Podcasts about human decisions

"And it dawned on me that these executives are solving the same communication problems in their meetings that I'm solving for in the interrogation room." -Michael Reddington On this episode of the Turmeric & Tequila podcast, your host Kristen Olson sits down with Michael Reddington, an expert in transforming resistance into commitment and a certified forensic interviewer. Michael shares insights into his unexpected journey from aspiring special education teacher to a career in investigations and executive education through his company, Inquasive. Discover how his early experiences integrated with diverse and inclusive environments shaped his communication skills, pivotal to his success today. Delve into the disciplined listening methods that not only unlock hidden value in conversations but also highlight the ethical approach to communication. Kristen and Michael also explore common human experiences, the importance of empathy, and the significant role personal growth and learning from mistakes play in achieving true success. Whether you're navigating business, personal relationships, or just aiming to be a better communicator, this episode is packed with valuable takeaways to inspire your journey. Tune in for this gracefully disruptive conversation and learn why sometimes not having a single pivotal moment can be the greatest story of all. Time Stamps: 00:00 Reflections on Life's Unseen Influences 05:19 Journey of Self-Understanding 09:03 "Let Life Unfold Naturally" 12:18 Interrogation and Teaching Aspirations 15:08 Passionate Educator's Journey Unfolds 18:52 Business Communication Meets Interrogation Techniques 20:23 "Unlocking Value in Conversations" 26:00 Boring Conversations through Good Preparation 27:35 Drugs, Guns, and Interrogation 31:34 "Empathy in Human Decisions" 34:54 "Mastering Effective Communication" 38:55 Effective Communication Tools for Success 40:52 Effective Persuasion Techniques 44:06 Influence: Science or Manipulation? 46:52 Teaching Boundaries: A Proud Parenting Moment 50:12 Humor in Youth Sports Coaching 53:21 "Nurturing Future Influencers"   Michael Reddington EXECUTIVE RESOURCE, CERTIFIED FORENSIC INTERVIEWER & AUTHOR Michael Reddington is an expert at moving people from resistance to commitment. He is an executive resource, Certified Forensic Interviewer, President of InQuasive, Inc., and author of The Disciplined Listening Method. Michael's public speaking career began in his teenage years as he travelled around New England educating audiences on the benefits of including students with, and without, disabilities in the same classrooms. His speaking endeavors simmered for several years as he facilitated training courses for investigators at the organizations where he was employed. https://michaelreddington.com/ https://www.linkedin.com/in/michaelreddingtoncfi/   Connect with T&T: IG: @TurmericTequila Facebook: @TurmericAndTequila Website: www.TurmericAndTequila.com Host: Kristen Olson IG: @Madonnashero Tik Tok: @Madonnashero Website: www.KOAlliance.com WATCH HERE   MORE LIKE THIS: https://youtu.be/ZCFQSpFoAgI?si=Erg8_2eH8uyEgYZF   https://youtu.be/piCU9JboWuY?si=qLdhFKCGdBzuAeuI https://youtu.be/9Vs2JDzJJXk?si=dpjV31GDqTroUKWH

Time stamps: Introducing Mike Belshe (00:00:42) Mike Belshe's Background (00:01:58) Self-Custody vs. Institutional Custody (00:02:05) Multi-Signature Technology (00:03:56) Understanding Multi-Party Computation (00:04:51) Advancements in Cryptography (00:05:53) BitGo's Role in Tokenizing Bitcoin (00:08:26) Defining DeFi's Importance (00:09:09) Mike's Technology Background (00:12:12) Inspiration from Tim Berners-Lee (00:14:57) Bitcoin's Zero Click Payments (00:17:11) Bitcoin Custodianship Issues (00:17:36) Challenges of Bitcoin Payments (00:18:25) Scaling Bitcoin and Lightning Network (00:19:20) Bitcoin's Role in Digital Money (00:20:13) Layer Two Solutions and Drivechains (00:21:15) Scaling Discussions in Bitcoin's History (00:22:31) Sidechains and Their Limitations (00:23:16) Innovation vs. Immutability (00:24:29) Importance of Real Applications (00:25:32) Privacy and Fungibility in Bitcoin (00:28:42) Lessons from TCP/IP and Blockchain Privacy (00:30:51) Regulatory Concerns and Privacy Solutions (00:32:53) Understanding the Static of Security (00:34:01) SideShift (00:34:59) Bitcoin's Civil War: Block Size Wars (00:35:54) Human Decisions in Bitcoin (00:36:16) Historical Proposals and Interpretations (00:37:10) Challenges of Block Space and Fees (00:37:58) Bitcoin Consensus (00:38:48) SegWit and Its Implications (00:39:41) Gavin Andresen's Role in Bitcoin (00:42:00) Bitcoin's Resilience Against Adversaries (00:42:13) Need for Enhanced Security (00:43:05) Strategic Bitcoin Reserve in the USA (00:44:30) El Salvador's Currency Strategy (00:45:19) Self-Custody Concerns (00:49:13) Security Measures for Self-Custody (00:50:17) Privacy as a Solution (00:50:43) Self-Custody Options (00:51:14) Family Legacy and Custody Challenges (00:52:24) Public Key Cryptography Innovation (00:52:28) HODLING.ch (00:53:29) Protecting Against Government Confiscation (00:54:15) Multi-Custodial Model Explanation (00:54:21) Hardware Wallets Discussion (00:56:03) Safety Deposit Box Concerns (00:58:03) Trade-offs in Security Solutions (00:58:56) Onboarding New Users (01:00:09) Edge Wallet Features (01:01:01) BitGo's Wallet Recovery Wizard (01:03:02) BitGo vs. Casa (01:05:08) Multi-Signature Security (01:05:46) Early Adoption of Multi-Sig (01:09:10) Building a New Monetary System (01:11:54) Regulatory Changes in the US (01:13:49) Impact of MiCA in Europe (01:15:32) War on Cash (01:16:17) Global Financial Systems (01:18:03) Zero Knowledge Proofs (01:19:48) Zcash Discussion (01:20:04) Privacy Technologies in Bitcoin (01:21:18) Challenges of On-chain Traceability (01:22:26) Philosophy on Transaction Privacy (01:23:19) Concerns About Privacy Adoption (01:24:51) Historical Context of TCP/IP Security (01:25:34) Bitcoin as Digital Gold (01:27:24) Ethereum's Role in DeFi (01:29:01) Benefits of Smart Contracts (01:32:01) Reflections on Bitcoin's Journey (01:33:25) Future of Bitcoin (01:34:30) Lightning Network Fees (01:36:12) Trade-offs in Payment Systems (01:38:01) Adoption of Bitcoin and Early Adoption Costs (01:42:01) Long-term Viability of Bitcoin Mining (01:44:38) The Future of Bitcoin and Layer Solutions (01:47:17) Community Response to Bitcoin Vulnerabilities (01:49:01) Satoshi's Vision for Mining (01:51:11) Satoshi's Intentions (01:52:35) Empathy for Satoshi (01:54:16) 0 to 1 Concept (01:54:24) Bitcoin's Anniversary (01:55:53) Centralization in Crisis (01:56:33) Zero Knowledge Proof Bug (01:57:45) Following Mike Belshe's Work (01:58:45)

Roman Rivera talks about the effects of electronic monitoring for US pretrial defendants. “Release, Detain, or Surveil? The Effect of Electronic Monitoring on Defendant Outcomes” by Roman Rivera. OTHER RESEARCH WE DISCUSS IN THIS EPISODE: "The Effects of Pretrial Detention on Conviction, Future Crime, and Employment: Evidence from Randomly Assigned Judges" by Will Dobbie, Jacob Goldin, and Crystal S. Yang. “Criminal Recidivism after Prison and Electronic Monitoring” by Rafael Di Tella and Ernesto Schargrodsky. “Better at Home Than in Prison? The Effects of Electronic Monitoring on Recidivism in France” by Anaïs Henneguelle, Benjamin Monnery, and Annie Kensey. “Can Electronic Monitoring Reduce Reoffending?” by Jenny Williams and Don Weatherburn. Probable Causation Episode 79: Jenny Williams. “The Effects of Electronic Monitoring on Offenders and Their Families" by Julien Grenet, Hans Grönqvist, and Susan Niknami. "Human Decisions and Machine Predictions" by Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan. "Algorithmic Risk Assessments and the Double-Edged Sword of Youth" by Megan T. Stevenson and Christopher Slobogin. "The Effects of Parental and Sibling Incarceration: Evidence from Ohio" by Samuel Norris, Matthew Pecenco, and Jeffrey Weaver.

