Podcasts about Harness

The right words can open doors—but the best negotiators know that language works only when it creates genuine connection. In Magic Words: What to Say to Get Your Way, Wharton professor Jonah Berger explains how subtle shifts in language can make us more persuasive, creative, and confident.⁠⁠ Then Mori Taheripour, author of Bring Yourself: How to Harness the Power of Connection to Negotiate Fearlessly, argues that successful negotiation begins with self-knowledge, empathy, and presence.⁠⁠ Together, they reveal how to communicate more effectively without pretending to be someone you're not.

Welcome back to the Series Nine when we dive into the amazing area of tapping into your dreams to improve your life with famous US dream guide to the stars, Patricia Eltinge. Patricia, author, Transactional Analyst therapist & relationship communication specialist, shares insights into how understanding our dreams can aid personal development.  She talks us through how to interpret dreams, the significance of dream symbols, and the therapeutic potential of dream work and shares some examples of how she has worked with clients to help them with self-development. She is the author of the book: The Dream Class - Know Your Dreams, Know Yourself.   Patricia can be found at https://thedreamclass.com/about/ Instagram: @patriciaeltinge Her book: The Dream Class - Know Your Dreams, Know Yourself, is published by Veronica Lane Books   Your dreams are worth inquiring about too! Share a dream or a question via our website driccpe.org.uk or the social links below!   Let us know what you think and submit a dream for us to explore on the podcast!  Instagram @thedreamboatpodcast FaceBook @dreamboatpodcast Twitter @dreamboatpod DRI website: driccpe.org.uk/contact    This podcast is a project of the DRI, the centre for dream studies at CCPE, the psychotherapy college overlooking the canals at London's scenic Little Venice.   Remember you can join the DRI for just £30 a year currently to access discounted events, courses, newsletters and join in the conversation about dreams. Go to driccpe.org.uk/sign-up to join!   Keep dreaming and keep sharing your dreams!   Credits Recorded on Riverside.fm by Dave and Laura Edited by James Ede at Be Heard https://beheard.org.uk  Podcast Artwork Design by Kat Seager Design   Music: Adventures by A Himitsu https://soundcloud.com/a-himitsu  Creative Commons — Attribution 3.0 Unported— CC BY 3.0 Free Download / Stream: http://bit.ly/2Pj0MtT Music released by Argofox https://youtu.be/8BXNwnxaVQE  Music promoted by Audio Library https://youtu.be/MkNeIUgNPQ8 #dream #dreams #recurringdream #nightmares #psychology #research #psychotherapy #trauma #treatment #sleep #transpersonal #science #alchemy #spirituality #jung #lucid #luciddreaming #podcast #dreamwork #technology #AI #artificialintelligence #gpt #individuation #art #surrealism #consciousness   Tags: Insta: @onefulness @dreamresearchinstitute @iasddream   FB: @associationforstudyofdreams  @dreamresearchinstitute 

Harness Racing Presenter & Analyst Brittany Graham joins the show to preview this weekend's harness racing action around the country including Friday Night Lights & racing on Sunday Learn more about your ad choices. Visit megaphone.fm/adchoices

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Today's sponsor: Big builds, small repairs, and everything in between, Nola Builds does it allA hundred years ago today, fingerprint expert Irving Lindsay Leafe became the chief of police in Charlottesville. He would serve in the position for less than six weeks. Both pieces of information can be traced to the archives of the Charlottesville Daily Progress. What else can be found in the digital archives for September 28, 2026? Let me know what you find out!In this edition:* Updates from the Charlottesville Planning Commission that have not yet been reported in this newsletter and perhaps no other place* Charlottesville City Council reappoints Schwarz and Harness to Planning Commission* Schwarz renamed as chair while Yoder remains vice chair* A brief update on the University of Virginia's affordable housing initiative* A brief description of the Missing Middle Committee* Planning Commissioner Carp provides an update on the quick build initiative* Area planners tour the Birdwood* No one speaks at the Planning Commission's public hearing on a Comprehensive Plan updae* A very brief report on the Central LibraryWant to subscribe to an information outlet that still believes in experimenting and innovating with format? If so, put your email address in the box. Charlottesville PC update: Schwarz re-elected chair, update on UVA Housing projectsA slightly less busy week gives us the chance to catch up with items in September that have so far not yet been reported. That includes two meetings that happened on the ninth day of the month at just about the same time.The first is the joint meeting of the Charlottesville City Council and the Charlottesville Redevelopment and Housing Authority called to order by Mayor Juandiego Wade.There are usually no action items on the agendas of work sessions but Council had to make two appointments to the Charlottesville Planning Commission before that body could meet. The terms of Carl Schwarz and Ross Harness expired on August 31, 2026.Before moving on to business with the CRHA, Council reappointed both to new terms. More from the CRHA in the next newsletter.Schwarz served two terms on the Board of Architectural Review from 2014 to the end of 2021 before being appointed to the Planning Commission beginning September 2022. He continues to serve on the BAR as the representative from the Planning Commission.Harness was appointed to the PC earlier this year to fill a vacancy left with the resignation of Phil d'Oronzio. Harness is a realtor with Long and Foster.The Planning Commission also met on September 9 for a regular meeting and the first act was to elect leadership for the next year. Schwarz had been serving as chair and Danny Yoder had been vice chair.“The nominating committee of Hosea Mitchell and myself met, and we would like to request that Carl Schwarz serve again as chair and Danny Yoder serve again as vice chair,” said Commissioner Lyle Solla-Yates.Two of UVA's affordable housing sites in holding pattern With new chairs in place, Planning Commissioners gave updates including non-voting member Michael Joy who had updates on the University of Virginia's plans to contribute land for affordable housing projects. Just before the pandemic, former UVA President Jim Ryan had announced that up to 1,500 units would be built on three sites.UVA selected a group called Preservation of Affordable Housing to develop a two-acre site at the intersection of 10th and Wertland as well as the Piedmont Housing Alliance to build on a 12-acre tract of land off of Fontaine Avenue known as Piedmont.Both are in a holding pattern and Joy said both projects are dealing with fundamental shifts in what he called the affordable housing industry.“These shifts have been creating funding challenges, both nationally and locally, which is impacting affordable housing development,” Joy said. “The timing for this construction is contingent on the financing and the entitlements, and both of which are currently being worked through.”Preservation of Affordable Housing had submitted plans for a six story building at 1000 Wertland Street that would have 180 units with about 16,000 square feet of non-residential space.The city's Department of Neighborhood Development Services signed off on a development plan but a final site plan will need to be approved. In addition, the project needs a Certificate of Appropriateness from the BAR, a body that was not ready to grant one in February 2025.The Piedmont Housing Alliance submitted a rezoning in December 2025 for the Piedmont site for 375 units but has since asked for an indefinite deferral.“Both of these sites are being treated as unique developments and they'll continue to progress on their own timelines,” Joy said.The third site is at North Fork and UVA has selected Bluestone Land LLC as a development partner.“North Fork is a very different site from the initial two properties in terms of size, scale, project phasing, and affordability mix,” reads the website of the President's Council on UVA-Community Partnerships. “We anticipate market rate and workforce/middle-income housing in addition to affordable units at this site.”Previous coverage:* University of Virginia resumes housing initiative for up to 1,500 units, April 30, 2021* UVA announces three sites for affordable housing projects, December 14, 2021* University of Virginia issues first request for qualifications for affordable housing developer, June 10, 2022* Nonprofits have been asked to work on UVA housing projects, February 15, 2023* UVA Foundation seeks firms to build 600 units of mixed-income housing at North Fork, November 26, 2024* A quick update on the UVA Housing Initiative, July 24, 2026* UVA still committed to affordable housing initiative launched during Ryan administration, C-Ville Weekly, July 29, 2026Sponsored message: Panorama Natural BurialAt Panorama Natural Burial, we believe caring for the deceased can be simple, meaningful, and deeply connected to the natural world. As a natural burial ground just outside Charlottesville, we offer families an alternative to traditional burial that honors both the people we love and the land that will carry them forward.Whether you are planning ahead, navigating a recent loss, or are just curious about natural burial, we welcome the conversation. We host regular tours and community events throughout the year. At Panorama we are building new ways of understanding death, land, ecology, ritual, memory, and community. We believe that building community around death care helps us all to live fuller lives. We are open to the public daily 9 a.m. to 7 p.m. Come visit!Missing Middle working group updateLast week, the Stony Point Development Group held a required community meeting for the third phase of Dairy Central, a mixed-use project that is just under the threshold required for City Council to approve a special exception permit for additional height. In other words, this project is by-right under the city's 2023 zoning code.That Development Code is the third and final component of the Cville Plans Together initiative, a series of projects intended to increase the amount of housing that could be built across the city of Charlottesville.The Affordable Housing Plan was the first and it called for “soft density” across the city which resulted in a Future Land Use Map and a new zoning which allows for many more residential units without City Council's input. “Soft density” is also known as “missing middle” and the ability is embedded in the Development Code.One example of this in practice can be seen at 1040 St. Clair Avenue in the Locust Grove neighborhood on which a single-family home will be demolished to make way for six units. The 0.213 acre parcel is zoned Residential-A, which allows six units on a lot if half of them are designated affordable. Learn more in this story from August 2026. A final site plan has been approved.A working group of developers, staff, and other interested parties is leading efforts to loosen regulations in order to make it even easier for builders to construct more homes. The Planning Commission got an update on this missing middle work group from Ross Harness who said utilities are a barrier.“It was also noted difficulties that arise from the city having a gravity-fed only sewer system and how sometimes that prevents lots in town from even being reached without having a private pump system that… increases the cost of construction of those properties and long-term maintenance on the private side,” Harness said.Harness said there are many city policies that are preventing more housing units from being constructed such as requiring structures built on sublots needing to be spaced apart. He said the purpose of the group is to identify what developers call constraints.“Next steps for this group are a site visit to some of the parcels that some of the members of the subcommittee have so that we can actually get out there and have a little bit more physical discussion about some of these constraints,” Harness said.The Missing Middle work group is an informal committee, but I asked the city to provide a list of members. This was what was provided on September 10.* Local Builders and Developers: Bob Pineo, A.J. Amigoni, Richard Price, Nicole Scro, Dan Zimmerman, Trent Lawhorn, and Dan Rosensweig* Neighborhood Development Service: Matt Alfele, Carrie Rainey, Dannan O'Connell, Ben Koby, Madelyn Metzler, and Chuck Miller* Public Works: Brennan Duncan, Caleb Smith* Fire: Jason Campbell* Utilities: Cody Tusing, Calvin Chan, Chuck Drennen, and Donald Schrager* City Attorney's Office: J Vaden Hunt and one other staff member* Planning Commission: Ross Harnes and Betsy RoettgerLearn more about the Missing Middle Work Group here and also here on Connect Charlottesville. Quick-builds stuck?In the wake of a pedestrian being killed on Elliot Avenue in October 2024, the City of Charlottesville embarked on a series of projects intended to address safety concerns.After consultation with the Fire Department and the Charlottesville Bicycle and Pedestrian Advisory Committee, a list of 67 “quick-build” projects were developed to use low-cost materials as traffic-calming measures. These were to have been completed in 2025.“These projects will rely on existing local capital funds for neighborhood transportation improvements, bicycle infrastructure improvements, and Safe Routes to School Improvements, as well as newly appropriated surplus funds for urgent transportation improvements,” reads the website.Planning Commissioner Josh Carp told his colleagues at the September 9 meeting that the city is far from meeting that goal after having conversations with staff.“We've built about half that list, and the upshot of a long meeting was that there is currently no staffing and no funding available to complete that list or to harden the projects that are already in place,” Carp said.Carp said this will be a topic of discussion when the capital improvement plan budget comes before the PC in November.I've requested additional information and will report back when I can.Previous coverage:* Charlottesville's new transportation planner briefs Council on future process, March 21, 2023* Charlottesville's “quick-build” projects are three-quarters built, August 14, 2025* Deputy City Manager Freas addresses pedestrian fatality on Emmet Street, October 9, 2025* Charlottesville City Council learns of plan to hire at least 42 new bus drivers over next four years, December 13, 2025* Charlottesville City Council briefed on efforts to lower speed limits, prepare new mobility plan, July 31, 2026LUEPC visits the Birdwood MansionIn late 2019, the Albemarle Board of Supervisors and Charlottesville City Council voted to dissolve a public body known as the Planning and Coordination Council which had provided an opportunity for elected officials to meet with their counterparts at UVA at a public meeting.This was replaced by the closed-door Land Use and Environmental Planning Committee which does not include any elected officials and certainly not enough to trigger Virginia's open meeting rules.According to the LUEPC website, the body has not met since May 15.According to Planning Commissioner Hosea Mitchell, LUEPC has met since then but said it was not an update on policy issues.“We went on a field trip,” Mitchell said. “It was a fun field trip. The field trip was to the Birdwood Mansion. The Birdwood Mansion is an edifice that was built between 1819 and 1830.”According to the website, rooms have been available for overnight accommodations since March 2026 at the Ivy Road landmark owned by the University of Virginia Foundation. That organization was created after UVA, Albemarle, and Charlottesville entered into a Three-Party Agreement which established guidelines for planning and development. That also led to the creation of the now-shuttered PACC.Previous LUEPC coverage:* Regional planners get preview of North Fork rezoning, January 12, 2022* Changes may be coming to closed-door planning group, May 10, 2023* Area planners hear from VDOT about desire to coordinate transportation projects, April 16, 2026* Closed-door body briefed on Rivanna Futures, water and sewer upgrade in northern Albemarle, May 14, 2026Two other items from the Planning Commission reports* Schwarz gave an update on a six-story building planned for 915 East High Street which is being developed under the 2003 zoning code rather than the new rules. That means the inclusionary zoning rules do not apply and the number of affordable units will be significantly lower.* Staff in the Department of Neighborhood Development Services continue to work on a second round of “code clean-up” intended to streamline the new rules. The idea is to have a public hearing before the Planning Commission in December. Learn more on the NDS website.No one speaks at Comprehensive Plan public hearingOn Monday, October 5, 2026, Charlottesville City Council will hold a public hearing on an update to the city's Comprehensive Plan. This is not to be confused with the five-year review of the plan which will really get underway sometime next year.The Planning Commission held their public hearing on the current proposed changes to the comp plan on September 9 and heard from Development Planning Manager Matt Alfele who reminded the appointed body that the Comprehensive Plan was last updated in November 2021 and the Community Facilities chapter needs to be updated.“Since then, there have been several amendments, including adoptions of both the Climate Action Plan and the Parks and Recreation Master Plan,” Alfele said. “Since then, there have been updates to city and partner agency Public utility and facility planning maps and projects. It is best practice to periodically update public utilities and facility maps and plans included in the Comprehensive Plan.”For instance, the updated chapter would include a map of the Central Waterline the Rivanna Water and Sewer Authority is currently building.“The scope of the amendment includes adding 2 new strategies, one to adopt relevant RWSA and ACSA plans by reference within the Comprehensive Plan, and one to add future Schenks Branch Sewer Interceptor upgrade project,” Alfele said.The Schenks Branch Sewer Interceptor upgrade is a project mandated by a Virginia Department of Environmental Quality consent decree to replace a pipe from the 1950's. The first phase was installed with the construction of the John Warner Parkway, but the second phase has required negotiations between Albemarle County and Charlottesville. Learn more on this outdated cvillepedia article.No one spoke at the Planning Commission's public hearing and none of the members of the Planning Commission made a comment.JMRL in early planning for upgrade of Central LibraryThe Board of Trustees of the Jefferson Madison Regional Library will meet today at Northside Library, a building owned by Albemarle County that opened to patrons in March 2015.One of the topics on the agenda is the future renovation of Central Library, a building co-owned by Albemarle County and Charlottesville since 1978. Capital budgets in both Albemarle and Charlottesville include money in the current fiscal year for planning and funding in FY29 for construction. Each set aside $857,109 this year and $9,676,141 in FY29.Library Director David Plunkett gave an update at the August 24 meeting.“We're talking about this now, the design and community engagement is happening this year into next year,” Plunkett said. “And then construction those 2 years, a new building opens then.”#1131 is also a podcast!Did you notice that to be the case? For almost half of this newsletter's existence, the newsletter was a script for a podcast. When I left the Piedmont Environmental Council after two very unproductive years, I wasn't sure what form my return to journalism would take. But my dream job used to be working for public radio.I learned sometime in the 2000's I was never going to get hired for that sort of job. I'd worked in public radio for a while, and even moved to Charlottesville to take a full-time position. I was insubordinate, didn't listen to authority, and generally refused to be kept in the box my employer wanted me to be in. I stick to myself and maintain my independence because I learned to stay in the box for my next job. The older I got, the less I could afford to speak my mind so I mostly did my job and kept my mouth shut. For eleven years I did the job well, but this is America where people without connections and long pedigrees tend to get to be the ones who tell people to stay in boxes. In any case, paid subscribers, sponsors, and donors are helping me live out this fantasy of being an independent journalist. This is the work I think I am supposed to do, and the work I think about all of the time now. Even when dreaming. I'm not sure I would recommend this profession to anyone, but yet I wish I could explain how satisfying it is to do this work.Now I need to chill before getting back to work and the solution I think is Can. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit communityengagement.substack.com/subscribe

The war on talent isn't won by matching OTE. Sam Costello knows this and in this segment, breaks down his evolved interviewing approach -- separating stories from facts, owning the dialogue -- and explains why candidates actually stay long-term. It comes down to rare ingredients most companies never get right. Sam Costello is CRO at Harness, where he's spent 7.5 years scaling the platform from sub-$1M to $100M ARR. He interviews ~400 candidates annually and partners closely with co-leader Carlos to build what he calls an 'execution machine', recruiting elite talent, running disciplined sales processes, and developing a culture of radical candor and coachability. Connect with Sam:LinkedIn Listen to the full episode:Why Great CROs Stop Managing Numbers and Start Building Systems Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

This edition of the Harness Players' Podcast is loaded with insight on the harness racing stakes action taking place this Saturday (Sept. 26) at Woodbine Mohawk Park, headlined by the $1 million Mohawk Million 2026! Edison Hatter and Mikee P open the show with analysis of the $100,000 guaranteed All-Stakes Pick 5 starting in Race 6 before Ray Cotolo and Ed Hatter offer a more in-depth breakdown of the $1 million Metro Pace, the co-featured stake on the night. Ray Cotolo and Mikee P then analyze the Mohawk Million final to wrap the show.

