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A look at UCSF's Weill Neurosciences Building in Mission Bay. Series: "UC Landmarks" [Health and Medicine] [Show ID: 40744]
This week, Mike Pritchard from the Tribute out of Seaforth Landing in Mission Bay stopped by to talk about the epic fishing off Colonet. PLUS we go into the history into his boat. Join CCA: www.JoinCCA.orgVisit us: www.CCACalifornia.org
Have you heard of these unique SD activities? The Japanese Escape Room downtown... A Hot Tub Boat Cruise... A GoCar Tour.. A night-time Paddle Pub Tour on Mission Bay... How about Mardi Gras in the Gaslamp this weekend? Friday, Saturday, and Tuesday night. And, did you know the Carlsbad Flower Fields open on Saturday? Just a few ideas to spice things up.. How about a heap of juicy celebrity news? Erik brings it hardcore in his weekly Double D Hollywood Report. Is Justin Bieber ok? Diddy's lawyer says "Adios....I'm out!' New music alert....guess the artist. A list of the 10 funny comedy movies from start to finish....join the debate. An update on the haunted doll Producer Bryan bought on eBay....who recently freaked out over it. Must watch TV shows we're obsessed with right now. d The next episode is all about The Oscars...Erik is heading up to Hollywood to style a celeb and Laura tells us why she's blacklisted from the show. Escape your stress and hang out with us for a little while. You're part of the family. Love your podcast!Become a supporter of this podcast: https://www.spreaker.com/podcast/laura-cain-after-dark--4162487/support.
In this episode, host Lynn Reinke, PhD, ANP-BC, FAAN, FPCN®, ATSF discusses approaches to philanthropy with Amy Jacobs, MSN, RN and Catherine Pyke, M.A. Ed., board members of the Hospice and Palliative Nurses Foundation. Related Resources: Learn more about the Hospice and Palliative Nurses Foundation (HPNF) Contribute to HPNF's 2024 Annual Appeal About the Speakers: Amy Jacobs, MSN, RN Amy Jacobs received her BSN from Lock Haven University of Pennsylvania and her MSN from the University of South Alabama. Amy is currently a Hospice Compliance RN for Compassus. Prior to her current position, she held leadership positions in hospice, palliative care, and quality with BJC Homecare in St. Louis. She was an integral part in the development and opening of Evelyn's House, a 16-bed hospice inpatient house, in St. Louis. She also assisted in the implementation of a system-wide palliative care program. She has volunteered with HPNA and HPNF for several years as an award reviewer, member of the planning committee for the annual assembly, and a member of the HPNA Professional Development Advisory Council. She is especially proud to have facilitated support for the Emerging Leaders Award with HPNF and the BJC Institute for Palliative and Supportive Care. Catherine Pyke, M.A. Ed. Catherine Pyke worked for thirty years in non-profits in the San Francisco Bay Area, primarily as a program officer for the Hearst Foundations and more recently as a Philanthropic Advisor for the Gladstone Institutes in Mission Bay. She is the founder of Centerpiece Philanthropy, a consultancy that provides philanthropic advising and coaching, grant writing, strategic planning and group facilitation. She is the author of Jane Lathrop Stanford, Mother of a University. In addition to serving on the HPNF board, she serves as the Communications Chair for the San Francisco Region of the Order of St John, an international volunteer organization whose mission is to support St John of Jerusalem Eye Hospital and social and health care needs in the U.S. She recently completed two terms on the board of the Episcopal Impact Fund in San Francisco. An alumna of Scripps College in Claremont California, with a Masters in Education from Stanford University, she came to appreciate the contributions of innovative philanthropists, while visiting colleges, universities, medical centers arts organizations and social service agencies throughout the West. A native of Salt Lake City, she currently lives in Santa Rosa, California.
Show Notes: https://wetflyswing.com/684 Presented By: Grand Teton Fly Fishing, Heated Core, Waters West, Angler's Coffee Today, we're surf fishing California, home to some of the toughest surf fishing spots in the country. Southern California also boasts one of the largest manmade bays and some of the best weather and fish species around. Tyler Vanosdell from Mission Bay Fly Fishing takes us from his roots on a cotton farm to becoming a San Diego fly fishing guide. Tyler shares the top three things you need to do before hitting the surf, the best apps to use, and essential tips for casting a full sink line. Plus, you'll learn why the strip set is critical and how walking your line can make all the difference. Show Notes with Tyler Vanosdell on Surf Fishing California. 02:10 - Growing up on a fifth-generation cotton farm in western Arizona, Tyler started fly fishing on the muddy Gila River, catching largemouth bass, catfish, and even carp before it became popular. 03:42 - Tyler spent time in Montana, Utah, Colorado, and even traveled to Mexico and Costa Rica before landing in San Diego. It was a chance offer from a friend needing a roommate that brought him to San Diego, and he's been there for almost 18 years now. Surf Fishing California: Where to Begin? 05:24 - The first thing Tyler teaches new surf anglers is understanding the conditions. The waves are constant in San Diego, so knowing how to read the waves, tides, and wind is key. Tyler also emphasizes showing beginners the right structure and how to use apps and gear. Must-Have Apps for Surf Fishing 06:43 - Tyler recommends starting with free apps for tides and wind. For waves, he suggests paying for Surfline, which costs about $10 a month. The cool part? Surfline offers live video feeds of different beaches, letting you scout out fishing spots before heading out. Surf Fishing Species 07:51 - Tyler talks about the top fish species to target in Southern California. Corbina - The most popular by far is corbina (or "beans"), which come into shallow waters in the summer to feed on sand crabs. Halibut - Tyler also loves fishing for halibut, especially the big ones. There are two types of halibut: Pacific halibut California halibut Croakers (like Yellowfin and Spotfin) Corvina - a toothy fish similar to white sea bass. Ideal Fishing Conditions and Timing Tyler explains that fishing in San Diego is possible year-round, but winter is his favorite time. It gets crowded in summer, so Tyler tries to fish early to avoid the crowds. When it comes to conditions, he looks for low-energy waves, around zero to two feet. For tides, he prefers lower ones, especially around zero to two feet, which helps him find good structures for casting. He also likes light winds, ideally 3 to 5 knots, for a smooth experience. Tyler encourages anyone interested in surf fishing to give it a try. The conditions might be tough some days, but other times, it feels like everything just falls into place. He believes if he can do it, anyone can. Gear and Casting Tips for Surf Fishing 18:57 - Tyler talks about the gear he uses for surf fishing. He usually takes one rod, sometimes two, with a backup just in case. He recommends a full sinking line of around 250 grains to handle the strong surf and currents. He explains how casting with a heavy sinking line takes a bit of practice but it's all about letting the rod do the work. Tyler also suggests using a wider casting stroke and double hauling for distance. Start close, work your way out, and you might even catch fish right in front of you. 24:18 - Tyler says low tide is the best time to spot fish-holding structures like rocks, holes, or steep beaches. These areas give fish a place to feed or wait for prey. Tyler also recommends checking out river mouths, which are great spots because they bring in brackish water full of baitfish that predators love. 29:15 - Tyler sticks to a few key flies like the Clouser and Surfin' Merkin, which are great for catching fish in Southern California. He uses size four hooks with medium dumbbell eyes, and colors like red and white, chartreuse, or olive. Tyler also likes red flies because they're popular in the area. Chasing Corbina and Other Fish 38:56 - Tyler talks about how fishing for corbina can be a mix of blind casting and sight fishing. Sometimes the fish are right at the water's edge, and you can literally see their backs and tails. To catch them, you often have to wade out into the water depending on where the structure is. Mission Bay Fly Fishing 44:11 - Mission Bay is the heart of fly fishing in San Diego. It's the largest manmade aquatic park in the U.S., offering 34 miles of fishable shoreline. You can walk around, cast, and explore different areas, making it super accessible. One of the coolest things about fishing there is the spotted bay bass. It's a unique species to the area, and you can catch them year-round. Tyler likes fishing at lower tides with an intermediate sinking line for better results. Show Notes: https://wetflyswing.com/684
In this episode, Cherise is joined by Christopher Roach, Principal, and Nick Brown, Senior Associate from Studio VARA in San Francisco, California. They discuss the Sister Lillian Murphy Community in San Francisco.You can see the project here as you listen along.The Sister Lillian Murphy Community is a vibrant, pedestrian-friendly housing development nestled in the heart of San Francisco's Mission Bay neighborhood. Designed by Studio VARA in collaboration with Paulett Taggart Architects, the multifamily block is part of a 152-unit affordable housing project for Mercy Housing. Its striking façade, colorful material palette, and 4-block design harmonize with neighboring townhomes across a shared pedestrian walkway.If you enjoy this episode, visit arcat.com/podcast for more. If you're a frequent listener of Detailed, you might enjoy similar content at Gābl Media. Mentioned in this episode:ARCAT Detailed on Youtube
Tiptoe through the Sh*tShow...Today, 10.12.2024 -We're at the 1,889 mark on the computer campaign! Thank you! Just a little more to go. https://GiveSendGo.com/BaalBustersI'm back fresh from a 2 day adventure to San Diego with my daughter. We stayed at Paradise Point on Mission Bay, and the following day after enjoying some of the resort amenities, we went to SeaWorld. That was a lot of fun. My daughter always wants to be at the front of the coasters. She's a fearless one. It's such a fascinating and rewarding experience being her dad. Today on the show we'll be going over a range of topics. You're welcome to call in and report anything you find of interest and we'll have some fun, tonight.DR PETER GLIDDEN, ND Health Recovery Site:https://leavebigpharmabehind.com/?via=pgndhealthUse Code baalbusters for 50% OFF - LIMITED TIME Just For UsFor the 90 Essential Nutrients, Contact Brenda here: 888 618 1796 ext. 101 Mention the Show!Hey Everyone I'm raising funds to build a video editing and streaming computer. This one I have is on its last days and I don't want the channel to end when it completely goes out. We are only $200 away from the goal!YOU ARE the CHANGE. You ARE the Sponsors.Computer Fundraiser here: https://GiveSendGo.com/BaalBustersEuropean Viewers You can support here: https://www.tipeeestream.com/baalbusters/GET COMMERCIAL FREE VIDEOS/PODCASTS and Exclusive Content: Become a Patron. https://Patreon.com/DisguisetheLimitsMy Clean Source Creatine-HCL Use Coupon Code Victory 11% Offhttps://www.semperfryllc.com/store/p126/CreatineHCL.htmlGo to https://SemperFryLLC.com to get all the AWESOME stuff I make plus use code Victory for 11% OFF just for BB viewers!Quick Links to Dr Monzo and Dr Glidden are found on my website.Want to send me something?Baal Busters Broadcast#1029101 W 16th Street STE AYuma, AZ 85364BE ADVISED: If you are compelled to mail a check for show support, it must be written out to Semper Fry, LLC.Thanks!Become a supporter of this podcast: https://www.spreaker.com/podcast/ba-al-busters-broadcast--5100262/support.
