Podcasts about Implicit

Kelly sits across the table from Robert Bordone and Dr. Joel Salinas who have written the new book “Conflict Resilience: Negotiating Disagreement Without Giving Up or Giving In.”  “The hard truth is that conflict isn't the problem. We are.”  “Conflict resilience is not comfortable.”  “Implicit bias – kills our curiosity and blunts our ability to listen […]

In this episode of the Additive Snack Podcast, host Fabian Alefeld welcomes Brad Rothenberg, CEO and founder of nTop, formerly known as nTopology. They discuss the evolution of additive manufacturing and nTop's role over the past three to four years. Topics include the founding story of nTop, the concept of implicit modeling, and how design tools have rapidly changed. Brad shares insights on using nTop for aviation design, thermal management, and heat exchanger design, pointing out the shift from traditional CAD to innovative parametric modeling for effective engineering solutions. They also explore the future impact of AI on engineering and how nTop is integrating AI to enhance design processes. The episode closes with a look at educational resources and training for engineers new to nTop. 1:37 The Founding Story of nTop 05:07 Implicit Modeling and Design Evolution 10:22 nTop's Impact on the Aviation Industry 19:32 Thermal Management and Heat Exchangers 31:05 Recreating Existing Models in nTop  2:16 Intern Projects: Building Gliders and Drones 33:44 Understanding Process Knowledge in 3D Printing 34:59 Custom Blocks and Design Rules in nTop 37:08 N Top's Role in Legacy and New Designs 38:17 Future Roadmap: Integration and Simulation 44:16 AI and Machine Learning in nTop 57:54 Lowering Barriers for Engineers 

https://scp-wiki.wikidot.com/scp-6462Written by: MontagueETCSummary: The Foundation discovers a hidden dimension containing one of the Scarlet King's brides.Support the Patreon to see Exploring videos early and vote on new ones!: http://bit.ly/1U9QkPhJoin the Discord!: https://discord.gg/beRYZgbbgPSupport the Series with official Merch!: https://t.co/aH0HApXp7vFollow me on Twitter for updates!: https://twitter.com/TES_ManggListen on Podcasts: https://anchor.fm/theexploringseriesExploring SCP Foundation Playlist: https://bit.ly/2whu8NAExploring Dungeons and Dragons Playlist: https://bit.ly/348IZZuExploring Warhammer 40k Playlist: https://bit.ly/2DoFZguExploring Celtic Mythology Playlist: https://bit.ly/2rTuHLmExploring Norse Mythology Playlist: http://bit.ly/2EAHTdaExploring Elder Scrolls Playlist: http://bit.ly/2fgqQoYExploring Star Wars Playlist: http://bit.ly/2lNtlN0Exploring Middle-Earth Playlist: http://bit.ly/2cGNctyExploring the Cthulhu Mythos Playlist: http://bit.ly/25OI9jYExploring History Playlist: https://bit.ly/2w7XMqMVideo Game Stories Playlist: https://bit.ly/3hhgbqKMy Gaming Channel: youtube.com/user/ManggsLPsThumbnail:Maksym Harahulin: https://www.artstation.com/maksymharahulinMusic: https://www.youtube.com/watch?v=eacl38ZvTSEContent relating to the SCP Foundation, including the SCP Foundation logo, is licensed under Creative Commons Sharealike 3.0 and all concepts originate from http://www.scp-wiki.net and its authors. This video, being derived from this content, is hereby also released under Creative Commons Sharealike 3.0.

Hello, my beautiful friends—this week, we go deep. Not just into the roots of fear, but into the bold, often quiet heartbeat of courage. Inspired by Memorial Day and those I call the Maesters of bravery—from Grandma Gatewood's canvas shoes on the Appalachian Trail to my own personal moments of standing in fear and choosing love—we explore how real courage doesn't mean the fear disappears. It means something else matters more. And yes, that something is often love. In this episode, I share practical, research-backed tools to help you access your own courage—no matter how loud the fear feels. From hiking updates to history's unsung heroes (hello Sherpa Tenzing!), from family memories to the neuroscience of bravery, I hope this one sparks something in you. If it does, please share it. We all need reminders of our light.Reference:1.    Rate, C. R., Clarke, J. A., Lindsay, D. R., & Sternberg, R. J. (2007). Implicit theories of courage. The Journal of Positive Psychology, 2(2), 80–98. https://doi.org/10.1080/174397607012288132.    Neff, K. D., & Germer, C. K. (2013). A pilot study and randomized controlled trial of the mindful self‐compassion program. Journal of Clinical Psychology, 69(1), 28–44. https://doi.org/10.1002/jclp.21923 Learn more about Stoic Maester Ryan Holiday and subscribe to his newsletter at:https://ryanholiday.net/ • The Daily Stoic Newsletter Quote of the Week“True heroism shames us. Humbles us. It moves us beyond reason—because it came from something beyond reason... We fail them and we fail ourselves if we don't wrestle with the meaning of this sacrifice.” – Ryan Holiday Let's go, let's get it done. Get more information at: http://projectweightloss.org

Ryan Dunlevy and Rob Dunham discuss: Box office updateImplicit association: Movie StyleMission Impossible: The Final Reckoning WatchlistFilmforFans.com

Müssen wir unsere Gefühle immer alle verarbeiten? Oder reicht es, wenn wir sie einfach nur verändern? Leon und Atze sitzen heute an den Reglern unserer Gefühle und zeigen, wie wir Musik, Raum, Zeit, soziale Beziehungen oder Kultur zur Emotionsregulation nutzen können. Immer mit dem Ziel, sich nicht von unseren Gefühlen steuern zu lassen, sondern selbst Einfluss auf deren Verlauf zu nehmen. Fühlt euch gut betreut Leon & Atze Instagram: https://www.instagram.com/leonwindscheid/ https://www.instagram.com/atzeschroeder_offiziell/ Mehr zu unseren Werbepartnern findet ihr hier: https://linktr.ee/betreutesfuehlen Tickets: Atze: https://www.atzeschroeder.de/#termine Leon: https://leonwindscheid.de/tour/ Start ins heutige Thema: 09:00 min. Podcastempfehlung: Carl Jakob Haupt im Hotel Matze Wichtige Links: Artikel in der New York Times: https://www.nytimes.com/2025/02/06/well/how-to-change-your-mood.html Der Autor Ethan Kross: https://lsa.umich.edu/psych/people/faculty/ekross.html Dunedin-Studie: https://dunedinstudy.otago.ac.nz/files/1571970023782.pdf Die Studie zur Selbstkontrolle: Moffitt, T. E., Poulton, R., & Caspi, A. (2013). Lifelong impact of early self-control: Childhood self-discipline predicts adult quality of life. American Scientist, 101(5), 352-360. https://dunedinstudy.otago.ac.nz/files/1571970023782.pdf Veränderbarkeit der Emotionen: Tamir, M., John, O. P., Srivastava, S., & Gross, J. J. (2007). Implicit theories of emotion: affective and social outcomes across a major life transition. Journal of personality and social psychology, 92(4), 731.https://www.researchgate.net/publication/6360018_Implicit_Theories_of_Emotion_Affective_and_Social_Outcomes_Across_a_Major_Life_Transition Warum wir Musik hören: Lonsdale, A. J., & North, A. C. (2011). Why do we listen to music? A uses and gratifications analysis. British journal of psychology, 102(1), 108-134. Resilienz durch Flexibilität: Bonanno, G. A., Chen, S., & Galatzer-Levy, I. R. (2023). Resilience to potential trauma and adversity through regulatory flexibility. Nature Reviews Psychology, 2(11), 663-675. https://www.tc.columbia.edu/faculty/gab38/faculty-profile/files/2023_Bonanno-et-al._NATURE-REVIEWS-PSYCHOLOGY.pdf Studie zum Selbstgespräch: Moser, J. S., Dougherty, A., Mattson, W. I., Katz, B., Moran, T. P., Guevarra, D., ... & Kross, E. (2017). Third-person self-talk facilitates emotion regulation without engaging cognitive control: Converging evidence from ERP and fMRI. Scientific reports, 7(1), 4519. https://www.nature.com/articles/s41598-017-04047-3 Temporal Distancing: Bruehlman-Senecal, E., Ayduk, Ö., & John, O. P. (2016). Taking the long view: Implications of individual differences in temporal distancing for affect, stress reactivity, and well-being. Journal of Personality and Social Psychology, 111(4), 610. Die WOOP Website: https://woopmylife.org/ Redaktion: Andy Hartard Produktion: Murmel Productions

Content Warning: This episode discusses, in non-graphic terms, representing intimate partner violence survivors. Being a trial lawyer is one of the toughest, most demanding professions out there, and when you're representing family members in distress it's even more so. Hofstra Law professor Barbara Barron discusses advocacy challenges faced by lawyers working with survivors of intimate partner violence, or IPV. Although some details are particular to IPV survivor representation, trial lawyers in nearly every practice area will find Barbara's reflections on supporting reluctant or intimidated witnesses during testimony, dealing with pro se opposing counsel, and handling emotional witnesses or clients to be applicable to their own high-stakes cases. Topics4:00  What is IPV?  6:56  How IPV survivors differ from other crime victims11:23  Implicit biases judges or jurors might have about IPV  12:24  Types of evidence14:39  Special accommodations against intimidation16:09  Defendant as pro se counsel19:42  Preparing for direct and cross-examination23:22  Emotions, or none, during testimony26:12  Preparing for anxiety29:16  Counsel and vicarious trauma31:53  Public Interest Award and advocacy programs Quote“In the case of the pro se defendant, and dealing with that person and having to answer questions on cross, the questions may not be as pristine as an experienced or talented trial lawyer's may be, and it may not be as controlling a situation as anticipated. If the questions are such that it allows the witness to answer more than yes or no, where's the control?” Barbara BarronResourcesBarbara Barron (bio)Building Trial Skills: New York–Hofstra (program)Half-Day Intensives: Online (programs)

Diese Woche mit Aeneas Rooch und Julia Nestlen. Ihre Themen sind: - Sag mir, wie du heißt und ich sag dir…? Was unsere Namen so beeinflussen können (00:54) - Erstmals winzige Bärtierchen tätowiert – wie und warum bitte schön? (09:46) - Neues Schlangen-Gegengift entwickelt – durch Selbstversuch (17:24) - Gibt es bald Regenkraftwerke? (24:18) Weitere Infos und Studien gibt's hier: Name Letter Branding: Valence Transfers When Product Specific Needs Are Active: https://www.researchgate.net/publication/23547271_Name_Letter_Branding_Valence_Transfers_When_Product_Specific_Needs_Are_Active Why Susie sells seashells by the seashore: Implicit egotism and major life decision: https://www.researchgate.net/publication/11370757_Why_Susie_sells_seashells_by_the_seashore_Implicit_egotism_and_major_life_decision Can names shape facial appearance?: https://www.pnas.org/doi/10.1073/pnas.2405334121 Die Fakt ab-Folge mit den Namen in Japan: https://www.ardaudiothek.de/episode/fakt-ab-eine-woche-wissenschaft/dieser-frosch-bruellt-feinde-an/ard/13308757/ Patterning on Living Tardigrades: https://pubs.acs.org/doi/10.1021/acs.nanolett.5c00378 Snake venom protection by a cocktail of varespladib and broadly neutralizing human antibodies: https://www.cell.com/cell/fulltext/S0092-8674(25)00402-7 A step toward harnessing clean energy from falling rainwater: https://www.acs.org/pressroom/presspacs/2025/april/a-step-toward-harnessing-clean-energy-from-falling-rainwater.html Unser Podcast-Tipp der Woche: Dr. Ketamin – die Das Wissen-Story https://www.ardaudiothek.de/episode/das-wissen/dr-ketamin-folge-1-der-arzt/swr-kultur/14524121/ https://www.ardaudiothek.de/sendung/das-wissen/8758500/ Habt ihr auch Nerd-Facts und schlechte Witze für uns? Schreibt uns bei WhatsApp und Signal oder schickt eine Sprachnachricht: 0174/4321508 Oder per E-Mail: faktab@swr2.de Oder direkt auf http://swr.li/faktab Instagram: @charlotte.grieser @julianistin @sinologin @aeneasrooch Redaktion: Charlotte Grieser und Chris Eckardt Idee: Christoph König

Donna and Al discuss the fascinating world of memory, including how implicit and explicit memories shape our experiences. They reveal how Feldenkrais lessons can soften the grip of old patterns while cultivating new, positive self-perceptions.  Key Takeaways:  • Implicit memories from early life shape our unconscious habits. • State influences how we recall past experiences calm states recall positive memories. • Feldenkrais lessons help rewrite unhelpful memories by changing movement patterns. Resources Mentioned: For guided lessons, visit AchievingExcellence.com  and DonnaRay.com. Enjoyed the episode? Subscribe, leave a review, and explore Feldenkrais lessons at FeldenkraiforLife.com  

What if your company's culture is actually holding you back? Would you have the courage to change it — even if you were the one who built it? In this episode of North Star Leadership Podcast, Lindsay talks with Craig McLuckie - co-founder and CEO of Stacklok. They explore what it really means to lead — especially when it means rethinking your own assumptions. Craig brings a rare blend of technical depth, operational wisdom, and honest self-awareness as he unpacks how to build resilient, reality-based organizations in a fast-changing world. This is a candid, unvarnished take on leadership, culture, and how to survive the hype cycles — with your integrity intact. You'll hear them discuss: Culture replication vs. diversity – Why the only thing you should aim to replicate across your company is culture, and how to let everything else be diverse. Craig explains how culture acts as a “standard interface,” enabling variation while preserving coherence. Hypocrisy as a culture killer – The moment your implicit behavior contradicts your stated values, you lose trust. Craig shares how leaders must be honest about when culture needs to evolve — or risk becoming the bottleneck. Implicit vs. explicit culture – Every company has both, and they don't always align. Craig discusses how a company naturally becomes a caricature of its founders, and what happens when that unspoken culture isn't addressed. The camel vs. unicorn mindset – Why Craig believes it's better to be durable than dazzling. He explains how being hype-resistant and focused on creating real value is a more sustainable path through volatile markets. Leadership at different scales – From zero to thousands of people, Craig shares the traps leaders fall into when they fail to adjust their style. He talks candidly about learning to “reset his operating model” depending on the moment. The evolution of developer work – With GenAI reshaping the landscape, Craig reflects on how it's changing everything from workflows to security. He shares how he's actively rebuilding his internal models to keep up. Personal capacity and rituals – How Craig structures his days for clarity, why he aims to work himself out of a job, and what assembling office chairs has to do with humility in leadership. Resources: Craig McLuckie on the Stacklok | LinkedIn Lindsay Pedersen - Contact me to tell me who you'd like to hear as a guest! | Connect with me on LinkedIn

