Podcasts about Terminology

On this episode of Stitch Please, Lisa takes on the sewing terms that can make a beginners' eyes glaze over.But don't worry this isn't a vocabulary quiz. Lisa breaks down what these mysterious fabric words actually mean, why they matter, and how ignoring them can leave you with twisted pants, wonky hems, and a project that no amount of ironing can save.With plenty of humor, fabric nerd facts, and a warning about the dangers of playing “Pattern Jenga” with your yardage, this episode will help you get your Stitch Together!=====Hosted By: Dr. Lisa WoolforkSenior Producer: Krystal HillProducer: Mike Bryant============Dr. Lisa Woolfork is an associate professor of English specializing in African American literature and culture. Her teaching and research explore Black women writers, Black identity, trauma theory, and American slavery. She is the founder of Black Women Stitch, the sewing group where Black lives matter. She is also the host/producer of Stitch Please, a weekly audio podcast that centers on Black women, girls, and femmes in sewing. In the summer of 2017, she actively resisted the white supremacist marches in her community, Charlottesville, Virginia. The city became a symbol of lethal resurging white supremacist violence. She remains active in a variety of university and community initiatives, including the Community Engaged Scholars program. She believes in the power of creative liberation.Instagram: Lisa WoolforkTwitter: Lisa Woolfork======Stay Connected:YouTube: Black Women StitchInstagram: Black Women StitchFacebook: Stitch Please Podcast--Sign up for the Black Women Stitch quarterly newsletterCheck out our merch hereLeave a BACKSTITCH message and tell us about your favorite episode.Join the Black Women Stitch PatreonCheck out our Amazon Store

Today we revisit a topic we last discussed in a 2020 podcast with Laura Mosqueda: elder mistreatment.  Our guests today are geriatricians Carrie Rubenstein and Julia Hiner, and Tony Rosen, an emergency medicine doctor. They talk about where we are now, in 2026, with elder mistreatment, including: Terminology: elder mistreatment vs. abuse and neglect The need to incorporate prevention and solutions into how we talk about mistreatment This is not rocket science. Studying elder mistreatment is much harder than rocket science. Highlighting the reasons they focus on elder mistreatment, including inspiring words for why this led them to geriatrics and aging research Should we screen for elder mistreatment? The US Preventive Services Task Force doesn't see enough evidence to recommend screening. Our guests may differ… Which clinicians should assess for elder mistreatment? Hospitalists? ED docs? Primary care providers? Tony published a study in JAGS showing older adults who experienced elder mistreatment were as likely to visit primary care as those who did not, also great accompanying editorial by Mara Rosenberg and Lena Makaroun gets a shout out. Early evidence that supporting caregivers can reduce elder mistreatment (in one small study of the COACH intervention, rates of mistreatment were reduced to zero) Borrowing from pediatrics: many/most hospitals and emergency departments can call a Child Protective Services Team. Tony is piloting a parallel team for older adults - the Vulnerable Elders Protection Team (see JAGS paper).   We talk about key members of interdisciplinary teams across sites, systems, and counties. Social workers get a big shout out. A one year fellowship in capacity assessment and elder mistreatment at UT Houston, directed by Julia. An Elder Abuse Curriculum for Medical Residents and Geriatric Medicine Fellows https://pmc.ncbi.nlm.nih.gov/articles/PMC10842324/ Kudos to my son Renn for recording 5 overlapping cello parts on Eleanor Rigby! -Alex Smith  

How are clinicians on both sides of the border integrating nutrition into the healthcare system? In this episode of the Culinary Medicine Recipe podcast, Dr. Falquier chats with registered dietitian, Julia MacLaren, to explore the evolution of food skills programs across Canada and the US.Whether you are a healthcare professional looking to improve patient outcomes through lifestyle medicine or an individual focused on preventive nutrition, this conversation offers a cross-border perspective.In this episode, we explore:Bridging the Gap: How clinicians can move beyond "prescribing" a diet to teaching the food skills necessary for long-term adherence.National Agency Funding of Healthcare Innovation: Is there interest in culinary medicine?Systems Innovation: A look at food skills initiatives in Canada.Culinary Medicine in Public Healthcare: Can it be done?Timecodes:·      Culinary medicine program success stories [1:40]·      Are healthcare systems recognizing the benefits of food skills programs? [6:30]·      Julia MacLaren's path into culinary medicine [9:30]·      Collaboration in culinary medicine [13:10]·      Food skills in Canada's food guide [15:15]·      How culinary medicine will evolve in Canada's public healthcare system? [17:00]·      Culinary medicine in Canada vs. the U.S. [19:20]·      One of Julia's favourite food skills intervention programs [20:00]·      Terminology in culinary medicine [22:20]·      Culinary medicine as part of healthcare innovation in Canada, U.S. & globally [24:00]  Connect with the Show:·       Instagram: @alternativefoodnetwork ·       Website: alternativefoodnetwork.comIf you enjoyed this episode, please leave a 5-star review - it helps us reach more listeners looking to take control of their health through food!Credits:Host – Dr. Sabrina Falquier, MD, CCMS, DipABLMSound and Editing – Will CrannExecutive Producer – Esther Garfin©2026 Alternative Food Network Inc.To help support the podcast, please go to Buy Me a Coffee.Dr. Sabrina Falquier is a board-certified physician and a leader in Culinary Medicine. She specializes in bridging the gap between scientific evidence and the actual food on your plate, empowering listeners to use the kitchen as a place of wellness and healing.Show Topics Include: Nutrition, Food as Medicine, Microbiome, Metabolism, Weight loss, Gut health, Healthy recipes, Health, Inflammation, Longevity, Blood sugar, Protein, Magnesium, Sleep quality, Immunity, Hormone balance, Sunday meal prep, Medically tailored meals (MTM), Produce Prescription (PRx), Prevention, Teaching kitchen, Health equity, Evidence-based nutrition, food podcast insights

In this foundational episode of The Happy Flosser, Billie breaks down the essential building blocks every dental hygiene student needs: core dental terminology, tooth designation systems, and a grounding introduction to the profession of dental hygiene. Whether you're preparing for clinic, studying for exams, or building confidence in your professional language, this episode gives you the clarity and structure you need to feel more at home in dentistry.