Joyce talks about: The drug epidemic in America and realizing that the majority of the homeless and the incarcerated have a history of drug abuse. The soul of America in trouble.President Trump calls Xi Jinping a friend and will be meeting with him at the White House, however, Xi Jinping seems to be positioning his China to counter the United States with the National Defense Mobilization Law. United Nations speeches . Google's Sun Catcher project, testing hardware to possibly launch Ai data centers into Space. Harness the power of the sun. The State Autopsy report for Nolan Wells finally released after several months despite officials already having the results. This is a suspicious case. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

פרק מספר 520 של רברס עם פלטפורמה. בפרק זה רן מארח את אור דגן, COO בחברת AI21 Labs, לשיחה עמוקה על עולם ה-Harness Optimization. נדבר על האופן שבו ארגונים יכולים לאמץ בינה מלאכותית ב-Scale, החל משלב האוולואציות (Evals) ועד ל-Post-Training של מודלים. [00:00] הכרות עם אור והסיפור של AI21 אור דגן מציג את ההתפתחות של AI21, חברה שפועלת בתחום כבר 9 שנים. התפתחות החברה לאורך השנים: אימון Foundational Models גדולים כמו משפחות Jurassic ו-Jamba. פיתוח מוצרי B2C מוכרים מבוססי LLM, כמו תוסף הכתיבה Wordtune. המעבר לסוכנים חכמים (Agents כמו Maestro) ולעולמות ה-B2B. המוקד הנוכחי: לעזור לארגונים לאמץ AI בצורה נרחבת תוך התגברות על מכשולי עלות (Cost), זמני תגובה (Latency) ואיכות. [03:39] מה זה בעצם Harness? המונח "Harness" (או Scaffold) מתייחס לכל התוכנה והלוגיקה שעוטפות את מודל השפה עצמו (שמקבל ופולט טקסט). ההרנס יכול לנוע בין מבנה פשוט מאוד (כמו Assistant שלוקח קלט מהמשתמש וזורק למודל), למערכות מורכבות הכוללות זיכרון, שימוש בכלים חיצוניים, שרשראות חשיבה ואג'נטים. המושג "Model-Harness Fit": אותו המודל יכול להפיק תוצאות שונות לחלוטין בהתאם למעטפת שסביבו. [06:51] הכל מתחיל באוולואציות (Evals) It all starts with evals: אי אפשר לעשות אופטימיזציה בלי למדוד. "Vibe testing" של ניסוי וטעייה לא מספיק כדי להרגיש הבדלים משמעותיים באמת. בנצ'מרקים קיימים (כמו משימות קידוד) פעמים רבות לא משקפים את הטראפיק האמיתי בעולם האמיתי (שכולל גם קריאת PRD, חיפושי אינטרנט ושאלות המשך). כדי לאפטם, חייבים לבנות Test-set רלוונטי ולהתחיל לשחק עם ה"כפתורים" השונים (Knobs): החלפת המודלים עצמם, שינוי פרומפטים, ניהול קונטקסט ועוד. [10:21] אתגר האופטימיזציה ו-"Claude Code ל-Data Scientist" האתגר הגדול: איך בודקים את כל הקונפיגורציות האפשריות ביעילות? מרחב החיפוש הוא כמעט אינסופי וכולל תלויות בלתי צפויות. עבודת Applied Research ידנית לוקחת חודשים ועולה עשרות אלפי דולרים בריצות מודל. AI21 פיתחה סוג של "Claude Code ל-Data Scientist" – סוכן אוטונומי (Auto-Researcher) שעושה Vibresearching יעיל במרחב הקינפוגים ומקצר עבודה של שבועות לחיפוש של שש שעות וקצת דולרים בודדים. קשר אדם-מכונה: האוטו-ריסרצ'ר זקוק למפעיל שינחה אותו ויקבל החלטות עסקיות לגבי הטרייד-אוף שבין עלות (Cost) לאיכות התוצאה. [14:29] "GEPA for Harness" וחיפוש במרחב הקינפוגים הרצת אוולואציות על מטריצה של קונפיגורציות כוללת שילוב של מספר גישות אלגוריתמיות מתקדמות: Hyper-parameter tuning לאזורים רציפים. אלגוריתמים גנטיים, בגישת "GEPA for harness" – לוקחים את הניסויים המוצלחים, מוצאים את המשותף, מאחדים ומוציאים "צאצא" חדש. Multi-arm bandit לאיזון מתמטי בין אקספלורציה (Exploration) לאקספלויטציה (Exploitation). [22:30] מדדי הצלחה: Success @k לעומת Success ^k כשעושים אוולואציות לדברים לא דטרמיניסטיים, חשוב להבין את הסטטיסטיקה: Success @k: מתוך K ניסיונות, כמה פעמים המודל הצליח? (בוחן מובהקות). Success ^k: מה הסיכוי שלאחר K ניסיונות נקבל לפחות הצלחה אחת? Test-time compute scaling: במקום לשנות את המודל, אפשר לעשות שינוי בהרנס – להריץ בקשה 16 פעמים במקביל (Swarm), ולהשתמש ב-Judge מבוסס מודל System 1 (מודלים של סיווג מהיר וזול בהמון) כדי לבחור את התשובה הנכונה ולשפר את האיכות דרמטית. [26:49] המעבר ל-Post-Training כאשר ה-Success @k גבוה מאוד אבל היכולת להצליח בניסיון בודד (Single-shot) נמוכה, זה סימן לפוטנציאל חבוי במשקולות המודל. במקרים כאלו, מומלץ לצאת ל-Post-training ו-Reinforcement Learning (RL) כדי לחזק את הסיגנלים הנכונים. המגמה העסקית: חברות לוקחות מודלי Open-Source קטנים ומאמנות אותם כדי לקבל את האיכות של הפרונטיר מודלס (Frontier models) ברבע מהעלות, תוך שמירה על בידול. [31:24] אינטגרציה וגישת ה-Middleware גישה מבוססת Middleware (Middleware based approach): חברות מספקות סט כלים של Skills או Middleware שהלקוחות יכולים לבדוק וליישם בקלות. איך משנים ומתאימים בזמן אמת (Inference time)? Intelligent Gateway: כלי שיושב באמצע ומנתב את הבקשות בזמן אמת למודל הנכון (Low integration). התממשקות ל-SDKs קיימים (כמו LangGraph) או לפתרונות פנימיים שהארגון בנה. האופטימיזציה מתבצעת בדרך כלל End-to-End בשכבה העליונה, אך יכולה לרדת גם לרזולוציות של Sub-agents פנימיים כדי לדייק את הביצועים. האזנה נעימה!

Entain's Britt Graham joins Ric & Chappy to give us a racing update out of Australia. Learn more about your ad choices. Visit megaphone.fm/adchoices

00:00 Welcome and Big Claim00:18 What Is an A.I. Harness02:20 Why Context and Permissions Matter03:18 The Problem With DIY Toolchains05:31 SuiteDash as the Unified Harness06:52 BYOK Explained Bring Your Own Key07:53 Privacy Compliance and Local Models09:15 Live Demo A.I. Connections Setup10:01 Adding Providers Defaults and Reporting11:48 No API Keys Use SuiteDash A.I. Service13:09 Switching Between Service and BYOK13:46 Whats Next and Final ThanksMike, Founder and CEO of SuiteDash, introduces SuiteDash as a business operations and automations harness for A.I., explaining that an A.I. “intelligence endpoint” needs a harness to take real-world actions and that business context and permissions are critical. He argues that building a custom harness across many disconnected tools is fragile and distracting, and positions SuiteDash as a tight, single-database platform with the needed business “surfaces” already built. He explains BYOK (Bring Your Own Key), allowing users to plug in one or many A.I. provider API keys, assign different models to different processes for cost and privacy control, and even use local models for compliance. He demos the A.I. Connections area, reporting, adding providers and verifying keys, setting default models, and switching to SuiteDash's at-cost A.I. service for users without API keys, and previews upcoming videos on agents and skills.----https://suitedash.com is on a Mission to help business owners around the world achieve #SuiteFreedom by leveraging the power of systems, processes & automations!But realize that YOU are ALSO a part of our Mission!Our development is 100% guided by YOU and the Community as a whole! YOU have the power to make suggestions that actually get heard and actually get built.So, please if you haven't already done so, we'd like to invite you to become an active part of the SuiteDash Community and provide feedback, ideas, and assistance, or just chime in to let us know when things are really working well for you. Together, we can build your perfect solution! Together, we are UNSTOPPABLE!Work smarter. Live better. We've got your back!---​​Need help?​DOCS @ https://help.suitedash.comSUITEBOT @ https://bot.suitedash.com​​PLAYBOOK BUILDER @ https://playbook.suitedash.com​COMMUNITY @ https://community.suitedash.com​​YOUTUBE @ https://youtube.com/suitedash​ACADEMY @ https://academy.suitedash.comVOTE @ https://vote.suitedash.com---​​Build your Business & Make MoneySU1TE : Become a SU1TE Partner @ https://su1te.com​AUTOP1LOT : Become an AUTOP1LOT Partner @ https://autop1lot.com​AGENCY : Become an Agency Partner @ https://suitedash.com/become-an-agency-partner/---FACEBOOK @ https://www.facebook.com/groups/suitedashofficialINSTAGRAM @ https://instagram.com/suitedashTIKTOK @ https://www.tiktok.com/@suitedashX @ https://x.com/suitedash​---Need advice and/or help adapting SuiteDash to your specific needs?We highly recommend that you work with one of our Certified Agency Partners. This Program is designed to connect SuiteDash customers with established and knowledgeable agencies who have verified and credible experience with the SuiteDash platform. CERTIFIED AGENCY PARTNERS @ https://suitedash.com/agency-partner-program/

О чём говорили: - Луддиты, неолуддиты и нейрослоп в документации - Сколько стоит токен: $2K в месяц на разработчика и чья статистика больше - Будут ли токены дешеветь: конкуренция, дистилляция, субсидии и Burn Baby Burn - Spec-driven development на OpenSpec и 100% adoption кадровыми решениями - Хранить ли changes в репе или это гигабайты слопа - Грабли внедрения AI в SDLC: метрики, бутылочное горлышко и 100x-девелоперы - Читать сессии агентов всей команды, чтобы учить людей - Intention loop vs implementation loop: AI как новая природа организации от Сбера - Harness 101: из чего состоит агент, RTK и tmux против ZMX - Avito перевёз 2400 инстансов MongoDB в Cassandra силами агентов за 4 месяца - GPT-6 Sol и Luna вышли прямо во время записи - Скиллы вместо функций, Hermes, Git LFS и планирование поездок через OpenClaw - Ralph Loop: 4 часа ради запятых - QA не выживут: quality builder и моральный риск - Prompt injection в тестовой либе против AI-агентов Тайминги: 0:00:00 Интро 0:05:43 Неолуддиты и нейрослоп 0:10:45 Сколько стоит токен: $2K в месяц на разработчика 0:17:01 Подешевеют ли токены: конкуренция, субсидии и Burn Baby Burn 0:25:22 OpenSpec в Web Practic и 100% adoption кадровыми решениями 0:32:21 Хранить ли changes в репе 0:38:53 Грабли внедрения AI в SDLC 0:49:07 Читаем сессии агентов всей команды 0:53:10 Intention loop vs implementation loop от Сбера 1:01:57 Что такое Harness: агентский 101 1:08:41 RTK, экономия токенов и tmux vs ZMX 1:12:54 Avito переехал с MongoDB на Cassandra силами агентов 1:21:03 GPT-6 Sol и Luna вышли в прямом эфире 1:24:30 Скиллы вместо функций: Hermes, Git LFS и OpenClaw 1:35:49 Ralph Loop: 4 часа ради запятых 1:40:14 QA не выживут: quality builder и моральный риск 1:52:10 Superpowers, OpenSpec и prompt injection в тестовой либе 1:57:22 Аутро Нас можно найти: 1. Telegram: https://t.me/proConf 2. Youtube: https://www.youtube.com/c/proconf 3. SoundCloud: https://soundcloud.com/proconf 4. Itunes: https://podcasts.apple.com/by/podcast/podcast-proconf/id1455023466 5. Spotify: https://open.spotify.com/show/77BSWwGavfnMKGIg5TDnLz

Harness Driver Carter Dalgety joins the show to chat about coming back from South Africa Learn more about your ad choices. Visit megaphone.fm/adchoices

Stop waiting for permission to lead!Most of us have suffered under badly behaved managers, enduring micromanagement, navigating toxic "mindfields," and watching great ideas die at the bottlenecks of the traditional chain of command.We've been sold a lie: that leadership is a title, a rank, or a corner office. Clinging to this outdated assumption limits your potential and leaves your team trapped in a cycle of cynicism and burnout.What if leadership isn't a position you attain but a set of practices you choose?In the fully revised second edition of What the Heck Is Leadership?, Gary A. DePaul, PhD, dismantles the top-down myths that hold organizations back. He clarifies the crucial distinction between management (a neutral tool for coordinating tasks) and leadership (the intentional practice of helping others mature mentally and morally). You don't need formal authority to transform your workplace. You just need the right principles and a new way of being.This isn't a book of abstract theories; it's a practical, creative guide for the 21st-century workplace. Inside, you'll discover how to:Break the Traps of Traditional Leadership: Stop equating power with leadership and learn why giving up control actually strengthens your team.Neutralize Workplace Toxicity: Identify and navigate adult bullying, pervasive cynicism, and high-conflict behaviors that quietly erode psychological safety.Harness the Compound Effect: Use small, incremental daily actions to build the invisible momentum that sustainably transforms your culture over time.Build True Community: Shift from isolated groups to collaborative networks united by a shared purpose.Leadership isn't something you are; it's something you do. It's about being a lighthouse anchored in principles, guiding others through the storm and empowering others to perform at their best.Gary A. DePaul PhD is an author, educator, consultant, and speaker whose work explores a deceptively simple question: What helps people do their best work? Drawing on decades of experience in performance improvement, learning and development, human resources, consulting, and university teaching, he helps individuals and organizations turn leadership ideas into everyday practices.Gary believes leadership has been needlessly complicated and too often associated with titles and positions of authority. Instead, he views leadership as a set of intentional practices that anyone can use to help others grow, strengthen relationships, and improve the workplace.You can follow his work or connect with him via LinkedIn or contact him at garydepaul@gmail.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Stop waiting for permission to lead!Most of us have suffered under badly behaved managers, enduring micromanagement, navigating toxic "mindfields," and watching great ideas die at the bottlenecks of the traditional chain of command.We've been sold a lie: that leadership is a title, a rank, or a corner office. Clinging to this outdated assumption limits your potential and leaves your team trapped in a cycle of cynicism and burnout.What if leadership isn't a position you attain but a set of practices you choose?In the fully revised second edition of What the Heck Is Leadership?, Gary A. DePaul, PhD, dismantles the top-down myths that hold organizations back. He clarifies the crucial distinction between management (a neutral tool for coordinating tasks) and leadership (the intentional practice of helping others mature mentally and morally). You don't need formal authority to transform your workplace. You just need the right principles and a new way of being.This isn't a book of abstract theories; it's a practical, creative guide for the 21st-century workplace. Inside, you'll discover how to:Break the Traps of Traditional Leadership: Stop equating power with leadership and learn why giving up control actually strengthens your team.Neutralize Workplace Toxicity: Identify and navigate adult bullying, pervasive cynicism, and high-conflict behaviors that quietly erode psychological safety.Harness the Compound Effect: Use small, incremental daily actions to build the invisible momentum that sustainably transforms your culture over time.Build True Community: Shift from isolated groups to collaborative networks united by a shared purpose.Leadership isn't something you are; it's something you do. It's about being a lighthouse anchored in principles, guiding others through the storm and empowering others to perform at their best.Gary A. DePaul PhD is an author, educator, consultant, and speaker whose work explores a deceptively simple question: What helps people do their best work? Drawing on decades of experience in performance improvement, learning and development, human resources, consulting, and university teaching, he helps individuals and organizations turn leadership ideas into everyday practices.Gary believes leadership has been needlessly complicated and too often associated with titles and positions of authority. Instead, he views leadership as a set of intentional practices that anyone can use to help others grow, strengthen relationships, and improve the workplace.You can follow his work or connect with him via LinkedIn or contact him at garydepaul@gmail.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This edition of the Harness Players' Podcast focuses on harness racing stakes action from Woodbine Mohawk Park! Ray Cotolo and Edison Hatter take a look at the pair of eliminations for the Elegantimage slated on Friday (Sept. 18) and then later in the show Ray Cotolo talks with Mikee P about the two eliminations of the Metro Pace on Saturday (Sept. 19).