We're back for another season of the SEND Network Podcast! To kick things off for our seventh series, Izzy is joined by early years specialists Kerry Murphy and David Cahn. They discuss neurodiverse play, exploring:Kerry's A–Z of Neurodiverse PlayDavid's work as a neurodiversity-affirming childminderHow we can decolonise play in early years settingsResourcesRespecting neurodivergent play: what does it look like?Implicit bias may help explain high preschool expulsion rates for black childrenWant to hear more about neurodivergent play? Listen to our episode with Simon Airey! - Valuing and developing neurodivergent play with Simon AireyAbout Kerry and DavidKerry Murphy is an early years specialist with over 20 years of experience. She has worked across schools, local authorities, and now lectures at Goldsmiths University.David Cahn is an early childhood educator with experience across a range of settings. Two years ago, he and his wife launched a childminding service that champions neuroaffirming practice.Academy 21 This episode is sponsored by Academy21, the UK's leading online, DfE-accredited, alternative provision experts. Working with schools, local authorities and multi-academy trusts, they help students, through live teaching to build confidence, re-engage and progress in their education.Academy21 works in partnership with schools and other institutions to support students who are struggling with attendance for whatever reason, providing a bridge towards reintegration.Find out more about Academy21 by heading to their website, academy21.co.uk , or follow them on the SEND Network!The SEND NetworkFor more information and resources, access the  Podcast Discussion Room here: https://send-network.co.uk/rooms/the-send-network-podcastNew to the network? Register here: SEND Network | An online community for SEND professionals (send-network.co.uk)

Implicit bias - it's unconscious, it's uncomfortable, and it affects patient care more than we may realize. In this powerful episode, we sit down with Darlene Murdock, Staff Nurse at Memorial Hermann Hospital, to explore how our own hidden biases can lead to unequal treatment, impact patient outcomes, and create barriers to compassionate care. Darlene shares real-life stories, eye-opening stats, and actionable steps to help us become more self-aware and patient-focused in the OR and beyond. Tune in now to take the first step toward understanding your own implicit bias! #operatingroom #perioperative #perioperativenurse #implicitbias #surgicaltechnologist #scrubtech #podcast

Our goal is to bridge the gap between the mainstream & indie artists. Our main aim is to focus on edgy neosoul & jazzy/soul/rnb female artists/groups.*NOTE (This list is not based on Charts or Streams just on what NEO2SOUL discovered)The podcast mix show is syndicated onWVRO (USA) Mon/Wed/Fri 6 pm UK (weekly)WHTL 95.2 FM (USA) Mon - Fri 9:30 am UK (weekly)Golddust Radio (UK) Sun 2 pm UK (Monthly)Pulse Int'l Radio (USA) Thur & Sat 4pm (weekly) RadioFM (Worldwide) 24hrsMovaKween - SlowlyBlackjack + Jai Sian - Wait A MinuteAZURE - What Do I Do?Tai Marie - Luv CircusCzafari. - Please Don't GoSegen - Dial 9Tabeia - How Much I CareSophia Bromberg - quiet partIzzy Withers - Pretty PleaseJanay Saxon - Through Your Eyes heleenyum - LadyEcho Huang ft FIG - Something About You Kahndes - TYS Devin + Tori - 2.37 AMNali - CrossfadedRaquel Martins - If I GAVE U MY DREAMRuby Francis - Back 2 MyselfLinn Levine - Tell MeAnieszka - to be knownKastille - Someone Like YouM'Lynn - Wasted On YouNka - Hold OnCoco Elane & Lucid Liebe - Wander With Mehalfpastseven & Talulah - FinityNoa Lauryn & m.demian - Always On Time Ella Mae Sueref ft Leroy Horns & MonoMassive - So You Should Allyn - Circus Brandy Haze - Apartment Dejah J - BreatheZYAH - SoftKia Harper - Who Got The TimeCharlotte Dowsson - palm of your handsLeo Hollywood ft Implicit & Honor Carr - Charge ItClarisse J Charles - Questions Carol Riddick - Gas HardÌsa Blues - Truth IsLOUISE - Please Stay AsideMorgan Munroe ft Jay Wilcox - Temporary LoveKIA - CornerStoreNaishe ft Christer - Matter Of TimeNina Ann Nelson - Two Truths and a LieAmarachi Desi - Waiting For MeAnnalisa Fernandez - CouchShanté - Why?Meraki Anoir - Game Of LoveSaint Mercedes - PatienceOlivia Ray - Passenger Princess INA - GoHunna G & KELS - Gave Yourself Away (Freestyle)Dyna Edyne - Don't Hold BackTia Gordon - backwards lovingAngelica Maria - Worth It Chandra - Liquid in My FeetMarlee XX - Check InLizzie Berchie ft Filah Lah - Love Deep Gio - Match MadeMaya Amolo ft Ywaya Tajiri - Sweetest Time Amiracle - Indefinitely MĀ ft Mato Wayuhi - DecayLucy Park - There I Go Lynze ft Micah D'vinchi - CrazyAri LaShell - Set Me FreeAmerie - MineAri Lennox - Soft Girl Era Hadassah - BaddestSAFA - 911Jorginho Neto ft Susan Carol - I Feel Good

What should we do when we have difficulty understanding a Bible verse? Today, R.C. Sproul explains how to interpret these passages in light of others that are clearer. Get R.C. Sproul's teaching series Knowing Scripture on DVD, plus lifetime digital access to the messages and study guide, for your donation of any amount: https://gift.renewingyourmind.org/3943/donate    Meet Today's Teacher:   R.C. Sproul (1939–2017) was known for his ability to winsomely and clearly communicate deep, practical truths from God's Word. He was founder of Ligonier Ministries, first minister of preaching and teaching at Saint Andrew's Chapel, first president of Reformation Bible College, and executive editor of Tabletalk magazine.   Meet the Host:   Nathan W. Bingham is vice president of ministry engagement for Ligonier Ministries, executive producer and host of Renewing Your Mind, host of the Ask Ligonier podcast, and a graduate of Presbyterian Theological College in Melbourne, Australia. Nathan joined Ligonier in 2012 and lives in Central Florida with his wife and four children. Renewing Your Mind is a donor-supported outreach of Ligonier Ministries. Explore all of our podcasts: https://www.ligonier.org/podcasts

Send us a textIn this episode, Sarah unpacks the important relationship between DEI programming and mindfulness. Implicit bias is unconscious negative automatic thinking about certain people and groups. Implicit bias is a function of the human brain and is a key factor in perpetuating racism. Nobody is exempt from this brain activity, however, we can reduce our implicit biases with mindfulness skills. Learn why implicit bias once was important to human survival, and how now this brain mechanism is harmful. Also, learn about several other brain skills we have been evolved to use that were once important to our survival but now are problematic and lead to anxiety and depression.  Click on this link to become a The Aware Mind subscriber. $6 a month will give you access to exclusive content, including guided meditations for better sleep, enhanced focus and much needed emotional healing. Link to Subscribe TodayLink to blog citing research mentioned in this episode: The Aware Mind BlogImportant links:Sarah's Mindfulness Coaching website: https://www.sarahvallely.comTSD Mindfulness Coach Certification https://www.tsdmind.orgThis episode is a meditation for beginners, and mindfulness for beginners resource. Intermediate and advanced meditators will also benefit. The Aware Mind produces content that supports stress reduction, anxiety relief, better concentration and focus, and trauma healing.The Aware Mind is produced by TSD Mindfulness, a virtual meditation center, offering mindfulness classes, certifications and private coaching for people with past trauma, anxiety and depression disorders, business leaders, and people who work in the helping professions (i.e. counselors, healers and yoga and meditation teachers).Support the showSupport the show

The venture capital industry is consolidating, with a decrease in active VC firms in the U.S., leading to greater challenges for female founders in securing funding. Women-led startups show lower failure rates and higher returns, yet receive less than two percent of VC funding. Implicit biases influence funding decisions, favoring profiles similar to previous successes, typically male-led ventures. Larger firms prioritize established networks and lower-risk investments, complicating access for diverse entrepreneurs. Current economic uncertainties and rising inflation increase reliance on bridge rounds and insider-led funding, which disadvantage underrepresented entrepreneurs with limited networks. As fewer firms invest in diverse startups, alternative funding solutions become essential. Founders can explore grants, revenue-based financing, and corporate venture partnerships. Building mentorship networks and engaging with diversity-focused funds can enhance capital access. Institutional investors need to promote transparency in diversity metrics and support initiatives for diverse founders. Despite these challenges, women and minority entrepreneurs persevere, advocating for equitable funding and greater access to alternative capital to ensure growth.Learn more on this news visit us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

NITA Program Director and former Resource Director Mark Caldwell joins the podcast to chat about how to effectively communicate with the various audiences in the courtroom to ensure they get — and comprehend — the information they need from you. He shares how to talk to jurors about unfamiliar courtroom procedures and substantive information, why sounding like a tv lawyer is a huge turn-off to jurors, and recommends some of his favorite lawyers from pop culture whose techniques can help trial lawyers refine their courtroom communication style.Topics3:05    The needs of the courtroom audience7:14    What “talking like a lawyer” means10:10  Juror impressions of “lawspeak”  13:53  Communicating procedural and substantive complexity20:06  How not to sound like a lawyer27:50  Pop culture examples of legal communication29:00  Why my cousin Vinny is a great trial lawyer31:42  Movies and a book to recommend51:55  Implicit bias trainingQuote“Don't be a tv lawyer, but take lessons from what you see on television.” Mark CaldwellResourcesMark Caldwell (bio)Colorado Deposition Skills and Trial Skills (programs)Films, shows, and book (list)

Implicit or unconscious bias is attitudes or perceptions we have about people without our conscious knowledge. It is when we make a snap judgment based on stereotypes, cultural attitudes, and assumptions. And because of racism, white people do this all the time when it comes to the ways that they view, treat, or talk to people of color.

Send us a textThis episode highlights the importance of emotional intelligence and social skills in policing, emphasizing how these traits can enhance community relations and improve law enforcement effectiveness. Through discussions on hiring practices, analysis of body cam footage, and audience engagement, the hosts explore the nuanced dynamics between police and community, advocating for continued dialogue and education. • Emotional intelligence as a tool for better policing • The role of social skills in law enforcement effectiveness • Analysis of body cam footage and its implications for interactions • Implicit bias and its impact on policing decisions • The need for transparency and accountability within police departments • The importance of public trust in effective community policing • Calls for proactive measures to improve police-community relations • Engaging audience participation and feedback as a learning toolSupport the showPlease see our Youtube channel https://www.youtube.com/c/TwoCopsOneDonut

Uncovering Implicit Associations: Recognizing hidden biases in our workWe often make unconscious associations between different things. These automatic associations can shape our behaviors and decisions, even when we consciously believe we are acting fairly and impartially. This bias illustrates the powerful influence of our subconscious mind on our everyday interactions and judgments.Are you as unbiased as you think?Join us for this week's edition of the Cognition Catalog as we explore its impact on our subconscious decisions. Learn how these hidden biases affect team dynamics, workplace decisions, and daily interactions. Discover practical steps to identify and mitigate these biases to create a fair and cohesive work environment.• 00:00 - Are you biased?• 01:37 - Understanding Implicit Association• 03:27 - The Implicit Association Test (IAT)• 04:09 - Impact of Implicit Association• 04:25 - Implicit Association in the workplace• 05:58 - Addressing implicit biases---To explore more about the social comparison bias, don't miss the full article on the Cognition Catalog!Don't forget to subscribe to the newsletter to be the first to know when new episodes drop!—Thanks for listening! We hope you dug today's episode. If you liked what you heard, be sure to like and subscribe wherever you listen to podcasts! And if you really enjoyed today's episode, why don't you leave a five-star review? Or tell some friends! It will help us out a ton.If you haven't already, sign up for our email list. We won't spam you. Pinky swear.• Get a FREE audiobook AND support the show• Support the show on Patreon• Check out show transcripts• Check out our website• Subscribe on Apple Podcasts• Subscribe on Spotify• Subscribe on YouTube• Subscribe on Stitcher

In this episode of Now that's Significant, hosted by Michael Howard, Head of Marketing at Infotools, the discussion features Todd Kirby, a seasoned marketing research and insights professional. The episode explores the intersection of marketing research with AI, advanced research methodologies, and technology platforms, and how they can collectively transform the industry. Todd shares his insights on leveraging these tools to enhance advertising effectiveness and consumer connection. Key takeaways from this episode 1. Integration of AI and Research: Todd emphasizes the transformative potential of AI when integrated with traditional and advanced market research methodologies. This integration can streamline processes, reduce costs, and enhance data quality, enabling more strategic decision-making. 2. Advanced Research Methods: The use of behavioral science, emotion-based measures, and implicit psychology at scale is now affordable and accessible. These methods provide deeper insights into consumer behavior, enhancing the impact of marketing strategies. 3. Importance of Platforms: The development of user-friendly technology platforms allows clients to access insights more efficiently. This technological advancement supports quicker decision-making and facilitates a closer connection between brands and consumers. 4. Bridging Silos for Success: Todd highlights the need for collaboration between creatives, marketers, and researchers to overcome biases and silos. By working together, the industry can achieve significant improvements in consumer insights and advertising effectiveness. 5. Future Opportunities in Market Research: Todd is optimistic about the future, predicting that consumer insights will become seamlessly integrated into strategic decision-making. Embracing new technologies and methodologies will be crucial for the industry's growth and success. Don't miss out on more episodes of Now that's Significant for further insights into market research and innovation. Tune in on major podcast platforms to stay informed about the latest trends and strategies in consumer insights. *** Infotools Harmoni is a fit-for-purpose market research analysis, visualization, and reporting platform that gives the world's leading brands the tools they need to better understand their consumers, customers, organization, and market. www.infotools.com Established in 1990, we work with some of the world's top brands around the world, including Coca-Cola, Orange, Samsung, and Mondelēz. Our powerful cloud-based platform, Harmoni, is purpose-built for market research. From data processing to investigation, dashboards to collaboration, Harmoni is a true "data-to-decision-making" solution for in-house corporate insights teams and agencies. While we don't facilitate market research surveys, provide sample, or collect data, we make it easy for market researchers to find and share compelling insights that go over-and-above what stakeholders want, inspiring them to act decisively. One of the most powerful features of Harmoni is Discover, a time-tested, time-saving, and investigative approach to data analysis. Using automated analyses to reveal patterns and trends, Discover minimizes potential research bias by removing the need for requesting and manually analyzing scores of cumbersome crosstabs – often seeing what you can't. Discover helps you easily find what differentiates groups that matter to you, uncover what makes them unique, and deliver data points that are interesting, relevant, and statistically significant, plus see things others can't. Add to all this an impending GenAI feature, and you have an extremely powerful, future-proofed tool.

