Podcasts about H5

How many measles cases in 2025? Can CT scans cause cancer? What is the best treatment for gonorrhea? What states have bird flu? What animals are affected by bird flu? AMA's Vice President of Science, Medicine and Public Health, Andrea Garcia, JD, MPH, covers measles outbreak states, latest bird flu news, treatment for gonorrhea and CT scan radiation. American Medical Association CXO Todd Unger hosts.

Did you know that H5 influenza (also called bird flu) will continue to spread into new species and threaten human lives? Join Food Sleuth Radio host and Registered Dietitian, Melinda Hemmelgarn for her conversation with Carol Cardona, Ph.D., DVM, Professor and Endowed Chair in Avian Health in the Department of Veterinary and Biomedical Sciences at the University of MN – St. Paul.  Dr. Cardona discusses avian influenza, (popularly called “bird flu”) or H5N1, the spread to new species, risk to human health, vaccination, farm worker health, and the need to support public health agencies in their efforts to educate producers and consumers, and protect all species.Related Websites: https://vetmed.umn.edu/bio/college-of-veterinary-medicine/carol-cardona Upper Midwest Agricultural Safety and Health Center: https://umash.umn.edu/hpai-toolkit/

This season alone, there have been over 30,000 COVID-19 cases in Connecticut. That’s according to the Connecticut Department of Public Health. Measles is on the rise across the United States, and the CDC is monitoring H5 bird flu activity as well. Is it time to start preparing for the next global pandemic? Last year, the World Health Organization published a checklist to help nations update their pandemic preparedness plans. Today, physicians across our state join us to talk about what we learned from the COVID-19 pandemic, and how to prepare for the next one. GUESTS: Dr. Ulysses Wu: Chief Epidemiologist at Hartford Healthcare Dr. Megan Ranney: Dean of Yale School of Public Health and Professor of Emergency Medicine Support the show: http://wnpr.org/donateSee omnystudio.com/listener for privacy information.

This episode was recorded live on stage at EDTECH WEEK in New York City. Like most edtech conferences, there were many conversations about the potential power that AI could play in student learning. Ours was a different kind of conversation. We brought together two experts who both expressed skepticism about the role AI should be playing in education today. While they agreed on many things, there is a highly productive disagreement around whether or not we should be actively teaching AI literacy (or “readiness”) to students in grades K-12.Alex Kotran is the CEO of The AI Education Project (AI Edu), a non-profit devoted to making sure that all students are ready to live, work, and thrive in a world where AI is everywhere. Previously, he was the Director of AI Ethics at H5, a pioneering AI company in the legal services sector.Benjamin Riley is the founder of Cognitive Resonance, a new venture dedicated to improving understanding of human cognition and generative AI. Previously, he founded and served as CEO of Deans for Impact, a nonprofit education organization working to improve teacher training through the use of cognitive science.This episode is moderated by The Disagreement's cohost and cofounder Catherine Cushenberry.Questions or comments about this episode? Email us at podcast@thedisagreement.com or find us on X and Instagram @thedisagreementhq. Subscribe to our newsletter: https://thedisagreement.substack.com/

This episode discusses two MMWR reports. First, CDC finds evidence of previous infection with avian influenza A(H5) bird flu in three veterinary practitioners who work with cattle. Next, the public health system responds to the first known case of clade I mpox in the U.S. and prevents its spread.

On this episode of The Wisconsin Sportsman, Pierce is joined by DNR Fisheries Biologist, Nathan Lederman, to talk all about what makes the fishing up north so exceptional! Nathan is a Wisconsin-native and current DNR Fisheries Biologist for Oneida County. In this conversation, the guys dive into what makes the fishing up north so good from a biological perspective. Nathan shares how the DNR uses a three-legged approach to ecosystem management in order to serve the needs of all stakeholders of the waterways, what a year of fish sampling looks like for a fisheries biologist, the various types of data collected to monitor the growth rates and health of various fish species, what species go underappreciated in some of the most popular areas, the impacts of panfish bag limits, and all of the resources that the DNR puts out to share their findings with the public. All that and more in this week's episode! If you're planning your fishing trips for 2025, be sure to check out the resources mentioned in the episode below:   Trout reports https://dnr.wisconsin.gov/topic/Fishing/trout/TroutSurveys https://dnrmaps.wi.gov/H5/?viewer=TROUT Full survey reports https://dnr.wisconsin.gov/topic/Fishing/reports Snapshot survey reports https://dnr.wisconsin.gov/topic/Fishing/north/springsurveys Creel surveys https://dnr.wisconsin.gov/topic/Fishing/north/trtycrlsrvys Ceded territory fisheries reports https://dnr.wisconsin.gov/topic/Fishing/ceded/reports Lake Superior Management Reports https://dnr.wisconsin.gov/topic/fishing/lakesuperior/managementreports Lake Michigan management reports https://dnr.wisconsin.gov/topic/Fishing/lakemichigan/ManagementReports Lake habitat and aquatic invasive species https://dnrmaps.wi.gov/H5/?viewer=Lakes_AIS_Viewer Aquatic plants https://dnr-wisconsin.shinyapps.io/AquaticPlantExplorer/   Big thanks to our fantastic partners: onX Hunt: www.onxmaps.com XOP Gear: www.xopoutdoors.com Huntworth: www.huntworthgear.com Wisconsin Backcountry Hunters & Anglers: www.backcountryhunters.org/wisconsin Good Chance Fly Fishing: www.goodchanceflyfishing.com Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of The Wisconsin Sportsman, Pierce is joined by DNR Fisheries Biologist, Nathan Lederman, to talk all about what makes the fishing up north so exceptional! Nathan is a Wisconsin-native and current DNR Fisheries Biologist for Oneida County. In this conversation, the guys dive into what makes the fishing up north so good from a biological perspective. Nathan shares how the DNR uses a three-legged approach to ecosystem management in order to serve the needs of all stakeholders of the waterways, what a year of fish sampling looks like for a fisheries biologist, the various types of data collected to monitor the growth rates and health of various fish species, what species go underappreciated in some of the most popular areas, the impacts of panfish bag limits, and all of the resources that the DNR puts out to share their findings with the public. All that and more in this week's episode!If you're planning your fishing trips for 2025, be sure to check out the resources mentioned in the episode below:Trout reportshttps://dnr.wisconsin.gov/topic/Fishing/trout/TroutSurveyshttps://dnrmaps.wi.gov/H5/?viewer=TROUTFull survey reportshttps://dnr.wisconsin.gov/topic/Fishing/reportsSnapshot survey reportshttps://dnr.wisconsin.gov/topic/Fishing/north/springsurveysCreel surveyshttps://dnr.wisconsin.gov/topic/Fishing/north/trtycrlsrvysCeded territory fisheries reportshttps://dnr.wisconsin.gov/topic/Fishing/ceded/reportsLake Superior Management Reportshttps://dnr.wisconsin.gov/topic/fishing/lakesuperior/managementreportsLake Michigan management reportshttps://dnr.wisconsin.gov/topic/Fishing/lakemichigan/ManagementReportsLake habitat and aquatic invasive specieshttps://dnrmaps.wi.gov/H5/?viewer=Lakes_AIS_ViewerAquatic plantshttps://dnr-wisconsin.shinyapps.io/AquaticPlantExplorer/Big thanks to our fantastic partners:onX Hunt: www.onxmaps.comXOP Gear: www.xopoutdoors.comHuntworth: www.huntworthgear.comWisconsin Backcountry Hunters & Anglers: www.backcountryhunters.org/wisconsinGood Chance Fly Fishing: www.goodchanceflyfishing.com

My voice has given up so I can't record a story without it sounding like a rubber tyre riding on polystyrene. So, I dug into the archives and found an old 'true ghost' / timeslip story I narrated on an H5 zoom in a closet using the H5 Zoom built in microphone. As such, forgive the audio. On 10th August 1901, two English women walked into the past. During a visit to the Palace of Versailles, on the anniversary of the French Revolution, two ordinary women saw the French Queen, Marie Antoinette sitting in the gardens in front of them, along with nobles, gardeners, houses, bridges and stones that when they went back, were no longer there. Backed up by a decade of research, the two women decided to publish their extraordinary adventure in 1910. Their timeslip experience has become known as the Ghosts of the Petit Trianon. Did these two Edwardian women actually experience time travel, or did they see the ghosts of things that had been? Previously, out of print, this is a new edition, edited and translated for the modern age, with additional material that looks at subsequent timeslip type experiences at Versailles An Adventure Ebook For You To Read Along Here's a link to a PDF I made of the book so you can read along and see where I made mistakes. An Adventure by Charlotte Moberley and Eleanor Jourdain Book Club Áine Moroney has asked me to remind you of the existence of The Classic Ghost Stories Podcast Book Club to be found on Discord. Please use this link to join. https://discord.gg/tZQrbsCf Learn more about your ad choices. Visit megaphone.fm/adchoices

Bern and Dr. Peter McCullough cover all the latest health news of the past few weeks including the senate confirmation hearing with Robert F. Kennedy, Jr. , H5 bird flu fear mongering by mainstream media, vaccination safety during pregnancy and so much more!Dr. McCullough is an internist, cardiologist, epidemiologist holding degrees from Baylor University, University of Texas Southwestern Medical School, University of Michigan, and Southern Methodist University.  Dr. McCullough has broadly published on a range of topics in medicine with over 1000 publications and 700 citations in the National Library of Medicine.  Dr. McCullough is a well-known public figure in medicine and is a frequent contributor on numerous mainstream and independent media platforms.  He has testified multiple times in the US Senate, US House of Representatives, European Parliament, and many state capitals concerning public health policy.   Learn more at petermcculloughmd.com and visit The Wellness Company and use the code COURAGE for a discount off of their monthly subscription service!

A new year brings new questions and more insights to the topic of Highly Pathogenic Avian Influenza. Dr. Mike Brasher is joined by leading experts in the field of avian influenza, Dr. Dave Stallknecht, Dr. Richard Webby, and Dr. Jennifer Ballard to discuss the current status of avian influenza, what we've learned since 2022, and what we still don't understand. Recent changes have been noted in the genetic code of the circulating virus, but what does this mean for the risk it poses to birds, mammals, and humans? How do we study these changes? What waterfowl species are most affected, and do we understand why these effects differ among species? Also discussed is recent science about risks to hunting dogs, what hunters need to do if they observe sick or dead birds, why hunters should be vigilant about being tested for avian flu if they feel ill, and how we can all work to reduce the likelihood of the virus becoming more severe. Tune in for an information-packed episode that is of growing relevance to everyone.Listen now: www.ducks.org/DUPodcastSend feedback: DUPodcast@ducks.org

We hear the latest Bred heifer and Stock Cow Prices.  We look towards bull sale season 2025, have lots of news that you need to hear, market recaps and lots more on this all new episode of the Ranch It Up Radio Show.  Be sure to subscribe on your favorite podcasting app or on the Ranch It Up Radio Show YouTube Channel. Season 5, EPISODE 218  Bred Heifer & Stock Cow Prices Plus Cattle Industry News Bred Heifers & Cows Sell Well Marty Ropp from Allied Genetic Resources joins us to discuss the upcoming bull and heifer sale season along with John Fisher from Stockmen's Livestock to recap the bred heifer and stock cow markets as well as let us know what we could expect for prices in the future. Cattle & Agriculture Industry News Former USDA Counsel Named Deputy Ag Secretary A veteran of the first Trump administration's agriculture team has been named to be deputy secretary of the USDA. President-elect Donald Trump announced his nomination of Stephen Vaden to be deputy under Brooke Rollins, a former think tank executive already tapped to head the USDA. A Yale law graduate, Vaden served as USDA general counsel from 2018-2020, when he was confirmed to a judicial appointment on the U.S. Court of International Trade. He has served as a board member of the Commodity Credit Corp. CDC Confirms Nations First Severe H5N1 Infection Of Human A patient in Louisiana was hospitalized with a severe case of avian influenza (H5N1), marking the first instance in the United States of severe illness linked to the virus, the Centers for Disease Control and Prevention (CDC) announced today in a news release and press call. CDC said the Louisiana patient, one of 61 human cases to occur in the United States since April, was infected with a D1.1 virus recently detected in wild birds and poultry in the U.S. and in recent human cases in British Columbia, Canada, and in the state of Washington. Officials noted the D1.1 strain of H5N1 is different from the B3.13 genotype detected in dairy cows, sporadic human cases in multiple states, and some poultry outbreaks in the U.S.  No person-to-person spread of H5 bird flu has been detected. California State Of Emergency, New Human Infections, Canadian Struggles all due to H5N1 Gov. Gavin Newsom issued a state of emergency in an effort to streamline the Golden State's response to highly pathogenic avian influenza (HPAI). Several California agencies have developed coordinated responses to address and minimize farm worker exposures, lower raw dairy product contamination and mitigate the spread of the virus, the governor said in a statement: He said “This proclamation is a targeted action to ensure government agencies have the resources and flexibility they need to respond quickly to this outbreak.” About 680 dairy farms are under quarantine from HPAI outbreaks, while 6.2 million birds have been hit and 36 people infected across California. A commercial poultry worker in northwest Iowa is now the first confirmed human case of HPAI in the Hawkeye State, according to the Iowa Department of Health and Human Services (Iowa HHS). An estimated 6.7 million birds have been affected in more than a dozen counties across Iowa, according to USDA's Animal and Plant Health Inspection Service (APHIS). The Canadian Food Inspection Agency (CFIA) announced that more than 13.9 million birds have been impacted by HPAI in the most recent tally of the spread of H5N1 infections across nine provinces. British Columbia is reporting the highest number of HPAI cases among 8.3 million birds. New Brunswick has the lowest number of birds affected by avian influenza with fewer than 100 birds at two locations being confirmed with the virus. Beef Processor Fined For Odor Violations The Texas Commission on Environmental Quality (TCEQ) fined STX Beef Company $200,000 for violations linked to foul odors coming from its Corpus Christi facility, according to a local report. The penalty follows years of complaints about smells traced to cattle processing and wastewater management issues. TCEQ also cited equipment failures, inadequate scrubber systems and poor recordkeeping. Of the fine, $2,000 is already paid, with $40,000 due soon. Over $80,000 will support Texas A&M University-Corpus Christi's AutoCheck program, addressing regional vehicle emissions. The company has 30 days to submit an odor control plan, including equipment repairs and new systems, and must comply with air quality rules for five years. Corporate Transparency Act Reporting Requirement Will Return Due to Court Ruling Producers pay attention now.  The Corporate Transparency Act filing requirements are back in effect following a court decision that reverses the injunction that previously halted this mandate.  NCBA Executive Director of Government Affairs Kent Bacus said that The Corporate Transparency Act requires millions of family farmers and ranchers to file complex paperwork and disclose beneficial ownership information with the federal government under penalty of severe fines and jail time. Earlier last week, the Fifth Circuit Court of Appeals lifted a nationwide preliminary injunction on the enforcement of the Corporate Transparency Act, holding that the government is likely to prevail in a constitutional challenge. This decision places many small businesses in jeopardy that have not yet filed Beneficial Ownership Information with the Financial Crimes Enforcement Network (FinCEN), a division of the U.S. Department of the Treasury.  In light of the Fifth Circuit's decision, FinCEN announced it will delay enforcement of the Corporate Transparency Act until January 13, 2025.  It is highly recommended to visit with your accountant, tax professionals, and or attorneys on exactly what needs to be filled and where.  Sale Barn Updates From Pratt Livestock & Torrington Livestock We have the latest sale barn updates from Pratt Livestock, their latest reports are HERE and Torrington Livestock with their latest reports HERE.  RanchChannel.Com Now Has The Futures Markets & New Listings Futures Markets RanchChannel.com now has futures markets at your fingertips!  Feeder Cattle, Live Cattle, Corn, Wheat, Soybeans, Soybean Oil, Milk Class IV, and Ethanol.  Information is provided by DTN and market information may be delayed by as much as 10 minutes.  Click Here for more information! UPCOMING SALES & EVENTS Ressler Land & Cattle:  January 11, 2025 Spruce Hill Ranch:  February 6, 2025 Prairie Hills Gelbvieh:  February 8, 2025 Wasem Red Angus:  February 20, 2025 Vollmer Angus Ranch:  April 1, 2025 Jorgensen Land & Cattle:  April 21, 2025 World Famous Miles City Bucking Horse Sale: May 15 18, 2025   BULL SALE REPORT & RESULTS Churchill Cattle Company Van Newkirk Herefords Gardiner Angus Ranch Cow Camp Ranch Jungels Shorthorn Farms Ellingson Angus Edgar Brothers Angus Schaff Angus Valley Prairie Hills Gelbvieh Clear Springs Cattle Company CK Cattle Mrnak Hereford Ranch Frey Angus Ranch Hoffmann Angus Farms Topp Herefords River Creek Farms Upstream Ranch Gustin's Diamond D Gelbvieh Schiefelbein Farms Wasem Red Angus Raven Angus Krebs Ranch Yon Family Farms Chestnut Angus Eichacker Simmentals & JK Angus Windy Creek Cattle Company Pedersen Broken Heart Ranch Mar Mac Farms Warner Beef Genetics Arda Farms & Freeway Angus Leland Red Angus & Koester Red Angus Fast Dohrmann Strommen RBM Livestock Weber Land & Cattle Sundsbak Farms Hidden Angus Wheatland Cattle Company Miller Angus Farms L 83 Ranch U2 Ranch Vollmer Angus Ranch A & B Cattle Carter Angus Farms Roller Ranch Montgomery Ranch Jorgensen Farms DLCC Ranch Four Hill Farm North Country Angus Alliance Spruce Hill Ranch Wilson Angus Jorgensen Land & Cattle Motherlode Sale ISA Beefmasters JYJ Red Angus Jorgensen Land & Cattle, Legends Of The Fall Bull Sale Clear Springs Cattle Company FEATURING Marty Ropp Allied Genetic Resources https://alliedgeneticresources.com/ @alliedgeneticresources John Fisher Stockmens Livestock http://www.gostockmens.com/ @gostockmens Kirk Donsbach: Stone X Financial https://www.stonex.com/   @StoneXGroupInc    Mark Vanzee Livestock Market, Equine Market, Auction Time https://www.auctiontime.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ @LivestockMkt @EquineMkt @AuctionTime Shaye Koester Casual Cattle Conversation https://www.casualcattleconversations.com/ @cattleconvos   Questions & Concerns From The Field? Call or Text your questions, or comments to 707-RANCH20 or 707-726-2420 Or email RanchItUpShow@gmail.com FOLLOW Facebook/Instagram: @RanchItUpShow SUBSCRIBE to the Ranch It Up YouTube Channel: @ranchitup Website: RanchItUpShow.com https://ranchitupshow.com/ The Ranch It Up Podcast is available on ALL podcasting apps. https://ranchitup.podbean.com/   Rural America is center-stage on this outfit. AND how is that? Tigger & BEC Live This Western American Lifestyle. Tigger & BEC represent the Working Ranch world and cattle industry by providing the cowboys, cowgirls, beef cattle producers & successful farmers the knowledge and education needed to bring high-quality beef & meat to your table for dinner. Learn more about Jeff 'Tigger' Erhardt & Rebecca Wanner aka BEC here: TiggerandBEC.com https://tiggerandbec.com/   #RanchItUp #StayRanchy #TiggerApproved #tiggerandbec #rodeo #ranching #farming References https://www.stonex.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ https://www.auctiontime.com/ https://gelbvieh.org/ https://www.imogeneingredients.com/ https://alliedgeneticresources.com/ https://westwayfeed.com/ https://medoraboot.com/ http://www.gostockmens.com/ https://www.imiglobal.com/beef https://www.tsln.com/ https://transova.com/ https://axiota.com/ https://axiota.com/multimin-90-product-label/ https://jorgensenfarms.com/ https://www.bredforbalance.com/ https://ranchchannel.com/ https://www.wrangler.com/ https://www.ruralradio147.com/ https://www.rfdtv.com/ https://www.meatingplace.com/Industry/News/Details/117324 https://www.meatingplace.com/Industry/News/Details/117247 https://www.meatingplace.com/Industry/News/Details/117283 https://www.meatingplace.com/Industry/News/Details/117306

Travel Fun: People across Southern California woke up Sunday morning to thick fog blanketing the region, causing hundreds of flights across the region to be delayed during one of the busiest nationwide travel periods ever. New Laws: California lawmakers sent hundreds of bills to Gov. Gavin Newsom's desk in 2023. Many were signed by the governor just ahead of an October deadline to approve or veto, meaning some significant new rules for the nation's most populous state in 2024. LA Law: The Law Makers, Law Breakers and times that there oughta be a law. Bird Flu: A human case of H5 bird flu has been confirmed in Los Angeles County, officials announced on Monday. According to the Los Angeles County Department of Public Health, this is the first human case detected in the county. The adult, who the department did not immediately identify, purportedly contracted the disease from infected livestock at a worksite.

