Podcasts about ted2015

The Heart of Jacks PodcastEpisode #14 - A Tantra Primer with Rick LaskaGuest: Rick LaskaReleased March 15, 2021 Sponsored by Woodhull Freedom Foundation at https://woodhullfoundation.orgSupported by Patreon at https://patreon.com/theheartofjacks/ Barking dogs and garage doorsPursuing the bate-life balanceAnd a mindful talk about tantra with Rick Laska Segment 1: Paul wants to talk to you about your "Bate/Life Balance," how adults who masturbate frequently balance this part of their lives with everything else being a grownup requires of us. It may sound strange, but the extension of our cultural reticence with regard to masturbation can leave people in a "denial/release" cycle of cutting out self-pleasure followed by periods of sacrificing everything else. Paul is looking for guest suggestions to chew on this topic of making healthy self-pleasuring a balanced part of our adult lives. Segment 2: Rick Laska is a clinical social worker and certified sex therapist in the Twin Cities Metro Area in Minnesota. He has been involved in the field of sexual health and wellness for over 2 decades. He is passionate about pleasure, intimacy, and connection as well as overcoming the oppressive forces trying to stifle those things. Paul and Rick talk about his path to social work and sex therapy, and dive into the fundamentals of sexual mindfulness and tantra.- - - - -Email the show: podcast@theheartofjacks.comCall the show: 206-580-3120Send your questions and they might be included in future episodes. The Heart of Jacks Podcast, written and produced by Paul RosenbergTheme Music is Carouselophane by Jake Bradford SharpPodcast distribution by Simplecast- - - - -Rick Laska (AASECT profile) Rick Laska (Director of Clinical Services, JustUs Health, St. Paul Minnesota)  Mentioned in this podcast: Inspiration:Diana Fosha, PhDAbout Accelerated Experiential Dynamic Psychotherapy (AEDP) Esther Perel"Where Should We Begin? with Esther Perel" (podcast) "How's Work?" (podcast) "Rethinking infidelity… a talk for anyone who has ever loved" Esther Perel at TED2015  Recommendations:"Urban Tantra: Sacred Sex for the Twenty-First Century" by Barbara Carrellas "Tantra for Gay Men" by Bruce Anderson "It's Not Always Depression: Working the Change Triangle to Listen to the Body, Discover Core Emotions, and Connect to Your Authentic Self" by Hilary Jacobs Hendel Sex Education on Netflix 