Ian Baer, Founder and Chief Soothsayer, has been solving marketing's greatest challenges forover three decades. He has spent his career helping major brands achieve extraordinary successand challenger brands box above their weight class in leadership roles with Publicis Groupe,TBWA, Rapp, Deutsch and others, and was named to Campaign US' Digital 40 Over 40. A prominent thought leader all aspects of marketing, Ian has spoken at numerous conferences and podcasts discussing trends in consumer behavior. In addition tofounding sooth in 2023, Ian is the brand storytelling practice lead for Kestrel Consultants andsits on the Ithaca College Customer Experience Board.

The post Philipp Schoenegger on AI-augmented predictions, improving human decisions, LLM wisdom of crowds, and how to be a superforecaster (AC Ep36) appeared first on amplifyingcognition.

Unlock the power of data in shaping your organization's future as we tear down the myths surrounding data-driven decision-making. We dissect the essential cultural shift necessary for integrating data analytics into the heart of business strategy, steering clear of reliance on gut feelings or misleading numbers. We dive into practical applications, from planning poker to interpreting customer experience metrics. We provide the knowledge to avoid common data interpretation pitfalls, such as those exemplified by the beer game in supply chain management.For those striving to guide intuition-driven leaders towards a more data-informed approach, our dialogue offers inventive tactics for leveraging trusted allies and fostering a climate of persistent, creative persuasion. This week's takeaways:Data-driven vs. number-driven decision making: Data alone isn't enough. Context and understanding of statistical deviations are crucial for sound judgments.Overcoming resistance to data-driven decisions: Inflexible leaders pose a challenge. Directly challenging their intuition might be ineffective. Empowering teams and managing technical debt: Create short feedback cycles to enable rapid decision-making and results demonstration.Resources:Algorithms to Live By: The Computer Science of Human Decisions - https://a.co/d/dzojO5kJeff Bezos- https://www.youtube.com/watch?v=Ub585Pn4yroTune in to transform how you harness data for smart, insightful leadership decisions. We love to hear your feedback! If you have questions or would like to suggest a topic, please feel free to contact us at feedback@definitelymaybeagile.com.

Decisions, active or passive, affect our lives every day. The decisions you make, the decisions others make, they channel our lives towards certain outcomes. That can leave us feeling helpless at times, particularly when the bad decisions of others negatively impact our prosperity or peace.--But in the story Esther God reminds us that He is behind the scenes determining human decisions - not making them, but providentially guiding the affairs of creation. And since He is a good God, Believers can take great comfort in knowing human decisions are not arbitrary

Decisions, active or passive, affect our lives every day. The decisions you make, the decisions others make, they channel our lives towards certain outcomes. That can leave us feeling helpless at times, particularly when the bad decisions of others negatively impact our prosperity or peace.--But in the story Esther God reminds us that He is behind the scenes determining human decisions - not making them, but providentially guiding the affairs of creation. And since He is a good God, Believers can take great comfort in knowing human decisions are not arbitrary

Decisions, active or passive, affect our lives every day. The decisions you make, the decisions others make, they channel our lives towards certain outcomes. That can leave us feeling helpless at times, particularly when the bad decisions of others negatively impact our prosperity or peace.But in the story Esther God reminds us that He is behind the scenes determining human decisions – not making them, but providentially guiding the affairs of creation. And since He is a good God, Believers can take great comfort in knowing human decisions are not arbitrary

Do you believe that the Bible has the solution to all your problems-- Listen to this lesson to learn a spiritual skill that unlocks the solution you need to handle adversities. Find out the meaning of the word -trust- and hear a number of passages of Scripture explaining its importance. Choose God's radical but simple way to live your life which involves learning God's Word and making it a priority.

Do you know you are personally responsible for all your choices and the consequences that come from them? Listen to this lesson to learn that God works behind the scenes to see that His sovereign will is always carried out ultimately. Find out that rebellious, self-centered Samson made decisions based on his selfish lusts, but God worked behind the scenes to use Samson's choices to disrupt relations with the Philistines. Hear an incident in Samson's life involving a young woman and a lion and the trouble that was caused.

Do you know you are personally responsible for all your choices and the consequences that come from them? Listen to this lesson to learn that God works behind the scenes to see that His sovereign will is always carried out ultimately. Find out that rebellious, self-centered Samson made decisions based on his selfish lusts, but God worked behind the scenes to use Samson's choices to disrupt relations with the Philistines. Hear an incident in Samson's life involving a young woman and a lion and the trouble that was caused.

#144 - Tina Neve is a career coach and counsellor and the founder of Human Decisions. She explains the rights you have when being made redundant, how to negotiate for a better redundancy package and how you can make redundancy a positive part of your career.What you'll learn[2:24] How counselling can complement coaching.[7:34] The rights you have in the UK if you're being made redundant.[8:29] How redundancy differs from other forms of dismissal.[10:24] Traps you should avoid when going through a redundancy process.[12:40] The value of keeping documentation of redundancy procedures.[15:08] How to approach alternative employment your employer offers you as a result of redundancy.[17:19] What compromise agreements are and how they work.[18:19] How to know if you can leverage your redundancy payout.[23:18] The benefits of taking legal advice around your redundancy.[25:48] What can be negotiated in a redundancy settlement.[29:40] How to know if you should discuss your redundancy details with colleagues.[33:54] What you should do if you get made redundant.[39:17] How to approach a career change in a time-efficient way.[43:38] How to avoid panicking when looking for a new job.[48:44] How to respond to employers asking why you were made redundant.[52:52] How to get mentorship or coaching without spending lots of money.Resources mentioned in this episode (some of these are affiliate links and we may get a commission in the event that you make a purchase - this helps us to cover our expenses and is at no additional cost to you):Working Identity, Herminia IbarraSmart Growth, Whitney JohnsonFor the show notes for this episode, including a full transcript and links to all the resources mentioned, visit:https://changeworklife.com/redundancy-how-to-bounce-back-and-come-out-fighting-when-you-lose-your-job/Re-assessing your career?  Know you need a change but don't really know where to start?  Check out these two exercises to start the journey of working out what career is right for you!Take me to the exercises!Also, make sure to join the Change Work Life Facebook group and check out the ways you can support the podcast on the Change Work Life Support page.Follow us on Facebook, Instagram, and Twitter.ASK ME ANYTHING!For Episode 150 I'm doing a special "Ask Me Anything" episode. But for that to work, I need your questions!Whether it's your own career dilemma, concerns about the effect the economy might have on your job (and what you can do about it) or questions about me and my own career transition:SUBMIT YOUR QUESTION HERE

Każda decyzja ma ton emocjonalny, nawet jeśli wydaje nam się super logiczna. Jak myślisz, co wspólnego ma matematyka z podejmowaniem decyzji? Dlaczego jej podejmowanie przychodzi nam z trudnością? Czy katastrofy lotnicze to przypadek, czy kwestia złego wyboru? W tym odcinku podcastu omawiamy tematy związane z bezpieczeństwem psychologicznym, działaniem grup, podejmowaniem decyzji i negocjacji. Dowiesz się na czym polega paradoks Abilene i w jakich sytuacjach ma on miejsce. MAPA ODCINKA: [5:28] Algorytm szukania żony [11:53] Podejmowanie decyzji [14:44] Bezpieczeństwo psychologiczne [16:22] Popełnianie gaf, a kreatywność [19:45] Self disclosure [23:32] Wykorzystywanie humoru w biznesie [27:03] Negocjator terapeuta vs. negocjator kowboj [28:46] Efekt Dunninga-Krugera [33:39] Koncept WEIRD [36:14] Złożony model motywacji [42:22] Paradoks Abilene [46:14] Projekt Arystoteles i psychologiczne bezpieczeństwo CIEKAWOSTKI Z TEGO ODCINKA: Popełnianie kompromitującej gafy czy opowiadanie o niej zwiększa bezpieczeństwo w grupie co z kolei prowadzi do tego, że grupa jest bardziej kreatywna. Więcej czasu poświęcamy na zarządzanie statusem niż na generowaniu rozwiązań. Dorzucenie żartu na koniec negocjacji pozytywnie wpływa na rezultaty negocjacji Aż 90% ankietowanych managerów ocenia się jako 5% najlepszych. Japonia jest bardziej kolektywną kulturą (zależność nie odstawiania od grupy). Jeżeli świetnie sobie radzą, odpuszczają by przystosować się do grupy, jeżeli są na dole, docierają do poziomu grupy. W kulturze indywidualnej ludzie skupiają się na tym by być najlepszym, a gdy ich wynik jest niski jest nieważny. Psychologiczne bezpieczeństwo ma dwa rodzaje zachowań – miękkie (odsłanianie się) i twarde (kwestionowanie, wchodzenie w merytoryczny konflikt). Ważniejsze jest jak zespół się komunikuje, niż z kogo się składa. Tipy budowania bezpieczeństwa w grupie to m.in: odsłanianie się i wyrównywanie statusu oraz budowanie kontaktu grupowego. ŹRÓDŁA WSPOMINANE W TYM ODCINKU: B. Christian, T. Griffiths Algorithms to Live By: The Computer Science of Human Decisions (książka) Rafał Żak – Yyyyy. Jak podejmować dobre decyzje (książka) Leigh Thompson – Creative Conspiracy (książka) Leigh Thompson – Negotiating the Sweet Spot (książka) WEIRD (koncept) Negativity bias – efekt negatywny Expectancy-Value Theory – model motywacji Amy Edmondson – badania dotyczące psychologicznego bezpieczeństwa (Błędy ludzkie w katastrofach lotniczych)