Ethics Report Accuses Gaetz of Paying for Sex, Including With 17-Year-Old/ First human case of H5 bird flu detected in LA County/ Francis Ford Coppola shares harrowing story of being a polio survivor. Jeff Bezos Denies Reports That He and Lauren Sánchez Are Set to Wed This Christmas/Bashar al-Assad's wife files for divorce, seeks to move to UK. Powerball winning numbers for December 23 drawing: Jackpot rises to $103 million. Pushback on Elf on the shelf. Metro announces free rides on Christmas Eve, New Year's Eve/ Georgia man plays saxophone on delayed flight/ TSA stops passenger with dozens of firecrackers and knives in her carry-on. 

We document the holiday escape and the last-minute shopping frenzy. Plus, L.A. County has its first human case of H5 bird flu. And is Disney "bending the knee" by backing away from "political" themes? The L.A. Local is sponsored by the LA Car Guy family of dealerships.

In this mini episode of Transmissible: A Public Health Podcast, host Jessica Stahl dives into the latest updates on the H5 bird flu (avian influenza) situation as of December 9, 2024. With her promise to keep listeners informed on global health issues, Jessica breaks down the current status of bird flu in North America, focusing on its impact on wild birds, poultry, and dairy cattle. Jessica reviews key data from CDC and USDA, including new federal orders for national milk testing and the broader implications for public health. She explains the science behind H5's transmission potential and its low current risk to humans while highlighting the extensive surveillance and testing efforts underway. Jessica also discusses the historical context of the 1997 H5N1 outbreak in Hong Kong. Follow Transmissible:

In this episode of “Answers From the Lab,” host Bobbi Pritt, M.D., chair of the Division of Clinical Microbiology at Mayo Clinic, is joined by William Morice II, M.D., Ph.D., CEO and president of Mayo Clinic Laboratories, to discuss the latest in infectious disease outbreaks.    Specific topics of discussion include:Recent trends in the spread of H5 bird flu and dengue fever. Why it's important to think globally when monitoring infectious diseases.Extra precautions to take during the holiday travel season to keep you and those around you healthy.

Cal Exit: California, by a wide margin, saw a net loss of more workers than any other state in 2023, according to a new report from the National Association of Realtors. The Golden State saw nearly 87,000 professionals leave for opportunities elsewhere while 69,000 moved to California, the association found, based on data from the U.S. Census Bureau. Doomsday: A dead oarfish found along the Southern California coast marks the state's third sighting of the so-called "doomsday fish" this year. LA Law: The Law Makers, Law Breakers and times that there oughta be a law. SoCal Sickos: The Centers for Disease Control and Prevention said on Friday it has confirmed a human infection with H5N1 bird flu in a child in California. This is the first reported avian influenza H5 virus infection in a child in the nation. An investigation into how the child was exposed to the virus is ongoing.

This episode discusses four MMWR reports. First, CDC finds evidence of additional H5 bird flu infections among dairy workers - personal protective equipment can help protect against infection. Second, Guinea worm disease is close to eradication, yet obstacles remain. Last, overdose deaths in the U.S. with ketamine detected are rare but increasing.

The state Department of Health on Thursday revealed more details on the detection of the H5 avian influenza on Oahu. Officials say the specimen was collected on Nov. 7 from the Wahiawa Wastewater Treatment Plant as part of routine testing and DOH received the result Tuesday.See omnystudio.com/listener for privacy information.

More than six million Canadians don't have a family doctor. Millions more are waitlisted to see specialists and surgeons. We've never spent so much on healthcare as a nation, yet access to care has never been worse. How do we begin to heal healthcare?  2:45 | Drs. Shazma Mithani and Sheila Wijayasinghe, hosts of The Doc Talk podcast, tell us how the average Canadian can better know their rights and advocate for themselves and their loved ones. We cover today's top healthcare-related stories, including the first case of H5 bird flu in Canada, and Alberta cutting off publicly-funded vaccines for community health centres. Plus, is that $2,000 full body scan you're considering actually worth it?  CHECK OUT THE DOC TALK PODCAST: https://podcasts.apple.com/ca/podcast/the-doc-talk-podcast/id1775772809 1:06:00 | Real Talkers Ken and Mark share why our Remembrance Day episodes had such an impact on them, and Real Talker Don fact checks a comment Ryan made about former astronaut and federal cabinet minister Marc Garneau.  D-DAY VET MARTY JONES ON REAL TALK: https://rtrj.info/111124MartyJones REMEMBRANCE DAY ROUND TABLE: https://rtrj.info/110824NSLA 1:13:00 | Real Talker Keith from Leduc tells us why he was "aggravated" by our episode after the U.S. presidential election.  EMAIL THE SHOW: talk@ryanjespersen.com  FOLLOW US ON TIKTOK, TWITTER, & INSTAGRAM: @realtalkrj REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON:   / ryanjespersen   THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Listen to Vassy's full conversation with Canada's ambassador to the United States — and co-lead of the federal government's Team Canada war room Kisrten Hillman on what the future of Canada's relationship with the U.S might look like under a Trump administration.  On todays show:  Mélanie Morin-Pelletier, Historian, War and Society, Canadian War Museum joins guest host Stefan Keyes to discuss the importance of the roles undertaken by Canadian women during the First and Second World War and to reflect on the significance of Remembrance Day.  Denis Hamel, strategic advisor to the Conseil du patronat du Québec – a lobby group representing employers joins guest host Stefan Keyes to discuss how immigration is top of mind in Quebec amid concerns over U.S. deportations. The Daily Debrief Panel with Laura D'Angelo, Tim Powers, and Tom Mulcair.  Dr. Christopher Labos, cardiologist and medical writer with a degree in epidemiology and author of Does Coffee Cause Cancer?: And 8 More Myths about the Food We Eat joins guest host Stefan Keyes to discuss what we know about Canada's 1st human case of H5 detected in B.C.

durée : 00:02:06 - Le billet sciences - Un adolescent est soigné dans un hôpital pour enfants canadien pour une grippe aviaire causée par le virus de souche H5. Depuis le début de l'année 2024, des souches apparues aux États-Unis développent une capacité inédite à contaminer de nouvelles espèces.

Bird flu, formally identified as H5N1 flu, is a virus that is being found in wild and domestic birds, as well as occasionally in cattle. This particular avian influenza virus has been around for over 26 years and has been extensively studied. Despite the alarms raised about ‘bird flu,' there are only rare examples of human infection from this virus, especially in developed countries.   Despite the rarity of human infection by the H5N1 virus, the CDC, FDA, WHO, and other agencies overseeing disease spread have been pursuing the creation and manufacture of H5 vaccines for defense against H5-type viruses, including the H5N1 virus.   We have been among many, including here and here, who are critical of the biolab industry that participates in genetic manipulation and gain of function (GoF) experiments with viruses and other pathogens. The stated purpose is to prove that a harmless virus can be reengineered in a lab into a pathogen to show that nature could do the same thing. Thus, billions of dollars and untold thousands of hours and the most advanced biotechnologies have been utilized to reengineer harmless bat viruses into SARs CoV viruses. But it says nothing about the possibility of this happening in nature.   Instead of nature producing potential pandemics, the mad globalist scientists in the service of the military-industrial complex are making them in their own labs. Many are calling for the end of gain-of-function research because it is a huge financial drain, it produces accidental exposures to pathogens, and it is part of the biowarfare industry that needs to be reined in.   The pandemic industry is a multibillion-dollar operation, even when there is no epidemic or pandemic outbreak. An expanding collection of international organizations and non-government agencies, as well as many national organizations, are tasked with surveying, identifying, quantifying, and treating disease outbreaks. This conglomerate is a highly dangerous arm of the global predators and a favorite weapon against humanity. It is one of their primary avenues for terrorizing and controlling us.   Disease Monitoring and Treatment Becomes Weaponized As we discovered in the COVID-19 outbreak, the entire international and national health industry, from monitoring diseases to treatment of sick individuals, has been weaponized.   Perhaps, once upon a time, health and pharmaceutical companies were oriented to preserve health and prevent disease and death—at least, that is what we are told. But no more. Health and pharmaceutical industry agencies and organizations are profit and control-oriented. Fortunes have been made promoting “diseases” and ‘treatments.' But now disease control is also being misused to test and enlarge the degree of control citizens will accept and the amount of freedom citizens will forfeit and ask their fellow citizens to forfeit in order to “be safe.”   Weaponizing Fear of Disease   Fear of disease has become one of the most potent means of controlling a population. This has spawned a field of study called the “parasite stress hypothesis.” Our guest on today's show, Karen Kingston, brought this to our attention. The parasite stress hypothesis examines the correlation between the high prevalence of pathogens and a population's increased vulnerability to totalitarian governance.   At the center of our psyche, we want to survive. We don't want to die. Disease can bring death, and avoiding illness is part of avoiding premature death. We all learned as children to trust doctors to help us stay well or to heal, and the science we were taught was based on fact and was considered the truth we could trust. Civilian populations still maintain a degree of trust and thus are increasingly likely to be compliant if orders are being issued regarding disease.   How Globalism Seizes Control   A huge and continuously growing number of national and international organizations, agencies, departments, and non-profits are part of the epidemic and disease industry. And that industry is now designed for population control. The United Nations (UN) has even created a term, One Health, in which public health becomes political totalitarian control One Health is a World Health Organization (WHO) approach to disease that “aims to sustainably balance and optimize the health of people, animals and ecosystems.” WHO further declares, “Having the One Health approach in place makes it easier for people to understand better the co-benefits, risks, trade-offs, and opportunities to advance equitable and holistic solutions.”   The concept conveniently expands the authority and control of the disease industries exponentially and places animals and the environment on par with or above humans.   Fear of Disease Jumping from Animals   One of the biggest fears advertised by the disease industry is the cross-species transmission of disease. This is the idea that a disease in an animal can ‘evolve' or morph into a disease that is able to infect humans—a very rare occurrence.   The increased contact between humans and infected animals is blamed for the creation of species-jumping diseases. I first heard about the concept of diseases jumping species in a National Geographics lecture I attended with my husband, Peter Breggin, in the mid-1980s. Dr. Birute Mary Gladikas was lecturing on her work in Indonesia, where she lived with orangutans in the wild. Like Jane Goodall (whom we also heard about working with gorillas on a different evening), Dr. Gladikas lived among the orangutans in the Borneo jungle. They contributed greatly to the human knowledge of one of our closest primate cousins. As she wrapped up her lecture, she cautioned the audience about civilization encroaching on the wilderness jungles, enabling diseases to which humans had never been exposed to “jump” and infect human populations, spreading in dangerous and uncontrollable ways.   The concept was unnerving, eliciting unease and fear about unknown pathogens, exotic diseases from untamed places, and the idea that all must urgently be controlled. In retrospect, it was a propaganda strategy for protecting animals and nature from “evil” humans. Beyond that, it was a strategy for justifying humans' tinkering with pathogens in far more dangerous ways than nature.   As part of hyping the assumed threat, in the early to mid-1980s, AIDs was being identified and hypothesized as having “jumped” from a primate to a human in the jungle who had eaten “bush” meat—monkey meat.   If the rarity of the cross-species transfer of disease was admitted and the frequency of leaks from Biolabs acknowledged, this entire industry of virus gain-of-function tweaking would be terminated. Huge profits for the global predator class would be forfeited.   H5N1 Avian Influenza Reported to WHO   The WHO reports a 53% fatality rate in human cases of bird flu. This single statistic is the lynchpin that makes the emergency of bird flu most alarming. Over half of all human cases of bird flu resulted in death! Not so fast. This statistic consisted of 862 cases reported between 2003 and 2022. However, in the US, in 2024, the number of humans contracting bird flu rose to 31 sick people, without a single death to date.   Further, an examination of the WHO statistical data presented in the chart “Cumulative number of confirmed human cases for avian influenza A(H5N1) reported to WHO, 2003-2021” shows that the numbers of bird flu deaths skyrocketed in third-world countries, which also experience extreme poverty and primitive to nonexistent hygiene infrastructure, such as clean water and sound cooking practices and the unavailability of modern healthcare. Finally, both the total number of infected cases and the number of deaths markedly dropped in the most recent years.     Our guest on America Out Loud Pulse this week, Karen Kingston, declared, “The WHO's planned 2024-25 flu pandemic and release of highly dangerous, disease-causing H5N1 virus vaccines are fully locked and loaded by the FDA and other departments of Health Human Services (HHS).” She warns there is a chance that vaccines for H5N1 may be mandated and that the vaccines for H5N1 are already stockpiled.   Kingston points out that the FDA Vaccines Advisory Committee Meeting on October 10, 2024, discussed influenza pandemics, US licensed and market-approved influenza vaccines, and then went on to consider bird flu vaccines. They discussed the prototype H5N1 vaccine approval process to date, different strains, and a proposed process for updating vaccines depending upon the illness and outbreak, especially to be used preventively prior to the outbreak.   Kingston warns that the limited circulation of H5N1 among wild and domestic birds and fowl, as well as cattle, may be used as a rationale for calling for a vaccination program to ward off a bird flu pandemic among humans. This sounds like the next COVID-19-like assault on the freedom of humanity with the aim of draining yet more wealth from the people while turning up the screws of totalitarianism.   We urge you to approach all vaccines with extreme caution, to especially resist any and all attempts to frighten you and to insist that so-called public health emergencies are never allowed to subvert our Constitutional rights or the healthy functioning of society.     Learn more about Dr. Peter Breggin's work: https://breggin.com/   See more from Dr. Breggin's long history of being a reformer in psychiatry: https://breggin.com/Psychiatry-as-an-Instrument-of-Social-and-Political-Control   Psychiatric Drug Withdrawal, the how-to manual @ https://breggin.com/a-guide-for-prescribers-therapists-patients-and-their-families/   Get a copy of Dr. Breggin's latest book: WHO ARE THE “THEY” - THESE GLOBAL PREDATORS? WHAT ARE THEIR MOTIVES AND THEIR PLANS FOR US? HOW CAN WE DEFEND AGAINST THEM? Covid-19 and the Global Predators: We are the Prey Get a copy: https://www.wearetheprey.com/   “No other book so comprehensively covers the details of COVID-19 criminal conduct as well as its origins in a network of global predators seeking wealth and power at the expense of human freedom and prosperity, under cover of false public health policies.”   ~ Robert F Kennedy, Jr Author of #1 bestseller The Real Anthony Fauci and Founder, Chairman and Chief Legal Counsel for Children's Health Defense.

America Out Loud PULSE with Dr. Peter & Ginger Breggin – Bird flu (H5N1) rarely infects humans, yet global health agencies push for H5 vaccines and gain-of-function research continues in biolabs. This industry, driven by profit and control, leverages fear of pandemics for power. The global response weaponizes health, threatening freedoms under the guise of safety, as public trust in health systems declines.

America Out Loud PULSE with Dr. Peter & Ginger Breggin – Bird flu (H5N1) rarely infects humans, yet global health agencies push for H5 vaccines and gain-of-function research continues in biolabs. This industry, driven by profit and control, leverages fear of pandemics for power. The global response weaponizes health, threatening freedoms under the guise of safety, as public trust in health systems declines.

We look at the current cattle market, including the bred heifer market and look at what the future may bring. Plus we have market updates, hay for sale and lots more on this all new episode of the Ranch It Up Radio Show. Be sure to subscribe on your favorite podcasting app or on the Ranch It Up Radio Show YouTube Channel. EPISODE 208 DETAILS How High Can Cattle Prices Go & Industry News Will Cattle Prices Remain Strong This Fall Cattle Prices & Markets Explained Producers are watching markets closely as many are selling and shipping feeder cattle.  Kirk Donsbach with Stone X Financial, INC. shares current cattle market trends and what this could mean for producers. Latest Beef Industry News   Vet Says Beef Producers Must Step Up With H5 Testing A leading scientist and veterinarian, Kay Russo, warns the beef industry to start monitoring for H5 bird flu crossover from infected dairy herds. Speaking on the MeetingPod podcast, Russo noted that while the virus was first detected in dairy cattle in March and has since impacted poultry farms and workers, there's limited data on beef cattle. Russo, with a DVM from Cornell and a master's in avian health from the University of Georgia, emphasized the importance of testing beef cattle for antibodies now that a validated test exists. She stressed, "We can only manage what we know, and this virus isn't going away. For the complete article click HERE. Canadian Herd To Stabilize In 2025 The Canadian cattle herd is forecast to sustain the long-term trend of contraction to begin 2025 but will begin to stabilize by year's end on improved feed pricing and availability. A smaller calf crop will be produced based on 2024 breeding stock but heifer retention should improve if feed conditions continue to remain stable or improve. Higher heifer retention coupled with a smaller calf crop will see lowered beef production and slaughter in 2025. As a percent of production, Canadian beef exports are forecast to remain strong while imports are forecast to soften on weakened consumer demand. For the complete article, click HERE. U.S. Beef Imports Up 21% in 2024 Through August 2024, U.S. beef imports saw a notable increase of 20.87%, rising from 2.51 billion pounds in 2023 to 3.03 billion pounds in 2024. Among the top contributing countries, Canada remained the largest supplier with 658.83 million pounds, a 3.18% increase from last year. Australia showed the most significant growth, with imports surging by 69.95%, reaching 635.69 million pounds, making it the second-largest beef exporter to the U.S. after Canada. Brazil also experienced a sharp increase of 41.89%, with imports growing to 496.21 million pounds. On the other hand, Mexico saw a decrease of 15.54%, with imports dropping to 386.07 million pounds. Uruguay recorded the highest percentage growth among all countries, with imports increasing by 71.46% to 198.20 million pounds. New Zealand and Nicaragua also contributed to U.S. beef imports, with increases of 8.75% and 1.76%, respectively. This growth in imports reflects increased global beef supply, with particular strength from regions like Australia and Uruguay, offsetting declines from Mexico. Overall, the U.S. beef import market has expanded significantly year-over-year. For the complete article click HERE. Faith Livestock, Faith, South Dakota Charolais Influenced Feeder Calf Sale October 16, 2024 proved to be a powerful day for selling Charolais Influenced Feeder Cattle.  Check out the current market report HERE. RanchChannel.Com Now Has The Futures Markets Futures Markets RanchChannel.com now has futures markets at your fingertips!  Feeder Cattle, Live Cattle, Corn, Wheat, Soybeans, Soybean Oil, Milk Class IV, and Ethanol.  Information is provided by DTN and market information may be delayed by as much as 10 minutes.  Click Here for more information! UPCOMING SALES & EVENTS JYJ Red Angus:  November 9, 2024, Columbia, Alabama Clear Springs Cattle Company: November, 20, 2024, Starbuck, MN World Famous Miles City Bucking Horse Sale: May 15 - 18, 2025   BULL SALE REPORT & RESULTS Churchill Cattle Company Van Newkirk Herefords Gardiner Angus Ranch Cow Camp Ranch Jungels Shorthorn Farms Ellingson Angus Edgar Brothers Angus Schaff Angus Valley Prairie Hills Gelbvieh Clear Springs Cattle Company CK Cattle Mrnak Hereford Ranch Frey Angus Ranch Hoffmann Angus Farms Topp Herefords River Creek Farms Upstream Ranch Gustin's Diamond D Gelbvieh Schiefelbein Farms Wasem Red Angus Raven Angus Krebs Ranch Yon Family Farms Chestnut Angus Eichacker Simmentals & JK Angus Windy Creek Cattle Company Pedersen Broken Heart Ranch Mar Mac Farms Warner Beef Genetics Arda Farms & Freeway Angus Leland Red Angus & Koester Red Angus Fast - Dohrmann - Strommen RBM Livestock Weber Land & Cattle Sundsbak Farms Hidden Angus Wheatland Cattle Company Miller Angus Farms L 83 Ranch U2 Ranch Vollmer Angus Ranch A & B Cattle Carter Angus Farms Roller Ranch Montgomery Ranch Jorgensen Farms DLCC Ranch Four Hill Farm North Country Angus Alliance Spruce Hill Ranch Wilson Angus Jorgensen Land & Cattle Motherlode Sale ISA Beefmasters   FEATURING Kirk Donsbach: Stone X Financial https://www.stonex.com/   @StoneXGroupInc      Mark Vanzee Livestock Market, Equine Market, Auction Time https://www.auctiontime.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ @LivestockMkt @EquineMkt @AuctionTime Shaye Koester Casual Cattle Conversation https://www.casualcattleconversations.com/ @cattleconvos   Questions & Concerns From The Field? Call or Text your questions, or comments to 707-RANCH20 or 707-726-2420 Or email RanchItUpShow@gmail.com FOLLOW Facebook/Instagram: @RanchItUpShow SUBSCRIBE to the Ranch It Up YouTube Channel: @ranchitup Website: RanchItUpShow.com https://ranchitupshow.com/ The Ranch It Up Podcast is available on ALL podcasting apps. https://ranchitup.podbean.com/   Rural America is center-stage on this outfit. AND how is that? Tigger & BEC Live This Western American Lifestyle. Tigger & BEC represent the Working Ranch world and cattle industry by providing the cowboys, cowgirls, beef cattle producers & successful farmers the knowledge and education needed to bring high-quality beef & meat to your table for dinner. Learn more about Jeff 'Tigger' Erhardt & Rebecca Wanner aka BEC here: TiggerandBEC.com https://tiggerandbec.com/ #RanchItUp #StayRanchy #TiggerApproved #tiggerandbec #rodeo #ranching #farming References https://www.stonex.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ https://www.auctiontime.com/ https://gelbvieh.org/ https://www.imogeneingredients.com/ https://alliedgeneticresources.com/ https://westwayfeed.com/ https://medoraboot.com/ http://www.gostockmens.com/ https://www.imiglobal.com/beef https://www.tsln.com/ https://transova.com/ https://axiota.com/ https://axiota.com/multimin-90-product-label/ https://jorgensenfarms.com/ https://www.bredforbalance.com/ https://ranchchannel.com/ https://www.wrangler.com/ https://www.ruralradio147.com/ https://www.rfdtv.com/ https://thehappytoymaker.com/ https://www.meatingplace.com/Industry/News/Details/116468 https://www.cattlebusinessweekly.com/articles/canadian-herd-to-stabilize-in-2025/ https://www.nationalbeefwire.com/beef-imports