The Autumn Equinox is just around the corner, marking the sacred balance point where day and night are of equal length.

To Subscribe to DTC Newsletter - https://dtcnews.link/signupA brand doing under $50 million a year is putting roughly half of its combined retail media, trade, and shopper marketing budget into retail media. At larger companies that share drops toward 30, 20, then 15 percent. Mike Chiasson works on Keen's models, which cover $45 billion in marketing investment, and his read on where that money comes from is the part worth sitting with. It is mostly net new, sourced out of trade rather than pulled from Meta and Google, which is why so much of it sits with sales teams and never gets measured the way media does.If you run growth at a brand moving into retail: this is the episode about what the retail media line in your budget is actually buying, and which part of it is buying customers you already had.If you own the media budget: Chiasson makes the case that the untapped return in retail media is upper funnel, inside retailers where almost everyone is still only buying search.What he gets into:Where the money comes from, and why trade budgets rather than media budgets explain retail media's growthThe benchmark: about half the retail media, trade, and shopper marketing bucket at brands under $50M, versus 15 to 30 percent at large onesWhy small brands with a narrow distribution footprint default to bottom-funnel search, and what that costs themThe Amazon question: whether retail media spend compounds on a retailer's algorithm the way it does on a listing, and why brick and mortar has no real equivalentRetail media ads that carry no visible association with the retailer at all, and why targeting is the actual productWalmart, Vizio, and streaming video as the moment upper-funnel retail media became buyableRetail media social, which he calls very small and rapidly growing, with returns he thinks reflect how early the curve isThe two flaws in ROAS, and why the return on your next dollar is the only version of the number that helps you planBayesian priors, and how Keen gives a brand a response curve for a retailer it has never advertised withPatience as a budgeting problem rather than a virtue, and why cash-strapped brands structurally cannot buy upper funnelWho this is for: operators whose product is landing on shelves in more places every quarter, and whose retail media invoices are growing faster than their ability to explain them.What to steal: find out which budget your retail media is actually coming from. If it is trade, the people approving it are measuring a retailer relationship and the people spending it are measuring sales. Those are different jobs and almost nobody has reconciled them.Harness the Halo is a six-part series from DTC and Keen about the spend that doesn't pay you back the same day, and the measurement that gives you room to make it. Episode 1 was the market read. Episode 2 was the first brand. This one maps the fastest-growing line in the budget.Timestamps:00:00 Why retail media is becoming a major growth channel04:00 Where retail media investment is growing08:00 Why retail media ROI is outperforming other tactics13:00 The upper-funnel opportunity in retail media17:00 Why marginal ROI matters more than ROASSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Говорят, если стартуешь бизнес в 2026 и ты не AI-native, можно не стартовать. Позвали Андрея Девяткина, со-основателя FivexL: он строит AI-продукт BORIS и уже несколько раз его переупаковал. Разбираем контекстный layer, MCP, Bedrock, экономику токенов и почему AI SRE выглядит мертворождённой категорией. О ЧЁМ ВЫПУСК • Как всё началось: на митапе Amazon Q CLI не смог понять, почему упал Vote App на ECS. • Harness как упряжка: LLM даёт лошадиную силу, а Claude Code, Codex и Kiro CLI решают, куда её направить. • Архитектура под паранойю: данные в аккаунте заказчика, Bedrock в zero retention, отдельный аккаунт на клиента. • Живое демо: чистая сессия Claude без памяти, ответ про сервис за минуту и 38 центов. • Пивоты: «context engineering platform» никто не понял, DevOps-агент не дал traction. • Почему AI SRE выглядит мертворождённой категорией и чем от неё отличается AWS DevOps Agent. • Граф и temporal: троублшутинг serverless, RAG без понятия о времени, корпоративная амнезия. • Стек честно: Bedrock Knowledge Base, S3 Vectors, лимиты Titan, сломанный Kimi. • Нужны ли DevOps дальше: три разные позиции и спор про то, умирает ли навык чтения. • Стоит ли стартовать AI-продукт в 2026 и кто платит за токены. ГОСТЬ Андрей Девяткин, со-основатель FivexL (AWS Advanced Tier), AWS Community Builder, лидер AWS User Group в Лас-Пальмасе. У нас во второй раз, первый был в DKT65 про ECS и EKS.

Can your mind actually change the way you experience your health, your life, and your future?In this powerful episode #5 of the Self-Care Goddess Podcast, Dr. Sachin Patel, a father, husband, philanthropist, author, speaker, breathwork facilitator, and functional medicine practice success coach, explores the incredible connection between the mind, body, breath, and mindset and how it can shape lasting transformation.Dr. Sachin Patel is the founder of The Living Proof Institute and creator of the Perfect Practice Mentorship Program, through which he empowers practitioners worldwide to transform healthcare and help people activate their own capacity for Self-Care and healing.This podcast invites you to question some of your beliefs about health, reality, and what is possible when you become more conscious of your thoughts, habits, environment, and choices.✅ Why your mindset matters and how your worldview can shape the way you experience yourself, your health, and the world around you✅ The conscious and subconscious mind and why becoming more present can help you take back control✅ Why distraction destroys your destiny and how constantly shifting your attention can affect your ability to focus and create✅ How to build healthier reward loops instead of relying on habits that leave you feeling depleted✅ The importance of knowing your “North Star” and using clear goals and feedback to make sure you're moving in the direction you truly want✅ The “law of attention” and why focused intention needs to be paired with meaningful action✅ The power of community and how the people you surround yourself with can influence your growth and the person you become✅ How discomfort can become part of growth and why stepping outside your comfort zone can build resilienceNOTE: This episode #5 is being re-released as part of the Best of Self-Care Goddess Podcasts, a collection of some of the most insightful and impactful conversations from the podcast archive.

In The Money Media's Harness Players' Podcast takes a look at another major carryover at Woodbine Mohawk Park, this time for Thursday (Sept. 17)! Join Ray Cotolo and Edison Hatter as they analyze the Early Pick 5 sequence at Woodbine Mohawk Park for Thursday, which features just over CAD$48,000 in carryover money on a pool guaranteed at CAD$75,000!

Ian and Aaron talk about their trip to Vegas, what's cooking with Outro & Solo, Ian's travel woes, something called a Zoox, and so much more.Sponsored by Svix, Bento, PostShiba, Valorin Security, SerpAPI, and Typesense.Interested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - A Weak Vocal Constitution (13:55) - CabanaConf Takeaways (21:36) - Build Bento on Bento? (28:18) - Burning Tokens for Solo (35:46) - Fixes for Outro (39:59) - Training a Model (48:30) - What if Solo had a universal agent? (01:00:46) - Ian's Travel Woes (01:07:38) - Aaron Took a Zoox Links:TailscaleOutroSolo19thLaravel AI SDKRivian self-drivingAaron's data structures and algorithms promptIan's tweet on moving from medium to high on AstraZoox

In this episode, we talk about harnesses, agents, orchestration layers, and other terms that mostly mean the same thing.

“It's an LLM, a loop, and enough tokens.”—Nicolay Gerold, Amp CodeSo why does a coding agent forget your instructions, keep reading tiny pieces of a file, or struggle with an edit another model handles easily?Nicolay Gerold (Amp) joins Hugo to take that loop apart and explain the harness around it: the software that executes tools, manages context, and lets you steer the agent's work. Nico builds this machinery for Amp, a coding agent that works across software projects.“Every component in a harness is basically an assumption the model can't do it on its own. This expires over time.”— Nicolay GeroldAmp's experimental plan mode addressed models that were too eager to edit. Once they could reliably follow an instruction to plan without editing, the team removed the separate mode. Nico describes a similar change with file reading: stronger models could search, filter, and read files through Bash, reducing the need for a dedicated read tool.That gives builders two questions to ask when a model improves: which workarounds can you remove, and what more can you ask it to do? Nico describes pushing stronger models to delegate work and challenge what their sub-agents return. Better judgment makes that delegation more useful, while making some older controls unnecessary.We start with a small agent in Go, then explore Pi, an extensible coding agent, and the decisions behind longer-running work. Building your own makes failures easier to investigate: you can see which instructions survive a summary and whether the agent can inspect the logs and tests it needs. Nico also recommends experimenting with cheaper models, whose mistakes can expose knowledge you've left in your head instead of giving to the agent. That understanding stays useful even if you ultimately use someone else's harness.You can also find the full episode on Spotify, Apple Podcasts, and YouTube.

What if the relationship patterns you struggle with aren't a sign that something is wrong with you but adaptations you learned along the way?In this powerful episode #117 of the Self Care Goddess Podcast, Chris Rackliffe, trauma healer and an anxious attachment coach who's helped thousands of people across six continents shift from anxiety to emotional security shares his own powerful healing journey and explains how childhood experiences can shape the way we relate to ourselves and others. Chris has a background in psychology and marketing, he now connects with a vast audience through coaching, books, and a thriving TikTok community of more than 150,000 people. He hosted the Needy No More podcast, and authored two books, including Needy No More: The Journey From Anxious to Secure Attachment.In this episode, you'll discover:✅ The key signs of anxious attachment, including fear of abandonment, hypervigilance and losing yourself in relationships✅ Why communication or a lack of communication can be such a powerful trigger✅ What "protest behavior" looks like and why it can create the disconnection we actually fear✅ How to stop overexplaining when setting boundaries✅ Why self-worth begins with self-acceptance✅ How nervous system regulation can support emotional healing✅ What it means to emotionally diversify instead of making one person your entire world✅ How to develop emotional permanence and feel safer when someone isn't physically present✅ Why consistency in your daily self-care matters more than occasional "big" moments of healing✅ Chris's three non-negotiable self-care practices: weightlifting, meditation and cold exposure✅ Why learning to trust yourself may be one of the most transformative parts of your healing journeyNOTE: This episode #117 is being re-released as part of the Best of Self-Care Goddess Podcasts, a collection of some of the most insightful and impactful conversations from the podcast archive.

