Podcast appearances and mentions of alexandria ocasio cortez

As Congress races toward the August recess, one bipartisan bill is glaringly missing from the House agenda. The Defiance Act, co-sponsored by Rep. Alexandria Ocasio-Cortez, passed the Senate unanimously, so what's the hold up in the Senate? Meanwhile, President Donald Trump announced a new round of tariffs on Canada. Are they a key negotiating chip or a political liability headed towards the midterms?  For more news and analysis, subscribe to the Playbook newsletter: politico.com/playbook 

The director of the Smithsonian's National Museum of American History faces a contentious congressional hearing over accusations that the taxpayer-funded institution promotes left-wing ideology and downplays the nation's founding. Democrat Congresswoman Alexandria Ocasio-Cortez leaves the door open to a 2028 presidential run as her national campaigning and increasingly Obama-like rhetoric fuel speculation. The Pentagon identifies three American soldiers killed in the renewed conflict with Iran as CBS News reports nearly 100 other service members have been injured. New Jersey Governor Mikie Sherrill reveals that a software error improperly registered roughly 6,600 non-citizens to vote, and approximately 400 casting ballots.   Birch Gold: Text MK to 989898 and get your free info kit on gold   Lean: Discover why LEAN is becoming the choice for real weight‑loss results—shop now at https://TAKELEAN.com use code MK. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Marvel villain or Iranian sleeper asset? Mayor Zohran Mamdani's radical New York City takeover promises free everything and delivers nothing — classic communism. Mamdani sold voters on fixing New York, but now he's consumed with international criminal courts, arresting Israeli Prime Minister Benjamin Netanyahu, meeting Iranian officials, and foreign policy battles that aren't a mayor's job. For years, Democrats called noncitizen voting a conspiracy theory, until New Jersey admitted that 6,600 noncitizens were registered. Now, instead of addressing the election integrity concerns, Governor Mikie Sherrill (D) is dismissing the issue and somehow finding a way to blame President Trump. CNN Is going even further and running cover for the illegal aliens voting in our elections. The entitlement epidemic is here. A family dines and dashes, laughs about it afterward, and acts like they're the real victims as Democrats like AOC encourage the criminal behavior. Ben & Jerry's wants you to eat their ice cream and swallow their ideology that comes with it. But now the company's woke agenda is facing a showdown with its own parent company. ► Catch up on my H-1B visa investigations: https://www.youtube.com/playlist?list=PLkJEwf2wliqrtNlYs9D78nmE_Gnja_PpC ► Email me at saratips@blazemedia.com if you have uncovered potential fraud in your area. ► Subscribe to my second YouTube channel: https://www.youtube.com/@SaraGonzalesTX?sub_confirmation=1 ►BLAZETV Join BlazeTV today at BlazeTV.com/SARA and get $20 off right now. 0:00 - Who Does Zohran Mamdani REALLY Work For? 16:37 - New Jersey's 6,600 Noncitizen Voters 31:37 - Entitled Dine-and-Dashers 40:25 - Ben & Jerry's Big Mad Can't Push Wokeism Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to The Majority Report On today's program: The House will vote on the National Defense Authorization Act today which includes the enmeshing of the Israeli and American militaries. Tell your Senators to block the NDAA until it is stripped of this proposal. At an appropriations committee hearing, Secretary of Defense Pete Hegseth, dripping in flop sweat, grows increasingly defensive as he is questioned about the quagmire he coaxed Trump into starting in Iran. Hegseth tries to claim that Senator Gary Peters (D-MI) labeling this war a failure is an indictment of the troops to which the Senator clarifies that is Hegseth who is the failure, not the servicemembers. Hegseth tried to scapegoat the Biden administration, but Senator Jack Reed (D-RI) reminds him that the Strait of Hormuz never closed during the previous presidencies. Ken Klippenstein, independent journalist covering security and U.S. politics at KlipNews on Substack, joins the program to talk about the Trump administration's efforts to shut down all dissent from the left. In the Fun Half: Comedian and podcaster Francesca Fiorentini joins. If you live in Minneapolis grab tickets to see the Bitchuation Room live at the Parkway. Krystal Ball debates top house Democrat, Rep. Adam Smith (D-WA) over Israel and the DSA. Meghan McCain warns that the GOP are not taking Zohran Mamdani seriously and that he will be the kingmaker of the Democratic Party. AOC wonders if Mark Zuckerberg, Elon Musk, or Peter Thiel would want an AI data center in their own backyards? Troy Jackson has effectively secured the Democratic nomination for Senate in Maine, and the media is already trying to slander him over his temper. all that and more. To connect and organize with your local ICE rapid response team visit ICERRT.com The Congress switchboard number is (202) 224-3121. You can use this number to connect with either the U.S. Senate or the House of Representatives. Follow us on TikTok here: https://www.tiktok.com/@majorityreportfm Check us out on Twitch here: https://www.twitch.tv/themajorityreport Find our Rumble stream here: https://rumble.com/user/majorityreport Check out our alt YouTube channel here: https://www.youtube.com/majorityreportlive Gift a Majority Report subscription here: https://fans.fm/majority/gift Subscribe to the AM Quickie newsletter here: https://am-quickie.ghost.io/ Join the Majority Report Discord! https://majoritydiscord.com/ Get all your MR merch at our store: https://shop.majorityreportradio.com/ Get the free Majority Report App!: https://majority.fm/app Go to https://JustCoffee.coop and use coupon code majority to get 10% off your purchase Check out today's sponsors: ZOCDOC: Get 15% off OneSkin with the code MAJORITY at https://www.oneskin.co/majority SUNSET LAKE CBD: Use coupon code "Left Is Best" (all one word) for 20% off of your entire order at SunsetLakeCBD.com.  Follow the Majority Report crew on Twitter: @SamSeder @EmmaVigeland @MattLech On Instagram: @MrBryanVokey Check out Matt's show, Left Reckoning, on YouTube, and subscribe on Patreon! https://www.patreon.com/leftreckoning Check out Matt Binder's YouTube channel: https://www.youtube.com/mattbinder Subscribe to Brandon's show The Discourse on Patreon! https://www.patreon.com/ExpandTheDiscourse Check out Ava Raiza's music here! https://avaraiza.bandcamp.

Troy Jackson locks down the nomination to replace Graham Platner in Maine, Wisconsin's gubornatorial primary devolves into chaos as the governor wades in with an unexpected endorsement, and Bernie Sanders and Alexandria Ocasio-Cortez rally in Michigan with Abdul El-Sayed, who's locked in a heated race with Haley Stevens. Jon, Tommy, and Lovett discuss all the latest from this summer's wild Democratic primaries, Donald Trump's embarrassing showing at the World Cup final, the deadly escalation of war with Iran, and a recent slate of ICE killings that show nothing has gotten better at the Department of Homeland Security — it's just gotten quieter.For a transcript of this episode, please email transcripts@crooked.com

