becoming, oh, you're just an API call and you're just a wrapper on API to becoming what you call a product, right?Swyx [00:49:36]: Like, what is that layer? Like what-- Like, more lines of code, but like beyond that, what is the substance that people add that qualifies it to be something more?Akshat [00:49:46]: I think there's a little bit of like a selection effect of like a lot of the companies who do wanna get deeper into that level are probably building something that's more differentiated. And, I think, an example is like - with LLM inference, originally we, worked with companies that were building their own post-training frameworks or they were, - Ramp early in the day was training their own tokenizer and like swapping out the tokenizer in Llama and whatnot. I'm not saying that's, that successful, in that case. But a better example is like, let's say Suno. because Suno, does not use Modal for training.Swyx [00:50:26]: Mikey on the pod. Yeah.Akshat [00:50:27]: But they use Modal for all their inference and that's because they have like a custom-- They have completely custom model architecture and that means that they have to be at the code level and tweak things that are not, just an API.Swyx [00:50:41]: It's interesting as well, like we had, Ethan, most recently on the xAI Groq team make a prediction that like the next tier in video gen is not a better video model, it's a better model or agent that orchestrates video models.Video Agents and Production WorkflowsAkshat [00:50:56]: Oh, interesting.Vibhu [00:50:56]: Language model backbone that can use toolsAkshat [00:50:58]: RightVibhu [00:50:59]: And write code.Akshat [00:51:00]: Like, yes, I can make my second video or my second video from Groq, but I want my minute video.Akshat [00:51:06]: And I'm not going there through normal video gen.Swyx [00:51:10]: Yeah, that's interesting. I - So we have GPU sandboxes and recently have seen a few companies doing agents that do video manipulation or,Akshat [00:51:22]: Yeah. Give it FFmpeg and just do it.Swyx [00:51:23]: Run FFmpeg. But likeAkshat [00:51:25]: That's not enough.Swyx [00:51:25]: Yeah.Akshat [00:51:26]: You need to give it Adobe.Swyx [00:51:27]: Yeah, I hadn't put it together with like it would be a video production thing. in my mind these things were going more towards editingAkshat [00:51:36]: Yeah.Vibhu [00:51:36]: Well, shout out Mantis.Akshat [00:51:37]: I think about this a lot.Swyx [00:51:38]: .Akshat [00:51:41]: Yeah. Sorry.Vibhu [00:51:41]: Luma. Luma Agent is a version of this for video production, but it's a off.Swyx [00:51:46]: I was gonna get your quick takes, on some other stuff that happensGitpod/Ona, CI, and Runtime SandboxesSwyx [00:51:50]: In recent news and just-just see if you have anything interesting. Gitpod, very li
Missouri Governor Mike Kehoe (R) made $53-million in line-item budget vetoes in June. Governor Kehoe joined Randy Tobler and Stephanie Bell live on 939 the Eagle's "Wake Up Missouri" this morning, telling listeners he has to make tough decisions because Missouri requires a balanced budget. The governor is also ruling out calling a special session on data centers:
From Trying To Trusting #Nightlight #RTTBROS Isaiah 40:31:"But they that wait upon the Lord shall renew their strength; they shall mount up with wings as eagles; they shall run, and not be weary; and shall walk, and not faintAt night as the world begins to quiet down, we often find ourselves in a state of exhaustion. We've run our race, we've faced our battles, and sometimes, we feel utterly drained. We look at the calendar and see another day looming, and the weight of it can feel heavy.But tonight, I want to talk about a different kind of energy, an energy that doesn't come from caffeine or sheer willpower. It's about being continually refueled. And the promise of that renewal is found in the Word of God.Let's look at a powerful promise from the book of Isaiah. The King James Version says in Isaiah 40:31:"But they that wait upon the Lord shall renew their strength; they shall mount up with wings as eagles; they shall run, and not be weary; and shall walk, and not faint."Notice the key phrase here: "Wait upon the Lord." This isn's not passive waiting, like waiting for a bus. It is an active, expectant waiting. It is leaning into God, trusting Him, and allowing Him to be the source of your power.To help us understand what this renewal looks like, I want to share a short illustration.Think about the great preacher Charles Stanley. He often spoke about the difference between the trying and trusting. He would tell us that many people try to live life like a machine. They try to push themselves, they push their own limits, they try to be the engine of their own life. They run until they are broken. They run until they are exhausted.But Stanley would tell us, "My brothers and sisters, you cannot run on your own strength. You are not a machine. You are a vessel. And a vessel needs to be filled."He would tell us that the Christian life is not about trying to be strong; it is about waiting on the One who is infinitely strong. He would say in essence "When you are tired, when you are weary, that is not the time to push harder. That is the time to stop. That is the time to look up. That is time to remember that the One who is the Eagle. That One who can lift you up."That is the difference. The difference between the trying and trusting. Tonight, as you prepare for sleep, I invite you do this: Stop trying to solve tomorrow's problems in your head. Stop trying to force yourself to be okay. Instead, pause. Breathe. And consciously "wait upon the Lord."Ask Him to renew your strength. Ask Him to lift you, not just to survive the day, but to soar with wings like an eagle. Let Him take the weariness from your shoulders and replace it with His enduring power.May the peace of God, which passes all understanding, guard your heart and mind. Sleep well, and may you wake up renewed.