On this episode of The Federalist Radio Hour, Russ Roberts, the John and Jean De Nault research fellow at the Hoover Institution and host of the EconTalk podcast, joins Federalist Culture Editor Emily Jashinsky to discuss his book "Wild Problems: A Guide To The Decisions That Define Us."You can find Roberts' book here: https://www.penguinrandomhouse.com/books/672977/wild-problems-by-russ-roberts/

On this episode of The Federalist Radio Hour, Russ Roberts, the John and Jean De Nault research fellow at the Hoover Institution and host of the EconTalk podcast, joins Federalist Culture Editor Emily Jashinsky to discuss his book “Wild Problems: A Guide To The Decisions That Define Us.” You can find Roberts’ book here: https://www.penguinrandomhouse.com/books/672977/wild-problems-by-russ-roberts/

The economy seems like a monolithic entity we measure, manage, and adapt to. But really, economics (as a field) and the economy (as a system) is really just an agglomeration of human decisions. What's in? What's out? What's up? What's down? And most importantly: Why? In this episode, I talk with Stacey Vanek Smith, a co-host of NPR's The Indicator from Planet Money and this summer's guide for Planet Money Summer School. We talk about how someone with no economics background can get so obsessed, how the economy is a profoundly human system, and, of course, inflation.Footnotes: Planet Money Summer School “GDP & What Counts” (Summer School 2) “Why is the Fed so boring?” The Indicator from Planet Money More about Stacey Vanek Smith Episodes of What Works are published as articles every Thursday. Get them delivered straight to your inbox at explorewhatworks.com/weekly Leave a review, browse old episodes, or leave a voicemail at whatworkspodcast.com Pre-order What Works: A Comprehensive Framework to Change the Way We Approach Goal-Setting at explorewhatworks.com/book Radically rethink how you set goals: pre-order Tara's new book, What Works: A Comprehensive Framework to Change the Way We Approach Goal-Setting. Find it anywhere books are sold or at explorewhatworks.com/book.★ Support this podcast ★

When machine-learning algorithms are deployed in high-stakes decisions, we want to ensure that it leads to fair and equitable outcomes. However, many machine predictions are deployed to assist in decisions where a human decision-maker retains the ultimate decision authority. In this episode of the CLE's podcast series, Prof. Talia Gillis (Columbia) and Prof. Alexander Stremitzer (ETH Zurich) discuss Gillis' study "On the Fairness of Machine-​Assisted Human Decisions" - joint with Bryce McLaughlin (Stanford) and Jann Spiess (Stanford) - on how properties of machine predictions affect the resulting human decisions. In their study, Gillis, McLaughlin and Spiess show in a formal model that the inclusion of a biased human decision-maker can revert common relationships between the structure of the algorithm and the qualities of resulting decisions. Specifically, they document that excluding information about protected groups from the prediction may fail to reduce disparities. Their results demonstrate more broadly that any study of critical properties of complex decision systems, such as the fairness of machine-assisted human decisions, should go beyond focusing on the underlying algorithmic predictions in isolation. Paper References: Talia Gillis - Columbia University Bryce McLaughlin - Stanford University Jann Spiess - Stanford University On the Fairness of Machine-Assisted Human Decisions https://arxiv.org/abs/2110.15310 Audio Credits for Trailer: AllttA by AllttA https://youtu.be/ZawLOcbQZ2w

God's Providence in Historical Events (1:1-3a) God's Providence in Ordinary Moments (1:3-9) God's Providence in Human Decisions (1:10-22)

God's Providence in Historical Events (1:1-3a) God's Providence in Ordinary Moments (1:3-9) God's Providence in Human Decisions (1:10-22)

The Cognitive Crucible is a forum that presents different perspectives and emerging thought leadership related to the information environment. The opinions expressed by guests are their own, and do not necessarily reflect the views of or endorsement by the Information Professionals Association. In this crossover episode of the Phoenix Cast and Cognitive Crucible, John Bicknell is joined by John Schreiner, Kyle Moschetto and Rich Vaccariello. The podcast hosts discuss why they started their respective casts, how they view competition, the key take-aways of their casts, the top must listen episodes, and the other podcasts they listen to. Cognitive Crucible show notes page https://information-professionals.org/episode/cognitive-crucible-episode-78 Links and Resources: MCDP 1-4 Competing Phoenix Cast Episodes Mentioned: Nate Fick SolarWinds Reaction Gene Kim Cognitive Crucible Episodes Mentioned: #24 Davis on Modern Warfare, Teamwork, and Commercial Cognitive Security #38 Reynolds on Operations in the Information Environment #63 Vickers on IO and the Cyclops Books, Movie, and Other Podcast Suggestions: Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian and Tom Griffiths Hackers (1995 Movie) Unlocking Us Podcast with Brene Brown Life-Changing Inventions in Literature with Dr. Angus Fletcher The New Rules of Leadership with Abby Wambach EconTalk Podcast with Russ Roberts Hard Core History Podcast with Dan Carlin  Net Assessment Podcast DarkHorse Podcast with Dr Bret Weinstein and Dr. Heather Heying Watch “Ron's Gone Wrong” movie with your children.

On this week's episode, the crew debates whether or not music has become more regional (2:14), the longevity of an artist (20:30), talks Larry Hoover and other inmates in ADX (42:43), then we have a breakdown of hoe culture...it gets deep (1:09:33). Last Name Good's Bruh Where: Goapele Lingo Steve: Word Of The Week: Beleaguer - To beset, as with difficulties; harass. Producer Black's Book Of The Week: Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian Chiane XO's Shoutout Of The Week: @gfb3 Be sure to subscribe to The No Buffer Podcast for more exclusive footage. www.youtube.com/channel/UCkZyLaIm…ub_... Listen to the Culturally Ratchet Playlist open.spotify.com/playlist/1R1...​ Listen to The No Buffer Podcast smarturl.it/4sa7h8​ New Culturally Ratchet Merch available at nobufferpodcast.com/shop​ Follow the crew on social: IG www.instagram.com/nobufferpodcast www.instagram.com/lastnamegood/ www.instagram.com/chianexo www.instagram.com/lingostevo www.instagram.com/jabariblackmond www.instagram.com/h_imperial763

On this episode of the Salesman Podcast Brian Christian explains the power of algorithms and the guys dive into the question if they're so powerful, can they replace all human decision making in B2B buying process. Coming soon. Transcript: Coming soon.