Meet my friends, Clay Travis and Buck Sexton! If you love Verdict, the Clay Travis and Buck Sexton Show might also be in your audio wheelhouse. Politics, news analysis, and some pop culture and comedy thrown in too. Here’s a sample episode recapping four takeaways. Give the guys a listen and then follow and subscribe wherever you get your podcasts. Clay Travis and Buck Sexton talk about how the Democratic Party is experiencing a demographic and ideological divide. They argued that the party’s most vocal socialist activists are disproportionately white, college-educated, and affluent, while many Black and Hispanic voters hold more practical and transactional political priorities centered on issues such as healthcare, affordability, public safety, and economic opportunity. The discussion explored whether the far left is merely influencing the party or has become an increasingly mainstream force within Democratic politics. The hosts tied this debate to broader national issues including immigration policy, open borders, Israel, transgender politics, and the rise of democratic socialism. They also briefly noted Arizona’s primary election and discussed its significance in the national political landscape, particularly regarding the future of Governor Katie Hobbs. Clay and Buck devoted considerable attention to the potential safety benefits of autonomous driving technology. They discussed the approximately 40,000 annual traffic fatalities in the United States and suggested that self-driving systems could dramatically reduce accidents caused by human error, particularly among young drivers. The hosts compared the coming transportation revolution to the transition from horses to automobiles in the early twentieth century, arguing that autonomous vehicles could become one of the most transformative technological developments of modern times. They also discussed how self-driving technology could eventually reduce teenage driving fatalities, improve traffic flow, lower insurance costs, and improve overall road safety. The conversation then expanded into a broader discussion about why Democrats lost recent elections and who may lead the party in the future. Clay argued that today’s Democratic Party has moved substantially leftward compared to the Democratic Party of Bill Clinton, Al Gore, or even Barack Obama. The hosts suggested that Democratic leaders continue to misdiagnose voter dissatisfaction by blaming messaging failures instead of addressing policy positions that many voters reject. They debated possible future Democratic presidential contenders, including Kamala Harris, Alexandria Ocasio-Cortez, and Kentucky Governor Andy Beshear, while emphasizing that they see the Democratic leadership vacuum as one of the most intriguing political stories heading toward the next presidential election cycle. An extensive interview with Treasury Secretary Scott Bessent, who discussed a number of major economic and policy initiatives. Bessent highlighted the administration’s “Trump Accounts” program, which provides investment opportunities for young Americans and newborn children. He explained how government-seeded investment accounts, combined with family contributions and private-sector philanthropy, could potentially grow into significant financial assets over time. The discussion focused on wealth building, financial literacy, investment growth, family savings strategies, and long-term economic opportunity for American children. Bessent also provided an update on the U.S. economy, discussing inflation, energy prices, tax relief measures, and working-family economic policies. He argued that inflation pressures caused during the Biden administration continue to affect household budgets but maintained that underlying economic conditions remain strong. He highlighted tax policies including no taxes on tips, no taxes on overtime pay, Social Security tax relief, and deductions tied to American-made vehicles. The secretary emphasized that many of these benefits are targeted toward middle-class and working-class Americans. Foreign policy and national security were another major theme of the interview. Bessent discussed efforts to track, freeze, and recover assets connected to Iran’s ruling regime and the Islamic Revolutionary Guard Corps. He described ongoing investigations into Iranian financial networks, frozen cryptocurrency wallets, luxury properties, and what he characterized as widespread corruption among Iranian leadership. The secretary argued that economic sanctions and financial pressure complement military actions against Iran and are designed to weaken the regime while preserving assets for the Iranian people. The conversation also touched on government efficiency, fraud prevention, and taxpayer protection. Bessent explained how enhanced coordination between federal payment systems and anti-fraud databases has helped the Treasury Department identify and block payments being sent to individuals who were deceased. He described efforts to modernize federal systems and reduce waste, fraud, and abuse in government spending programs, claiming that hundreds of millions of dollars in improper payments could ultimately be prevented. South Carolina politics briefly entered the discussion when Clay asked Bessent about the late Senator Lindsey Graham and speculation surrounding Graham’s sister as a potential candidate. Bessent praised Graham’s service, commented on the competitive Republican primary developing in South Carolina, and reiterated that he intends to remain focused on his current role as Treasury Secretary rather than pursuing elected office. The interview concluded with a lighthearted exchange about President Donald Trump’s late-night phone calls and work habits. Make sure you never miss a second of the show by subscribing to the Clay Travis & Buck Sexton show podcast wherever you get your podcasts! ihr.fm/3InlkL8 For the latest updates from Clay and Buck: https://www.clayandbuck.com/ Connect with Clay Travis and Buck Sexton on Social Media: X - https://x.com/clayandbuck FB - https://www.facebook.com/ClayandBuck/ IG - https://www.instagram.com/clayandbuck/ YouTube - https://www.youtube.com/c/clayandbuck Rumble - https://rumble.com/c/ClayandBuck TikTok - https://www.tiktok.com/@clayandbuck YouTube: https://www.youtube.com/@VerdictwithTedCruzSee omnystudio.com/listener for privacy information.

The fellas break down AOC's insane fake accents on the campaign trail, the Democratic Socialists' growing influence, the latest chaos in the Maine Senate race, and the voter ID debate. Plus, sit down with Sen. Bill Hagerty for an inside look at Iran, the midterms, and the future of the Republican agenda. #aoc #Senatedemocrats #congress #Iran #MAGA00:03:25 AOC's Campaign Trail Code-Switching Under Fire 00:09:25 AOC Targets the Filibuster and the U.S. Senate 00:13:41 Why Democratic Socialists Want to Abolish the Senate 00:18:46 The 'Global South' Agenda and the Democratic Party's Shift 00:27:08 Maine Democrats' Search for a Graham Platner Replacement Goes Off the Rails 00:38:34 Olive Garden's Pasta Pass Sparks a Voter ID Debate 00:42:07 Mark Warner Stumbles on Voter ID 00:55:29 Senator Bill Hagerty on Iran, Trump, and America's Next Move 01:05:06 Can Republicans Hold the House and Senate in the Midterms? 01:11:59 Chuck Schumer, Government Shutdowns, and the Democrats' Strategy 01:21:13 Senator Hagerty's Final Take on Iran and the 2026 Election Outlook Learn more about your ad choices. Visit podcastchoices.com/adchoices

Mayor Zohran Mamdani is sticking to his promise to arrest Benjamin Netanyahu. Donald Trump fired back, saying no one is going to arrest Netanyahu. BEBE himself also responded to Mamdani. Mark explains that if Mamdani actually tried to arrest Netanyahu, he could face legal trouble himself. Mark also points out that Alexandria Ocasio-Cortez using a Southern accent when campaigning is normal; many politicians do this, especially those who have run campaigns in the South, so it's not unusual.  Mark interviews Boston radio host Howie Carr. They try to make sense of Senator Susan Collins' argument against Maine voters. Howie suggests Collins might be suffering from “Trump Derangement Syndrome.” Former Maine senator Troy Jackson is expected to run against Collins, and Howie says both have Democratic-leaning views, which he thinks aren't good for Maine. They two also discuss the latest in Maine politics, including Graham Plattner dropping out of the race. The question comes from Mark: should the voting age be raised to 40 to keep younger politicians like Mamdani out of office? Mark looks at how much you have to earn to be in the top 1% in America; it's less than you'd expect. Miami has now passed New York as one of the most expensive cities to live in. A federal judge has temporarily stopped Paramount from buying Warner Bros. Gasoline prices are up after a spike in oil prices. Mark interviews streaming host Bill O'Reilly. They talked about how writer George Will got too close to the Reagans and how that hurt his reputation. Bill said reporters can run into trouble if they get friendly with politicians. The guy's covered Bill Maher's NPR interview, where Maher ripped NPR for being too left-wing and sparked debate. Bill thought the World Cup went great for the U.S. with no big problems, and said Republicans could win the midterms if they keep the focus on fighting socialism.See omnystudio.com/listener for privacy information.