Arnaud et Emmanuel discutent des versions Java, font un résumé de l'ecosystème WebAssembly, discutent du nouveau Model Context Protocol, parlent d'observabilité avec notamment les Wide Events et de pleins d'autres choses encore. Enregistré le 17 janvier 2025 Téléchargement de l'épisode LesCastCodeurs-Episode–321.mp3 ou en vidéo sur YouTube. News Langages java trend par InfoQ https://www.infoq.com/articles/java-trends-report–2024/ Java 17 finalement depasse 11 et 8 ~30/33% Java 21 est à 1.4% commonhaus apparait GraalVM en early majority Spring AI et langchain4j en innovateurs SB 3 voit son adoption augmenter Un bon résumé sur WebAssembly, les différentes specs comme WASM GC, WASI, WIT, etc https://2ality.com/2025/01/webassembly-language-ecosystem.html WebAssembly (Wasm) est un format d'instructions binaires pour une machine virtuelle basée sur une pile, permettant la portabilité et l'efficacité du code. Wasm a évolué à partir d'asm.js, un sous-ensemble de JavaScript qui pouvait fonctionner à des vitesses proches de celles natives. WASI (WebAssembly System Interface) permet à Wasm de fonctionner en dehors des navigateurs Web, fournissant des API pour le système de fichiers, CLI, HTTP, etc. Le modèle de composant WebAssembly permet l'interopérabilité entre les langages Wasm à l'aide de WIT (Wasm Interface Type) et d'ABI canonique. Les composants Wasm se composent d'un module central et d'interfaces WIT pour les importations/exportations, facilitant l'interaction indépendante du langage. Les interfaces WIT décrivent les types et les fonctions, tandis que les mondes WIT définissent les capacités et les besoins d'un composant (importations/exportations). La gestion des packages Wasm est assurée par Warg, un protocole pour les registres de packages Wasm. Une enquête a montré que Rust est le langage Wasm le plus utilisé, suivi de Kotlin et de C++; de nombreux autres langages sont également en train d'émerger. Un algorithme de comptage a taille limitée ne mémoire a été inventé https://www.quantamagazine.org/computer-scientists-invent-an-efficient-new-way-to-count–20240516/ élimine un mot de manière aléatoire mais avec une probabilité connue quand il y a besoin de récupérer de l'espace cela se fait par round et on augmente la probabilité de suppression à chaque round donc au final, ne nombre de mots / la probabilité d'avoir été éliminé donne une mesure approximative mais plutot précise Librairies Les contributions Spring passent du CLA au DCO https://spring.io/blog/2025/01/06/hello-dco-goodbye-cla-simplifying-contributions-to-spring d'abord manuel amis meme automatisé le CLA est une document legal complexe qui peut limiter les contribuitions le DCO vient le Linux je crois et est super simple accord que la licence de la conmtrib est celle du projet accord que le code est public et distribué en perpetuité s'appuie sur les -s de git pour le sign off Ecrire un serveur MCP en Quarkus https://quarkus.io/blog/mcp-server/ MCP est un protocol proposé paor Antropic pour integrer des outils orchestrables par les LLMs MCP est frais et va plus loin que les outils offre la notion de resource (file), de functions (tools), et de proimpts pre-built pour appeler l'outil de la meilleure façon On en reparlera a pres avec les agent dans un article suivant il y a une extension Quarkus pour simplifier le codage un article plus detaillé sur l'integration Quarkus https://quarkus.io/blog/quarkus-langchain4j-mcp/ GreenMail un mini mail server en java https://greenmail-mail-test.github.io/greenmail/#features-api Utile pour les tests d'integration Supporte SMTP, POP3 et IMAP avec TLS/SSL Propose des integrations JUnit, Spring Une mini UI et des APIs REST permettent d'interagir avec le serveur si par exemple vous le partagé dans un container (il n'y a pas d'integration TestContainer existante mais elle n'est pas compliquée à écrire) Infrastructure Docker Bake in a visual way https://dev.to/aurelievache/understanding-docker-part–47-docker-bake–4p05 docker back propose d'utiliser des fichiers de configuration (format HCL) pour lancer ses builds d'images et docker compose en gros voyez ce DSL comme un Makefile très simplifié pour les commandes docker qui souvent peuvent avoir un peu trop de paramètres Datadog continue de s'etendre avec l'acquisition de Quickwit https://www.datadoghq.com/blog/datadog-acquires-quickwit/ Solution open-source de recherche des logs qui peut être déployée on-premise et dans le cloud https://quickwit.io/ Les logs ne quittent plus votre environment ce qui permet de répondre à des besoins de sécurité, privacy et réglementaire Web 33 concepts en javascript https://github.com/leonardomso/33-js-concepts Call Stack, Primitive Types, Value Types and Reference Types, Implicit, Explicit, Nominal, Structuring and Duck Typing, == vs === vs typeof, Function Scope, Block Scope and Lexical Scope, Expression vs Statement, IIFE, Modules and Namespaces, Message Queue and Event Loop, setTimeout, setInterval and requestAnimationFrame, JavaScript Engines, Bitwise Operators, Type Arrays and Array Buffers, DOM and Layout Trees, Factories and Classes, this, call, apply and bind, new, Constructor, instanceof and Instances, Prototype Inheritance and Prototype Chain, Object.create and Object.assign, map, reduce, filter, Pure Functions, Side Effects, State Mutation and Event Propagation, Closures, High Order Functions, Recursion, Collections and Generators, Promises, async/await, Data Structures, Expensive Operation and Big O Notation, Algorithms, Inheritance, Polymorphism and Code Reuse, Design Patterns, Partial Applications, Currying, Compose and Pipe, Clean Code Data et Intelligence Artificielle Phi 4 et les small language models https://techcommunity.microsoft.com/blog/aiplatformblog/introducing-phi–4-microsoft%e2%80%99s-newest-small-language-model-specializing-in-comple/4357090 Phi 4 un SML pour les usages locaux notamment 14B de parametres belle progression de ~20 points sur un score aggregé et qui le rapproche de Llama 3.3 et ses 70B de parametres bon en math (data set synthétique) Comment utiliser Gemini 2.0 Flash Thinking (le modèle de Google qui fait du raisonnement à la sauce chain of thought) en Java avec LangChain4j https://glaforge.dev/posts/2024/12/20/lets-think-with-gemini–2-thinking-mode-and-langchain4j/ Google a sorti Gemini 2.0 Flash, un petit modèle de la famille Gemini the “thinking mode” simule les cheminements de pensée (Chain of thoughts etc) décompose beaucoup plus les taches coplexes en plusiewurs taches un exemple est montré sur le modele se battant avec le probleme Les recommendations d'Antropic sur les systèmes d'agents https://www.anthropic.com/research/building-effective-agents défini les agents et les workflow Ne recommence pas les frameworks (LangChain, Amazon Bedrock AI Agent etc) le fameux débat sur l'abstraction Beaucoup de patterns implementable avec quelques lignes sans frameworks Plusieurs blocks de complexité croissante Augmented LLM (RAG, memory etc): Anthropic dit que les LLMs savent coordonner cela via MCP apr exemple Second: workflow prompt chaining : avec des gates et appelle les LLMs savent coordonner successivement ; favorise la precision vs la latence vu que les taches sont décomposées en plusieurs calls LLMs Workflow routing: classifie une entree et choisie la route a meilleure: separation de responsabilité Workflow : parallelisation: LLM travaillent en paralllele sur une tache et un aggregateur fait la synthèse. Paralleisaiton avec saucissonage de la tache ou voter sur le meilleur réponse Workflow : orchestrator workers: quand les taches ne sont pas bounded ou connues (genre le nombre de fichiers de code à changer) - les sous taches ne sont pas prédéfinies Workflow: evaluator optimizer: nun LLM propose une réponse, un LLM l'évalue et demande une meilleure réponse au besoin Agents: commande ou interaction avec l;humain puis autonome meme si il peut revenir demander des precisions à l'humain. Agents sont souvent des LLM utilisât des outil pour modifier l'environnement et réagir a feedback en boucle Ideal pour les problèmes ouverts et ou le nombre d'étapes n'est pas connu Recommende d'y aller avec une complexité progressive L'IA c'est pas donné https://techcrunch.com/2025/01/05/openai-is-losing-money-on-its-pricey-chatgpt-pro-plan-ceo-sam-altman-says/ OpenAI annonce que même avec des licenses à 200$/mois ils ne couvrent pas leurs couts associés… A quand l'explosion de la bulle IA ? Outillage Ghostty, un nouveau terminal pour Linux et macOS : https://ghostty.org/ Initié par Mitchell Hashimoto (hashicorp) Ghostty est un émulateur de terminal natif pour macOS et Linux. Il est écrit en Swift et utilise AppKit et SwiftUI sur macOS, et en Zig et utilise l'API GTK4 C sur Linux. Il utilise des composants d'interface utilisateur native et des raccourcis clavier et souris standard. Il prend en charge Quick Look, Force Touch et d'autres fonctionnalités spécifiques à macOS. Ghostty essaie de fournir un ensemble riche de fonctionnalités utiles pour un usage quotidien. Comment Pinterest utilise Honeycomb pour améliorer sa CI https://medium.com/pinterest-engineering/how-pinterest-leverages-honeycomb-to-enhance-ci-observability-and-improve-ci-build-stability–15eede563d75 Pinterest utilise Honeycomb pour améliorer l'observabilité de l'intégration continue (CI). Honeycomb permet à Pinterest de visualiser les métriques de build, d'analyser les tendances et de prendre des décisions basées sur les données. Honeycomb aide également Pinterest à identifier les causes potentielles des échecs de build et à rationaliser les tâches d'astreinte. Honeycomb peut également être utilisé pour suivre les métriques de build locales iOS aux côtés des détails de la machine, ce qui aide Pinterest à prioriser les mises à niveau des ordinateurs portables pour les développeurs. Méthodologies Suite à notre épisode sur les différents types de documentation, cet article parle des bonnes pratiques à suivre pour les tutoriels https://refactoringenglish.com/chapters/rules-for-software-tutorials/ Écrivez des tutoriels pour les débutants, en évitant le jargon et la terminologie complexe. Promettez un résultat clair dans le titre et expliquez l'objectif dans l'introduction. Montrez le résultat final tôt pour réduire les ambiguïtés. Rendez les extraits de code copiables et collables, en évitant les invites de shell et les commandes interactives. Utilisez les versions longues des indicateurs de ligne de commande pour plus de clarté. Séparez les valeurs définies par l'utilisateur de la logique réutilisable à l'aide de variables d'environnement ou de constantes nommées. Épargnez au lecteur les tâches inutiles en utilisant des scripts. Laissez les ordinateurs évaluer la logique conditionnelle, pas le lecteur. Maintenez le code en état de fonctionnement tout au long du tutoriel. Enseignez une chose par tutoriel et minimisez les dépendances. Les Wide events, un “nouveau” concept en observabilité https://jeremymorrell.dev/blog/a-practitioners-guide-to-wide-events/ un autre article https://isburmistrov.substack.com/p/all-you-need-is-wide-events-not-metrics L'idée est de logger des evenements (genre JSON log) avec le plus d'infos possible de la machine, la ram, la versiond e l'appli, l'utilisateur, le numero de build qui a produit l'appli, la derniere PR etc etc ca permet de filtrer et grouper by et de voir des correlations visuelles tres rapidement et de zoomer tiens les ventes baisses de 20% tiens en fait ca vient de l'appli andriod tiens aps correle a la version de l'appli mais la version de l'os si! le deuxieme article est facile a lire le premier est un guide d'usage exhaustif du concept Entre argumenter et se donner 5 minutes https://signalvnoise.com/posts/3124-give-it-five-minutes on veut souvent argumenter aka poser des questions en ayant déjà la reponse en soi emotionnellement mais ca amene beaucoup de verbiage donner 5 minutes à l'idée le temps d'y penser avant d'argumenter Loi, société et organisation Des juges fédéraux arrêtent le principe de la neutralité du net https://www.lemonde.fr/pixels/article/2025/01/03/les-etats-unis-reviennent-en-arriere-sur-le-principe-de-la-neutralite-du-net_6479575_4408996.html?lmd_medium=al&lmd_campaign=envoye-par-appli&lmd_creation=ios&lmd_source=default la neutralité du net c'est l'interdiction de traiter un paquet différemment en fonction de son émetteur Par exemple un paquet Netflix qui serait ralenti vs un paquet Amazon Donald trump est contre cette neutralité. À voir les impacts concrets dans un marché moins régulé. Rubrique débutant Un petit article sur les float vs les double en Java https://www.baeldung.com/java-float-vs-double 4 vs 8 bytes precision max de 7 vs 15 echele 10^38 vs 10^308 (ordre de grandeur) perf a peu pret similaire sauf peut etre pour des modeles d'IA qui vont privilegier une taille plus petite parfois attention overflow et les accumulation d'erreurs d'approximation BigDecimal Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 20 janvier 2025 : Elastic{ON} - Paris (France) 22–25 janvier 2025 : SnowCamp 2025 - Grenoble (France) 24–25 janvier 2025 : Agile Games Île-de-France 2025 - Paris (France) 6–7 février 2025 : Touraine Tech - Tours (France) 21 février 2025 : LyonJS 100 - Lyon (France) 28 février 2025 : Paris TS La Conf - Paris (France) 6 mars 2025 : DevCon #24 : 100% IA - Paris (France) 13 mars 2025 : Oracle CloudWorld Tour Paris - Paris (France) 14 mars 2025 : Rust In Paris 2025 - Paris (France) 19–21 mars 2025 : React Paris - Paris (France) 20 mars 2025 : PGDay Paris - Paris (France) 20–21 mars 2025 : Agile Niort - Niort (France) 25 mars 2025 : ParisTestConf - Paris (France) 26–29 mars 2025 : JChateau Unconference 2025 - Cour-Cheverny (France) 27–28 mars 2025 : SymfonyLive Paris 2025 - Paris (France) 28 mars 2025 : DataDays - Lille (France) 28–29 mars 2025 : Agile Games France 2025 - Lille (France) 3 avril 2025 : DotJS - Paris (France) 3 avril 2025 : SoCraTes Rennes 2025 - Rennes (France) 4 avril 2025 : Flutter Connection 2025 - Paris (France) 10–11 avril 2025 : Android Makers - Montrouge (France) 10–12 avril 2025 : Devoxx Greece - Athens (Greece) 16–18 avril 2025 : Devoxx France - Paris (France) 23–25 avril 2025 : MODERN ENDPOINT MANAGEMENT EMEA SUMMIT 2025 - Paris (France) 24 avril 2025 : IA Data Day 2025 - Strasbourg (France) 29–30 avril 2025 : MixIT - Lyon (France) 7–9 mai 2025 : Devoxx UK - London (UK) 15 mai 2025 : Cloud Toulouse - Toulouse (France) 16 mai 2025 : AFUP Day 2025 Lille - Lille (France) 16 mai 2025 : AFUP Day 2025 Lyon - Lyon (France) 16 mai 2025 : AFUP Day 2025 Poitiers - Poitiers (France) 24 mai 2025 : Polycloud - Montpellier (France) 5–6 juin 2025 : AlpesCraft - Grenoble (France) 5–6 juin 2025 : Devquest 2025 - Niort (France) 11–13 juin 2025 : Devoxx Poland - Krakow (Poland) 12–13 juin 2025 : Agile Tour Toulouse - Toulouse (France) 12–13 juin 2025 : DevLille - Lille (France) 17 juin 2025 : Mobilis In Mobile - Nantes (France) 24 juin 2025 : WAX 2025 - Aix-en-Provence (France) 25–27 juin 2025 : BreizhCamp 2025 - Rennes (France) 26–27 juin 2025 : Sunny Tech - Montpellier (France) 1–4 juillet 2025 : Open edX Conference - 2025 - Palaiseau (France) 7–9 juillet 2025 : Riviera DEV 2025 - Sophia Antipolis (France) 18–19 septembre 2025 : API Platform Conference - Lille (France) & Online 2–3 octobre 2025 : Volcamp - Clermont-Ferrand (France) 6–10 octobre 2025 : Devoxx Belgium - Antwerp (Belgium) 9–10 octobre 2025 : Forum PHP 2025 - Marne-la-Vallée (France) 16–17 octobre 2025 : DevFest Nantes - Nantes (France) 4–7 novembre 2025 : NewCrafts 2025 - Paris (France) 6 novembre 2025 : dotAI 2025 - Paris (France) 7 novembre 2025 : BDX I/O - Bordeaux (France) 12–14 novembre 2025 : Devoxx Morocco - Marrakech (Morocco) 23–25 avril 2026 : Devoxx Greece - Athens (Greece) 17 juin 2026 : Devoxx Poland - Krakow (Poland) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