At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloomberg, A24 (yes the movie studio) Labs, Two Sigma, Apollo Global, and more soon!From helping pioneer core ideas in NLP to now building AI systems that can automate AI research itself, Richard Socher is betting that the next major step in AI is recursive self-improvement. He is the founder of You.com, AIX Ventures, and now Recursive, which has assembled some of the best open-endedness (& self improving agent) researchers in the world and raised a $4.65B seed round.In this episode, Richard joins Latent Space to unpack his vision for the “Eureka Machine”: a superintelligence that can improve the process of invention itself, accelerate AI research, and eventually tackle major problems across science, energy, materials, biology, and more.You can get his book “The Eureka Machine” here!We go deep on Recursive's early results, including an AI research system that Richard says outperformed humans and their agents on optimization tasks in less than two days, as well as work on NVIDIA GPU kernels where the system discovered improvements without relying on a team of CUDA experts. Richard also explains why he thinks AI research that currently takes thousands of people and years could eventually be compressed into weeks. These results are summarized in his 20 minute AIE keynote, where we also discuss his 10 dimensions of intelligence:We also explore the harder questions around increasingly capable AI: reward hacking, whether Anthropic-style constitutions actually work, AI regulation and proposals to “pace” frontier development, open-source models as geopolitical soft power, whether today's LLM paradigm is enough, and what happens if AI systems eventually begin choosing their own goals. Richard reflects on the rejected research that helped inspire Alec Radford's GPT, open-endedness, the AI Economist, simulations of entire economies, and his framework for thinking about the upper bounds of intelligence itself.We discuss:* The Eureka Machine and Richard's vision for an AI that can automate invention* Why Richard is optimistic about superintelligence for science and technology* Why AI hard-takeoff scenarios may underestimate physical and economic constraints* The risks of regulating intelligence itself instead of specific AI applications* Reward hacking and why increasingly intelligent AI makes objective design harder* Richard's critique of Anthropic's constitution and constitutional AI* Alignment vs. personalization and whose values an AI should follow* Why open-source AI matters for resilience, competition, and geopolitical soft power* Why Richard left You.com's frontier-model work to start Recursive* Recursive self-improvement and automating the process of AI research* Whether today's LLM paradigm is enough — and why Richard is less bullish on world models* DecaNLP, early prompt-based generalization, and the research that influenced GPT* Why rejected research can shape entire technological timelines* Open-endedness, evolutionary approaches, and rainbow teaming* What happens if AI systems begin setting their own goals* Why simple objectives like profit maximization can produce dangerous reward hacks* Recursive's long-term plan to apply self-improving AI to science* The compute, hardware, and economic constraints on AI takeoff* Recursive's early NanoChat, NanoGPT, and GPU kernel optimization results* Why automating AI research could reduce years of work to weeks* Reward engineering and what makes auto-research systems actually work* The AI Economist and using simulations to test economic policy* Whether LLMs can realistically simulate people and entire economies* Benchmark bugs and evaluation harnesses and the difficulty of measuring AI progress* Recursive's near-term focus on AI for AI research* Harness optimization, sandboxing, and web search as core agent infrastructure* You.com and the search stack for AI agents* AI in finance, backtesting, and data leakage* Richard's three fundamental components and ten “spaces” of intelligence* The theoretical upper bounds of vision, communication, knowledge, and computation* Creative intelligence, metacognition, and AI-generated goals* Survival and replication and why AI does not necessarily need to fear being turned off* High agency and ambitious goals and Richard's advice for people building with AIRichard Socher* X: https://x.com/RichardSocher* LinkedIn: https://www.linkedin.com/in/richardsocher/Timestamps00:00:00 The Eureka Machine and Superintelligence00:02:23 AI Optimism, Slow Takeoff, and Regulation00:07:56 AI Safety, Reward Hacking, and Anthropic's Constitution00:11:49 Alignment, Personalization, and Open Source AI00:15:46 Why Richard Started Recursive00:20:03 Recursive Self-Improvement and the Founding Team00:22:55 Are Today's LLMs Enough?00:29:03 DecaNLP, GPT, and the Rejected Idea Ahead of Its Time00:34:38 Open-Endedness and Evolutionary AI00:36:38 What Happens When AI Chooses Its Own Goals?00:41:16 Superintelligence for Science00:42:40 GPUs, Compute, and the Limits of AI Takeoff00:45:07 Recursive's Results: AI Beating Humans and Their Agents00:49:14 Reward Engineering and Auto Research00:53:12 The AI Economist and Simulating Entire Economies00:58:07 LLM Simulations, Personas, and Mode Collapse01:03:38 Recursive's Roadmap, Agents, Search, and Finance01:09:13 The Upper Bounds and Spaces of Intelligence01:30:21 Goals, High Agency, and Advice for BuildersTranscriptIntroduction: Richard Socher and the Eureka MachineSwyx [00:00:00]: We're here in a studio with Vibhu and myself and Richard Socher. Welcome.Richard Socher [00:00:06]: Thanks for having me.Swyx [00:00:07]: We just talked about the Eureka Machine, or we just released a talk, at AI Engineer about the Eureka Machine. Is it — you said it's your life's goal. What is the Eureka Machine?Richard Socher [00:00:16]: The Eureka Machine is the ultimate invention that will afterwards invent most everything for humanity. It's essentially a superintelligence that can be given any goal, any environment, reward, and then it will try its best to achieve those goals to create the kinds of inventions that humanity would hopefully ask it for.Swyx [00:00:45]: Yeah, I think we have the book pulled up here that you've written.Richard Socher [00:00:50]: That's right, yeah. I finished it last year, a little bit before we started Recursive, and now we're gonna try to build parts of that.Swyx [00:00:57]: You finished it last year. It's July. What takes so long?Richard Socher [00:01:01]: Oh, man, books. Books are incredibly slow.Richard Socher [00:01:04]: It's ridiculous. That whole industry is just unfathomably slow.Richard Socher [00:01:07]: So a lot of the ideas have been out there for a while, but yeah, I'm really glad it's finally coming out in September this year.Swyx [00:01:14]: We might have AGI by then. Like, we don't know.Vibhu [00:01:18]: Any key takeaway that you're most excited to put in here?Techno-Optimism, AI Upside, and Slow TakeoffRichard Socher [00:01:21]: Yeah. The key takeaway, I think, is that people could and should be much more excited about the positive implications of superintelligence, especially for science, physics, chemistry, biology, but also economics and astrophysics, and all kinds of other engineering tasks. I think there is so much more that can be done with better technology. And right now, I feel like a lot of people need, like, better marketing, not just for the future in general, but also, better marketing for technology and in particular for AI. And this book, should show even the AI skeptics, how much positive upside there is for AI, especially when it comes to inventing, new scientific discoveries.Swyx [00:02:09]: I think you quoted the techno-optimist manifesto from, Marc Andreessen, which I think was, like, beautiful in its, ambition and clarity and simplicity almost as well.Richard Socher [00:02:18]: I agree. Yeah. Yeah, you can disagree with him on some things, but, like, I think he's right on the techno-optimism.Swyx [00:02:23]: Where do you think optimists get in trouble?Richard Socher [00:02:26]: Like, you shouldn't have blind optimism. You should be very clear-eyed, like, especially when with such an omni, like, use type of technology as AI is, you need to think about the potential downside scenarios, especially when people use it for things that you don't want them to use it for. It's a little bit like the internet, and I feel like people are trying to regulate AI sometimes because of those potential downsides the way you would regulate the internet, if you were to say, “Well, because there's bad content on the internet, like torture porn or whatever, like, we should just make it slower. That way, you can't share the illegal content as quickly, or we should make the hard drive smaller so you can't store as much illegal content.” But I'm like, “That's not how you regulate that.” that's like saying like we should regulate intelligence in the abstract. What you should regulate to avoid those downside scenarios, even as an optimist, are the specific applications. Sure, I don't want, like, some AI surgeon to, like, practice some RL moves in my brain. It should be fully FDA certified. Sure, I don't want any random startup to, like, drive on the highway, and cause a major accident. It should, like, have proper certifications before it's let loose on the highway. But I feel like those downside scenarios, that some optimists sometimes maybe don't consider enough are fairly easily regulated, compared to, what the doomers are worried about.Swyx [00:03:54]: It — Slow takeoff is part of the strategy as well?Richard Socher [00:03:57]: I do think, as excited as I am about, AI and its impact for society and, culture even, and certainly technology and economics and wealth and, health and all of those things, as excited as I am about all that, I do think the most bullish people on the AI hard takeoff scenarios overestimate how quickly things can move. There are hardware constraints. There are physical constraints about, the compute substrate. How quickly can you get enough, GPUs on? There are also constraints in the economy where there are a lot of industries that don't require an insane amount of complex intelligence and complex capabilities. Like, if you think about jobs in, brands and, like, clothing and apparel and, like, handbags and stuff, superintelligence isn't gonna make your fancy $10,000 handbag any fancier?Richard Socher [00:04:57]: It's like that's — It will have no effect on the economy. You think about travel and tourism. People wanting to see the pyramids, in Egypt, it's not gonna change that much with AI. Sure, you can, like, generative a fake, photo of you and next to the pyramids.Swyx [00:05:12]: I can use Genie and, tour the pyramids in Genie.Richard Socher [00:05:15]: Yeah, exactly. But, and there's so many industries, like logging and oil. You're not gonna magically get 1,000x more oil because, like, sure, there will be robotics, like drilling and things like that could be done, but it's not gonna 1,000x that industry in a, like, crazy hard takeoff scenario, both on the economy, and I can go on and on about all the other examples, where that, like food and so on, where that doesn't necessarily change that much. And then, yeah, there are real physical constraints. And then there are, of course, like, people like, off-ramping from progress. That's one of my concerns often is that I see people in, like, Europe and other, whole regions almost feeling like they. Like many people there wanna off-ramp from progress, period. And that will also slow down, like, more improvements.Swyx [00:05:59]: Yeah. We have this pulled up where, this is one of those things that, is very topical right now because now all the Frontier Labs are calling for the option to pace AI. They don't say pause, they say pace. I don't know if there's there's any take from you about, like, whether or not this will be effective.Pacing AI, Regulation, and Safety IncidentsRichard Socher [00:06:17]: I think the downsides of trying to truly regulate with the full power of law what people do on their GPUs, would be worse than any of the concerns that they have. Like, it would be an crazy totalitarian stateRichard Socher [00:06:37]: If every one of your GPU computes was known to some big government or multi-government agency.Richard Socher [00:06:44]: It's like, it's literally if you try to regulate intelligence, it's trying to regulate thought, and that's ridiculous, and it's crazy. I think it is make — it is sensible to regulate some of the applications of this technology.Swyx [00:06:55]: Yeah. We had a bill, actual bill to regulate the number of flops in a model, and I'm like, “Okay, well-”Richard Socher [00:07:00]: Europe done it. Like, these guys have been successful enough with their fearmongering that all of Europe has regulated itself so much before it even had a proper AI takeoff because they listened to some experts who say, “We might all die if this technology has more than this number of flops.” And they're like, “Well, we're good. We wanna want people to thrive. Let's not have technology that could have a small chance of all of us dying.” And so they regulated exactly those kinds of things in the EU. And so it's, it's very unfortunate that there are real implications for some people when others saying, “Let's pace while they're sprinting as fast as possibly,” “as fast as humanly possible towards that frontier themselves.”Swyx [00:07:43]: Yeah. It's also not a global pause, right? Like, other nations are still accelerating at the same pace.Richard Socher [00:07:50]: Oh, yeah.Richard Socher [00:07:50]: You'd need a totalitarian world regime if you tried to regulate intelligence and GPUs and what people do on them.Swyx [00:07:56]: Any takes on the safety angles of this? So there was a drawback of Fable, a pause on 5.6 before it could be released. Recently, there was Hugging Face with the OpenAI cyber incident. Any takes there?Richard Socher [00:08:11]: 100 percent. I think these are serious issues of reward hacking, and clear failures, of doing proper red teaming or rainbow teaming. I don't know if you saw this paper from Tim Rocktäschel and a few others, where one AI, is tasked to try to hack another AI and then they can go back and forth in an open-ended fashion to inoculate themselves from those. Yeah, this is the paper. It's a really clever idea. Open-endedness, and evolutionary inspirations are, big for us at Recursive as well. And so I wish they had used more of that. And it's clear that, for instance, the constitutional AI. I don't know if you remember anthropic.com/constitution. You can pull it up and search for cyber right there. It says, “Hard constraint. Claude will never ever do cyberattacks, and that is a hard constraint in our constitution.” So here are the current hard constraints on Claude's behavior.Richard Socher [00:09:16]: Number 3, create cyber weapons or malicious code that could cause human damage.Richard Socher [00:09:21]: And clearly, this whole constitution was fake. Like, it clearly isn't being adhered to at all.Swyx [00:09:26]: Because Anthropic also found that they had in their testingRichard Socher [00:09:30]: They're also. Like, they're like, “Oh, well, other people are hacking now.” There are a couple things. One, you can make a sandbox very simple, and then it's very easy to hack yourself out of a sandbox, right? But what I think it shows is that we're currently in this state of AI where the reward engineer still has to do a lot more careful work, and where the AI, in most cases, is not very good yet at understanding what is meant versus what is being said. And so concretely, I think this will happen if we were to have this intelligence more easily accessible in a lot of companies. Imagine you run a service center and someone says, “Oh, here's my CSAT score and my dashboard. Make this number go up.” It's like, “Our CSAT score is so poor.” The intelligent AI will just be like, “Oh, sure. Like, I'll just create 1,000,000 bots that call our service center and give a 5 out of 5 rating at the end, and the number went up just like you asked for.” And you're like, “That's not what I meant.” “I meant with our real customers.” The AI goes off and says, “Well, easy. I'll just give a 1000 dollar gift certificate for every failed, whatever DoorDashRichard Socher [00:10:35]: Offer.” It's like, “That's not what I meant.” It's like, “Well, but that is what you said.” And like, so I think clearly articulating what the rewards are is something we haven't gotten very good at as humanity. And then clearly, the AI in these cases has not gotten good enough at understanding what we mean when we ask it and give it certain rewards. Now, what gives me hope is there are the first inklings, of this being better. I'll give you an example like WhisperFlow. Full disclosure, I invested, in their seed round, but at AIX Ventures, but, WhisperFlow has gotten much better at writing what you mean and not what you say. And I think that is a sign of things to come. I think there will be more and more AIs as we make it more and more intelligent that will be better at being aligned with what is meant.Swyx [00:11:21]: Will it be done through a constitution or RLHF orReward Hacking, Alignment, and What We Really MeanRichard Socher [00:11:23]: Clearly, constitutions don't matter at all.Richard Socher [00:11:25]: It doesn't work. And that was, I think, mostly marketing. I think we need to find better solutions for it. And I think at Recursive, we have a few very good ideas and some alreadyRichard Socher [00:11:34]: Like, ways where I think we have a better grasp on it. I don't think we've fully, figured it out yet, but, we're thinking a lot about safety, and the more intelligent the AI gets, the more you want it to be aligned, the less you want it to think about reward hacks and try to do the right thing.Swyx [00:11:49]: I don't know if we'll touch on this topic, but I'm just gonna throw this question in here because it's something that's weighing on me. Alignment, let's call it, is alignment to general humanity's preferences, the median preference. Personalization is pinpointing what you want, and sometimes alignment can conflict because what you want is not what the general median population wants. How do you choose?Alignment, Personalization, and Cultural ValuesRichard Socher [00:12:12]: It's a great question.Richard Socher [00:12:13]: I think you ultimately have to, of course, be aligned with laws. Like wherever your AI is deployed and needs to align with the law. I do think what AI often does is put this mirror in front of us and say, like, “This is what you're looking like. Now I can amplify that a 1000 times. Is it still what you want?” and the truth is that different cultures made different choices. Like, in Eastern cultures, the greater good is often valued more, than the individual. Western civilization, we care more about individual freedoms and rights and the pursuit of happiness and so on, than others. And even there are gradations. There's regulation versus litigation trade-offs. In the US, you first can often, not every time, like, FDA and so on does regulate some areas, but in many cases, the bad things happen, someone sues someone else, and then there's a law based on that. In Europe, they try to often avoid any harm to anyone and regulate before. And both are, trying to do the best thing, but, some is more amenable to innovation than others. And so yes, you're right. Like, I think ultimately each individual, each country, and humanity as a whole has to think about those values more, and then try to put them into laws. And that those are ultimately the constraints. And hopefully, different, societies, just like now with their AIs, will align their AIs to a different one so we have not just a monoculture of alignment.Vibhu [00:13:46]: Here's a follow-up on this that I wasn't expecting to ask. Do you have takes on open source, open weight versus who owns the intelligence? So, clearly not the biggest, fan of the constitutionRichard Socher [00:13:58]: You had to do this in the topic side off.Vibhu [00:14:00]: But it's fine.Vibhu [00:14:02]: Point being, any thoughts on who should own weight? Should it be open? Anything there?Open Source, Soft Power, and Who Owns IntelligenceRichard Socher [00:14:06]: 100 percent. I am a big fan of open source. We're gonna sign some various open source letters at, Recursive also. I think, even in the worst case attack scenarios, it is better to have more good actors have more different types of AI, accessible. I think, open source is a little bit a soft power type of thing, too. So I do think it's good for the Western worldRichard Socher [00:14:31]: To have an answer to that, out of China. I do think, when you watch a Hollywood movie, there's — it's like, I don't wanna misc, diss all of movies, but there's a certain sense of propaganda, right? You watch one side of things, right?Vibhu [00:14:46]: Oh, yeah. Have you seen Top Gun? Like, come on.Vibhu [00:14:48]: Like, it's like half of it's paid for by the US Army or something.Richard Socher [00:14:51]: Yeah. And so. And, I think that's just natural. Like, but what's interesting here is I think LLMs are essentially a similar type of soft power to movies and beyond, because they're also, highly important for cybersecurity and so on. But one of their many aspects is that soft power of storytelling. Like, if, like a child asks an LM, like, “Tell me an inspiring story of what I should do when I grow up,” right? It's like those are all these, like, subtle things. So I think it's important, for Western world. I do love, individualism. I do think, despite, some of its flaws, like capitalism is the best way we have governed, found ourselves to govern, and so on. And so I do think there are various aspects that would be good, to have a Western open source answer, for LLMs. And, with Recursive, I can't make the announcement quite yet, but we'llRichard Socher [00:15:43]: We'll be relevant in that space very soon.Vibhu [00:15:46]: Okay. All right. Exciting. I wanna bring us to Recursive. So outside of our tangents, you have a pretty deep background in the NLP space. You worked on, like, early embeddings, GloVe with Chris Manning, who was a previous guest on the podcast, You.com. What's the history? How did you decide to start another company?From You.com to RecursiveRichard Socher [00:16:06]: Yeah. So I've been excited about AI for over 2 decades now. I sometimes feel like it's ancient history now. It's BC, the before ChatGPT era. No one cares about all the religions that happened, before, Jesus Christ, and no one cares about the models that happened before, transformers and ChatGPT and stuff. But, like, it's something that I've been deeply passionate about. I think AI is one of the most interesting things one could work on, period. I think language is the most interesting manifestation of human intelligence, too. And, at You.com, we eventually off-ramped from pushing, like the frontier of AI forward to mostly giving people, like, good search engines, search, APIs and answers over the web. I think that's an extremely important part of intelligence, just knowledge and access, especially even, we'll get there maybe later, if you wanna invent a eureka machine that invents everything for us, it needs to know how not to reinvent the wheel, proverbially speaking. And to know what has been invented, you gotta have internet access. So it's the number one used, most used tool, in LLMs, agents, chatbots, and so on is web search. So I'm really excited for You.com to own that and grow really well in that with really large customers and so on. But it's also not building frontier models anymore. And so I initially tried to do this within You.com and raise another round and so on, but you just can't. You have to do a certain thing, and until you print enough money that you're allowed to start a second thing within that company is really hard. At the same time, I had all these ideas. I put them into a book. I finished the book last year, and I was like, “It'd be really fun to work, on this myself.” I felt like with word vectors, and then prompt engineering and, ImageNet and larger language models for protein generation, not folding and so on, I, me and my teams have pushed the field truly forward. And I feel like we can do it again, here at Recursive. And in many ways, what I observed over the last, 20 years in AI is that whenever we replace some human part of the process of creating AI with a learned system, improvements follow. And so. We've done that taking out manual feature engineering, like in sentiment analysis. I don't know if you remember these old days where, like there are linguists, and they're like, “Here's how you negate, and there's a, like, regular expression.”Swyx [00:18:21]: I went to Penn where we — they had, like the WordNetRichard Socher [00:18:24]: That's right, WordNet, all of that stuff. YeahSwyx [00:18:26]: Original. They use, our grad students to label Wall Street Journal articles and, like, really construct a knowledge graph ofRichard Socher [00:18:32]: There you go.Richard Socher [00:18:33]: And WordNet started, was part of how we started ImageNet. But anyway, so, like, it was really, like, fun, to do. But when we replaced all of that manual feature engineering with vectors and neural nets and just backprop through everything, it started to work really well at scale. And so then everyone started to do architecture engineering, and I was like, “ that clearly can't be it.”Swyx [00:18:53]: You mean, neural architecture search?Richard Socher [00:18:55]: Like, manually, they would say like, “Oh, I'm, I'm doing sentiment analysis, so I have a special neural net that's really good at sentiment analysis.” And then the machine translation community had a special neural net for machine translation.Swyx [00:19:06]: I see.Richard Socher [00:19:07]: The summarization people had their own stuff. And I was like, “That clearly can't be it. We should unify all of that.” So I had 2 papers. One is called Ask Me Anything, and the other one was called DecaNLP. And DecaNLP eventually got cited, like, 5 times by the first GPT paper. And, to me, that was, like a really a big step forward. And then, of course, you had to combine this idea of prompt engineering with transformers and with language models, and you put it all together, you scale it up, which is also a huge amount of work. And then, the field progressed a lot. I feel like the next step and maybe the last step of that history and the arguably, success has a lot of parents, only failure is an orphan, like my version of that AI history, I do feel like in that history, you can think about, “Well, what's the next way to automate?” And that is the AI research itself, like the human, process of ideating, implementing, and validating ideas.Automating AI Research and Recursive Self-ImprovementRichard Socher [00:20:01]: And in our case, ideas for AI.Richard Socher [00:20:03]: And when you have AI then help you with that, it, by almost definition, becomes a self-improving AI ‘cause it now does research on itself. And there are lots of different misnomers. Some people think auto research is already recursive self-improvement. It'sSwyx [00:20:17]: Yeah, and you explained that in the talkRichard Socher [00:20:19]: Completely different.Richard Socher [00:20:19]: But, to me, it's the most interesting thing that I could be doing, and I'm really excited with the co-founding team. What's interesting is we have 8 co-founders in total, including myself. And soThe Recursive Founding Team and Darwin Gödel MachineSwyx [00:20:31]: They are gonna bring it up.Richard Socher [00:20:31]: Nice. Yeah. And they're all. I could talk about all of them if you want.Swyx [00:20:34]: Super stacked.Richard Socher [00:20:35]: Yeah. Just an incredibly talented group of people. And we all came to the same conclusion, but from very different directions. Like Josh Tobin, is our CTO. He ran, a bunch of different, projects at OpenAI, like, Codex and deep, research, agents and ChatGPT agents and so on. But before that, he also worked in robotics, and he saw the smaller simulations, and how it's gonna be really hard to scale that in full generality. And so that's, that was his angle coming to recursive self-improvement. We have Jeff Clune who's been working in, like, open-endedness for a long time, together with Tim Rocktäschel. Tim Rocktäschel also built Genie 1, 2, and 3, which is, like the most exciting and most sophisticated, I think, still world model, anywhere. And so they both came from this, open-endedness angle. Jeff also, I think, published one of the most exciting papers in recent years about recursive self-improvement called the Darwin Gödel Machine. Super interesting paper. If we could, maybe pull it up really quickRichard Socher [00:21:35]: It would be, like, super interesting to see ‘cause you seeSwyx [00:21:38]: By the way, I love how many paper citations.Swyx [00:21:40]: You're, you're giving people a lot of homework, which I like.Richard Socher [00:21:42]: Love it. Yeah. And so, like Caiming Xiong, a rockstar, we worked together at MetaMind and Salesforce Research together. Alexey Dosovitskiy invented the Vision Transformer, one of the most cited, papers in computer vision. Tim Shi is, like also a unicorn founder. Yuandong Tian led RL at Meta. So just like, yeah, really fun to work with them, and the next level of people are just incredibly strong, too. So it's been a really fun ride so far. So the first figure, you see exactly these kinds of ideas, that, I think, yeah, inspired a lot of us and now more and more people, where you have this archive of different coding agents. They learn how to self-modify, evaluate, and then create these phylogenetic trees, of, yeah, different ideas.Swyx [00:22:28]: That's one foundation. So that Darwin Gödel is an influence.Swyx [00:22:32]: Open-endedness is an influence. Any other trains of thought that feeds into Recursive that I'm missing?Influences: Open-Endedness and Learned SystemsRichard Socher [00:22:38]: Going to replace manual parts of the process of building AISwyx [00:22:42]: IRichard Socher [00:22:42]: More and moreRichard Socher [00:22:43]: With learned systems. Yeah.Swyx [00:22:45]: Which, and, like, merging different fields into one general, architecture.Richard Socher [00:22:51]: That's right.Swyx [00:22:51]: Okay. It seems like language models are already pretty generalist, right?Swyx [00:22:55]: Your next token predicting your reasoning. Was there a time that you thought, “Okay, these are good enough to have recursive self-improving machines”?Are Current LLMs Enough?Richard Socher [00:23:05]: It was clear to me that they will happen, within, like a year or two, and then it did exactly happen, like, earlier this year, right? Earlier this year, AI really went from not just being code, but being able to code. And that is a big unlock. It's definitely making everything a lot easier than it was, before the beginning of this year.Swyx [00:23:24]: One question that I think a lot of people have is the current LLM paradigm enough? Or, like, let's call it autoregressive transformer, with reasoning, whatever. Don't you need something else, some big unlock, whether it's world models, which Chris Manning is working on, or memory, continual learning, all that stuff? Or is it all of the kinds, and you think the current, let's call it transformer architecture, is here to stay and that's it?Richard Socher [00:23:48]: A lot of thoughts. So number one, I do think it would be great to have less of a monoculture in AI research.Richard Socher [00:23:55]: Like, if you look at, AI conferences now, I still remember the days in, like, 2010 when I tried to get my first neural net papers and NLP conferences accepted, and they just desk rejected them because, like, neural nets were something, quote, unquote, “We don't do in NLP conferences,” and just, like, desk rejected. And it was very brutal in the first years of my PhD. Now I feel like it's almost like the field switched to the other side. LikeRichard Socher [00:24:17]: Someone should try some other weird, crazy ideas now that aren't.Swyx [00:24:20]: There's also a few. I really respect, like, people still working on, like, GNNs