Mayor Zohran Mamdani is sticking to his promise to arrest Benjamin Netanyahu. Donald Trump fired back, saying no one is going to arrest Netanyahu. BEBE himself also responded to Mamdani. Mark explains that if Mamdani actually tried to arrest Netanyahu, he could face legal trouble himself. Mark also points out that Alexandria Ocasio-Cortez using a Southern accent when campaigning is normal; many politicians do this, especially those who have run campaigns in the South, so it's not unusual. See omnystudio.com/listener for privacy information.

Mayor Zohran Mamdani is sticking to his promise to arrest Benjamin Netanyahu. Donald Trump fired back, saying no one is going to arrest Netanyahu. BEBE himself also responded to Mamdani. Mark explains that if Mamdani actually tried to arrest Netanyahu, he could face legal trouble himself. Mark also points out that Alexandria Ocasio-Cortez using a Southern accent when campaigning is normal; many politicians do this, especially those who have run campaigns in the South, so it's not unusual.  Mark takes your calls!  Mark interviews Boston radio host Howie Carr. They try to make sense of Senator Susan Collins' argument against Maine voters. Howie suggests Collins might be suffering from “Trump Derangement Syndrome.” Former Maine senator Troy Jackson is expected to run against Collins, and Howie says both have Democratic-leaning views, which he thinks aren't good for Maine. They two also discuss the latest in Maine politics, including Graham Plattner dropping out of the race. The question comes from Mark: should the voting age be raised to 40 to keep younger politicians like Mamdani out of office?See omnystudio.com/listener for privacy information.

In this episode of The Joe Concha Show, Joe breaks down the dangerous consequences of extreme anti-ICE rhetoric from politicians like AOC and Hakeem Jeffries following the detonation of an explosive device outside a New York City federal building. He explores the Democratic party's shift towards socialism, praising Bill Maher for bucking the radical left and even admitting he'd consider voting for JD Vance. Joe also draws a hilarious parallel between The Dark Knight Rises villain Bane and the modern socialist agenda, roasts Gavin Newsom for a gaffe where he claimed he "can't read", and calls out the blatant hypocrisy of "man of the people" Bernie Sanders flying private.

The Morning XTRA with Tug and Los delivers conservative talk on the biggest political, cultural, and news stories of the day. Smart analysis, unapologetic opinions, and real conversations every weekday morning. Every weekday from 6a to 10a! Tug and Los discuss the growing divisions within the Democratic Party, why they believe the Left is increasingly at war with itself, and what a potential Kamala Harris–Alexandria Ocasio-Cortez ticket could mean for the 2028 election. The guys also welcome radio legend Neal Boortz and Republican U.S. Senate nominee Mike Collins to the show, breaking down the latest political battles in Washington and Georgia. On today's show:• The culture war is far from over• Anna Paulina Luna and Tug find common ground on Chinese visa policy• David Hogg's support of the Democratic Socialists of America• Why is the Left willing to overlook Nazi symbolism?• Western Society is on the ropes in Europe• What today's Democratic Party says about the future of American politics Watch The Morning Xtra every weekday from 6 a.m. to 10 a.m. on the Xtra 106.3 YouTube or listen on the Xtra 106.3 App

The Morning XTRA with Tug and Los delivers conservative talk on the biggest political, cultural, and news stories of the day. Smart analysis, unapologetic opinions, and real conversations every weekday morning. Every weekday from 6a to 10a! First thing to know: Why are you getting a Kamala-AOC ticket and not an Emmanuel-Fetterman ticket in 2028? Neal Boortz joins the show Atlanta's ONLY All Conservative News & Talk Station.: https://www.xtra1063.com/See omnystudio.com/listener for privacy information.

Mark Haughwout joins Jeff to talk about a black bear wandering into his neighborhood and why feeding wildlife puts both people and animals at risk. Plus, Election Day is tomorrow with a reminder to get out and vote, Arizona's monsoon rains bring welcome relief and lift many fire restrictions, the debate over voter ID expands from restaurants to business filings, the FDA reverses course on a reported lettuce contamination after a false positive, Alexandria Ocasio-Cortez fuels more 2028 presidential speculation, a youth baseball parents' brawl raises questions about sportsmanship, and Flagstaff prepares for higher downtown parking rates beginning August 1.

Megyn Kelly discusses new reporting that Kamala Harris is preparing for a 2028 presidential run, reports that Democratic insiders are encouraging another campaign despite her 2024 defeat, her outreach to progressive leaders now, AOC trying to sound like Barack Obama on the campaign trail, her new accent at a campaign stop in the south, whether she has a shot to be the 2028 nominee, the Democrats' search for a new Senate candidate in Maine following Graham Platner's exit, the truth about "Ashley Webb" and his shocking past social media posts, why Democrats are slipping in the 2026 polls, the controversial comments from prominent DSA leaders, Mamdani's NYC failures, a bizarre moment between Joe and Jill Biden during a stop on Jill Biden's book tour, Jill talking to Joe like he's a child, Michelle Obama's latest example of narcissism and victimhood, her reframing of how she was actually treated as First Lady, her own focus on talking about her "Look" but anger that others talk about how she looks, the police bodycam footage involving Sunny Hostin trying to use "Harvard" and "TV star" privilege to help her son out of a minor ticket, Hostin pushing her own background as a prosecutor during the interaction, the underwhelming World Cup halftime show, the phoned in performances from Madonna and BTS, Shakira delivering the standout performance of the night, and more.   Supersure Insurance: Upgrade your business insurance to a year-round SuperAgency at https://Supersure.com/Megyn Byrna: Go to https://Byrna.com or your local Sportsman's Warehouse today. Herald Group: Learn more at https://GuardYourCard.com American Financing: Call American Financing today to find out how customers are saving an average of $800/mo. NMLS #182334 https://nmlsconsumeraccess.org. APR for rates in the 5s start at 6.327% for well qualified borrowers. Call 800-852-2010 for details about credit, costs and terms. Visit https://AmericanFinancing.net/MegynKelly . Average savings based on borrowers who save over $199.99     Follow The Megyn Kelly Show on all social platforms: YouTube: https://www.youtube.com/MegynKelly Twitter: http://Twitter.com/MegynKellyShow Instagram: http://Instagram.com/MegynKellyShow Facebook: http://Facebook.com/MegynKellyShow Find out more information at:https://www.devilmaycaremedia.com/megynkellyshow Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mayor Zohran Mamdani's socialist/communist agenda isn't stopping in New York City. As Democrats embrace their new world order, billionaires flee, radicals grow louder, and even Bill Maher is sounding the alarm that the party is heading toward communism. The Democrats' biggest problem isn't Republicans; it's the microphone. From AOC's accent switch-up to James Talarico's awkward town hall and Don Lemon's 2028 dreams, the party's messaging is becoming its own worst enemy. Sunny Hostin of “The View” says “no one is above the law” — until her own family is in trouble. After her son was busted trespassing, her actions cemented her as a massive hypocrite when she tried to wield her privilege to get him out of trouble. Democrats talk nonstop about inclusion, but they were too transphobic to elect Maine Senate candidate Ashley Webb. But there's a new conspiracy theory that he might have just been the old candidate in disguise. ► Catch up on my H-1B visa investigations: https://www.youtube.com/playlist?list=PLkJEwf2wliqrtNlYs9D78nmE_Gnja_PpC ► Email me at saratips@blazemedia.com if you have uncovered potential fraud in your area. ► Subscribe to my second YouTube channel: https://www.youtube.com/@SaraGonzalesTX?sub_confirmation=1 ► Patriot Mobile Go to https://www.PatriotMobile.com/SARA or call 972-PATRIOT. Use promo code SARA for a FREE MONTH of service. 0:00 - Zohran Mamdani's United States of Communism 22:06 - AOC's New Accent Unlocked 35:43 - Sunny Hostin Wields Her Privilege 44:19- Ashley Webb and Graham Platner Twins? Learn more about your ad choices. Visit megaphone.fm/adchoices