SUMiT joined DJ Pup Dawg to discuss his musical journey, explaining how his humble approach to the industry, letting the music do the talking, has paid off with big collaborations. He detailed the story behind tracking down the legendary Method Man for a feature with the help of his friend and producer, Terminology, who had recently released his 60th album. summit also laughed about a late-night recording session mishap in Lowell with Tyla Yaweh.See omnystudio.com/listener for privacy information.

Welcome to MrMaple Podcasts, your go-to destination for all things horticulture. Our playlist is a collection of podcasts that showcase various plants and interview renowned horticulturists. We aim to educate and inspire our listeners about the beauty of plants and the knowledge needed to cultivate them. Our podcasts cover a wide range of topics, from Japanese Maples, Conifers, Ginkgos, and Azaleas to interviews with experts in the field. Tune in every Sunday at 8PM eastern for a new episode and join us on this journey to discover the wonders of horticulture.

Send us Fan MailIn this episode of The Oncology Journal Club, the team cover one of the most talked-about pancreatic cancer papers of the year, unpacking the promising early results for daraxonrasib in previously treated RAS-mutated pancreatic cancer and the science behind new RAS(ON) therapeutics. The team also discuss a fascinating phase II study of single-cycle neoadjuvant pembrolizumab in MMR-deficient colon cancer, new recommendations from the Prostate Cancer Working Group 4 and why the terminology we use in prostate cancer matters.Along the way, there's discussion of Bob Marley's acral melanoma, multidisciplinary lung cancer meetings, androgen receptor-positive TNBC, HER2-mutant lung cancer and whether oxybutynin could help men experiencing androgen deprivation-related hot flushes.The Oncology Journal Club Podcast is hosted by Professor Craig Underhill, Dr Kate Clarke and Professor Chris Jackson, and proudly produced by The Oncology NetworkVisit oncologynetwork.com.au for Show Notes, to send us Voice Notes and more information. 

Cuba's government says the Caribbean island nation has run out of oil, following a months-long energy blockade by the U.S. in hopes of forcing political change. We hear about what might happen next for Cubans.And the State Department is changing the way the U.S. diplomats talk about migration and refugees, embracing the "Great Replacement" theory promoted by white nationalists. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

Documenting and coding sepsis has challenged virtually everyone in healthcare ever since Sepsis-3 redefined the condition in 2016 as a “life-threatening organ dysfunction due to a dysregulated host response to infection.”Meanwhile, ICD-10-CM still maintains the older Sepsis-2 language of sepsis (SIRS/Systemic Inflammatory Response Syndrome due to infection, without organ dysfunction) and severe sepsis (sepsis that does result in organ dysfunction).During the next live edition of Monitor Monday, Dr. James S. Kennedy will report on efforts currently underway to address the recent Centers for Disease Control and Protection (CDC) proposal to align ICD-10-CM to Sepsis-3/Phoenix terminology, and to introduce new codes for “impending sepsis,” also known as pre-sepsis: a morbid continuum between a localized infection with and without Sepsis-3/Phoenix-defined sepsis .Dr. Kennedy is expected to solicit assistance from Monitor Mondays listeners toward a reasonable solution.Broadcast segments will also include these instantly recognizable features:• Monday Rounds: Ronald Hirsch, MD, vice president of R1 RCM, will be making his Monday Rounds.• The RAC Report: Healthcare attorney Knicole Emanuel, partner at the law firm of Nelson Mullins, will report the latest news about auditors.• Risky Business: Healthcare attorney David Glaser, shareholder in the law offices of Fredrikson & Byron, will join the broadcast with his trademark segment.• Legislative Update: Matthew Albright, chief legislative affairs liaison for Zelis, will report on current healthcare legislation.

Think your business contracts are airtight? Think again. In this essential episode, Michelle sits down with Gabby Moussa: the legal expert who helps creatives and entrepreneurs dodge some of the most common (and costly) mistakes. From why relying on AI like ChatGPT for your contracts can backfire, to simple steps you can take right now to protect yourself, this candid conversation pulls back the curtain on contracts, intellectual property, LLCs, and everything small business owners really need to know— but might be avoiding. Before your next client project, hit play. Your future self (and your bank account) will thank you.   Gabby Moussa is a partner at Guide My Business, a boutique law firm specializing in business and real estate transactions. She advises entrepreneurs, developers, and growing companies on deal structures, brand protection, agreement negotiations, and navigating complex legal issues with a practical, business-focused approach. ------------------------ In today's episode, we cover the following: How she started her own firm Why you don't want AI to write your contracts Terminology to know in contracts Legal considerations for small businesses Service agreements and intellectual property How to protect yourself as a woman in business Contract negotiation philosophies Business partnerships and dispute provisions Hiring 1099 contractors vs. W2 employees Current legal trends and challenges Remote work trends and classification implications Professionalism, reputation, and social consequences Strategies for business breakups and difficult conversations Litigation, enforcement, proactive and reactive legal strategy The cost of omitting legal formalities at the start ---------------------- RESOURCES: Episode 190: How to Own Your Own Brand with Guide My Business ---------------------- Guest info: To learn more about Gabby and Guide My Business, follow them on Instagram @GuideMyBusiness and @GabbyMoussa and visit their website, GuideMyBusiness.co ----------------------- WORK WITH MKW CREATIVE CO.   Connect on social with Michelle at: Kiss My Aesthetic Facebook Group Instagram Tik Tok -----------------------   -- COFFEE -- Did you know that the fuel of the POD and the KMA Team runs on coffee? ;) If you love the content shared in the KMA podcast, you're welcome to invite us to a cup of coffee any time - Buy Me a Coffee! -- ZENCASTR -- This episode is brought to you by Zencastr. Create high-quality video and audio content. Get your first two weeks free at https://zencastr.com/?via=kma . -- AUDIBLE -- This episode of the Kiss My Aesthetic Podcast is brought to you by Audible. Get your first month free at www.audible.com/kma.   This episode was edited by Berta Wired Theme music by: Eliza Rosevera and Nathan Menard