Welcome to The Eagle's View - Summer Edition!Just because school is out does not mean that the students of Emerson School in Ann Arbor, MI are taking a break. The Show Must Go On!Join Emmi and Wasay as they host this episode. You will hear about Disney Movies, Disney World, Books and Movies Recommendations, The Descendants Debate, and as always, The Joke of the Week!Check out Zebonky right here!https://zebonky.com/Thank you for listening to The Eagles View. Be sure to like, follow, and share our podcast with your friends and family.And don't just listen—leave us a comment! We'd love to hear your thoughts, your favorite part, or even your own joke of the week.New episodes come out every Wednesday—even during summer break. Plus, The Eagle's View Presents will be returning for Season 4 every Monday this fall.New 8th graders - Same YappingBe sure to check out our new merchandise on The Emerson School Store website below.https://apparelnow.com/emerson-school-store-apparel/Follow on social media too!https://www.facebook.com/theemersonschool/https://www.instagram.com/emersonschool/Thanks for hanging out with us, and remember—Eagles always soar!
Can you tell which of the patients is pretending and which is the real one? At first glance all these people look innocent but are they really? Pay attention to the slightest detail and you'll crack this riddle. The key to the quickest riddle-solving technique is attention, concentration and ability to think outside the box. Are you ready to meet this challenge? You can solve all of these 15 riddles only if you have an Eagle eye. Be attentive and try to unlock your inner Sherlock. You can do it! Get smarter and raise your IQ with each riddle. Learn more about your ad choices. Visit megaphone.fm/adchoices
SIMPLER PODCAST WEBSITE - thefour56.org/simplersubscribe, follow & leave reviews plsHosts: Ryan Dalgliesh, Pierce Love and Micah Marianocheck out the Simpler podcast (@simplerpod) on the social platform of your choice if it's fb or instasee what's happening in our personal/disc golf/art lives @piercelove_ @micahmariano @rtdalglieshfineartSIMPLER BIBLE - https://www.simplerbible.com/RYAN'S ART - https://rtdalglieshfineart.comMICAH'S SITE - https://micahmariano.com/MICAH'S WOODWORKING - https://audaxwoodworks.com/EAGLE'S WINGS - https://facebook.com/eagleswingsdiscgolfTHE FOUR56 CHURCH - https://theFour56.org
Dr. Crane acts out a first person presentation of the relationship between Joseph and his brothers from Genesis 37. We can learn from this story the importance of replacing envy and selfishness with being other-focused and practicing the fruits of the Spirit.
This Independence Day, Rodes takes listeners on a personal journey unlike any other."Born on the 4th of July: A Marine's Diary" is a firsthand account of what it takes to earn the title of United States Marine. From the moment the footprints hit the yellow footprints, this episode walks listeners through every phase of Marine Corps Boot Camp—from the physical challenges and mental pressure to the discipline, camaraderie, and transformation that define the experience.Rodes shares stories, memories, and lessons learned during recruit training, giving civilians an inside look at one of the toughest military training programs in the world while allowing fellow veterans to relive moments they'll never forget.In this episode you'll hear about:The decision to join the United States Marine CorpsArriving at Recruit Training and the first shocking momentsThe mental and physical demands of boot campDrill Instructors and the discipline they instillPhysical fitness, obstacle courses, and field trainingMarksmanship and rifle qualificationTeamwork, leadership, and Marine Corps valuesThe Crucible and earning the Eagle, Globe, and AnchorGraduation Day and what it truly means to become a MarineLife lessons that continue long after leaving boot campWhether you're a veteran, active-duty service member, future recruit, military family member, or simply curious about the Marine Corps, this episode offers an authentic look into one man's journey from civilian to Marine.Semper Fidelis.