You need to see this before the next election: Olive Garden just exposed the hypocrisy on election security in the funniest way possible. The White House roasted Democrats after Olive Garden announced that its $100 Never-Ending Pasta Pass requires a valid photo ID every single time of use. The passes are personalized, non-transferable, and strictly enforced. Yet the same people who think that's perfectly reasonable fight like hell against basic voter ID for actual elections. Pat tears into the double standard and shows why this one hits so hard. Regular Americans live with common sense every day — you need an ID to buy beer, fly on a plane, check into a hotel, or pick up medicine. But somehow proving who you are to vote is treated like an impossible burden by some politicians. This Olive Garden pasta pass ID policy perfectly proves the elite hypocrisy and institutional failure we have all been seeing. Pat also covered: AOC is back and backing El-Sayed for Congress. Congrats to Spain for taking the W on the FIFA World Cup. Another round of attacks against Iran — what's next? Is John Fetterman about to switch to the GOP? Van Jones is COMPLETELY done with the progressive Democrats. Do you think a restaurant should have stricter rules than our polling places? What's the most ridiculous “no ID required” situation you have seen lately? Drop it in the comments. If you want unfiltered truth and common-sense analysis that cuts through the noise, hit subscribe and turn on notifications. 00:00 Pat Gray UNLEASHED! 01:03 WELCOME BACK, KEITH!!! 01:19 Spain Wins the FIFA World Cup! 02:55 President Trump Hands Spain their Trophy & Medals 03:56 Trump's Thoughts on Spain Two Weeks Ago 05:38 Europeans Returning Home from the World Cup 08:39 New Pat Gray BINGO! Sheet 13:02 The Odyssey is a Box Office SUCCESS! 16:37 U.S. Strikes against Iran Over the Weekend 23:17 What is China Planning??? 30:16 Caller Mike 32:00 Fat Five 45:03 Caller Rob 47:00 Another (Fake) Mitch McConnell Sighting 48:50 Keith Shares some Photos from His Trip 51:46 Olive Garden's Endless Pasta Pass REQUIRES AN ID?! 53:05 List of Things that Require an ID 55:44 Endless Pasta Pass VS. SAVE America Act 56:17 Mark Warner Caught Lying about Virginia Voter ID 59:06 FLASHBACK: AOC on the Filibuster 1:00:00 Bill Maher on the DSA 1:01:24 Bill Maher on the State of the Democrat Party 1:02:47 John Fetterman is Disgusted with Democrats 1:06:08 Andy Burnham Replaces Keir Starmer as Prime Minister 1:06:40 Emma Vigeland on Graham Platner's Political Collapse 1:08:04 AOC at Rally for Abdul El-Sayed 1:09:26 Abdul El-Sayed Calls Out Chuck Schumer 1:10:08 Zul Mohamed Does Not Support U.S. Veterans?! 1:12:45 Van Jones on How The Left has Gone Mad 1:19:54 Zohran Mamdani on Democratic Socialism 1:20:59 Zohran Mamdani on Illegal Immigration 1:21:59 What will Zohran Mamdani Do to Benjamin Netanyahu??? 1:25:20 Maine Senate Race Candidate Ashley Webb 1:31:54 Caller Ken Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome back to The Majority Report On today's program: Senator Bernie Sanders and Representative Alexandria Ocasio-Cortez travel to Michigan to rally for Senate candidate Abdul El-Sayed and House candidate Will Lawrence. Bernie and AOC both emphasized the $50M in dark money being spent on Haley Stevens' campaign. AOC asks if anyone believes that this money does not come with expectations from the donors. Bernie says this Senate race is not between Stevens and El-Sayed but El-Sayed and the billionaire class. Kira Ganga Kieffer, visiting Assistant Professor of Religious Studies at Fairfield University, joins the program for a conversation about her book, "Unvaccinated Under God: Religion and Vaccine Hesitancy in Modern America". In the Fun Half: Bhaskar Sunkara says on Interesting Times with Ross Douthat that he wants to recover the optimism the left once had about America and reclaim narratives about racism. The Tate brothers are arrested in Miami and extradited to the United Kingdom where they are wanted for rape and human trafficking charges. Donald Trump tries to shoehorn himself into Spain's world cup celebration. Trump is very nonchalant about the three (that we know of) servicemembers that were killed by Iranian drone strikes over the weekend, The Wall Street Journal reports on a $50M "experiment" Israel is undertaking to change public perception of the apartheid state. all that and more. Tell your Senators to block the NDAA until it is stripped of the proposal to integrate U.S. and Israeli militaries. To connect and organize with your local ICE rapid response team visit ICERRT.com The Congress switchboard number is (202) 224-3121. You can use this number to connect with either the U.S. Senate or the House of Representatives. Follow us on TikTok here: https://www.tiktok.com/@majorityreportfm Check us out on Twitch here: https://www.twitch.tv/themajorityreport Find our Rumble stream here: https://rumble.com/user/majorityreport Check out our alt YouTube channel here: https://www.youtube.com/majorityreportlive Gift a Majority Report subscription here: https://fans.fm/majority/gift Subscribe to the AM Quickie newsletter here: https://am-quickie.ghost.io/ Join the Majority Report Discord! https://majoritydiscord.com/ Get all your MR merch at our store: https://shop.majorityreportradio.com/ Get the free Majority Report App!: https://majority.fm/app Go to https://JustCoffee.coop and use coupon code majority to get 10% off your purchase Check out today's sponsors: DELETEME: Get 20% off your DeleteMe plan when you go to www.joindeleteme.com/MAJORITY and use promo code MAJORITY at checkout. BLUELAND: Get 15% off your first order by going to Blueland.com/MAJORITY. ROCKETMONEY: Let Rocket Money help you reach your financial goals faster: RocketMoney.com/MAJORITY SUNSET LAKE CBD: Use coupon code "Left Is Best" (all one word) for 20% off of your entire order at SunsetLakeCBD.com.  Follow the Majority Report crew on Twitter: @SamSeder @EmmaVigeland @MattLech On Instagram: @MrBryanVokey Check out Matt's show, Left Reckoning, on YouTube, and subscribe on Patreon! https://www.patreon.com/leftreckoning Check out Matt Binder's YouTube channel: https://www.youtube.com/mattbinder Subscribe to Brandon's show The Discourse on Patreon! https://www.patreon.com/ExpandTheDiscourse Check out Ava Raiza's music here! https://avaraiza.bandcamp.