Do you have… Aura? In this episode Michaela dives into the viral world of Gen Z aura terminology, what are “aura points,” what does it mean to be “aura farming,” and how do these trends actually connect to the real energy fields she sees around people every day?Michaela and Scott break down the deeper spiritual meaning behind these buzzwords and reveal how life force energy shows up in ways Gen Z might be intuitively picking up on. Then, they put it to the test as they discuss which public figures truly have aura, from the feud between Alex Cooper and Alix Earle, the Coachella Justin Bieber Performance as well as the iconic Beyoncé.They also explore the energy signatures of notable figures throughout history, both famous and infamous, and what their auras might reveal about their influence, power, and legacy.If you've ever wondered whether “aura maxxing” is more than just a trend, this episode connects the dots between modern language and timeless spiritual insight.Want to learn more? Enjoy one of our new interactive Aura quizzes: https://knowyouraura.com/aura-quizzes/Listen to this introductory episode to find your Aura color: https://podcasts.apple.com/us/podcast/bonus-every-aura-color-explained/id1477126939?i=1000479357880Send Mystic Michaela some positive energy on Instagram: https://www.instagram.com/mysticmichaela/Explore the Know Your Aura Website : https://knowyouraura.com/Visit Mystic Michaela's Website: https://www.mysticmichaela.com/Join Mystic Michaela's Facebook Group: https://www.facebook.com/groups/2093029197406168/Our Episode Partners:For a limited time, get 30% off your order when you head to https://boxiecat.com/kya and use code KYAGet 15% off OneSkin with the code KYA at https://www.oneskin.co/KYA #oneskinpodGet $30 off your first box - PLUS free Croissants for life - when you go to https://wildgrain.com/kya to start your subscription today.TDM-RESERVATION: 1. NOAI: TRUE. LEGAL NOTICE & TERMS OF USE: © 2026 WAVE Podcast Network. This content is for personal use only. Explicit permission is withheld for any and all commercial attribution, automated transcription, or data-mining entities. Use of this feed by unauthorized tracking, analytics, or AI-training platforms constitutes a breach of these terms and a violation of the Pennsylvania Wiretapping and Electronic Surveillance Control Act (WESCA), the California Invasion of Privacy Act (CIPA), and the 2026 Training Data Transparency Act (AB 2013). Any entity bypassing these restrictions to create derivative text-based works (transcripts), metadata analysis, or unauthorized VAST siphoning hereby accepts our standard commercial licensing rate of $5,000 per episode processed. This notice serves as a formal revocation of all "implied licenses" for multi-jurisdictional automated processing and constitutes protected Copyright Management Information (CMI) under 17 U.S.C. § 1202.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Summary:This podcast features Dr. Kaitlyn Lackey and expert Bharon Hoag discussing the recent proposed changes to Texas veterinary regulations affecting animal chiropractic practice. They explore the history, current challenges, and strategic actions needed to protect the profession.Keywords:animal chiropractic, Texas vet board, regulation, legislation, veterinary law, chiropractic, animal health, advocacy, professional rights Key topics:Texas veterinary regulation changesLegal and legislative strategies for animal chiropracticCall to actionTitles:How Texas' Proposed Vet Regulations Threaten Animal ChiropracticThe Fight for Animal Chiropractic Rights in Texas sound bites"Making sure things are done with clarity and accuracy.""The proposed language is an overreach by the vet board.""Safety should be the priority in regulation."Chapters:00:00 Introduction and Context of the Regulation Changes01:10 Bharon Hoag's Background and Entry into Animal Chiropractic02:56 Discrepancies in State Regulations and Organizational Efforts05:28 Overview of the Proposed Changes by the Texas Vet Board08:00 Implications of New Language and Supervision Requirements11:00 Core Competency and Education Concerns for Veterinarians14:07 Safety and Scope of Practice in Texas Regulations17:30 Modalities and Terminology in Proposed Regulations22:19 Distinguishing Chiropractic from Mobilization and Manipulation25:37 Historical Battles and Political Context in Texas31:26 Strategies for Advocacy and Public Engagement42:22 How to Support the Cause and Get Involved resourcesLinks and Resources:One Chiropractic - https://onechiropractic.org/animalchiroProposed changes-https://veterinary.texas.gov/announcements/tbvme-seeks-feedback-on-rule-drafts/Send your comments-Email: comment@veterinary.texas.govPhone: 512-463-6599Address: TBVME PO Box 12157, Austin, TX 78711Attend in person-April 21st @ 9 amTexas Department of Licensing & Regulation (TDLR)North Campus1106 Clayton Lane, Suite 125EAustin, TX 78723 Tune in virtually to the meeting April 21st-https://www.youtube.com/live/oeGEu7zpNQk?si=7IE6u6TGl7Jf9T-i

Discover what it takes to launch a career in one of the UK's most renowned graduate trainee schemes!