It's the Ranch It Up Radio Show Herd It Here Weekly Report!  A 3-minute look at cattle markets, reports, news info, or anything that has to do with those of us who live at the end of dirt roads.  Join Jeff 'Tigger' Erhardt, the Boss Lady Rebecca Wanner aka 'BEC' by subscribing on your favorite podcasting app or on the Ranch It Up Radio Show YouTube Channel. EPISODE 52 DETAILS Could H5 Bird Flu Hit Our Beef Cattle Herds? Vet Says Beef Producers Must Step Up With H5 Testing A leading scientist and veterinarian, Kay Russo, warns the beef industry to start monitoring for H5 bird flu crossover from infected dairy herds. Speaking on the MeetingPod podcast, Russo noted that while the virus was first detected in dairy cattle in March and has since impacted poultry farms and workers, there's limited data on beef cattle. Russo, with a DVM from Cornell and a master's in avian health from the University of Georgia, emphasized the importance of testing beef cattle for antibodies now that a validated test exists. She stressed, "We can only manage what we know, and this virus isn't going away. For the complete article click HERE. New Suspected H5 Cases In Humans Reported In Washington State Health officials suspect that a strain of avian influenza linked to poultry operations has reached Washington State. The Washington State Department of Health (WSDH) reported four agricultural workers in Franklin County tested positive for H5 after working with infected birds at an egg-laying farm. About 800,000 birds were culled after testing positive for highly pathogenic avian influenza (HPAI). The workers, who had mild symptoms, received antiviral treatment, according to WSDH.   For the complete article, click HERE.     SPONSORS Trans Ova Genetics https://transova.com/ @TransOvaGenetics American Gelbvieh Association https://gelbvieh.org/ @AmericanGelbvieh Allied Genetic Resources https://alliedgeneticresources.com/ @AlliedGeneticResources Axiota Animal Health https://axiota.com/ @MultiminUSA Jorgensen Land & Cattle https://jorgensenfarms.com/ @JorLandCat Ranch Channel https://ranchchannel.com/ @RanchChannel   Questions & Concerns From The Field? Call or Text your questions, or comments to 707-RANCH20 or 707-726-2420 Or email RanchItUpShow@gmail.com FOLLOW Facebook/Instagram: @RanchItUpShow SUBSCRIBE to the Ranch It Up YouTube Channel: @ranchitup Website: RanchItUpShow.com https://ranchitupshow.com/ The Ranch It Up Podcast is available on ALL podcasting apps. https://ranchitup.podbean.com/   Rural America is center-stage on this outfit. AND how is that? Because of Tigger & BEC... Live This Western Lifestyle. Tigger & BEC represent the Working Ranch world by providing the cowboys, cowgirls, beef cattle producers & successful farmers the knowledge and education needed to bring high-quality beef & meat to your table for dinner. Learn more about Jeff 'Tigger' Erhardt & Rebecca Wanner aka BEC here: TiggerandBEC.com https://tiggerandbec.com/ #RanchItUp #StayRanchy #TiggerApproved #tiggerandbec #rodeo #ranching #farming REFERENCES https://www.meatingplace.com/Industry/News/Details/116468 https://www.meatingplace.com/Industry/News/Details/116519

Howie and Harlan are joined by Margaret McGovern, deputy dean for clinical affairs at the Yale School of Medicine, CEO of Yale Medicine, and chief physician executive of the Yale New Haven Health System. They discuss her path from the lab to healthcare leadership, and her efforts to better align Yale's medical school and its health system. Harlan reflects on the anniversary of the September 11 attacks; Howie provides an update on the bird flu outbreak.  Links: September 11 “60 Minutes remembers 9/11: The FDNY” Margaret McGovern “McGovern Welcomed as Yale Medicine CEO” “Margaret McGovern, MD, PhD, Appointed YSM Deputy Dean and CEO of Yale Medicine” “What is Translational Research?” “Three SBU Leaders Honored for Outstanding Service During Pandemic” “What Are Relative Value Units (RVUs)?” “You're Invited: Alignment-Focused Town Halls” “Clinically Integrated Networks” “Elevating Patient Access and the Consumer Experience” Bird Flu “Current H5N1 Bird Flu Situation in Dairy Cows” “How CDC is monitoring influenza data among people to better understand the current avian influenza A (H5N1) situation” “5 burning questions about Missouri's mysterious H5 bird flu case” Learn more about the MBA for Executives program at Yale SOM. Email Howie and Harlan comments or questions.

Howie and Harlan are joined by Margaret McGovern, deputy dean for clinical affairs at the Yale School of Medicine, CEO of Yale Medicine, and chief physician executive of the Yale New Haven Health System. They discuss her path from the lab to healthcare leadership, and her efforts to better align Yale's medical school and its health system. Harlan reflects on the anniversary of the September 11 attacks; Howie provides an update on the bird flu outbreak.  Links: September 11 “60 Minutes remembers 9/11: The FDNY” Margaret McGovern “McGovern Welcomed as Yale Medicine CEO” “Margaret McGovern, MD, PhD, Appointed YSM Deputy Dean and CEO of Yale Medicine” “What is Translational Research?” “Three SBU Leaders Honored for Outstanding Service During Pandemic” “What Are Relative Value Units (RVUs)?” “You're Invited: Alignment-Focused Town Halls” “Clinically Integrated Networks” “Elevating Patient Access and the Consumer Experience” Bird Flu “Current H5N1 Bird Flu Situation in Dairy Cows” “How CDC is monitoring influenza data among people to better understand the current avian influenza A (H5N1) situation” “5 burning questions about Missouri's mysterious H5 bird flu case” Learn more about the MBA for Executives program at Yale SOM. Email Howie and Harlan comments or questions.

De tiende aflevering van Uniek Sporten Vandaag vanuit Parijs gemist? Robert Denneman en Nike Boor, directeur van Fonds Gehandicaptensport, ontvingen in het TeamNL Huis medaillewinnaars Mitch Valize, Kimberly Alkemade en Diede de Groot. Mitch wist bij zowel de tijdrit als de wegrit goud te veroveren in de handbike H5-klasse, Kimberly pakte in het atletiek goud op de 200 meter en zilver op de 100 meter in de T64-klasse en Diede pakte zowel in het enkel- als dubbelspel het zilver in het rolstoeltennis. In de studio schoof daarnaast ook negenvoudig paralympiër en viervoudig medaillewinnaar Johan Reekers aan en spraken Robert en Nike met Jacqueline van den Hil, die namens de VVD in de Tweede Kamer zit. Van 29 augustus tot en met 8 september staan dagelijks de uitzendingen geheel in het teken van de Paralympische Spelen. Elke dag van 17:00 tot 18:00 uur presenteren Robert Denneman en Nike Boor speciale uitzendingen van Uniek Sporten Vandaag. In deze uitzendingen worden studiogasten ontvangen, interviews afgenomen en zijn er reportages vanuit Parijs. Alle uitzendingen en interviews van Uniek Sporten Vandaag tijdens de Paralympische Spelen zijn na afloop terug te luisteren via www.allsportsradio.nl en alle bekende podcastkanalen. Uniek Sporten Vandaag is een productie van ALLsportsradio en Fonds Gehandicaptensport, met steun van de Nederlandse Loterij. NOC*NSF draagt bij aan het programma met studiogasten en biedt een centrale locatie in het TeamNL Huis.

Today On Medical Grounds, we will be speaking with Dr. Matt Binnicker, Director of Clinical Virology at Mayo Clinic about bird flu. Highly pathogenic avian influenza viruses have been detected in wild aquatic birds, commercial poultry, and backyard flocks beginning around January 2022 in the U.S. To date, over 100,700,000 birds have been affected. Recently, cases of bird flu have been detected in 171 dairy herds, and there have been 13 reported human cases in the U.S. There have also been human cases reported overseas. Dr. Binnicker joins us to share his knowledge of bird flu, vaccines, and whether we need to be concerned about a new pandemic.(00:09) Introduction to Dr. Binnicker(01:12) Introduction to bird flu(03:57) Morphology and rapid mutation of avian influenza(06:47) The problem with pigs(09:23) Human concerns(11:11) Transmission through raw milk(13:33) Developing a lab test for H5 avian influenza(17:15) H5 vaccinations and vaccine availability(20:33) Role of climate change in a future avian influenza pandemic(22:27) What keeps Dr. Binnicker up at nightVisit us at OnMedicalGrounds.com for more podcasts or download our app! You can subscribe through your podcast platform, our website, or follow us on social media for podcast updates and medical news. Some of our podcasts offer FREE CME/CE credits.LinkTreeTwitterLinkedInInstagram

A virologist says Australia should have spent more, and sooner, to protect the country from the H5 strain of bird flu, the nation's leading grape and wine research institute loses almost 17% of its workforce due to the industry downturn, and bush foods and native grains a major focus during NAIDOC Week.

The Federal Government announces almost $7million to combat the threat of the deadly H5 strain of avian influenza, confidence down among SA sheepmeat and wool producers in the latest MLA survey, and Riverland wine producers estimate a $600million possible revenue loss in the last few years due to low grape prices.