Follow Glenn Greenwald's writing and other journalism at Substack, where you can become a member: https://greenwald.substack.com/   Follow Glenn: Twitter: https://twitter.com/ggreenwald Instagram: https://www.instagram.com/glenn.11.greenwald/   Follow System Update: Twitter: https://twitter.com/SystemUpdate_ Instagram: https://www.instagram.com/systemupdate__/ TikTok: https://www.tiktok.com/@systemupdate__

Wait upon the Lord. Do feelings seem like life? Sunny Hostin & AOC. JD Vance boy. Jerry Rice heckled. Do you have a life? Illegal husband. Eminent domain. George Washington.

Craig Collins sits in for Dana.  The Tate Brothers are arrested over U.K. charges of sex crimes involving minors.14:30 - AOC debuts a new accent at a campaign rally in Memphis. Lindsey Graham's sister, Darliene, announces she will officially be running for her late brother's Senate seat. ABC schools a Democrat senator on voter ID laws. A suspect is in custody after a leftist tries to bomb an ICE facility in Manhattan. An old post resurfaces from Trans Maine Senate Candidate Ashley Webb, claiming he has his monthly period through his rectum. Bill Maher says his vote is up for grabs after the Socialist takeover of the Democrat Party.12:30 - Zohran Mamdani says he is considering arresting Netanyahu during his visit to New York City. James Talarico faces a hostile confrontation from a Houston town hall attendee over his outreach to Black voters.Thank you for supporting our sponsors that make The Dana Show possible…Byrnahttps://Byrna.com/DanaTrusted by law enforcement, security professionals, and everyday Americans—defend yourself and your family with Byrna.HumanNhttps://Humann.com/DanaGet the limited edition Watermelon Flavor and find out how to get a FREE 30-day supply before they sell out.Patriot Mobilehttp://PatriotMobile.com/DANAVisit online or call 972-PATRIOT and use promo code DANA for a FREE month of service.Relief Factorhttps://ReliefFactor.comDeclare your independence from pain with Relief Factor—start the 3-Week QuickStart for just $17.76Ghost Bedhttps://GhostBed.com/DANAGhostBed has the cooling luxury mattress you need for the best summer sleep. Use code DANA for an extra 10% off sitewide.Noble Goldhttps://NobleGoldInvestments.com/DanaIf you want to see how physical gold and silver could fit into your portfolio, download Noble Gold Investments FREE Wealth Protection Kit.Concerned Women For Americahttps://ConcernedWomen.org/DanaTogether, we can defend our girls, equip parents and protect the next generation. Subscribe today and stay in the loop on all things news with The Dana Show. Follow us here for more daily clips, updates, and commentary:YoutubeFacebookInstagramXMore InfoWebsite

Mark dives into the Canadian wildfires and the smoke affecting much of the East Coast. He discusses President Trump's frustration with Canada's handling of the wildfires and his suggestion that tariffs could be used in response. Mark also talks about Zohran Mamdani's latest comments about going after Israeli Prime Minister Benjamin Netanyahu and what they could mean. The economic impact of the 2026 FIFA World Cup was largely positive, and he comments on the difference in Rep. Alexandria Ocasio-Cortez's accent when speaking in Southern states compared to New York.See omnystudio.com/listener for privacy information.

Mark dives into the Canadian wildfires and the smoke affecting much of the East Coast. He discusses President Trump's frustration with how Canada has handled the wildfires and his suggestion that tariffs could be used in response. Mark also talks about Zohran Mamdani's latest comments about going after Israeli Prime Minister Benjamin Netanyahu and what they could mean. The economic impact of the 2026 FIFA World Cup was largely positive, and he comments on the difference in Rep. Alexandria Ocasio-Cortez's accent when speaking in Southern states compared to New York. Mark interviews New York Post columnist Michael Goodwin. Michael says Mamdani's comments about arresting Netanyahu could be a political stunt to energize his supporters. They also discuss Vice President JD Vance facing criticism over comments he made about Israel during his appearance on Joe Rogan's podcast. The guys speak about the future of the Democratic Party and whether Sen. John Fetterman could help change its direction after calling Mamdani a "clown" over his push to arrest Netanyahu if he came to New York City. Mark discusses Iran's threats against President Trump and his family. He also talks about comedian Bill Maher criticizing NPR, calling the outlet "far left" after a recent interview. President Trump is considering a subscription service that would allow users to pay $100,000 a month for early access to his posts on Truth Social before they are made public. Mark also discusses plans for a new Amazon facility on Long Island. Mark interviews National Review columnist John Fund. They discuss British politician Nigel Farage and whether his socialist political style could influence U.S. politics. They also talk about the Democratic Party's shift toward more socialist policies. Fund says elections are becoming more secure and argues that President Trump should sign an executive order eliminating capital gains taxes on the increased value of a primary home when it is sold.See omnystudio.com/listener for privacy information.

Mark dives into the Canadian wildfires and the smoke affecting much of the East Coast. He discusses President Trump's frustration with how Canada has handled the wildfires and his suggestion that tariffs could be used in response. Mark also talks about Zohran Mamdani's latest comments about going after Israeli Prime Minister Benjamin Netanyahu and what they could mean. The economic impact of the 2026 FIFA World Cup was largely positive, and he comments on the difference in Rep. Alexandria Ocasio-Cortez's accent when speaking in Southern states compared to New York. Mark takes your calls! Mark interviews New York Post columnist Michael Goodwin. Michael says Mamdani's comments about arresting Netanyahu could be a political stunt to energize his supporters. They also discuss Vice President JD Vance facing criticism over comments he made about Israel during his appearance on Joe Rogan's podcast. The guys speak about the future of the Democratic Party and whether Sen. John Fetterman could help change its direction after calling Mamdani a "clown" over his push to arrest Netanyahu if he came to New York City.See omnystudio.com/listener for privacy information.

AOC hit the campaign trail in Michigan over the weekend alongside Sen. Bernie Sanders. She's rallying for Abdul El-Sayed in his race against Congresswoman Haley Stevens, but is there subtext of an AOC 2028 bid? Meanwhile, the Vance-Rubio succession race is getting spicier. Polls show Vance at the forefront, but there's only one poll that matters in the White House: President Trump's. And, how the new Christopher Nolan's “The Odyssey” became the latest site of the culture wars.   For more news and analysis, subscribe to the Playbook newsletter: politico.com/playbook 

Jeff and Robert talk with Mike From PA to talk about why it's important for DSA to engage in campaigns to build power. This includes endorsing AOC for President ASAP.   Central Committee Stream Read Mike's Article Listen to Mike's podcast   ----more----   Support us on Patreon Follow us on Tiktok Subscribe on Youtube  Follow Jeff on Twitter Email us! goodmorningcomrade.com Tiktok Bluesky Twitter Facebook Leave a review! 5 stars and say something nice to spread the word about the show!