Representation is a problem when it comes to work. Until we solve it, we're shortchanging people, business, and customers. Every business - EVERY. BUSINESS. - should be intensely focused on creating environments of belonging, a thriving and humble culture, and empathy-driven leadership. All done in a way that helps people feel brave, valued, and an integral part of building impactful business. Jess Von Bank was thrilled to talk to tech co-founder Katharine Zaleski, President of PowerToFly. They dug into why the diversity recruiting and retention platform made a strategic decision (hint: a human decision) to broaden their focus to help more than women, how they help employers tackle massive diversity recruiting goals at scale, and how her career led her from the world's most impressive newsrooms (Huffington Post, NowThis, The Washington Post) to creating inclusive workplaces. POWER EPISODE ALERT. Listen up

Diese Woche in der Zukunft: In dieser Episode beginnt die Zukunftsstaffel mit der Frage von https://www.linkedin.com/in/stefan-kermas-658392196/?originalSubdomain=de (Stefan Kermas) und wird von HR-Visionär https://www.linkedin.com/in/jess-koch-72683579/ (Jess Koch) beantwortet. Er wiederum gibt den Staffelstab in Form einer neuen Frage an die Zukunft weiter. Michael Carl spricht in dieser Folge mit KI-Expertin https://www.ivow.ai/ourteam.html (Davar Ardalan) über kulturell sensible Künstliche Intelligenzen. Was sind typische Einsatzfelder von kulturell sensiblen KIs? Wie genau regieren die Maschinen auf unterschiedliche kulturelle Hintergründe? Und was bedeutet das für uns Menschen? An dieser Stelle werden wir auch regelmäßig über Bücher, Filme, Serien etc. sprechen, die uns inspirieren, die wir für hilfreich und anregend halten. In Folge 2 stellen wir zwei Bücher gegenüber, deren Autoren jeweils unterschiedliche Perspektiven auf den Umgang von uns Menschen mit Algorithmen haben. In „https://www.amazon.de/New-Dark-Age-Technologie-Zukunft/dp/3406741770 (New Dark Age – Der Sieg der Technologie und das Ende der Zukunft)“ von James Bridle erkennt der Autor einen tückischen automation bias im allzu vertrauten Umgang mit Maschinen und automatisierten Vorgängen. Positiver bewerten die Autoren Brian Christian und Thomas Griffith die Interaktion mit Maschinen: In ihrem Buch „https://www.amazon.de/Algorithms-Live-Computer-Science-Decisions/dp/0007547994/ref=sr_1_1?adgrpid=73770770831&dchild=1&gclid=CjwKCAjwh7H7BRBBEiwAPXjadgEpWwc79nA-Bq9r4T0Zoyvn5ACaav2xyy-wix4B2Yu-9MRzXmCc-hoCx0MQAvD_BwE&hvadid=391552927122&hvdev=c&hvlocphy=9042985&hvnetw=g&hvqmt=e&hvrand=12158161355925964418&hvtargid=kwd-300531550968&hydadcr=27957_1978104&keywords=algorithms+to+live+by&qid=1600937093&sr=8-1&tag=googhydr08-21 (Algorithms to Live By: The Computer Science of Human Decisions)“ gehen die Autoren der Frage nach, was wir für unser humanes Denken von künstlichen Algorithmen lernen können. Vertrauen wir automatisierten Reaktionen zu sehr und wie können wir besser denken und glücklicher werden, wenn wir uns die Erfolgsprinzipien von Algorithmen zu Nutze machen? Noch ein Hinweis in eigener Sache: Vom 02.-04. Dezember veranstaltet das https://future-carl.institute/ (carl institute for human future) das Zukunftscamp „https://future-carl.institute/update-zukunft-dezember-2020/ (Update Zukunft Winter 2020)“ in Leipzig. Eine auf 12 Personen limitierte exklusive Veranstaltung mit Live Screening vom https://websummit.com/ (Web Summit 2020 in Lissabon). Mit inspirierenden Gästen und dem Team vom carl institute for human future aktualisieren wir unser Zukunftsbild. Die Gäste dieser Woche:https://www.linkedin.com/in/stefan-kermas-658392196/?originalSubdomain=de (Stefan Kermas), Volljurist und ehemaliger Bundestrainer der Hockey-Nationalmannschaft. https://www.linkedin.com/in/jess-koch-72683579/ (Jess Koch), HR-Manager, Agile Trainer und Coach bei HR Pioneers. https://www.ivow.ai/ourteam.html (Davar Ardalan), erfahrene und vielfach ausgezeichnete US-amerikanische Journalistin und Gründerin von IVOW AI. Dort trainiert sie gemeinsam mit ihrem Team KIs in kultureller Intelligenz.

Paul's been stuck in jail in Caesarea for a few years and now he faces a new administration. We'll see what changes this means for him and the gospel in chapter 25. Weekly Prayer Focus & Today's Verses Worship:  Acts 25: Acts 25 My evening Facebook posts focus on praying scripture. I'd love you to join the conversation there:  https://www.facebook.com/graceandthegravelroad/?eid=ARCg61S6YS1PwfD3586KvFAKYejoFjUYR51xO_BHv9xbo9L2063w_hFGdXmlNnjJV3qQ_nvmesJFJ9He (www.facebook.com/graceandthegravelroad) Or, connect with Grace & the Gravel Road out on Instagram: http://www.instagram.com/graceandthegravelroad (www.instagram.com/graceandthegravelroad) If you're interested in how to meditate on scripture, check out this link: https://graceandthegravelroad.link/meditate (https://graceandthegravelroad.link/meditate) http://www.graceandthegravelroad.com (www.graceandthegravelroad.com)

If bail decisions were made by an Artificial Intelligence instead of judges, repeat crime rates among applicants could be cut by 25%. That is because an AI is consistent in its judgements: human judges are not.   This variation in in bail decisions, as well as in sentencing, and many medical diagnoses and underwriting decisions are all examples of what Cass Sunstein calls "Noise" - unwanted variation in professional judgement, which is the theme of his new book Noise: A Flaw in Human Judgement, co authored with Danny Kahneman and Olivier Sibony. Professional judgement and discretion sound great in theory - especially to the professionals themselves - but in practice they end up creating a lottery in some high-stakes situations. He tells me why there should be statues of the legal reformer Marvin Frankel all across the land; how we can reduce the "creep factor" of AI decision-making; how early movers influence opinion especially through social media, and much more.  Cass Sunstein Cass Sunstein is a professor at Harvard Law School, as well as the founder and director of the Program on Behavioral Economics and Public Policy. He has written hundreds of articles and numerous books, ranging from constitutional law to Star Wars. He has also served in several government positions, formerly in the Office of Information and Regulatory Affairs in Obama's first administration and currently in the Department of Homeland Security to shape immigration laws. Sunstein's influence is wide-reaching, most notably from his work on advancing the field of behavioral economics, making him one of the most frequently cited scholars. He is also a recipient of the Holberg Prize and has several appointments in global organizations, including the World Health Organization.  More from Cass Sunstein Read “Noise: A Flaw in Human Judgement” co-authored with Daniel Kahneman and Olivier Sibony Read his widely influential 2008 book “Nudge: Improving Decisions About Health, Wealth, and Happiness,” co-authored with Richard Thaler, as well as his later book “Why Nudge? The Politics of Libertarian Paternalism”  Dig into his work on “norm cascades”, as well as how group polarization works in jury pools  Check out his previous work on jury behavior with Kahneman including “Assessing Punitive Damages” or “Are Juries Less Erratic than Individuals?”  Also mentioned Cass mentioned the 2007 asylum study by Schoenholtz, et al. titled “Refugee Roulette: Disparities in Asylum Adjudication” I referred to this NBER paper by Eren & Mocan showing that the behavior of judges can be influenced by arbitrary factors, including by the outcome of local sports games.  Cass brought up the work of Sendhil Mullainathan, which includes a study on “Human Decisions and Machine Predictions” and another on “Who Is Tested for Heart Attack and Who Should Be” We discussed the Sentencing Reform Act of 1984 which imposed guidelines for criminal sentencing but was essentially dismantled in a 2004 Supreme Court ruling  Learn more about the APGAR infant score  Jim Surowiecki, the author of “The Wisdom of Crowds,” discusses the weight of the cow parable on an episode of Planet Money Yet the wisdom of crowds phenomenon is often diminished when the group discusses their judgements and are exposed to social influence, as demonstrated by the study: “How social influence can undermine the wisdom of crowd effect”  In 2006, Duncan Watts, along with two co-authors, explored how early downloads were instrumental in predicting popularity in their article “Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market”  I quoted John Stuart Mill in Utilitarianism, “Men often, from infirmity of character, make their election for the nearer good, though they know it to be the less valuable”  Cass referred to Mill's harm principle, something he expands upon here. We also discussed Patrick Deneen's book “Why Liberalism Failed”  The Dialogues Team Creator: Richard Reeves Research: Ashleigh Maciolek Artwork: George Vaughan Thomas Tech Support: Cameron Hauver-Reeves Music: "Remember" by Bencoolen (thanks for the permission, guys!)