Frank Braun talks with Arto Bendiken about the ongoing Coronavirus pandemic (COVID-19). How did we get here and what convinced us to prep. Paranoia, case fatality rates, and vaccines. Secondary and tertiary effects. Normalcy, authority, and confirmation bias. Subscribe Pocket Casts Spotify Stitcher Apple Podcasts Overcast Google Podcasts PlayerFM YouTube Show Notes Introduction 00:01:40 What set this whole thing in motion? Both Frank and Arto are already in lockdown mode, and prepared. It’s ~6 weeks since both of them started “buying some insurance”. Arto prepared for 11 people. 00:05:25 What made you think it’s going to be a big deal? (Risk assessment) Observations from Wuhan. Lessons from Spanish Influenza 1918-1920. High infectiousness, showing no symptoms while being infectious. People suddenly dropping in the streets. 00:08:00 Book: “The Great Influenza” Few media coverage on strange cases, like the woman dropping on the vegetable market. 2020, A strange year 00:09:10 First week of February: cancelling all travel plans (Arto Bendiken). 00:10:00 “An earthquake happened in Wuhan, and the tsunami will follow. It is hard to see the tsunami until it comes close to the shore, but it will follow.” (Arto citing Steve) 00:11:05 Analytical preparation, emotional process (fear) comes later. 00:11:40 Reactions by others: accusations of panicking. 00:12:03 Convincing others to prepare? 00:12:28 People buy insurance for things that are less likely to happen. 00:14:43 NN Taleb’s Tweet on Paranoia: “When paranoid, you can be wrong 1000 times & you will survive. If non-paranoid; wrong once, and you, your genes, & the rest of your group are done.” - Not everyone takes action on something so far away. 00:15:40 Balaji S. Srinivasan’s Three categories of people: “1) Post-headline people: only believe things that are already in print 2) No filter people: forget it, they’ll believe anything :) 3) Pre-headline people: will listen to a rational argument and look at primary data”. 00:17:05 Authority bias: Credentials, degrees, other people’s opinion. 00:18:10 Talking to family and friends about situation when there was still time to prepare. 00:18:40 Cassandra Myth (Iliad) 00:19:15 Uniform set of responses: you’re panicking and making it worse, dismissal 00:19:53 Bill Gates warned about pandemics long ago, but was dismissed as a college dropout and IT guy. (Confirmation bias, ad hominem attack) 00:21:09 Bill Gates: “The most predictable disaster in the history of the human race”. 00:21:20 Albert Camus: These things have a way of reocurring out of the blue sky. 00:21:50 Increased risk factors: base risk plus big cities, international travel. 00:22:03 On average, three pandemics a century. 00:22:21 Ebola outbreak was a close call. Hongkong Flu (1 million dead), late 1960s. Economic cost 00:23:14 Many animal to human transmissions were contained early by slaughtering millions of animals at the slightest sign of sickness. (Economical cost!) 00:23:53 Vaccines and public health system. (Smallpox) 00:25:47 We are still in the beginning of the economic impact. Common thinking errors and biases 00:26:45 Bias to focus on things that are caused by humans. Helplessness when confronted with pandemics. 00:27:37 Man-made virus from Wuhan lab? 00:28:19 Illegaly sold lab test animal at wet market? (野味 yewei, bush meat; 街市 jieshi, wet market) 00:30:08 Cognitive bias: systematic error of thinking. Man is the rationalizing animal. (Example: seeing faces in clouds) 00:31:31 Examples of observed biases: authority bias, confirmation bias, combinations of these. 00:32:25 Normalcy bias (nobody wants to be bothered to change routines). The Virus: An Abstract Threat, vs. Zombies 00:33:05 Max Brooks (World War Z): Fear of pandemics is so deep, cannot be discussed rationally. Zombies = Pandemic. 00:34:50 Virus is an abstract threat, there will be 1 trillion copies of it by infection. 00:35:14 Plague: people did not even know what caused infection. (Germ theory) 00:36:45 Are Zombie enthusiasts better prepared for a virus pandemic? 00:37:55 Trying to find out what’s going on fundamentally vs. latching onto experts. 00:38:48 Engaging brain about status vs. primary data. 00:39:30 People starting with the premise that they are not smart enough to understand what’s actually going on, not making any effort of their own. 00:40:40 Trying to understand incoming data, for example the first papers coming out of Wuhan. 00:42:05 Impossible to keep up with current findings, research, and papers. 00:42:40 More data globally, in the beginning filtering was easier. Problems with “Confirmed cases” 00:42:42 Mon, March 16th: currently 170.000 confirmed cases, 5000-6000 dead. 00:42:49 Confirmed cases != infections 00:43:17 Impossible to keep up with new cases. 00:44:00 “Confirmed case count"= comes with limitations (manpower, test kits). 00:44:55 Again, not enough test kits (USA, Berlin). Wuhan could test only 3000/day in the beginning. 00:45:20 “Confirmed cases"= lag in data. 00:46:35 “When people focus on these official measures… that are limited by staffing, test kits, by political considerations, then that’s not a good way… of understanding what’s going on.” 00:46:55 “That’s why it was so good to get this leaked information, leaked videos, from Wuhan. That way we got a sense of what was actually going on.” 00:47:30 The plural of anecdote is data. 00:47:41 Investigative Reporting. 00:48:00 Actions speak louder than data: Measures against the virus were severe. 1 Mio people in lockdown, 10% of global population. Mathematical Modelling 00:48:42 Mathematical Modelling… common problems: people cannot understand exponential function. people compare to flu last year. countermeasure lag: it takes time to show effect, politics make new changes 2 days apart, makes no sense. 00:51:12 Case fatality rate. World Health Organization (WHO) 00:51:22 Role of WHO: gives recommendations for guidelines, funding by member countries (China among them), driven by political considerations. 00:52:15 Public health emergencies of international concern (PHEIC). 00:52:25 WHO got rid of the term “pandemic”. Case Fatality Rate (CFR) 00:53:25 “Naïve” Case Fatality Rate (CFR), released by WHO. First, 2.1% (mostly China); revised 3.5%, and going up. 00:55:20 SARS initial outbreak CRF ~2%, but by the end of the outbreak, it was ~6% (resolved CFR). 00:56:49 Makes no sense to compare past cases to current cases (open cases vs. resolved). 