Tony Katz Today Show Rundown – 07/20/26 Hour 1 Segment 1 Tony Katz opens the show discussing the Iran attacks and sending “someone’s son” to war. Hour 1 Segment 2 Tony talks about AOC’s new accent... Comparing it to Hillary Clinton doing the same. Hour 1 Segment 3 Tony reacts to Zohran Mamdani continuing to call to “abolish ICE.” He also comments on Abdul El-Sayed facing off against Haley Stevens. Hour 1 Segment 4 Tony closes out the first hour previewing a discussion about the flock camera insanity. Hour 2 Segment 1 Tony kicks off the second hour commenting on the DSA wanting to abolish the US Senate. Hour 2 Segment 2 Tony talks about the declaration of a New Jersey AR-15 ban as unconstitutional. Hour 2 Segment 3 Tony gives “Three More Things” to consider. Hour 2 Segment 4 Tony wraps up the second hour commenting on an attack on ICE offices in New York. Hour 3 Segment 1 Tony opens the final hour with Indiana Senator Jim Banks. Hour 3 Segment 2 Tony gives his thoughts on the scrap after Spain won the World Cup Final. If the United States wants to compete with other countries in soccer, they have to do better at the youth level. Hour 3 Segment 3 Tony reacts to the Canada wildfires and how they need to do something about it. Hour 3 Segment 4 Tony wraps up the show revisiting the conversation of a fire near the ICE offices in Manhattan. See omnystudio.com/listener for privacy information.

Hour 1 Segment 1 Tony Katz opens the show discussing the Iran attacks and sending “someone’s son” to war. Hour 1 Segment 2 Tony talks about AOC’s new accent... Comparing it to Hillary Clinton doing the same. Hour 1 Segment 3 Tony reacts to Zohran Mamdani continuing to call to “abolish ICE.” He also comments on Abdul El-Sayed facing off against Haley Stevens. Hour 1 Segment 4 Tony closes out the first hour previewing a discussion about the flock camera insanity. See omnystudio.com/listener for privacy information.

The one thing America can't afford is to lose, Bill Maher says he does not want to live in a communist America, AOC goes full southern accent again, Sonny Hostin plays the privilege card. Jesus doesn't want you to know he is the Messiah, according to Joy Behar. Plus, The Left doubles down on Trump trying to steal the election.

The Morning XTRA with Tug and Los delivers conservative talk on the biggest political, cultural, and news stories of the day. Smart analysis, unapologetic opinions, and real conversations every weekday morning. Every weekday from 6a to 10a! 2020 was one big operation Some Democrats are waking up to what’s happening in their party AOC is talking like Tug Atlanta's ONLY All Conservative News & Talk Station.: https://www.xtra1063.com/See omnystudio.com/listener for privacy information.

The Morning XTRA with Tug and Los delivers conservative talk on the biggest political, cultural, and news stories of the day. Smart analysis, unapologetic opinions, and real conversations every weekday morning. Every weekday from 6a to 10a! Today's show: Tug and Los recap the weekend, including the Braves' big wins and the conclusion of the World Cup, before diving into the biggest political and cultural stories of the day. The guys discuss the 2020 election, why some Democrats are beginning to question the direction of their own party, and why AOC is starting to sound more like Tug on certain issues. Plus, the guys break down the changing landscape of the Pride movement and whether cultural conversations in America are shifting. On today's show:• Flashback: Remember what happened on election night in 2020?• Why some Democrats are waking up to what's happening inside their party• The View's debate over testosterone• Why Olive Garden might feel safer than America's elections• Shakira, movies, and more to get us off the railsAtlanta's ONLY All Conservative News & Talk Station.: https://www.xtra1063.com/See omnystudio.com/listener for privacy information.

Joe talks about AOC's new accent, who's inspiring Hunter Biden, Mamdani's new priorities, Tom Homan laying down the law (and the facts), and who's swinging for El-SayedSee omnystudio.com/listener for privacy information.

The latest Uncensored uncovers Andrew Tate's latest arrest, a high-profile extradition battle, and a diplomatic controversy involving one of the internet's biggest streamers. Andrew and Tristan Tate were arrested in Miami after UK prosecutors unveiled 38 new charges, including additional allegations of rape and sex trafficking, bringing the total number of charges against them to 59. The brothers deny all wrongdoing and are expected to fight any attempt to extradite them to Britain, arguing they should remain in the United States. Streamer Clavicular returns to Piers Morgan Uncensored to tell us what he knows about the new allegations about the Tate brothers and to speak on his controversial visit to Israel that sparked political fallout. His trip drew widespread attention, with criticism from Israeli commentators over his past associations, viral misinformation surrounding the visit, and disciplinary action against an IDF soldier who appeared with him during a livestream. Was the visit an attempt to repair Clavicular's image, a public relations opportunity for Israel, or something else entirely? Also joining the show is attorney & former Florida state senator, David Aronberg and editor of The Grayzone, Max Blumenthal. Piers Morgan Uncensored is proudly independent and sponsored by: Dose: New customers can save 35% on your first month of subscription by going to dosedaily.co/PIERS or entering PIERS at checkout. 00:00 Introduction 01:40 David Aronberg on the Tate's arrest and why the brothers will likely to be extradited 05:27 David Aronberg reacts to Nick Fuentes' comments and whether Donald Trump will intervene 07:14 The Tate brothers will spend the rest of their lives in prison says Daivd Aronberg 07:54 AD: Dose: New customers can save 35% on your first month of subscription by going to dosedaily.co/PIERS or entering PIERS at checkout. 08:43 Piers' monologue on Clavicular 10:05 Clavicular discusses Tate brothers and the case against them 13:47 Piers quizzes Clavicular over the reasons for his trip to Israel 22:00 Clavicular discusses his Israeli TV interview and his anti-semitism backlash 24:10 Clavicular on being kicked out of a club in Israel 25:11 Does Clavicular take his influence seriously? 27:50 Clavicular reacts to Polymarket's prediction for him to travel to Russia - https://polymarket.com/event/which-countries-will-clavicular-visit-in-2026-2026071415300304330:50 Is Clavicular ‘war crime-maxxing' and would he meet Vladimir Putin? 33:35 Clavicular on IDF's Shira Braun losing her job due to her relationship with him 36:46 Clavicular on AOC discussing looksmaxxing, and whether she is good looking 41:13 Max Blumenthal joins Piers to discuss his visit to Iran 44:45 Max on the ‘canary mission' 46:10 Piers challenges Max on civilians being murdered at the hands of the Iranian regime 49:23 Will Chamberlain's message to Max Blumenthal 52:15 Max's final word on the Iranian regime and the role of Israel Learn more about your ad choices. Visit podcastchoices.com/adchoices

Yanni definitely explains why The Odyssey is so great… or at least tries to get there. He also argues that the people who hate capitalism today would have been protesting for it under feudalism. Along the way, he reacts to clips of AOC talking about democracy, breaks down Sneako's ever-changing pro wrestling personas, and discusses the conspiracy theories surrounding Charlie Kirk's assassination that have been promoted by Candace Owens. By the end, Yanni concludes that we've become disconnected from ancient traditions and moral frameworks and have been living without a rubber or a daddy, just the way the devil likes it. Support our sponsors: Crypto was invented so you have control of your money. Download now at http://wallet.rumble.com/yannis and use the code YANNIS10 to claim $10 in US Stablecoin (USA₮)! This is a paid advertisement for Rumble Wallet. Rumble is compensating me for this ad. Void where prohibited. No purchase necessary. Offer available to US residents only. Offer not available in New York State. Must be 18+. Offer is available for a limited time and for the first 500 wallets activated and funded. Details and full official rules available at http://rumble.com/promoofficialrules. Get 10% off your first order by using code YANNIS at checkout, only at https://ZippixToothpicks.com. Get up to $200 off Square hardware when you sign up at square.com/go/yannis! #squarepod To get simple, online access to personalized, affordable care for ED, Hair Loss, and more, visit https://hims.com/yannis That's H-I-M-S dot com slash yannis. Learn more about your ad choices. Visit megaphone.fm/adchoices