This week's episode is an exciting example of a topic I've discussed numerous times on this show: implicit and explicit memory—what these are, and how they work together to provide a powerful impact in finding out more about a survivors rape and sexual assault experiences…IF the person doing the interview is trauma informed and knows how to ask the right questions in the right ways. The resultant responses can provide more than a person doing the interview ever dreamed possible!  Last week's guest, Janna MacLean, reached out to me just two days after her original episode recording to tell me that what I had warned her about, how talking about her rape and sexual assault experiences could and probably would activate implicit memories…memories she didn't know were even in her brain, had actually happened, and now she was realizing she'd left som much out of her original telling of her rape and sexual assault experiences.  Janna asked if she could come back on the show to talk about this and make listeners aware of how real and how powerful this brain phenomena truly is. The answer was a no brainer for me…of course, yes, let's do this! And thank you for even having the courage, fortitude, and strength to want to do this!  WoW! What a powerful episode this is! I can hardly wait for you to hear it! Thank you for being a SASS listener. Please subscribe to the show, then give it a five-star rating. This helps in the grand scheme of algorithms to increase the opportunity of more people to know about and listen to this important and powerful podcast. Also, please follow the Instagram page of sexualassaultsurvivorstories. It all helps the show grow. Which is what I hope to accomplish to help lessen the prevalence of rape and sexual assault, as well as the prevalence of rape culture that surrounds us all. And as always, here are some important and meaningful websites I hope you'll take a look at and learn about. And, finally…HAPPY NEW YEAR! I hope each of you find joy, happiness, fulfillment, healing, and love this coming year! Thanks again for listening!   #napanews #arcigrey #thrivivors #thejanbrobergfoundation #janbroberg #safeinharmsway #epizonstrategy #intentionallyfearless #thelastimsorry #feelingsmall #sasspodcast #traumainformed #sexualassaultsurvivorstories #traumainformedexpert #sexassaultvictim #survivorsunite #rapevictim #sexualassaultsurvivorstories #podcast #markelconsulting #jessicapridelawfirm #gettraumainformed #safeinharmsway #projectbeloved #saan #irishangel #crimevictimsassistancecenter #coloradoassociationofsexcrimeinvestigators #girlsfightback #outdoordefense #worthfightingfor #thejanbrobergshow #thrivivors #thejanbrobergfoundation

Implicit in the peoples’ complaints against God is that he does not distinguish between the righteous and the unrighteous, but that could not be further from the truth! Join us as we conclude our study of Malachi by making note of the distinctions made by God.