Summary In this quickfire questions episode, James asks Trent about his favorite place he's ever lived, favorite international food, favorite international tradition, and more. Trent shares his love for Mission Bay in New Zealand, Indian food, Las Fallas in Valencia, and the experience of living abroad. He also talks about his homesickness remedy, access to American food, the language barrier, making new friends, and the best things to do in Auckland. Trent's expat life hack is to put your wallet in your front pocket. Takeaways Living in Mission Bay, New Zealand was a great experience for Trent because of its proximity to the beach and the city. Trent's favorite international food is Indian food, which he discovered and fell in love with while living in New Zealand. Las Fallas in Valencia, Spain is Trent's favorite international tradition, where huge paper mache structures are built and burned in a big party. The best thing about living abroad for Trent is meeting internationally open-minded people and having conversations with them. Trent's homesickness remedy is to drink apple cider vinegar and water with ginger or lemon to reduce fever. Access to American food was possible for Trent through an American store in Auckland, where he could find familiar comfort foods. The language barrier was the hardest thing for Trent when living in Spain, but he learned to communicate with people without talking a lot. Trent's best way of making new friends was by showing up to places alone and striking up conversations, or joining group activities like boxing training or volleyball. Getting out of Auckland and going to the beach or countryside was the best thing to do in the city for Trent. Trent's expat life hack is to put your wallet in your front pocket to avoid potential theft or loss. Sound Bites "Man, I was 600 meters from the beach" "The flavor and it's just amazing with the rice and then the curry thing and then you got your naan bread with it man you throw a throw a lager in there man Unbelievable Rob." "Once a year they build these huge like paper mache things that are you know three or four stories high man and right in the city I mean like you know meters away from like an apartment building man. They're crazy man they let the they light these things on fire and watch them burn up you know it's just yeah it's wild it's awesome man you know it's a big it's a big party deal." Connect with Us: Website: https://www.tallmantravels.co.uk/the-expat-pod Facebook: https://www.facebook.com/profile.php?id=100089327439022 Instagram: https://www.instagram.com/the.expat.pod/ X: https://twitter.com/ExpatPod LinkedIn: https://www.linkedin.com/company/the-expat-pod/ Subscribe, Rate, and Review: If you enjoyed this episode of The Expat Pod, please subscribe, rate, and leave us a review on your favourite podcast platform. Your support helps us reach more listeners like you and continue to deliver valuable content on life as an expat. Chapters: 00:00 Introduction 02:28 Best Thing About Living Abroad: Meeting Internationally Open-Minded People 04:18 Access to American Food in Auckland 06:45 Making New Friends: Showing Up Alone and Joining Group Activities 08:08 Expat Life Hack: Put Your Wallet in Your Front Pocket 09:04 Conclusion
LISTENER PROBLEM: Feeling Unfulfilled Despite Achieving My Goals (Part Three In this episode of *Join Up Dots*, we delve into the profound experience many successful individuals face after reaching the pinnacle of their careers or financial goals: the unsettling feeling of emptiness and the loss of that once-burning spark of motivation. You may have spent years, maybe even decades, striving toward a vision of success that involved financial independence, freedom from the daily grind, or the accomplishment of a lifelong dream. But what happens when you finally get there and realize that the victory feels hollow? We're joined by listeners from all corners of the globe who have bravely shared their stories of this very struggle. These stories are deeply personal, yet strikingly universal, highlighting a common challenge faced by those who have “made it” in life, only to find themselves asking, “What now?” Emma from Fitzroy, Melbourne, opens up about how she spent years building her business with the dream of financial independence as her ultimate goal. When she finally reached it, the fire that once fueled her drive seemed to vanish. She spent months trying to reignite that old spark, believing that she just needed to push harder. But as she listened to this podcast and heard the powerful quote, “If you're searching for the spark you used to have, maybe you've used it up,” Emma had a realization. Instead of trying to revive an old flame, she decided to search for a new one—a different kind of passion that could bring her fulfillment in this new phase of her life. Carlos from Lapa, Rio de Janeiro, shares a similar story. After building a successful tech company and achieving the financial freedom he dreamed of, he felt disconnected and lost. That same drive that once pushed him to work 80-hour weeks had disappeared, leaving a void he couldn't seem to fill. Carlos' story is a reminder that the journey often holds more meaning than the destination. Upon hearing the quote about using up your spark, he began to consider the possibility that it's time to discover a new passion—something entirely different that could bring joy and purpose back into his life. Aisha from Clifton, Karachi, takes us through her own journey of climbing the corporate ladder and securing a level of financial security she had always aspired to. Yet, after reaching the summit of her professional life, she found herself feeling empty. The spark that once drove her to excel had faded, leaving her questioning her next steps. The podcast made her realize that perhaps the spark that got her to this point isn't the one that will carry her forward. Aisha's story is a powerful example of how success can sometimes be a double-edged sword—fulfilling in one sense but leaving us searching for new meaning once the initial goals are achieved. In Newlands, Cape Town, Oliver shares how he, too, felt adrift after reaching financial success. He spent years building his career, and when he finally achieved the freedom he had always wanted, he was surprised to find that the excitement was gone. The podcast helped Oliver see that the energy and passion that drove him in the past might not be what he needs now. Instead of trying to reclaim that old spark, he has started looking for new ways to find fulfillment, like mentoring young professionals—a role that has begun to reignite his sense of purpose. Priya from Juhu, Mumbai, echoes these sentiments. After reaching financial independence, she found herself in a place of confusion and emptiness. The work that once filled her with drive and ambition no longer held the same appeal. Hearing the quote about using up your spark made Priya realize that it's time to move on from her past motivations and seek out new creative pursuits. This shift in perspective has started to light a new fire within her, one that she hadn't anticipated but is now excited to explore. Mark from Mission Bay, Auckland, also shares his story of early retirement after selling his business. What he thought would be a time of peace and happiness instead became a period of searching for meaning. Mark found himself missing the daily challenges and the sense of purpose that came with running his business. The podcast's discussion about using up your old spark resonated with him deeply, making him realize that it's okay to leave the past behind and seek out new passions. He's now exploring volunteer work, something that has begun to bring back a sense of fulfillment he had been missing. These stories from Emma, Carlos, Aisha, Oliver, Priya, and Mark illustrate a powerful truth: the goals that once drove us can only take us so far. When we reach them, it's natural to feel a sense of loss, as if the fire that once burned so brightly has gone out. But this doesn't mean the journey is over. It simply means it's time to find a new spark—a different kind of passion that aligns with where we are in life now. This episode of *Join Up Dots* is not just about recognizing the challenges that come with success, but also about embracing the opportunity to reinvent ourselves and discover new sources of joy and purpose. It's a reminder that the journey never truly ends; it just changes direction. If these stories resonate with you, or if you've been struggling with similar feelings after reaching your own milestones, we encourage you to join the conversation. Share your thoughts and experiences using the hashtags #JoinUpDots #FindingNewPurpose #LifeAfterSuccess. We'd love to hear from you and continue this important discussion. Don't forget to subscribe to the podcast and leave a review. Your feedback helps us reach more people and continue bringing you valuable content. See you in the next episode!
Visual journalist Marika Khabazi asks people in Auckland's Mission Bay if they they think introducing a national nit index is a good idea.
One of the largest wildfires in California history continues to burn today. The Park Fire in Northern California is now over 350,000 acres with just 12% containment. Debate is raging over Proposition 32, which would raise the California minimum wage by two dollars. Caretakers of a Mission Bay bird sanctuary are speaking out after an act of vandalism nearly destroyed the habitat. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liutalks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.shapingsf.orghttps://chriscarlsson.com/when-shells-crumblewww.processedworld.comwww.sfcriticalmass.orgwww.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
In this episode of the Speaking Out of Place podcast Professor David Palumbo-Liu talks with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We specifically put this fictional text in conservation with his brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia(AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.www.palumbo-liu.comhttps://speakingoutofplace.comhttps://twitter.com/palumboliu?s=20www.instagram.com/speaking_out_of_place
Today we speak with acclaimed author and activist, and San Francisco legend, Chris Carlsson about his new novel, When Shells Crumble. It begins in December 2024, when the US Supreme Court nullifies the popular vote in the Presidential election and awards the presidency to an authoritarian Republican, who proceeds to demolish democracy and install a fascistic state that hastens ecological havoc. The novel is much more than your usual dystopian tale—it focuses on how to resist political cynicism and defeatism, and rebuild on planetary wreckage. It is a world-building project filled with wisdom, sadness, and joy. We put this fictional text in conservation with Chris' brilliant non-fiction work, Nowtopia, which offers a radical redefinition of “work” that restores dignity and value to their proper places.Chris Carlsson, co-director of the “history from below” project Shaping San Francisco, is a writer, publisher, editor, photographer, public speaker, and occasional professor. He was one of the founders in 1981 of the seminal and infamous underground San Francisco magazine Processed World. In 1992 Carlsson co-founded Critical Mass in San Francisco, which both led to a local bicycling boom and helped to incubate transformative urban movements in hundreds of cities, large and small, worldwide. In 1995 work began on “Shaping San Francisco;” since then the project has morphed into an incomparable archive of San Francisco history at Foundsf.org, award-winning bicycle and walking tours, and almost two decades of Public Talks covering history, politics, ecology, art, and more (see shapingsf.org). Beginning in Spring 2020, Carlsson has hosted Bay Cruises along the San Francisco shoreline.His latest novel, When Shells Crumble was published by Spuyten Duyvil in Brooklyn, NY at the end of 2023. At the dawn of the pandemic, he published a detailed historical guidebook of the city, Hidden San Francisco: A Guide to Lost Landscapes, Unsung Heroes, and Radical Histories (Pluto Press: 2020). His full-length nonfiction work Nowtopia (AK Press: 2008), offers a groundbreaking look at class and work while uniquely examining how hard and pleasantly we work when we're not at our official jobs. He published his first novel, After The Deluge, in 2004, a story of post-economic utopian San Francisco in the year 2157. He has edited six books, including three “Reclaiming San Francisco” collections with the venerable City Lights Books. He redesigned and co-authored an expanded Vanished Waters: A History of San Francisco's Mission Bay after which he joined the board of the Mission Creek Conservancy. He has given hundreds of public presentations based on Shaping San Francisco, Critical Mass, Nowtopia, Vanished Waters, and his “Reclaiming San Francisco” history anthologies since the late 1990s, and has appeared dozens of times in radio, television and on the internet.
Two classic pin-up calendar pages with a hand written message on them are what Sally started with for this story. In this episode, we discuss a bit of pin-up art history and then get into the writing on the pages. Five sailors on the U.S.S. Mission Bay signed this "last will" and we'll tell you what we found out about these men. As most WW II Veterans have passed away, and Memorial Day was just weeks ago, we felt this was a form of remembrance --with a bit of a twist.Music in this episode: Cattle Call - Eddy Arnold. From: Internet Archive.Send us a Text Message.Please go to: https://diarydiscoveries.com to see episode photos and read our blog. Thank You.
Several Memorial Day services will be held this weekend around San Diego County. As summer is quickly approaching, the City of San Diego is promoting water safety as the rates of drowning incidents are on the rise. Wildlife experts are keeping an eye out on a gray whale that's been spotted in Mission Bay. Here's NBC 7's Jackie Crea with the top stories of the day.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
San Diego City Council approved a plan to restore coastal wetlands in parts of Mission Bay. Then, California state legislators are pushing for sober housing options for unhoused Californians. Plus, it has been 10 years since a tragic mass shooting near Santa Barbara. A new investigation looks into what lessons have been learned.
Natural habitat restoration is prioritized for Mission Bay. In other news, supporters of Israel hold a week of events on the UC San Diego campus. Plus, more funding for local maternal care.