00:57:45 CFR for age groups: not taking into consideration system overload (needed care might not be provided). 00:59:22 CFR only says so much, 20% require hospitalization, many of those need ICU. 01:00:00 Hospitals in Italy are already overwhelmed, will worsen until end of the week. 01:00:40 Italy’s CFR is already higher than China’s. Secondary and Teritiary Effects 01:00:50 Cases overload the medical system, secondary effect: death rates go up. Patients with other diseases might not get medical help. Empty hospitals beds waiting for the next pandemic are unlikely. Economic impossibility, health care system already occupies significant percentage from GDP. Makeshift hospitals. 01:03:20 Investment options. Stock-market implosions. Crypto-market implosions. Flight to cash. 01:04:28 Supply chain problems. Goods coming from China. Food also comes from China. Just-in-time economy (supermarket have no more backrooms, but once or twice a day a truck delivery). Tesco is already limiting purchases like toilet paper. Respirators (EU: FFP2 & USA: N95, or FFP3 & N99): China restricted exports. Overreacting 01:08:15 “It’s always about efficieny, never about risk of failure.” 01:08:28 Pandemic response bears a similar problem like IT security. Overreaction with swine-flu might had been the reason it never got that bad, that’s why it was called an overreaction later. 01:09:23 “It’s a bit like prepping: no matter how bad it gets, you want to be overreacting in retrospect, otherwise, you didn’t prep enough. And, you’re not gonna hit exactly on target, so you wanna err on the side of overreaction.” 01:10:01 Control theory (robotics): accuracy vs. speed. Respirators and Masks 01:12:30 “You don’t have them [the respirators] until you have them in your hand” … “It’s like cash”. 01:13:10 Only stock up on masks if you intend to not avoid people. 01:14:23 Ukrainian border confiscated protective gear when trying to cross border to Poland (export is forbidden). 01:15:21 Idea that you don’t need respirators: “You don’t know how to properly use them!” “Doctors need them.” 01:15:50 Why didn’t hospitals stock up in January? True: Doctors need respirators more. 01:16:30 How can wearing a mask not help? If everyone wears a mask, that means every infected person wears a mask, and this decreases chances of transmission. (Hongkong) 01:17:25 “Wearing a respirator makes it less likely you’re getting infected yourself, … and wearing a surgical mask … helps not infecting other people, so it makes total sense that everyone wears at least surgical masks”. 01:18:40 Men’s issue: shaving gel and razors (beards and masks don’t go well together). Prepping 01:20:40 People tend to be dismissive of people with health problems, who might need medication or health care, and the elderly (“It kills only old people!"). 01:22:02 Ukrainian health care system is monopolized by state (surgeries, child birth, vaccine). “A public hospital is the last place I want to go [in the Ukraine]". 01:22:22 Contingency planning differs on country. 01:23:25 “The real carnage is going to be in third-world countries, just like it was in 1918”. (USA: 675.000 vs. India: 2 Million, Spanish Flu) 01:24:20 Lviv Infecitous Diseases Hospital messaged it would be well-prepared with 20 isolation beds (and plans to expand to 300), 4 ventilators, 0 ECMO, 10.000 surgical masks and respirators. Medical supplies 01:25:40 No difficulty to buy antibiotics in Ukraine, whereas in other countries it’s highly regulated (prescription vs. over the counter). 01:26:37 Chloroquine is promising in treatment of COVID-19 (malaria drug). 01:27:39 Paracetamol is not easy to buy in bulk. India also has restricted export (Indians source precursors from China, too). Location 01:28:40 Arto’s housing situation: countryside Western Ukraine, foothills of Carpathians. Frank: Berlin suburbs. Location cannot be changed later. Time is a constraint. Economy is going down. “If you wanna prep now, and you don’t already have a place to go… I don’t see why you should go there now”. Consider threat model: main risk for both is electricity going down. Social Distancing 01:32:51 Where do you stay put, and with whom? Acquire resources to stay put: food and drinking water, some personal protection for supply runs. Nitrile gloves Any mask will be useful, at least you won’t touch your face. Disinfectant: WHO guide how to make your own, primers might still be available. Goggles: Construction glasses or swim goggles. Scenario 01:36:30 Think about your scenario: staying inside apartment for a long time. food, water, protective gear what could go wrong- how do I deal with it? If electricty goes down: gasoline cooker, cheap carbohydrates (no freezer/ storage), pressure canning (no freezer, conserving meat). 01:40:30 Most likely scenario: you stay indoors, everything works (electricity, water, internet) first, get prepared for this scenario. 01:41:00 If electricity goes down for extended periods, water goes down. The big problem is not drinking water, but sanitation. Off-the-grid bucket loo with trash bags and wood shavings as absorbant, and wet wipes to clean. (BranQ portable toilet) 01:43:00 Water filter Micropur Forte Katadyn Filter Foodgrade Canisters for tap water and disinfect with Micropur Forte. 01:44:06 “I tried to focus on stuff that I normally eat anyway, … I just got a lot more, so it doesn’t go to waste. Other things like rice bags, I got as an insurance, but the rest I would eat anyway.” Threat model: Electricity, Water, Internet going down 01:44:50 Threat model and scenario. Social distancing might help burn the pandemic out. Viral shedding after recovery can be up to 37 days. Countries will handle situation differently. 01:47:10 “… if the situation gets particulary bad, which it might over here [in Ukraine] at least, I would expect some more outages, for the internet connectivity, there’s multiple options for that, so I expect at least one of them working.” 01:47:44 A lot of people getting sick means a lot of people not working, especially in grid systems workers might not be able to fix things in time. 01:48:24 “For the internet, we will see how well that works if everybody’s sitting at home watching netflix, or porn in full HD.” 01:48:59 Mobile internet. 01:49:17 Mitigate risk for short downtimes. 01:50:40 Wuhan pictures from people queuing for water. 01:51:11 Mitigate risk of having to go to the store a lot. not because of food shortages, but it’s a risk for virus exposure. 