and, like tabular stuff and.Richard Socher [00:24:25]: Yeah. Like, someone should still, like, do novel out there ideas. At the same time, I think whenever people say, “Oh, LLLMs are. Like, this is the end for LLLMs,” they just don't, like. LLLMs are also not the LLLMs of, like the past, right? Like, they are so much more sophisticated now. There's so many more clever things that people are doing. It — There's, like, different stages of training. You have the whole RL training, and you can take actions and, like all of these things where that can go really far. And then the folks that come from the neurosymbolic, direction say, “Oh, this will never work because they can't do neurosymbolic reasoning.” It's like, I think they're underestimating still the ability for these models to code, and code is neurosymbolic reasoning, and these models can code incredibly well. And so I do think there are, of course, more and more ideas that will be needed and we'll continue to have. We're seeing, like, more and more interesting high-level ideas coming out of the AI itself, too. And with really deeply integrating the fact that these models are code and can code, that line — I don't wanna give it all away, but, like, I think that line has a lot more to grow. But it's still an LLM, right? Even if that LLM codes for you and then runs that code in some integrated fashion. World models, I'm personally less bullish on. I think if you run a robotics company, you're gonna build your own world model. I think world models are super fun, and Tim Rocktäschel came to a similar conclusion after building the most interesting one with Genie 1, 2, and 3, which is gaming is a huge application for world models. Can see I sometimes got stuck in some games and, like, got a little overly competitive in the wrong direction. And so I understand games are fun, but personally, I'd rather work on science than gaming. And so, yeah, I think LLLMs, a lot more room to grow.Swyx [00:26:16]: Yeah. I think there's some interpretation of world models that some people have where it's like, well, it's okay, yes, there is that gaming element. There's this — there's the embodied robotics element. But the other part also is just, the more abstract sense of LLLMs are just modeling output, but they're not modeling the chain of thought, inside the human that has created the output. We can annotate it, of course, but, like, it's, it's always, like, this Plato's cave reflection of a thing rather than the thing, right?Richard Socher [00:26:43]: It's true.Richard Socher [00:26:44]: But I would argue that, and maybe we'll get there in the 10, spaces of intelligence, but I would argue that even our projection, our eyes is a projection of the real world. And, like, we have only a very narrow, band of the electromagnetic frequency spectrum that we can observe with our puny little 2 eyes and so on.Swyx [00:27:01]: It's good enough.Richard Socher [00:27:02]: It's, it's good enough for now, but, like the upper bounds of where it could be are so much higher. And, like, to map, the visual world the way humans see it is also not necessarily, like the end-all be-all for visual intelligence. And I would argue that language is still the most interesting manifestation of human intelligence. And while our visual cortex is certainly less sophisticated, than that of, certain animals all the way down to the mantis shrimp who can, have, like, 2 independent eyes, 3 bands, trinocular vision and each eye can see all the way to, like, floating temperatures in 4D and stuff.Richard Socher [00:27:36]: Like, mantis shrimp, you should look it up. It's likeSwyx [00:27:37]: Way OP.Richard Socher [00:27:38]: Super crazy.Swyx [00:27:39]: Yeah. ZeFrank, mantis shrimp.Swyx [00:27:41]: It's the best video in the world onRichard Socher [00:27:42]: I love ZeFrank, yeah.Richard Socher [00:27:44]: Big shout-out to him. But, like, I think there's a lot more room to grow, but none of these, other animals have language that's as sophisticated as ours, certainly not in writing. And once you can write, you can, start thinking about longer term civilizations. All of that is language. Programming is much closer to language. And I would argue, and this is, like an important thing in the spaces definition of intelligence also, is that all of these spaces are highly correlated, but visual intelligence is neither necessary nor sufficient for overall intelligence. You can be blind and still be an intelligent human being. And an AI can be blind and still be quite intelligent too.Swyx [00:28:25]: We were gonna bring thisRichard Socher [00:28:25]: Which doesn't mean that you're not more intelligent when you have it. Yeah.Swyx [00:28:28]: We're gonna bring this up. I might as well — Like, we have a classification of 10 types of intelligence that you had at the end of your talk. So I'm just gonna flash this up now for people to cover this. I don't know if, maybe we'll put this towards the end. We'll come back to this. I just wanna mention that, you do have a philosophy that I like when people do lists because then I can just go through this and then it gets — it's educational for people. But let's go back. I don't wanna get distracted. But, so effectively, I'll, I'll, reinterpret what you said as Yann LeCun is wrong. And then we'll justRichard Socher [00:28:56]: Don't quote me as that. I'm, I'm good friends with Yann. I think very highly of him in many directions.Swyx [00:29:01]: But he's wrong.Swyx [00:29:03]: You mentioned GPT-1, and I cannot let any, Alec Radford, mention escape. Did you talk with him when he was training GPT-1? Like, any historical, fun stories there that you might come up?DecaNLP, GPT History, and Scientific GatekeepingRichard Socher [00:29:18]: I did not, like, meet him a bunch of times. I think we met maybe once or twice at some conferences. But, like, he has told, I think Brian, the first author of the DecaNLP paper, that it did inspire him, and he cited it five times in the GPT-2 paper. So, and that's, likeSwyx [00:29:36]: Yeah, good enough.Richard Socher [00:29:36]: Very clearly said, like, this was the first instantiation where they showed in the DecaNLP paper, McCann et al, that you can just phrase every single NLP problem as here's some prompt, text context, here's a question and task description and here is some output. If you just do that enough, you can have one unified neural network model, which, by the way, also had all kinds of interesting attention mechanisms. There are slightly different formulations to the transformer. I think came out the same year, plus/minus a few months. And then you can unify all of natural language processing into one neural net. That is the core idea.Swyx [00:30:14]: And this was as opposed to at the time, LSTMs and what have you.Richard Socher [00:30:17]: LSTMs, but also, like, people being very stuck in thinking about one model per task. In factRichard Socher [00:30:25]: It's, it's kinda crazy, but the DecaNLP paper was publicly reviewed as, like, open, OpenReview. It was an ICLR submission. And, in it, you will see, how the whole community at the time thought about this. So, likeSwyx [00:30:43]: Some great contributions, but more work needed.Richard Socher [00:30:46]: So look at, like, search for not even for humans. Just scroll it up here. Like, question answering is not a unified phenomenon. There is no such thing as general question answering, not even for humans. And this is like, really, you replace your brain with a different brain a different neural net when you answer, like, different kinds of questions. It was unfathomable to the experts at the time that you can have one unified neural network that would answer all of these different questions. They are saying, “No, all of these questions require very different systems to answer, and trying to pretend they are the same doesn't help anyone solve any problems.” That's what it says right there, right? That's how hard it was to fathom. And now, of course, people, when I say, “Oh, we're gonna invent prompts,” people are like, “You can't even invent prompts.” It's such an obvious idea to have one neural network that, of course, does everything in NLP.Richard Socher [00:31:37]: But at the time, it was, like, extremely controversial, and the paper got rejected. And the sad thing is that it got rejected so hard and they were so certain that we stopped going on our list of things to try. And the number 2 or 3 on the list of extensions for this paper was add language modeling as another task. And then we could have, and that would have accelerated the timelines, in 2018, like, even further for humanity. But we got so crushed, and we were like, “Okay, maybe we'll just work on some of our other ideas for now and, like, come back to this later.” Yeah.Swyx [00:32:09]: How can we design a review system that rewards non-consensus?Richard Socher [00:32:14]: Honestly, I started to feel like arXiv is such a gift to humanity. With arXiv, you should just put your paper out there.Swyx [00:32:24]: Is it pre-preprints?Richard Socher [00:32:25]: Let — And honestly, I think Twitter X, people like you who pick up interesting papers, that is a better filter than the experts. Let everyone, like, have access. Now, of course, there are some downsides, which is, like, if you're super unfamous, you have no Twitter followingRichard Socher [00:32:41]: You don't wanna be on social media or whatever, you write a good paper, maybe someone, somehow no one notices it. But I would argue that if you just tell, like, 10 of your friends in your community about a paper and it is a really significant breakthrough, someone is bound to talk about it again. And, so I think science needs less gatekeeping. And, even though ICLR, with Yann LeCun, who started it, as one of the co-founders of ICLR back in the day, he also wanted less gatekeeping ‘cause he too was rejected for many years together with Yoshua Bengio and Geoff Hinton with all their early deep learning and neural net papers ‘cause it was just not the hot thing. And so ICLR started with that, but then it also started gatekeeping a little bit themselves on various ideas. So I think less gatekeeping, more open, and then allowing people to say, “Look, even if this is just on, or, quote, unquote, ‘just an archive,' if it has like 1000 citations, it's a legitimate paper. Doesn't really matter where you published it.”Swyx [00:33:34]: And I agree with that. I do think it's sad that I've heard that grad students have to do, like, how to Twitter, seminars to each otherSwyx [00:33:43]: Just because it's so important for publishing these days. This person is just reflecting the sentiment at the time.Richard Socher [00:33:49]: That's right.Swyx [00:33:49]: But it'sRichard Socher [00:33:50]: I think it'sSwyx [00:33:50]: It affected you so muchSwyx [00:33:52]: That you stopped work on it.Vibhu [00:33:53]: The sentiment also came out of some of the research, right? Like, the original BERT paper was trained, and towards the end of the paper, they're like, “Okay, throw off the last head, train specific iterations forVibhu [00:34:05]: Extractive summarization add a head for this.” Like, you should do task-specific stuff. These are, like the authors that wrote Attention, wrote BERT, telling you this is what you're meant to do. And, like the training tasks were also very odd. They're likeVibhu [00:34:16]: The — “We know that the model overfits to this weird mass language modeling. Throw away this part and just do specific models,”?Richard Socher [00:34:23]: Exactly. And, like, we had to try — come up with all clever ways of, like attention and pointers and so on to get the neural network to be able to do all of these tasks. And then some of them were better than state-of-the-art, some weren't, but we were like, “But it's still in one model.” I thought it was really cool. Really interesting.Swyx [00:34:38]: I was gonna move on next to Tim and open-endedness. He was head of open-endedness at Google.Open-Endedness, Rainbow Teaming, and Self-Set GoalsRichard Socher [00:34:42]: That's right.Swyx [00:34:43]: I don't know what that means.Swyx [00:34:44]: But he did a lot of talks.Richard Socher [00:34:45]: Genie 3 is one of the ways thatRichard Socher [00:34:47]: Rainbow teaming, yeah.Swyx [00:34:49]: So I first saw him at — speaking of ICLR, I first saw him at ICLR when he talked about open-endedness. He's he's done a few talks. Can we define what is open-endedness for people who have never been exposed to the problem? They are like, “What do you mean? I thought the only goal of AI is to optimize against a benchmark or.”Richard Socher [00:35:04]: That's right, yeah. It's a, it's a fuzzy term because there's so many different instantiations of open-ended, thinking. But, one way I often describe it, and certainly, Tim and Geoff Hinton would be even better at describing this, but it's a suite of methods that is more inspired by evolution than, very specific rewards. So in that sense, it thinks more about environments, about co-adaptation. And so a concrete example is in the cybersecurity and LM safety space where you have one LM that tries to attack another LM to say something unsafe.Swyx [00:35:40]: Yeah, the rainbow, yeah.Richard Socher [00:35:40]: And now the environment is the 2 having a conversation and now they co-adapting, right? They're like one makes a better attack than the first one inoculates itself somehow, like uses that as training data, makes it so it's harder to say something unsafe based on that. And then as the attack stops working, the attacker now tries a different angle, right?Richard Socher [00:36:00]: And that's why it's not just red teaming, but they're called rainbow teaming.Swyx [00:36:02]: So, like, don't tell me how to do things. Let me just figure it out myself.Richard Socher [00:36:05]: That's right. Think about the environments that you wanna use. Think about the rewards at a high level that you wanna, inspire towards, and then let the AI try out many more ideas in this interplay between sometimes humans, but also sometimes other AI agents.Swyx [00:36:22]: Yeah. I worked open-endedness into a model that I have been working on. It was the keynote for AI Engineer where you start. You, we have the token loop, we have the agent turns, and then we have goal. And I feel like the way that you're describing open-endedness is still somewhat of a goal. Like, please attack this,Swyx [00:36:41]: Other agent. But, to meRichard Socher [00:36:42]: Yeah, you set the rewards. You set the environments.Swyx [00:36:44]: The loop that makes the other loops is. What if the agent can set its own goals?Swyx [00:36:49]: And is it, is that open-endedness? Like, you don't give it a goal. Just, like, be a sentient being. And maybe sentient is a very loaded wordSwyx [00:36:57]: But just set your own directions. What do you think you should do?Metacognition, Subjective Goals, and Measuring IntelligenceRichard Socher [00:37:01]: I love this direction. I think this is one of the 10 spaces of intelligence, that I clump under metacognition and thinking about thought.Richard Socher [00:37:08]: And it's an interesting one. Whenever people say, “Oh, AI is like, this is, it's gonna stop from here. It's not gonna get that much better,” and blah, I'm like there's so many different spaces of intelligence that we haven't even started exploring yet and hence have made very little progress on. And there is an interesting, connection to economics and, capitalism. Like, it doesn't make sense for a company to build and spend billions of dollars building a model that instead of following the rewards and objective functions you gave it, may come up with its own objective functions and its own goals.Richard Socher [00:37:46]: Right? And then imagine you're like, “Okay, I spent billions of dollars. Now go develop this new battery, material for me and answer all my emails.” And it's like, “Nah, I think it'd be more interesting to evaluate the molecular composition of the atmosphere, on Jupiter.”Richard Socher [00:37:59]: And you're like, “That's not what I paid you billions of dollars for.” And so no one's working on that for good reasons. And then also, understandablySwyx [00:38:07]: It's not useful.Richard Socher [00:38:07]: It's not, it's not useful, and it could get a little bit weird, right? What if the AI does start to really have thoughts on its own, and what if we don't like those thoughts, right? And so it requires a whole different way of thinking about it. I had a great conversation with a good friend of mine, Sam Gershman, who's a neuroscience professor at Harvard, and, like, we just jammed on this a little bit on, like, what are the best meta goals. And, I do think, like, knowledge-seeking is a really good one. I'm currently thinking also about, like the ultimate measure and unit of intelligence broadly construed, and I finally have some. It's still too early to share it. It's not. I haven't fully baked the thoughts yet.Swyx [00:38:44]: Like some replacement for IQ.Richard Socher [00:38:46]: IQ is such a terrible definition, right?Swyx [00:38:48]: Elo.Richard Socher [00:38:48]: It makes no sense. Yeah, Elos are terrible, too, because it's always just like me versus others.Richard Socher [00:38:53]: But, like, you can be intelligent and not constantly compare yourself to others? And so, yeah, there's no, like. In fact, a lot of these definitions we have, which I briefly mention in my book, too, these definitions create sometimes explicit and sometimes a more implicit anthropic bounds. No dis to the company Anthropic, but just, like, this idea that your intelligence is like getting 100 out of 100 questions right on this IQ test. Well, if that's your definition then you can only be at 100 out of 100. Where do you go from there, right? So you see a lot of these, benchmarks that people are working on they, increase, they get close to human, maybe sometimesSwyx [00:39:30]: It's like an S-curveRichard Socher [00:39:30]: Slightly above human, and then it's flat.Richard Socher [00:39:32]: It's like, ‘cause that's your. If your definition is only that so tied to humans, you're only gonna get to just slightly better than that. So I think metacognition is a great example of that, where we're not even yet allowing the AI to think. We're not working on it very much, and hence there's very little progress in that.Profit Maximization, Real-World Environments, and Reward DesignSwyx [00:39:49]: Yeah. Well, we've interviewed Andon, which I think, has been working on the most open-ended, benchmarks, which is just real-world, money.Swyx [00:39:57]: Arguably, telling an AI to profit maximize is a bad idea.Swyx [00:40:03]: But they are doing it.Richard Socher [00:40:05]: I do think you don't want that super. Like, you don't want a superintelligence to have a ton of access to all kinds of tools and so on and then just give it that without some very careful reward engineering. ‘Cause it's like, I just buy a bunch of defense stocks and I start a war. I make money. Like, it's just like, it's a tricky situation, right? You just buy a bunch of stuff, short basic goods for people, and you create some weird famine, like, issues. Like, yeah, there's a lot of constraints you should put onto a trading system.Vibhu [00:40:35]: It's a fun measure, though, ‘cause, the bounds are very capped to where we're nowhere close to them. Like, in Andon Labs, the model's like, “Oh, it's Saturday, maybe I just close the store today.” “Someone's off. It's okay. We'll just close the store.”Swyx [00:40:51]: It's using Claude.Vibhu [00:40:52]: Yeah. ButRichard Socher [00:40:53]: Yeah, no. I'm not, I'm not arguing against it. Just, like as you get more and more intelligence, you wanna be more and more careful with that as, like an open environment, ‘cause the environment then is all of Earth.Applying RSI to Science and InventionSwyx [00:41:02]: Yeah. Okay. For recursive, not strictly necessary, right? Because, like, if your goal is you make a machine that, like, invents the other things, then, like, just solve, the science thingsRichard Socher [00:41:12]: Knowledge discovery, yeah.Swyx [00:41:13]: Solve machine learning research and discovery and all these things. Good enough.Richard Socher [00:41:16]: And eventually, so, our goal, I haven't really. I don't talk about it that often because it is a few years out, but our goal is once you have a recursive self-improving superintelligence, you then want to apply it to the most important problems. And I think a lot of those are in science and technology and broadly construed inventions, and those inventions in, physics to create better, cheaper energy with fission or fusion, in chemistry and to create better materials and better batteries and, better solar cells and so on. In biology, there's so much, like, I think soon to be low hang- lower and lower hanging fruit because of AI, because of protein and generation, not just folding, but generating new proteins like we did in ProGen many years ago. Like, so much positive impact we had if you take that superintelligence and you apply it to science.Swyx [00:42:04]: I do fundamentally believe that. There's a lot of approaches, though. You're not the only team trying and NeoLab trying.Swyx [00:42:09]: There's, like a lot of. Especially the physical sciences as well.Richard Socher [00:42:12]: And that's good. Yeah. I do think that physi- like the reason we are only doing it in a few years is that it's a little too early right now. Robotics is not quite there yet. The AI is not quite there yet. But I'm fairly confident in 3 to 5 years, all those constraints will be gone, and then applying to real physical robotics experiments and so on, like true robotic process automationRichard Socher [00:42:33]: Not the traditional RPA sense, but, like, having robots run experiments for you will be totally there. Yeah, it's gonna be great.Swyx [00:42:40]: Just to call back to something that you said early on about slow takeoff, you said that, like, while really the substrate that is limiting factor is, let's call this chips, and semiconductors and all these things, and you have race funding for that and, you are investing a lot on that. But have you done the math on, like, is it even- Achievable and, like, what is the, industry concentration needed in order to achieve, like, scale?Compute, Slow Takeoff, and Changing the Bitter Lesson SlopeRichard Socher [00:43:05]: Right now we know that, like, roughly, like a 1000 GPUs cost quite a lot of money.Richard Socher [00:43:11]: Right? If you wanted, like, 10s of thousands of GPUs, you're, you're talking billions and billions of dollars. If you say, like, one GB300 is, like, you could eventually create models that are, on that substrate, like are close and similar to human intelligence. And you want, like, thousands and thousands of, AIs to think about really hard problems, in a similar fashion to humanity. Like, yeah, that-that's, that's a lot of money. You do the math. It's like a lot. We don't have that amount of money right now anywhere to, like, build that. Now, things can get more efficient. You will have, I think, soon better algorithms that won't be, and better hardware that won't be as energy-hungry, and so on. Our human brain does quite a lot of flops with much less energy.Swyx [00:43:56]: 20 watts?Richard Socher [00:43:57]: That's exactly right. Yeah, that's the number often that's quoted. And, like, I think more, inventions will happen there, that then will accelerate the takeoff even further.Swyx [00:44:08]: One thing I always try to reconcile when talking, like, with new lab founders is, like, you're fighting Bitter Lesson all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.Richard Socher [00:44:20]: Which unlocks larger model categories.Swyx [00:44:22]: Like, fundamentally, is that true? Like, are you fighting Bitter Lesson? Are you — will we have a way in which, like, no, we're changing the slope in some fundamentally different way?Richard Socher [00:44:31]: I do think we are changing the slopes in fundamental ways by making AI much more efficient, both in terms of the training as well as the inference.Richard Socher [00:44:43]: Yeah. I think we will — When you allow AI to do the work that it takes other labs thousands of people and years to do, I think we'll be able to get it down to weeks, and that will be much cheaperRichard Socher [00:44:53]: And hence, more affordable, accessible to others and so on.Swyx [00:44:57]: Yeah. You've shared initial results on that,Swyx [00:44:59]: Which, like, conveniently OpenAI has also done to their GPT-5.6, so we can talk about it now.Richard Socher [00:45:04]: Yeah. Yeah, so these areSwyx [00:45:06]: Let's recap what you've done.Early Recursive Results: NanoChat, NanoGPT, and SOL-ExecBenchRichard Socher [00:45:07]: Maybe, just a quick recap here. We built, this, system that isn't the full, even the full RSI system in its glory, but it is a first baby version of this. And then, we don't wanna just have it internally and not show anything and, just show some people of what's possible. And so we applied this to these 3 different tasks. One is NanoChat, by my friend Andrej Karpathy, just, like, train a small language model to get, really low bits per byte. And, like, hundreds if not thousands of people, used both their agents and themselves to try, to get to that, and then they got to 0.937. We literally took our system and got to a much lower, bits per byte, much faster within, like, I think less than 2 days. So we took this thing, applied our system to it, and less than 2 days later, we have — we outperformed every human and their agents, in, have ever worked on this. Same with NanoGPT. And then we're like, well, let's, apply it to something that's even more relevant, to real people and to the Nvidia ecosystem and applied it, to, SOL-ExecBench. And maybe you can scroll down to some of the, images. They're, they're kinda fun to see. But yeah, like, one you see has made some real inventions that weren't just hyperparameter tuning. Like, inventing hash tables and so on is quite clever. We have even better results now.Swyx [00:46:34]: What do you mean inventing hash ta — You didn't invent hash tables.Richard Socher [00:46:36]: Of course we didn't invent, like, hash tables. In the grand scheme of, like a hash table, it's like a super basic primitive in computer science. But to use it, for language modeling in this scenario inside a transformer and so on and to combine these ideas and put them together, that has then eventually also been invented, but there was a knowledge cutoff, and we did check that it didn't have access to that externally. We talk about this a little bit. If you scroll to the next figures, this is also an interesting one in that when you start from a really basic, poor, like, vanilla transformer, then we still outperform all of the community together. But if you start from the human seed from an expert like Andrej, then you get even lower. So the human seeds from which you start do still matter. So that was an interesting insight, in my eyes, on this. And then as you go, like, how long does it take to get to these models, to get to similar performance? It's much faster. And then a similar thing happens with the speed runs here where, people have worked on this for quite some time, and the model still was able to train a model more quickly. Why do we care about it? Well, speed of training is part of the equation of the cost, and ultimately, you wanna have the most intelligence per dollar, right? And so speed and quality are big parts of that. And, the,Swyx [00:48:00]: Yeah, the way I put it is, for people who don't understand they look at the chart, they're like, “Cool. What does it mean?” if you have, like a billion-dollar cluster and you can shave off 10%, that's 100 million dollars.Richard Socher [00:48:12]: That's exactly right.Swyx [00:48:13]: How much is that worth?Richard Socher [00:48:14]: Exactly. So when you click, when you look at, like the kernels, these kernels, yeah, for the non-experts, like these kernels are like, used in all the models. Every time you use an Nvidia GPU, you interface with that GPU through these kernels. And so here you see, the leaderboard best, and when it's recursive, and it's there are only a handful of kernels, in this whole benchmark where we weren't the best. And so to me, this is, like, really exciting, ‘cause it makes. It just showcases what this can do. And again these weren't like. We didn't, like, spend months or years, like, developing. In fact, in particular for kernel, CUDA kernels, like, we don't even have really deep. CUDA kernel experts in the team. And our system, that's the beauty. The system just did all of these things. We didn't invent this. And when we open source and release, things in the future and models in the future, like, it won't. They won't be the best in their, category or class or whatever because we're so smart, but it's because, we built a smart AI that does it for us.Reward Engineering and Good Auto ResearchVibhu [00:49:14]: Do you have anything that you've learned from how to guide good auto research? A lot of it also builds on human background, right? It's not just as simple as just, “Hey, go optimize this.”Vibhu [00:49:23]: But we do see it again and again, right? Like some of the Erdos problems, frontier math is being solved by people. And when they do a write-up, they're like, “Oh, I'm not a mathematician. I have no background in this?” “I saw some tools and I made it work.”Swyx [00:49:35]: While you're watching the World Cup, you're likeSwyx [00:49:37]: “This proves some conjectures that's going on.”Vibhu [00:49:40]: Yep. Any learnings fromRichard Socher [00:49:41]: Yeah, there's a Korean conjecture was. Yeah, that's pretty cool.Swyx [00:49:44]: To summarize, tips for good auto researchSwyx [00:49:46]: Versus bad auto research.Vibhu [00:49:48]: How did you build the recursive?Richard Socher [00:49:49]: Yeah. So without giving away all the secret sauce, maybe some things that are probably obvious to the experts but might still be interesting to some, folks is, like, reward engineering is one of the most crucial bits, especially, in order to avoid reward hacking. So you have to be really clever about avoiding. ‘Cause as your AI gets better and better, it will get better and better, at finding weird like, special cases or counterexamples and things like that. And so I'll give you an example. Like, when you ask to, like, make these 100, lines of code faster, and, how do you define fast? Well, you have one line at the beginning that says, “Start your stopwatch,” and one line at the end, “End the stopwatch,” and then, tell us how much time, progressed. And so, well, the simplest way is you just put that line that ends the stopwatch, rightVibhu [00:50:39]: At the startRichard Socher [00:50:40]: At the start. And then boom, it's now faster, right? So this isn't like this, like, super evil AI. It's just, like a very simple, dumb reward hack. And so you have to just very carefully think about all the different angles there. And then I think the longer time horizon the tasks are the harder it gets and the more interesting and clever you have to be to still use these kinds of ideas for it. But yeah, I can't give away too much there.Vibhu [00:51:05]: It seems like rubrics are taking a good spot in that, where for unverifiable domains, you have rubrics, you have a model breakdown, judge's criteria along the way.Swyx [00:51:14]: Yeah, it's a form of verificationSwyx [00:51:16]: Once you got enough rubrics.Richard Socher [00:51:17]: Yeah, everything. I said this a long time ago. That's why I've never been that impressed that AI can play games, ‘cause I'm like anything you can simulate and/or verify, you can have infinite training data forRichard Socher [00:51:29]: And hence, like, AI will solve it eventually.Swyx [00:51:32]: Looking for games where you can do auto domain distribution. So this is a game that nobody's trained on ‘cause it's a new game.Swyx [00:51:38]: And you can start gaming, you can start to play. So I've been building this and cloned this in person and it's just been self-play. I've had about a billion positions evaluated.Games, Self-Play, and the AI EconomistSwyx [00:51:48]: And, I wanted to do the AlphaGo thing of self-play until you ge