This week, we have 3 special guests from the CCA San Diego Chapter: David Chavez, Dave Roti and Louis Almeida. All three sit down to discuss their upcoming CCA Fundraiser, the 3rd Annual Apps & Taps Festival at Marina Village in Mission Bay. Join CCA at: wwwJoinCCA.org Visit us at: www.CCACalifornia.org Register for Apps & Taps here: https://ccacalifornia.org/product-category/apps/
The Consumer Price Index (CPI) data for March 2024 indicates that consumer prices rose by 3.5% compared to the previous year. What does that mean for you? Tune in LIVE with your questions!⸺0:00 Intro1:27 Consumer Prices Rise 3.5%4:00 State Farm Policy Changes8:21 Bay Area is 4th Hottest Housing Market11:26 OpenAI Moving to Mission Bay?
Meet Doug Nordman and Carol Pittner, a financially-savvy father-daughter duo who take us on their money journey as a family. From learning about money management through unique family practices like the “Bank of Carol,” to achieving financial independence, Doug and Carol share the milestones, strategies, and setbacks of their financial journeys. They discuss the importance of saving, investing, and making prudent life choices, all set against the backdrop of their unique military lifestyle. Moreover, they discuss the profound impact of teaching financial literacy from a young age. Whether you're a late starter to financial independence or seeking to pave a smoother path for the next generation, this episode is packed with wisdom, humor, and inspiring stories to guide you on your journey to FI.
Navy officials are still investigating a helicopter crash in Mission Bay this week. All 6 of the helicopter's passengers were uninjured. The city is stepping in to address a home that they say poses a health and safety risk to neighbors. San Diego Mayor Todd Gloria provided an update this week on some of his most ambitious initiatives. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
We are running an end of year survey for our listeners! Please let us know any feedback you have, what episodes resonated with you, and guest requests for 2024! Survey link here!Before language models became all the rage in November 2022, image generation was the hottest space in AI (it was the subject of our first piece on Latent Space!) In our interview with Sharif Shameem from Lexica we talked through the launch of StableDiffusion and the early days of that space. At the time, the toolkit was still pretty rudimentary: Lexica made it easy to search images, you had the AUTOMATIC1111 Web UI to generate locally, some HuggingFace spaces that offered inference, and eventually DALL-E 2 through OpenAI's platform, but not much beyond basic text-to-image workflows.Today's guest, Suhail Doshi, is trying to solve this with Playground AI, an image editor reimagined with AI in mind. Some of the differences compared to traditional text-to-image workflows:* Real-time preview rendering using consistency: as you change your prompt, you can see changes in real-time before doing a final rendering of it.* Style filtering: rather than having to prompt exactly how you'd like an image to look, you can pick from a whole range of filters both from Playground's model as well as Stable Diffusion (like RealVis, Starlight XL, etc). We talk about this at 25:46 in the podcast.* Expand prompt: similar to DALL-E3, Playground will do some prompt tuning for you to get better results in generation. Unlike DALL-E3, you can turn this off at any time if you are a prompting wizard* Image editing: after generation, you have tools like a magic eraser, inpainting pencil, etc. This makes it easier to do a full workflow in Playground rather than switching to another tool like Photoshop.Outside of the product, they have also trained a new model from scratch, Playground v2, which is fully open source and open weights and allows for commercial usage. They benchmarked the model against SDXL across 1,000 prompts and found that humans preferred the Playground generation 70% of the time. They had similar results on PartiPrompts:They also created a new benchmark, MJHQ-30K, for “aesthetic quality”:We introduce a new benchmark, MJHQ-30K, for automatic evaluation of a model's aesthetic quality. The benchmark computes FID on a high-quality dataset to gauge aesthetic quality.We curate the high-quality dataset from Midjourney with 10 common categories, each category with 3K samples. Following common practice, we use aesthetic score and CLIP score to ensure high image quality and high image-text alignment. Furthermore, we take extra care to make the data diverse within each category.Suhail was pretty open with saying that Midjourney is currently the best product for imagine generation out there, and that's why they used it as the base for this benchmark. I think it's worth comparing yourself to maybe the best thing and try to find like a really fair way of doing that. So I think more people should try to do that. I definitely don't think you should be kind of comparing yourself on like some Google model or some old SD, Stable Diffusion model and be like, look, we beat Stable Diffusion 1.5. I think users ultimately want care, how close are you getting to the thing that people mostly agree with? [00:23:47]We also talked a lot about Suhail's founder journey from starting Mixpanel in 2009, then going through YC again with Mighty, and eventually sunsetting that to pivot into Playground. Enjoy!Show Notes* Suhail's Twitter* “Starting my road to learn AI”* Bill Gates book trip* Playground* Playground v2 Announcement* $40M raise announcement* “Running infra dev ops for 24 A100s”* Mixpanel* Mighty* “I decided to stop working on Mighty”* Fast.ai* CivitTimestamps* [00:00:00] Intros* [00:02:59] Being early in ML at Mixpanel* [00:04:16] Pivoting from Mighty to Playground and focusing on generative AI* [00:07:54] How DALL-E 2 inspired Mighty* [00:09:19] Reimagining the graphics editor with AI* [00:17:34] Training the Playground V2 model from scratch to advance generative graphics* [00:21:11] Techniques used to improve Playground V2 like data filtering and model tuning* [00:25:21] Releasing the MJHQ30K benchmark to evaluate generative models* [00:30:35] The limitations of current models for detailed image editing tasks* [00:34:06] Using post-generation user feedback to create better benchmarks* [00:38:28] Concerns over potential misuse of powerful generative models* [00:41:54] Rethinking the graphics editor user experience in the AI era* [00:45:44] Integrating consistency models into Playground using preview rendering* [00:47:23] Interacting with the Stable Diffusion LoRAs community* [00:51:35] Running DevOps on A100s* [00:53:12] Startup ideas?TranscriptAlessio: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO-in-Residence at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI. [00:00:15]Swyx: Hey, and today in the studio we have Suhail Doshi, welcome. [00:00:18]Suhail: Yeah, thanks. Thanks for having me. [00:00:20]Swyx: So among many things, you're a CEO and co-founder of Mixpanel, and I think about three years ago you left to start Mighty, and more recently, I think about a year ago, transitioned into Playground, and you've just announced your new round. How do you like to be introduced beyond that? [00:00:34]Suhail: Just founder of Playground is fine, yeah, prior co-founder and CEO of Mixpanel. [00:00:40]Swyx: Yeah, awesome. I'd just like to touch on Mixpanel a little bit, because it's obviously one of the more successful analytics companies we previously had amplitude on, and I'm curious if you had any reflections on the interaction of that amount of data that people would want to use for AI. I don't know if there's still a part of you that stays in touch with that world. [00:00:59]Suhail: Yeah, I mean, the short version is that maybe back in like 2015 or 2016, I don't really remember exactly, because it was a while ago, we had an ML team at Mixpanel, and I think this is when maybe deep learning or something really just started getting kind of exciting, and we were thinking that maybe given that we had such vast amounts of data, perhaps we could predict things. So we built two or three different features, I think we built a feature where we could predict whether users would churn from your product. We made a feature that could predict whether users would convert, we built a feature that could do anomaly detection, like if something occurred in your product, that was just very surprising, maybe a spike in traffic in a particular region, can we tell you that that happened? Because it's really hard to like know everything that's going on with your data, can we tell you something surprising about your data? And we tried all of these various features, most of it boiled down to just like, you know, using logistic regression, and it never quite seemed very groundbreaking in the end. And so I think, you know, we had a four or five person ML team, and I think we never expanded it from there. And I did all these Fast AI courses trying to learn about ML. And that was the- That's the first time you did fast AI. Yeah, that was the first time I did fast AI. Yeah, I think I've done it now three times, maybe. [00:02:12]Swyx: Oh, okay. [00:02:13]Suhail: I didn't know it was the third. No, no, just me reviewing it, it's maybe three times, but yeah. [00:02:16]Swyx: You mentioned prediction, but honestly, like it's also just about the feedback, right? The quality of feedback from users, I think it's useful for anyone building AI applications. [00:02:25]Suhail: Yeah. Yeah, I think I haven't spent a lot of time thinking about Mixpanel because it's been a long time, but sometimes I'm like, oh, I wonder what we could do now. And then I kind of like move on to whatever I'm working on, but things have changed significantly since. [00:02:39]Swyx: And then maybe we'll touch on Mighty a little bit. Mighty was very, very bold. My framing of it was, you will run our browsers for us because everyone has too many tabs open. I have too many tabs open and slowing down your machines that you can do it better for us in a centralized data center. [00:02:51]Suhail: Yeah, we were first trying to make a browser that we would stream from a data center to your computer at extremely low latency, but the real objective wasn't trying to make a browser or anything like that. The real objective was to try to make a new kind of computer. And the thought was just that like, you know, we have these computers in front of us today and we upgrade them or they run out of RAM or they don't have enough RAM or not enough disk or, you know, there's some limitation with our computers, perhaps like data locality is a problem. Why do I need to think about upgrading my computer ever? And so, you know, we just had to kind of observe that like, well, actually it seems like a lot of applications are just now in the browser, you know, it's like how many real desktop applications do we use relative to the number of applications we use in the browser? So it's just this realization that actually like, you know, the browser was effectively becoming more or less our operating system over time. And so then that's why we kind of decided to go, hmm, maybe we can stream the browser. Fortunately, the idea did not work for a couple of different reasons, but the objective is try to make sure new computer. [00:03:50]Swyx: Yeah, very, very bold. [00:03:51]Alessio: Yeah, and I was there at YC Demo Day when you first announced it. It was, I think, the last or one of the last in-person ones, at Pier34 in Mission Bay. How do you think about that now when everybody wants to put some of these models in people's machines and some of them want to stream them in, do you think there's maybe another wave of the same problem before it was like browser apps too slow, now it's like models too slow to run on device? [00:04:16]Suhail: Yeah. I mean, I've obviously pivoted away from Mighty, but a lot of what I somewhat believed at Mighty, maybe why I'm so excited about AI and what's happening, a lot of what Mighty was about was like moving compute somewhere else, right? Right now, applications, they get limited quantities of memory, disk, networking, whatever your home network has, et cetera. You know, what if these applications could somehow, if we could shift compute, and then these applications have vastly more compute than they do today. Right now it's just like client backend services, but you know, what if we could change the shape of how applications could interact with things? And it's changed my thinking. In some ways, AI has like a bit of a continuation of my belief that like perhaps we can really shift compute somewhere else. One of the problems with Mighty was that JavaScript is single-threaded in the browser. And what we learned, you know, the reason why we kind of abandoned Mighty was because I didn't believe we could make a new kind of computer. We could have made some kind of enterprise business, probably it could have made maybe a lot of money, but it wasn't going to be what I hoped it was going to be. And so once I realized that most of a web app is just going to be single-threaded JavaScript, then the only thing you could do largely withstanding changing JavaScript, which is a fool's errand most likely, make a better CPU, right? And there's like three CPU manufacturers, two of which sell, you know, big ones, you know, AMD, Intel, and then of course like Apple made the M1. And it's not like single-threaded CPU core performance, single-core performance was increasing very fast, it's plateauing rapidly. And even these different companies were not doing as good of a job, you know, sort of with the continuation of Moore's law. But what happened in AI was that you got like, if you think of the AI model as like a computer program, like just like a compiled computer program, it is literally built and designed to do massive parallel computations. And so if you could take like the universal approximation theorem to its like kind of logical complete point, you know, you're like, wow, I can get, make computation happen really rapidly and parallel somewhere else, you know, so you end up with these like really amazing models that can like do anything. It just turned out like perhaps the new kind of computer would just simply be shifted, you know, into these like really amazing AI models in reality. Yeah. [00:06:30]Swyx: Like I think Andrej Karpathy has always been, has been making a lot of analogies with the LLMOS. [00:06:34]Suhail: I saw his video and I watched that, you know, maybe two weeks ago or something like that. I was like, oh man, this, I very much resonate with this like idea. [00:06:41]Swyx: Why didn't I see this three years ago? [00:06:43]Suhail: Yeah. I think, I think there still will be, you know, local models and then there'll be these very large models that have to be run in data centers. I think it just depends on kind of like the right tool for the job, like any engineer would probably care about. But I think that, you know, by and large, like if the models continue to kind of keep getting bigger, you're always going