01:51:48 Going out for walks, just don’t meet anybody (countryside). avoid contact, don’t touch anything droplets in common areas that you pass on the way out (hallway, elevator). Prepping and timing 01:53:25 “Although I’m now pretty well prepared compared to most people, it kinda caught me cold-handed… because I was always interested in prepping, and I was always planning on prepping more for when SHTF, but I never really executed that much. But when I started six weeks ago, I realized how much harder… it was than I imagined, and also how much harder it was because… of such a short notice, and it was getting harder to get things, for example the respirators. It would have been so easy to stock up on all of this stuff. For example, the ridiculous situation that you had to ship me antibiotics from Ukraine although I was in Ukraine in January, I should have just bought all the prescription medicine a prepper needs.” 01:55:37 Early Infections in Italy, Seattle, etc. happened in January/Feburary. COVID-19 death in Spain 2 weeks before the first confirmed case there. (Lack of indicator) Food and Cans 01:56:56 Cheap carbohydrates, easy to store. (“Insurance”) Potatoes, rice, buckwheat. 01:57:10 Newly acquired freezer to stock up on meat. Canned meat as backup. Pressure Canning, if you have time, or already own a pressure canner. 01:58:15 Add variety, if you switch to carbohydrates. Canned veggies and canned fruit. Salt, Pepper, Spices. Deliveries 01:59:18 Deliveries still working. Disinfecting parcels. All delayed (surge of deliveries, momentarily overwhelmed). Fat 02:01:05 Freeze butter, or make Ghee. Olive oil might be adulterated with industry/ vegetable oils. Timescale 02:02:55 “Right now, people in the last week or two stopped laughing… and stopped repeating this mindless It’s Just The Flu, Bro… in any case, they’re still expecting this will be over soon. … And authorities are still telling them it will be over soon, prepare for a few weeks.” even emergency measures expire in about a month (bars and club are closed only until April, etc.) People stay at home close to 50 days. (Wuhan) China is looked upon as having “beaten the virus”. 02:04:57 “It’s always better if you’re dealing with a foreign virus, than with a domestic virus”. In Iran: Zionist conspiracy. “Virus doesn’t care!” 02:05:40 Once China resumes work, and life, there will be another wave. re-imports to China (from Italy for example) fully stopping virus is not so easy. virus will become endemic. multiple waves. Dystopian future vs. helpful tracking and tracing 02:07:26 Countries which deal well with it: outbreak, containment measures, a lot of testing, tracking, and contact tracing -> situation under control, problem: reintroduction from other countries. China is currently trying to automate contact tracing. Location tracking. Surveillance cameras with face recognition. Helpful scaling of tracking vs. dystopian nightmare. 02:10:10 The Virus can travel up to 4,5m, passenger infected others through a long-distance bus ride. video camera in bus. position of citizens is known at all times. re-engineering passenger’s travel was possible. 02:12:20 Controlling coming waves, keeping the country in lockdown is not a solution unless we transition to a permanentely remote economy. 02:12:30 Appeal from engineer perspective. Social Scoring system is already established. put people on specific quarantines if they were in contact with an infected person. government AI tells you if you should leave your apartment today, or get a test. scaling without the disruptions from now would be possible. 02:14:04 Germany outruled events with more than 50 people, but if you do an event with less people, you need to create a list of all attendees. (old school approach) pressure into direction of more surveillance. pushing ban on cash forward as well. China destroyed cash on basis of contamination questions. some chains in Germany went cashless because of the virus. Acceptance pipeline 02:16:39 “Acceptance pipeline”, dealing with grief: it won’t be over soon. 02:17:10 Pipe dream: Many place hope on vaccine development. vaccines are for healthy populations. vaccine is far away: more than 12 months, at least. might not be easy to develop (7 different coronaviruses, 15 years of development but currently no vaccine for either). not so effective: 20-60% for common flu vaccine. high mutation rate. 02:20:30 Accepting that there’s no easy fix. what are you going to do to plan for it? avoid infection as long as possible (6 months). look at vaccine development like a lottery win. by the time the vaccine is developed (18 months), whatever will happen has already happened. 02:23:12 It’s hard to plan to stay in apartment for 18 months. instead, plan for a world with Coronavirus, and a lot of lockdowns, and a lot of infections. Learning from past pandemics 02:23:35 Learn from past pandemics (1918 Spanish flu, 3 waves). 02:24:04 Spanish flu: passed through ships, first cases (first wave) very mild, less than influenza, less than COVID-19. Second wave, 5 months of carnage. Worse than COVID-19, at least currently. Third wave, somewhere in between. future waves might be more lethal. or become endemic, less lethal. it would be prudent to plan on a worst-case scenario where it takes a couple of years. “something worth paying attention to is going on.” Economic changes 02:27:50 Practical preparations for 6 months is difficult (economically). savings rates in Western countries are shit. people are out of jobs already (events cancelled, tourism breaks down). bankruptcy. no more fundraising tours. airlines discharge employees. 02:29:29 Good thing: remote work will be more accepted. Prepping List 02:30:00 Supply run gear for securing supplies goggles (and anti-fog spray), respirator (or surgical mask), rain poncho (or whole body protection suit), gloves (most important). 02:32:20 Surfaces: virus can be contangious on surfaces a few days (up to 9 days). Buttons, handrails, etc. (disposable gloves). 02:33:38 Coming from outside to inside. Shoes (rain boots can be easily disinfected). 02:34:10 Sourcing is already hard, will become more difficult. switching to local production. repurposing existing production facilities. 02:34:50 Power issues. solar panels, butane, propane, camping stove, space heaters on butane. fuel: gasoline, diesel, firewood. prepare for next winter. 