As artificial intelligence gets more and more powerful, the need becomes greater to ensure that machines do the right thing. But what does that even mean? Brian Christian joins Vasant Dhar in episode 13 of Brave New World to discuss, as the title of his new book goes, the alignment problem. Useful resources: 1. Brian Christian's homepage. 2. The Alignment Problem: Machine Learning and Human Values -- Brian Christian. 3. Algorithms to Live By: The Computer Science of Human Decisions -- Brian Christian and Tom Griffiths. 4. The Most Human Human -- Brian Christian. 5. How Social Media Threatens Society -- Episode 8 of Brave New World (w Jonathan Haidt). 6. Are We Becoming a New Species? -- Episode 12 of Brave New World (w Molly Crockett). 7. The Nature of Intelligence -- Episode 7 of Brave New World (w Yann le Cunn) 8. Some Moral and Technical Consequences of Automation -- Norbert Wiener. 9.Superintelligence: Paths, Dangers, Strategies -- Nick Bostrom. 10. Human Compatible: AI and the Problem of Control -- Stuart Russell. 11. OpenAI. 12. Center for Human-Compatible AI. 13. Concrete Problems in AI Safety -- Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, Dan Mané. 14. Machine Bias -- Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner. 15. Inherent Trade-Offs in the Fair Determination of Risk Scores -- Jon Kleinberg, Sendhil Mullainathan, Manish Raghavan. 16. Algorithmic Decision Making and the Cost of Fairness -- Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, Aziz Huq.. 17. Predictions Put Into Practice -- Jessica Saunders, Priscillia Hunt, John S. Hollywood 18. An Engine, Not a Camera: How Financial Models Shape Markets -- Donald MacKenzie. 19. An Anthropologist on Mars -- Oliver Sacks. 20. Deep Reinforcement Learning from Human Preferences -- Paul F Christiano, Jan Leike, Tom B Brown, Miljan Martic, Shane Legg, Dario Amadei for OpenAI & Deep Mind.

Hello and welcome to the Supply Chain Podcast. Thank you for joining us today, and don't forget to come back every Friday for new episodes featuring leaders in the supply chain. On this week's episode, I am joined by Mohneesh Saxena, the Senior Vice President of Product Strategy and Management at Locus. Locus is a global decision-making platform that automates human decision-making in the supply chain to provide efficiency, transparency and consistency in logistics operations. Don't forget to subscribe! Check out our socials: LinkedIn: @Supply Chain Digital Twitter: @SupplyChainD

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.10.21.345876v1?rss=1 Authors: Belkaid, M., Kompatsiari, K., de Tommaso, D., Zablith, I., Wykowska, A. Abstract: In most everyday life situations, the brain needs to engage not only in making decisions, but also in anticipating and predicting the behavior of others. In such contexts, gaze can be highly informative about others' intentions, goals and upcoming decisions. Here, we investigated whether a humanoid robot's gaze (mutual or averted) influences the way people strategically reason in a social decision-making context. Specifically, participants played a strategic game with the robot iCub while we measured their behavior and neural (EEG) activity. Participants were slower to respond when iCub established mutual gaze prior to their decision, relative to averted gaze. This was associated with a higher decision threshold in the drift diffusion model and accompanied by more synchronized EEG alpha activity. In addition, we found that participants reasoned about the robot's actions in both conditions. However, those who mostly experienced the averted gaze were more likely to adopt a self-oriented strategy and their neural activity showed higher sensitivity to outcome. Altogether, these findings suggest that robot gaze acts as a strong social signal for humans, modulating response times, decision threshold, neural synchronization, as well as choice strategies and sensitivity outcomes. This has strong implications for all contexts involving human-robot interaction, from robotics to clinical applications. Copy rights belong to original authors. Visit the link for more info

Peter Svarre, foredragsholder, forfatter og digital strateg og Søren Dahlgaard co-founder og ansvarlig for AI hos SupWiz gør os klogere på GPT3 og potentialer i machine learning. Vi dykker ned i teknologien og hvordan vi som mennesker og organisationer kan udnytte de nye muligheder. Hvordan skal vi realisere teknologiens potentialer? Hvad skal der være på plads i organisationen, så man meningsfuldt kan arbejde med bots? Det svarer gæsterne på. Vi perspektiver også udviklingen og får indblik i SupWiz' arbejde med at levere intelligent kundeservice. Noter: Link til mere om Peter Svarres arbejde inkl. bogen ‘Hvad skal vi med mennesker?': https://www.petersvarre.dk/ Link til SupWiz: https://www.supwiz.com/ Bøger om AI anbefalet af Lars K. Jensen - Twitter @larskjensen: ‘Gods and Robots' af Adrienne Mayor: https://www.amazon.com/Gods-Robots-Machines-Ancient-Technology/dp/0691183511 ‘Rebooting AI' af Gary Marcus og Ernest Davis: https://www.amazon.com/Rebooting-AI-Building-Artificial-Intelligence-ebook/dp/B07MYLGQLB ‘The Creativity Code' af Marcus du Sautoy: https://www.amazon.co.uk/Creativity-Code-Marcus-du-Sautoy/dp/0008288151 ‘Algorithms to Live By: The Computer Science of Human Decisions' af Brian Christian og Tom Griffiths: https://www.amazon.com/Algorithms-Live-Computer-Science-Decisions/dp/1627790365 Vært og tilrettelæggelse: Mathias Lund Schjøtz

A fascinating exploration of how computer algorithms can be applied to our everyday lives.In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. Modern life is constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? The authors explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others.From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms To Live By is full of practical takeaways to help you solve common decision-making problems and illuminate the workings of the human mind. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/pbliving/message Support this podcast: https://anchor.fm/pbliving/support

Aoife Marron, Qualitative Director talks to RED C Ireland Director, Jimmy Larsen, about the importance of understanding how human beings really behave, applying behavioural economics and using this in market research, helps to better inform marketeers correctly on how best to influence decisions and choices.

Mitch Meyer delivers a message based on the first few chapters in the book of Genesis.

Steph is the Head of Publications at Toptal, a serial maker, and a supporter of women in technology.  Outside of leading a remote team of a few dozen, she is a self-taught developer that builds projects related to women in technology, remote work, and self-improvement.    She’s launched products that have hit #1 on Product Hunt, articles that have trended the top of Hacker News, and was nominated for Maker of the Year in 2018.  She actively supports women in technology by speaking about the psychology behind inclusion and through building resources like FeMake and is a judge for the Toptal Women’s Scholarship.   On today's episode we discuss some of the best practices for managing remote teams based on her recent blog post."Managing Remote Teams: A Psychological Perspective." Continue on for a great discussion with Steph.   Contact Info: Personal website: https://stephsmith.io Twitter: >?q=https://twitter.com/stephsmithio&source=gmail&ust=1554743123782000&usg=AFQjCNFW2gh0QlgMfBOjUSeqUQrZvcDJbw">https://twitter.com/stephsmithio LinkedIn: https://www.linkedin.com/in/stephaniesmith93/     Show Notes:   Steph's Awesome Book List   Best Practices for Managing Remote Teams: A Psychological Perspective   Thanks for the Feedback    Radical Candor   Algorithms to Live By: The Computer Science of Human Decisions   Give and Take: Why Helping Others Drives Our Success   The Four Tendencies: The Indispensable Personality Profiles That Reveal How to Make Your Life Better (and Other People's Lives Better, Too)  