to be wondering whether you should use the big thing or the small, you know, the tiny little model. And it might just depend on like, you know, do you need 30 FPS or 60 FPS? Maybe that would be hard to do, you know, over a network. [00:07:13]Swyx: You tackled a much harder problem latency wise than the AI models actually require. Yeah. [00:07:18]Suhail: Yeah. You can do quite well. You can do quite well. You definitely did 30 FPS video streaming, did very crazy things to make that work. So I'm actually quite bullish on the kinds of things you can do with networking. [00:07:30]Swyx: Maybe someday you'll come back to that at some point. But so for those that don't know, you're very transparent on Twitter. Very good to follow you just to learn your insights. And you actually published a postmortem on Mighty that people can read up on and willing to. So there was a bit of an overlap. You started exploring the AI stuff in June 2022, which is when you started saying like, I'm taking fast AI again. Maybe, was there more context around that? [00:07:54]Suhail: Yeah. I think I was kind of like waiting for the team at Mighty to finish up, you know, something. And I was like, okay, well, what can I do? I guess I will make some kind of like address bar predictor in the browser. So we had, you know, we had forked Chrome and Chromium. And I was like, you know, one thing that's kind of lame is that like this browser should be like a lot better at predicting what I might do, where I might want to go. It struck me as really odd that, you know, Chrome had very little AI actually or ML inside this browser. For a company like Google, you'd think there's a lot. Code is actually just very, you know, it's just a bunch of if then statements is more or less the address bar. So it seemed like a pretty big opportunity. And that's also where a lot of people interact with the browser. So, you know, long story short, I was like, hmm, I wonder what I could build here. So I started to take some AI courses and review the material again and get back to figuring it out. But I think that was somewhat serendipitous because right around April was, I think, a very big watershed moment in AI because that's when Dolly 2 came out. And I think that was the first truly big viral moment for generative AI. [00:08:59]Swyx: Because of the avocado chair. [00:09:01]Suhail: Yeah, exactly. [00:09:02]Swyx: It wasn't as big for me as Stable Diffusion. [00:09:04]Suhail: Really? [00:09:05]Swyx: Yeah, I don't know. Dolly was like, all right, that's cool. [00:09:07]Suhail: I don't know. Yeah. [00:09:09]Swyx: I mean, they had some flashy videos, but it didn't really register. [00:09:13]Suhail: That moment of images was just such a viral novel moment. I think it just blew people's mind. Yeah. [00:09:19]Swyx: I mean, it's the first time I encountered Sam Altman because they had this Dolly 2 hackathon and they opened up the OpenAI office for developers to walk in back when it wasn't as much of a security issue as it is today. I see. Maybe take us through the journey to decide to pivot into this and also choosing images. Obviously, you were inspired by Dolly, but there could be any number of AI companies and businesses that you could start and why this one, right? [00:09:45]Suhail: Yeah. So I think at that time, Mighty and OpenAI was not quite as popular as it is all of a sudden now these days, but back then they had a lot more bandwidth to kind of help anybody. And so we had been talking with the team there around trying to see if we could do really fast low latency address bar prediction with GPT-3 and 3.5 and that kind of thing. And so we were sort of figuring out how could we make that low latency. I think that just being able to talk to them and kind of being involved gave me a bird's eye view into a bunch of things that started to happen. Latency first was the Dolly 2 moment, but then stable diffusion came out and that was a big moment for me as well. And I remember just kind of like sitting up one night thinking, I was like, you know, what are the kinds of companies one could build? Like what matters right now? One thing that I observed is that I find a lot of inspiration when I'm working in a field in something and then I can identify a bunch of problems. Like for Mixpanel, I was an intern at a company and I just noticed that they were doing all this data analysis. And so I thought, hmm, I wonder if I could make a product and then maybe they would use it. And in this case, you know, the same thing kind of occurred. It was like, okay, there are a bunch of like infrastructure companies that put a model up and then you can use their API, like Replicate is a really good example of that. There are a bunch of companies that are like helping you with training, model optimization, Mosaic at the time, and probably still, you know, was doing stuff like that. So I just started listing out like every category of everything, of every company that was doing something interesting. I started listing out like weights and biases. I was like, oh man, weights and biases is like this great company. Do I want to compete with that company? I might be really good at competing with that company because of Mixpanel because it's so much of like analysis. But I was like, no, I don't want to do anything related to that. That would, I think that would be too boring now at this point. So I started to list out all these ideas and one thing I observed was that at OpenAI, they had like a playground for GPT-3, right? All it was is just like a text box more or less. And then there were some settings on the right, like temperature and whatever. [00:11:41]Swyx: Top K. [00:11:42]Suhail: Yeah, top K. You know, what's your end stop sequence? I mean, that was like their product before GPT, you know, really difficult to use, but fun if you're like an engineer. And I just noticed that their product kind of was evolving a little bit where the interface kind of was getting a little bit more complex. They had like a way where you could like generate something in the middle of a sentence and all those kinds of things. And I just thought to myself, I was like, everything is just like this text box and you generate something and that's about it. And stable diffusion had kind of come out and it was all like hugging face and code. Nobody was really building any UI. And so I had this kind of thing where I wrote prompt dash like question mark in my notes and I didn't know what was like the product for that at the time. I mean, it seems kind of trite now, but I just like wrote prompt. What's the thing for that? Manager. Prompt manager. Do you organize them? Like, do you like have a UI that can play with them? Yeah. Like a library. What would you make? And so then, of course, then you thought about what would the modalities be given that? How would you build a UI for each kind of modality? And so there are a couple of people working on some pretty cool things. And I basically chose graphics because it seemed like the most obvious place where you could build a really powerful, complex UI. That's not just only typing a box. It would very much evolve beyond that. Like what would be the best thing for something that's visual? Probably something visual. Yeah. I think that just that progression kind of happened and it just seemed like there was a lot of effort going into language, but not a lot of effort going into graphics. And then maybe the very last thing was, I think I was talking to Aditya Ramesh, who was the co-creator of DALL-E 2 and Sam. And I just kind of went to these guys and I was just like, hey, are you going to make like a UI for this thing? Like a true UI? Are you going to go for this? Are you going to make a product? For DALL-E. Yeah. For DALL-E. Yeah. Are you going to do anything here? Because if you are going to do it, just let me know and I will stop and I'll go do something else. But if you're not going to do anything, I'll just do it. And so we had a couple of conversations around what that would look like. And then I think ultimately they decided that they were going to focus on language primarily. And I just felt like it was going to be very underinvested in. Yes. [00:13:46]Swyx: There's that sort of underinvestment from OpenAI, but also it's a different type of customer than you're used to, presumably, you know, and Mixpanel is very good at selling to B2B and developers will figure on you or not. Yeah. Was that not a concern? [00:14:00]Suhail: Well, not so much because I think that, you know, right now I would say graphics is in this very nascent phase. Like most of the customers are just like hobbyists, right? Yeah. Like it's a little bit of like a novel toy as opposed to being this like very high utility thing. But I think ultimately, if you believe that you could make it very high utility, the probably the next customers will end up being B2B. It'll probably not be like a consumer. There will certainly be a variation of this idea that's in consumer. But if your quest is to kind of make like something that surpasses human ability for graphics, like ultimately it will end up being used for business. So I think it's maybe more of a progression. In fact, for me, it's maybe more like Mixpanel started out as SMB and then very much like ended up starting to grow up towards enterprise. So for me, I think it will be a very similar progression. But yeah, I mean, the reason why I was excited about it is because it was a creative tool. I make music and it's AI. It's like something that I know I could stay up till three o'clock in the morning doing. Those are kind of like very simple bars for me. [00:14:56]Alessio: So you mentioned Dolly, Stable Diffusion. You just had Playground V2 come out two days ago. Yeah, two days ago. [00:15:02]Suhail: Two days ago. [00:15:03]Alessio: This is a model you train completely from scratch. So it's not a cheap fine tune on something. You open source everything, including the weights. Why did you decide to do it? I know you supported Stable Diffusion XL in Playground before, right? Yep. What made you want to come up with V2 and maybe some of the interesting, you know, technical research work you've done? [00:15:24]Suhail: Yeah. So I think that we continue to feel like graphics and these foundation models for anything really related to pixels, but also definitely images continues to be very underinvested. It feels a little like graphics is in like this GPT-2 moment, right? Like even GPT-3, even when GPT-3 came out, it was exciting, but it was like, what are you going to use this for? Yeah, we'll do some text classification and some semantic analysis and maybe it'll sometimes like make a summary of something and it'll hallucinate. But no one really had like a very significant like business application for GPT-3. And in images, we're kind of stuck in the same place. We're kind of like, okay, I write this thing in a box and I get some cool piece of artwork and the hands are kind of messed up and sometimes the eyes are a little weird. Maybe I'll use it for a blog post, you know, that kind of thing. The utility feels so limited. And so, you know, and then we, you sort of look at Stable Diffusion and we definitely use that model in our product and our users like it and use it and love it and enjoy it, but it hasn't gone nearly far enough. So we were kind of faced with the choice of, you know, do we wait for progress to occur or do we make that progress happen? So yeah, we kind of embarked on a plan to just decide to go train these things from scratch. And I think the community has given us so much. The community for Stable Diffusion I think is one of the most vibrant communities on the internet. It's like amazing. It feels like, I hope this is what like Homebrew Club felt like when computers like showed up because it's like amazing what that community will do and it moves so fast. I've never seen anything in my life and heard other people's stories around this where an academic research paper comes out and then like two days later, someone has sample code for it. And then two days later, there's a model. And then two days later, it's like in nine products, you know, they're all competing with each other. It's incredible to see like math symbols on an academic paper go to well-designed features in a product. So I think the community has done so much. So I think we wanted to give back to the community kind of on our way. Certainly we would train a better model than what we gave out on Tuesday, but we definitely felt like there needs to be some kind of progress in these open source models. The last kind of milestone was in July when Stable Diffusion Excel came out, but there hasn't been anything really since. Right. [00:17:34]Swyx: And there's Excel Turbo now. [00:17:35]Suhail: Well, Excel Turbo is like this distilled model, right? So it's like lower quality, but fast. You have to decide, you know, what your trade off is there. [00:17:42]Swyx: It's also a consistency model. [00:17:43]Suhail: I don't think it's a consistency model. It's like it's they did like a different thing. Yeah. I think it's like, I don't want to get quoted for this, but it's like something called ad like adversarial or something. [00:17:52]Swyx: That's exactly right. [00:17:53]Suhail: I've read something about that. Maybe it's like closer to GANs or something, but I didn't really read the full paper. But yeah, there hasn't been quite enough progress in terms of, you know, there's no multitask image model. You know, the closest thing would be something called like EmuEdit, but there's no model for that. It's just a paper that's within meta. So we did that and we also gave out pre-trained weights, which is very rare. Usually you just get the aligned model and then you have to like see if you can do anything with it. So we actually gave out, there's like a 256 pixel pre-trained stage and a 512. And we did that for academic research because we come across people all the time in academia, they have access to like one A100 or eight at best. And so if we can give them kind of like a 512 pre-trained model, our hope is that there'll be interesting novel research that occurs from that. [00:18:38]Swyx: What research do you want to happen? [00:18:39]Suhail: I would love to see more research around things that users care about tend to be things like character consistency. [00:18:45]Swyx: Between frames? [00:18:46]Suhail: More like if you have like a face. Yeah, yeah. Basically between frames, but more just like, you know, you have your face and it's in one image and then you want it to be like in another. And users are very particular and sensitive to faces changing because we know we're trained on faces as humans. Not seeing a lot of innovation, enough innovation around multitask editing. You know, there are two things like instruct pics to pics and then the EmuEdit paper that are maybe very interesting, but we certainly are not pushing the fold on that in that regard. All kinds of things like around that rotation, you know, being able to keep coherence across images, style