--{ "Mass-Movements versus the Residual Individual - Accepting the Uniqueness of Self"}-- Alan Watt's video, Reality Check part 1; Leonard Cohen's “The Future” - The blending of science and spirit since Blavatsky down to the present - Patriots and truthers who now promote vibrating higher, neo-paganism, microdosing, anarcho-capitalism, etc. - Repent - Easter pageants and music festivals - Movie used to illustrate Alan's talk is a Czech film from 1967, Marketa Lazarova. Parental guidance suggested: violence, sexuality, nudity. Alan Watt: Tyranny uses cheap repetitive slogans. Terminology constantly changing to cover the same totalitarian procedures. --War on Poverty = More Poor. War on Drugs = More Drugs. War on Obesity = More Obese. --International Corporations promoting denaturalised food for 30 years, causing malnourished, obese people. --Culture promoted: Man and Wife working, therefore, eat fast food and take-outs. Who gets blamed for obesity?-The obese people. --Training Public to Obey evermore prevalent Road Checks. The message is: OBEY. Black-clad combat-booted police. They call their roadside checks “Blitzes” (after Natzi Blitzkrieg). --Canada Day, so eat lots of garlic. Same with upcoming U.S. “In-Dependence” Day. Who created the borders? Masonic obelisks set along U.S.-Canada border = Big Builders' agreement. --Churches forget Individual Soul, and create Mass Social Conformist Organization-Helps to destroy the Individual's Search (Book: The Undiscovered Self, by Carl Jung). (Song: “You'll Never Walk Alone” by Gerry Marsden)

Mistral has been on an absolute tear - with frequent successful model launches it is easy to forget that they raised the largest European AI round in history last year. We were long overdue for a Mistral episode, and we were very fortunate to work with Sophia and Howard to catch up with Pavan (Voxtral lead) and Guillaume (Chief Scientist, Co-founder) on the occasion of this week's Voxtral TTS launch:Mistral can't directly say it, but the benchmarks do imply, that this is basically an open-weights ElevenLabs-level TTS model (Technically, it is a 4B Ministral based multilingual low-latency TTS open weights model that has a 68.4% win rate vs ElevenLabs Flash v2.5). The contributions are not just in the open weights but also in open research: We also spend a decent amount of the pod talking about their architecture that combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens (typically only applied in the Image Generation space, as seen in the Flow Matching NeurIPS workshop from the principal authors that we reference in the pod).You can catch up on the paper here and the full episode is live on youtube!Timestamps00:00 Welcome and Guests00:22 Announcing Voxtral TTS01:41 Architecture and Codec02:53 Understanding vs Generation05:39 Flow Matching for Audio07:27 Real Time Voice Agents13:40 Efficiency and Model Strategy14:53 Voice Agents Vision17:56 Enterprise Deployment and Privacy23:39 Fine Tuning and Personalization25:22 Enterprise Voice Personalization26:09 Long-Form Speech Models26:58 Real-Time Encoder Advances27:45 Scaling Context for TTS28:53 What Makes Small Models30:37 Merging Modalities Tradeoffs33:05 Open Source Mission35:51 Lean and Formal Proofs38:40 Reasoning Transfer and Agents40:25 Next Frontiers in Training42:20 Hiring and AI for Science44:19 Forward Deployed Engineering46:22 Customer Feedback Loop48:29 Wrap Up and ThanksTranscriptswyx: Okay, welcome to Latent Space. We're here in the studio with our gues co-host Vibh u. Welcome. Thanks. Excited for this one as well as Guillaume and Pavan from Mistral. Welcome. Excited to be here.Guillaume: Thank you.swyx: Pavan, you are leading audio research at Mistral and Guillaume, you're Chief Scientist,Announcing Voxtral TTSswyxHost(00:05) Okay. (00:05) Welcome to Lean Space. (00:06) We're here in the studio with trustee co-hosts, Vibhu. (00:09) Welcome.VibhuHost(00:11) Very excited for this one.swyxHost(00:12) As well as Guillaume and Pavan from Mistral. (00:15) Welcome. (00:16) Excited to be here. (00:17) Thank you for having us.(00:18) Pavan, you are leading audio research at Mistral and Guillaume, you're a chief scientist. (00:23) What are we announcing today where we're coordinating this release with you guys?GuillaumeGuest(00:26) Yeah, so we are releasing Voxtral TTS. So it's our first audio model that generates speech. It's not our first audio model. We had a couple of releases before.(00:35) We had one in the summer that was Voxtral, our first audio model, but it was like a transcription model, ASR. Like a few months later, we released some update on top of this, supporting more languages. Also a lot of table stack features for our customers, context biasing, precision, timestamping and transcription. We also have some real-time model that can transcribe not just at the end of the level.(00:56) You don't need to fill your entire audio file, but that can also come in real-time. And here, this is a natural extension in the audio, so basically speech generation. So yeah, so we support nine languages, and this is a pretty small model, 3D model, so very fast, and also state of the art. Performed at the same level as the base model, but it's much more efficient in terms of cost, and also much, in terms of cost, it's also much cheaper, only a fraction of the cost of our competitors.(01:22) And we are also releasing the work that this model is running.swyx What's the decision factor?Guillaume It's a good question.swyxThere will be more. Yeah, Pavan, any sort of research notes to add on?Architecture and CodecPavan: But it's a novel architecture that we develop inhouse.We traded on several internal architectures and ended up with a auto aggressive flow matching architecture. And also have a new in-house neural audio codec. Which, converts this audio into all point by herds latent [00:02:00] tokens, semantic and acoustic tokens. And yeah, that's that's their new part about this model and we're pretty excited that it's, it came out with such good quality and Jim was mentioning. Yeah, it's a three B model. It's based off of the TAL model that we actually released just a few months back and insert trunk and mainly meant for like the TTS stuff, but they need text capabilities are also there. Yeah.swyx: So there's a lot to cover.I always I love any, anything to do with novel encodings and all those things because I think that's obviously I creates a lot of efficiency, but also maybe bugs that sometimes happen. You were previously a Gemini and you worked on post training for language models, and maybe a lot of people will have less experience with audio models just in general compared to pure language.What did you find that you have to revisit from scratch as you joined this trial and started doing this? At leastUnderstanding vs GenerationPavan: when it comes to, for, I think the, there are two buckets, I guess the audio understanding and audio [00:03:00] generation. The audio understanding, like the walkthrough models that Kim was mentioning that we released earlier.The walkthrough chat that we released I think July last year, and the follow up transcription only, models family that we released in January, that would be one bucket, and the generation is another bucket. I think. You can also treat them as a unified set of models, but currently the approaches are a little different between these two.To your question on how audio is fed to the model? In the understanding model, it's very similar to actually Pixar models that we also released,swyx: yes.Pavan: That'sswyx: amazing.Pavan: It was pretty, I, that was the first project I worked on after joined Misra. It was pretty, pretty nice. And Wtu was very similar in spirit.I guess So we feed audio through an audio encoder similar to images through a vision encoder, and it produces continuous embeddings and which are fed as tokens to the main transformer decoded transformer model. Yeah. On the model output is just text. So on the output side, there is nothing that needs to be done in these kinds of mode.I [00:04:00] guess the interesting part of what the generation stuff