Happy holidays! We'll be sharing snippets from Latent Space LIVE! through the break bringing you the best of 2024! We want to express our deepest appreciation to event sponsors AWS, Daylight Computer, Thoth.ai, StrongCompute, Notable Capital, and most of all all our LS supporters who helped fund the gorgeous venue and A/V production!For NeurIPS last year we did our standard conference podcast coverage interviewing selected papers (that we have now also done for ICLR and ICML), however we felt that we could be doing more to help AI Engineers 1) get more industry-relevant content, and 2) recap 2024 year in review from experts. As a result, we organized the first Latent Space LIVE!, our first in person miniconference, at NeurIPS 2024 in Vancouver.Our next keynote covers The State of LLM Agents, with the triumphant return of Professor Graham Neubig's return to the pod (his ICLR episode here!). OpenDevin is now a startup known as AllHands! The renamed OpenHands has done extremely well this year, as they end the year sitting comfortably at number 1 on the hardest SWE-Bench Full leaderboard at 29%, though on the smaller SWE-Bench Verified, they are at 53%, behind Amazon Q, devlo, and OpenAI's self reported o3 results at 71.7%.Many are saying that 2025 is going to be the year of agents, with OpenAI, DeepMind and Anthropic setting their sights on consumer and coding agents, vision based computer-using agents and multi agent systems. There has been so much progress on the practical reliability and applications of agents in all domains, from the huge launch of Cognition AI's Devin this year, to the sleeper hit of Cursor Composer and Codeium's Windsurf Cascade in the IDE arena, to the explosive revenue growth of Stackblitz's Bolt, Lovable, and Vercel's v0, and the unicorn rounds and high profile movements of customer support agents like Sierra (now worth $4 billion) and search agents like Perplexity (now worth $9 billion). We wanted to take a little step back to understand the most notable papers of the year in Agents, and Graham indulged with his list of 8 perennial problems in building agents in 2024.Must-Read Papers for the 8 Problems of Agents* The agent-computer interface: CodeAct: Executable Code Actions Elicit Better LLM Agents. Minimial viable tools: Execution Sandbox, File Editor, Web Browsing* The human-agent interface: Chat UI, GitHub Plugin, Remote runtime, …?* Choosing an LLM: See Evaluation of LLMs as Coding Agents on SWE-Bench at 30x - must understand instructions, tools, code, environment, error recovery* Planning: Single Agent Systems vs Multi Agent (CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration) - Explicit vs Implicit, Curated vs Generated* Reusable common workflows: SteP: Stacked LLM Policies for Web Actions and Agent Workflow Memory - Manual prompting vs Learning from Experience* Exploration: Agentless: Demystifying LLM-based Software Engineering Agents and BAGEL: Bootstrapping Agents by Guiding Exploration with Language* Search: Tree Search for Language Model Agents - explore paths and rewind* Evaluation: Fast Sanity Checks (miniWoB and Aider) and Highly Realistic (WebArena, SWE-Bench) and SWE-Gym: An Open Environment for Training Software Engineering Agents & VerifiersFull Talk on YouTubePlease like and subscribe!Timestamps* 00:00 Welcome to Latent Space Live at NeurIPS 2024* 00:29 State of LLM Agents in 2024* 02:20 Professor Graham Newbig's Insights on Agents* 03:57 Live Demo: Coding Agents in Action* 08:20 Designing Effective Agents* 14:13 Choosing the Right Language Model for Agents* 16:24 Planning and Workflow for Agents* 22:21 Evaluation and Future Predictions for Agents* 25:31 Future of Agent Development* 25:56 Human-Agent Interaction Challenges* 26:48 Expanding Agent Use Beyond Programming* 27:25 Redesigning Systems for Agent Efficiency* 28:03 Accelerating Progress with Agent Technology* 28:28 Call to Action for Open Source Contributions* 30:36 Q&A: Agent Performance and Benchmarks* 33:23 Q&A: Web Agents and Interaction Methods* 37:16 Q&A: Agent Architectures and Improvements* 43:09 Q&A: Self-Improving Agents and Authentication* 47:31 Live Demonstration and Closing RemarksTranscript[00:00:29] State of LLM Agents in 2024[00:00:29] Speaker 9: Our next keynote covers the state of LLM agents. With the triumphant return of Professor Graham Newbig of CMU and OpenDevon, now a startup known as AllHands. The renamed OpenHands has done extremely well this year, as they end the year sitting comfortably at number one on the hardest SWE Benchful leaderboard at 29%.[00:00:53] Speaker 9: Though, on the smaller SWE bench verified, they are at 53 percent behind Amazon Q [00:01:00] Devlo and OpenAI's self reported O3 results at 71. 7%. Many are saying that 2025 is going to be the year of agents, with OpenAI, DeepMind, and Anthropic setting their sights on consumer and coding agents. Vision based computer using agents and multi agent systems.[00:01:22] Speaker 9: There has been so much progress on the practical reliability and applications of agents in all domains, from the huge launch of Cognition AI's Devon this year, to the sleeper hit of Cursor Composer and recent guest Codium's Windsurf Cascade in the IDE arena. To the explosive revenue growth of recent guests StackBlitz's Bolt, Lovable, and Vercel's vZero.[00:01:44] Speaker 9: And the unicorn rounds and high profile movements of customer support agents like Sierra, now worth 4 billion, and search agents like Perplexity, now worth 9 billion. We wanted to take a little step back to understand the most notable papers of the year in [00:02:00] agents, and Graham indulged with his list of eight perennial problems in building agents.[00:02:06] Speaker 9: As always, don't forget to check our show notes for all the selected best papers of 2024, and for the YouTube link to their talk. Graham's slides were especially popular online, and we are honoured to have him. Watch out and take care![00:02:20] Professor Graham Newbig's Insights on Agents[00:02:20] Speaker: Okay hi everyone. So I was given the task of talking about agents in 2024, and this is An impossible task because there are so many agents, so many agents in 2024. So this is going to be strongly covered by like my personal experience and what I think is interesting and important, but I think it's an important topic.[00:02:41] Speaker: So let's go ahead. So the first thing I'd like to think about is let's say I gave you you know, a highly competent human, some tools. Let's say I gave you a web browser and a terminal or a file system. And the ability to [00:03:00] edit text or code. What could you do with that? Everything. Yeah.[00:03:07] Speaker: Probably a lot of things. This is like 99 percent of my, you know, daily daily life, I guess. When I'm, when I'm working. So, I think this is a pretty powerful tool set, and I am trying to do, and what I think some other people are trying to do, is come up with agents that are able to, you know, manipulate these things.[00:03:26] Speaker: Web browsing, coding, running code in successful ways. So there was a little bit about my profile. I'm a professor at CMU, chief scientist at All Hands AI, building open source coding agents. I'm maintainer of OpenHands, which is an open source coding agent framework. And I'm also a software developer and I, I like doing lots of coding and, and, you know, shipping new features and stuff like this.[00:03:51] Speaker: So building agents that help me to do this, you know, is kind of an interesting thing, very close to me.[00:03:57] Live Demo: Coding Agents in Action[00:03:57] Speaker: So the first thing I'd like to do is I'd like to try [00:04:00] some things that I haven't actually tried before. If anybody has, you know, tried to give a live demo, you know, this is, you know very, very scary whenever you do it and it might not work.[00:04:09] Speaker: So it might not work this time either. But I want to show you like three things that I typically do with coding agents in my everyday work. I use coding agents maybe five to 10 times a day to help me solve my own problems. And so this is a first one. This is a data science task. Which says I want to create scatter plots that show the increase of the SWE bench score over time.[00:04:34] Speaker: And so I, I wrote a kind of concrete prompt about this. Agents work better with like somewhat concrete prompts. And I'm gonna throw this into open hands and let it work. And I'll, I'll go back to that in a second. Another thing that I do is I create new software. And I, I've been using a [00:05:00] service a particular service.[00:05:01] Speaker: I won't name it for sending emails and I'm not very happy with it. So I want to switch over to this new service called resend. com, which makes it easier to send emails. And so I'm going to ask it to read the docs for the resend. com API and come up with a script that allows me to send emails. The input to the script should be a CSV file and the subject and body should be provided in Jinja2 templates.[00:05:24] Speaker: So I'll start another agent and and try to get it to do that for me.[00:05:35] Speaker: And let's go with the last one. The last one I do is. This is improving existing software and in order, you know, once you write software, you usually don't throw it away. You go in and, like, actually improve it iteratively. This software that I have is something I created without writing any code.[00:05:52] Speaker: It's basically software to monitor how much our our agents are contributing to the OpenHance repository. [00:06:00] And on the, let me make that a little bit bigger, on the left side, I have the number of issues where it like sent a pull request. I have the number of issues where it like sent a pull request, whether it was merged in purple, closed in red, or is still open in green. And so these are like, you know, it's helping us monitor, but one thing it doesn't tell me is the total number. And I kind of want that feature added to this software.[00:06:33] Speaker: So I'm going to try to add that too. So. I'll take this, I'll take this prompt,[00:06:46] Speaker: and here I want to open up specifically that GitHub repo. So I'll open up that repo and paste in the prompt asking it. I asked it to make a pie chart for each of these and give me the total over the entire time period that I'm [00:07:00] monitoring. So we'll do that. And so now I have let's see, I have some agents.[00:07:05] Speaker: Oh, this one already finished. Let's see. So this one already finished. You can see it finished analyzing the Swebench repository. It wrote a demonstration of, yeah, I'm trying to do that now, actually.[00:07:30] Speaker: It wrote a demonstration of how much each of the systems have improved over time. And I asked it to label the top three for each of the data sets. And so it labeled OpenHands as being the best one for SWE Bench Normal. For SWE Bench Verified, it has like the Amazon QAgent and OpenHands. For the SWE Bench Lite, it has three here over three over here.[00:07:53] Speaker: So you can see like. That's pretty useful, right? If you're a researcher, you do data analysis all the time. I did it while I was talking to all [00:08:00] of you and making a presentation. So that's, that's pretty nice. I, I doubt the other two are finished yet. That would be impressive if the, yeah. So I think they're still working.[00:08:09] Speaker: So maybe we'll get back to them at the end of the presentation. But so these are the kinds of the, these are the kinds of things that I do every day with coding agents now. And it's or software development agents. It's pretty impressive.[00:08:20] Designing Effective Agents[00:08:20] Speaker: The next thing I'd like to talk about a little bit is things I worry about when designing agents.[00:08:24] Speaker: So we're designing agents to, you know, do a very difficult task of like navigating websites writing code, other things like this. And within 2024, there's been like a huge improvement in the methodology that we use to do this. But there's a bunch of things we think about. There's a bunch of interesting papers, and I'd like to introduce a few of them.[00:08:46] Speaker: So the first thing I worry about is the agent computer interface. Like, how do we get an agent to interact with computers? And, How do we provide agents with the tools to do the job? And [00:09:00] within OpenHands we are doing the thing on the right, but there's also a lot of agents that do the thing on the left.[00:09:05] Speaker: So the thing on the left is you give like agents kind of granular tools. You give them tools like or let's say your instruction is I want to determine the most cost effective country to purchase the smartphone model, Kodak one the countries to consider are the USA, Japan, Germany, and India. And you have a bunch of available APIs.[00:09:26] Speaker: And. So what you do for some agents is you provide them all of these tools APIs as tools that they can call. And so in this particular case in order to solve this problem, you'd have to make about like 30 tool calls, right? You'd have to call lookup rates for Germany, you'd have to look it up for the US, Japan, and India.[00:09:44] Speaker: That's four tool goals. And then you go through and do all of these things separately. And the method that we adopt in OpenHands instead is we provide these tools, but we provide them by just giving a coding agent, the ability to call [00:10:00] arbitrary Python code. And. In the arbitrary Python code, it can call these tools.[00:10:05] Speaker: We expose these tools as APIs that the model can call. And what that allows us to do is instead of writing 20 tool calls, making 20 LLM calls, you write a program that runs all of these all at once, and it gets the result. And of course it can execute that program. It can, you know, make a mistake. It can get errors back and fix things.[00:10:23] Speaker: But that makes our job a lot easier. And this has been really like instrumental to our success, I think. Another part of this is what tools does the agent need? And I, I think this depends on your use case, we're kind of extreme and we're only giving the agent five tools or maybe six tools.[00:10:40] Speaker: And what, what are they? The first one is program execution. So it can execute bash programs, and it can execute Jupyter notebooks. It can execute cells in Jupyter notebooks. So that, those are two tools. Another one is a file editing tool. And the file editing tool allows you to browse parts of files.[00:11:00][00:11:00] Speaker: And kind of read them, overwrite them, other stuff like this. And then we have another global search and replace tool. So it's actually two tools for file editing. And then a final one is web browsing, web browsing. I'm kind of cheating when I call it only one tool. You actually have like scroll and text input and click and other stuff like that.[00:11:18] Speaker: But these are basically the only things we allow the agent to do. What, then the question is, like, what if we wanted to allow it to do something else? And the answer is, well, you know, human programmers already have a bunch of things that they use. They have the requests PyPy library, they have the PDF to text PyPy library, they have, like, all these other libraries in the Python ecosystem that they could use.[00:11:41] Speaker: And so if we provide a coding agent with all these libraries, it can do things like data visualization and other stuff that I just showed you. So it can also get clone repositories and, and other things like this. The agents are super good at using the GitHub API also. So they can do, you know, things on GitHub, like finding all of the, you know, [00:12:00] comments on your issues or checking GitHub actions and stuff.[00:12:02] Speaker: The second thing I think about is the human agent interface. So this is like how do we get humans to interact with agents? Bye. I already showed you one variety of our human agent interface. It's basically a chat window where you can browse through the agent's results and things like this. This is very, very difficult.[00:12:18] Speaker: I, I don't think anybody has a good answer to this, and I don't think we have a good answer to this, but the, the guiding principles that I'm trying to follow are we want to present enough info to the user. So we want to present them with, you know, what the agent is doing in the form of a kind of.[00:12:36] Speaker: English descriptions. So you can see here you can see here every time it takes an action, it says like, I will help you create a script for sending emails. When it runs a bash command. Sorry, that's a little small. When it runs a bash command, it will say ran a bash command. It won't actually show you the whole bash command or the whole Jupyter notebook because it can be really large, but you can open it up and see if you [00:13:00] want to, by clicking on this.[00:13:01] Speaker: So like if you want to explore more, you can click over to the Jupyter notebook and see what's displayed in the Jupyter notebook. And you get like lots and lots of information. So that's one thing.[00:13:16] Speaker: Another thing is go where the user is. So like if the user's already interacting in a particular setting then I'd like to, you know, integrate into that setting, but only to a point. So at OpenHands, we have a chat UI for interaction. We have a GitHub plugin for tagging and resolving issues. So basically what you do is you Do at open hands agent and the open hands agent will like see that comment and be able to go in and fix things.[00:13:42] Speaker: So if you say at open hands agent tests are failing on this PR, please fix the tests. It will go in and fix the test for you and stuff like this. Another thing we have is a remote runtime for launching headless jobs. So if you want to launch like a fleet of agents to solve, you know five different problems at once, you can also do [00:14:00] that through an API.[00:14:00] Speaker: So we have we have these interfaces and this probably depends on the use case. So like, depending if you're a coding agent, you want to do things one way. If you're a like insurance auditing agent, you'll want to do things other ways, obviously.[00:14:13] Choosing the Right Language Model for Agents[00:14:13] Speaker: Another thing I think about a lot is choosing a language model.[00:14:16] Speaker: And for agentic LMs we have to have a bunch of things work really well. The first thing is really, really good instruction following ability. And if you have really good instruction following ability, it opens up like a ton of possible applications for you. Tool use and coding ability. So if you provide tools, it needs to be able to use them well.[00:14:38] Speaker: Environment understanding. So it needs, like, if you're building a web agent, it needs to be able to understand web pages either through vision or through text. And error awareness and recovery ability. So, if it makes a mistake, it needs to be able to, you know, figure out why it made a mistake, come up with alternative strategies, and other things like this.[00:14:58] Speaker: [00:15:00] Under the hood, in all of the demos that I did now Cloud, we're using Cloud. Cloud has all of these abilities very good, not perfect, but very good. Most others don't have these abilities quite as much. So like GPT 4. 0 doesn't have very good error recovery ability. And so because of this, it will go into loops and do the same thing over and over and over again.[00:15:22] Speaker: Whereas Claude does not do this. Claude, if you, if you use the agents enough, you get used to their kind of like personality. And Claude says, Hmm, let me try a different approach a lot. So, you know, obviously it's been trained in some way to, you know, elicit this ability. We did an evaluation. This is old.[00:15:40] Speaker: And we need to update this basically, but we evaluated CLOD, mini LLAMA 405B, DeepSeq 2. 5 on being a good code agent within our framework. And CLOD was kind of head and shoulders above the rest. GPT 40 was kind of okay. The best open source model was LLAMA [00:16:00] 3. 1 405B. This needs to be updated because this is like a few months old by now and, you know, things are moving really, really fast.[00:16:05] Speaker: But I still am under the impression that Claude is the best. The other closed models are, you know, not quite as good. And then the open models are a little bit behind that. Grok, I, we haven't tried Grok at all, actually. So, it's a good question. If you want to try it I'd be happy to help.[00:16:24] Speaker: Cool.[00:16:24] Planning and Workflow for Agents[00:16:24] Speaker: Another thing is planning. And so there's a few considerations for planning. The first one is whether you have a curated plan or you have it generated on the fly. And so for solving GitHub issues, you can kind of have an overall plan. Like the plan is first reproduce. If there's an issue, first write tests to reproduce the issue or to demonstrate the issue.[00:16:50] Speaker: After that, run the tests and make sure they fail. Then go in and fix the tests. Run the tests again to make sure they pass and then you're done. So that's like a pretty good workflow [00:17:00] for like solving coding issues. And you could curate that ahead of time. Another option is to let the language model basically generate its own plan.[00:17:10] Speaker: And both of these are perfectly valid. Another one is explicit structure versus implicit structure. So let's say you generate a plan. If you have explicit structure, you could like write a multi agent system, and the multi agent system would have your reproducer agent, and then it would have your your bug your test writer agent, and your bug fixer agent, and lots of different agents, and you would explicitly write this all out in code, and then then use it that way.[00:17:38] Speaker: On the other hand, you could just provide a prompt that says, please do all of these things in order. So in OpenHands, we do very light planning. We have a single prompt. We don't have any multi agent systems. But we do provide, like, instructions about, like, what to do first, what to do next, and other things like this.[00:17:56] Speaker: I'm not against doing it the other way. But I laid [00:18:00] out some kind of justification for this in this blog called Don't Sleep on Single Agent Systems. And the basic idea behind this is if you have a really, really good instruction following agent it will follow the instructions as long as things are working according to your plan.[00:18:14] Speaker: But let's say you need to deviate from your plan, you still have the flexibility to do this. And if you do explicit structure through a multi agent system, it becomes a lot harder to do that. Like, you get stuck when things deviate from your plan. There's also some other examples, and I wanted to introduce a few papers.[00:18:30] Speaker: So one paper I liked recently is this paper called CoAct where you generate plans and then go in and fix them. And so the basic idea is like, if you need to deviate from your plan, you can You know, figure out that your plan was not working and go back and deviate from it.[00:18:49] Speaker: Another thing I think about a lot is specifying common workflows. So we're trying to tackle a software development and I already showed like three use cases where we do [00:19:00] software development and when we. We do software development, we do a ton of different things, but we do them over and over and over again.[00:19:08] Speaker: So just to give an example we fix GitHub actions when GitHub actions are failing. And we do that over and over and over again. That's not the number one thing that software engineers do, but it's a, you know, high up on the list. So how can we get a list of all of, like, the workflows that people are working on?[00:19:26] Speaker: And there's a few research works that people have done in this direction. One example is manual prompting. So there's this nice paper called STEP that got state of the art on the WebArena Web Navigation Benchmark where they came up with a bunch of manual workflows for solving different web navigation tasks.[00:19:43] Speaker: And we also have a paper recently called Agent Workflow Memory where the basic idea behind this is we want to create self improving agents that learn from their past successes. And the way it works is is we have a memory that has an example of lots of the previous [00:20:00] workflows that people have used. And every time the agent finishes a task and it self judges that it did a good job at that task, you take that task, you break it down into individual workflows included in that, and then you put it back in the prompt for the agent to work next time.[00:20:16] Speaker: And this we demonstrated that this leads to a 22. 5 percent increase on WebArena after 40 examples. So that's a pretty, you know, huge increase by kind of self learning and self improvement.[00:20:31] Speaker: Another thing is exploration. Oops. And one thing I think about is like, how can agents learn more about their environment before acting? And I work on coding and web agents, and there's, you know, a few good examples of this in, in both areas. Within coding, I view this as like repository understanding, understanding the code base that you're dealing with.[00:20:55] Speaker: And there's an example of this, or a couple examples of this, one example being AgentList. [00:21:00] Where they basically create a map of the repo and based on the map of the repo, they feed that into the agent so the agent can then navigate the repo and and better know where things are. And for web agents there's an example of a paper called Bagel, and basically what they do is they have the agent just do random tasks on a website, explore the website, better understand the structure of the website, and then after that they they feed that in as part of the product.[00:21:27] Speaker: Part seven is search. Right now in open hands, we just let the agent go on a linear search path. So it's just solving the problem once. We're using a good agent that can kind of like recover from errors and try alternative things when things are not working properly, but still we only have a linear search path.[00:21:45] Speaker: But there's also some nice work in 2024 that is about exploring multiple paths. So one example of this is there's a paper called Tree Search for Language Agents. And they basically expand multiple paths check whether the paths are going well, [00:22:00] and if they aren't going well, you rewind back. And on the web, this is kind of tricky, because, like, how do you rewind when you accidentally ordered something you don't want on Amazon?[00:22:09] Speaker: It's kind of, you know, not, not the easiest thing to do. For code, it's a little bit easier, because you can just revert any changes that you made. But I, I think that's an interesting topic, too.[00:22:21] Evaluation and Future Predictions for Agents[00:22:21] Speaker: And then finally evaluation. So within our development for evaluation, we want to do a number of things. The first one is fast sanity checks.[00:22:30] Speaker: And in order to do this, we want things we can run really fast, really really cheaply. So for web, we have something called mini world of bits, which is basically these trivial kind of web navigation things. We have something called the Adder Code Editing Benchmark, where it's just about editing individual files that we use.[00:22:48] Speaker: But we also want highly realistic evaluation. So for the web, we have something called WebArena that we created at CMU. This is web navigation on real real open source websites. So it's open source [00:23:00] websites that are actually used to serve shops or like bulletin boards or other things like this.