It's return guest season here at Latent Space! We last talked to Kanjun in October and Jonathan in May (and December post Databricks acquisition): Imbue and Databricks are back for a rare treat: a double-header interview talking about DBRX from Databricks and Imbue 70B, a new internal LLM that “outperforms GPT-4o” zero-shot on a range of reasoning and coding-related benchmarks and datasets, while using 7x less data than Llama 3 70B.While Imbue, being an agents company rather than a model provider, are not releasing their models today, they are releasing almost everything else: * Cleaned-up and extended versions of 11 of the most popular NLP reasoning benchmarks* An entirely new code-focused reasoning benchmark* A fine-tuned 70B model, built with Meta Llama 3, to identify ambiguity* A new dataset of 450,000 human judgments about ambiguity* Infrastructure scripts for bringing a cluster from bare metal to robust, high performance training* Our cost-aware hyperparameter optimizer, CARBS, which automatically and systematically fine-tunes all hyperparameters to derive optimum performance for models of any sizeAs well as EXTREMELY detailed posts on the infrastructure needs, hyperparameter search, and clean versions of the sorry state of industry standard benchmarks. This means for the FIRST TIME (perhaps since Meta's OPT-175B in 2022?) you have this level of educational detail into the hardware and ML nitty gritty of training extremely large LLMs, and if you are in fact training LLMs of this scale you now have evals, optimizers, scripts, and human data/benchmarks you can use to move the industry forward together with Imbue.We are busy running the sold-out AI Engineer World's Fair today, and so are unable to do our usual quality writeup, however, please enjoy our show notes and the excellent conversation! Thanks also to Kanjun, Ashley, Tom and the rest of team Imbue for setting up this interview behind the scenes.Video podTimestamps* [00:00:00] Introduction and catch up with guests* [00:01:55] Databricks' text to image model release* [00:03:46] Details about the DBRX model* [00:05:26] Imbue's infrastructure, evaluation, and hyperparameter optimizer releases* [00:09:18] Challenges of training foundation models and getting infrastructure to work* [00:12:03] Details of Imbue's cluster setup* [00:18:53] Process of bringing machines online and common failures* [00:22:52] Health checks and monitoring for the cluster* [00:25:06] Typical timelines and team composition for setting up a cluster* [00:27:24] Monitoring GPU utilization and performance* [00:29:39] Open source tools and libraries used* [00:32:33] Reproducibility and portability of cluster setup* [00:35:57] Infrastructure changes needed for different model architectures* [00:40:49] Imbue's focus on text-only models for coding and reasoning* [00:42:26] CARBS hyperparameter tuner and cost-aware optimization* [00:51:01] Emergence and CARBS* [00:53:18] Evaluation datasets and reproducing them with high quality* [00:58:40] Challenges of evaluating on more realistic tasks* [01:06:01] Abstract reasoning benchmarks like ARC* [01:10:13] Long context evaluation and needle-in-a-haystack tasks* [01:13:50] Function calling and tool use evaluation* [01:19:19] Imbue's future plans for coding and reasoning applications* [01:20:14] Databricks' future plans for useful applications and upcoming blog postsTranscriptSWYX [00:00:00]: Welcome to the Latent Space Podcast, another super special edition. Today, we have sort of like a two-header. John Frankel from Mosaic Databricks, or Databricks Mosaic, and Josh Albrecht from MBU. Welcome.JOSH [00:00:12]: Hey, glad to be here.SWYX [00:00:14]: Thank you for having us. Hey, so both of you are kind of past guests. Jonathan, you were actually one of the most popular episodes from last year talking about MPT7B. Remember the days when we trained large models and there was 7B?JONATHAN [00:00:30]: Yeah, back when reproducing LLAMA1-7B was considered a huge accomplishment for the field. Those are the good old days. I miss that.SWYX [00:00:38]: As the things have accelerated a lot. Actually, let's do a quick catch up and Josh, you can chime on in as well. So Databricks got acquired. I talked to you at New York.JONATHAN [00:00:45]: Mosaic got acquired, although sometimes it feels like Mosaic acquired Databricks because, you know, we're having a lot of fun being here. But, you know, yeah.SWYX [00:00:52]: Yeah. I mean, you are chief scientist now of Databricks.JONATHAN [00:00:55]: Chief AI scientist. Careful with the title. As much as I would love to understand how Spark works, I'm going to have to defer that to much smarter people than me.SWYX [00:01:03]: Got it. And I don't know about like what you would highlight so far as a post-acquisition, but the most recent news is that you guys released DBRX. Is that the thing that most people should be aware of?JONATHAN [00:01:13]: Actually, that's no longer the most recent news. Honestly, the most recent news, we announced this, but it was at our Data and AI Summit last week. So it was announced among like 100,000 other things, is that we finally released our text to image model, which has been a year in the making through a collaboration directly with Shutterstock. There was a lot of work put into finding a dataset that we were comfortable with working on and trying to build a model that honestly, I felt like I could trust and that others might be able to trust to put out in the world. So that model was released last week. It's unfortunately just available via API due to the fact that the data is quite sensitive and quite valuable. It's Shutterstock's entire business in a lot of ways, but I'm still really excited that there's now a model that is trained on a dataset where the provenance of every single image is known, and it's a damn good model. So I'm really proud of the team on that.SWYX [00:01:55]: Yeah, amazing. Josh, do you have any thoughts on image model questions?JOSH [00:01:59]: That is not my area of expertise, but I was excited to see the release of it last week as well, and very happy that you guys did a nice job on the data side of everything there. So that was cool to see.SWYX [00:02:09]: I think what's unusual is like, I think Shutterstock's doing multiple deals in multiple labs. So what is the Shutterstock model? Like, I guess, is this the house model for Shutterstock? Is this Databricks' version of the Shutterstock model? Like, what is this?JONATHAN [00:02:22]: The way that I would think about it is that Shutterstock is doing an amazing business in AI across the board. Their dataset is kind of widely known to be the best stock photos dataset in the world, the most comprehensive, the biggest. When you think about like, what dataset am I going to train a multimodal model on? You call Shutterstock. And I, at least I've heard in the news, like OpenAI, Google, Meta, Apple have all called Shutterstock and made those deals. So a lot of models have had Shutterstock data incorporated into them. But this is the only model I know of so far where it was, you know, exclusively and specifically trained just on the vanilla Shutterstock data. There was nothing else mixed in. We didn't go and scrape the web and find other data or combined datasets or anything like that. And so this is, in some sense, the house blend. But the other piece is that it's just a dataset where the provenance of every image is known in public. Where did the data come from? It is the Shutterstock collection. That's it. You know, nothing less, nothing more. And certainly being at Databricks, if I've learned one thing, I've learned about enterprise customers and what they want out of AI. And one of the things they ask for most is just, what can you tell me about the data the model was trained on? And here, especially for text to image models, where images are just tricky subject matter, there's been a lot of kind of legal conversation about images, especially. It's nice to just have something where I can point to it and say, you know, if you want to know where the images came from, these are what they are and this is how they got there.SWYX [00:03:36]: I will talk a little bit about Databricks because it's relevant to the rest of today's episode. So Databricks, sorry, I keep misspeaking. It's DBRX.JONATHAN [00:03:46]: DBRX, actually, there's been a pronunciation update. It is now D-B-Rex. So we have decided to add a dinosaur mascot because what model doesn't like a mascot? So literally, I wish I could pull it up. There is a little plush dinosaur that we had made. It's like the world's cutest dinosaur, but it is the official mascot of D-B-Rex. And there's a little dinosaur logo that, you know, you'll probably see around a little bit more because DBRX is a mouthful, but D-B-Rex, like, you know, it's just kind of...SWYX [00:04:13]: Rolls off the tongue. I love mascots. Like every company should have a mascot. And I think Hugging Face got it right. You need an emoji mascot because that's the minimal viable image.JONATHAN [00:04:21]: I probably shouldn't talk at all about, you know, Velociraptor, but, you know, that's a, maybe that's something we can talk about later in the summer. I'll just leave it at that.SWYX [00:04:28]: Okay. That's a hint to names. I feel like your names leak a lot of alpha. So just to quickly cover the headline details, DBRX, as Make Sure Experts model, that's fairly big, 132 billion total parameters, so 36 billion active on any input, pre-trained on 12 trillion tokens of text and code, and did really well on evals to the point where you had to dye your hair blue. That's my high level conclusion.JONATHAN [00:04:53]: Never make a bet with your team two weeks out from model launch, even when, you know, human eval is looking quite bad. Because if you set some bar, even if it's arbitrary and you think there's no way in hell they're going to hit it, apparently money doesn't motivate people anymore. Humiliating their boss motivates people. So Josh, you should really take a hint from this. You know, you cannot pay someone enough money to make up for you dyeing your hair blue.JOSH [00:05:15]: I'll keep that in mind for our next model.SWYX [00:05:17]: It works. So speaking of Imbue's next model, perhaps Josh, you want to actually just say hi to the general sort of latent space audience and talk about what we're releasing today. Yeah.JOSH [00:05:26]: I'm Josh, CTO of Imbue, and we're not releasing the model. We're not releasing the weights, but we are releasing a bunch of different things that should make it easier for other people to make their own models. So I think right now, training foundation models from scratch is like a very difficult, time-consuming, expensive, kind of risky endeavor, especially for smaller companies. And the things that we're releasing hopefully make that at least a little bit easier. So the things that we're releasing fall into kind of three different buckets. One is infrastructure and scripts for dealing with the kind of hardware and hardware failures and understanding how well is the actually lowest level of thing actually working so that you can actually do your training at all and at a reasonable speed without having to constantly restart, etc. So infrastructure and training scripts. A second set of things is around the evaluation. So after you've trained it, like how well is this actually working and how do you know how well it's working? We're releasing a whole bunch of different data there, a new benchmark about code, reasoning, understanding, as well as our own private versions of 11 different open source benchmarks. So things like pool queue or ANLI, where we've gone through and kind of cleaned up the data as much as possible by looking at all the ones that models get wrong or that are flagged for ambiguity and also our own kind of private reproductions of those where we've done like a kind of clean room black box, like, okay, this is what the data set is supposed to be. Here are some examples. Let's make our own version of this to make sure that there is no data contamination, etc. To make sure that we're actually, you know, not testing on train. And then I think a final thing that we're releasing there is around 450,000 human judgments about ambiguity and question quality, which we used in the process of cleaning these evaluations and we also hope will be helpful for other people training kind of similar models. And then the third thing is CARBS, our hyperparameter, our cost-aware hyperparameter optimizer, which was especially helpful for being able to experiment at much smaller scales and then scale those experiments up to the much larger scale kind of on the first try without having to retry it. You don't want to be training, you know, 10, 20 different 70B models. You really want to get these larger modelsSWYX [00:07:30]: right on the first try.JOSH [00:07:30]: And so the ability to kind of tune things very precisely and learn scaling laws, not just for, you know, the like data and flops, but also for learning rate and all the other hyperparameters and see like how should you scale these things up was extremely valuable to us as we were training the larger models. Yeah, that's a lot of stuff.SWYX [00:07:49]: Yeah, exactly. So there's a bunch of stuffJOSH [00:07:50]: we'll have to go through all of it.JONATHAN [00:07:52]: Yeah, I just want to throw in how excited I am about this. This is the stuff that nobody ever talks about. That is the difference between success and failure in this stuff. Like, can you get your cluster to run? Can you get software on your cluster? Can you figure out what broke? Because fault tolerance is still not really built into any of the fundamental primitives of training models. And so if something breaks, you have to go figure out what broke, your job stops, you have to restart your job. It is a nightmare just to get to the point where anything can train on the cluster. A basic MPI hello world that has the GPUs talk to each other is hard enough, let alone actually training a model, let alone getting good performance out of the GPUs, let alone actually getting a model that converges to anything interesting. There's so many levels of things you have to accomplish. This is the kind of stuff that matters. I think to a point that Josh made earlier, before we got on here, there are plenty of weights out there. Nobody's released this.JOSH [00:08:46]: Yeah, that was part of the motivation actually is that there are lots of other things that are complimentary, but I have not seen nearly as much discussion about some of these other things that we think are pretty important. I mean, in some sense,SWYX [00:08:56]: I'm very excited to have Jonathan on because this is a little bit, you're a bread and butter with Mosaic. And I think you've released some part with Composer. And I think it's just really interesting to see like a different take, basically a full stack take that's kind of open source today.JONATHAN [00:09:18]: Yeah, it's really kind of, it's been an ordeal to figure this out. And every time something changes, whether it's a new GPU or even a new driver update, you get new creative errors and new things go wrong. And, you know, we've dealt with the weirdest things from, you know, our InfiniBand cables getting stolen from the data center twice, like in boxes before they arrived at the data center. Like, you know, Porch Pirate basically had stolen our InfiniBand cables back when those were hard to come by. To like, you know, weird recalls of switches to like the strangest stuff has happened. I have my favorite GPU failures I've seen, like ones where the GPU doesn't fail, it has a correctable memory issue and the memory correction causes the GPU to become a straggler and hold up the whole job. Like weird stuff happens and figuring out how to not just identify all of that, but then eventually productize it, is in some sense, the entire story of Mosaic and now Databricks in terms of our ML offering. Really, the thing we offer is we have gone through this suffering and figured out how to even productize that. It has been a pain in the butt.SWYX [00:10:20]: Yeah, it's a lot of work.JOSH [00:10:20]: I think my favorite failure was GPU is just giving wrong math. Like if they give errors, great, because you can see the errors, but if they just give you the wrong math back, not so fun.SWYX [00:10:30]: When did they give you wrong math?JOSH [00:10:32]: Like literally you could just, you know, add two things. For example, the numbers come back. They're not the numbers that they're supposed to be.JONATHAN [00:10:40]: I think it's important to say at this stage, just because like it, I think it goes without saying for Josh and I, but it's worth saying here, this isn't to say that like anything is wrong with us. It's not like NVIDIA did a bad job or, you know, Mellanox did a bad job or the like the server builder, the data center operator, the cloud provider, like the million other parties that are involved in building this. We are running these insane chips that are huge and complicated and built on tiny transistors at insane frequencies with insane heat in data centers that for the most part, were not built remotely for this kind of power or heat and have been retrofitted for this. Like failures happen on a good day with normal CPUs. And this is not a good day and not a normal CPU for the most part. It's fun to joke about all the weird things we see. This is not to say anybody's done anything wrong. This is just kind of part and parcel of working on a massive cluster running at multiple megawatts of power at a time.SWYX [00:11:32]: It's crazy. Yeah.JONATHAN [00:11:33]: So optical cables, like all sorts, like everything.SWYX [00:11:37]: I'll take the opportunity to start going to the sort of infra piece. There's just like a description of the infra just to give people a sense of what we talk about when we talk about massive clusters. So I'm just going to read off the blog post here. This post is about one cluster that has 4,092 H100 GPUs spread across 511 computers. They use unified fabric manager nodes, which manage the infinite band network. And you talk a little bit about your networking. Is there anything unusual about this setup that you'll call out to people?JOSH [00:12:03]: Yeah, actually this particular cluster is a little bit non-standard. The normal, like vanilla setup for these large clusters as vanilla as it can be is what's normally like a 127 node cluster. So closer to like 1024 GPUs instead of 4,000. Here we have a larger cluster. As you start to get into the larger clusters, the networking becomes a little bit more custom. It's a little bit more, it's a little bit trickier. It's a little bit more difficult to get these things to all be able to talk to each other at the same speed. And so this has, in this particular case, this is a three tier network architecture instead of two tiers, kind of the normal one. So most of the clusters are a little bit smaller. As you get to even larger scales, then this becomes even much more complicated,SWYX [00:12:43]: much more expensive.JOSH [00:12:43]: So we chose this particular scale, kind of knowing our own workloads and kind of what we wanted to do. This was kind of the right size for us. But yeah, I think it's not exactly vanilla already. It's already getting into kind of the custom territory.SWYX [00:12:54]: So my understanding is that there, and is there any part of this that comes with the Voltage Park deal that you guys had? Is that part of the hardware that you got from the deal with them?JOSH [00:13:04]: Yeah, so we worked really closely with Voltage Park to set up all their clusters and infrastructure and everything and kind of decide even like what to order, how should the networking work? Like we were very involved in kind of the construction and bring up of this. And that's what this post is about, is about that process of like bringing up all these, there's like different clusters in different places of different scales. So in this particular post, we're talking about this one 4096 GPU, but there are other clusters that they have as well. And we were very closely involved with figuring out the exact architecture and kind of the trade-offs that go along with picking, you know, those exact components. You really don't want to like place the wrong order because it takes months to get it and it's very expensive. So yeah, we were happy to help out with that.JONATHAN [00:13:43]: And then your bit of good cables get stolen.SWYX [00:13:44]: Yeah, yeah, exactly.JOSH [00:13:47]: We wanted to make sure that we ended up with compute that would work for us and that would also work for their other customers. And so we kind of helped design something so that we would get exactly what we were looking for. We knew that these kinds of details would be super important and that getting down to the level of the hardware and like having these good scripts and everything was going to be a core part of like actually getting this to work. I'm very glad that we did that. I don't think that most companies kind of take that full stack approach, but for us, it certainly paid off.SWYX [00:14:12]: Yeah, it's basically sort of built to spec. It's interesting that relationship because you usually, for the rest of us who don't operate at your scale, we take whatever we can get from cloud providers, but you are basically co-designing from the single machine up. And you described that a little bit. Do you want to take us through the process that you described here?JOSH [00:14:27]: Yeah, so for the actual, like the blog post and kind of bringing these machines online.SWYX [00:14:32]: Yeah.JOSH [00:14:32]: So yeah, I think the process, as we have it broken down in the blog post, there's kind of a few different layers. First is like getting the individual machines to work at all and then getting the machines to actually be able to talk to each other. So getting the InfiniBand networking to work and then getting to a point where, you know, not just the machines are working and they can talk to each other, but everything is actually working correctly. There's a big gap between like it's working at all to it's working perfectly correctly. And then after you have all this stuff working perfectly correctly, nice and healthy, then now you get into kind of the software data, like training issues. And then after that, you're still not done. Like now, even once you're training at full speed, things are going to fail over time. Things are going to change. There's going to be new, you know, firmware updates. Like how do you kind of deal with this change and flux over time without going crazySWYX [00:15:16]: and pulling your hair out,JOSH [00:15:16]: trying to like reproduce things or understand why there were regressions. And so there's a lot of work to kind of automate the infrastructure tooling as well. And kind of the first step, like bringing these things online in the first place, you know, you have hundreds of machines at this point. So you don't necessarily want to be like walking around with like a CD-ROM or a USB drive, like plugging it in with your keyboard, like hitting next, next, next on the OS install. That's not how this works. You do that for one machine. And then you use, we use this thing called Metal as a Service to bring up all the other machines. So it's a kind of server that can kind of install the operating system on these other machines. So most like when you're talking about these machines, like each machine is, you know, on the order of hundreds of thousands of dollars. So they usually come with a kind of out-of-band management interface as well. So they don't, they have their InfiniBand networking. They have their normal 100 gigabit per second Ethernet networking. These are like dual, redundant, et cetera. And then you also have this extra out-of-band management network. So you can log in and you can see like the boot screen or you can see the blue screen of death. You can like get in there and actually see what was wrong, which is pretty fun. And it makes it like possible to automate a lot of this work. So the beginning of that, and the blog post goes into much more detail about like exactly how we set these up and kind of the other errors that we ran into. When you're bringing these online, you'll definitely have failures. Even if they all worked in the factory, they get shipped, some parts come loose, something fails, something goes wrong. So when you're bringing them online, there'll be some that don't quite work for all sorts of reasons. As you start to be working with machines at this scale, like if something happens one in a thousand times, you're like pretty likely to see it. And so you can get pretty rare, weird things, especially since we had fairly early builds and fairly early versions of this hardware. Like these are some of the like first machines that were ever produced, some of the first GPUs. So you've got some extra special things there. We definitely worked with Dell, for example, on making fixes in the firmware level to be like, okay, like this thing is wrong. Like we need to update this at the firmware to like actually fix this particular thing. So we worked pretty closely with Dell and Nvidia. Yeah, that's what I'm saying. Like this stuff gets complicated. And the thing is like, you know, taking a step back, the whole reason we're doing this, right, is that we knew that this was going to be complicated. There would be these kinds of failures. And if we're just using, you know, AWS or some other cloud provider, these errors are still gonna be there and you're gonna have no way to know and no way to debug this and no way to diagnose what's going wrong. And so we would much rather be able to like call up Dell and say, hey, this isn't working. And they're like, yep, okay, cool. Let's debug it together. Oh, I see. Yeah, cool. We'll ship a firmware update and actually fix this for you. That was a much better experience than like, great, just magically fails. I guess we restart and hope that that machine goes away. Like that's not a very good place to be. So yeah, that's kind of the first place is getting to a place where like GPU training is working on your single node machines. You can observe stuff. We have tons of tooling around like, you know, Prometheus and all sorts of other tools for understanding what's going on in these machines because you don't want to be like logging into each one and looking at the temperature or something you really need to have tooling to collect all these metrics, et cetera. Unfortunately, all of the scripts that we have for this are like for this entire cluster and for all this infrastructure are a little bit like special purpose for our particular thing. So it's not that every script that we have, it's not that you can just like take this and plug this in. Even if we did open source all the tooling that we have, you'd still have to do like a lot of work to open source it. What we are releasing is as many of the things that we can that are going to be useful for other people. You're still going to have to have some way of kind of managing these things, making your own like logging aggregators, et cetera, et cetera. So that's kind of bringing them up to the like, you know, the single nodes that are working. From there, it goes into, I'm happy to keep going if you want. Well, I just want to leave the opportunity for JohnSWYX [00:18:53]: to comment if there's anything that's different from how he runs things.JONATHAN [00:18:57]: Oh, I mean, all I'll say is I'll endorse this and say this s**t is hard. Like this is really, really hard. And, you know, I have a special props to, you know, the folks in Vue because they were building this from the ground up. You know, at Databricks and at Mosaic, we typically work with cloud providers because some of this stuff is just, there's too much to handle. It's complicated. There's a lot to deal with. And this doesn't even get into things like physical security, you know, securing power if you're the data center operator. Like this gets infinitely complicated and you have to abstract somewhere. Like, you know, and then you get to the folks who are literally building their own custom chips and like, good God.SWYX [00:19:36]: Like, oh my God, that's, you know,JONATHAN [00:19:38]: if you're one of those folks, you're having, you know, pour one out for the infra people at some of the AI chip startups who are having a really, really interesting time right now. But this stuff is really hard. And I don't think we talk about it much because there's so many other things that are hard. But the other hard things, I think everybody's becoming pretty familiar with at this point. This is something that I don't think there's ever really been a comprehensive discussion of, at least not that I've seen.SWYX [00:20:00]: Yeah, so my impression is that you guys, Mosaic, have your own software for sort of spinning up and down machines, just like Imbue had to build. But Imbue probably, it sounds like Imbue, you guys went fuller stack. I don't know how to describe it. Like Mosaic is not working with Dell on like their firmware.JONATHAN [00:20:21]: No, no, we're typically working with like, you know, pick your cloud provider on their Dell firmware or what have you. Like, it's kind of, I think one of the things, I don't know, Josh, you can correct me on this. It's kind of impossible if you're doing training to not go all the way through the entire stack, regardless of what happens. Like somehow I'm still chatting with cloud providers about power contracts, even though the whole point of dealing with the cloud provider is not to have to think about power contracts. Somehow I'm still asking them about which InfiniBand provider they used this time to see if this is part of the bad batch of cables I encountered on that cloud provider or what have you. Or like, we're still talking about a firmware update from pick your provider. You can't not do this. It's convenient that they have data center staff who are worrying about what to send back to which provider when, and they have people who can go and wait for the InfiniBand cables so they don't get stolen outside. But, you know, it's kind of, it's impossible not to really go full stack if you're thinking about the infrastructure at all. I don't know, Josh, correct me. No, I think that's right.JOSH [00:21:17]: That's what we expected from the beginning as well, is that we would inevitably have to get into the details here. And I'm glad that we kind of just planned for it. I think it made it a lot easier from our perspective to have direct control over this. Instead of having to go to the cloud provider that goes to the data center, that goes to the supplier, we could just go direct to NVIDIA or DellSWYX [00:21:37]: or the data center,JOSH [00:21:37]: whoever was responsible and be like, hey, this thing needs to change. And they're like, oh, okay. Yeah, that is our responsibility. Great, we can fix that. So it was just a lot easier for us to fix these bugs than if we had to go through an extra layer of email.SWYX [00:21:48]: Something we discussed in the pre-show was that you had a rule of thumb for your cluster of reliability. You say here in the post, by and large, you expect around 3% of your machines to break every week. So you're basically going to turn through all your machines in a year.JOSH [00:22:04]: As it says in the post. So that would be true if it was a uniform failure like that. But as it says in the post, it's usually these kind of problematic nodes. And to be clear, that is the number that we've heard from other people is like they're having about 3%. I don't think we're experiencing failure rates that are that high. I think ours is actually quite a bit lower than that, probably because we've taken the time to like dig into a large, maybe larger number than we should have of these failures and get to the root cause of it and be like, oh, okay, like that's exactly what's going wrong.SWYX [00:22:33]: How do we fix this?JOSH [00:22:33]: How do we prevent this from happening? How do we make automated checks for this so that if it does happen, it just goes back to whoever owns that particular part of the process and they can fix it immediately.SWYX [00:22:43]: And that's part of what you're also open sourcing, which is the health checks, right? You got the NIC health checks, GPU health check, this space health check, Docker D message. I don't know what that is.JOSH [00:22:52]: That one is just a lot of stuff.SWYX [00:22:54]: Yeah.JOSH [00:22:55]: That one is one where we realized that actually like when these machines boot, sometimes they wouldn't actually boot cleanly all the way. Or when they rebooted, they had problems that they didn't have when they were working before, which was kind of frustrating. Like usually if you restart your computer,SWYX [00:23:08]: it gets better.JOSH [00:23:08]: Here you restart. It did not get better.SWYX [00:23:10]: It got worse.JOSH [00:23:10]: That was very frustrating. So this health check looks at every particular line we've ever seen from the boot, like in D message, like every single log line that your computer emitsSWYX [00:23:21]: and says like,JOSH [00:23:21]: have we ever seen this before?SWYX [00:23:23]: Is this expected?JOSH [00:23:23]: Is this in the right order? Or is there something out of place? If there's anything out of place, let me say, okay, great. Like now it goes into this, like longer, more triage list of like, all right, great. Like, is this acceptable?SWYX [00:23:33]: Should we flag this?JOSH [00:23:33]: Like, should someone take a look at this? So we're looking down at a very, very granular detail level, what's happening on these computers to make sure that nothing is out of place. And that's critical because without that, if you're running your training, as Jonathan said, and this thing is slow, like what are you supposed to do? Right?SWYX [00:23:49]: Like you really,JOSH [00:23:49]: you really want to be very certain that like all 4,000 of these GPUs are working like they're supposed to.SWYX [00:23:54]: We know that.JOSH [00:23:54]: And so if it's slow, it's because like we messed up the config or something else and not because of this earlier thing that's like really hard to detect in software later.JONATHAN [00:24:01]: Yeah. I think the, I'm just curious to ask,SWYX [00:24:03]: like, you know,JONATHAN [00:24:03]: suppose you were to set up another, let's say another H100 cluster and it were at a different data center. And instead of the vendor being Dell, it was super micro or what have you. How much of this would be repeatable? And how much of this would you have to redo? I, you know, I genuinely don't know.SWYX [00:24:18]: A decent amount.JOSH [00:24:19]: I think it would go a lot faster the second time. I think there's lots of learnings that we had. And also the blog post,SWYX [00:24:24]: you know, yes,JOSH [00:24:24]: we are releasing the health checks, releasing some scripts, but a lot of the valuable stuff is also in the blog post itself, in the details and kind of the, you know, the learnings that we've had and the sort of errors that we run into. We tried to as much as possible surface those to other peopleSWYX [00:24:36]: could learn from thoseJOSH [00:24:36]: and avoid the same mistakes or failures as well. But I think it would go a lot faster.SWYX [00:24:41]: Although, yes,JOSH [00:24:41]: there would certainly be some things that'd be a little bit different. I mean, there'd probably be different CPUsSWYX [00:24:46]: or whatever,JOSH [00:24:46]: but I think a lot of that stuff is less,SWYX [00:24:49]: it's less,JOSH [00:24:49]: that's the like, that's less variable. I think most of it would apply the second time around. Although I'm sure next timeSWYX [00:24:56]: we're building one,JOSH [00:24:56]: it'll probably be, you know, at a scale that's 10x as big with a different chip or something like this.SWYX [00:25:00]: And then who knows?JOSH [00:25:01]: Yeah, with Kinect X8,JONATHAN [00:25:02]: that will have its own fun behavior and all that good stuff. Yeah.SWYX [00:25:06]: Perhaps there's something that people don't discuss about, and you don't even talk about this in the blog, but I always wonder is what is the timeline that's like kind of reasonable for this amount of work, at least the initial stages? And also what does the team composition look like for setting up a cluster, right? Like what are the mix of skills that you typically would require to get all this going?JOSH [00:25:27]: I'm, I can't really speak to typical. One thing I am very proud of is how much we accomplished with such a ridiculously small team. Like our infrastructure team is like, you know, fluctuates from week to week, depending on like how many things are on fire and how much we need to build. But it's like between like three and six people, like it's small. It's not like some huge team of like tons and tons of engineers. But those people are very, very good at what they do. And so that has allowed us to get a lot of mileage out of out of these things. I think it's not that we're building everything, right? It's not that three to six people build this whole thing. I definitely want to like, you know, say thanks very much to Dell and H5 and NVIDIA and the other people that have done a lot of the work, like to bring up this cluster, you know, with 4000 GPUs and three tier networking, networking architecture, you have 12,000 cables. So that's 24,000 things that need to be plugged in. Like that's just a lot of stuff to plug in, right? And you don't want to mess it up. Like each one needs to be done correctly. Like it's a little bit loose. Like it doesn't really work.SWYX [00:26:23]: If you break it,JOSH [00:26:23]: you need to replace it. Like there's a lot of workSWYX [00:26:26]: that goes into this.JOSH [00:26:27]: Yeah.SWYX [00:26:28]: And then, you know,JOSH [00:26:28]: that's just like that's it. That's if you were to do everything right the first time.SWYX [00:26:32]: And if you didn'tJOSH [00:26:32]: have to fix anything. But inevitably, you know, you will have to replace something, which means like taking all the wires out, pulling the thing out, taking all the GPUs out, going and fixing some cable, putting it all back correctly, putting it back in, doing this every time. So there were a lot of people at Dell, NVIDIA and at H5 that all helped a ton with this stuff. I don't know the exact size of the Dell team. It also fluctuated over time.SWYX [00:26:55]: Yeah, excellent. And then, you know, you so you have all the hardware set up and now you're firing it up for a single node. There's a long description that you guys have about just like monitoring the MFU, right? And what each situation might look might be indicative of. One of the most interesting things to me that I saw from here is like, you know, if training immediately starts off at 60 to 80% MFU, something's wrong.SWYX [00:27:24]: But like, you know, like what what are like, you know, some anecdotes or, you know, notable scenarios here that you might you might call out as maybe counterintuitive or super interesting.JOSH [00:27:36]: There's just so many of them. I mean, one of them, which I think is probably pretty common, like common knowledge by this point. But like we did have a sort of likeSWYX [00:27:46]: which one was this exactly?JOSH [00:27:47]: I think for the MFU, like gradually getting worse over time. I think that one, when we saw that the first time we were like, what the heck is going on? Like, why does it get just like a little bit worse? This is so strange. Like, what is it getting lazy or tired or something? Like, is it heat? Like what's going on? And in this particular case, it was memory fragmentation. Because you have hundreds of machines, they're doing garbage collection slightly different times. And then they get slightly further apart and slightly more and more jittered until eventually they're all happening kind of at random times. And just like really messing up each one of your steps. So you just turn off garbage collection and call it a day, basically,SWYX [00:28:20]: to be honest.JOSH [00:28:20]: There's other things you can do if you want to be a little bit more sophisticated about it. But you can also just manuallyJONATHAN [00:28:25]: have it all garbage collect on some interval. Like that's what we've done. We just have a garbage collection callback that just runs. But I've seen the exact same thing.JOSH [00:28:33]: Yeah, yeah, exactly. So I thought that one was kind of funny. And we did trace that one down and look and we did find the actual call. Like, again, this goes to like having good tools. So we had really good tools where we could look at a bunch of like actual traces in C and be like, OK, cool. This is the thing that's taking a lot of time. Or like, you know, this is the thing that doesn't quite line up here. Like, oh, I guess it's garbage collection. OK, cool.SWYX [00:28:52]: Interesting.JOSH [00:28:52]: Yeah, let's just try taking it off.SWYX [00:28:54]: OK, great.JOSH [00:28:54]: That's what it was. Now we can fix it. So for each of them, like basically bugs are not hard if you have good tools. But if you don't have good tools, bugs can be very, very hard. So similarly for like heat, another thing that we saw was like, oh, you know, the CPU is getting throttled. OK, well, it's easy to see if you're monitoring the CPU throttling or monitoring the heat. If you're not monitoring that, it's really hard to know why it's just suddenly one of them is going slower. I noticed also in the pieceSWYX [00:29:17]: that you mentioned FSDP with 0.3. Actually, we met, I went to iClear and Guanhua from the DSP team was there presenting 0++. I was wondering if you want to make any call outs to, you know, particular open source or open library or open whatever implementation teams that were super helpful in your process. I think we ended up actuallyJOSH [00:29:39]: pulling from a whole bunch of different ones to pull things in into our own particular pipeline. So we use things from NVIDIA's, you know, Megatron stuff. We use stuff from probably DeepSpeed. I think we pulled in a bunch of different pieces from a bunch of different places. So it was really nice to see all these working open source like examples. I think I really appreciate all the effort that has gone into actually tuning these things because you can tune them, but it's a lot of work to like tune this stuff and do all this stuff from scratch. It's really nice to have like a working example. I think those are probably the two biggest ones, DeepSpeed and Megatron alone, but there are probably other ones as well.SWYX [00:30:13]: Is there a particular thing in the ecosystem where you would call out as like, you know, there should be something here that is open source, but like it's not really, it's like everyone kind of builds it on their own. I want to say something with the file system because everyone talks about the file system eventually.JOSH [00:30:28]: The file system actually was,SWYX [00:30:30]: I mean, we did somethingJOSH [00:30:31]: kind of dumb there. Like we have our own sort of local mirror so that we can, you know, like a crappy version of S3SWYX [00:30:38]: that's local,JOSH [00:30:38]: but it's just a pretty simple script, right?SWYX [00:30:41]: Like I think we run likeJOSH [00:30:41]: a little web server that just like serves files and then, you know, it can upload themSWYX [00:30:45]: and download them.JOSH [00:30:45]: Okay, great. And part of the reason we did that is that our internet connectionSWYX [00:30:50]: in the beginningJOSH [00:30:50]: was not the like full speedSWYX [00:30:52]: one that we wouldJOSH [00:30:52]: eventually have. And so we are a little bit more kind of bottlenecked in terms of internet bandwidth. And so we had this. I think we looked at a bunch of services out there like Minio and some other ones, but a lot of these like come with a lot of extra overhead and maintenance. And since we already have so much infrastructureSWYX [00:31:09]: to deal with,JOSH [00:31:09]: we kind of didn't want to, you know, bring in a whole other like cloud provider, virtualize something, something.SWYX [00:31:14]: We just wanted something simple.JOSH [00:31:14]: So we went with that, which has been quite helpful. Like our toolsSWYX [00:31:19]: are usually quite simple.JOSH [00:31:19]: It's like Bash and Python and SSH and Docker. Like we'd like to keep things simple so that's easier to debug, like less layers of infrastructure, less layers of abstraction, make it a lot easier to work with. Like we don't use Kubernetes,SWYX [00:31:30]: for example,JOSH [00:31:30]: and we just directly launch these things. And it's just been much easier to debug this way. One tool actually that does come into mind that I will call out is Kraken from Uber. That was great. We love that tool. We were a little bit skeptical. What is it?SWYX [00:31:44]: I'm sorry. Yeah.JOSH [00:31:45]: So Kraken is this, yeah, it's a distributed like Docker registry, basically, that uses BitTorrent to like transfer things between the machines in a sort of nice optimal way. Like in the very beginning, the naive way is like you have this one Docker registry, which was outside of the cluster. So every time we change an image, you know, there's many gigabytes that each of the 500 machines needs to download.SWYX [00:32:07]: So that just takesJOSH [00:32:07]: a really long time. So what this thing does is like just one of them downloads it and then like they all sort of broadcast all the pieces to each other. And it was just like a really nice, fast way of getting these images down. And it was very robust.SWYX [00:32:19]: Like there's a lotJOSH [00:32:19]: going on under the hood, but I think it's a pretty cool tool that we haven't really had any bugs with it at all. Amazing.SWYX [00:32:26]: Yeah. I mean, that's all my questions, I guess, for the info piece. I don't know if, John, you had something that you were sort of burning to ask or.JONATHAN [00:32:33]: No, all I can say is just sameSWYX [00:32:36]: in a lot of places, like, you know, and they're done thatJONATHAN [00:32:38]: seeing this plus one. I think the one big difference, you know, perhaps in philosophies is we've tried to basically standardize on as much commodity stuff as possible, just because, you know, I think the reason I asked about trying to do thisSWYX [00:32:50]: on multiple differentJONATHAN [00:32:50]: pieces of infrastructure is like, I think we're running on like six or seven different clouds right now. And everybody has done something slightly different. And my gosh, the little differences add up as you know, you've seen. And so, you know,SWYX [00:33:04]: our philosophy has been like, whatever the hellJONATHAN [00:33:05]: we can standardize, please let's standardize it. Like vanilla off the shelf FSDB.SWYX [00:33:10]: And like, you know,JONATHAN [00:33:10]: we wrote our own data loader, but we've tried to make that as much of a standard as we can across our infrastructure and in Databricks, because things just start getting really complicatedSWYX [00:33:18]: or like we useJONATHAN [00:33:18]: Kubernetes extensively because it at least gives us a uniform set of APIs. Like that's our hardware abstraction layer to a certain extent for everything else. So it's just, you know, a difference in philosophy there. But otherwise, like, yeah, this stuff is really, really hard. And I feel like we take for granted how much of this, you know, is done for us when you go and you just query chat GPT, for example. Like, oh my God, everything going on underneath that, you know, it's kind of a miracle that the machines boot up, let alone that you can like query a giant language model that's probably doing inference across multiple machines and was trained across thousands of machines. Like, you know, minor miracle.SWYX [00:33:54]: Yeah, it is an awesome amount of power that we invoke with a single API call that we take for granted these days. It's absurd. Yeah, I mean, like Kubernetes, like that point about Kubernetes, I will say as a former AWS employee, like it seems like it would be ideal for imbue to at some point make it more abstracted or agnostic because you're going to want to, you know, replicate your setup. We do have our ownJOSH [00:34:19]: sort of replacement. It's just a much simpler version of Kubernetes. Kubernetes is really designed for running services, not for running experiments. Like that's not its like main architecture. And so for us, like we have everything that's like, cool, you're going to run an experiment. So you want it to run to completion, right?SWYX [00:34:34]: OK, great.JOSH [00:34:34]: Like the primitives are sort of built around a slightly different style. And that makes it a lot easier, like just a lot simpler to fit that the nature of like these machines are going to disappear. They will need to be rebooted for infrastructure upgrades. They will like something will happen to the GPUs. Failure is like baked into this as like a core part of our infrastructure. So it's not that we don't have an abstraction. It's that it's a sort of simpler, more tailored abstraction for the particular work that we're doing.JONATHAN [00:34:58]: Yeah, I think it all depends on what your goals are. And like, I think the challenge in a lot of the deep learning stuff right now is that people are trying to like, people often build things that are more complicated than necessary to get the job done. And the complication is the enemy of everything. You know, don't use a fancier parallelism strategy than you have to. Don't use a fancier set of libraries than you have to.SWYX [00:35:18]: Don't do anythingJONATHAN [00:35:18]: that you don't have to do because it's hard enough as it is. Like, don't overcomplicateSWYX [00:35:23]: your own life.JONATHAN [00:35:23]: Don't try to bring in more tools or more fancy architecture tweaks if you absolutely don't have to.SWYX [00:35:29]: Like getting to the minimumJONATHAN [00:35:30]: necessary to get the job done. And it's really tempting to want to try to use everything. So like, I totally understand that one.SWYX [00:35:37]: I think the last piece I'll maybe call out is that I'm just going to weave this in just because I see the opportunity to do it. Are there any infrastructure shifts that need to be, that need to rise because of changing architecture? So I think, for example,SWYX [00:35:57]: you're announcing a dense model, a 70B dense model, whereas John just worked on DBRX and the image-to-text model, which presumably has different bottlenecks.JONATHAN [00:36:10]: That's correct for us. You know, we train both dense and mixture of expert models. The one we happened to, you know, kind of get permission to open source was a mixture of expert model. And those models are very demanding when it comes to network bandwidth, at least if you're training them in kind of FSTP 03 style, where there's just a lot of parameters getting shuffled back and forth. And your ratio of kind of compute to amount of data that you have to shuffle back and forth becomes a lot worse because you're now, you know, you're only using a fraction of the parameters for every token instead of all the parameters. And so we had to really push the envelope on getting all the stuff to the right places on time. And so actually the networking part of DBRX was the single hardest thing, I think, of the entire process. Just get MOE training, working at scale across a big cluster. We still managed to, I think, do it all with commodity parts, which was very exciting. You know, we were using FSTP and we eventually used HSTP so that we could have HSTP as a version of FSTP where you have multiple smaller replicas and you're doing data parallel within those replicas. And that helped a lot with network latency issues that we were running into just because we were transmitting so much data, you know, for every single part of the process. I think it actually, like, it was instructive for how Google designs their hardware and software together personally. Their training, as far as I understand, using kind of a 03 style of training and have been for a while. They also train mixture of expert models. TPUs have a very different network bandwidth to compute ratio. They have a lot more bandwidth just objectively. And TPUs per chip tend to be a little bit less compute intensive and have a little bit less memory. You know, it's just a different design choice. So the ratio of flops to bandwidth is very different. And that means that it's much easier for Google to be able to pull offSWYX [00:37:54]: some of this stuff.JONATHAN [00:37:54]: They also have interesting, you know, Torus style network architecture or Torus style, like, literal network architectureSWYX [00:38:00]: is not like the model,JONATHAN [00:38:00]: but the network.SWYX [00:38:02]: Is this the sort of block attention? I forgot what you call it. So this is just more or the,JONATHAN [00:38:07]: yeah, this is more, not the ring attention, but these are the ring all reduces. Like you have three different dimensions of rings because they kind of put you in these three dimensional Toruses from what I understand. And so like, you know, Google's infrastructure in some sense is kind of, I wouldn't say built for this, but maybe the way that Google trains models is built for a slightly different bit of infrastructure they have. And it's kind of neat to think about that. You know, as one thing that I think NVIDIA announced for, you know, for, for both the GH200 and the GB200 is this hybrid networking where you'll have blocks of NVLink network chips. I think for the GB200, I think it's like groups of 72 GPUs will all have NVLink to each other. So higher bandwidth, then you'll have normal networking of some kind, InfiniBand or Rocky or what have you between these blocks. And that's kind of a, you know, it's a change due to the fact that, you know, it's hard to build really high bandwidth networks over very large groups, but it is now a blocked networking. And you have to think about how you architect your model and your parallelism differently. You also have to think about fault tolerance differently because it now matters where you lose a GPU, whereas it didn't before. So, you know, it's, it's, it's just all really interesting and really fun speaking personally, but it's going to mean new nightmares when we all move to that generation and have to think about, you know, new versions of these problems.JOSH [00:39:20]: As you go up to larger scales, it gets quite different. Like right now, you know, if you're experiencing, let's say, for example, you experience a GPU failure every day, that's fine.SWYX [00:39:31]: Just restart.JOSH [00:39:31]: If you make your thing 24 times as big, now it's once an hour. Now it stops being quite as easy to just restart, right? So now you have to kind of break, like bake in this sort of redundancy that you didn't have before. So I think as you go up in scale, you end up running into like a lot of really interesting problems that also inform the, the actual like design. Yeah, I mean, as an orchestration guy,SWYX [00:39:52]: this is why I always emphasize like very cheap storage or very fast storage. So you can checkpoint more, but I don't think that's probably not the best solution to for fast, you know, training.JONATHAN [00:40:05]: Which works fine when you're doing language and then you move to vision or video. And then, you know, you have multi petabyte datasetsSWYX [00:40:12]: and getting, you know,JONATHAN [00:40:13]: cheap, fast multi petabyte storage starts to bite. Like I've certainly encountered issues where the literal data center where my GPUs were did not have enough, you know, object store to fit the datasets that people wanted to bring into that data center from whichever users were, were trying to bring them in. And then you get to a wholeSWYX [00:40:31]: different world of hurtJONATHAN [00:40:31]: where you have to keep your data in a different region because the region is just out of storage. So things get fun really fast.SWYX [00:40:39]: Speaking of vision, Josh, actually, you know, Embu is an agents company, but you're only, you're announcing a text-only model. What, where does, where does the vision side come in?JOSH [00:40:49]: I think we've actually done a lot of work in the past and people can see kind of our blog posts about sort of self-supervised learning and some other kind of vision-related stuff in the past as well. So we're very familiar with, with that stuff. But I think our main focus right now is on kind of, as we say, coding and reasoning. And there, there's certainly a visual component to some problems. But, you know, it's not necessarily required for all problems. And actually we found that for most of the kind of like code writing and, and reasoning problems that we care about, the visual part isn't really a huge important part of it. Sometimes if you really need to, you can maybe describeSWYX [00:41:24]: the thing.JOSH [00:41:24]: There are other like, you know, multimodal models that you can use off the shelf to sort of plug in for those particular piecesSWYX [00:41:30]: that you need, right?JOSH [00:41:30]: Like if something is driving a browser or whatever, like you can sometimes get away with not having to have that baked into the original model. So our folk were, you know, in a sense, we kind of do a lot across the stack. We're working on our own infrastructure and pre-training and RL and fine tuning and products and everything. But in another sense, we're very narrowly focused on the application side. So all of the stuff across the stack is kind of going toward a very particular purpose. And so that particular purpose right now doesn't really need vision. So we think that people are going to make all sorts of really cool image modelsSWYX [00:42:00]: like Jonathan, right?JOSH [00:42:00]: And all sorts of interesting multimodal models into the future. We'll let them go do that. That's great. We'll take advantage of that, partner with those people in the future. And right now we're really focused on kind of the core reasoning and coding capabilities and aspects of the model.SWYX [00:42:14]: I wanted to go into carbs since that's kind of the next layer of the stack. We talked about carbs in the first episode with Kanjin because you've actually had a blog post about it like a couple of years ago. Maybe let's introduce it.JONATHAN [00:42:26]: Has that been a couple of years now?JOSH [00:42:28]: No, it must have been at least one year. Hopefully it's not multiple years.SWYX [00:42:32]: Sorry, I'm counting AI time. Yeah, yeah. Yeah, I was going to sayJONATHAN [00:42:35]: you're making me feel really old right now.SWYX [00:42:39]: I count everything before the generally intelligent rename as like, you know, prehistory. Yeah. And now sort of modernity, right? So I actually thought carbs was more about hyperparameter optimization in a sense of like sort of parameters, hyperparameter search. Whereas, you know, when you introduced it, especially in this blog post, it's more about scaling laws and predictability of like, are we sort of in the right ballpark before we scale things up? Maybe sort of recount the history of carbs.JOSH [00:43:10]: Yeah, so it really is a little bit of both. So carbs is, it's maybe a backronym, but it's for cost aware Pareto region Bayesian search. So this is about technically how it works, but carbs is like, you know, we like pastries and stuff.SWYX [00:43:26]: So great, why not? But the point is thatJOSH [00:43:29]: it's a cost aware hyperparameter tuner. So most hyperparameter tuners, you kind of say, OK, here's this objective function. I want you to make this number as big as possible or as small as possible, whichever direction you want to go. So yeah, just go make this number, you know, as small as possible. OK, so it'll try a bunch of differentSWYX [00:43:46]: hyperparameters,JOSH [00:43:46]: a bunch of different configurationsSWYX [00:43:48]: to figure out, like,JOSH [00:43:48]: how do I tweak your network and architecture, et cetera, to get the kind of best performance I possibly can. That's usually saying, like, you know, almost all of these hyperparameter configurations are, let's say they're all going to use the same number of GPUs or the same number of nodes.SWYX [00:44:01]: So it's going to runJOSH [00:44:01]: for the same amount of time.SWYX [00:44:03]: So you can do that.JOSH [00:44:03]: You can get a number out and that's great. But what carbs does is it says,SWYX [00:44:07]: OK, actually,JOSH [00:44:07]: what if we relax that constraint? What if we say each of these different points, we're going to model how expensive it will be to sample this configuration. So if what if we train with just one one hundredth of the data? Like, how well can we do?SWYX [00:44:19]: What if we trainJOSH [00:44:19]: with one tenth of the data? What if we train with all the data? That way you can understand, like, as we get more and more data, as we spend more and more compute,SWYX [00:44:26]: as we make a biggerJOSH [00:44:26]: and bigger network, how does performance change with these things that change? Like how expensive it is to even explore this data point. So by doing that, we can see the scaling laws for not just, you know,SWYX [00:44:36]: the scaling lawsJOSH [00:44:36]: from like the, you know, Chantilla paper, the scaling laws for all parameters. We can see how does how does the number of layers change with this? How does the, you know, the learning rate change? How do the like, you know, various types of regularization change? So you can see these nice scaling laws. And as you're going across costs, like how should this be changing as you're scaling up your model? So that, coupled with the kind of metric that we chose, which is a very precise way of measuring performance, allowed us to really like hone in on parameters that worked really wellSWYX [00:45:05]: and understand, like,JOSH [00:45:05]: how do we want to scale those up, especially as we're changingSWYX [00:45:08]: things about the network?JOSH [00:45:08]: Like one of the things that we did is we used a custom tokenizer. As we change this tokenizer, changes a bunch of other things about the model. So how should we scale up this entirely new tokenizer? Like no one has ever made a model this large with this tokenizer before. And so how do we want toSWYX [00:45:22]: change all these things?JOSH [00:45:22]: Harps kind of shows you, like, look, as you change these parameters, like these other ones are kind of dependent on this.SWYX [00:45:28]: Like this is the, these areJOSH [00:45:28]: the relationships between them. So you can better understand, like, OK, if I'm going to scale this up 10x or 100x, like, where do I want to be? I can only go so far. And so, you know, we did run, like, I think maybe it was like a 14b one or somethingSWYX [00:45:40]: like that to check.JOSH [00:45:41]: But and so we had a bunch of like 1b or 14b and then at 70b. I don't think we had a, I think we just did like one at 14b. So you can, we get to check that like, oh, is this on the curve? Like, is this where we expect? It was like right there. So then great, go on to the next one. Yeah, I mean, that makes a lot of sense.SWYX [00:45:56]: I wonder if, so one of the key questions, and correct me if I'm wrong, but like usually people do search or do their evals just based on loss. But you actually evaluate based on, you know, the sort of end state evals that people might expect, like HellaSwag and Lombata, whatever. What is the norm here? Is there a norm?JOSH [00:46:20]: Yeah, I don't know if there's a hundred percent.SWYX [00:46:21]: I don't know. I only see loss on most people's reports.JOSH [00:46:25]: I think it's easy to, like, loss is very nice because it's very precise. It will tell you, like, very fine grained differences between like really small changes in your hyperparameters or network architecture. Whereas, especially at the smaller scales, if you're looking at like accuracy, it's very noisy. Like it might be zero or a hundred or like, you know, fluctuating by like 10 or 20 percentage points, which makes it really hard to tell, like, did that change actually mean anything? So our loss is sort of a combination of these two. Instead of saying, like, let's just look at perplexity, we say, let's look at perplexity on the tasks that we care about for multiple choice questions effectively.SWYX [00:47:00]: So we're saying like, yes,JOSH [00:47:00]: this is formulated as a multiple choice question, and we're going to look at the, like, you know, the loss of perplexity for this particular answer token. And that ends up being something that's like both targeted to what you actually care about and also very precise. The nice thing about this though is that it's independent of the data that you train on. One thing that's annoying about perplexity or about loss is that as you change your data set, this is really obnoxious because now it fundamentally changes your loss, right? And so you can't tell, like, how do I tweak my data set? But because we have this held out evaluation dat