My guest this week is unique and so requires a short story. I met our guest Michael Mayer because of twitter. I followed and enjoyed one of several pseudonymous accounts that he maintains to experiment with ideas. His various accounts have wide followings. I think many of the best accounts on twitter are anonymous or pseudonymous, and I’ve always made a point to get to know the ones I like best. As it turns out, Michael was also an entrepreneur. He’d been building a new company and was raising a small amount of outside capital. I didn’t invest personally, in part because he raised it so quickly after I spoke with him. Ever since, I’ve gotten to know him better and followed his company, Bottomless, with interest. You know that I am always hyper transparent about any potential conflicts of interest, so it’s worth noting that while I am not an investor in this company, I expect to be at some point in the future. The topic of our conversation is both his social media activity and his company. I am a coffee fanatic, and the problem he is solving is one I live. I order a weekly bag of coffee beans, but I often have too much coffee or run out. Bottomless solves this by shipping you a simple scale which you keep wherever you store your coffee, connect to your Wi-Fi, and set your bag of coffee on. It automatically orders new coffee for you at the right time. Thus the name: Bottomless. If you like the conversation, check out bottomless.com  With this podcast, all I’m really trying to do is find, meet, and learn from interesting people. Michael certainly qualifies. I hope you enjoy this unique episode.   For more episodes go to InvestorFieldGuide.com/podcast. Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub. Follow Patrick on Twitter at @patrick_oshag   Show Notes 2:06 - (First Question) – Why he writes under a pseudonym online 2:58 – Positive impacts of writing this way 3:45 – His background 5:02 – Habits he improved upon 7:03 – Where did his exploration into technology and start-ups come from             7:33 – Algorithms to Live By: The Computer Science of Human Decisions 10:32 – Elements of business that interest him most 13:26 – Building social capital vs the current state of education 17:06 – What information does he like to consume             18:17 – Zero to One: Notes on Startups, or How to Build the Future             18:34 – Jerry Neumann blog Reaction Wheel | Podcast episode             18:39 – Kevin Simler’s blog  Melting Asphalt| Podcast Episode 21:01 – Why the current education system is busted 22:54 – Formation of his business 24:04 – Importance of making things legible 25:54 – On demand delivery vs subscription business models 30:16 – Early day in developing the scale for his business 33:50 – What he learned about coffee roasters 35:29 – thoughts on supplier power 36:17 – The customer relationship 39:50 – Best objections to his business 41:58 – Biggest operational/emotional challenges 42:56 – Best moment 44:39 – Time at Y combinator 46:28 – His unique co-founder story 49:47 – Marketing strategies and acquisition costs 51:37 – The idea of a commercial loop 53:27 – Discarded ideas, such as spaced repetition social networks 57:38 – Having a long-term plan vs reformatting a business into success 1:00:35 – What works on twitter based on his experience 1:03:09 – Most controversial opinion 1:05:59 – Kindest thing anyone has done   Learn More For more episodes go to InvestorFieldGuide.com/podcast.  Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub Follow Patrick on twitter at @patrick_oshag

01:49 – Maurice’s Superpower: Extreme Empathy Function Podcast w/ Anil Dash (https://glitch.com/culture/function/) 04:06 – Code Switching 13:21 – Creating and Fostering Safe Conference Environments 19:34 – Overcoming Feelings of Discomfort 22:16 – Human Decisions in Software: Why We Should Care 31:57 – Trust: How We’ve Lost It and How Should We Re-establish It? A Developer Relations Bill of Rights (https://medium.com/glitch/a-developer-relations-bill-of-rights-21381920e273) AngelList (https://angel.co/) 41:24 – Establishing Trust in a Company From the Ground Up: Glitch 47:03 – Diversity in Design and Shifting Your Mindset From a Creator to a Chronicler Kim Goulbourne (https://medium.com/@kimgoulbourne) Ekpemi Anni (https://revisionpath.com/ekpemi-anni/) Senongo Akpem (https://revisionpath.com/senongo-akpem/)   Reflections: John: It’s useful to think about code switching in context of my own behavior and using it as a practice for increasing empathy by trying to determine if other people are code switching in a certain situation. Janelle: Putting myself in an outsider situation. Jess: Storytelling and experience creating. Astrid: Parents encouraging young creators. Maurice: We all have more work to do and we all have privileges we are blind to. Are you Greater Than Code? This episode was brought to you by @therubyrep (https://twitter.com/therubyrep) of DevReps, LLC (http://www.devreps.com/). To pledge your support and to join our awesome Slack community, visit patreon.com/greaterthancode (https://www.patreon.com/greaterthancode). To make a one-time donation so that we can continue to bring you more content and transcripts like this, please do so at paypal.me/devreps (https://www.paypal.me/devreps). You will also get an invitation to our Slack community this way as well. Amazon links may be affiliate links, which means you’re supporting the show when you purchase our recommendations. Thanks! Special Guest: Maurice Cherry.

Thanks very much to Justin Bolger, Social Media Strategist at Lucasfilm, for helping me look at the decisions made - especially by Poe Dameron - in a new and more charitable light. If you remove the value judgments, there are no "good" or "bad" decisions. There's just "human" decisions, as Justin put it. Today, I'm taking a look at how those all-too-human decisions nearly caused the death of the Resistance. Punch it! ***I'm listener supported! Go to http://Patreon.com/sw7x7 to donate to the Star Wars 7x7 podcast, and you’ll get some fabulous rewards for your pledge.***  Check out SW7x7.com for full Star Wars 7x7 show notes and links, and to comment on any of the content of this episode! If you like what you've heard, please leave me a rating or review on iTunes or Stitcher, which will also help more people discover this Star Wars podcast. Don't forget to join the Star Wars 7x7 fun on Facebook at Facebook.com/SW7x7, and follow the breaking news Twitter feed at Twitter.com/SW7x7Podcast. I'm also on Pinterest and Instagram as "SW7x7" too, and I'd love to connect with you there!

JSJ 270 The Complete Software Developers Career Guide with John Sonmez This episode features a panel of Joe Eames, AJ O’Neal, as well as host Charles Maxwell. Special guest John Sonmez runs the website SimpleProgrammer.com that is focused on personal development for software developers. He works on career development and improving the non-technical life aspects of software developers. Today’s episode focuses on John’s new book The Complete Software Developers Career Guide. Did the book start out being 700 pages? No. My goal was 200,000 words. During the editing process a lot of questions came up, so pages were added. There were side sections called “Hey John” to answer questions that added 150 pages. Is this book aimed at beginners? It should be valuable for three types of software developers: beginner, intermediate, and senior developers looking to advance their career. The book is broken up into five sections, which build upon each other. These sections are: - How to get started as a software developer - How to get a job and negotiate salary - The technical skills needed to know to be a software developer - How to work as a software developer - How to advance in career Is it more a reference book, not intended to read front to back? The book could be read either way. It is written in small chapters. Most people will read it start to finish, but it is written so that you can pick what you’re interested in and each chapter still makes sense by itself. Where did you come up with the idea for the book? It was a combination of things. At the time I wanted new blog posts, a new product, and a new book. So I thought, “What if I wrote a book that could release chapters as blog posts and could be a product later on?” I also wanted to capture everything I learned about software development and put it on paper so that didn’t lose it. What did people feel like they were missing (from Soft Skills) that you made sure went into this book? All the questions that people would ask were about career advice. People would ask things regarding: - How do I learn programming? - What programming language should I learn? - Problems with co-workers and boss - Dress code What do you think is the most practical advice from the book for someone just getting started? John thinks that the most important thing to tell people is to come up with a plan on how you’re going to become educated in software development. And then to decide what you’re going to pursue. People need to define what they want to be. After that is done, go backwards and come up with a plan in order to get there. If you set a plan, you’ll learn faster and become a valuable asset to a team. Charles agrees that this is how to stay current in the job force. What skills do you actually need to have as a developer? Section 3 of the book answers this question. There was some frustration when beginning as a software developer, so put this list together in the book. - Programming language that you know - Source control understanding - Basic testing - Continuous integration and build systems - What kinds of development (web, mobile, back end) - Databases - Sequel Were any of those surprises to you? Maybe DevOps because today’s software developers need to, but I didn’t need to starting out. We weren’t involved in production. Today’s software developers need to understand it because they will be involved in those steps. What do you think is the importance of learning build tools and frameworks, etc. verses learning the basics? Build tools and frameworks need to be understood in order to understand how your piece fits into the bigger picture. It is important to understand as much as you can of what’s out there. The basics aren’t going to change so you should have an in depth knowledge of them. Problems will always be solved the same way. John wants people to have as few “unknown unknowns” as possible. That way they won’t be lost and can focus on more timeless things. What do you think about the virtues of self-taught verses boot camp verses University? This is the first question many developers have so it is addressed it in the book. If you can find a good coding boot camp, John personally thinks that’s the best way. He would spend money on boot camp because it is a full immersion. But while there, you need to work as hard as possible to soak up knowledge. After a boot camp, then you can go back and fill in your computer science knowledge. This could be through part time college classes or even by self-teaching. Is the classic computer science stuff important? John was mostly self-taught; he only went to college for a year. He realized that he needed to go back and learn computer science stuff. Doesn’t think that there is a need to have background in computer science, but that it can be a time saver. A lot of people get into web development and learn React or Angular but don’t learn fundamentals of JavaScript. Is that a big mistake? John believes that it is a mistake to not fully understand what you’re doing. Knowing the function first, knowing React, is a good approach. Then you can go back and learn JavaScript and understand more. He states that if you don’t learn the basics, you will be stunted and possibly solve things wrong. Joe agrees with JavaScript, but not so much with things algorithms. He states that it never helped him once he went back and learned it. John suggests the book Algorithms to Live By – teaches how to apply algorithms to real life. Is there one question you get asked more than anything else you have the answer to in the book? The most interesting question is regarding contract verses salary employment and how to compare them. It should all be evaluated based on monetary value. Salary jobs look good because of benefits. But when looking at pay divided by the hours of work, usually a salary job is lower paid. This is because people usually work longer hours at salary jobs without being paid for it. What’s the best place for people to pick up the book? simpleprogrammer.com/careerguide and it will be sold on Amazon. The book will be 99 cents on kindle – want it to be the best selling software development book ever. Picks Joe Wonder Woman AJ The Alchemist Charles Artificial Intelligence with Python John Algorithms to Live by: The Computer Science of Human Decisions Apple Airpods Links Simple Programmer Youtube