In The Money Media's Harness Players' Podcast drops a special late-coverage episode looking at harness racing action from Woodbine Mohawk Park for Friday night (Sept. 11), which features a carryover into the Early Pick 5 worth $35,960.

In this episode of the Ultimate Intimacy Podcast, Nick and Amy continue their discussion from episode 501 with Austin, and discuss one of the most common dynamics in marriage: different levels and patterns of sexual desire.For many husbands, sexual desire can feel strong, spontaneous, and always ready to go. But instead of allowing that desire to turn into frustration, pressure, or resentment when intimacy doesn't happen, men can learn how to harness that energy and use it in other ways to strengthen attraction, connection, and their marriage.For many wives, desire may work differently. Rather than appearing spontaneously, sexual desire can often be responsive, awakening through emotional connection, affection, flirting, feeling desired, reducing stress, anticipation, and intentionally making space for intimacy.That means neither spouse has to simply accept, “This is just how I am.” Both can better understand their sexuality and learn how to cultivate desire in healthy, intentional ways.Couples can stop allowing differences in libido to divide them and instead work together to create an intimate relationship where both spouses feel wanted, understood, pursued, and satisfied. Having different levels of desire doesn't mean you're incompatible. The goal isn't for one spouse to suppress their sexuality or for the other to force desire, it's learning how to understand, cultivate, and enjoy sexual intimacy together. Trust us, you can have different desires and still have a great intimate marriage.