[00:23:07] Speaker: And for code, we use Swebench, which I think a lot of people may have heard of. It's basically a coding benchmark that comes from real world pull requests on GitHub. So if you can solve those, you can also probably solve other real world pull requests. I would say we still don't have benchmarks for the fur full versatility of agents.[00:23:25] Speaker: So, for example We don't have benchmarks that test whether agents can code and do web navigation. But we're working on that and hoping to release something in the next week or two. So if that sounds interesting to you, come talk to me and I, I will tell you more about it.[00:23:42] Speaker: Cool. So I don't like making predictions, but I was told that I should be somewhat controversial, I guess, so I will, I will try to do it try to do it anyway, although maybe none of these will be very controversial. Um, the first thing is agent oriented LLMs like large language models for [00:24:00] agents.[00:24:00] Speaker: My, my prediction is every large LM trainer will be focusing on training models as agents. So every large language model will be a better agent model by mid 2025. Competition will increase, prices will go down, smaller models will become competitive as agents. So right now, actually agents are somewhat expensive to run in some cases, but I expect that that won't last six months.[00:24:23] Speaker: I, I bet we'll have much better agent models in six months. Another thing is instruction following ability, specifically in agentic contexts, will increase. And what that means is we'll have to do less manual engineering of agentic workflows and be able to do more by just prompting agents in more complex ways.[00:24:44] Speaker: Cloud is already really good at this. It's not perfect, but it's already really, really good. And I expect the other models will catch up to Cloud pretty soon. Error correction ability will increase, less getting stuck in loops. Again, this is something that Cloud's already pretty good at and I expect the others will, will follow.[00:25:00][00:25:01] Speaker: Agent benchmarks. Agent benchmarks will start saturating.[00:25:05] Speaker: And Swebench I think WebArena is already too easy. It, it is, it's not super easy, but it's already a bit too easy because the tasks we do in there are ones that take like two minutes for a human. So not, not too hard. And kind of historically in 2023 our benchmarks were too easy. So we built harder benchmarks like WebArena and Swebench were both built in 2023.[00:25:31] Future of Agent Development[00:25:31] Speaker: In 2024, our agents were too bad, so we built agents and now we're building better agents. In 2025, our benchmarks will be too easy, so we'll build better benchmarks, I'm, I'm guessing. So, I would expect to see much more challenging agent benchmarks come out, and we're already seeing some of them.[00:25:49] Speaker: In 2026, I don't know. I didn't write AGI, but we'll, we'll, we'll see.[00:25:56] Human-Agent Interaction Challenges[00:25:56] Speaker: Then the human agent computer interface. I think one thing that [00:26:00] we'll want to think about is what do we do at 75 percent success rate at things that we like actually care about? Right now we have 53 percent or 55 percent on Swebench verified, which is real world GitHub PRs.[00:26:16] Speaker: My impression is that the actual. Actual ability of models is maybe closer to 30 to 40%. So 30 to 40 percent of the things that I want an agent to solve on my own repos, it just solves without any human intervention. 80 to 90 percent it can solve without me opening an IDE. But I need to give it feedback.[00:26:36] Speaker: So how do we, how do we make that interaction smooth so that humans can audit? The work of agents that are really, really good, but not perfect is going to be a big challenge.[00:26:48] Expanding Agent Use Beyond Programming[00:26:48] Speaker: How can we expose the power of programming agents to other industries? So like as programmers, I think not all of us are using agents every day in our programming, although we probably will be [00:27:00] in in months or maybe a year.[00:27:02] Speaker: But I, I think it will come very naturally to us as programmers because we know code. We know, you know. Like how to architect software and stuff like that. So I think the question is how do we put this in the hands of like a lawyer or a chemist or somebody else and have them also be able to, you know, interact with it as naturally as we can.[00:27:25] Redesigning Systems for Agent Efficiency[00:27:25] Speaker: Another interesting thing is how can we redesign our existing systems for agents? So we had a paper on API based web agents, and basically what we showed is If you take a web agent and the agent interacts not with a website, but with APIs, the accuracy goes way up just because APIs are way easier to interact with.[00:27:42] Speaker: And in fact, like when I ask the, well, our agent, our agent is able to browse websites, but whenever I want it to interact with GitHub, I tell it do not browse the GitHub website. Use the GitHub API because it's way more successful at doing that. So maybe, you know, every website is going to need to have [00:28:00] an API because we're going to be having agents interact with them.[00:28:03] Accelerating Progress with Agent Technology[00:28:03] Speaker: About progress, I think progress will get faster. It's already fast. A lot of people are already overwhelmed, but I think it will continue. The reason why is agents are building agents. And better agents will build better agents faster. So I expect that you know, if you haven't interacted with a coding agent yet, it's pretty magical, like the stuff that it can do.[00:28:24] Speaker: So yeah.[00:28:28] Call to Action for Open Source Contributions[00:28:28] Speaker: And I have a call to action. I'm honestly, like I've been working on, you know, natural language processing and, and Language models for what, 15 years now. And even for me, it's pretty impressive what like AI agents powered by strong language models can do. On the other hand, I believe that we should really make these powerful tools accessible.[00:28:49] Speaker: And what I mean by this is I don't think like, you know, We, we should have these be opaque or limited to only a set, a certain set of people. I feel like they should be [00:29:00] affordable. They shouldn't be increasing the, you know, difference in the amount of power that people have. If anything, I'd really like them to kind of make it It's possible for people who weren't able to do things before to be able to do them well.[00:29:13] Speaker: Open source is one way to do that. That's why I'm working on open source. There are other ways to do that. You know, make things cheap, make things you know, so you can serve them to people who aren't able to afford them. Easily, like Duolingo is one example where they get all the people in the US to pay them 20 a month so that they can give all the people in South America free, you know, language education, so they can learn English and become, you know like, and become, you know, More attractive on the job market, for instance.[00:29:41] Speaker: And so I think we can all think of ways that we can do that sort of thing. And if that resonates with you, please contribute. Of course, I'd be happy if you contribute to OpenHands and use it. But another way you can do that is just use open source solutions, contribute to them, research with them, and train strong open source [00:30:00] models.[00:30:00] Speaker: So I see, you know, Some people in the room who are already training models. It'd be great if you could train models for coding agents and make them cheap. And yeah yeah, please. I, I was thinking about you among others. So yeah, that's all I have. Thanks.[00:30:20] Speaker 2: Slight, slightly controversial. Tick is probably the nicest way to say hot ticks. Any hot ticks questions, actual hot ticks?[00:30:31] Speaker: Oh, I can also show the other agents that were working, if anybody's interested, but yeah, sorry, go ahead.[00:30:36] Q&A: Agent Performance and Benchmarks[00:30:36] Speaker 3: Yeah, I have a couple of questions. So they're kind of paired, maybe. The first thing is that you said that You're estimating that your your agent is successfully resolving like something like 30 to 40 percent of your issues, but that's like below what you saw in Swebench.[00:30:52] Speaker 3: So I guess I'm wondering where that discrepancy is coming from. And then I guess my other second question, which is maybe broader in scope is that [00:31:00] like, if, if you think of an agent as like a junior developer, and I say, go do something, then I expect maybe tomorrow to get a Slack message being like, Hey, I ran into this issue.[00:31:10] Speaker 3: How can I resolve it? And, and, like you said, your agent is, like, successfully solving, like, 90 percent of issues where you give it direct feedback. So, are you thinking about how to get the agent to reach out to, like, for, for planning when it's, when it's stuck or something like that? Or, like, identify when it runs into a hole like that?[00:31:30] Speaker: Yeah, so great. These are great questions. Oh,[00:31:32] Speaker 3: sorry. The third question, which is a good, so this is the first two. And if so, are you going to add a benchmark for that second question?[00:31:40] Speaker: Okay. Great. Yeah. Great questions. Okay. So the first question was why do I think it's resolving less than 50 percent of the issues on Swebench?[00:31:48] Speaker: So first Swebench is on popular open source repos, and all of these popular open source repos were included in the training data for all of the language models. And so the language [00:32:00] models already know these repos. In some cases, the language models already know the individual issues in Swebench.[00:32:06] Speaker: So basically, like, some of the training data has leaked. And so it, it definitely will overestimate with respect to that. I don't think it's like, you know, Horribly, horribly off but I think, you know, it's boosting the accuracy by a little bit. So, maybe that's the biggest reason why. In terms of asking for help, and whether we're benchmarking asking for help yes we are.[00:32:29] Speaker: So one one thing we're working on now, which we're hoping to put out soon, is we we basically made SuperVig. Sweep edge issues. Like I'm having a, I'm having a problem with the matrix multiply. Please help. Because these are like, if anybody's run a popular open source, like framework, these are what half your issues are.[00:32:49] Speaker: You're like users show up and say like, my screen doesn't work. What, what's wrong or something. And so then you need to ask them questions and how to reproduce. So yeah, we're, we're, we're working on [00:33:00] that. I think. It, my impression is that agents are not very good at asking for help, even Claude. So like when, when they ask for help, they'll ask for help when they don't need it.[00:33:11] Speaker: And then won't ask for help when they do need it. So this is definitely like an issue, I think.[00:33:20] Speaker 4: Thanks for the great talk. I also have two questions.[00:33:23] Q&A: Web Agents and Interaction Methods[00:33:23] Speaker 4: It's first one can you talk a bit more about how the web agent interacts with So is there a VLM that looks at the web page layout and then you parse the HTML and select which buttons to click on? And if so do you think there's a future where there's like, so I work at Bing Microsoft AI.[00:33:41] Speaker 4: Do you think there's a future where the same web index, but there's an agent friendly web index where all the processing is done offline so that you don't need to spend time. Cleaning up, like, cleaning up these TML and figuring out what to click online. And any thoughts on, thoughts on that?[00:33:57] Speaker: Yeah, so great question. There's a lot of work on web [00:34:00] agents. I didn't go into, like, all of the details, but I think there's There's three main ways that agents interact with websites. The first way is the simplest way and the newest way, but it doesn't work very well, which is you take a screenshot of the website and then you click on a particular pixel value on the website.[00:34:23] Speaker: And Like models are not very good at that at the moment. Like they'll misclick. There was this thing about how like clawed computer use started like looking at pictures of Yellowstone national park or something like this. I don't know if you heard about this anecdote, but like people were like, oh, it's so human, it's looking for vacation.[00:34:40] Speaker: And it was like, no, it probably just misclicked on the wrong pixels and accidentally clicked on an ad. So like this is the simplest way. The second simplest way. You take the HTML and you basically identify elements in the HTML. You don't use any vision whatsoever. And then you say, okay, I want to click on this element.[00:34:59] Speaker: I want to enter text [00:35:00] in this element or something like that. But HTML is too huge. So it actually, it usually gets condensed down into something called an accessibility tree, which was made for screen readers for visually impaired people. And So that's another way. And then the third way is kind of a hybrid where you present the screenshot, but you also present like a textual summary of the output.[00:35:18] Speaker: And that's the one that I think will probably work best. What we're using is we're just using text at the moment. And that's just an implementation issue that we haven't implemented the. Visual stuff yet, but that's kind of like we're working on it now. Another thing that I should point out is we actually have two modalities for web browsing.[00:35:35] Speaker: Very recently we implemented this. And the reason why is because if you want to interact with full websites you will need to click on all of the elements or have the ability to click on all of the elements. But most of our work that we need websites for is just web browsing and like gathering information.[00:35:50] Speaker: So we have another modality where we convert all of it to markdown because that's like way more concise and easier for the agent to deal with. And then [00:36:00] can we create an index specifically for agents, maybe a markdown index or something like that would be, you know, would make sense. Oh, how would I make a successor to Swebench?[00:36:10] Speaker: So I mean, the first thing is there's like live code bench, which live code bench is basically continuously updating to make sure it doesn't leak into language model training data. That's easy to do for Swebench because it comes from real websites and those real websites are getting new issues all the time.[00:36:27] Speaker: So you could just do it on the same benchmarks that they have there. There's also like a pretty large number of things covering various coding tasks. So like, for example, Swebunch is mainly fixing issues, but there's also like documentation, there's generating tests that actually test the functionality that you want.[00:36:47] Speaker: And there there was a paper by a student at CMU on generating tests and stuff like that. So I feel like. Swebench is one piece of the puzzle, but you could also have like 10 different other tasks and then you could have like a composite [00:37:00] benchmark where you test all of these abilities, not just that particular one.[00:37:04] Speaker: Well, lots, lots of other things too, but[00:37:11] Speaker 2: Question from across. Use your mic, it will help. Um,[00:37:15] Speaker 5: Great talk. Thank you.[00:37:16] Q&A: Agent Architectures and Improvements[00:37:16] Speaker 5: My question is about your experience designing agent architectures. Specifically how much do you have to separate concerns in terms of tasks specific agents versus having one agent to do three or five things with a gigantic prompt with conditional paths and so on.[00:37:35] Speaker: Yeah, so that's a great question. So we have a basic coding and browsing agent. And I won't say basic, like it's a good, you know, it's a good agent, but it does coding and browsing. And it has instructions about how to do coding and browsing. That is enough for most things. Especially given a strong language model that has a lot of background knowledge about how to solve different types of tasks and how to use different APIs and stuff like that.[00:37:58] Speaker: We do have [00:38:00] a mechanism for something called micro agents. And micro agents are basically something that gets added to the prompt when a trigger is triggered. Right now it's very, very rudimentary. It's like if you detect the word GitHub anywhere, you get instructions about how to interact with GitHub, like use the API and don't browse.[00:38:17] Speaker: Also another one that I just added is for NPM, the like JavaScript package manager. And NPM, when it runs and it hits a failure, it Like hits in interactive terminals where it says, would you like to quit? Yep. Enter yes. And if that does it, it like stalls our agent for the time out until like two minutes.[00:38:36] Speaker: So like I added a new microagent whenever it started using NPM, it would Like get instructions about how to not use interactive terminal and stuff like that. So that's our current solution. Honestly, I like it a lot. It's simple. It's easy to maintain. It works really well and stuff like that. But I think there is a world where you would want something more complex than that.[00:38:55] Speaker 5: Got it. Thank you.[00:38:59] Speaker 6: I got a [00:39:00] question about MCP. I feel like this is the Anthropic Model Context Protocol. It seems like the most successful type of this, like, standardization of interactions between computers and agents. Are you guys adopting it? Is there any other competing standard?[00:39:16] Speaker 6: Anything, anything thought about it?[00:39:17] Speaker: Yeah, I think the Anth, so the Anthropic MCP is like, a way to It, it's essentially a collection of APIs that you can use to interact with different things on the internet. I, I think it's not a bad idea, but it, it's like, there's a few things that bug me a little bit about it.[00:39:40] Speaker: It's like we already have an API for GitHub, so why do we need an MCP for GitHub? Right. You know, like GitHub has an API, the GitHub API is evolving. We can look up the GitHub API documentation. So it seems like kind of duplicated a little bit. And also they have a setting where [00:40:00] it's like you have to spin up a server to serve your GitHub stuff.[00:40:04] Speaker: And you have to spin up a server to serve your like, you know, other stuff. And so I think it makes, it makes sense if you really care about like separation of concerns and security and like other things like this, but right now we haven't seen, we haven't seen that. To have a lot more value than interacting directly with the tools that are already provided.[00:40:26] Speaker: And that kind of goes into my general philosophy, which is we're already developing things for programmers. You know,[00:40:36] Speaker: how is an agent different than from a programmer? And it is different, obviously, you know, like agents are different from programmers, but they're not that different at this point. So we can kind of interact with the interfaces we create for, for programmers. Yeah. I might change my mind later though.[00:40:51] Speaker: So we'll see.[00:40:54] Speaker 7: Yeah. Hi. Thanks. Very interesting talk. You were saying that the agents you have right now [00:41:00] solve like maybe 30 percent of your, your issues out of the gate. I'm curious of the things that it doesn't do. Is there like a pattern that you observe? Like, Oh, like these are the sorts of things that it just seems to really struggle with, or is it just seemingly random?[00:41:15] Speaker: It's definitely not random. It's like, if you think it's more complex than it's. Like, just intuitively, it's more likely to fail. I've gotten a bit better at prompting also, so like, just to give an example it, it will sometimes fail to fix a GitHub workflow because it will not look at the GitHub workflow and understand what the GitHub workflow is doing before it solves the problem.[00:41:43] Speaker: So I, I think actually probably the biggest thing that it fails at is, um, er, that our, our agent plus Claude fails at is insufficient information gathering before trying to solve the task. And so if you provide all, if you provide instructions that it should do information [00:42:00] gathering beforehand, it tends to do well.[00:42:01] Speaker: If you don't provide sufficient instructions, it will try to solve the task without, like, fully understanding the task first, and then fail, and then you need to go back and give feedback. You know, additional feedback. Another example, like, I, I love this example. While I was developing the the monitor website that I, I showed here, we hit a really tricky bug where it was writing out a cache file to a different directory than it was reading the cache file from.[00:42:26] Speaker: And I had no idea what to do. I had no idea what was going on. I, I thought the bug was in a different part of the code, but what I asked it to do was come up with five possible reasons why this could be failing and decreasing order of likelihood and examine all of them. And that worked and it could just go in and like do that.[00:42:44] Speaker: So like I think a certain level of like scaffolding about like how it should sufficiently Gather all the information that's necessary in order to solve a task is like, if that's missing, then that's probably the biggest failure point at the moment. [00:43:00][00:43:01] Speaker 7: Thanks.[00:43:01] Speaker 6: Yeah.[00:43:06] Speaker 6: I'm just, I'm just using this as a chance to ask you all my questions.[00:43:09] Q&A: Self-Improving Agents and Authentication[00:43:09] Speaker 6: You had a, you had a slide on here about like self improving agents or something like that with memory. It's like a really throwaway slide for like a super powerful idea. It got me thinking about how I would do it. I have no idea how.[00:43:21] Speaker 6: So I just wanted you to chain a thought more on this.[00:43:25] Speaker: Yeah, self, self improving. So I think the biggest reason, like the simplest possible way to create a self improving agent. The problem with that is to have a really, really strong language model that with infinite context, and it can just go back and look at like all of its past experiences and, you know, learn from them.[00:43:46] Speaker: You might also want to remove the bad stuff just so it doesn't over index on it's like failed past experiences. But the problem is a really powerful language model is large. Infinite context is expensive. We don't have a good way to [00:44:00] index into it because like rag, Okay. At least in my experience, RAG from language to code doesn't work super well.[00:44:08] Speaker: So I think in the end, it's like, that's the way I would like to solve this problem. I'd like to have an infinite context and somehow be able to index into it appropriately. And I think that would mostly solve it. Another thing you can do is fine tuning. So I think like RAG is one way to get information into your model.[00:44:23] Speaker: Fine tuning is another way to get information into your model. So. That might be another way of continuously improving. Like you identify when you did a good job and then just add all of the good examples into your model.[00:44:34] Speaker 6: Yeah. So, you know, how like Voyager tries to write code into a skill library and then you reuse as a skill library, right?[00:44:40] Speaker 6: So that it improves in the sense that it just builds up the skill library over time.[00:44:44] Speaker: Yep.[00:44:44] Speaker 6: One thing I was like thinking about and there's this idea of, from, from Devin, your, your arch nemesis of playbooks. I don't know if you've seen them.[00:44:52] Speaker: Yeah, I mean, we're calling them workflows, but they're simpler.[00:44:55] Speaker 6: Yeah, so like, basically, like, you should, like, once a workflow works, you can kind of, [00:45:00] like, persist them as a skill library. Yeah. Right? Like I, I feel like that there's a, that's like some in between, like you said, you know, it's hard to do rag between language and code, but I feel like that is ragged for, like, I've done this before, last time I did it, this, this worked.[00:45:14] Speaker 6: So I'm just going to shortcut. All the stuff that failed before.[00:45:18] Speaker: Yeah, I totally, I think it's possible. It's just, you know, not, not trivial at the same time. I'll explain the two curves. So basically, the base, the baseline is just an agent that does it from scratch every time. And this curve up here is agent workflow memory where it's like adding the successful experiences back into the prompt.[00:45:39] Speaker: Why is this improving? The reason why is because just it failed on the first few examples and for the average to catch up it, it took a little bit of time. So it's not like this is actually improving it. You could just basically view the this one is constant and then this one is like improving.[00:45:56] Speaker: Like this, basically you can see it's continuing to go [00:46:00] up.[00:46:01] Speaker 8: How do you think we're going to solve the authentication problem for agents right now?[00:46:05] Speaker: When you say authentication, you mean like credentials, like, yeah.[00:46:09] Speaker 8: Yeah. Cause I've seen a few like startup solutions today, but it seems like it's limited to the amount of like websites or actual like authentication methods that it's capable of performing today.[00:46:19] Speaker: Yeah. Great questions. So. My preferred solution to this at the moment is GitHub like fine grained authentication tokens and GitHub fine grained authentication tokens allow you to specify like very free. On a very granular basis on this repo, you have permission to do this, on this repo, you have permission to do this.[00:46:41] Speaker: You also can prevent people from pushing to the main branch unless they get approved. You can do all of these other things. And I think these were all developed for human developers. Or like, the branch protection rules were developed for human developers. The fine grained authentication tokens were developed for GitHub apps.[00:46:56] Speaker: I think for GitHub, maybe [00:47:00] just pushing this like a little bit more is the way to do this. For other things, they're totally not prepared to give that sort of fine grained control. Like most APIs don't have something like a fine grained authentication token. And that goes into my like comment that we're going to need to prepare the world for agents, I think.[00:47:17] Speaker: But I think like the GitHub authentication tokens are like a good template for how you could start doing that maybe, but yeah, I don't, I don't, I don't have an answer.[00:47:25] Speaker 8: I'll let you know if I find one.[00:47:26] Speaker: Okay. Yeah.[00:47:31] Live Demonstration and Closing Remarks[00:47:31] Speaker: I'm going to finish up. Let, let me just see.[00:47:37] Speaker: Okay. So this one this one did write a script. I'm not going to actually read it for you. And then the other one, let's see.[00:47:51] Speaker: Yeah. So it sent a PR, sorry. What is, what is the PR URL?[00:48:00][00:48:02] Speaker: So I don't, I don't know if this sorry, that's taking way longer than it should. Okay, cool. Yeah. So this one sent a PR. I'll, I'll tell you later if this actually like successfully Oh, no, it's deployed on Vercel, so I can actually show you, but let's, let me try this real quick. Sorry. I know I don't have time.[00:48:24] Speaker: Yeah, there you go. I have pie charts now. So it's so fun. It's so fun to play with these things. Cause you could just do that while I'm giving a, you know, talk and things like that. So, yeah, thanks. Get full access to Latent Space at www.latent.space/subscribe