Pandemics are on the rise. Will bird flu be next? The government says it's monitoring the situation, but should we worry? According to former National Security Council Director for Medical and Biodefense Preparedness and expert on emerging infectious diseases, Luciana Borio, the answer is yes. Not only because bird flu is dangerous, but because the government may be giving us happy talk. The more you know, the better. So join us.

We discuss getting and keeping this year's calf crop healthy.  Plus, updates on Beef imports and exports, new possible genetic defects, markets, recaps, sales and more on this all new episode of the Ranch It Up Radio Show. Be sure to subscribe on your favorite podcasting app or on the Ranch It Up Radio Show YouTube Channel. EPISODE 189 DETAILS BOVINE RESPIRATORY DISEASE (BRD), MANAGE IT NOW.  OVERVIEW OF BOVINE RESPIRATORY DISEASE COMPLEX Bovine respiratory disease (BRD), shipping fever pneumonia, or undifferentiated fever is a respiratory disease of cattle of multifactorial etiology with Mannheimia haemolytica and, less commonly, Pasteurella multocida, Histophilus somni ( see Histophilosis), or Mycoplasma bovis being the important bacterial agents involved. Viral pathogens may also be involved, such as bovine herpesvirus 1, parainfluenza-3 virus, and bovine respiratory syncytial virus. BRD has a multifactorial etiology and develops as a result of complex interactions between environmental factors, host factors, and pathogens. Environmental factors (eg, weaning, transport, commingling, crowding, inclement weather, dust, and inadequate ventilation) serve as stressors that adversely affect the immune and nonimmune defense mechanisms of the host animal. In addition, certain environmental factors (eg, crowding and inadequate ventilation) can enhance the transmission of infectious agents among animals. Many infectious agents have been associated with BRD. An initial pathogen (eg, a virus) may alter the animal's defense mechanisms, allowing colonization of the lower respiratory tract by bacteria. BRD is most commonly associated with the transport and assembly of large groups of recently weaned calves into feedlots. Morbidity in these types of feeder calves often peaks within the first 7–10 days after feedlot arrival. Morbidity can approach 35%–50%, and case fatality is 5%–10%; however, the levels of morbidity and mortality strongly depend on the array of risk factors present in the cattle being fed. The use of broad-spectrum antimicrobials labeled for bovine respiratory disease is the primary treatment, with macrolides and fenicols most commonly used as first-line treatment. Prevention and control are achieved via vaccination programs, preconditioning, identification and treatment of subclinically infected animals, and biosecurity. Etiology of Bovine Respiratory Disease The pathogenesis of bovine respiratory disease involves a stress factor, sometimes coupled with viral infection, which results in suppressed immune defenses and the proliferation of bacteria in the upper respiratory tract. Subsequently, these bacteria colonize the lower respiratory tract and cause bronchopneumonia with a cranioventral distribution in the lung. Many of the bacteria and viruses involved are commensal organisms of the upper respiratory tract that can be isolated from a proportion of healthy animals. Multiple stress factors contribute to the suppression of host defense mechanisms in cattle. Weaning is a noteworthy stressor, and the incidence of this disease is highest in recently weaned calves. Transportation over long distances serves as a stressor; it may be associated with exhaustion, starvation, dehydration, chilling, and overheating, depending on weather conditions. Additional important stressors include passage through auction markets; commingling, processing, and surgical procedures on arrival at the feedlot; dusty environmental conditions; and nutritional stress associated with a change to high-energy rations in the feedlot. The individual viral and bacterial etiologies, clinical signs, lesions, and treatment are discussed under Viral Infections Associated with Bovine Respiratory Disease Complex in Cattle and Bacterial Pneumonia in Cattle with Bovine Respiratory Disease Complex. Viruses associated with BRD include: bovine herpesvirus 1 (IBR) bovine respiratory syncytial virus parainfluenza-3 virus bovine viral diarrhea virus bovine adenovirus bovine coronavirus Bacteria associated with BRD include: Mannheimia haemolytica Pasteurella multocida Histophilus somni Mycoplasma bovis Bibersteinia trehalosi Control and Prevention of Bovine Respiratory Disease Prevention of bovine respiratory disease should focus on decreasing the stressors that contribute to development of the disease. Cattle should be assembled rapidly into groups, and new animals should not be introduced to established groups. Mixing of cattle from different sources should be avoided or minimized if possible; however, in the North American beef industry, this risk factor is almost unavoidable for large intensive feedlots. Transport time should be minimized, and rest periods, with access to feed and water, should be provided during prolonged transport. Calves should ideally be weaned 2–3 weeks before shipment, and surgical procedures should be performed in advance of transport; however, the availability of these “preconditioned” calves is quite limited. Cattle should receive arrival processing, which would include vaccinations and possibly metaphylactic antimicrobials within 48 hours after arrival at the feedlot. Adaptation to high-energy rations should be gradual, because acidosis, indigestion, and anorexia may inhibit the immune response. Vitamin and mineral deficiencies should be corrected. Dust control measures should be used. Metaphylaxis with long-acting antimicrobials, such as oxytetracycline, tilmicosin, florfenicol, gamithromycin, tildipirosin, or tulathromycin, has been widely adopted as a control measure given “on arrival” to cattle at high risk of developing shipping fever pneumonia. Metaphylaxis on arrival has been shown to substantially decrease morbidity, improve rate of gain, and, in some cases, decrease mortality. Mass medication in feed or water is of limited value because sick animals do not eat or drink enough to achieve inhibitory blood levels of the antimicrobial, and many of these oral antimicrobials are poorly absorbed in ruminants. On arrival, processing usually involves administration of modified live virus vaccines for viral antigens and for bacterial components of shipping fever pneumonia. Because most cases of pneumonia occur during the first 2 weeks after arrival, these on-arrival vaccines may not have adequate time to stimulate complete immunity in all individuals. When possible, vaccinations for the viral and bacterial components of shipping fever pneumonia should be given 2–3 weeks before transport or earlier and can be repeated on entry to the feedlot. Key Points BRD is the most common and costly disease affecting the North American beef cattle industry. BRD risk factors include weaning, transportation, adverse weather, commingling, and stressful events such as dehorning and castration. BRD is caused by suppressed immune responses and initial viral infection, which allow colonization of the lung by commensal URT bacteria. Preconditioning, minimizing mixing, vaccination for BRD pathogens, and metaphylaxis for high-risk animals are major control methods. Broad-spectrum antimicrobials labeled for bovine respiratory disease are the primary treatment.   For More Information Key elements for implementing antimicrobial stewardship plans in bovine veterinary practices. American Association of Bovine Practitioners. Updated March 2022 Joint AABP-AVC Judicious Therapeutic Use of Antimicrobials in Cattle   Cattle Industry News: Beef From Australia, New Genetic Defects, Alberta Prepares for HPAI, Trips Suspended to Michigan Farms U.S. IMPORTS OF AUSTRALIAN BEEF UP 74% FROM A YEAR AGO  Australian exports of beef to the United States have soared in the last 12 months, hitting over 31,000 tons in May. Compared to the same month a year ago, that sum is 74% higher, according to global supply analyst Tim Jackson of Meat & Livestock Australia, a checkoff group for the country's red meat producers. Australian farmers have also gained beef market share in Japan and South Korea largely at the expense of U.S. exporters, Jackson said. Australia's global beef exports last month were up 9% from April and 25% from May 2023, hitting almost 114,000 tons — the highest level in more than four years. Jackson commented that the U.S. declines in production are now having a noticeable impact on export flows.  NEW GENETIC DEFECT AFFECTING CATTLE MOBIDITY AND MEAT QUALITY Cattle have long been a cornerstone of agriculture, providing us with milk, meat, and various other products that nourish and sustain our communities. Ensuring the cattle's health and optimal muscle development is vital when producing high-quality beef. However, various genetic conditions can disrupt muscle metabolism, affecting animals' well-being and the quality of the meat they produce. Researchers at the University of Nebraska — Lincoln have discovered a new defect in composite cattle (Simmental, Red Angus, Gelbvieh) that often caused physical collapse when they exercised, with some calves unable to recover. This is an autosomal recessive genetic defect, which means both parents of affected calves must carry one copy of the mutation.     TRIPS SUSPENDED TO MICHIGAN FARMS The Michigan Department of Health and Human Services asked the public to postpone visits to farms with dairy herds and poultry flocks amid the HPAI outbreak. Over the past few weeks, Michigan has reported two human cases of the H5 virus. The department asked schools, daycares, camps and other programs to delay any planned field trips to farms.   ALBERTA PREPARES FOR HPAI IN CATTLE According to Chris Scott with Meating Place dot com, Confirmation of H5 virus infections in U.S. dairy cows is prompting animal health officials in Canada to consider their options to prevent the virus from affecting herds north of the U.S. border. Dr. Keith Lehman, Alberta's chief veterinarian, told CBC News that vigilant surveillance is critical to protecting the Canadian dairy herd from a virus that has been confirmed among dairy cows in nine U.S. states so far. Canada imposed new import rules last month that require lactating cows from U.S. dairy farms test negative for H5 within seven days of export to help the nation maintain its HPAI-free status among cattle.   UPCOMING SALES & EVENTS ISA Beefmasters: October 5, 2024, San Angelo, Texas     BULL SALE REPORT & RESULTS Churchill Cattle Company Van Newkirk Herefords Gardiner Angus Ranch Cow Camp Ranch Jungels Shorthorn Farms Ellingson Angus Edgar Brothers Angus Schaff Angus Valley Prairie Hills Gelbvieh Clear Springs Cattle Company CK Cattle Mrnak Hereford Ranch Frey Angus Ranch Hoffmann Angus Farms Topp Herefords River Creek Farms Upstream Ranch Gustin's Diamond D Gelbvieh Schiefelbein Farms Wasem Red Angus Raven Angus Krebs Ranch Yon Family Farms Chestnut Angus Eichacker Simmentals & JK Angus Windy Creek Cattle Company Pedersen Broken Heart Ranch Mar Mac Farms Warner Beef Genetics Arda Farms & Freeway Angus Leland Red Angus & Koester Red Angus Fast - Dohrmann - Strommen RBM Livestock Weber Land & Cattle Sundsbak Farms Hidden Angus Wheatland Cattle Company Miller Angus Farms L 83 Ranch U2 Ranch Vollmer Angus Ranch A & B Cattle Carter Angus Farms Roller Ranch Montgomery Ranch Jorgensen Farms DLCC Ranch Four Hill Farm North Country Angus Alliance Spruce Hill Ranch Wilson Angus   FEATURING Dave Sjeklocha, DVM Merck Animal Health @merckanimalhealth https://www.merckvetmanual.com/ https://www.merck-animal-health-usa.com/ Mark VanZee Livestock Market, Equine Market, Auction Time https://www.auctiontime.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ @LivestockMkt @EquineMkt @AuctionTime Kirk Donsbach: Stone X Financial https://www.stonex.com/   @StoneXGroupInc    Shaye Koester Casual Cattle Conversation https://www.casualcattleconversations.com/ @cattleconvos   Questions & Concerns From The Field? Call or Text your questions, or comments to 707-RANCH20 or 707-726-2420 Or email RanchItUpShow@gmail.com FOLLOW Facebook/Instagram: @RanchItUpShow SUBSCRIBE to the Ranch It Up YouTube Channel: @ranchitup Website: RanchItUpShow.com https://ranchitupshow.com/ The Ranch It Up Podcast available on ALL podcasting apps.   Rural America is center-stage on this outfit. AND how is that? Tigger & BEC Live This Western American Lifestyle. Tigger & BEC represent the Working Ranch world and cattle industry by providing the cowboys, cowgirls, beef cattle producers & successful farmers the knowledge and education needed to bring high-quality beef & meat to your table for dinner. Learn more about Jeff 'Tigger' Erhardt & Rebecca Wanner aka BEC here: TiggerandBEC.com https://tiggerandbec.com/ #RanchItUp #StayRanchy #TiggerApproved #tiggerandbec #rodeo #ranching #farming References https://www.stonex.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ https://www.auctiontime.com/ https://gelbvieh.org/ https://www.imogeneingredients.com/ https://alliedgeneticresources.com/ https://westwayfeed.com/ https://medoraboot.com/ http://www.gostockmens.com/ https://www.imiglobal.com/beef https://www.tsln.com/ https://transova.com/ https://axiota.com/ https://www.merckvetmanual.com/respiratory-system/bovine-respiratory-disease-complex/overview-of-bovine-respiratory-disease-complex#Key-Points_v74932778 https://www.meatingplace.com/Industry/News/Details/114883 https://www.cattlebusinessweekly.com/articles/new-genetic-defect-impacting-cattle-morbidity-and-meat-quality/ https://www.meatingplace.com/Industry/News/Details/114869 https://www.meatingplace.com/Industry/News/Details/114841 https://www.merck-animal-health-usa.com/

Send us a Text Message.What happens when your entire world is defined by hospital walls and medical jargon? On "Heart to Heart with Anna," we share the poignant and raw journey of James Robinson, a father who walks us through the emotional highs and profound lows of raising his son Nadav, who was born with a congenital heart defect known as single ventricle heterotaxy. James recounts the myriad surgeries, complications like asplenia, and the heart-wrenching impact of eventually losing Nadav. This episode offers deep insights into the resilience required to face such relentless challenges and the indelible way it shapes family identity and daily life.Explore the extraordinary resilience of families navigating medical crises. Genetic testing unveiled a unique mutation in the H5 gene carried by both parents, prompting profound reflections on fate and family dynamics. James shares invaluable strategies for maintaining family connections during prolonged hospital stays, emphasizing the importance of honesty and openness. The emotional journey reveals lessons about life, love, and humanity learned through the lens of a family's extraordinary experience with severe health issues.Finally, we highlight the vital role of the hospital ecosystem in preserving humanity. Through heartfelt anecdotes, James discusses the indispensable support from nurses, therapists, and other professionals who added depth and compassion to Nadav's care. This episode also explores the lasting impact of connecting with a community of adult congenital heart disease survivors, offering solace and continuity for those affected. Join us for a compelling and heartfelt conversation that underscores the power of shared experiences and the transformative strength that love and community bring in times of profound adversity.Helpful Links Mentioned in the Episode:James Robinson's website: https://morethanamemoir.com/Leigh Kamping-Carder's Interview with James Robinson: https://theheartdialogues.substack.com/p/meeting-adults-with-congenital-heart-diseaseWe appreciate it when people support Hearts Unite the Globe podcasts. Thank you to our newest supporters -- Annie Ulchak (Patreon) and Judy Miller (Buzzsprout)!Support the Show.Anna's Buzzsprout Affiliate LinkBaby Blue Sound CollectiveSocial Media Pages:Apple PodcastsFacebookInstagramMeWeTwitterYouTubeWebsite