Thom talks with American journalist, talk show host, publisher, and co-author of several non-fiction books, Karen Hunter, about D.E.I., what it mean to be "white", and how people unfortunately need to see the consequences of their voting. What Does It Mean to Be "White" in America Today?See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president could still fire commissioners, as the Court now permits, but if those firings broke quorum, the agency would be unable to proceed until replacements were confirmed. The guardrail would

This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.There was an issue with this only going to paid subscribers, so sending it again. Apologies to those who get it twice. I appreciate being paid so feel free to upgrade if you enjoy TWTW.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president

Court is in session — Friday belongs to Raider Nation. Your calls, videos, and comments on Wednesday's wide receiver room verdict, and the testimony gets good: the X debate over whether Brock Bowers and Ashton Jeanty can carry the offense without proven receivers, the case that the thin WR room is by design with a top-10 pick coming, a look at the Raiders' brutal opening stretch, and John from Oroville's argument that Aidan O'Connell has quietly been the best QB of the offseason. Plus why Gully backs John Spytek's slow-and-steady rebuild — and a preview of next week's linebacker corps verdict. Be part of Friday's show: call 702-900-7869 or send a video to mail@silverandblacktoday.com. Follow @SNBToday | @LVGully. Silver & Black Today — Las Vegas Raiders analysis. Verdicts, not takes. Chapters 0:00 — Cold open 3:01 — Court Is in Session: Welcome to Raider Nation Court 6:00 — How to Get on the Show + This Week's WR Room Response 9:06 — First Witness: Terrick from Texas (video) on the O-Line & the Rebuild 13:56 — Mendoza Stan's Testimony: Can Bowers & Jeanty Carry It? The 49ers Comp 20:49 — Next Witness: Psychedelic Raider — Thin WR Room by Design, Top-10 Pick Coming? 22:19 — The Brutal 2026 Schedule: Seven Weeks of Trouble Before the Bye 24:19 — Caller John from Oroville: Don't Rush Mendoza — and AOC's Quiet Rise 29:59 — Aaron Davis on X: "You're Getting Roasted for Stating the Truth" 32:02 — The Ruling: Trust Spytek's Rebuild, but the WR Room Still Has to Prove It 36:06 — Court Adjourned: Next Week's Linebacker Verdict + How to Call In Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Day Break | Free Speech, Free For All Friday --- 00:00 - Monologue 28:15 – David A. Kallman, Senior Partner with the Kallman Legal Group. In this edition of the Kallman Legal Report, Kallman discusses the media's role in covering major political stories, including recently declassified documents related to the 2020 election and allegations of voter fraud. He also examines concerns about foreign influence in media ownership and discusses election-related issues emerging in Michigan. 38:31 – John Solomon, founder of Just the News and host of Just the News, No Noise. Solomon discusses his work surrounding the Trump administration's declassification of election-related documents, examining allegations of voter fraud, foreign interference, and the role of major news organizations in covering—or choosing not to cover—these developments. The conversation also addresses concerns about compromised voter records and election security. 57:52 – Rep. Tim Walberg, Representative for Michigan's 5th Congressional District and member of the House Energy and Commerce Committee and House Education and Workforce Committee. Walberg reacts to President Trump's national address, discusses the upcoming midterm elections, and examines concerns surrounding election security, allegations of foreign interference, and the importance of restoring public confidence in the electoral process. 1:17:04 - Monologue 1:26:05 – Steve Dulan, professor and attorney. Dulan discusses President Trump's address, voter fraud allegations, wildfire smoke affecting Michigan, and other major legal and political developments making headlines, providing legal analysis on the day's top stories. 1:36:20 – Tim Golding, Michigan State Director for Americans for Prosperity. Golding discusses Michigan's political landscape heading into the upcoming gubernatorial and Senate races, previews AFP's event featuring Mike Rogers, and discusses a Lansing political rally featuring Abdul El-Sayed alongside Alexandria Ocasio-Cortez and Bernie Sanders while examining what these events may signal for Michigan voters. --- Check out our brand new podcast, 'Forgotten America'... Episode 22 is live NOW at Steve Gruber on YouTube! Link below: https://youtu.be/Dfr8Z_syB-M

-- On the Show: -- Jamie Raskin, U.S. representative for Maryland's 8th congressional district, joins us to discuss challenges to Donald Trump's $1.8 billion slush fund, reactions to Todd Blance's confirmation hearings, and much more… -- Donald Trump demands 3,000 daily immigration arrests, forcing agents to target non-criminals during routine traffic stops -- DNI Nominee Jay Clayton refuses to state who won the 2020 election when questioned by Senator Jon Ossoff -- Donald Trump falls asleep at a Pennsylvania defense summit, claiming that only transgender-run companies qualify for CHIPS Act funding -- Donald Trump falsely claims stock buybacks are banned and shifts focus to a commemorative coin featuring his face -- Vice President JD Vance admits the administration mishandled the Jeffrey Epstein files during a podcast interview with Joe Rogan -- Fox News co-host Jessica Tarlov challenges colleagues over escalating military strikes in Iran despite earlier claims of victory -- On the Bonus Show: Takeaways from Todd Blanche's confirmation hearing, AOC calls for TV networks not to air Trump's speech, two Spaniards gored at bull run festival, and much more...

Trump teased a major primetime speech while political battles continued to intensify across Washington. We break down allegations of Chinese election interference, the debate over Daylight Saving Time, Trump's decision to overrule an ICE policy pause, and the fallout that followed from conservatives, lawmakers, and administration officials.The show also covers Hunter Biden's explosive podcast comments, JD Vance's response to questions surrounding Epstein-related communications, and the growing feud between Candace Owens and Ben Shapiro. Plus, we discuss AOC's call for networks to skip Trump's speech, Mike Lindell's gubernatorial run, Don Lemon's presidential ambitions, Jordan Peterson's return to X, viral reactions across social media, and plenty of the week's biggest political and cultural moments.Additional topics include:- CDC nominee Dr. Erica Schwartz- Senate hearings and DOJ confirmation news- The SAVE America Act discussion- Sonny Hostin, Graham family controversy- Netflix's Gone with the Wind warning- Nick Shirley Senate testimony- Charlie Kirk conspiracy rumors- Viral TikToks and internet reactionsSUPPORT OUR SPONSORS TO SUPPORT OUR SHOW!Give $26 today to the Human Coalition. Be her lifeline. Create a Life Saving Moment. Give today at https://HumanCoalition.org/ChicksSupport your heart health, circulation, and healthy cholesterol levels with HealthyCell. Visit https://HealthyCell.com/CHICKS and use code CHICKS20 to save 20% on your first purchase.Get answers at Bulwark Capital's “Market Blind Spot” live webinar July 23rd 3:30pm Pacific.  Register for FREE at https://KnowYourRiskPodcast.com Towels made from viscose from bamboo — breathable, soft, and built for summer from Cozy Earth. Head to https://CozyEarth.com and use code CHICKS for an exclusive 20% off. Subscribe and stay tuned for new episodes every weekday!Follow us here for more daily clips, updates, and commentary:YoutubeFacebookInstagramTikTokXLocalsMore InfoWebsite