We all have moments we do things that seem disproportionate or a bit off. We have reactions that just don't seem to match up to other people. These can often be frustrating and destructive. Some of what we "remember" we hold subconsciously; it can affect us without us realizing why Join me in this episode as discuss what "implicit memory" is and how it affects you. I talk about how to find those memories and what to do about them. Ultimately everything comes back to surrender to the Lord - but we only have a chance to do that when we identify what specifically to surrender. I also invite you to check out my free Manly Strengths Assessment at https://catholiclifecoachformen.com/manly-strengths-assessment-signup/

Implicit bias toward people who are unmarried and do not have children is pervasive throughout medical education, protocol, and practice. Models of healthcare based on a presumed family structure are neither inclusive nor safe when patients have different experiences and outcomes based on marital status. Healthcare access, hospital release requirements, post-procedure care, and treatment are designed for those with specific social and familial structures and relationships. The dangers posed throughout the medical field can leave patients to navigate on their own, amidst these unrecognized barriers. How does this impact the quality of healthcare an unmarried person receives? Today's guest is Joan DelFattore, a professor emerita at the University of Delaware. She has researched, written, and spoken widely on singlist bas in medical care. She will share how this bias can significantly affect cancer treatment and the ways medical authors justify the disparate treatment of married and unmarried cancer patients who are otherwise similar. We will discuss what can be done to reduce these adverse outcomes, and the urgent changes we need now. Tune in live to learn more about what you can do to create change amidst healthcare inequity impacting our demographic.

Join us in this episode of the Modern Pain Podcast as we sit down with Brian Pulling to explore groundbreaking research on why people with knee osteoarthritis avoid physical activity despite its known benefits. Brian shares insights from a study using the Implicit Association Test (IAT) to uncover subconscious beliefs associating movement with danger. We delve into how these implicit threat associations differ from explicit beliefs and the implications for clinical practice. Brian also shares his personal journey from physical therapy training in the U.S. to becoming a leading researcher in Australia. This episode is packed with valuable information for clinicians looking to improve pain management strategies and help patients move more confidently.ARTICLE*********************************************************************

Gary is joined by Ray Power to discuss the intricacies of coaching styles and why we should potentially be a little more deliberate in the style we choose for the way we want to play. Implicit vs. Explicit Learning Styles! You can contact Ray if you would like to follow up below: power.ray@hotmail.co.uk

Ever wondered how your first impressions as a clinical supervisor shape your evaluations? This episode uncovers the findings from a recent study on the role of first impressions in performance-based assessments. Learn how explicit and implicit biases can affect your judgment and what you can do to ensure fair and accurate evaluations. Don't miss this essential discussion on improving your assessment practices!Episode host: Linda SnellYou can find episode notes and resources at the Papers Podcast episode website.Episode article:Wood, T. J., Daniels, V. J., Pugh, D., Touchie, C., Halman, S., & Humphrey-Murto, S. (2024). Implicit versus explicit first impressions in performance-based assessment: Will raters overcome their first impressions when learner performance changes? Advances in Health Sciences Education, 29(4), 1155–1168.PAPERs Podcast are:Hosts: Lara Varpio, Jason Frank, Jonathan Sherbino, Linda SnellTechnical Producer: Samuel LundbergWeb Manager: Alex AlexanderssonExecutive Producer: Teresa SöröProduction of Teaching and Learning at Karolinska Institutet

In this episode, we embark on a catharsis regarding bosses who change their minds, can't make a decision or jerk us around.    When bosses change their minds it impacts us as workers.  These changes mean we often redo our work or work we have done becomes unnecessary.  This impacts the meaningfulness of our work - and what was useful work is often not meaningful work when we just need to redo it.  The impact of mind changing can also make us feel disregarded and not valued - and demoralizing.   Implicit - and maybe obvious - in changing a decision is there is change and change is hard and lots of change can really mean chaos.     What are some approaches to managing situations when it seems like direction from those above us is changing?  Harvard Business Review suggests a “tee-up” with what changes in process, events and decisions have occurred that led to how your team got to a particular place - through whatever circuitous journey.  Another idea is to ask questions about the change, which can help us understand how we got to the place and may provide useful feedback to your boss.  Bosses do not have all of the information we have and communicating that can be helpful.   And it may be you just need a cocktail or a hot bath - or both - because change and revisiting work can be exhausting especially when it happens again and again.

Send us a textTeaser“Why do we make the choices we do, and how does that impact workplace inclusivity? Toby Mildon welcomes Dr Joshua Fullard, Assistant Professor of Behavioural Science at Warwick Business School, for a deep dive into decision-making and the biases that shape our behaviour.”Episode OverviewIn this episode of The Inclusive Growth Podcast, Toby Mildon speaks with Dr Joshua Fullard about:The role of behavioural science in understanding decision-makingInsights into implicit biases, such as the beauty premium and similarity biasHow assumptions about appearance and identity impact workplace dynamics and hiring practicesThe importance of diversity in education and why it matters for student outcomesKey TakeawaysExploring Behavioural Science: Dr Fullard shares insights into how behavioural science helps us understand biases and the factors influencing decisions.The Beauty Premium: People deemed more attractive often receive more positive outcomes, yet this ‘beauty premium' has complex effects, including heightened performance expectations.Implicit Bias in Hiring: Biases, such as favouring candidates who mirror the decision-makers, impact hiring practices and workplace inclusion.Diversity in Education: Representation in teaching roles impacts students' self-belief, engagement, and career aspirations, highlighting a need for greater diversity among educators.Guest BioDr Joshua Fullard is an Assistant Professor of Behavioural Science at Warwick Business School, specialising in decision-making processes, biases, and the psychology behind choices. With a strong background in applied labour economics, his research sheds light on how biases affect workplace and educational outcomes.Timestamps0:00 – Introduction to the episode3:20 – Dr Fullard's background and his journey into behavioural science10:00 – What is the beauty premium, and why does it matter?15:45 – Implicit biases in hiring: in-group and out-group effects28:00 – Role models in education: why diversity in teachers matters35:10 – Advice on fostering diversity and inclusion in schools and workplacesCall to ActionIf you enjoyed this episode, please subscribe and leave a review to support The Inclusive Growth Podcast!Links & ResourcesWarwick Business School: Warwick Business School WebsiteContact Dr Fullard: LinkedIn | Google Scholar – Explore Dr Fullard's researchToby's Book: Inclusive Growth by Toby Mildon – Available on AmazonContact InfoToby Mildon: WebsiteIf you're enjoying this episode and looking to boost equity, inclusion, and diversity in your organisation, my team and I are here to help. Our team specialises in crafting data-driven strategies, developing inclusive leaders, designing fair recruitment processes, and enhancing disability confidence. With a blend of professional expertise and lived experience, we're ready to support you on your journey. Reach out to us through our website. If you want to build a more inclusive workplace that you can be proud of please visit our website to learn more.

Cancer cancelled. Do good seva FAITH. Someone made a beautiful acronym of this potent word and expanded it as Forsaking All I Trust Him. Mr Bhoopal's journey to Bhagawan started in the 1960s. Even before seeing Swami, he had developed strong faith based on what he had heard about Him. And once he had His first darshan, this faith became so rock solid in his heart that no matter what challenges came to him, be it life-threatening illnesses or career-destroying professional tests, unfazed, he stuck to His lotus feet and in each of these instances he experienced a miracle that took his breath away. Even as Mr Bhoopal continues to serve as a Trustee in the Sri Sathya Sai Trust, Tamil Nadu, may this Satsang serve to bolster our faith as we strive to experience more and more of His grace.

Memory is the way in which a past experience affects how the mind will function in the present. There are two layers of memory: explicit and implicit. There are two key attributes of implicit memory that are critical to understand. First, implicit memories are created whether you are paying attention or not. In other words, when you were a child, you recorded tons of information about your environment without trying to. It just happened. Because that's how the brain works. Second, when you recall something that is stored in implicit memory, you do not have the sensation of recall. You don't have that sense in your body of “I'm thinking back in time and remembering something.” When we leave home and set out into the world, we carry within us a storehouse of implicit memories. And those implicit memories tell us what to expect around every bend. 