02:36:00 Sanitation TP!!! plumber might not be available: be prepared to unplug it on your own. 02:37:05 Disinfectant Alcohol-based wet wipes since disinfectant is nearly everywhere sold out, switch to local production and DIY. 02:37:45 Medical The Prepared List/ Medical Broad-band Antibiotics: prevent secondary infections (pneumonia, 50-60% CFR). Doxycycline, Bactrim, Zithromax. India is restricting 26 medicines& pharmaceuticals, including paracetamol. China is restricting personal protective equipment (PPE) export since a month, maybe also medicine. If you take any prescription medicine, stock up for a few months at least. Stock up on painkillers (Ibuprofen and other non-steroids like aspirin, might be a risk factor for COVID-19). Prepare to treat yourself. 02:43:13 Pregnancies. Prepare for home birth. Access to healthcare resources will be restricted (Check-ups). Sourcing books. Remote consultation with midwives. Might be a common situation this year. 02:44:45 Chronic diseases and cancer patients. Might be unable to receive treatment. 02:46:34 Hygiene and Sanitary Items. Condoms. Tampons, Pads. can also be tradeables 02:47:05 Tradeables. see above, and: Alcohol. Cigarettes. Lighters. Wrap-up 02:48:05 Send us your questions! 02:48:32 Expert: Jon Stokes, ThePrepared.com. Founder of Ars Technica. 02:49:20 Book Recommendation: Barry, John M. (2004): The Great Influenza. The Story of the Deadliest Pandemic in History. Arto’s Twitter thread with quotes from the book 02:51:15 Book Recommendation: Hatfill, Steven; Coullahan, Robert; Walsh, John (2019): Three Seconds To Midnight. US-specific, but general sections are great. 02:51:50 “Bottom line here is: People underestimated this systematically. … Systemic error of thinking, they underestimated it, and they continue to underestimate it, even though they are no longer laughing, they continue to underestimate it. … This is something that has not happened in any of our lifetimes, there’s no listener who has seen anything that has been on the order of this, and it would be very good to get out of our normalcy bias.” recognizing a lethal situation as a lethal situation. go through the acceptance pipeline. err on the side of overreaction. it’s not about calculating the odds, we have no way to know which scenario will play out, so prepare for a few. it’s not just about us, it’s also about other people (keep granny around!), that also depends on your actions. Donation Report 02:55:11 Donation Report and Minimum Wage Calculation. Reading Recommendations Barry, John M. (2004): The Great Influenza. The Story of the Deadliest Pandemic in History. Goodreads Hatfill, Steven; Coullahan, Robert; Walsh, John (2019): Three Seconds To Midnight Goodreads Taleb, Nassim Nicholas (2020): Systemic Risk of Pandemic via Novel Pathogens - Coronavirus: A Note Taleb, Nassim Nicholas: How to react to Pandemics N.N. Taleb on paranoia Homer: Iliad (Cassandra Myth) Gates, Bill (2015): The most predictable disaster in the history of the human race Gates, Bill (2015): The next outbreak? We’re not ready. TED2015 Gates, Bill (2020): Responding to Covid-19 — A Once-in-a-Century Pandemic? Bill Gates on pandemics Camus, Albert (1947): La Peste. (The Plague) Arto’s Coronavirus reading list Arto’s thread of The Great Influenza quotes Max Brooks’ quote of World War Z fame B.S. Srinivasan on post-headline people “Naïve” Case Fatality Rate (CFR) The Virus can travel up to 4,5m Centers, Josh: The Prepared List/ General Rader, Tom: The Prepared List/ Medical Desinfectant antiviral Handrub: WHO Guide to Local Production Discuss We’re on bbs.anarplex.net with our own board to discuss! Hosts Smuggler (Twitter) Frank Braun (Twitter) Guest Arto (Twitter) Contact Email: bitstream@taz0.org PGP fingerprint: 1C4A EFDB 8783 6614 C54D E230 2500 7933 D85F 2119 (key) Snail mail Bitstream Scanbox #06965 Ehrenbergstr. 16a 10245 Berlin Germany Please send us feedback letters, postcards, and interesting books. You can also send us your dirty fiat by cash in the mail! We take all currencies. 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My guest today is Baratunde Thurston. Baratunde is a particularly hilarious comedian, he wrote the bestselling book How to be Black as well as many feature articles for places like Fast Company and Medium. He helped to re-launch the Daily Show with Trevor Noah through building the digital expansion team. And he used to write for the Onion and has been nominated for an Emmy award.This conversation is a little different in that we deep dive into a very specific work project of Baratunde’s and it was one that I witnessed a few months ago. It was the closing keynote of the TED 2018 conference. While the footage is not yet live, you can get a feel for what this looked like when he did the same thing at TED2015.To set the scene, the 2000 TED delegates had just experienced around 100 talks over the course of five days. Imagine the impact of watching just one TED talk and multiply that by 100. It’s an amazing and immersive experience and feels like you have been blasted by a fire hose with ideas. And the very last talk was Baratunde Thurston who summed up the entire conference experience - from the 100 or so talks to the snack foods to the parties - in 20 hilarious minutes.But here is the thing - Baratunde wrote this phenomenal presentation during TED. So while experiencing the five day event he also wrote his talk. And then he memorised it. And then he presented it. In front of the entire TED audience. It was one of the most mind-blowing performances I have seen in my life. So I reached out to Baratunde to speak to him about how we did this. We delve into:Preparation - and why its almost impossible to prepare for a performance like thisThe technology he used to record and collaborateHis physical / health routineThe different ways to structure a jokeUnpacking some of the jokes and how they came togetherHow he memorised a 20 minute talk in the space of a few hoursHow he manages nervesWe also cover a heap of other things, including:Baratunde’s quirky (but effective) email autoresponderBaratunde’s weekly reflection ritualHow he writes articlesWhy working on the Daily Show with Trevor Noah was the hardest job he has ever jobThe key question to ask your employer when accepting a new jobWhy he is so frustrated with the social media companiesFind more about Baratunde at www.baratunde.com, on Medium, on Facebook, and on Twitter.SMS Baratunde at +12029027949 (and use #howiwork).Visit www.amanthaimber.com/podcast for full show notes.Get in touch at amantha@inventium.com.au See acast.com/privacy for privacy and opt-out information.