transfer is still very limited. Just even reasoning around images, you know, what's going on in an image, that kind of thing. Things are still very, very underpowered, very nascent. So therefore the utility is very, very limited. [00:19:32]Alessio: On the 1K Prompt Benchmark, you are 2.5x prefer to Stable Diffusion XL. How do you get there? Is it better images in the training corpus? Can you maybe talk through the improvements in the model? [00:19:44]Suhail: I think they're still very early on in the recipe, but I think it's a lot of like little things and you know, every now and then there are some big important things like certainly your data quality is really, really important. So we spend a lot of time thinking about that. But I would say it's a lot of things that you kind of clean up along the way as you train your model. Everything from captions to the data that you align with after pre-train to how you're picking your data sets, how you filter your data sets. I feel like there's a lot of work in AI that doesn't really feel like AI. It just really feels like just data set filtering and systems engineering and just like, you know, and the recipe is all there, but it's like a lot of extra work to do that. I think we plan to do a Playground V 2.1, maybe either by the end of the year or early next year. And we're just like watching what the community does with the model. And then we're just going to take a lot of the things that they're unhappy about and just like fix them. You know, so for example, like maybe the eyes of people in an image don't feel right. They feel like they're a little misshapen or they're kind of blurry feeling. That's something that we already know we want to fix. So I think in that case, it's going to be about data quality. Or maybe you want to improve the kind of the dynamic range of color. You know, we want to make sure that that's like got a good range in any image. So what technique can we use there? There's different things like offset noise, pyramid noise, terminal zero, SNR, like there are all these various interesting things that you can do. So I think it's like a lot of just like tricks. Some are tricks, some are data, and some is just like cleaning. [00:21:11]Swyx: Specifically for faces, it's very common to use a pipeline rather than just train the base model more. Do you have a strong belief either way on like, oh, they should be separated out to different stages for like improving the eyes, improving the face or enhance or whatever? Or do you think like it can all be done in one model? [00:21:28]Suhail: I think we will make a unified model. Yeah, I think it will. I think we'll certainly in the end, ultimately make a unified model. There's not enough research about this. Maybe there is something out there that we haven't read. There are some bottlenecks, like for example, in the VAE, like the VAEs are ultimately like compressing these things. And so you don't know. And then you might have like a big informational information bottleneck. So maybe you would use a pixel based model, perhaps. I think we've talked to people, everyone from like Rombach to various people, Rombach trained stable diffusion. I think there's like a big question around the architecture of these things. It's still kind of unknown, right? Like we've got transformers and we've got like a GPT architecture model, but then there's this like weird thing that's also seemingly working with diffusion. And so, you know, are we going to use vision transformers? Are we going to move to pixel based models? Is there a different kind of architecture? We don't really, I don't think there have been enough experiments. Still? Oh my God. [00:22:21]Swyx: Yeah. [00:22:22]Suhail: That's surprising. I think it's very computationally expensive to do a pipeline model where you're like fixing the eyes and you're fixing the mouth and you're fixing the hands. [00:22:29]Swyx: That's what everyone does as far as I understand. [00:22:31]Suhail: I'm not exactly sure what you mean, but if you mean like you get an image and then you will like make another model specifically to fix a face, that's fairly computationally expensive. And I think it's like not probably not the right way. Yeah. And it doesn't generalize very well. Now you have to pick all these different things. [00:22:45]Swyx: Yeah. You're just kind of glomming things on together. Yeah. Like when I look at AI artists, like that's what they do. [00:22:50]Suhail: Ah, yeah, yeah, yeah. They'll do things like, you know, I think a lot of ARs will do control net tiling to do kind of generative upscaling of all these different pieces of the image. Yeah. And I think these are all just like, they're all hacks ultimately in the end. I mean, it just to me, it's like, let's go back to where we were just three years, four years ago with where deep learning was at and where language was that, you know, it's the same thing. It's like we were like, okay, well, I'll just train these very narrow models to try to do these things and kind of ensemble them or pipeline them to try to get to a best in class result. And here we are with like where the models are gigantic and like very capable of solving huge amounts of tasks when given like lots of great data. [00:23:28]Alessio: You also released a new benchmark called MJHQ30K for automatic evaluation of a model's aesthetic quality. I have one question. The data set that you use for the benchmark is from Midjourney. Yes. You have 10 categories. How do you think about the Playground model, Midjourney, like, are you competitors? [00:23:47]Suhail: There are a lot of people, a lot of people in research, they like to compare themselves to something they know they can beat, right? Maybe this is the best reason why it can be helpful to not be a researcher also sometimes like I'm not trained as a researcher, I don't have a PhD in anything AI related, for example. But I think if you care about products and you care about your users, then the most important thing that you want to figure out is like everyone has to acknowledge that Midjourney is very good. They are the best at this thing. I'm happy to admit that. I have no problem admitting that. Just easy. It's very visual to tell. So I think it's incumbent on us to try to compare ourselves to the thing that's best, even if we lose, even if we're not the best. At some point, if we are able to surpass Midjourney, then we only have ourselves to compare ourselves to. But on First Blush, I think it's worth comparing yourself to maybe the best thing and try to find like a really fair way of doing that. So I think more people should try to do that. I definitely don't think you should be kind of comparing yourself on like some Google model or some old SD, Stable Diffusion model and be like, look, we beat Stable Diffusion 1.5. I think users ultimately want care, how close are you getting to the thing that people mostly agree with? So we put out that benchmark for no other reason to say like, this seems like a worthy thing for us to at least try, for people to try to get to. And then if we surpass it, great, we'll come up with another one. [00:25:06]Alessio: Yeah, no, that's awesome. And you killed Stable Diffusion Excel and everything. In the benchmark chart, it says Playground V2 1024 pixel dash aesthetic. Do you have kind of like, yeah, style fine tunes or like what's the dash aesthetic for? [00:25:21]Suhail: We debated this, maybe we named it wrong or something, but we were like, how do we help people realize the model that's aligned versus the models that weren't? Because we gave out pre-trained models, we didn't want people to like use those. So that's why they're called base. And then the aesthetic model, yeah, we wanted people to pick up the thing that makes things pretty. Who wouldn't want the thing that's aesthetic? But if there's a better name, we're definitely open to feedback. No, no, that's cool. [00:25:46]Alessio: I was using the product. You also have the style filter and you have all these different styles. And it seems like the styles are tied to the model. So there's some like SDXL styles, there's some Playground V2 styles. Can you maybe give listeners an overview of how that works? Because in language, there's not this idea of like style, right? Versus like in vision model, there is, and you cannot get certain styles in different [00:26:11]Suhail: models. [00:26:12]Alessio: So how do styles emerge and how do you categorize them and find them? [00:26:15]Suhail: Yeah, I mean, it's so fun having a community where people are just trying a model. Like it's only been two days for Playground V2. And we actually don't know what the model's capable of and not capable of. You know, we certainly see problems with it. But we have yet to see what emergent behavior is. I mean, we've just sort of discovered that it takes about like a week before you start to see like new things. I think like a lot of that style kind of emerges after that week, where you start to see, you know, there's some styles that are very like well known to us, like maybe like pixel art is a well known style. Photorealism is like another one that's like well known to us. But there are some styles that cannot be easily named. You know, it's not as simple as like, okay, that's an anime style. It's very visual. And in the end, you end up making up the name for what that style represents. And so the community kind of shapes itself around these different things. And so if anyone that's into stable diffusion and into building anything with graphics and stuff with these models, you know, you might have heard of like Proto Vision or Dream Shaper, some of these weird names, but they're just invented by these authors. But they have a sort of je ne sais quoi that, you know, appeals to users. [00:27:26]Swyx: Because it like roughly embeds to what you what you want. [00:27:29]Suhail: I guess so. I mean, it's like, you know, there's one of my favorite ones that's fine tuned. It's not made by us. It's called like Starlight XL. It's just this beautiful model. It's got really great color contrast and visual elements. And the users love it. I love it. And it's so hard. I think that's like a very big open question with graphics that I'm not totally sure how we'll solve. I don't know. It's, it's like an evolving situation too, because styles get boring, right? They get fatigued. Like it's like listening to the same style of pop song. I try to relate to graphics a little bit like with music, because I think it gives you a little bit of a different shape to things. Like it's not as if we just have pop music, rap music and country music, like all of these, like the EDM genre alone has like sub genres. And I think that's very true in graphics and painting and art and anything that we're doing. There's just these sub genres, even if we can't quite always name them. But I think they are emergent from the community, which is why we're so always happy to work with the community. [00:28:26]Swyx: That is a struggle. You know, coming back to this, like B2B versus B2C thing, B2C, you're going to have a huge amount of diversity and then it's going to reduce as you get towards more sort of B2B type use cases. I'm making this up here. So like you might be optimizing for a thing that you may eventually not need. [00:28:42]Suhail: Yeah, possibly. Yeah, possibly. I think like a simple thing with startups is that I worry sometimes by trying to be overly ambitious and like really scrutinizing like what something is in its most nascent phase that you miss the most ambitious thing you could have done. Like just having like very basic curiosity with something very small can like kind of lead you to something amazing. Like Einstein definitely did that. And then he like, you know, he basically won all the prizes and got everything he wanted and then basically did like kind of didn't really. He can dismiss quantum and then just kind of was still searching, you know, for the unifying theory. And he like had this quest. I think that happens a lot with like Nobel Prize people. I think there's like a term for it that I forget. I actually wanted to go after a toy almost intentionally so long as that I could see, I could imagine that it would lead to something very, very large later. Like I said, it's very hobbyist, but you need to start somewhere. You need to start with something that has a big gravitational pull, even if these hobbyists aren't likely to be the people that, you know, have a way to monetize it or whatever, even if they're, but they're doing it for fun. So there's something, something there that I think is really important. But I agree with you that, you know, in time we will absolutely focus on more utilitarian things like things that are more related to editing feats that are much harder. And so I think like a very simple use case is just, you know, I'm not a graphics designer. It seems like very simple that like you, if we could give you the ability to do really complex graphics without skill, wouldn't you want that? You know, like my wife the other day was set, you know, said, I wish Playground was better. When are you guys going to have a feature where like we could make my son, his name's Devin, smile when he was not smiling in the picture for the holiday card. Right. You know, just being able to highlight his, his mouth and just say like, make him smile. Like why can't we do that with like high fidelity and coherence, little things like that, all the way to putting you in completely different scenarios. [00:30:35]Swyx: Is that true? Can we not do that in painting? [00:30:37]Suhail: You can do in painting, but the quality is just so bad. Yeah. It's just really terrible quality. You know, it's like you'll do it five times and it'll still like kind of look like crooked or just artifact. Part of it's like, you know, the lips on the face, there's such little information there. So small that the models really struggle with it. Yeah. [00:30:55]Swyx: Make the picture smaller and you don't see it. That's my trick. I don't know. [00:30:59]Suhail: Yeah. Yeah. That's true. Or, you know, you could take that region and make it really big and then like say it's a mouth and then like shrink it. It feels like you're wrestling with it more than it's doing something that kind of surprises you. [00:31:12]Swyx: Yeah. It feels like you are very much the internal tastemaker, like you carry in your head this vision for what a good art model should look like. Do you find it hard to like communicate it to like your team and other people? Just because it's obviously it's hard to put into words like we just said. [00:31:26]Suhail: Yeah. It's very hard to explain. Images have such high bitrate compared to just words and we don't have enough words to describe these things. It's not terribly difficult. I think everyone on the team, if they don't have good kind of like judgment taste or like an eye for some of these things, they're like steadily building it because they have no choice. Right. So in that realm, I don't worry too much, actually. Like everyone