We go over the pros and cons of managing cow calf pairs on hot wire pasture grazing. Plus, how to manage water when cell grazing. We have news, markets and lots more on this all new episode of the Ranch It Up Radio Show. Be sure to subscribe on your favorite podcasting app or on the Ranch It Up Radio Show YouTube Channel. EPISODE 188 DETAILS Cow Calf Management: Hot Wire & Water When Cell Grazing.  ELECTRIC HOT WIRE FOR GRAZING COW CALF PAIRS & CELL GRAZING Maximizing Agricultural Efficiency: The Advantages of Rotational Grazing Rotational grazing offers numerous benefits for sustainable farming. By moving livestock between paddocks according to a strategic schedule, farmers allow forage crops to rejuvenate, replenish energy reserves, and enhance plant vigor, leading to long-term maximum production. The key to a successful rotational grazing system lies in its flexibility. Utilizing a highly-movable temporary fence and understanding its proper use are crucial for maximizing the benefits and maintaining an efficient grazing routine. Optimize Your Grazing Strategy Implementing a well-designed rotational grazing system can lead to healthier livestock and more productive land. Explore the essentials of rotational grazing and discover how to enhance your agricultural practices for sustainable success. A Comprehensive Guide to Temporary Electric Fence Wires: Polywire vs. Polytape When it comes to temporary electric fencing, two main types are available: polywire and polytape. Both options consist of fine metal filaments intertwined with polyethylene or polypropylene fibers, with the metal providing the shock and the plastic ensuring strength and visibility. Choosing the Right Polywire for Your Needs For short-distance applications, such as subdividing a pasture, a six-strand polywire is typically sufficient. However, for longer distances or areas prone to overgrowth from weeds and grass, opt for a polywire that delivers a stronger shock to ensure effective containment. The Benefits of Polytape Polytapes are known for their superior visibility, particularly in white. If you're experiencing inadequate animal control with polywire or need better visibility for safety reasons, such as fencing for horses, switching to polytape can be beneficial. Although polytape may be more expensive, the improved control and visibility often justify the cost. Essential Tools: Electric Fence Reels For ease of use and flexibility, especially if you plan to adjust paddock sizes frequently, an electric fence reel is indispensable. These reels, made from weather-resistant plastic, can hold one to two spools of polywire or polytape, making it easy to move and reconfigure your temporary fencing as needed. Explore the best practices for using polywire and polytape to optimize your temporary electric fencing system, ensuring maximum efficiency and control for your livestock management.  Cattle Industry News: Beef Exports to China, Third Avian Flu in Humans, USDA Combats Avian Flu, Beef On Dairy CHINA BLOCKS JBS USA BEEF EXPORTS OVER RACTOPAMINE TRACES According to the Meating Place, the Chinese government has halted beef exports from the JBS USA facility in Greeley, Colorado, according to the Food Safety and Inspection Service (FSIS). The export block is reportedly due to detected traces of the feed additive ractopamine.  While ractopamine is deemed safe for use in the United States, it is banned or restricted in China and 160 other countries. In response, JBS issued a statement indicating they are “working diligently with U.S. and Chinese authorities to resolve the situation as soon as possible.”  FSIS has also confirmed that it is conducting its own investigation into the matter. FSIS provided further details in a statement to Reuters: "China customs detected ractopamine in a batch of frozen beef omasum products exported to China from these establishments and destroyed this batch of products in accordance with their regulations."  In addition to the JBS USA facility, China has also blocked meat products from Cool Port Oakland, a cold storage facility in California.  CDC REPORTS THIRD U.S. CASE OF HIGHLY PATHOGENIC AVIAN INFLUENZA IN HUMANS The U.S. Centers for Disease Control and Prevention (CDC) has confirmed the third case of highly pathogenic avian influenza (HPAI) in humans within the country. This latest case marks the second occurrence in Michigan. While the three cases are unrelated, they all involve dairy farm workers exposed to infected cows, suggesting probable cow-to-person transmission.  Notably, this most recent case is the first in the U.S. to present typical influenza-like symptoms, according to the CDC. The CDC is closely monitoring influenza data and reports no unusual activity or increased emergency room visits. The risk to the general public remains low, as all cases involve direct contact with infected cows. However, the CDC stresses the importance of precautions for individuals in contact with infected animals, as their risk is significantly higher. The affected worker is receiving treatment with oseltamivir and is recovering in isolation. Household contacts are symptom-free and are being monitored. Initial tests confirmed the presence of the influenza A(H5) virus, with further analysis ongoing. The CDC advises farmworkers to use personal protective equipment (PPE) and adhere to health monitoring protocols. Avoiding unprotected exposure to sick animals, their waste, and related materials is crucial, the agency emphasized.   USDA ALLOCATES $824 MILLION TO COMBAT H5N1 OUTBREAK The USDA is allocating an additional $824 million in emergency funding from the Commodity Credit Corporation (CCC) to combat the ongoing H5N1 outbreak, according to a recent release. USDA Secretary Vilsack approved the transfer of $824 million from the CCC to the Animal and Plant Health Inspection Service (APHIS) to sustain rapid response activities. This funding will support diagnostics, field response, pre-movement testing, surveillance, and vaccine development for various livestock, including cattle, turkeys, pigs, and goats. This follows a previous $1.3 billion emergency fund dedicated to addressing HPAI detections. To improve monitoring and control of H5N1, APHIS is launching a Voluntary H5N1 Dairy Herd Status Pilot Program. Dairy producers with herds testing negative for three consecutive weeks can join the program, facilitating easier movement of cows with ongoing weekly bulk milk testing. This initiative aims to reduce virus spread and enhance understanding of H5N1. Participating states will begin enrolling herds starting June 3. Farmers can contact their APHIS area veterinarian or state veterinarian to join the program. This initiative complements previous measures, including a federal order on pre-movement testing and biosecurity tool support. The USDA anticipates increased testing and positive results, which will enhance understanding of the disease's spread. This will help producers document virus elimination and maintain H5N1-free herds. U.S. DAIRY FARMERS BREED BEEFIER CALVES TO OFFSET COSTS AMID LOW CATTLE NUMBERS With U.S. beef cattle numbers at their lowest since 1961, dairy farmers are increasingly breeding calves for meat to offset costs, reports Bloomberg. By using beef bull semen to inseminate dairy cows, farmers produce hybrid calves that are meatier and fetch higher prices, providing a valuable income stream amid fluctuating milk prices. These beef-dairy hybrids can sell for $400 to $800 as calves and up to $2,500 when fully grown, making them more profitable than replacement milking cows. This approach helps mitigate the shrinking beef supply, which has declined due to persistent droughts and high costs. As the dairy sector struggles, the demand for beef remains robust, with U.S. consumers eating nearly 60 pounds of beef annually. The trend of breeding beefier dairy calves is expected to continue growing and contributing significantly to the meat market. This strategy allows dairy farmers to diversify their revenue streams and adapt to industry challenges, ensuring a more stable financial outlook despite fluctuating conditions. UPCOMING SALES & EVENTS ISA Beefmasters: October 5, 2024, San Angelo, Texas BULL SALE REPORT & RESULTS Churchill Cattle Company Van Newkirk Herefords Gardiner Angus Ranch Cow Camp Ranch Jungels Shorthorn Farms Ellingson Angus Edgar Brothers Angus Schaff Angus Valley Prairie Hills Gelbvieh Clear Springs Cattle Company CK Cattle Mrnak Hereford Ranch Frey Angus Ranch Hoffmann Angus Farms Topp Herefords River Creek Farms Upstream Ranch Gustin's Diamond D Gelbvieh Schiefelbein Farms Wasem Red Angus Raven Angus Krebs Ranch Yon Family Farms Chestnut Angus Eichacker Simmentals & JK Angus Windy Creek Cattle Company Pedersen Broken Heart Ranch Mar Mac Farms Warner Beef Genetics Arda Farms & Freeway Angus Leland Red Angus & Koester Red Angus Fast - Dohrmann - Strommen RBM Livestock Weber Land & Cattle Sundsbak Farms Hidden Angus Wheatland Cattle Company Miller Angus Farms L 83 Ranch U2 Ranch Vollmer Angus Ranch A & B Cattle Carter Angus Farms Roller Ranch Montgomery Ranch Jorgensen Farms DLCC Ranch Four Hill Farm North Country Angus Alliance Spruce Hill Ranch Wilson Angus FEATURING Trevor Burian @hungrymanbutte Mark VanZee Livestock Market, Equine Market, Auction Time https://www.auctiontime.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ @LivestockMkt @EquineMkt @AuctionTime Kirk Donsbach: Stone X Financial https://www.stonex.com/   @StoneXGroupInc    Shaye Koester Casual Cattle Conversation https://www.casualcattleconversations.com/ @cattleconvos Questions & Concerns From The Field? Call or Text your questions, or comments to 707-RANCH20 or 707-726-2420 Or email RanchItUpShow@gmail.com FOLLOW Facebook/Instagram: @RanchItUpShow SUBSCRIBE to the Ranch It Up YouTube Channel: @ranchitup Website: RanchItUpShow.com https://ranchitupshow.com/ The Ranch It Up Podcast available on ALL podcasting apps.   Rural America is center-stage on this outfit. AND how is that? Tigger & BEC Live This Western American Lifestyle. Tigger & BEC represent the Working Ranch world and cattle industry by providing the cowboys, cowgirls, beef cattle producers & successful farmers the knowledge and education needed to bring high-quality beef & meat to your table for dinner. Learn more about Jeff 'Tigger' Erhardt & Rebecca Wanner aka BEC here: TiggerandBEC.com https://tiggerandbec.com/ #RanchItUp #StayRanchy #TiggerApproved #tiggerandbec #rodeo #ranching #farming References https://www.stonex.com/ https://www.livestockmarket.com/ https://www.equinemarket.com/ https://www.auctiontime.com/ https://gelbvieh.org/ https://www.imogeneingredients.com/ https://alliedgeneticresources.com/ https://westwayfeed.com/ https://medoraboot.com/ http://www.gostockmens.com/ https://www.imiglobal.com/beef https://www.tsln.com/ https://transova.com/ https://axiota.com/ https://www.meatingplace.com/Industry/News/Details/114764 https://www.meatingplace.com/Industry/News/Details/114789 https://www.meatingplace.com/Industry/News/Details/114778 https://www.meatingplace.com/Industry/News/Details/114721  

In his weekly clinical update, Dr. Griffin reports the third case of influenza H5N1 infection in a human, this time with respiratory symptoms, an H5 avian influenza virus wastewater dashboard, FDA approves Moderna's mRNA vaccine for respiratory syncytial virus, vaccine advisors to FDA recommend switching from the XBB.1.5 variant to JN.1 for fall COVID-19 vaccine formulations, weekly US COVID update, a controlled human exhaled breath aerosol experimental study on the relative efficacy of masks and respirators as source control for viral aerosol shedding from people infected with SARS-CoV-2, systematic review of early use of oral antiviral drugs and the risk of post COVID-19 syndrome, long-COVID autonomic syndrome in working age and work ability impairment, Centers for Disease Control and Prevention estimates that 5.3% of Americans currently have long COVID, and the National Academies of Sciences, Engineering, and Medicine presented a report with  a number of conclusions about long-COVID diagnosis, symptoms, and impact on daily function. Subscribe (free): Apple Podcasts, Google Podcasts, RSS, email Become a patron of TWiV! Links for this episode Links coming soon Long COVID evidence based review TWiV shout out Contribute to our Floating Doctors fundraiser Letters read on TWiV 1120 Dr. Griffin's COVID treatment summary (pdf) Timestamps by Jolene. Thanks! Intro music is by Ronald Jenkees Send your questions for Dr. Griffin to daniel@microbe.tv

Former President Donald Trump has been found guilty of 34 criminal charges in his hush money trial. The US says Ukraine can use American weapons to hit targets inside Russian territory. A third person in the US has tested positive for H5 bird flu in connection to an ongoing outbreak in dairy cattle. An AI image about Israel's war in Gaza has gone viral, we'll look at why. Plus, after a dramatic spell-off, a 12 year old has won this year's Spelling Bee. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Seals have lice. This might not sound like a revolutionary fact. Many mammal species carry lice. However, as it happens, seal lice are the only marine insects that exist on this planet. In this episode, our host, Cat Vendl interviews Dr Florencia Soto about her work on the host-parasite-relationship between seals and lice and her recent trip to Antarctica. On this expedition, an international team of researchers investigated the presence and impact of High Pathogenicity Avian Influenza subtype H5 on Antarctic wildlife. And what they found was more pretty concerning. Listen in to Flo's story about the new thread to the Southern continent, the miraculous marine adaptations of seal lice and why Flo can't get enough of the eternal ice in the far South. Flo is a postdoctoral researcher at the Biology of Marine Organisms (Instituto de Biología de Organismos Marinos) in Puerto Madryn, Argentina.LinksArticle on HPAI Australis Expedition Video on Flo's and her colleague's work with Antarctic seal 

durée : 00:55:31 - Côté Club - par : Laurent Goumarre - Côté Club, le rendez-vous de toute la scène française et plus si affinités reçoit Teenage Bad Girl pour son nouvel album ainsi que Ludovic Houplain pour l'exposition "H5 x Penninghen". Bienvenue au Club ! - réalisé par : Stéphane LE GUENNEC

En este episodio especial de Radio el Respeto, nos sumergimos en las gélidas y remotas tierras de la Antártida para explorar un hallazgo científico sin precedentes: la detección del subtipo H5 de la gripe aviar altamente patogénica en este continente. Acompañados por Antonio Alcamí, distinguido investigador del Centro de Biología Molecular Severo Ochoa (CBMSO), un centro de excelencia fruto de la colaboración entre el CSIC y la Universidad Autónoma de Madrid, desentrañamos los misterios y las implicaciones de este descubrimiento crucial. ¿Te imaginas lidiar con virus peligrosos en un laboratorio hecho a la medida en un entorno hostil? Alcamí comparte las anécdotas detrás de los desafíos enfrentados y cómo este descubrimiento podría cambiar nuestra comprensión sobre la propagación de virus. Desde aves hasta mamíferos marinos, el virus no discrimina. Pero, ¿qué significa esto para la región y para nosotros? Alcamí nos da un vistazo a las medidas preventivas en marcha y lo que el futuro depara para esta investigación vital. Este episodio no solo es una travesía al corazón de la ciencia antártica, sino también un recordatorio del impacto que podemos tener en los ecosistemas más remotos. Acompáñanos para explorar los misterios de la gripe aviar en la Antártida y entender por qué este descubrimiento es crucial para todos nosotros. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Síguenos en Redes Twitter: https://twitter.com/radioelrespeto Instagram: https://www.instagram.com/radioelrespeto/ Facebook: https://www.facebook.com/radioelrespeto Redes Sociales del Equipo: | Pablo Fuente | https://www.instagram.com/pablofuente/ | Nacho Sevilla | https://twitter.com/nachorsevilla | Fernando Sierrra | https://twitter.com/Peeweeyo1 _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

※ 投稿邮箱：418150505@qq.com※ 本文章首发订阅号：百车全说，订阅号阅读更加方便，欢迎关注。※ 想要进群，添加微信：46415254（盾牌）说起现如今15万级别的SUV，可选的非常多，尤其是新能源，新品一个接着一个。但是当你打开销量排行榜你会发现，20万以下的紧凑级SUV排名前10位的，有5款新能源，5款燃油车。这说明，现在的局面其实是新能源和燃油车平分天下。现如今的燃油车，不能说是白菜价，但是比起前几年，确实便宜多了。就在周一，哈弗又推出了一款全新的燃油SUV，新哈弗H5。新车定位大型SUV，售价12.28-15.78万。一个大型SUV，才卖12万多？真的便宜有好货吗？今天这篇文章，我们就来好好聊聊新哈弗H5到底怎么样？新车的售价到底怎么样？单论哈弗H5的产品力，新哈弗H5这个12.28-15.78万的售价确实一点不贵。但是这里要强调一点，如果你把它定位在城市SUV，那么这么大的车才卖12万多，便宜的简直有点不像话。但如果你理解它就是一台皮卡，那它底下还有风骏这台皮卡车长5米4，轴距超过3米3，才卖8万多块。那车也是2.0T汽柴油发动机，只不过配的是手动变速箱而已。所以如果以皮卡的眼光去看哈弗H5，这个售价不贵也不便宜。新车有两个大亮点，首先就是它庞大的车身尺寸。新H5光定位就是大型SUV。没错，是大型不是中大型。长宽高为5190/1905/1835毫米，轴距达到了3140毫米。新哈弗H5的车长比同是大型SUV的宝马X7还长了20毫米，轴距长了35毫米。虽然这样对比没有任何意义，但是新哈弗H5的尺寸确实大。同时，他也比自家的坦克500长了120毫米，轴距多了290毫米。所以新哈弗H5是整个长城汽车目前最大的SUV，没有之一。（坦克500）甚至拿它和丰田红杉比，2023款平行进口红杉长宽高分别为5210*2030*1955mm，轴距3100mm，这个尺寸也并没有差太多，所以也有不少网友说新哈弗H5是保定红杉。同时，尺寸大就意味着车内空间大，像什么前后排的腿部头部空间就不用说了，确实够大，但是没有到特别离谱的大。因为整车虽然长度很长，轴距也很长，但是能看得出来，新哈弗H5的后备厢要更大。据说全新H5的后备箱最大纵深可达1965mm，最大容积2116L，真的非常夸张。甚至很多人试过，把新哈弗H5的后备厢放倒之后，就是一张2米长的大床，所以有网友说这就是一台床车，以后开它出去自驾住宿费都省了。为什么放倒会那么平整，像张床，因为二排的座垫是可以往前翻折的。不过如此大的一辆车，只有五座版，究其原因是它和炮系列是同平台，而那些都只有五座版。看来看去，都像是一台金刚炮加了个顶。不过这也有好处，皮卡有报废年限，不能进市区。这台车没有报废年限，也可以随意进出市区。新哈弗H5出自坦克平台，跟坦克500、炮、300等车型属于同平台的产品。比如新哈弗H5全系标配2.0T汽/柴油发动机+采埃孚8AT变速箱。虽然它的动力不至于多强劲，但是只要日常家用，动力肯定足够。不过亮点还在于它的四驱系统。新哈弗H5用的是非承载式车身，纵置发动机的结构，所以两驱版是后驱，而不是传统的前驱。四驱版还提供双速电控分时四驱系统，搭配伊顿机械差速锁。并且新车的接近角为25度，离去角为22度，空载状态下的最小离地间隙为200毫米，涉水深度可达600毫米，所以在硬件上新H5确实算硬派越野车。结合它的价格、尺寸和四驱能力来说，新哈弗H5在20万以下的价位里确实是独一份的存在。比它能越野的没它空间大，而比它空间大的硬派SUV又没它便宜。它和坦克500以及长城炮系列又有什么关系？虽然新哈弗H5的定价很便宜，但是网上对于新哈弗H5的争议依然很大。有人说这么便宜的价格就买到和坦克同平台的产品，确实很有性价比，更别说尺寸还这么大。但事实真的如此吗？其实我更觉得它和长城的金刚炮是亲生兄弟。首先在外观上，尤其是车头部分，哈弗H5和长城的金刚炮长得就很接近。比如都是巨大的镀铬样式的梯形进气格栅，并且大灯也都是矩形。从侧面看，两车B柱之前的线条也非常相近，巨大的轮拱造型，一直延伸到前门上面，所以也是有异曲同工之妙。不过有一说一，新哈弗H5的车尾和坦克500的车尾有点像，所以新哈弗H5更像是金刚炮和坦克500的结合体。其次，新哈弗H5和金刚炮的轴距一样，都是3140毫米。在内饰上，新哈弗H5就和金刚炮更像了。六边形的空调出风口几乎是一模一样，并且中控下方的空调面板也很一致。所以几乎就可以判断出新哈弗H5和金刚炮的关系要更近一点。但是细节之处和金刚炮还是有不少区别的。比如新H5的档把是坦克300的，方向盘是哈弗H6S的，并且中控屏也有12.3英寸，并不算小。此外，如果仔细看过新哈弗H5和坦克500之后，你会发现，虽然两车是同平台，但是在用料上完全符合所对应的价格。坦克500不管用料还是配置都要比新哈弗H5高的多得多。（坦克500）比如坦克500燃油版全系3.0T六缸发动机，并且像方向盘加热、座椅加热，12个喇叭的音响等等，都在坦克500上是标配。所以说全新哈弗H5和坦克500的差距还是挺大的，说它是平替并不准确，其实它更像是金刚炮皮卡的精装SUV版。不过随着新哈弗H5的上市，H9的地位就更尴尬了。原先本就被坦克300，坦克500抢走了风头，现如今H5搞的又大又便宜。虽然懂行的人会觉得这两台车也没法比，因为H9定位更偏家用，做工材质，行驶质感都比H5好太多。但是也肯定有人会觉得，我买H9也是跑工地，买新哈弗H5也是跑工地，H5比H9便宜还能装。当然，如果你看中的是H9的7座版，那H5的确满足不了你，因为它只有5座。不过长远来看，H9车型大概率会停产，被其他产品替代。适合什么人买？其实新哈弗H5的定位很明确，偏向于工具车属性。首先，新哈弗H5采用非承载式车身，虽然结构是前双叉臂，但是后桥是非独立悬挂。所以有大梁再加后桥是非独立，新哈弗H5的舒适表现确实会不如自家的H6、狗系列这类承载式车身再加独立悬挂。并且新哈弗H5的尺寸非常大，超过5.1米的车长有些人可能连车位都停不进。再看配置，你就会发现这车定位并不讨好乘员。比如后排没有中央扶手和杯架，全车也没有侧气帘。即使汽油版顶配L2级驾驶辅助也得选装。后视镜也没有电动折叠，也没有座椅加热、没有自动空调等配置。细看下来，其实新哈弗H5的配置并不高，主打就是一个便宜。所以，这么大的车身尺寸，几乎一半都给到了后备厢，因此全新哈弗H5更像是一台尺寸很大的工具车，并不像一台家用SUV。我甚至越看越觉得新哈弗H5更像是五菱宏光的替代品，空间更大，动力更强，配置更高，买回去绝对是拉货回本的利器。这车主要还是面对那些对装载有更大需求的城市消费者，同时也不影响出行，没有限制。虽然新哈弗H5的分时四驱能力也不差，但是只有顶配的15.78万才有，并且后桥差速锁还需要花3000元选装。但真正想要越野的人大概率也不会选择新哈弗H5，因为新哈弗H5的尺寸太大，轴距太长，真要是越野起来它的身板反而会影响到发挥。如果把它作为一台后勤保障车则非常合适，用它来装载物资和补给就不错。此外，10-15万这个价位，哈弗本身已经有了H6、狗系列、神兽、枭龙等各种家用SUV，覆盖了8-15万价格区间。你如果真要买一台舒舒服服的家用SUV，那以上这些承载式的SUV会更适合你。所以一句话总结新哈弗H5的适合人群，首先对装载空间一定有很大的要求，并且要么不限行，要么需要一个可以遮风挡雨的后斗。而且没有皮卡那种强制报废的规定。所以这么看，新哈弗H5确实是这个价位最合适的选择。配置该怎么选？目前新哈弗H5一共有6款配置，3个柴油3个汽油，同时有2个手动，四个自动挡配置。如果只是想要一台空间很大的工具车，性价比是你首要考虑的问题，那其实最低配的 2.0T手动两驱回归定制版汽油版是不错的选择，才12.28万。如果想要四驱，反而建议你买柴油版的，因为不仅低扭会更好，同时后期的使用成本也会更低。不过目前新车刚刚上市，等到后期优惠超过一万的时候入手是比较合适的选择。写在最后现在的新哈弗H5已经不是当初那个H5了，早期哈弗H5其实就是H3的升级版，而H3又是之前火遍大江南北的长城CUV，这才是H5的开山之作。非承载式车身，又有柴油和四驱，价格却只有十万出头。在当时那个年代，哈弗H5确实非常有性价比，也吸引了多少有越野梦，又囊中羞涩的消费者。到了2010年，哈弗H5又推出了新款，并且还有欧风版和智尊版两套外观设计，以适应不同用户的喜好。到了2013年，哈弗正式独立了出来。但是后来的状况大家也都看见了，H6的崛起已经完全压住了H5的风头。因为大家发现H6这种承载式车身的SUV更舒服，更适合家用，所以纷纷都选择差不多价格的H6。所以老H5最终在2018年正式停产。而如今，H6和它的衍生产品已经非常多了，这时候市场上反而需要一款偏工具属性的硬派SUV产品。而且，在全面新能源化的今天，新哈弗H5并不是来扛大旗的，而是填补更多细分市场的空缺。能看出来长城在竭尽所能提高自己产品的市场份额，哪怕是一些小众市场长城也不想放过。所以大家千万不要感觉新H5又大又便宜，你就上头去买，一定要确定自己的使用场景，适合的才是最好的。作者：三刀、新一编辑：新一可以添加微信46415254加入我们的社群音频图文更新在订阅号： 百车全说每期抽三条留言，每人赠168元的“芥末绿”燃油添加剂一瓶点击订阅，每周三，周六更新会有提醒新听友可以搜索：百车全说2014，百车全说2015，百车全说2016，往期300多个小时的节目可供收听