JSJ 270 The Complete Software Developers Career Guide with John Sonmez This episode features a panel of Joe Eames, AJ O’Neal, as well as host Charles Maxwell. Special guest John Sonmez runs the website SimpleProgrammer.com that is focused on personal development for software developers. He works on career development and improving the non-technical life aspects of software developers. Today’s episode focuses on John’s new book The Complete Software Developers Career Guide. Did the book start out being 700 pages? No. My goal was 200,000 words. During the editing process a lot of questions came up, so pages were added. There were side sections called “Hey John” to answer questions that added 150 pages. Is this book aimed at beginners? It should be valuable for three types of software developers: beginner, intermediate, and senior developers looking to advance their career. The book is broken up into five sections, which build upon each other. These sections are: - How to get started as a software developer - How to get a job and negotiate salary - The technical skills needed to know to be a software developer - How to work as a software developer - How to advance in career Is it more a reference book, not intended to read front to back? The book could be read either way. It is written in small chapters. Most people will read it start to finish, but it is written so that you can pick what you’re interested in and each chapter still makes sense by itself. Where did you come up with the idea for the book? It was a combination of things. At the time I wanted new blog posts, a new product, and a new book. So I thought, “What if I wrote a book that could release chapters as blog posts and could be a product later on?” I also wanted to capture everything I learned about software development and put it on paper so that didn’t lose it. What did people feel like they were missing (from Soft Skills) that you made sure went into this book? All the questions that people would ask were about career advice. People would ask things regarding: - How do I learn programming? - What programming language should I learn? - Problems with co-workers and boss - Dress code What do you think is the most practical advice from the book for someone just getting started? John thinks that the most important thing to tell people is to come up with a plan on how you’re going to become educated in software development. And then to decide what you’re going to pursue. People need to define what they want to be. After that is done, go backwards and come up with a plan in order to get there. If you set a plan, you’ll learn faster and become a valuable asset to a team. Charles agrees that this is how to stay current in the job force. What skills do you actually need to have as a developer? Section 3 of the book answers this question. There was some frustration when beginning as a software developer, so put this list together in the book. - Programming language that you know - Source control understanding - Basic testing - Continuous integration and build systems - What kinds of development (web, mobile, back end) - Databases - Sequel Were any of those surprises to you? Maybe DevOps because today’s software developers need to, but I didn’t need to starting out. We weren’t involved in production. Today’s software developers need to understand it because they will be involved in those steps. What do you think is the importance of learning build tools and frameworks, etc. verses learning the basics? Build tools and frameworks need to be understood in order to understand how your piece fits into the bigger picture. It is important to understand as much as you can of what’s out there. The basics aren’t going to change so you should have an in depth knowledge of them. Problems will always be solved the same way. John wants people to have as few “unknown unknowns” as possible. That way they won’t be lost and can focus on more timeless things. What do you think about the virtues of self-taught verses boot camp verses University? This is the first question many developers have so it is addressed it in the book. If you can find a good coding boot camp, John personally thinks that’s the best way. He would spend money on boot camp because it is a full immersion. But while there, you need to work as hard as possible to soak up knowledge. After a boot camp, then you can go back and fill in your computer science knowledge. This could be through part time college classes or even by self-teaching. Is the classic computer science stuff important? John was mostly self-taught; he only went to college for a year. He realized that he needed to go back and learn computer science stuff. Doesn’t think that there is a need to have background in computer science, but that it can be a time saver. A lot of people get into web development and learn React or Angular but don’t learn fundamentals of JavaScript. Is that a big mistake? John believes that it is a mistake to not fully understand what you’re doing. Knowing the function first, knowing React, is a good approach. Then you can go back and learn JavaScript and understand more. He states that if you don’t learn the basics, you will be stunted and possibly solve things wrong. Joe agrees with JavaScript, but not so much with things algorithms. He states that it never helped him once he went back and learned it. John suggests the book Algorithms to Live By – teaches how to apply algorithms to real life. Is there one question you get asked more than anything else you have the answer to in the book? The most interesting question is regarding contract verses salary employment and how to compare them. It should all be evaluated based on monetary value. Salary jobs look good because of benefits. But when looking at pay divided by the hours of work, usually a salary job is lower paid. This is because people usually work longer hours at salary jobs without being paid for it. What’s the best place for people to pick up the book? simpleprogrammer.com/careerguide and it will be sold on Amazon. The book will be 99 cents on kindle – want it to be the best selling software development book ever. Picks Joe Wonder Woman AJ The Alchemist Charles Artificial Intelligence with Python John Algorithms to Live by: The Computer Science of Human Decisions Apple Airpods Links Simple Programmer Youtube

JSJ 270 The Complete Software Developers Career Guide with John Sonmez This episode features a panel of Joe Eames, AJ O’Neal, as well as host Charles Maxwell. Special guest John Sonmez runs the website SimpleProgrammer.com that is focused on personal development for software developers. He works on career development and improving the non-technical life aspects of software developers. Today’s episode focuses on John’s new book The Complete Software Developers Career Guide. Did the book start out being 700 pages? No. My goal was 200,000 words. During the editing process a lot of questions came up, so pages were added. There were side sections called “Hey John” to answer questions that added 150 pages. Is this book aimed at beginners? It should be valuable for three types of software developers: beginner, intermediate, and senior developers looking to advance their career. The book is broken up into five sections, which build upon each other. These sections are: - How to get started as a software developer - How to get a job and negotiate salary - The technical skills needed to know to be a software developer - How to work as a software developer - How to advance in career Is it more a reference book, not intended to read front to back? The book could be read either way. It is written in small chapters. Most people will read it start to finish, but it is written so that you can pick what you’re interested in and each chapter still makes sense by itself. Where did you come up with the idea for the book? It was a combination of things. At the time I wanted new blog posts, a new product, and a new book. So I thought, “What if I wrote a book that could release chapters as blog posts and could be a product later on?” I also wanted to capture everything I learned about software development and put it on paper so that didn’t lose it. What did people feel like they were missing (from Soft Skills) that you made sure went into this book? All the questions that people would ask were about career advice. People would ask things regarding: - How do I learn programming? - What programming language should I learn? - Problems with co-workers and boss - Dress code What do you think is the most practical advice from the book for someone just getting started? John thinks that the most important thing to tell people is to come up with a plan on how you’re going to become educated in software development. And then to decide what you’re going to pursue. People need to define what they want to be. After that is done, go backwards and come up with a plan in order to get there. If you set a plan, you’ll learn faster and become a valuable asset to a team. Charles agrees that this is how to stay current in the job force. What skills do you actually need to have as a developer? Section 3 of the book answers this question. There was some frustration when beginning as a software developer, so put this list together in the book. - Programming language that you know - Source control understanding - Basic testing - Continuous integration and build systems - What kinds of development (web, mobile, back end) - Databases - Sequel Were any of those surprises to you? Maybe DevOps because today’s software developers need to, but I didn’t need to starting out. We weren’t involved in production. Today’s software developers need to understand it because they will be involved in those steps. What do you think is the importance of learning build tools and frameworks, etc. verses learning the basics? Build tools and frameworks need to be understood in order to understand how your piece fits into the bigger picture. It is important to understand as much as you can of what’s out there. The basics aren’t going to change so you should have an in depth knowledge of them. Problems will always be solved the same way. John wants people to have as few “unknown unknowns” as possible. That way they won’t be lost and can focus on more timeless things. What do you think about the virtues of self-taught verses boot camp verses University? This is the first question many developers have so it is addressed it in the book. If you can find a good coding boot camp, John personally thinks that’s the best way. He would spend money on boot camp because it is a full immersion. But while there, you need to work as hard as possible to soak up knowledge. After a boot camp, then you can go back and fill in your computer science knowledge. This could be through part time college classes or even by self-teaching. Is the classic computer science stuff important? John was mostly self-taught; he only went to college for a year. He realized that he needed to go back and learn computer science stuff. Doesn’t think that there is a need to have background in computer science, but that it can be a time saver. A lot of people get into web development and learn React or Angular but don’t learn fundamentals of JavaScript. Is that a big mistake? John believes that it is a mistake to not fully understand what you’re doing. Knowing the function first, knowing React, is a good approach. Then you can go back and learn JavaScript and understand more. He states that if you don’t learn the basics, you will be stunted and possibly solve things wrong. Joe agrees with JavaScript, but not so much with things algorithms. He states that it never helped him once he went back and learned it. John suggests the book Algorithms to Live By – teaches how to apply algorithms to real life. Is there one question you get asked more than anything else you have the answer to in the book? The most interesting question is regarding contract verses salary employment and how to compare them. It should all be evaluated based on monetary value. Salary jobs look good because of benefits. But when looking at pay divided by the hours of work, usually a salary job is lower paid. This is because people usually work longer hours at salary jobs without being paid for it. What’s the best place for people to pick up the book? simpleprogrammer.com/careerguide and it will be sold on Amazon. The book will be 99 cents on kindle – want it to be the best selling software development book ever. Picks Joe Wonder Woman AJ The Alchemist Charles Artificial Intelligence with Python John Algorithms to Live by: The Computer Science of Human Decisions Apple Airpods Links Simple Programmer Youtube