Dr. Fei-Fei Li, the Chief Scientist of AI/ML at Google joins Melanie and Mark this week to talk about how Google enables businesses to solve critical problems through AI solutions. We talk about the work she is doing at Google to help reduce AI barriers to entry for enterprise, her research with Stanford combining AI and health care, where AI research is going, and her efforts to overcome one of the key challenges in AI by driving for more diversity in the field. Dr. Fei-Fei Li Dr. Fei-Fei Li is the Chief Scientist of AI/ML at Google Cloud. She is also an Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab. Dr. Fei-Fei Li's main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, etc. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006). Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder of Stanford's renowned SAILORS outreach program for high school girls and the national non-profit AI4ALL. For her work in AI, Dr. Li is a speaker at the TED2015 main conference, a recipient of the IAPR 2016 J.K. Aggarwal Prize, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship and a number of Google Research awards. Work from Dr. Li's lab have been featured in a variety of popular press magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more. She was selected as a 2017 Women in Tech by the ELLE Magazine, a 2017 Awesome Women Award by Good Housekeeping, a Global Thinker of 2015 by Foreign Policy, and one of the “Great Immigrants: The Pride of America” in 2016 by the Carnegie Foundation, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al. Cool things of the week Terah Lyons appointed founding executive director of Partnership on AI article & site Fully managed export and import with Cloud Datastore now generally available blog How Color uses the new Variant Transforms tool for breakthrough clinical data science with BigQuery blog & repo Google Cloud and NCAA team up for a unique March Madness copmetition hosted on Kaggle blog Interview AI4All site, they are hiring and how to become a mentor Cloud AI site Cloud AutoML site Cloud Vision API site and docs Cloud Speech API site and docs Cloud Natural Language API site and docs Cloud Translation API site and docs Cloud Machine Learning Engine docs TensorFlow site, github and Dev Summit waitlist ImageNet site & Kaggle ImageNet Competition site Stanford Medicine site & Stanford Children's Hospital site Additional sample resources on Dr. Fei-Fei Li: Citations site Stanford Vision Lab site Fei-Fei Li | 2018 MAKERS Conference video Google Cloud's Li Sees Transformative Time for Enterprise video Past, Present and Future of AI / Machine Learning Google I/O video Research Symposium 2017 - Morning Keynote Address at Harker School video How we're teaching computers to understand pictures video Melinda Gates and Fei-Fei Li Want to Liberate AI from “Guy with Hoodies” article Dr. Fei-Fei Li Question of the week Where can I learn more about machine learning? Listing of some of the many resources out there in no particular order: How Google does Machine Learning coursera Machine Learning with Andrew Ng coursera and Deep Learning Specialization coursera fast.ai site Machine Learning with John W. Paisley edx Machine Learning Columbia University edx International Women's Day March 8th International Women's Day site covers information on events in your area, and additional resources. Sample of recent women in tech events to keep on radar for next year: Women Techmakers site Lesbians Who Tech site Women in Data Science Conference site Where can you find us next? Mark will be at the Game Developer's Conference | GDC in March.