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Kathleen opens the show drinking a Salty Golfer Pineapple Blonde ale from Grand Strand Brewing Company in Myrtle Beach, SC. She reviews her weekend in Knoxville with 2 sold out shows and her first steamed sandwich at Gus's Good Times Deli. TOUR NEWS: See Kathleen live on her “Day Drinking Tour.” TASTING MENU (1:20): Kathleen samples Chili Cheese Dog Cheez-Its, Miller Lite Beer-Braised Steak Pringles, and Firecracker Pop Oreos. QUEEN NEWS (17:04): Kathleen shares that Dolly Parton attended the opening of her Dolly's Tennessean Travel Stop, Stevie Nicks will sing at Taylor Swift's upcoming wedding, and Post Malone brought many special guests to the Nashville date of his Big Ass Stadium Tour. HOLLYWOOD HAPPENINGS (25:54): HollyBobby provides the latest news in Hollywood. UPDATES (35:12): Kathleen shares updates on the latest Nancy Guthrie ransom note, another missing scientist has been found dead under unexplained circumstances, Everest sherpas are calling for change, and Primm Nevada finds a lifeline to stay operating. HOLY SHIT THEY FOUND IT (48:32): Kathleen reads about the discovery of a previously-determined-to-be-extinct pink fairy armadillo in Argentina. WHAT ARE WE WATCHING (1:15:36): Kathleen recommends watching Season 3 of the Dallas Cowboy's Cheerleaders documentary “America's Sweethearts” on Netflix. SPORTS NEWS (50:14): Kathleen reports on Argentinian World Cup fans adopting an Austrian dwarf fan as their mascot king, Ghana has a witch doctor who has been making bold World Cup predictions, and Buffalo Bills fans are upset at the initial ticket prices offered in their new stadium. FRONT PAGE PUB NEWS (58:45): Kathleen shares articles on Mexico's “Batman” capturing motorcycle thieves, Dunkin' Donuts unveils a limited edition Eagle cup to compete with Starbucks bear cup, Paris has closed the Eiffel Tower and Louvre as France experiences record high temps, new magic mushrooms make users see tiny “gnome” people, tech company Commodore is bringing back the flip phone, and Northern snakehead fish can walk and breath air and are invading many US states. SPANISH PHRASE OF THE WEEK (1:11:22): The Spanish phrase to learn this week is “hay un cocodrilo en el agua” or “there is a crocodile in the water” in English. SAINT OF THE WEEK (1:19:50): Kathleen reads about St. Simeon the Stylite, patron saint of shepherds. FEEL GOOD STORY (1:16:58): Kathleen shares a story of a shepherd mutt named Storm who made her way into LA's Sofi Stadium to see Metallica live.
Charlie Eisenhood and Josh Mansfield discuss the return to the top of a DGPT event from Eagle McMahon and look at some of what happened around the last time Eagle won at the 2022 European Open.
Will Sofrin returns to the podcast to talk about his new book on the USCG EAGLE tall ship. Will, a former "yachtie" turned tallship sailor, first came on the show back in 2023 to talk about delivering the ship used in the film Master & Commander, which became the subject of his first book, "All Hands on Deck," which I LOVE and which has a place in FALKEN's onboard library. This time we talked about his budding career as a writer since the success of that first book, the incredible Nazi history of the EAGLE and about leadership in the wider context. -- Support the podcast & become a member of The Quarterdeck, where Andy, August & Mia dive deep on the art of seam'nship. Nerd out with us on our members-only forum and talk boats, gear, safety-at-sea, meet like-minded sailors, find crew, and more. Check it out on quarterdeck.59-north.com. See you there! -- This season of ON THE WIND is supported by our friends at Schooner Woodwind and BVI Yacht Sales. Support the show by supporting our sponsors!