Look before you leap. We’ve all heard this piece of advice. But is it helpful? Whether considering trivial matters, like trying to find a parking spot or weighing life-changing decisions like choosing a spouse, it’s difficult to find the balance between passing up a great opportunity or making a choice too quickly. Author Brian Christian and cognitive scientist Tom Griffiths have teamed up to bring you a statistically tested formula for decision-making. In Algorithms to Live By: The Computer Science of Human Decisions, they explore the way that algorithms can be applied to our everyday lives to help us know exactly how long we should look before we leap. They will talk about how these algorithms designed for computers can also untangle our human questions.  Buy the book Recorded live at Town Hall Seattle Monday, April 10, 2017

What would a cut in corporate taxes mean for investors? Which stocks will benefit most from the new administration? Our analysts tackle those questions and discuss investing for income. Plus, we revisit our conversation with Brian Christian, author of Algorithms to Lie By: The Computer Science of Human Decisions. To check out our brand new service, Motley Fool Total Income, go to TotalIncomeRadio.Fool.com .    

BRIAN CHRISTIAN is the author of The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive, and coauthor (with Tom Griffiths) of Algorithms to Live By: The Computer Science of Human Decisions. Brian Christian's Edge Bio Page (https://www.edge.org/memberbio/brian_christian) The conversation: https://www.edge.org/conversation/brian_christian-how-should-a-society-be

My guest today is Brian Christian, an American non-fiction author, poet, programmer and researcher, best known for the two bestselling books The Most Human Human (2011) and Algorithms to Live By (2016). The topic is his book Algorithms to Live By: The Computer Science of Human Decisions. In this episode of Trend Following Radio we discuss: Optimal stopping What is an algorithm Process vs. Outcome The explore, exploit trade off The multi-arm bandit problem Win stay, lose shift Regret minimization framework Frequency and intensity of mistakes related to age Upper confidence bound algorithm Threading Jump in! --- I'm MICHAEL COVEL, the host of TREND FOLLOWING RADIO, and I'm proud to have delivered 10+ million podcast listens since 2012. Investments, economics, psychology, politics, decision-making, human behavior, entrepreneurship and trend following are all passionately explored and debated on my show. To start? I'd like to give you a great piece of advice you can use in your life and trading journey… cut your losses! You will find much more about that philosophy here: https://www.trendfollowing.com/trend/ You can watch a free video here: https://www.trendfollowing.com/video/ Can't get enough of this episode? You can choose from my thousand plus episodes here: https://www.trendfollowing.com/podcast My social media platforms: Twitter: @covel Facebook: @trendfollowing LinkedIn: @covel Instagram: @mikecovel Hope you enjoy my never-ending podcast conversation!

Brian Christian, co-author of “Algorithms to Live By: The Computer Science of Human Decisions,” is on today’s podcast. The book shows how common algorithms relate to our everyday lives. Brian starts off giving a historical explanation of an “algorithm”. Algorithms do not just relate to computers or mathematical procedures. A cooking recipe can be described as an algorithm or you could use an algorithm to solve the question, “How do you know when your best opportunity is?” Brian says you use an algorithm known as “optimal stopping” to solve this question. He explains the algorithm that provides the best probability of the best outcome. Probability is the next. Is it worth exploring a new business possibility? Or is it better to hone in your skills and continue on with what you are doing? There is a formal framework or algorithm to help make these decisions. Brian explains the “win stay, lose shift” approach. If a restaurant is good, go back. If you don’t have a good experience, don’t go back. It may not be the optimal approach but it is a good approach and easy to live by. Michael jumps to an example with Jeff Bezos, the CEO of Amazon. Brian tells Jeff’s story of Amazon and how he left his successful job at the time to start up this “online bookstore”. He ultimately used a “regret minimization framework” to make his decision. There was a possibility Jeff may not have been successful starting Amazon, but had he not tried it, he would have regretted not trying for the rest of his life. Brian also gives other examples of regret minimization algorithms. Michael and Brian discuss threading next. Lastly, Michael brings up the “searching vs. sorting conundrum” that Brian discusses thoroughly in his book. Brian gives examples about sorting through information on the computer. He says that people should ask themselves “Should you be sorting at all?” Brian explains why “messy” is sometimes better. In this episode of Trend Following Radio: Optimal stopping What is an algorithm Process vs. Outcome The explore, exploit trade off The multi-arm bandit problem Win stay, lose shift Regret minimization framework Frequency and intensity of mistakes related to age Upper confidence bound algorithm Threading

How can the techniques of computer science help us in everyday life? We speak to Brian Christian co-author of ‘Algorithms to Live by: The Computer Science of Human Decisions’. He argues that the techniques of computer science can help us manage everyday situations in a more logical and efficient manner. So which algorithm can help solve the problem of odd socks? And what is the most efficient way of alphabetising your book collection? Tim Harford investigates.

Many news outlets have reported this week that a Waitrose supermarket pushes up house prices in the surrounding area. It’s based on research that also suggests that other supermarkets have a similar but smaller effect. We take a highly sceptical look at the correlation. Statistics and the EU referendum campaign We look at how the two campaigns, the media, and the much-discussed “experts” used statistics during the EU referendum campaign. Tim Harford interviews Will Moy, director of Fullfact, and Paul Johnson, director of the Institute for Fiscal Studies. Antiques Roadshow BBC One’s Antiques Roadshow is a hugely popular television programme, where experts examine and value antiques and collectables. We ask whether the items featured really jump in value, or are we just seeing the price tag rise over the centuries in line with inflation? More Or Less reporter Charlotte McDonald heads down to the show to find out. Computer Science and Socks Tim Harford speaks to Brian Christian, co-author of ‘Algorithms to Live by: The Computer Science of Human Decisions’. How can the techniques of computer science help us in every-day situations? And, most importantly, which algorithm will help our reporter Jordan Dunbar sort out his socks?

It is possible to be extremely astute about how we manage difficult decisions. With just a few mental tools we get the benefit of better outcomes along with release from agonizing about the process of deciding. Many mental tools—algorithms—developed with obligatory clarity for computers turn out to have ready application for humans facing such problems as: when to stop hunting for an apartment (or lover); how much novelty to seek; how to get rid of the right stuff; how to allot scarce time; how to consider the future; when to relax constraints; how to give chance a chance; how to recognize when you’re playing the wrong game; and how to make decisions easier for others (“computational kindness”). Brian Christian, the co-author of Algorithms to Live By: The Computer Science of Human Decisions, lives in San Francisco, deploying his degrees in philosophy, computer science, and poetry.

A conversation with Tom Griffiths, co-author along with Brian Christian of ALGORITHMS TO LIVE BY: THE COMPUTER SCIENCE OF HUMAN DECISIONS. He explains "overfitting" and "the secretary problem" and the 37% rule.