is kind of like learning to get the eye is what I would call it. But I also have, you know, my own narrow taste. Like I don't represent the whole population either. [00:31:59]Swyx: When you benchmark models, you know, like this benchmark we're talking about, we use FID. Yeah. Input distance. OK. That's one measure. But like it doesn't capture anything you just said about smiles. [00:32:08]Suhail: Yeah. FID is generally a bad metric. It's good up to a point and then it kind of like is irrelevant. Yeah. [00:32:14]Swyx: And then so are there any other metrics that you like apart from vibes? I'm always looking for alternatives to vibes because vibes don't scale, you know. [00:32:22]Suhail: You know, it might be fun to kind of talk about this because it's actually kind of fresh. So up till now, we haven't needed to do a ton of like benchmarking because we hadn't trained our own model and now we have. So now what? What does that mean? How do we evaluate it? And, you know, we're kind of like living with the last 48, 72 hours of going, did the way that we benchmark actually succeed? [00:32:43]Swyx: Did it deliver? [00:32:44]Suhail: Right. You know, like I think Gemini just came out. They just put out a bunch of benchmarks. But all these benchmarks are just an approximation of how you think it's going to end up with real world performance. And I think that's like very fascinating to me. So if you fake that benchmark, you'll still end up in a really bad scenario at the end of the day. And so, you know, one of the benchmarks we did was we kind of curated like a thousand prompts. And I think that's kind of what we published in our blog post, you know, of all these tasks that we a lot of some of them are curated by our team where we know the models all suck at it. Like my favorite prompt that no model is really capable of is a horse riding an astronaut, the inverse one. And it's really, really hard to do. [00:33:22]Swyx: Not in data. [00:33:23]Suhail: You know, another one is like a giraffe underneath a microwave. How does that work? Right. There's so many of these little funny ones. We do. We have prompts that are just like misspellings of things. Yeah. We'll figure out if the models will figure it out. [00:33:36]Swyx: They should embed to the same space. [00:33:39]Suhail: Yeah. And just like all these very interesting weirdo things. And so we have so many of these and then we kind of like evaluate whether the models are any good at it. And the reality is that they're all bad at it. And so then you're just picking the most aesthetic image. We're still at the beginning of building like the best benchmark we can that aligns most with just user happiness, I think, because we're not we're not like putting these in papers and trying to like win, you know, I don't know, awards at ICCV or something if they have awards. You could. [00:34:05]Swyx: That's absolutely a valid strategy. [00:34:06]Suhail: Yeah, you could. But I don't think it could correlate necessarily with the impact we want to have on humanity. I think we're still evolving whatever our benchmarks are. So the first benchmark was just like very difficult tasks that we know the models are bad at. Can we come up with a thousand of these, whether they're hand rated and some of them are generated? And then can we ask the users, like, how do we do? And then we wanted to use a benchmark like party prompts. We mostly did that so people in academia could measure their models against ours versus others. But yeah, I mean, fit is pretty bad. And I think in terms of vibes, it's like you put out the model and then you try to see like what users make. And I think my sense is that we're going to take all the things that we notice that the users kind of were failing at and try to find like new ways to measure that, whether that's like a smile or, you know, color contrast or lighting. One benefit of Playground is that we have users making millions of images every single day. And so we can just ask them for like a post generation feedback. Yeah, we can just ask them. We can just say, like, how good was the lighting here? How was the subject? How was the background? [00:35:06]Swyx: Like a proper form of like, it's just like you make it, you come to our site, you make [00:35:10]Suhail: an image and then we say, and then maybe randomly you just say, hey, you know, like, how was the color and contrast of this image? And you say it was not very good, just tell us. So I think I think we can get like tens of thousands of these evaluations every single day to truly measure real world performance as opposed to just like benchmark performance. I would like to publish hopefully next year. I think we will try to publish a benchmark that anyone could use, that we evaluate ourselves on and that other people can, that we think does a good job of approximating real world performance because we've tried it and done it and noticed that it did. Yeah. I think we will do that. [00:35:45]Swyx: I personally have a few like categories that I consider special. You know, you know, you have like animals, art, fashion, food. There are some categories which I consider like a different tier of image. Top among them is text in images. How do you think about that? So one of the big wow moments for me, something I've been looking out for the entire year is just the progress of text and images. Like, can you write in an image? Yeah. And Ideogram came out recently, which had decent but not perfect text and images. Dolly3 had improved some and all they said in their paper was that they just included more text in the data set and it just worked. I was like, that's just lazy. But anyway, do you care about that? Because I don't see any of that in like your sample. Yeah, yeah. [00:36:27]Suhail: The V2 model was mostly focused on image quality versus like the feature of text synthesis. [00:36:33]Swyx: Well, as a business user, I care a lot about that. [00:36:35]Suhail: Yeah. Yeah. I'm very excited about text synthesis. And yeah, I think Ideogram has done a good job of maybe the best job. Dolly has like a hit rate. Yes. You know, like sometimes it's Egyptian letters. Yeah. I'm very excited about text synthesis. You know, I don't have much to say on it just yet. You know, you don't want just text effects. I think where this has to go is it has to be like you could like write little tiny pieces of text like on like a milk carton. That's maybe not even the focal point of a scene. I think that's like a very hard task that, you know, if you could do something like that, then there's a lot of other possibilities. Well, you don't have to zero shot it. [00:37:09]Swyx: You can just be like here and focus on this. [00:37:12]Suhail: Sure. Yeah, yeah. Definitely. Yeah. [00:37:16]Swyx: Yeah. So I think text synthesis would be very exciting. I'll also flag that Max Wolf, MiniMaxxier, which you must have come across his work. He's done a lot of stuff about using like logo masks that then map onto food and vegetables. And it looks like text, which can be pretty fun. [00:37:29]Suhail: That's the wonderful thing about like the open source community is that you get things like control net and then you see all these people do these just amazing things with control net. And then you wonder, I think from our point of view, we sort of go that that's really wonderful. But how do we end up with like a unified model that can do that? What are the bottlenecks? What are the issues? The community ultimately has very limited resources. And so they need these kinds of like workaround research ideas to get there. But yeah. [00:37:55]Swyx: Are techniques like control net portable to your architecture? [00:37:58]Suhail: Definitely. Yeah. We kept the Playground V2 exactly the same as SDXL. Not because not out of laziness, but just because we knew that the community already had tools. You know, all you have to do is maybe change a string in your code and then, you know, retrain a control net for it. So it was very intentional to do that. We didn't want to fragment the community with different architectures. Yeah. [00:38:16]Swyx: So basically, I'm going to go over three more categories. One is UIs, like app UIs, like mock UIs. Third is not safe for work, and then copyrighted stuff. I don't know if you care to comment on any of those. [00:38:28]Suhail: I think the NSFW kind of like safety stuff is really important. I kind of think that one of the biggest risks kind of going into maybe the U.S. election year will probably be very interrelated with like graphics, audio, video. I think it's going to be very hard to explain, you know, to a family relative who's not kind of in our world. And our world is like sometimes very, you know, we think it's very big, but it's very tiny compared to the rest of the world. Some people like there's still lots of humanity who have no idea what chat GPT is. And I think it's going to be very hard to explain, you know, to your uncle, aunt, whoever, you know, hey, I saw President Biden say this thing on a video, you know, I can't believe, you know, he said that. I think that's going to be a very troubling thing going into the world next year, the year after. [00:39:12]Swyx: That's more like a risk thing, like deepfakes, faking, political faking. But there's a lot of studies on how for most businesses, you don't want to train on not safe for work images, except that it makes you really good at bodies. [00:39:24]Suhail: Personally, we filter out NSFW type of images in our data set so that it's, you know, so our safety filter stuff doesn't have to work as hard. [00:39:32]Swyx: But you've heard this argument that not safe for work images are very good at human anatomy, which you do want to be good at. [00:39:38]Suhail: It's not like necessarily a bad thing to train on that data. It's more about like how you go and use it. That's why I was kind of talking about safety, you know, in part, because there are very terrible things that can happen in the world. If you have an extremely powerful graphics model, you know, suddenly like you can kind of imagine, you know, now if you can like generate nudes and then there's like you could do very character consistent things with faces, like what does that lead to? Yeah. And so I tend to think more what occurs after that, right? Even if you train on, let's say, you know, new data, if it does something to kind of help, there's nothing wrong with the human anatomy, it's very valid for a model to learn that. But then it's kind of like, how does that get used? And, you know, I won't bring up all of the very, very unsavory, terrible things that we see on a daily basis on the site, but I think it's more about what occurs. And so we, you know, we just recently did like a big sprint on safety. It's very difficult with graphics and art, right? Because there is tasteful art that has nudity, right? They're all over in museums, like, you know, there's very valid situations for that. And then there's the things that are the gray line of that, you know, what I might not find tasteful, someone might be like, that is completely tasteful, right? And then there are things that are way over the line. And then there are things that maybe you or, you know, maybe I would be okay with, but society isn't, you know? So where does that kind of end up on the spectrum of things? I think it's really hard with art. Sometimes even if you have like things that are not nude, if a child goes to your site, scrolls down some images, you know, classrooms of kids, you know, using our product, it's a really difficult problem. And it stretches mostly culture, society, politics, everything. [00:41:14]Alessio: Another favorite topic of our listeners is UX and AI. And I think you're probably one of the best all-inclusive editors for these things. So you don't just have the prompt, images come out, you pray, and now you do it again. First, you let people pick a seed so they can kind of have semi-repeatable generation. You also have, yeah, you can pick how many images and then you leave all of them in the canvas. And then you have kind of like this box, the generation box, and you can even cross between them and outpaint. There's all these things. How did you get here? You know, most people are kind of like, give me text, I give you image. You know, you're like, these are all the tools for you. [00:41:54]Suhail: Even though we were trying to make a graphics foundation model, I think we think that we're also trying to like re-imagine like what a graphics editor might look like given the change in technology. So, you know, I don't think we're trying to build Photoshop, but it's the only thing that we could say that people are largely familiar with. Oh, okay, there's Photoshop. What would Photoshop compare itself to pre-computer? I don't know, right? It's like, or kind of like a canvas, but you know, there's these menu options and you can use your mouse. What's a mouse? So I think that we're trying to re-imagine what a graphics editor might look like, not just for the fun of it, but because we kind of have no choice. Like there's this idea in image generation where you can generate images. That's like a super weird thing. What is that in Photoshop, right? You have to wait right now for the time being, but the wait is worth it often for a lot of people because they can't make that with their own skills. So I think it goes back to, you know, how we started the company, which was kind of looking at GPT-3's Playground, that the reason why we're named Playground is a homage to that actually. And, you know, it's like, shouldn't these products be more visual? These prompt boxes are like a terminal window, right? We're kind of at this weird point where it's just like MS-DOS. I remember my mom using MS-DOS and I memorized the keywords, like DIR, LS, all those things, right? It feels a little like we're there, right? Prompt engineering, parentheses to say beautiful or whatever, waits the word token more in the model or whatever. That's like super strange. I think a large portion of humanity would agree that that's not user-friendly, right? So how do we think about the products to be more user-friendly? Well, sure, you know, sure, it would be nice if I wanted to get rid of, like, the headphones on my head, you know, it'd be nice to mask it and then say, you know, can you remove the headphones? You know, if I want to grow, expand the image, you know, how can we make that feel easier without typing lots of words and being really confused? I don't even think we've nailed the UI UX yet. Part of that is because we're still experimenting. And part of that is because the model and the technology is going to get better. And whatever felt like the right UX six months ago is going to feel very broken now. So that's a little bit of how we got there is kind of saying, does everything have to be like a prompt in a box? Or can we do things that make it very intuitive for users? [00:44:03]Alessio: How do you decide what to give access to? So you have things like an expand prompt, which Dally 3 just does. It doesn't let you