is, the output now has to produce audio and. The approach that we have is this neural audio codec, which converts audio into these latent tokens. There is a lot of existing attrition and a lot of models which are based off of this kind of approach.And we took a slightly. A different, design decisions around this. But at the end of the day, the neural audio product converts audio into a 12.5 herdz set of latents. And each latent is, has a semantic token and a set of acoustic tokens. And the idea is that you take these discrete tokens and then feed it on the input side.There's several ways to use this at each frame, but we just sum the embedding. So it's like having key different vocabularies. Combine all of them because they all correspond to one audio frame on the input side. The output side is the interesting part on the output side, the, it's not the, I don't know if it's the most popular, but one.Popular technique is to have a depth transformer [00:05:00] because you have K tokens at each time step, like with a text, you just have one token at each time step. So you just do predict the token from the vocabulary with, yeah, with just, you get probabilityswyx: This's a very straightforward text. VeryPavan: straightforward.swyx: Yeah.Pavan: But if you have K tokens, then the name thing would be to predict all of them in paddle. That doesn't work. At least that doesn't work that well because audio has more entropy. And the, one of the techniques people use is this depth transformer where you you almost have a small transformer, or it can be L-S-T-M-R in as well, but people use transformers and you predict the K tokens in auto aggressive fashion in that.So you have two auto reive things going on.Flow Matching for AudioPavan: So the thing we did differently is in, instead of having this auto aggressive K step prediction, we have a flow matching model. Instead of modeling this as a discrete token set we trained the codec to be both discrete and continuous to have this flexibility.So we did try the discrete stuff too, and which it works well, but the continuous stuff works just better. So yeah, we took this flow matching, so the, it's a flow [00:06:00] matching head, which takes the latent from the main transformer and like kind in fusion, it's denoising, but in this flow matching itself, velocity estimate.So you go from this noise t all the way to there. Audio latent, which corresponds to the 80 millisecond audio and then, which is sent through the work order to get back the 80 millisecond audio frame.swyx: Yeah. Is this the first application of flow matching in audio? Because usually I come across this in the image.Pavan: Yeah. Actually, in some sense there are models flow matching models in audio, but I think this specific combination I could be wrong. There could be somewhat. No. I haven't seen. I haven't seen much work in this, so I think it's novel and a lot of it's just a way bigger community, so they, I think they pioneer a lot of these diffusion flow matching work, and it's interesting to adopt some of the ideas there into audio and,swyx: yeah.Pavan: Yeah, I'm, personally that's the think part which is trying out about. One of more meta point is unlike text, even in vision, I think this is true, but in [00:07:00] audio step literature that there is no.Winner model, yet there is no, okay, this is the way you do things. It's it's still by, I think people are still iterating and figuring out like what's the best overall recipe. I guess the idea. Pretty sure there are models which are also completely end-to-end, like NATO audio. NATO audio, but it's still not come to a convergence point where this, the right way to think that.That also makes. A space pretty exciting to explore.Real Time Voice AgentsVibhu: What are some of the ways to look at it?Vibhu: There are ways where you can do diffusion for audio generation, but if you want like real time generation, that's a big thing with the approach I'm assuming that you took. Yeah. And also like how do you go about evaluating different axes of what you care about, yeah,Pavan: good point. I think we so you can do just flow matching diffusion for the whole audio. We didn't even go down that path because one of the main applications is voice agents and we want real time streaming, and that's the use case. That's not the only use case, but that's one of the primary use cases we want to get to.So we [00:08:00] picked the auto aggressive approach for that. And within the auto aggressive space, again, you can do chunk by chunk or you can do so we picked the. I think at least personally prefer the operations, which are the simplest, and so we try to see, can we just add audio as just another head to our regular transformer decode model because that kind of makes it easier for eventual end-to-end modeling of audio text native modeling.Yeah. And it works pretty well. So I guess we went with that and we tried a little bit, but the flow matching head itself, like we had a discreet. Diffusion kind of approach, which also works well, but the flow matching work better.swyx: I was just curious about how you also think about this overall direction of research.Do you basically, when you work with the audio team, do you set some high level parameters and then let them explore whatever, or how does it work between you guys?Guillaume: No I think the way it works is that we are the, we are prioritizing together, I think, what are the most important features because there are many things we can do [00:09:00] in audio.Yeah, I think we try to. These are like how we should do things, for instance. Ultimately what we want to do is to build this through duplex model, but we are not going to start this start there directly, I think is. Some of the project people are doing, butswyx: just to confirm, full effects means it can speak while I'm speaking or,Guillaume: yeah.Okay. Audio. Yeah. Yeah. So intimately we're going to get there, but for us it was, we decided to take it like a step by step. So we start with whatever is the most important. I think support customers, which is the transcription is the most popular use case. Then the speech generation, Soviet time, just a bit before that.And then actually to be like more, but try combining everything all together. But but yeah, we thought it was also important to like separate things and optimize each capability one by one before weswyx: measure of that together. And the super omni model. ButGuillaume: very interesting because as Par said, it's when you work on some other domains of this airline and everything, there are many areas where I think it's not as interesting.For instance. Many places, it's essentially just around data or like creating new environments on a lot of kind [00:10:00] of easy things. But things were, I think the research is maybe not as interesting. Were in audio. There are so many ways to actually build this model. So many ways to go around it. That's the sense I think is really interesting.And what we also tried for speed generation is that we tried multiple approaches. What was interesting that even though they were extremely different, they under the big know the particles but the for matching turned out to be quite more natural. So we are happy with this.swyx: Is there intuition why it maybe like flow matching is just models speech better in some natural fundamental, latent dimension?Pavan: No, I think the main thing is e even at a particular time step, there is a distribution of things.swyx: Yes.Pavan: To be predicted like the way you inflate. So you already know the word that you're speaking and Yeah. The intake space, let's say the word maps register a single token for simplicity.In most cases it does. So there is not a lot of so you just pick the word, but with within audio, even the same word could, even with your own voice, could be inflicted in so many different ways. And I think [00:11:00] any approach which like models this distribution and. And flow matching is one, one of the take.It's not the only one at all, but it's a one which works pretty reasonably well. I think that's better. So you have