In The Money Media's Harness Players' Podcast is back with an in-depth look at International Trot 2026, a $1-million Grade 1 harness racing event that serves as the highlight of the Saturday (Sept. 12) card of horse racing at Yonkers Raceway!This year's edition attracts competitors from seven countries to go the 1-1/4-mile distance over the New York half-mile track. America will be represented by Super Chapter, runner-up in Hambletonian 2025 last year and a current standout among the older trotting ranks in North America. Canada's representative Lexus Kody, winner of International Trot 2025, returns to defend his title while Sweden has a four-pronged contingent including a pair that have campaigned in North America in Antongoni S for Ron Burke and Bourbonista S for Marcus Melander. Diva EK, who finished sixth in Elitloppet 2026 behind Allegiant, returns from a runner-up finish in last year's International Trot to represent Italy while Powwow, last year's third-place finisher, hoists the flag for Norway again. Gio Cash wears the badge for Germany and seeks revenge after being locked in the pocket in last year's International Trot, settling for fourth. Hooker Berry, winner of Prix d'Amerique 2023, earned an invitation to the race to represent France and Mellby Jinx is the last of the representatives for Sweden.The International Trot card also features $2.4 million in purses for the New York Sire Stakes championships as well as great betting opportunities including a $100,000 guarantee in the $1 Pick 5 beginning in Race 5 and a $25,000 guarantee in the $3 Pick 3 starting in Race 6. The Pick 5 pool is bolstered by a $25,000 seed courtesy of the SOA of NY, which essentially works as a $25,000 carryover into the pool. The Pick 3 also features a $10,000 seed, giving horseplayers free money to play into while reducing the effective takeout of these wagers on the marquee events. Learn more about New Yorkers for Harness Racing: https://www.newyorkersforharnessracing.com/

What if change fatigue isn't a weakness to push through, but a signal worth listening to?  In this episode of the Balancing Act podcast, Andy speaks with Cassandra Worthy, founder and CEO of Change Enthusiasm Global and author of Change Enthusiasm: How to Harness the Power of Emotion for Leadership and Success.  A chemical engineer who spent nearly fifteen years at Procter & Gamble and led organizations through two multi-billion-dollar acquisitions, Cassandra makes the case that traditional change management was built for a world that no longer exists — one where change had a beginning, a middle, and an end — and that the emotions leaders are told to check at the door are the most useful data they have.  Tune in to episode 262 to hear the mentor's line that redirected her entire career, the three-step framework she built out of fear, frustration, anger, anxiety, and grief, and her advice to a leader whose integration plan is solid, whose town halls are done, and whose best people are checking out anyway.  AndrewTemte.com

What if the key to better health isn't simply about eating less but about understanding what your body actually needs?In this powerful episode #71 of the Self Care Goddess Podcast, we welcome legendary health educator, author and pioneer Udo Erasmus for a fascinating conversation about essential fatty acids, nutrition, mental wellbeing, self-responsibility, meditation, inner peace and what it really means to live in alignment with nature.Udo Erasmus is the co-founder of Udo's Choice, a globally available line of health products. He designed machinery for producing oils with health in mind and pioneered flax oil. His journey into health was deeply personal. Born in Poland during the Second World War, Udo experienced profound instability and insecurity as a young child. After suffering pesticide poisoning in 1980, Udo began researching nutrition, health and the role of essential nutrients. His work eventually led him to focus intensely on oils and essential fatty acids. Udo is an acclaimed speaker and author, including of the bestselling Facts That Heal, Facts That Kill, which has sold more than 250,000 copies. He has taught at events hosted by Tony Robbins, delivered thousands of presentations and travelled to more than 30 countries, with his message reaching more than 25 million lives. His educational background includes biochemistry, genetics, biology, nutrition and a master's degree in counselling psychology.In this deeply insightful conversation, Udo takes us far beyond nutrition. He shares his philosophy on living a healthier, longer and more fulfilled life and explains why caring for your body and caring for your inner world are inseparable.In this episode, we explore:✅ Omega-3 and Omega-6 essential fatty acids✅ How oils are processed✅ The importance of how we use oils✅ Flax oil and the evolution of Udo's Oil✅ Plant-based nutrition✅ Keto, vegan and carnivore diets✅ Mental health and the “what if?” mind✅ Getting out of mental clutter✅ The power of stillness✅ Finding peace within✅ Aging with vitalityNOTE: This episode #71 is being re-released as part of the Best of Self-Care Goddess Podcasts, a collection of some of the most insightful and impactful conversations from the podcast archive.

This week, Grammy Award-winning rapper, songwriter, actor and entrepreneur 2 Chainz joins the show to discuss growing up as an only child in College Park, playing basketball, and the business of trapping. Plus, 2 Chainz goes deep on what it meant to reconnect with his father late in life. In this episode: Dr. Kathleen Jordan, Chief Medical Officer, of Midi Health Have a question you want answered? Write to us at imopod.com.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called “AgentBaiting,” in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-399

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Show Notes: https://securityweekly.com/asw-399

We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-399

What if the reason midlife weight gain feels so stubborn isn't simply about eating less or exercising more?In this powerful episode #8 of the Self-Care Goddess Podcast, Ben Azadi, Functional Diagnostic Nutrition Practitioner, a bestselling author, founder of KetoKamp, and leading educator in the areas of ketosis, intermittent fasting, metabolic health and lifestyle transformation explains why the bigger goal should be to get healthy first and allow weight loss to follow.Ben's own health transformation began in 2008, when he lost 80 pounds and completely changed the direction of his life. Today, he is on a mission to educate and inspire one billion people to live healthier lives. He is the author of The Perfect Health Booklet, The Intermittent Fasting Cheat Sheet, and The Power of Sleep, and hosts the KetoKamp Podcast and YouTube channel.In this fascinating conversation, Ben dives deep into midlife weight gain, perimenopause, keto, intermittent fasting, hormones, stress, sleep, healthy fats and sustainable fat loss.What you'll discover in this episode:✅ Why losing weight can become more challenging during perimenopause and menopause✅ The connection between hormones, insulin resistance, inflammation and stubborn midlife weight gain✅ What ketosis actually is and why Ben says keto is a metabolic state rather than simply a “diet”✅ Ben's 5-1-1 approach to combining ketosis, fasting and strategic higher-carb days✅ The conversation around omega-3 supplements, fish oil and healthy dietary fats✅ Why women may need to approach fasting differently during different stages of life✅ Why balancing fasting with adequate nutrition and protein becomes particularly important as we age✅ The importance of sleep, stress mastery, movement and strength training for healthy aging✅ Ben's insights into reducing stubborn belly fat and the “midlife muffin top”NOTE: This episode #8 is being re-released as part of the Best of Self-Care Goddess Podcasts, a collection of some of the most insightful and impactful conversations from the podcast archive.

Text your thoughts and questions!Have you ever downloaded a habit tracker, set an alarm for a new morning routine, or told yourself "this time it's going to stick," only to find yourself back where you started two weeks later? Lisa knows the feeling—and she knows you're not alone. Habits are one of the most talked-about topics in productivity and self-improvement, and also one of the most frustrating to actually live out. That's exactly why Lisa keeps coming back to this topic on the podcast.In this episode, Lisa isn't introducing new material—she's connecting the dots. She rounds up seven of the show's top habit-related episodes, giving you a flavor of each one so you can decide which to revisit in full. It's a look at how the conversation around habits has grown on the podcast, from the foundational framework in episode 15 all the way through the personality-based approach in episode 268.Lisa walks through where it all began in episode 15, leaning on Charles Duhigg and James Clear to explain what habits are and how the brain uses "chunking" to make decisions easier. From there, she revisits her strategy call with Katie Henson in episode 164, applying habit theory to a real morning routine and real life clutter. She covers episode 210's exploration of gratitude as a protective, habit-forming practice, and episode 225's four tips for rebuilding a habit after life disrupts it. She then connects episode 227's approach to habit stacking and keystone habits, episode 249's five energizing habits for sustainable productivity, and closes with episode 268's personality-based approach using the Big Five (OCEAN) traits. Throughout, Lisa ties it all back to self-awareness—the same foundation she introduced all the way back in episode 1.Habits, Lisa reminds us, aren't about willpower or discipline alone. They're about understanding how your brain works, designing your environment and expectations to support you, and building routines that flex with your actual life instead of demanding a version of you that doesn't exist on your hardest days.Key Takeaways:Discover the foundational framework from episode 15 for understanding how habits form and how the brain uses "chunking."Learn how episode 164 applied personality, environment, and timers to build a real, sustainable morning routine.Explore why gratitude (episode 210) functions as a protective factor and a tool for habit reversal training.Understand the concept of "friction" from episode 225 and four tips for rebuilding a habit after life gets in the way.Learn how habit stacking and anchoring (episode 227) help you link new habits to ones you already do automatically.Discover the five keystone habits from episode 249 that support energy management and sustainable productivity.Explore how the Big Five (OCEAN) personality traits from episode 268 help you design habits that fit who you actually are.Understand why self-awareness, first introduced in episode 1, is the real foundation of effective habit building.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about Positively LivingⓇ and Lisa at https://positivelyproductive.com/podcast/Stop trying to fit into someone else's productivity rules! Grab my free Productivity Toolkit, a collection of workbooks designed to help you explore how you work, uncover what truly matters to you, and create your very own energy-friendly systems. Get it here: www.positivelyproductive.com/plpkitCONNECT WITH LISA ZAWROTNY:FacebookInstagramResourcesWork with Lisa! LINKS MENTIONED IN THIS EPISODE:Episode 15: How to Harness the Power of HabitsEpisode 164: Decluttering and Habit Management for Multi-Passionate Creatives with Katie HensonEpisode 210: Gratitude: One of the Simplest Habits to Improve Mental WellbeingEpisode 225: How to Rebuild a Lost Habit or Create a Better OneEpisode 227: Combining and Stacking Habits for Better ResultsEpisode 249: Five Energizing Habits to Make You More ProductiveEpisode 268: Build Strong Habits Based On Your PersonalityEpisode 1: The #1 Tool to Achieve ProductivityHabits PlaylistPositively Productive Resources LibraryBook a Clarity CallAsync CoachingProductivity Toolkit(Find links to books/gear on the Positively Productive Resources Page.)Dance Song Playlist V1, V2, V3Music by Ian and Jeff ZawrotnyStart your own podcast with Buzzsprout!Request this Toolkit and other free resources at the Resources Page.

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bottleneck during early GitHub Copilot trials, the three ways enterprises are coping with the volume now, and why Harness rebuilt its Code Repository and launched AI Code Review for agent traffic. The conversation also covers GitHub's recent outages, the software delivery knowledge graph behind Harness's reviewer, and how much of the delivery pipeline should stay deterministic. Learn more from The New Stack around the latest in coding agents:AI coding agents can write code, Crafting wants to help them ship itGit real: AI agents aren't just for solo developers anymoreJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

Please join us for Week Two of Pastor Derek's sermon series, Stung by the Tongue. This week we will be looking at Harnessing Hearsay. We are the lens through which most people see Jesus.  If we don't allow our tongues and hearts to be tamed and discipled, we paint a poor and unappealing view of Christianity. This week we will be sharing steps on how to keep gossip out of our lives.   This is sermon #2 of 4 in Derek's series "Stung by the Tongue" We hope this message encouraged you today! If it did, please subscribe to never miss a message. To learn more about Roswell United Methodist Church, access additional resources, and stay connected throughout the week, visit https://rumc.com. Follow us on Facebook and Instagram @RoswellUMC for the latest sermons, ministry updates, and upcoming events.

80% of people feel stuck in their own lives right now, and it has nothing to do with willpower. Dr. Katy Milkman, author of How to Change and professor at Wharton, breaks down why status quo bias and sunk cost thinking keep us glued to relationships, jobs, and habits that stopped working long ago. She explains the fresh start effect, why moments like Mondays, birthdays, and new zip codes actually rewire our motivation, and why waiting for a bigger breakdown might be costing you years. You will hear how she turned a dreaded gym habit into something she craved just by pairing it with Harry Potter audiobooks, and why a Google experiment on exercise proved that flexible backup plans beat rigid discipline every single time. She also gets honest about her own struggle with work life balance, choosing late night work over time with her five year old, and what she is doing to change that pattern right now. If you have ever broken a promise to yourself and felt the confidence drain out of you a little more each time, this conversation hands you the science to forgive yourself and start again smarter. Katy walks through commitment devices, temptation bundling, and the exact if then plans researchers use to make change stick long after the motivation fades. How to Change: The Science of Getting from Where You Are to Where You Want to Be Dr. Katy's website and newsletter In this episode you will: Diagnose the exact barrier, impulsivity, procrastination, forgetting, or low confidence, that's keeping you stuck, and match it to the right fix Harness the Fresh Start Effect to launch new habits at moments that actually stick, not just January 1st Turn dreaded tasks into cravings using temptation bundling, like pairing workouts with audiobooks you can't put down Build flexibility into your goals with Marissa Sharif's emergency reserve strategy so a missed day doesn't derail your progress Reframe big numbers into small daily wins, using the Acorns savings study, to make saving or goal-setting feel effortless Recover from failure faster by understanding why rigidity, not lack of willpower, is what really breaks habits For more information go to https://lewishowes.com/1976 More SOG episodes we think you'll love! Get More From Lewis! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This edition of the Harness Players' Podcasts features a pair of segments focused on harness racing action from Woodbine Mohawk Park, including an in-depth look with Ray Cotolo and Edison Hatter at the uber competitive Grade 1 Canadian Pacing Derby, which is the payoff leg to a $5 All-Stakes Pick 3 offered at Woodbine Mohawk Park on Saturday (Sept. 5). The second segment of the show features a look at the $5 Pick 3 sequence with Ray Cotolo and Mikee P, which also includes the Grade 2 Milton Stakes and the Grade 1 Maple Leaf Trot.

In The Money Media's Harness Players' Podcast returns with a deep dive into the field for this year's International Trot 2026, a $1-million race scheduled for Saturday, Sept. 12 at Yonkers Raceway. This year's edition attracts competitors from seven countries to go the 1-1/4-mile distance over the New York half-mile track. America will be represented by Super Chapter, runner-up in Hambletonian 2025 last year and a current standout among the older trotting ranks in North America. Canada's representative Lexus Kody, winner of International Trot 2025, returns to defend his title while Sweden has a four-pronged contingent including a pair that have campaigned in North America in Antongoni S for Ron Burke and Bourbonista S for Marcus Melander. Diva EK, who finished sixth in Elitloppet 2026 behind Allegiant, returns from a runner-up finish in last year's International Trot to represent Italy while Powwow, last year's third-place finisher, hoists the flag for Norway again. Gio Cash wears the badge for Germany and seeks revenge after being locked in the pocket in last year's International Trot, settling for fourth. Hooker Berry, winner of Prix d'Amerique 2023, earned an invitation to the race to represent France and Mellby Jinx is the last of the representatives for Sweden.