Step into the rich and vibrant garden of Puritan wisdom with Charles Spurgeon, one of the most beloved preachers and authors in recent Christian history. In Flowers from a Puritan's Garden, Spurgeon prayerfully selects and expands upon the profound insights and analogies gleaned from Thomas Manton's sermons. Each “flower” in this garden is a spiritual truth, lovingly cultivated and presented with Spurgeon's signature warmth, wit, and pastoral care. Whether you are a long-time admirer of Puritan writings or new to their influence, Flowers from a Puritan's Garden offers a refreshing and spiritually nourishing read. Perfect for daily devotions, personal study, or as a gift to those seeking encouragement in their Christian journey, this book will help readers to see the beauty of God's truth as it applies to our lives. Discover the timeless beauty of following Christ through the eyes of one of history's greatest preachers, and allow the truths in these pages to blossom in your heart. About the Author Charles Haddon (C. H.) Spurgeon (1834-1892) was a British Baptist preacher. He started preaching at age 16 and quickly became famous. He is still known as the “Prince of Preachers” and frequently had more than 10,000 people present to hear him preach at the Metropolitan Tabernacle in London. His sermons were printed in newspapers, translated into many languages, and published in many books.

There are many lies we are told in school with the most major ones being that Native Americans broke bread with pilgrims, that the food pyramid was healthy, and that racism ceased to exist because slavery was abolished. In this episode, I dive into the lies I was told, how that shaped my worldview, and how I changed it.  Key Takeaways:    [2:17] You'll need algebra in real life they say  [3:36] Public education is supposed to level the playing field  [5:36] The hidden curriculum  [11:53] Implicit bias  [13:22] The lies about the Native Americans and Christopher Colombus  [19:04] Not being on time or getting a degree makes you a bad employee  [21:09] Teaching evolution vs Adam and Eve [24:36] Perspectives and how much textbook companies control information [27:11] Christopher Colombus, Native Americans, and racism [33:57] The tea behind the Boston Tea Party [35:18] The Food Pyramid poisoned people  [37:50] Learning styles are fake  [39:56] DARE program and alcohol culture  [41:02] STDs, abstinence education and AIDS  [43:57] The Civil War being about states rights or slavery [47:29] Boarding schools for Native Americans  [49:22] Seeing history from others perspectives and how questions are perceived   Resources:   Hidden Figures Lessons in Chemistry  The Biggest Lies  Lies My Teacher Told Me Dances of Wolves      Connect with Barb:   Website   Facebook    Instagram   Be a guest on the podcast    YouTube   The Molly B Foundation  

This episode shares a little on the topics of belonging, being good enough, mirror reflections of the self...implicit memory and how it shows up in the body and everyday experiences. Parts work or IFS (Internal Family Systems), my new professional direction and a little on life updates. Thank you for being here and supporting the podcast! -Marisa

Implicit bias toward people who are unmarried and do not have children is pervasive throughout medical education, protocol, and practice. Models of healthcare based on a presumed family structure are neither inclusive nor safe when patients have different experiences and outcomes based on marital status. Healthcare access, hospital release requirements, post-procedure care, and treatment are designed for those with specific social and familial structures and relationships. The dangers posed throughout the medical field can leave patients to navigate on their own, amidst these unrecognized barriers. How does this impact the quality of healthcare an unmarried person receives? Today's guest is Joan DelFattore, a professor emerita at the University of Delaware. She has researched, written, and spoken widely on singlist bas in medical care. She will share how this bias can significantly affect cancer treatment and the ways medical authors justify the disparate treatment of married and unmarried cancer patients who are otherwise similar. We will discuss what can be done to reduce these adverse outcomes, and the urgent changes we need now. Tune in live to learn more about what you can do to create change amidst healthcare inequity impacting our demographic.

Implicit bias toward people who are unmarried and do not have children is pervasive throughout medical education, protocol, and practice. Models of healthcare based on a presumed family structure are neither inclusive nor safe when patients have different experiences and outcomes based on marital status. Healthcare access, hospital release requirements, post-procedure care, and treatment are designed for those with specific social and familial structures and relationships. The dangers posed throughout the medical field can leave patients to navigate on their own, amidst these unrecognized barriers. How does this impact the quality of healthcare an unmarried person receives? Today's guest is Joan DelFattore, a professor emerita at the University of Delaware. She has researched, written, and spoken widely on singlist bas in medical care. She will share how this bias can significantly affect cancer treatment and the ways medical authors justify the disparate treatment of married and unmarried cancer patients who are otherwise similar. We will discuss what can be done to reduce these adverse outcomes, and the urgent changes we need now. Tune in live to learn more about what you can do to create change amidst healthcare inequity impacting our demographic.

Where are my fellow control freaks? Such an interesting and way more helpful perspective to rethink and redefine perfectionism. You know when you read a book and it's so groundbreaking and helpful, you can't help but tell all your friends, post about it? Well, I was the recipient of essentially being attacked on all sides that I needed to read this award-winning book, The Perfectionists' Guide to Losing Control by Katherine Morgan Schafler. Katherine is a seasoned psychotherapist and former in-house therapist for Google, with a BA in psychology from Berkeley and 2 masters from Columbia University and I've got her incredibly refreshing and game-changing approach broken down today. We talk about self-punishment vs. discipline. We talk about adaptive and maladaptive perfectionism and why restoration and resting feels like failure to perfectionists - and my favorite, control vs. power. I really am super excited for you to hear it and can't wait to hear what type of perfectionist are you!Timestamps:[00:10:01] Redefining Perfectionism[00:13:14] Gender bias in language.[00:17:22] Perfectionism and power seeking.[00:23:10] Five types of perfectionism.[00:27:21] Parisian Perfectionists and Relationships.[00:31:26] Knowing your type of perfectionism and collaborating with others[00:34:10] Self-worth and self-esteem.[00:39:03] Rethinking self-punishment and discipline.[00:42:14] Emotional education and self-compassion.[00:50:07] Resisting rest and restoration[00:54:12] Restoring and emptying out.[00:58:37] The Power of Play.[01:02:07] Presence and Power.[01:07:37] Gray rocking techniqueKatherine Morgan Schafler - Guest Links:The Perfectionists Guide to Losing Control - A Path to Peace and PowerWhat kind of Perfectionist are you? Take the QuizKatherine Morgan Schafler - IGReferences mentioned:Schedule a FREE breakthrough call with me Want to take these ideas and apply them to your life? Let's do it!DOWNLOAD the free PDF - 40 Simple Ways to Add Energy To Your Day- get a quick burst of energy right now and KEEP IT!Surprisingly True Useful Fun Fact Research Be sure to rate, review, and follow this podcast on your player and also, connect with me IRL for more goodness and life-changing stuff.AllisonHare.comFollow me on Instagram, LinkedIn, Facebook, and YouTube.Schedule a FREE breakthrough call with me Want to take these ideas and apply them to your life? Let's do it!DOWNLOAD the free PDF - 40 Simple Ways to Add Energy To Your Day- get a quick burst of energy right now and KEEP IT!GET the Effectiveness Booster - Shift your priorities to what matters most in less than a minute!Reb3l Dance Fitness - Try it at home! Free month with this link.Personal Brand - need help building yours? Schedule a call with me here and let's discuss.Feedback and Contact:: allison@allisonhare.com

We're in the month that matters with games that matter, assuming you're the kind of person who aligns your shirts or your thoughts to bring your team luck. The Mets are making September matter deeply thanks to, among other things, airtight defense, which Greg and Jeff salute...as they do Francisco Lindor (something that's become a habit). The question ultimately permeating National League Town's discourse most this week is less “how will Jeff McNeil's absence impact the depth of the lineup?” and more “how could a wonderful young couple plan their wedding without consulting the Mets' schedule?”

This is an Impact Pricing Blog published on June 13, 2024, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/collusion-vs-implicit-collusion-navigating-legal-and-profitable-pricing-strategies/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/  

There are only two political stories on our agenda this week, both from the top of the ballot: the “will he or won't he” waiting about President Biden, and the GOP National Convention which they branded as a unifying event but, in reality, only united the dominant MAGA movement while horrifying just about everyone else. Key to the discussion over the Democratic ticket: polls, polls, polls. Links to some of the most credible: Public Policy Poll: Michigan & Pennsylvania Most say Biden should withdraw from the Presidential race - AP-NORC YouGov Michigan Senate Poll - July 4-12 YouGov Poll - Harris for President, Issues Blue Labs Polling of Alternative nominees - Kelly, Moore, Shapiro, Whitmer The Republican convention was a four-day celebration of lies, half-truths and grievances in the style of their Lord and Savior, would-be Dictator-on-Day-One Donald. Fact-checkers worked overtime to chronicle the most outrageous denials of reality, including the team at The Washington Post: Fact-checking Day 1 of the 2024 Republican National Convention - The Washington Post Fact-checking Day 2 of the 2024 Republican National Convention - The Washington Post Fact-checking Day 3 of the 2024 Republican National Convention - The Washington Post Fact-checking Day 4 of the 2024 Republican National Convention - The Washington Post One of the many outrages in the Republican Party Platform is the outright call to return women's rights to the 1950's June Cleaver model: the perfect homemaker whose primary function is giving birth. Trump brags about getting Roe overturned by his appointments to the Supreme Court, Vance has endorsed a nationwide abortion ban with no exceptions. Implicit in the agenda are bans on contraception and fertility treatments including invitro fertilization. Women are the driving force for Michigan Democrats. A majority of both the House and Senate Democratic caucuses are women; most of the state's top elected leaders are women. Joining the discussion to talk about the implications of the GOP misogyny for November: state Senator Dayne Polehanki of Livonia. She is a two-time Teacher of the Year award winner and has nearly 20 years of experience in the classroom. She serves as the Majority Caucus Chair for the Michigan Senate Democrats and is in her second term. Polehanki earned her bachelor's degree in psychology from Central Michigan University, has a major in English and teacher certification from Alma College, and a master's degree in teaching from Marygrove College. =========================== This episode is sponsored in part by EPIC ▪ MRA,  a full service survey research firm with expertise in: • Public Opinion Surveys • Market Research Studies • Live Telephone Surveys • On-Line and Automated Surveys • Focus Group Research • Bond Proposals - Millage Campaigns • Political Campaigns & Consulting • Ballot Proposals - Issue Advocacy Research • Community - Media Relations • Issue - Image Management • Database Development & List Management =========================== The 34 for 45 Commemorative Mug Felony schmelony! Get your "34 for 45" mug today!  

Scarborough's Reading Rope highlights the necessity of both word recognition and language comprehension for developing skilled readers. In this episode, I focus on effective vocabulary instruction, a crucial component of language comprehension. I will discuss both implicit and explicit vocabulary instruction methods and their role in enhancing students' vocabulary and reading comprehension.Explicit vocabulary instruction involves directly teaching new words to students, allowing teachers to be intentional about the vocabulary they introduce. In contrast, implicit vocabulary instruction occurs spontaneously during teachable moments and is less structured but natural. However, teaching vocabulary effectively goes beyond knowing word definitions; it requires a deep understanding of instructional strategies. Listen to this episode for ways to effectively teach both implicit and explicit vocabulary in your classroom.The importance of vocabulary instruction is underscored by the Matthew Effect, which suggests that students with a strong vocabulary foundation can accelerate their learning more quickly than their peers with limited vocabulary. A rich vocabulary makes it easier for students to comprehend complex texts, leading to further vocabulary acquisition and improved reading skills. Conversely, students with poor vocabulary face challenges in progressing and understanding new words from complex texts. Therefore, intentional teaching of both explicit and implicit vocabulary is essential to boost students' reading comprehension and overall literacy skills.Join us in the Stellar Literacy Collective Membership: stellarteacher.com/join!Sign up for my FREE private podcast, the Confident Writer Systems Series, here!Sign up for my FREE Revision Made Easy email series here!Follow me on Instagram @thestellarteachercompany. To check out all of the resources from this episode, head to the show notes: https://www.stellarteacher.com/episode201

In episode 104 of Bionic Planet, I delve into the intricacies of carbon finance with my guest, David Antonioli. We explore the concept of transformational finance, where carbon payments are used to catalyze sustainable practices that can eventually stand on their own. We discuss the limitations of the current additionality tool, which focuses on individual project assessments, and the need for a more holistic approach to drive long-term sector-wide transitions. David Antonioli, with his extensive experience in climate change and carbon markets, shares insights on the need for a paradigm shift in carbon finance. He emphasizes the importance of designing the system to address what happens when carbon finance ends and the necessity of building a foundation for the future of sustainable practices. We touch upon real-world examples, such as projects in Paraguay shifting from cattle ranching to sustainable timber harvesting, to illustrate the challenges of individual project assessments and the potential for sector-wide transformations. We discuss the need for thoughtful simplifications in research and understanding market dynamics to identify positive tipping points that can lead to sustainable transitions. Furthermore, we highlight the positive list approach adopted by organizations like the Climate Action Reserve and the California Resources Board, which use standardized methods to define additional activities upfront. This approach streamlines the process and sets a clear path for achieving long-term sustainability goals. Overall, the episode delves into the complexities of carbon finance, the importance of explicit transformational strategies, and the potential for sector-wide transitions to drive sustainable practices in the future. Timestamps 00:00:00 - Introduction to Transformational Finance 00:05:30 - Challenges in Carbon Accounting 00:10:39 - Critique of Additionality Concept 00:14:39 - Importance of Holistic Understanding 00:17:27 - Need for Interlocking Solutions 00:20:36 - Overhauling Local Economies 00:23:15 - Implicit vs. Explicit Transformation 00:27:06 - Addressing Entrenched Interests 00:33:43 - Proposal for Sector-Wide Transformation 00:38:02 - Limitations of Current Additionality Tools 00:42:24 - Focus on Sector-Wide Transformation 00:45:06 - Procedures for Overhauling Local Economies Quotes "We know that the enemy is carbon, and we know its ugly face. We should put a big fat price on it, and of course, add to that, drop the subsidies." - 00:00:20 "Everything else is a bonus, a positive externality that critics of carbon finance choose to ignore." - 00:01:42 "We're missing the forest for the trees." - 00:14:15 "We're so focused on every single little branch that we've lost what the bigger opportunity is." - 00:44:22 "We're so in the weeds of the detail." - 00:44:32 "We're so focused on every single little branch that we've lost what the bigger opportunity is." - 00:44:22 "We're so in the weeds of the detail." - 00:44:32 "We're so focused on every single little branch that we've lost what the bigger opportunity is." - 00:44:22 "We're so in the weeds of the detail." - 00:44:32 "We're so focused on every single little branch that we've lost what the bigger opportunity is." - 00:44:22