※ 投稿邮箱：418150505@qq.com※ 本文章首发订阅号：百车全说，订阅号阅读更加方便，欢迎关注。※ 想要进群，添加微信：46415254（盾牌）现如今花20万买一台轿车，你们会怎么选？我相信这群消费者主要分为两大派，一种还是只认合资燃油B级轿车，比如雅阁、凯美瑞、帕萨特、迈腾。另一种是选择新能源车型，比如比亚迪汉、深蓝sl03、小鹏P7等。但是这个价位就没有一台销量不错的国产燃油B级轿车了吗？还真有。打开中型轿车的销量排行榜你会发现，最近两个月，红旗H5的销量很不错，六七月份都超过了9500台，七月份排在中型轿车销量排行榜的第七名，也是为数不多卖得不错的国产燃油B级轿车。不过今天我们要聊的并不是H5，而是之前在上海车展上市的红旗H6。新车定位依旧是B级轿车，但是造型偏向于溜背轿跑，指导价为19.28-23.98万。这个价格你先别嫌贵，我知道会有不少网友说，隔壁同样是中型轿跑车，定价才11.98-16.98万，凭什么这车…凭它是红旗，你加上品牌溢价能力了吗？所以今天这期节目，咱们就来好好聊聊红旗H6和H5有什么区别？多花几万买红旗H6值吗？和竞品又该怎么选？红旗H6和H5都有哪些相同和不同？在车型定位上，红旗H6和H5一样都是定位中型轿车，并且三围尺寸都很接近。其中H6长宽高为4990/1880/1455mm，轴距为2920mm。所以它和H5的长度和宽度十分接近，只有高度上矮了25毫米，轴距更是一模一样。其次在动力上，虽然H6没有1.5T版本，但是2.0T低功版和H5的2.0T一样，最大马力224匹，最大扭矩340牛·米，匹配8AT变速箱。但是H6的2.0T低功率版只有一款，实际主售的版本是2.0T高功率版，最大马力252匹，最大扭矩380牛·米，共有3个配置。不过H5和H6两车用的底盘悬架都是前麦弗逊后多连杆的结构，且共用一个平台。主要不同还在于看得见的外观和内饰上。H5的2.0T版本定价17.98-21.58万，H6全系2.0T定价19.28-23.98万。看起来差价2万多。实际上，H5主销配置是16.98万的1.5T中配，而H6的主销配置是21.58万高功率中配，价差4万多，这价差不是一般客户不可能说H5转H6，就能随便转的。实际站在车前，你会发现H5和H6的风格截然不同。H5一看便是标准的B级三厢轿车，4988毫米的长度，虽然图片上看可能觉得不大，但是实际数据在B级轿车中绝对算大的。尤其是2920毫米的轴距比四大金刚，比尺寸最大的迈腾还长了49毫米。虽然很多人说既然H5的销量不差，路上都没见到几台，但其实在很多北方城市，它的能见度并不差。还有一种可能，会不会是因为不仔细看，就会把H5当作H9了？都是经典的竖状大嘴设计，所以远看就是一台活脱脱的小H9。而H6的整体设计要比H5更加动感。比如H6的车头显得更低趴，进气格栅的重心也明显下移了许多，所以看起来要比H5更凶。但是主要区别还在侧面和车尾，敲重点，H6是掀背车。所以车尾的造型就很动感，而且后备箱也更加实用。不过他的造型和那些常规的掀背车还不一样，跟奥迪A5、MG7以及长安UNI-V比，红旗H6的车尾明显不够溜背。虽然看上去确实很运动，但H6的车尾更像双门轿跑车Coupe的造型，不像一台四门掀背轿跑。所以远远看去不知道的真不会以为它是一台掀背车，更像一台三厢轿车。并且H6也并不是无框车门，只有在打开后备箱的时候才知道它是掀背车，所以感觉H6的这个造型还不够极致，和三厢的H5差别并没有拉的很大。不过贯穿式的双层尾灯再加中置双出排气的设计，让车尾看上去确实比H5激进多了。此外，H6是标配18英寸轮圈的，而H5只有中高配才有，低配是17英寸的轮圈，所以看起来H6也更运动一些。在内饰上，H6和H5的布局完全一致，都是12.3英寸的液晶仪表+12.6英寸的中控屏，看起来和H5也是一模一样。不过H6的内饰配色和细节处处理的和H5完全不同，纳帕真皮，翻毛皮，甚至看起来像碳纤维的饰板都用上了，所以导致乍一看H6的内饰要比H5更战斗。还有一些细节，比如H5的用的是圆形的方向盘，并且内饰都是纯黑或者纯白两种，看起来就很豪华的感觉。但是H6用的是亮黄色和黑色双拼色搭配，座椅也是一体式的运动座椅，方向盘也改成了三幅平底式，还配有换挡拨片，顶部区域还用上了看似是碳纤维材质包裹，确实要比H5更帅，年轻人确实会更喜欢。此外在动力上，H6全系都是2.0T+爱信8AT，除了有一款与H5一样的低功率版，还有动力更强的2.0T版，官方给出的百公里加速6.8秒，如果是参数党，应该看起来会很兴奋。所以H5和H6的关系，有点像大众迈腾与CC，一个是标准的三厢轿车，一个是更运动的掀背轿跑。红旗H5和H6该怎么选？从价格上来看，H5的起售价只要15.98万，比H6的起售价便宜了3.3万。不过那是1.5T版本。真要对比，应该拿H5的2.0T 入门款17.98万旗享版来对比，正好比H6最低配便宜了1.3万元。如果仅是这一点价格差，那肯定买H6了。但是对比这两款配置，明显是H5 2.0T旗享版的更高，比H6入门的致美版多了：全速自适应巡航、全景天窗、真皮方向盘、8个喇叭的丹拿音响等。如果H6想要这么多配置，就得去到20.58万的致逸版了，那价差得有4.6万。不过之所以H5的销量这么高，和它优惠力度有很大关系。最近你只要到店去谈，H5优惠基本上3万都还只是起步，谈到3.5-4万也都是不难的事。比如18.98万的2.0T旗畅版，如果按优惠3.5万来算，裸车只要15.48万，落地在18万出头，所以落地价比指导价还要便宜一点。有些客户还是认红旗品牌力的 ，18万就能买到一台红旗的B级轿车，他会觉得挺有性价比的。所以还是那句老话，没有卖不出去的车，只有卖不出去的价格。如果是换作最低配的1.5T旗悦版，本身裸车价就只有15.98万，最终落地也就在十五六万，这个价格明显更诱人，所以H5现在1.5T和2.0T版本都有人买，卖的最好的版本就是次低配16.98万的1.5T旗韵版。优惠3-4万，我觉得差不多也算是抄底了，现在应该是不错的入手时机，想要性价比就选1.5T旗韵版。如果要更好的动力和配置，就选18.98万的旗畅版。虽然H6的优惠也不小，终端也能谈到3万上下，但是整体价格还是比H5贵了约3万左右。对于很多普通人来说，尤其是现阶段去抄底H5的人来说，虽然H6的造型确实帅，掀背尾门的设计也让后备箱空间更实用，中置双出排气的设计也更拉风，但是价格却贵了3万，落地普遍都要20万上下了。这3万多的价差对于他们来说，给H5加几年的油岂不是更划算？所以在性价比面前，外形帅气对有些人来说，根本不值一提。要不然的话，大众CC的销量早就超过迈腾和帕萨特了。所以H6虽然很帅，但是更贵的价格对于大多数消费者来说有些望而却步，毕竟想帅是有成本的，且这并不是生活的刚需。只有那些真正看重颜值，预算充足，又把颜值作为首选要素的消费者，才愿意多花几万为设计买单。因此H5和H6其实很好选，就像迈腾与CC、A4L与A5一样，走量的肯定是H5。H6更战斗的外观和更贵的价格也注定它只是款小众车型。同级都有哪些对手？放眼同价位的车型，似乎竞争对手很多，但又好像没多少。因为H6独特的外形和个性，买它的消费者首选是认可红旗，其次才是认可产品。所以理论上雅阁、凯美瑞、帕萨特和迈腾的客户不太会去看这车，至于新能源就更不可能了，燃油车都不在他们研究范围内，更不可能看到红旗H6。但是现如今有些话还真不能说太死，因为B级车市场长期被日系和德系控制，现如今国产新能源抢走了N多日德系客户，导致丰田、本田、大众的品牌力下滑严重，大家不再迷信雅阁、凯美瑞、帕萨特、迈腾是唯一的选择，看看咱们国产比亚迪汉的销量，就知道消费的风向变了。那么国产B级车有哪些呢？哎，按照这个逻辑往下看，自然就看到红旗H5和H6了。无论空间，配置，还是动力，内饰材质，的确比合资更有吸引力。当然，仍然相信合资B级车口碑和品牌力的大有人在，虽然网上总在说这几台车已经老掉牙了，但是你不得不说这几台车作为普通家庭第一次的置换车型来说，确实很合适，这么多年来没有什么大问题，油耗也不高，后期的保养也在预算范围内，买它的人图的就是一个省心，不犯错。其中H6的竞品最为接近的一定是大众CC，因为车型定位最为接近。虽然对比大众CC,红旗H6在价格上有不少优势。毕竟算上优惠，现在中配落地约20万出头。但是CC的380夺目版现在落地约在23-24万左右，比红旗H6贵了3-4万。所以和CC比，H6是有性价比的，252匹的最大马力动力也要更强一些。并且都是次顶配，H6的配置也要更丰富，尺寸也要更大一点。但是相比CC，H6有个致命的缺点，那就是H6没有无框车门，而CC有。这也是很多人宁愿多花几万买CC最主要的原因之一。除了电动尾翼，CC有个帅气的大溜背和无框车门，这就让很多年轻小伙欲罢不能。所以想要无框车门的就选CC，H6的性价比不错。相比凯迪拉克CT4，H6和它也是风格迥异。虽然两车的销量差不多都在1000台左右，但是CT4是后驱，优惠也不小，所以我相信买CT4的都图它是最便宜的纵置引擎后驱布局的豪华品牌轿车，要不然CT4真的没有任何卖点了。因此H6和CT4在产品上还是有些差异。反倒是像迈锐宝XL的用户很有可能会导向红旗H6，毕竟都是横置发动机的前驱车，红旗H6还有更好看的外形和内饰，动力也不差，所以现在与其买迈锐宝XL真不如看看红旗H6。不过综合来说，红旗H6更像是H5的互补，很多觉得H5不够运动的消费者，当他们看到旁边展位的H6后，在了解完它的价格比H5 2.0T版贵三四万之后，觉得在承受范围内，所以果断下了单。红旗的消费者，其实有不少还是在体制内上班的年轻人。之前在拍摄的时候就遇到一位刚买朗逸的车主，说之前一直在对比红旗H6，虽然很想买红旗，但是在家人建议下，还是买了朗逸。因为这是他们家庭的第一辆车，还是对合资品牌更信任一点。配置怎么选？目前红旗H6一共有四款配置，但是最低配的致美版是2.0T低功率发动机，最大马力224匹，最大扭矩340牛·米。并且在配置上液晶仪表也只有7英寸，扬声器也只有6个。而252匹的2.0T高功率却有三个配置，最推荐的还是中配的致尚版，轮胎更宽了，从225变成了245毫米，还多了360全景影像、L2级驾驶辅助、更运动的碳纤维方向盘、换挡拨片、方向盘加热、12个喇叭的丹拿音响、车载香氛等，价格上只多了一万元，还是很值的。而至于顶配的致臻版，主要差别在于可以软硬调节的悬挂，所以这个配置开起来尤其是跑山的时候应该会更爽，但是最重要的还是要看自己的预算。多花1.6万，除了悬挂不同，还要前排双层夹胶玻璃，后排隐私玻璃，4G换5G，HUD抬头显示，前排主驾按摩座椅，看起来加1.6万也值。说到底，红旗就是一路引导你上顶配。写在最后其实红旗品牌这几年来一直在往年轻化发展，也想让自己的产品多元化。从上一代的H5，到后来的HS5都能看出来。虽然H6自上市以来销量没有太高，但它的地位绝对不容小觑。毕竟作为红旗往年轻化道路上转型的重要一步，H6即使没有那么极致的溜背轿跑造型，但它的设计也确实俘获了很多年轻人的芳心，说明H6的设计是成功的，这就够了。起码以后谈到红旗，也有足够运动的轿跑车H6作为谈资。不过在新能源大潮的来袭之时，希望后红旗还能推出更运动的新能源车型，毕竟这才是大势所趋。你们说对吗？作者：三刀、新一编辑：新一可以添加微信46415254加入我们的社群音频图文更新在订阅号： 百车全说每期抽三条留言，每人赠168元的“芥末绿”燃油添加剂一瓶点击订阅，每周三，周六更新会有提醒新听友可以搜索：百车全说2014，百车全说2015，百车全说2016，往期300多个小时的节目可供收听

On this weeks episode we take to the road to hangout with some of our all time favorite podcast friends as we check out the venue D'Space and their podcast studio We are joined by Shannon Tarrant of Wedding Venue Map, Tricia Henson of THC and H5, Michele Granger of Christies and Shannon McLaughlin of D'Space We have wedding updates, new company launches, how to perfect your headshot and details on the hottest venue/coworking space in east Orlando Plus Brightline announces its opening date and price, Will the voice of MCO return for a 6th term, and hear what iDrive area restaurant expects to open its doors on Cinco de Mayo. We do a deep dive on some past networking events and highlight a few big ones coming up, including one where we can dust off our college attire. And finally this will be our last episode for a while as our own Jo Fostock is due any day now and we always take a break for the summer as well.

In this episode of AUHSD Future Talks, Superintendent Matsuda interviews Alex Kotran, founder of the AI Education Project. During the talk, Mr. Kotran discusses his journey, aiEDU, artificial intelligence and content area, chatGPT, ethics and artificial intelligence, artificial intelligence and teaching, and what is ahead for aiEDU and the future of education.Mr. Kotran oversees strategy, partnerships, fundraising, and external relations for the AI Education Project. Prior to founding the AI Education Project, he built the AI Ethics and Corporate Social Responsibility function for H5, Inc., a pioneering AI company in the legal services sector. At H5, Mr. Kotran led strategic partnerships with organizations including the United Nations, NYU School of Law, the OECD, and IEEE to develop judicial education programs and high profile convenings. Prior to his time in the social impact and non-profit space, he managed brand and policy communications for companies including Oracle, Airbnb, Nissan, HP, Adobe, and SAP. He was a lead Field Organizer in Columbus, OH for the 2012 Obama Campaign and served as a Presidential Appointee under HHS Secretary Sylvia Burwell, where he managed communications and community outreach for ACA Open Enrollment, two SCOTUS rulings, and the 2015 Ebola outbreak.

Sam Lee is the Co-CEO and President of Cocrystal Pharma, focused on pandemic viruses and seasonal influenza to develop a drug that is cross-spectrum with a high barrier to drug resistance. Using computational data, as well as high-resolution X-ray data, their platform allows options for newly emerging viruses that also address potency and combination treatment options. Sam explains, "We just completed the Phase I study. In the Phase I study, we demonstrated the favorable safety and tolerability of this compound, CC-42344. We designed this compound for pandemic and seasonal influenza A infection. Particularly, this compound is highly sensitive to the avian influenza strain, potentially an emerging pandemic strain." "I think with antiviral drug development, you always have to think about three important things. One is the cross-spectrum, which covers the existing viruses. For example, in the influenza case, influenza H1N1, H2, and H3. And beyond seasonal influenza viruses are pandemic viruses, H5 and H7, and potentially emerging avian flu. So we want to cover all these viruses. That's a really important goal." "Once you achieve good potency and cross-spectrum activity, then you want to solve the pharmacology. It's going to be a once-a-day drug with the excellent drug resistance. Drug resistance is a really key contribution using our platform approach. " @CocrystalPharma $COCP #PandemicFlu #CC42344 #SeasonalInfluenzaA #Flu #Pandemic CocrystalPharma.com Download the transcript here

Sam Lee is the Co-CEO and President of Cocrystal Pharma, focused on pandemic viruses and seasonal influenza to develop a drug that is cross-spectrum with a high barrier to drug resistance. Using computational data, as well as high-resolution X-ray data, their platform allows options for newly emerging viruses that also address potency and combination treatment options. Sam explains, "We just completed the Phase I study. In the Phase I study, we demonstrated the favorable safety and tolerability of this compound, CC-42344. We designed this compound for pandemic and seasonal influenza A infection. Particularly, this compound is highly sensitive to the avian influenza strain, potentially an emerging pandemic strain." "I think with antiviral drug development, you always have to think about three important things. One is the cross-spectrum, which covers the existing viruses. For example, in the influenza case, influenza H1N1, H2, and H3. And beyond seasonal influenza viruses are pandemic viruses, H5 and H7, and potentially emerging avian flu. So we want to cover all these viruses. That's a really important goal." "Once you achieve good potency and cross-spectrum activity, then you want to solve the pharmacology. It's going to be a once-a-day drug with the excellent drug resistance. Drug resistance is a really key contribution using our platform approach. " @CocrystalPharma $COCP #PandemicFlu #CC42344 #SeasonalInfluenzaA #Flu #Pandemic CocrystalPharma.com Listen to the podcast here

Is creativity a trait or a state? Using the H5 approach (health, hand, heart, head and harmony) Trish encourages the use of creativity for positive change. This approach actively engages Heart, Hand, Health, Head and Harmony to show you how being in a creative state can improve communication & collaboration, solve problems, build resilience and see with a fresh perspective. Being in a creative state improves self-awareness, confidence, communication, critical thinking, problem-solving, the ability to make good choices, maximise opportunities and be collaborative. It also encourages resilience through the ability to improvise, revise and pivot. Creativity is part of the journey, it's not the destination, it's a thorough way. To move beyond creativity as a personal trait and into a holistic state of being and doing. Trish is an accredited Coach with 20+ years of experience helping individuals and organisations unlock their expertise by bringing creativity, clarity and humour to complex and challenging obstacles. Trish believes that we all have the skills, knowledge and creativity to achieve everything we desire. Sometimes though we need a bit of guidance to help us filter out the noise of expectations, Brules (bull*#@t rules), limiting beliefs, bad experiences and outdated behaviours. Connect with Trish: www.sixtisixsolutions.com.au ▼ ▼ You can connect with/follow Talking with the Experts: Grab The Podcast Wizard Checklist (it's free) https://bit.ly/3djRBXz Support the podcast and Buy me a Coffee: https://www.buymeacoffee.com/rosesdavidson Become a patron https://www.patreon.com/talkingwiththeexperts Leave a Google review: https://g.page/r/CaXk7K3UlEhzEBI/review Leave a review on Podchaser: https://www.podchaser.com/podcasts/talking-with-the-experts-1491692 Email: guest@talkingwiththeexperts.com Website: https://rose-davidson.com/ LinkedIn: Rose Davidson: https://www.linkedin.com/in/rose-davidson/ Talking with the Experts: https://www.linkedin.com/company/talkingwiththeexperts/ Facebook Page: [Rose Davidson] https://www.facebook.com/onlineeventmanagerandpodcasttrainer Instagram: https://www.instagram.com/rosedavidson_speakersupport/ SoundCloud: [Follow] https://soundcloud.com/talking-with-the-experts YouTube: [Subscribe] https://www.youtube.com/channel/UCkM5n5QJhnNAmUiMzii73wQ #business #entrepreneur #learnpodcasting #podcastepisode #podcastguest #podcasting #podcastinterview #podcastplaylist #podcasts #podcastskills #podcastshow #rosedavidson #smallbusiness #talkingwiththeexperts #video #vodcast