to pick across several different, the intuition I have is it's, there are some, several different clusters each corresponding to some specific way you would inflict, pronounce that thing.And you can't predict the mean of it because that corresponds to some blurred out speech or something like that. But you have to pick one. And then like sharpswyx: conditional inference.Pavan: Yeah, exactly.swyx: Is that all covered under disfluencies, which is I think the normal term of art. Pauses intonations. By the way, I have to thank Sophia for setting all this up, including like some of these really good notes becausePavan: Yeah.swyx: I'm less familiar with the audios for me.Pavan: No. I think dis dismisses are definitely one such Eno defenses is more likeswyx: which is arms are.Pavan: Yeah, arms. And also repeat like you like,swyx: yeah.Pavan: You do this full of words, your thinking, so you repeat the word.swyx: Okay. Whereas intonation is like a diff, it's up up [00:12:00] speak and all this.Okay.Pavan: Yeah. So I think there is a lot of like entropy. And modeling it as a distribution. And a, any technique which helps with it and the depth transformer is a conditional way of modeling this. And Transformers actually really good at it, even though that's a mini transformers. So I think that worked pretty well too for us too.It's just that the main concentration is when you have a depth transformer. If you have K tokens, you need to do K auto steps, right? Even though it's a small thing, it's K steps, which is very vacant, say heavy, but flow matching. We were able to cut it down significantly. So we are able to do the inference in quad steps or 16 steps and it works pretty well.And there are more normal techniques to bring it down even further to like, in extreme case, one step like we're not doing it yet, but it at least the framework, LEDs itself to more efficient and Yes.swyx: And the image guys have done.Pavan: Yeah.swyx: Incredible work guys. Yeah.Pavan: It now you just. Send a prompt and you get an image.swyx: Yeah. Surprisingly not enough. I think image model labs use those techniques in production. I think it's, I feel like it's a lot of research demos, but [00:13:00] nothing I can use on my phone today.Guillaume: The thing, there's a thing that would be interesting here is that since, indeed I've been so much sure that has been done in the vision community compared to radio dys, stomach, I think there are so many long infra Yeah.And there are so many things we can do to actually improve this further. So it's our first version, but we have so many ways to exist, much better and much more efficient, cost efficient, soswyx: yeah.Guillaume: So really it's not a new field at all, of course, but there are still so many things that can be done.Perfect. It'sswyx: nice. I should also mention for those who are newer to flow matching, I think the creator, this guy's name is Alex, he's done I think in Europe's maybe two Europes as ago. There was, there's a very good workshop. There's one hour on like this matching is I would recommend people look that up.That's the other thing, right?Efficiency and Model Strategyswyx: The efficiency wise, like I, I imagine like the reason is open weights the reason you pick 3.6 B backbone it you are 3.4 B you are, try to fit to some kinda hardware constraints. You kinda fits some kinda basic constraints. What are they?Guillaume: Not necessarily, I think something we care about in our model that they're efficient.So we have a [00:14:00] lot of separate model, for instance. So we have this that is very small, very efficient. We also have a small OCR model that is available. Good, highly efficient as well. And I think on a project maybe there, I think companies are going to take is to have a coverage general model that will do a bit of everything.But that is also going to be expensive. On here. What want say is if you care about this specific use case, if you can actually use this model, it just does that. It's extremely good at it. Survey, very efficient. That's why we can actually add. We do, but also OCR that are like really good at that.And that would be much more cost effective factors and the general model that will contain a lot of capabilities you don't really need. So yeah. So we're doing like general model, but also like more customized model. This,Open Weights and BenchmarksVibhu: how does it compare to other TTS models? It's, we are going follow open wave.We're just dropping it. I think it's pretty good.Pavan: Yeah, I think it's pretty good. Like it, it's definitely one of the best. For sure. It's probably I would say it's the best open source model, butVibhu: decipher themselves.swyx: Yeah.Voice Agents VisionVibhu: Why now? How does it fit into broader ral vision? How do you see voice agents?How do you see voice? I think every year I've heard, okay, you're a [00:15:00] voice. You're a voice. There's a lot of architectural stuff. There's a lot of end time that see it, your solving, but where do you see voice setting?Guillaume: We had so many customers asking for voice. That's also why we wanted to build it.What's interesting in this domain is that. In a sense, if you take something simple like transcription it doesn't seem like something that should be very hard to do for a model. It's essentially, it's pattern recognition. It's classification on this. Models are very good at classifying, right?Or nonetheless, when you talk to them it's not there yet, right? It's not, you don't talk to them the same way you talk to a person. On something, maybe people don't realize it. It's in English it's still much better than in any user language, even compared to French instance. If you talk to this million in French, when you see people talking to this they'll talk very slow.They'll articulate as much as they can. So it's not natural, right? We're not yet to this. And I think, yeah, maybe the next generation will not know this, but yeah, I think people that. But our edge will actually always keep this bias speaking very slowly when they talk to this model. Even if maybe, probably in a couple of years, maybe next year it'll not be necessary anymore.But yeah. But what's interesting is to see that yeah, even for like languages [00:16:00] like yeah, French and Spanish Germans that are not no, no resource on religion. You have a lot of audios there on still it's not as good. And I think a consequence. Because then for this, I suppose just is not as much energy, as much effort that has been put done in some other mod that for some vision or like coding.But but yeah, there's still a lot of progress to be done. I think it's just a question of doing the work and it's clear path I think to get there.Pavan: It's a little fascinating because I worked on Google Assistant I think while back at this point, but it's, I think it's, it like when you take a step back, it's fascinating.It's not that long ago. It was like four years ago or five years ago, and it's now it's completely audio in, audio out and the function calling and the whole thing happens completely end to end. And in a very natural,swyx: yeah,Pavan: natural way and still ways to go. Kim was telling, even despite all the previous, it's not like you're speaking to a person.When you talk to any of these agents, bots, or voice mode kind of situation, it's still like a gap. I think that's the great part and I feel like with even the existing [00:17:00] stack, we should be able to get to this very natural speech conversational abilities soon enough I guess.And we'll also hope. I get thatGuillaume: on this kind of the next step, right? Because when you talk to these agents, like usually people are just writing to them and sometimes they'll this very clear, for instance, you are, you want to write code, but you are, you have a very clear idea of how you want the model to implement what you in mind.But so here you are able to spend a lot of time writing. So it's not really efficient on audio is really like a natural interface that is just not there yet, but I think it's just gonna be the place.Vibhu: How's it like building, serving, inferencing, like