음악가인 테이터에게 노래하는 것은 자신의 일부분을 다른 사람에게 주는 것입니다. 그는 이렇게 말합니다. "여러분의 목적이 사람들에게 잘 보이거나 마지막에 큰 박수를 받는 것이라면, 이건 주는 게 아니라 받는 겁니다." 그가 TED2015 무대 위에서 연주를 하며 여러분에게 주는, 사랑과 거리와 고향에 대한 두 곡을 들어보세요.

ミュージシャンのタイトゥルにとって、歌うことは自分の一部を他の人たちに贈ること。彼は「もしも人々を感動させたり最後に大きな拍手をもらうのが目的ならば、それは受け取ることで与えることではない」と言います。TED2015のステージ上で演奏される、愛と隔たり、そして故郷についての２曲をお聞きください。

بالنسبة للموسيقي تيتور، فإن الغناء هو إعطاء قطعة منك للآخرين. "إن كانت نواياك هي إبهار الناس و الحصول على تصفيق كبير في النهاية، فأنت تأخذ إذن، و لا تعطي" هكذا يقول تيتور. استمع إلى عزفه على مسرح TED2015، و هو يغني أغنيتين عن الحب، و الفراق و الوطن.

Для музыканта Тайтура петь — значит отдавать частицу себя остальным. «Если твоё желание — произвести впечатление или получить бурные аплодисменты в конце, — говорит он, —тогда ты просто берёшь, а не отдаёшь». Послушайте, как он выступает на сцене TED2015 с двумя песнями о любви, расстоянии и доме.

Para o músico Teitur, cantar tem a ver com dar um pedaço de si mesmo para os outros. "Se suas intenções são impressionar as pessoas ou ganhar um grande aplauso no final,", diz ele, "então você está tirando, e não dando." Ouça como ele toca no palco do TED2015, oferecendo duas músicas sobre o amor, a distância e casa.

Para el músico Teitur, cantar es regalar un pedazo de ti mismo a los demás. "Si tus intenciones son para impresionar a la gente o para conseguir el gran aplauso al final", dice, "entonces estás tomando, no dando". Escúchelo mientras toca en el escenario en TED2015 dos canciones sobre el amor, la distancia y el hogar.

Pour le musicien Teitur, chanter c'est offrir un bout de nous-même aux autres. « Si vos intentions sont d'impressionner les gens ou d'avoir plus d'applaudissements à la fin, dit-il, alors vous prenez, vous ne donnez pas. » Écoutez-le jouer sur la scène de TED2015, offrant deux chansons parlant d'amour, de distance et d'un chez soi.

Für Musiker Teitur bedeutet singen, einen Teil von sich an andere herzugeben. "Wenn es deine Absicht ist, Menschen zu beeindrucken oder am Ende einen großen Applaus zu bekommen, dann nimmst du, anstatt zu geben“, sagt er. Hier seine Aufführung auf der Bühne bei TED2015, wo er zwei Lieder über Liebe, Ferne und Zuhause spielt.

For musician Teitur, singing is about giving away a piece of yourself to others. "If your intentions are to impress people or to get the big applause at the end," he says, "then you are taking, not giving." Listen as he plays on stage at TED2015, offering two songs about love, distance and home.

Стейси Бейкер всегда была зациклена на том, как люди находят друг друга. Когда она попросила фотографа Алека Сота помочь ей изучить этот вопрос, они сначала оказались на крупнейшей в мире вечеринке экспресс-свиданий в Лас-Вегасе на День святого Валентина, а потом — в самом большом интернате для пожилых людей в Неваде. В обоих местах Алек фотографировал пары. Через эти эксперименты они показали прекрасный путь, который люди проходят от знакомства до долгих лет совместной жизни. (Это выступление было частью мероприятия TED2015, организованного журналом «Pop-Up»: popupmagazine.com or @popupmag on Twitter.)

Stacey Baker, siempre ha estado obsesionada por el modo en el que se conocen las parejas. Cuando le pidió al fotógrafo Alec Soth que le ayudara a explorar este tema, acabaron en el evento de citas rápidas más grande del mundo, que se celebra en Las Vegas en el Día de San Valentín, y en la comunidad más grande de jubilados, en Nevada... con Soth haciendo fotos a las parejas en los dos lugares. Entre estos dos extremos, han creado una hermosa narrativa a través de la cual se ve una pareja que pasa de tener una cita a hacer una vida juntos. (Esta charla fue parte de una sesión TED2015 encargada por la revista Pop-Up Magazine:. Popupmagazine.com o @popupmag en Twitter.)

Stacey Baker a toujours été obsédée par la manière dont les couples se rencontrent. Elle a demandé au photographe Alec Soth de lui apporter son soutien dans son exploration, et ils se sont retrouvés à la plus grande soirée de speed-dating du monde, à Las Vegas, le jour de la St Valentin, avant de partir à la rencontre de la plus grande communauté de retraités du Nevada. Soth a pris des portraits de couples dans les deux événements. Entre ces deux extrêmes, ils ont découvert un fil rouge magique qui relie les couples entre leur première rencontre et le moment où ils fondent une vie ensemble. Cette présentation fait partie de TED2015. Elle est proposée par Pop-Up Magazine (popupmagazine.com or @popupmag on Twitter.)