decide whether you should or not. [00:44:13]Swyx: As in, like, rewrites your prompts for you. [00:44:15]Suhail: Yeah, for that feature, I think once we get it to be cheaper, we'll probably just give it up. We'll probably just give it away. But we also decided something that might be a little bit different. We noticed that most of image generation is just, like, kind of casual. You know, it's in WhatsApp. It's, you know, it's in a Discord bot somewhere with Majorny. It's in ChatGPT. One of the differentiators I think we provide is at the expense of just lots of users necessarily. Mainstream consumers is that we provide as much, like, power and tweakability and configurability as possible. So the only reason why it's a toggle, because we know that users might want to use it and might not want to use it. There's some really powerful power user hobbyists that know what they're doing. And then there's a lot of people that just want something that looks cool, but they don't know how to prompt. And so I think a lot of Playground is more about going after that core user base that, like, knows, has a little bit more savviness and how to use these tools. You know, the average Dell user is probably not going to use ControlNet. They probably don't even know what that is. And so I think that, like, as the models get more powerful, as there's more tooling, hopefully you'll imagine a new sort of AI-first graphics editor that's just as, like, powerful and configurable as Photoshop. And you might have to master a new kind of tool. [00:45:28]Swyx: There's so many things I could go bounce off of. One, you mentioned about waiting. We have to kind of somewhat address the elephant in the room. Consistency models have been blowing up the past month. How do you think about integrating that? Obviously, there's a lot of other companies also trying to beat you to that space as well. [00:45:44]Suhail: I think we were the first company to integrate it. Ah, OK. [00:45:47]Swyx: Yeah. I didn't see your demo. [00:45:49]Suhail: Oops. Yeah, yeah. Well, we integrated it in a different way. OK. There are, like, 10 companies right now that have kind of tried to do, like, interactive editing, where you can, like, draw on the left side and then you get an image on the right side. We decided to kind of, like, wait and see whether there's, like, true utility on that. We have a different feature that's, like, unique in our product that is called preview rendering. And so you go to the product and you say, you know, we're like, what is the most common use case? The most common use case is you write a prompt and then you get an image. But what's the most annoying thing about that? The most annoying thing is, like, it feels like a slot machine, right? You're like, OK, I'm going to put it in and maybe I'll get something cool. So we did something that seemed a lot simpler, but a lot more relevant to how users already use these products, which is preview rendering. You toggle it on and it will show you a render of the image. And then graphics tools already have this. Like, if you use Cinema 4D or After Effects or something, it's called viewport rendering. And so we try to take something that exists in the real world that has familiarity and say, OK, you're going to get a rough sense of an early preview of this thing. And then when you're ready to generate, we're going to try to be as coherent about that image that you saw. That way, you're not spending so much time just like pulling down the slot machine lever. I think we were the first company to actually ship a quick LCM thing. Yeah, we were very excited about it. So we shipped it very quick. Yeah. [00:47:03]Swyx: Well, the demos I've been seeing, it's not like a preview necessarily. They're almost using it to animate their generations. Like, because you can kind of move shapes. [00:47:11]Suhail: Yeah, yeah, they're like doing it. They're animating it. But they're sort of showing, like, if I move a moon, you know, can I? [00:47:17]Swyx: I don't know. To me, it unlocks video in a way. [00:47:20]Suhail: Yeah. But the video models are already so much better than that. Yeah. [00:47:23]Swyx: There's another one, which I think is general ecosystem of Loras, right? Civit is obviously the most popular repository of Loras. How do you think about interacting with that ecosystem? [00:47:34]Suhail: The guy that did Lora, not the guy that invented Loras, but the person that brought Loras to Stable Diffusion actually works with us on some projects. His name is Simu. Shout out to Simu. And I think Loras are wonderful. Obviously, fine tuning all these Dreambooth models and such, it's just so heavy. And it's obvious in our conversation around styles and vibes, it's very hard to evaluate the artistry of these things. Loras give people this wonderful opportunity to create sub-genres of art. And I think they're amazing. Any graphics tool, any kind of thing that's expressing art has to provide some level of customization to its user base that goes beyond just typing Greg Rakowski in a prompt. We have to give more than that. It's not like users want to type these real artist names. It's that they don't know how else to get an image that looks interesting. They truly want originality and uniqueness. And I think Loras provide that. And they provide it in a very nice, scalable way. I hope that we find something even better than Loras in the long term, because there are still weaknesses to Loras, but I think they do a good job for now. Yeah. [00:48:39]Swyx: And so you would never compete with Civit? You would just kind of let people import? [00:48:43]Suhail: Civit's a site where all these things get kind of hosted by the community, right? And so, yeah, we'll often pull down some of the best things there. I think when we have a significantly better model, we will certainly build something that gets closer to that. Again, I go back to saying just I still think this is very nascent. Things are very underpowered, right? Loras are not easy to train. They're easy for an engineer. It sure would be nicer if I could just pick five or six reference images, right? And they might even be five or six different reference images that are not... They're just very different. They communicate a style, but they're actually like... It's like a mood board, right? And you have to be kind of an engineer almost to train these Loras or go to some site and be technically savvy, at least. It seems like it'd be much better if I could say, I love this style. Here are five images and you tell the model, like, this is what I want. And the model gives you something that's very aligned with what your style is, what you're talking about. And it's a style you couldn't even communicate, right? There's n
City leaders are set to debate a controversial plan that proponents hope will revitalize De Anza Cove in Mission Bay. Community members are voicing their opinions on potential developments in Hillcrest that some hope will help alleviate San Diego's housing crisis. Mayor Todd Gloria is pushing county leaders to implement a new law that would expand conservatorship laws to include people with mental health and substance use disorders. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
This week, Nate and Chris catch up after Thanksgiving to talk bay fishing, specifically in San Diego and Mission Bay. PLUS we test out the live stream on YouTube! Check out this episode on YouTube: https://www.youtube.com/live/8QP4__lM9qk?si=Q-NVOwb4wClv3N_F Visit us at: www.CCACalifornia.org Join us at: www.JoinCCA.org
Welcome to Episode 112! Gregg Mansfield, a key player and an integral part of the Bayfair Board of Directors, joins the program. Greg opens up about his journey from his early days as a writer for Powerboat Magazine to his journey as becoming Board of Governor for Bayfair. We talk about the current state and explore the future of the Bayfair Regatta. Greg offers insight on the strategies being implemented to make the event more appealing to the younger generation. Join us to hear about Greg's thrilling experiences and his vision for the future of hydroplane racing on Mission Bay!Support the show
Many years ago, 2009 to be exact, YogiTriathlete founders BJ and Jess took the double win at a local triathlon in Boulder, CO taking home the grand prize of two big burritos. Since that day, every time they both take the win, they refer to it as the "Big Burrito Win" and they almost had another just a few weeks ago at the Mission Bay Triathlon in San Diego. However, BJ's first-place ranking quickly moved to second place as the results rolled in, and then was left to watch how his mind wanted to cling to the top step of the podium. Oh, the work of taming the mind is never done but it assuredly does become easier to let things go along the way. This episode is a great reminder to all triathletes and the triathlon-curious that swim, bike, run is a triathlon at any distance. On this particular weekend, Team YogiTriathlete athletes spanned the distances from the Ironman World Championship full distance of 140.6 to the mini kids sprint in the birthplace of triathlon. So no matter the distance, no matter the pace triathlon is meant to be celebrated, not minimized. Thank you for joining Jess and BJ for this episode, if you are enjoying this commercial-free content make your pledge, as little as $5/month, on patreon.com/yogitriathlete today. In this episode, we discuss: - Travel to unseen lands without bumping into tourists - Women's only IRONMAN World Championship in Kona - Making your strength stronger - Many touches in the water - The run record in Kona goes down - Longtime Team YogiTriathlete athlete races Kona!!! - "Acting as if" is not "fake it till you make it" - Mission Bay Triathlon recap - Big burrito win! - How the mind reacts to race results - Lose the word “just” - Building a local YogiTriathlete San Diego team - Training camp January 12-14, 2024 SIGN UP TODAY Namaste- Jess
Tourist San Francisco- mission bay library --- Support this podcast: https://podcasters.spotify.com/pod/show/haiying-yang/support
In celebration of the 5th anniversary of Stagecoach Greens, please enjoy the encore episode with co-founders Jan & Esther Stearns. If you live in the San Francisco Bay Area, drop by Stagecoach Greens and play a few rounds in commemoration! Do you love to play miniature golf on a course that is entertaining and educational?Jan and Esther Stearns, co-owners of Stagecoach Greens, San Francisco's only outdoor mini golf venue, share their coming out stories in celebration of Pride month. They also talk about how they came up with the (crazy) idea of a mini golf course in the Mission Bay area of San Francisco and their involvement with Braid Mission, a foster care community in the Bay Area.Tune in and find out how Jan and Esther met, how many people have tee'd off at Stagecoach Greens, and why people call the mini golf course a "love letter to San Francisco."You can schedule a tee time at Stagecoach Greens on their website and follow them @stagecoachgreens. Learn more about the foster care community at Braid Mission and follow them @braidmission.Become one with your sarcasm and SUBSCRIBE wherever you listen to podcasts!Get the current issue of Women Who Podcast magazine at womenwhopodcastmag.com.Follow us on social media @womenwhosarcast and @womenwhopodcastmagazine!(This episode was originally published on June 7, 2022.)All content © 2023 Women Who Sarcast
NBC7 is learning that a 12 year-old girl died in Mission Bay over the weekend, after being hit by a jet ski. The San Diego Police Department is now enforcing the City of San Diego's Unsafe Camping Ordinance. Several parks around San Diego County are closing because of the hot temperatures we've been feeling. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Some San Diego beaches are under water warnings or closures.Two Samaritans save man from fiery burning crash after being trapped. A homicide investigation is underway after one person was shot and killed in the Chollas Creek neighborhoodSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Temporary homeless shelter in Golden Hall set to shut down, New project could help with relocation. Days after being threatened by $1.5 million fine, Temecula Valley school board adopts new curriculum.2,000 gallons of sewage spills into Mission Bay, prompting water-contact closure.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In the "Today in San Diego" podcast, County leaders are considering to declare a state of emergency over the on-going sewage spills flowing from Tijuana to San Diego, the City council is set to take its final vote on a ban on homeless encampments and the 4th of July Mission Bay fireworks show was in limbo this year, but is set to happen after all thanks to hundreds of San Diegans. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
A 29-year-old man was shot in the neck in East Village Saturday Night, during an argument with another man. Preparations are underway for the Fourth of July celebrations, including the Mission Bay Fireworks Show. The Silver Strand shoreline is back open after on and off closures for months due to poor water quality. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Friends of the Urban Forest exists on the premise that there are "no trees in San Francisco." That of course isn't the literal truth. But we'll get to that. In Part 1 of our episode on FUF, we sit down with Tree Planting Program Manager Zeima Kassahun and Executive Director Brian Wiedenmeier to chat about the non-profit's 42-year history of making San Francisco greener. We learn a little about Zeima and Brian's lives, where they're from, how they ended up moving to The City, and what brought them to FUF. Then Brian and Zeima talk about the history of Friends of the Urban Forest. This conversation includes the fact that, upon colonization of San Francisco, there were very few trees, most of which were located in and around the no-longer-existent Mission Bay. We work our way up through industrialization, urbanization, and the advent of car culture to set the stage for what a group of neighbors and friends were up against when they founded FUF in 1981. Please join us for Part 2 next week, when we'll dive deeper into San Francisco's need for more canopy cover and what Friends of the Urban Forest, with its 40-ish staffers and hundreds of volunteers, is doing to bring that about. We recorded this podcast in April 2023 at the FUF office in the Presidio. Photography by Jeff Hunt
Join Peter Ravella and Tyler Buckingham on the American Shoreline Podcast as they discuss the ReWild Mission Bay project with Andrew Meyer, Karina Ornelas, and Nora Ives of the San Diego Audubon Society. The project aims to restore wetlands and preserve habitats for local species in the northeast corner of San Diego's iconic Mission Bay. Listen in as they explore the bay's history, current condition, and the vision for rewilding, while highlighting the importance of reducing the effects of climate change and improving public access and engagement with the area.