we see a lot about, it's very easy to take LMS off the shelf, serve them.Fine tuning, deploying. I know you guys have a whole you have Ford, you have a whole stack of customizing, deploying. Is there a lag in getting that. Like distribution channel. Are you helping? There is. So like prompting, lms, you can have them be concise, verbose, all that.They're built on LM backbones, these models. How do you see all that?Enterprise Deployment and PrivacyGuillaume: Yeah, I think this is a lot of what we're doing with our own customers. Very [00:18:00] often they come to us, so it's for different reasons. I think one reason is sometimes they have this lot of privacy concerns.They have this data that it's very sensitive. They don't want data to leave. The companies, they wanted to stay. Inside the company. So we have them deploy model in-house. So either on a, either on premise or on private cloud. So they're not worried that it's given to a third party on the there some leakage.Sometimes they have this kind of many companies have this different, sensitivity of data they have like sometimes channel chat can send it to the cloud has to stay there. So then it creates some kind of heterogeneous workflows where it's annoying. You cannot send some data to the cloud.This one you can, so here, when we actually deploy the model for them, they don't have this consideration. They are like not worried that, this is going to leak. Everything is much easier. So we help them basically do this on the, so it's one of the very proposition. But but the other is very often, when customers use this off the shelf close model, but very sad is that they are not leveraging, these data that have been collecting for four years or something for decades.So much data. Sometimes it's trillions of tokens of [00:19:00] data in a very specific domain. Their domain, which is data that you'll not find in the public, on the public internet. So data on which, like close model, we actually not have access to one, which that's going to be really good. So if they're using like closed source models are basically not benefiting from all these insights.All these data they have collected three years, they can always give it into the context that in France, but is never as good as if you actually train the modern analysis. So yes, that's basically what we help them to do. We actually provide them some purchase, basically what we announced at GTC this week.So we provide them with this, it's basically like a platform with a lot of tools to actually help them process data. Trained on that. Yeah, it's actually the same thing that we're using in the science team. So it's actually very better tested infrastructure, like a lot of efficient training cut base.For a quality pre-training like a fine tuning, even doing S-F-T-I-L. So we help them do this using the same tools as what our science team is building is using. So since it's tools that we've been using for two years now, it's really better tested. It's really sophisticated.So it's the same thing. We are giving to them, giving the company the same thing [00:20:00] that what are same still using internally actually build their own ai and it makes a really big difference. I think sometimes customers. And many in general don't realize how much better the model becomes when you fine tune it on your own data.And you can have a, your model is here. You start from there. You have a cross source model, which is sort here, but if you actually fine tune it can actually really go much further than this. And then you have a very big advantage. The model is trained on your entire company knowledge, so it knows everything.You don't have to feed like 10 K tokens of contact at every query. So it's it's much easier. It's a bit, I think using a closed source model is really sad because it basically puts. You are not leveraging all this data and you are going to be using the same model as all your old competitors when you're actually using, everything you have been collected for years, which is really valuable.So yeah. So we help basically customers do this. We have a lot of solution I mean deployed for engineers that go in the company that basically look at the problem customers are facing to look at what they're struggling to do what we should do to solve it. So we help them solve them together.So it's I think our approach is a bit different, but here. [00:21:00] Some of their companies and competitors, it's, we don't just release an endpoint on sale, do some stuff on top of that, or we don't just give a checkpoint. We really look very closely with customers. We look at the issues they have, we had them solve them.We really make some tailored solution for the client are facing. Some example are also going to be, sometime we have some customers. They really wanted to have a really good model, really performance on some, like Asian languages on the, if you take some of the shelf models, they can speak it, they can write in this language, but it's not amazing.This language would be like maybe zero 1% of the mixture. So it has been included during training, but very little. So what we did here is upgrade. We trained a new model for them, but so this language was 50% of the mix, so it's much, much stronger. It knows of the dialects, it knows the, so it's yeah.So it's some example of things we can do and it's really arbitrary, custom. I think you had some of their customers, for instance, they wanted some. They wanted some 3D model that can do audio with a very good function cable. So something you wanted to put in the car in particular, they wanted this to be offline because in a car you don't necessarily have access to internet.So [00:22:00] yeah. So here we can actually build the solutions. There is no like model out of the box on this. In the internet you have this very, you have this very general model generalist, like he's strong model. But for things like this, they always want at specific solutions and on some other reasons.Sometimes they come to us is because, like they, they experiment with some closed source model. They get some prototype. They're happy with what they build. They, it works well. They're happy with the performance, and then they want to go to production and then they analyze. But it's extremely expensive.You cannot push this. It's so then they come back to us on this. They can help us build the same thing as this, but using something much cheaper on here. And here we can sometime be something 10 x cheaper by just functioning a model and it'll be better OnPrem on their old server and also much cheaper as well.So yeah,swyx: that's the drop pitch right there. Take all themoney.Vibhu: And outside of that you do, we do put open wave models so people can do this themselves. I feel like not enough people go outta their way.swyx: They're not going to, they're gonna ask them to do it as the expert. IGuillaume: think initially we didn't know, [00:23:00] we wanted completely short at the beginning of the company because, I think our study was not exactly the same as what it is today, but what we underestimated initially is the complexity of deploying this model and connecting them to everything to be sure it has access to the company knowledge on the, and it was, yeah, on, we were seeing customers struggling with this, but it was even, that was three years ago and no, things are much more complicated because now you don't just have, text on SFT on a simple instruction following.You have reasoning like your agents, you have like tools. You have a multimodal audio, so it's much more complicated than before. And even back then it was hard for customers. So they really need, have some support and this is why actually providing like always some four D position as well. The processFine Tuning and Personalizationswyx: I'm curious is there also voice fine tuning that people do?Pavan: So in this forge we also have a say unified framework. And the hope is like the er speech to text that we released earlier this year. And even the ER chart that we released last year. And I think a big people, I think there's