스테이시 베이커는 연인들이 어떻게 처음 만나는지에 대해 항상 관심있게 지켜봤습니다. 스테이시는 사진 작가 알렉 소스에게 이 주제를 탐구하는 걸 도와달라고 했고, 이 둘은 발렌타인 데이에 라스베가스에서 열린 세계에서 가장 큰 스피드 데이팅 이벤트에 참석했으며, 네바다 지역의 가장 큰 노인주택지구에도 찾아갔습니다. 알렉 소스는 각기 다른 현장의 커플들을 사진으로 담아냈습니다. 서로 매우 다른 이 두 행사에서 둘은 어떻게 커플들이 만나서 함께하는 삶을 만들어가는지에 대한 아름다운 여정을 풀어나갔습니다. 이 강연은 Pop-up 잡지(popupmagazine.com, 트위터 @popupmag)에서 주관한 TED2015의 일부입니다.

Stacey Baker has always been obsessed with how couples meet. When she asked photographer Alec Soth to help her explore this topic, they found themselves at the world's largest speed-dating event, held in Las Vegas on Valentine's Day, and at the largest retirement community in Nevada — with Soth taking portraits of pairs in each locale. Between these two extremes, they unwound a beautiful through-line of how a couple goes from meeting to creating a life together. (This talk was part of a TED2015 session curated by Pop-Up Magazine: popupmagazine.com or @popupmag on Twitter.)

Легендарный хореограф Билл Ти Джонс и стипендиаты TED Джошуа Рóман и Соми не знали, что они будут показывать на сцене конференции TED2015. Они лишь хотели, чтобы у аудитории был шанс увидеть, что такое совместное творчество. Результат — импровизация, которую они назвали «Красный круг и синий занавес». Столь прекрасная, что ей нельзя не поделиться...

Der legendäre Tanzchoreograf Bill T. Jones und die TED Fellows Joshua Roman und Somi wussten nicht genau, was passieren würde, als sie die Bühne von TED2015 betraten. Sie wussten nur, dass sie dem Publikum die Möglichkeit bieten wollten, kreative Zusammenarbeit in Aktion zu erleben. Das Ergebnis: Ein improvisiertes Stück, das sie "Der rote Kreis und der blaue Vorhang" nennen, so außergewöhnlich, dass es geteilt werden musste ...

O lendário coreógrafo Bill T. Jones e os membros TED Joshua Roman e Somi não sabiam exatamente o que aconteceria quando subiram ao palco da TED2015. Eles sabiam apenas que queriam oferecer ao público uma oportunidade de testemunhar a colaboração criativa em ação. O resultado: uma peça improvisada que chamaram de "O Círculo Vermelho e a Cortina Azul", tão extraordinário que tinha que ser compartilhado...

Le légendaire chorégraphe Bill T. Jones et les TED Fellows Joshua Roman et Somi ne savaient pas exactement ce qui allait se passer lorsqu'ils sont montés sur scène à TED2015. Ils savaient seulement qu'ils voulaient offrir à leur auditoire une opportunité d'assister à une collaboration créative en action. Le résultat : un morceau improvisé qu'ils appellent « Le Cercle rouge et le Rideau bleu ». Tellement extraordinaire qu'il se devait d'être partagé...

لم يكن مصمم الرقصات الأسطوري بيل ت. جونز ومتابعي TED جوشوا رومان وسومي يعرفون ماذا سيحدث بالضبط عندما اعتلوا المسرح في TED2015. كانوا فقط يعرفون أنهم يريدون تقديم فرصة للجمهور ليشهدوا التعاون الخلاق أثناء تكوينه. والنتيجة كانت: قطعة مرتجلة يطلقون عليها "الدائرة الحمراء والستار الأزرق"، وهي قطعة رائعة كان لا بد من مشاركتها..

El legendario coreógrafo Bill T. Jones y los Becarios TED Joshua, Roman y Somi no sabían exactamente lo que sucedería cuando subieran al escenario de TED2015. Solo sabían que querían ofrecer al público la oportunidad de ser testigos de la colaboración creativa en acción. El resultado: una pieza improvisada que denominaron "El círculo rojo y la cortina azul", tan extraordinaria que tenía que ser compartida...

伝説的コレオグラファー（振付家）のビル・T・ジョーンズ、TEDフェローのジョシュア・ローマンとソミは、TED2015のステージに上がった時どうなるか正確に知っていたわけではありません。彼らにあったのは、コラボレーションによる創造の有様をじかに観客に見せたいという思いだけです。それが結実したのが『赤い円と青いカーテン』という卓越した即興作品です。ぜひともご覧ください。

Legendary dance choreographer Bill T. Jones and TED Fellows Joshua Roman and Somi didn't know exactly what was going to happen when they took the stage at TED2015. They just knew they wanted to offer the audience an opportunity to witness creative collaboration in action. The result: An improvised piece they call "The Red Circle and the Blue Curtain," so extraordinary it had to be shared ...