In the "Today in San Diego" podcast, after years of construction and long delays, the Mission Bay Drive Bridge is finally reopened to drivers, walkers and bikers, today marks the beginning of Passover and after weeks lonf of repairs, the State Route 78 Westbound lanes are expected to re-open today. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In Part 2, Kavitha and Byron talk about the nonprofit's relationship with and support of students from San Francisco public schools. We hear all about really cool projects that the kids engage in, from publishing books to producing podcasts. Then we talk about the expansion that 826 Valencia has undergone over the years. In San Francisco, they've opened two new nonprofit learning centers that each have their own uniquely themed stores up front. And they've gone national, with spots in nearly 10 different cities around the US. We end with some thoughts about the future of 826 Valencia. They'll be at Spark Social every Sunday next month starting on April 9. And we all know the address of their Mission District location. But these are the addresses for their digs in the Tenderloin and Mission Bay: 180 Golden Gate Avenue at Leavenworth 1310 Fourth Street at China Basin Photography by Michelle Kilfeather
On our geocaching podcast today, we go geocaching and scootering and do cache maintenance in Mission Bay and have a conversation about logging caches. We also share feedback on the POV (Point of View) type caches, a helpful hint about purchasing GPS units, finding geocaching news and much more. Listen To The Show (41:21) Show […] The post Show 823.0: Writing Good Geocaching Logs appeared first on PodCacher: Geocaching Goodness.
We're back with Brendan Kolesar, a mortgage loan specialist, to discuss imaginative and powerful strategies to combat variable interest rates in a volatile market and mortgage loan recommendations to reduce the headaches of loan refinancing. So tune in now to start your creative recession-proof investing path. WHAT YOU'LL LEARN FROM THIS EPISODE Top 3 mortgage loan options for investors Adjustable-Rate Mortgage: What it is and why it's a viable option Creative solutions to refinance mortgage loans The importance of loan pre-approvals RESOURCES MENTIONED IN THIS EPISODE Watch Master Class on How to Build Wealth During A Recession by joining the official Facebook group: Cash Flow Property Facebook Community Qualified and Nonqualified Mortgages - Brendan Kolesar ABOUT BRENDAN KOLESAR As the son of a retired Airforce Colonel and commercial airline pilot, you learn the importance of taking responsibility for both the destination and the journey. Brendan has been taking care of families' home finance needs for over fifteen years and recently welcomed his first child (a beautiful daughter) into his own family. A dedicated father, husband, and leader at The Kolesar Team, Brendan enjoys walks with his wife and daughter near their home in Carlsbad Village, but he's also been known to answer client calls from his paddle board on Mission Bay. CONNECT WITH US: If you need help with anything in real estate, please email: invest@rpcinvest.com Reach Ron: RP Capital Leave podcast reviews and topic suggestions: iTunes Subscribe and get additional info: Get Real Estate Success Facebook Group: Cash Flow Property Facebook Community
With the goal of helping San Francisco's under-resourced students develop their voices as writers, the nonprofit 826 Valencia — founded at that exact address in San Francisco's Mission District — turned 20 this year. There are now nine 826 chapters nationwide, and in San Francisco more than 5,600 students are served by the program in the back of its pirate store flagship, in its Tenderloin and Mission Bay centers and in eleven public schools across the city. Nearly 3 thousand students have been published in its writing collections and podcasts, proudly calling themselves published authors. We'll hear some works by 826's youth authors and talk with the founders and current team about the importance of celebrating — and publishing — youth voices. Related link(s): "Truth Of The Fenced Castle" by Tiarri More 826 Valencia Podcasts Guests: Dave Eggers, co-founder, 826 Valencia Nínive Calegari , co-founder, 826 Valencia Bita Nazarian, executive director, 826 Valencia Bianca Catalan, alumnus and Board Member, 826 Valencia
IN THIS EPISODE OF THE HUMAN UPGRADE™... …two of the most adventurous people on the planet share what they've uncovered, faced and learned through exploration of the planet's deepest waters. From discovering the Titanic to cave diving in places untouched by any other human, Bob Ballard and Jill Heinerth took risks, dove into fear, and came up for air with tremendous new knowledge. Combined, they've spent over nine decades searching the seas and documenting their findings. Canadian Jill Heinerth explores the underwater world as one of the greatest cave divers on the planet. She's considered this generation's Jacques Cousteau. She's completed more than 7,500 dives in her career so far and dived deeper into caves than any woman in history. She became the first person to dive the ice caves of Antarctica, going further into an underwater cave system than any woman ever. She's gone into places in the world where no one had gone before.Learn more about Jill's lifetime of underwater cave diving in her memoir, “Into the Planet: My Life as a Cave Diver.” “We are capable of so much more than we could possibly imagine," she says.Considered a legend in the diving community, she's spent more than 30 years in submerged caves around the world partnering with National Geographic, NOAA, and various educational institutions and television networks worldwide. She's also a writer and award-winning photographer and filmmaker who takes a keen interest in the health of the Earth's oceans. She's made TV series, consulted on movies, given TEDtalks and continues to educate kids and adults alike on underwater wonders.Bob Ballard explores the vast depths of the oceans uncovering mysteries, proving theories, and revealing artifacts that tell a story about the history of humankind. An oceanographer and marine geologist, he's led nearly 160 deep-sea expeditions and worked with the Navy on top-secret missions. His underwater career spanning more than 60 years began simply enough as a child with a love of California's Mission Bay tide pools.He's gone on to discover ships thought long lost (the RMS Titanic in 1985) and provide extraordinary new understandings and discoveries in marine geology, geophysics, biology, and chemistry. He's discovered new life-forms, traced ancient trade routes, developed robots that roam the ocean floor, and opened the underwater world to kids through telepresence. Bob's recent memoir chronicles his underwater journeys “Into The Deep: A Memoir from the Man Who Found Titanic.” “Just lots of crazy things have happened, and I'm still at it and I'm not going to quit,” he says.In July 2021, Bob began an expedition to map areas of the Pacific Ocean from the shoreline to the abyss supported by a 10-year $200 million federally funded study. Follow along at Nautilus Live, Ocean Exploration Trust. If you liked this special episode with Jill and Bob, you'll learn even more from listening to their full podcasts, directly below.Living a Life of Deep Adventure – Bob Ballard, Finder of the Titanic – #839A Lesson in Adventure Hacking: Step Toward Your Fear – Jill Heinerth – #663WE APPRECIATE OUR PARTNERS. CHECK THEM OUT!Repair Oxidative Stress Damage: https://eng3corp.com/DAVE/Kickstart Autophagy: https://timelinenutrition.com/DAVE, use code ASPREY10 to get 10% off any planControl Blood Glucose: https://pendulumlife.com, sign up for membership to get monthly supply delivery, use code DAVE20 to save $20 on your first shipmentSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Do you want to learn how to save money by refinancing your mortgage? In today's episode, Brendan Kolesar, a mortgage loan expert, provides us with helpful business advice on better alternative loan servicing options for purchasing properties and modifying mortgages to match your goals. Keep an eye out for further about the mortgage rate forecast! WHAT YOU'LL LEARN FROM THIS EPISODE How does rising interest rates affect the mortgage loan industry? Alternative mortgage financing options Debt Service Coverage Ratio (DSCR) vs. conventional loan Should you pay upfront points on non-QM loans? What are the mortgage interest rates expected to be? ABOUT BRENDAN KOLESAR As the son of a retired Airforce Colonel and commercial airline pilot, you learn the importance of taking responsibility for both the destination and the journey. Brendan has been taking care of families' home finance needs for over fifteen years and recently welcomed his first child (a beautiful daughter) into his own family. A dedicated father, husband, and leader at The Kolesar Team, Brendan enjoys walks with his wife and daughter near their home in Carlsbad Village, but he's also been known to answer client calls from his paddle board on Mission Bay. CONNECT WITH BRENDAN Contact number: 916-541-1808 CONNECT WITH US: If you need help with anything in real estate, please email: invest@rpcinvest.com Reach Ron: RP Capital Leave podcast reviews and topic suggestions: iTunes Subscribe and get additional info: Get Real Estate Success Facebook Group: Cash Flow Property Facebook Community
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