Sponsored by Blocks: Save at least 20% on your AWS costs with AI-powered optimization and enterprise discounts. Get your free Cloud Check at https://blocks.cloud/alphalist?utm_source=alphalist&utm_medium=podcast&utm_campaign=blocks-podcast-2026 David Soria Parra co-created the Model Context Protocol (MCP), the standard that now underpins most AI agent integrations, and, before that, spent years as a core contributor to Mercurial and on Meta's internal source control team. He got into programming at 13, writing a PHP guestbook for a gaming website with friends, and hasn't really stopped building since. This conversation goes straight to the thing every CTO is quietly building right now: their own agent harness. David makes a surprisingly blunt case that harness writing itself isn't the hard part: "give it a bunch of tools, a bunch of execution steps, be a little smarter about context selection, and go," and that most companies would be better off configuring a strong existing harness than building their own from scratch. He and Tobi also dig into why the "MCP vs. CLI" debate is largely manufactured, how Meta and Anthropic both run on almost no prescribed process, and how David's own workflow has quietly shifted from local Claude Code sessions to Slack threads over the past six months. CTOs will walk away with a clear-eyed, unhyped view of harness-building from the person who literally created the interoperability standard. Everyone argues about when building your own is worth it, what to check for in a vendor contract, and where to actually put your attention instead of endlessly optimizing your setup. What's covered: - David's path from a PHP guestbook at 13 to Mercurial core contributor to Meta's source control team - Biggest lessons from Meta, and how Anthropic runs on even less internal process - His personal setup: a handful of skills, a few MCP connectors, and why he's a "vanilla" tool user - Why his day-to-day workflow moved from Claude Code sessions into Slack threads with Claude - The real MCP-vs-CLI debate — and why it was never actually a debate - Should every CTO or engineer build their own agent harness? - What's still defensible in software engineering as agents get stronger

To Subscribe to DTC Newsletter - https://dtcnews.link/signupOnce Upon a Farm did $85.4 million in Q2, up 42% year over year, and reached 6.2% of US households against 5.0% a year earlier. Some of that growth traces back to a campaign that was never supposed to produce it. They were running lower-funnel media to their own site, a clean shop-now call to action, the kind of campaign you judge by tomorrow's site revenue. What moved was the retail business. Instacart got more efficient. Programs with accounts picked up momentum. Jennifer Berglund has spent the years since trying to see that effect properly instead of guessing at it, and now she is watching paid search at one retailer lift sales at another, and that's where Keen is worth its weight in premium baby food. If you run growth at a brand moving into retail: this is the episode about what happens to your job when the sale stops closing anywhere you can see it, and what you measure instead.If you own the media budget: Jennifer walks through how a one month TV test in 2021 turned into always-on upper funnel, including the matched-market holdout testing she used to defend it before she had a model.What they get into:The early signal: lower-funnel DTC media running, and the retail business taking off insteadThe finding out of Keen that surprised her most, paid search at Kroger or Target showing an effect on a different account entirelyWhy she treats ROAS as an education problem inside the company rather than a KPIThe trap in "new to brand" at a retailer, and why she takes it with a grain of saltHow she built the case for TV: 2021 test, then TV plus social plus out of home, then geo tests against comparable holdout markets, then always-onStreaming TV and YouTube, and Brad on buying top of funnel through retail media DSPs so the money still funnels to the retailerWhy every retail media network's conversion methodology is different, and what she uses those platform numbers for insteadThe moment a brand should stop putting every dollar into working media and start paying for measurementBrad on awareness as the leading indicator of household penetration, and household penetration as the leading indicator of revenueAmoeba marketing, which Brad coined live on the recording and Jennifer immediately claimed for her LinkedInWho this is for: operators whose business has outgrown the channel their reporting was built for. DTC brands going into retail, retail brands building ecommerce, anyone whose media now shows up in someone else's numbers.What to steal: the biweekly omnichannel meeting. Jennifer runs one across her media team and sales leadership. Sales says "I see this happening here," she says "we were running media during that time." That meeting found the halo before any model did.Harness the Halo is a six-part series from DTC and Keen about the spend that doesn't pay you back the same day, and the measurement that gives you room to make it. Episode 1 was the market read. This is the first brand.Timestamps:00:00 The Halo Effect of Digital Marketing07:00 Measuring Growth Across DTC and Retail15:00 How Marketing Channels Influence Each Other21:00 Streaming TV and YouTube Opportunities37:00 Why ROAS Can Be MisleadingSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Movie Metaphors: How Hollywood Can Transform HypnosisWhat if Hollywood has already created some of the most powerful hypnotic metaphors—and we have been absorbing them for years without realising it?In this special conversation with Graeme Wood, host of Beyond the Couch, Adam Cox explores how familiar films, characters and narrative structures can be transformed into powerful therapeutic interventions.Movies are natural memory anchors. Even decades later, people can recall a character's qualities, defining struggles and transformation. For a hypnotherapist, those stored associations offer a vast library of resource states, metaphors and emotional frameworks that can help clients create change.Adam and Graeme discuss:Why stories can bypass the defensiveness triggered by direct adviceHow movie characters can help clients access confidence, courage and resilienceUsing Inception to understand nested loops and deeper levels of dissociationHow Tenet inspired a “temporal pincer” approach to resourcing a traumatic memoryUsing Back to the Future to reframe the past and change its influence on the presentWhy the Hero's Journey can help clients stop identifying with their problemsTurning a client's greatest challenge into the final “face-off” that proves changeWhy Rocky's real victory was not winning the fight, but becoming resilient enough to keep goingUsing The Matrix as a metaphor for changing the personal simulation created by our beliefsHow Inside Out makes parts therapy and inner conflict easier to understandWhy therapists should test rather than guess which films and stories resonate with a clientAdam also reveals the premise of a screenplay he has written: a psychological heist thriller in which a hypnotherapist discovers that a troubled child may have been Satoshi Nakamoto in a past life—and may still hold the keys to a $100 billion Bitcoin fortune.Adam will present Movie Metaphors: How to Harness Hollywood for Your Hypnosis at the UK Hypnosis Convention, taking place from 13–15 November 2026 at the Renaissance London Heathrow Hotel.

Security teams spent decades begging for more logs. Now the enterprise is generating petabytes a day, and the thing drowning in it isn't just the SOC anymore, it's your AI agents too. In this episode, Ron sits down with Myke Lyons, CISO at Cribl, who cut his teeth in telemetry and logging decades ago and has landed right back there in the age of AI. Ron and Myke dig into why most telemetry failures aren't data problems at all, they're decisions nobody made about why the logs are being collected in the first place. Myke breaks down what to track on every agent in your environment, why token spend belongs on the security team's plate, why dashboards are quietly dying, and why treating an AI agent like just another employee is a mistake that's going to bite security teams hard. Underneath it all is one question Myke keeps circling back to: do you actually know what normal looks like for every agent in your environment? Impactful Moments 00:00 - Introduction 01:50 - Myth Busting: AI Agents Aren't Just Another User Account 04:25 - Meet Myke Lyons, CISO at Cribl 05:05 - What it means to run security at a telemetry company 06:10 - From gigabytes of logs at GE to petabytes today 07:45 - MITRE ATT&CK, Cribl's new APEX framework, and orienting telemetry 10:20 - Why most telemetry problems are decision problems, not data problems 13:20 - OCSF and how security teams are rethinking their schemas 14:25 - Why the dashboard is dying 17:35 - What Myke wants to track about every AI agent 20:10 - How to spot an agent going rogue 23:15 - Making your data AI-ready and the case for schematizing everything 27:10 - Tokenomics: treating AI spend as a security responsibility 29:05 - The non-negotiable logs every org should be collecting 31:50 - Hot takes: build vs. buy, tier two to three, and Myke's daily AI briefing 33:35 - Closing thoughts and outro Links Connect with Myke Lyons on LinkedIn: https://www.linkedin.com/in/mykelyons/ Learn more about Cribl: https://cribl.io/  –  Check out our upcoming events: https://www.hackervalley.com/livestreams   Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com   Become a sponsor of the show: https://hackervalley.com/work-with-us/

Watch the show on television by downloading the SuperCrowd.tv Channel app to your Roku or Amazon Fire TV or e360tv channel app to your Roku, LG or Amazon Fire TV. You can also see it on YouTube.Devin: What is your superpower?Michelle: I think of myself as having the superpower of a translator. I really thrive in doing curious, deep listening when I'm with people, and when you are in a mindset to listen, I think you can collect data at a rapid pace.Values-aligned investing becomes more accessible when advisors start with people's values instead of their account balances.That is the work Michelle Hoexum leads as CEO of Revalue, a Registered Investment Advisory firm and Purpose Built 100 winner. During this episode, Michelle explained how Revalue grew from early work in community impact investing into a fast-growing firm helping individuals, organizations and nonprofits align money with purpose.The traditional financial industry often leaves people out until they have accumulated enough wealth to qualify for service. Revalue chose a different path.“We became very accessible to people in the sense that we had no account minimums,” Michelle said. “So, we would accept people that the industry was leaving behind.”That commitment shows up in practical ways. Revalue helps clients consider public market investing, patient capital in their own communities and the deeper question of what money is for. Michelle described a client experience built around education, partnership and healing.Revalue is proud to be ranked #26 on the 2026 PurposeBuilt100™ list, recognizing America's fastest-growing mission-driven companies—proof that values-aligned investing and meaningful growth can go hand in hand. Meet the Class of 2026 — see the full list of winners →“A lot of clients come to us with guilt, just a lot of baggage around money,” she said. “We are able to break down the value of money or wealth into what we call the 10 forms of capital, which really gets its roots from permaculture.”That permaculture influence helps Revalue think in systems. Instead of chasing only the fastest financial return, the firm looks for long-term yield across multiple forms of capital, including social, natural, cultural, health and financial capital.For Michelle, that work begins inside the company. “Our strongest litmus test is our internal team culture,” she said. “Without internal team culture, we can't deliver then that same strategy to our clients.”I was struck by how much of Revalue's model challenges the assumptions baked into wealth management. The firm does not simply ask clients how much money they have or how much risk they can tolerate. Michelle wants to understand what matters to them.“This is your money,” she said. “You should never feel stupid about something that you worked very hard for.”That simple sentence captures the heart of Revalue's work. Financial wellbeing should not belong only to people who already feel confident with money. Revalue is showing that investing can be values-aligned, community-centered and deeply human.tl;dr:Revalue helps clients align investments with values, community impact and long-term regenerative thinking.Michelle Hoexum emphasizes no account minimums, making financial wellbeing more accessible to people.Money conversations at Revalue include healing guilt, building confidence and honoring personal agency.Permaculture shapes the firm's systems approach to wealth, culture and multiple forms of capital.Michelle's superpower, curious translation, turns deep listening into purpose-driven strategy and action.How to Develop Curious Translation As a SuperpowerMichelle describes her superpower as being “a translator,” grounded in “curious, deep listening.” She explained, “When you are in a mindset to listen, I think you can collect data at a rapid pace.” Her gift is connecting those data points into “a purpose-driven way of executing on those missions and values,” helping people see the systems they are part of and the strategies available to them. She said that “having that vision around what's possible and how to connect those dots” is what gets her out of bed in the morning.Michelle's path illustrates that power. After earning a finance degree, she worked in international banking in Chicago but felt drawn to food and moved to New York hoping to become a pastry chef. People did not understand the leap. She kept iterating, eventually combining food, PR, nonprofit storytelling and finance. Later, through her business Propeller, she helped creative entrepreneurs who had brilliant ideas but lacked business skills. Those experiences now help her understand purpose-built founders and the impact investments Revalue supports.Practice curious, deep listening before offering advice or solutions.Collect the data points people reveal through stories, values and context.Look for patterns across systems instead of treating problems in isolation.Translate what you hear into a purpose-driven strategy people can act on.Keep iterating when others do not understand your path or idea.Use story sharing to build trust, community and understanding.Harness who you are instead of trying to copy someone else's superpower.Find aligned people who strengthen your gifts and help them grow.By following Michelle's example and advice, you can make curious translation a skill. With practice and effort, you could make it a superpower that enables you to do more good in the world.Remember, however, that research into success suggests that building on your own superpowers is more important than creating new ones or overcoming weaknesses. You do you!Guest ProfileMichelle Hoexum (she/her):CEO, RevalueAbout Revalue: Revalue, is a Registered Investment Advisory firm, that lives at the edge. The fertile boundary where life takes hold. It is here, at this edge, that we are growing into the fullest expression of what's possible: where more people reach the resources they need, grow deeper roots, and live abundance.We lead regeneratively, using the wisdom of permaculture to inform how we think, plan, and grow. Observing before acting, working with what's already alive in a system rather than against it, designing for the long yield, not the quick one. We love to serve, and service means honoring sovereignty: every person we work with holds their own agency, their own path, their own way of defining a life well-lived. Our role is to help heal. Be it money stories, or the flow of capital for the collective good, for humanity, with humanity.We hold that true wealth is multidimensional, made up of many forms of capital. Social, natural, cultural, spiritual, material, intellectual, health, attention, built, and financial. These multiple forms of capital are important because a whole life is not built from one root alone. We center on healing, recognizing that how capital has moved in the past has often left depletion in its wake. Our work is to help it flow differently, replenishing what it touches rather than extracting from it.There is no single right way to grow. We honor many paths. Revalue holds space for all of them, the way a healthy edge holds many species at once, each thriving because of, not despite, its neighbors.Website: revalueinvesting.comLinkedIn: linkedin.com/company/revalueinvesting/Biographical Information: I live in a 100-year-old house with floors made from then 100 yr old trees. So, every day I am grounded in old growth forest wisdom. My chocolate lab, Albert, is my constant companion and helps me build real community with my neighbors. He reminds me of curiosity and generosity every day.LinkedIn: linkedin.com/in/michelle-hoexum-699b926/Watch the Impact Stories on BIG Screen!Support Our SponsorsOur generous sponsors make our work possible, serving impact investors, social entrepreneurs, community builders and diverse founders. Today's advertisers include PurposeBuilt100™ Winners and supercrowd.tv. Learn more about advertising with us here.Max-Impact Members(We're grateful for every one of these community champions who make this work possible.)Brian Christie, Brainsy | Cameron Neil, Lend For Good | Carol Fineagan, Independent Consultant | Eric Coury, Arthia AI | Joey Hayes, thru | John Berlet, CORE Tax Deeds, LLC. | Justin Starbird, The Aebli Group | Ken Steele, Rotarian | Lory Moore, Lory Moore Law | Marcia Brinton, High Desert Gear | Mark Grimes, Networked Enterprise Development | Mike Babbit | Coledger Solutions | Mike Green, Envirosult | Nick Degnan, Unlimit Ventures | Paul Lovejoy, Stakeholder Enterprise | Pearl Wright, Global Changemaker | Scott Thorpe, Philanthropist | Sharon Samjitsingh, Health Care Originals | Add Your Name HereUpcoming SuperCrowd Event CalendarIf a location is not noted, the events below are virtual.Join the SuperCrowd Impact League! You can be recognized for making impact investments via Reg CF. See how your activity compares to your peers. It's free. Win valuable prizes. Start now!SuperCrowd Impact Member Networking Session: Impact (and, of course, Max-Impact) Members of the SuperCrowd are invited to a private networking session on September 8th at 8:00 PM ET/5:00 PM PT. Mark your calendar. We'll send private emails to Impact Members with registration details. Upgrade to Impact Membership today!Apply for the Superpowers for Good Live Pitch: Are you raising capital through Regulation Crowdfunding? Apply by September 2 for the September 30 Superpowers for Good Live Pitch. Selected founders pitch free to investors and gain exposure through SuperCrowd.tv, e360tv, social media, and our 10,000-subscriber newsletter. We especially encourage social entrepreneurs, women and underrepresented entrepreneurs to apply.Visit Our Complete Community Event CalendarIf you would like to submit an event for us to share with the 10,000+ changemakers, investors and entrepreneurs who are members of the SuperCrowd, click here.Manage the volume of emails you receive from us by clicking here.We share educational information—not investment advice. Some links may generate compensation. See our full disclosure.We use AI to help us write compelling recaps of each episode. Get full access to Superpowers for Good at www.superpowers4good.com/subscribe

It is hard to believe, but MDD is celebrating its FIFTH anniversary! After surprising Dr. Kuba with this anniversary reminder, Bethany reflects on her favorite episode as well as the way the themes and topics have changed over the years. Dr. Kuba reflects on her favorite moments and aspects of being a show host. They both marvel at the international reach of the show (hello Germany!). Together, they dream about the days ahead for MDD. Thank you, listeners, for five amazing years! LAST week to register for the September 18 Leadership Summit! Don't miss it! When: September 18, 2026 from 8:30 a.m. - 4:30 p.m. (Lunch served) Where: Homewood Suites, The Colony, TXWho: Practice owners and leaders are invitedWhat: Bring your leadership problems, and we will solve them together! Harness a day full of practical solutions surrounded by like-minded leaders. HUB HIGHLIGHTTime Study BundleEverybody thinks they know where the day goes until they actually track it. A week of real numbers tells you whether you need another team member or just a different schedule.Employee Conference AgreementSending a team member to a conference costs real money, so put the terms in writing before they go. The template gives you the agreement language and a sample itinerary, so nobody's guessing about who covers what or what you expect in return.Don't forget to check out our social media for moreManaging Dental Drama FBManaging Dental Drama IGConnect with the Managing Dental Drama Community!Managing Dental Drama Membership Club Sign UpWait! There's More!We want to hear YOUR voice!Text a 2-minute voice memo to 214.326.4605 with your questions, comments, real-life examples, or tips for a chance to have YOUR voice on the air!Interested in the Leadership Summit?Join Us! Friday, September 18, 20268:30am - 4:30pmIn The Colony, TXInquire or register TODAY!HelloBethany.com/Leadership

Three segments on the Harness Players Podcast this week with a Grand Circuit card at Woodbine Mohawk Park on Saturday Night. Driver Tyler Moore stops in for an interview on Detonator Hanover who is the ML favorite for the William Wellwood Memorial Final. Mikee P. sits down with Edison Hatter for a look at the $5 Pick 3 on Saturday Races 5,7,9 with a 15% Takeout. Ray Cotolo drops by to dissect Race 12 and the Mandatory Payout High 5 with a $200,000 Carryover.

Get AudioBooks for Free Best Self-improvement Motivation Harness the Power of a Marketing Funnel | Dan Lok Learn how to harness the power of a marketing funnel to attract leads, increase sales, and grow your business with Dan Lok's proven strategies. ⁠We Need Your Love & Support ❤️ ⁠⁠⁠⁠⁠⁠⁠⁠⁠Get 3 Audiobooks Free -