Donate (no account necessary) | Subscribe (account required) Join Bryan Dean Wright, former CIA Operations Officer, as he dives into today's top stories shaping America and the world. In this episode of The Wright Report, Bryan breaks down Trump's rapidly expanding military campaign against Iran, including new strikes on contested Persian Gulf islands that could pave the way for U.S. boots on the ground. Bryan lays out the Pentagon's strategy to hammer Iran's air defenses and seize strategic islands near the Strait of Hormuz, plus what it would take to destroy Iran's deeply buried nuclear program at Pickaxe Mountain. He also breaks down the growing economic fallout, with emergency oil reserves nearly exhausted and the Red Sea shaping up as the next flashpoint. Plus, Bryan covers Trump's reversal on ICE traffic stop arrests after a string of deadly encounters, an escalating theological clash between JD Vance and the Vatican over immigration, a batch of encouraging economic data, and the Democratic Socialists' new platform to abolish the presidency, Senate, and Supreme Court. "And you shall know the truth, and the truth shall make you free." - John 8:32   Keywords: Wright Report, Bryan Dean Wright, Iran war, Persian Gulf, Strait of Hormuz, Pickaxe Mountain, Kharg Island, ICE traffic stops, immigration, JD Vance, Pope Leo, Vatican, Marco Rubio, ICC, US economy, inflation, DSA platform, Democratic Socialists, Bernie Sanders, AOC, Zohran Mamdani

Today, Joe pulls back the curtain on the coordinated assault to dismantle American sovereignty from the inside out. We trace the threads of the 2020 election back to the key players—examining the shocking history of Dominion's Eric Coomer, foreign interference warnings from Tulsi Gabbard, and Donald Trump's highly anticipated, bombshell-filled primetime address. Joining us to break down the legal and technical battlelines are election integrity advocates Patrick Byrne and attorney Peter Ticktin, exposing the raw vulnerabilities of our voting systems and the relentless lawfare used to silence those who dare to speak the truth.But this isn't just about machines; it's about the devastating reality of what happens when the will of the people is subverted. We take you directly to the frontlines of our crumbling cultural landscape—from the suspicious demolition of a historic 174-year-old New York church under radical leadership, to socialist-backed agendas targeting our youth, to the lawless open-air markets of stolen goods currently lining the streets of Queens under AOC's watch. This is the grim, daily reality ushered in by compromised leadership and stolen elections, designed to strip away our heritage and security.This episode is a vital wake-up call and a roadmap for restoration. As Karoline Leavitt delivers a fierce defense of Trump's election integrity agenda, we look at the critical legislative fight for the SAVE America Act. Do not miss this explosive broadcast as we connect the dots between compromised voting booths and the degradation of our streets, arming you with the undeniable facts and evidence needed to reclaim the republic.

President Trump addresses the nation tonight at 9 p.m. Eastern with major new declassified intelligence on foreign election interference and voting machine vulnerabilities. But before he even speaks, Alexandria Ocasio-Cortez is demanding networks censor the entire speech. On this episode of The Right Side, Doug Billings breaks down what this reveals about the left's confidence in our system and how the House's bold move attaching the SAVE America Act to a national security bill changes the game.Doug also connects the dots on the broader cultural assault: New York Mayor Zohran Mamdani's controversial immigrant map that erased Little Italy and historic communities, the push to bring Ebonics back into California classrooms, and alarming polls showing growing sympathy for Hamas among younger Americans. This isn't random — it's the systematic replacement of America's melting-pot culture with tribalism and victimhood.Strong analysis, historical perspective, and real hope for the path forward. If you want to understand what tonight's speech really means for the future of the Republic, this is the episode you can't miss.Subscribe, leave a review, and share with fellow patriots — The Right Side delivers the unique conservative insight you won't find anywhere else.#TrumpSpeech #Trump #ElectionIntegrity #AOC #SaveAmericaAct #AmericaFirst #MAGA #Assimilation #CulturalWar #TheRightSide #DougBillings #fyp Support the show

Trump just put Iran on notice again. The U.S. military has launched a new wave of strikes today, and Trump is warning that power plants and bridges could be knocked out next week unless the regime makes a deal. Iran has spent years testing American resolve by shutting down the Strait of Hormuz and backing attacks on our allies and shipping lanes. Weakness and endless talks only encouraged more aggression. Now we're seeing real pressure in action — nightly airstrikes, a naval blockade, and a clear ultimatum on critical infrastructure. Trump's strategy is straightforward: degrade Iran's military capabilities first, then hold the country's power grid and bridges at risk to force negotiations from strength. This isn't about regime change or sending in ground troops. It's about protecting the free flow of commerce and showing adversaries that America means business when our core interests are threatened. Pat also covers: Senator Mitch McConnell joins Pat live in the studio. Sara Gonzales grills Senator Thom Tillis for opposing the SAVE Act. Senator Darline Graham Nordone is sworn in and takes the oath of office. Gay cruise denied entry in the Mediterranean again — latest developments. Did you know the vast majority of women can get pregnant? Do you think the threat to the country's power infrastructure will finally bring Iran to the negotiating table in good faith? How do you see this kind of military and economic pressure compared to the approaches we've seen in the past — does it give you more confidence in protecting American interests abroad? If you want unfiltered truth and common-sense analysis that cuts through the noise, hit subscribe and turn on notifications. 00:00 Pat Gray UNLEASHED! 00:22 IRGC HQ Hit HARD by the U.S.A. 02:38 Trump's Plan if Iran Doesn't Accept his Deal 05:04 What is Trump's Big Announcement? 06:51 Trump to Invalidate Georgia Senate Election Results? 09:54 Mitch McConnell Joins the Show??? 11:38 The Strangeness of Victor Marx 18:07 Jeffy & Kris AGREE with AOC?! 21:26 Kris Helps Mitch McConnell Drink his Water 23:34 What's Going On with Mitch McConnell? 24:52 Judge Amy Coney Barrett on Threats Against Her 31:50 Chewing the Fat 48:19 Joe Lombardo's Red Light Situation 54:43 Daylight Savings Bill Passed in the House! 59:16 Darline Graham Nordone Takes the Oath 1:06:31 Trump Walks Back the Hormuz Reimbursement 1:10:12 Trump's Signature on $100 Bill 1:12:11 Yet Another Idiotic, Racist Hoax 1:18:41 Mary Miller Questions UCSF Chancellor 1:27:02 Sara Gonzales Presses Thom Tillis on Opposing SAVE Act 1:30:17 Elissa Slotkin on Blocking SAVE Act 1:34:26 Trump Pulling U.S. Troops Out of Iraq Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of Fox Across America, Jimmy Failla comments on New York Democratic Congresswoman Alexandria Ocasio-Cortez's statement urging media outlets to keep President Trump's upcoming speech on election integrity off the air. Host of the “Kennedy Saves The World” podcast Kennedy stops by to listen to Jimmy's recent horror story involving a certain famous airline. PLUS, former Trump 2024 Deputy Comms Director Caroline Sunshine checks in to try and make sense of Kentucky Republican Senator Mitch McConnell's ongoing absence from Capitol Hill. [00:00:00] AOC slams Trump's planned speech on election integrity [00:37:50] Maine ICE shooting reaction [00:56:30] Trump reverses ICE's pause on traffic stops [01:15:10] Kennedy [01:33:20] Caroline Sunshine Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jimmy's Monologue - AOC doesn't want Trump's speech to be aired Learn more about your ad choices. Visit podcastchoices.com/adchoices