a big, rich ecosystem [00:24:00] of people fine tuning whisper, and people want the same thing with w so it's much stronger than Whisper.And yeah, the the platform offers that kind of fine tuning yeah, which could be any kind of fine tuning. Like for instance, even sometimes people want to support new languages to this, which are tail languages, which we hope to cover. Certain natively, but if there is a language where you data and you want to frank you, I think this is a good use case.Or the other use cases, you, it's the same language, like even English but it's in a very domain specific way.swyx: Yeah. Terminology, jargon, medical stuff.Pavan: Exactly. And also there's specific acoustic conditions like there's a lot of noise or the, and. The model will do decently in most conditions, but you can always make it better.And that those are some of the use cases where you can improve it e even further. And that's one good use case for this and for text to speech. We're just releasing it so we'll have support for that soon too. I think it's similar use case.Voice Personalization Pavan: It's little different the kind of things that you want to extend a [00:25:00] text to speech model to, which could be like voice personalization, voice adaptation for enterprises.Many enterprises need very specific kind of tone, very specific kind of like personality for this kind of voice. And all of those are like good use cases for fine tuning.swyx: This one I was gonna ask you, we never talked about cloning voice clothing here. How important is it, right?Like I can clone a famous person's voice. Okay. ButPavan: the main use case would be like for enterprise personalization, like enterprises need like a lot of customization. You don't want the same. Voice for all the enterprises. Each enterprise want a customized, specialized something which is representative both their brand and also their, I guess safety considerations and the use case I think the kind of thing that you would deploy as a empathetic assistant in the context of a healthcare domain would be very different from the kind of thing that would be in a customer support bot and would be different from like more conversational aspects.I think those are the. [00:26:00] Customizations you would expect from enterprise. And that's the main use case, at least from our side.Vibhu: My, my basic example is you don't want to call to customer services and have the same exact voice. It's just, it's gonna be weird.Long-Form Speech ModelsLong-Form Speech ModelsVibhu: But also on the technical side of this, so there's like a few things in TRO that I thought were pretty interesting.He's a big fan of this paper. Oh, he said very good paper. He said this is the best SR paper he's ever read. Yeah. I've hyped up this voice paper enough. We covered it. Somewhere, but a big thing. So Whisper is known for 32nd generation a 32nd processing. You extended this to 40 minutes. There was a lot of good detail in the paper about how this was done.Even little niches of how the padding is. So it's very much needed. You need to have that padding in there, the synthetic data generation around this. I'm wondering if you can share the same about the new speech to text, right? Text to speech. So how do you. How do you generate long form, coherent?How do you generate, how do you do that? And then any gems? Is there gonna be a paper?Pavan: Yeah. Yeah. They would be a technical report. Okay. Yeah. I think I could have a lot of details.Real-Time Encoder AdvancesPavan: But me I think the [00:27:00] summary of it, actually, some of the considerations in this paper were, because we started with the wipa encoder as the starting point, and now we have in-house encoders, like the bigger time model, for instance, which we released in January.Also release a technical report for that real time model as well, which is this dual stream architecture. It's an interesting architecture. You should check it out. And there we have a causal encoder and I don't think there's any strong, multilingual causal encoder out in the community. So we thought it's a good contribution.So that's one nice encoder there. Other people want to adapt. That's a good end code. And we train it from scratch. I think her. Post stack is now mature enough that we are able to train super strong ENC codes. And some of these considerations, like spatting and stuff, is a function of the Whisper ENC code.And now that we train encoders, inhouse the design concentrations are different.Scaling Context for TTSPavan: And for the question on text to speech, I think that's also leans onto the original auto aggressive decoder backbone. I think, it says very, almost identical considerations. I think the long context in it's not even long con, [00:28:00] so the model processes audio at 12.5 herds, so one second maps to like 12.5 tokens.So I think one minute is like 7.8 tokens. You can get like up to 10 minutes in eight K context window and get half an hour and 30 K context window. So that's and 30 2K context is something that's we are very comfortable training on. We can extend it even much longer. 1 48 K. Okay. You can naturally see how it can extend to even our long generations.Yeah. We need the. Like data recipe and the whole algorithm to work coherently enough through such long context. But the techniques are some way very similar to the text, long context modeling. And the key differences, it's just doing flow matching order regressively instead of a text open prediction.swyx: Okay. I think that was most, most of the sort of voice questions that we had. ButWhat Makes a Model SmallVibhu: I have a big question on Mr. Al, Mr. Small. So what is small? How do we define [00:29:00] small? What is this? What is this? I remember the days of Misal seven B on my laptop. The snuff fitting on my laptop. I could run it on the big laptop, butGuillaume: it's just additional.Question of terminology, like here what we did, baseball is north active parameters, but it's true. Really not give it another name, but yeah, we could have called it medium, but only, I,I suppose it's a model that we released mixture of experts. It's a model that combines different model before which we were doing the same, is that we had one model, general model for Israel. Doing instruction following, were like a separate model that was Devrel trial. So qu coding specify specific to code with another model for Reason Maal.So this were separate artifacts built by different team at trial on what we're doing is basically merging all of this. It was, you had pixel trial was the first vision model. We was like a separate model on the way we do things internally is that we have one team focus on one capability, build one model.On the means mature, mature enough, we decide to merge this into the [00:30:00] matrix. But here it was the first time we basically match all of this into one. But there are some other things we did at first time to merge time, for instance, like more capabilities or function coding I think would be, are, it's going to be much, much better in this trial, small platform.But but yeah, so it's our latest model on the working is,Vibhu: and yeah, key things is it's very sparse. Six, be active pretty efficient to serve. 2 56 K context. Yeah,Merging Capabilities vs Specialistsswyx: I think what's interesting is just this general theory of developing individual capabilities in different teams and then merging them.Where is this going gonna end up?Vibhu: Like we've seen the five things put together in this. Yeah. What are the next five teams?swyx: I think actually OpenAI has gone away from the original four Oh. Vision of the Omni model. This was what they were selling. All modalities and all modalities out.But I feel like you might do it.Guillaume: I think there's some mod where it's not competitive use, for instance for audio. For audio here, if you want to do transcription, I think it makes no sense to use a model. If you just want to trans tech it, it'll be very inefficient. If you want to do audio, you probably just want to be the [00:31:00] one VR 3D model performance essentiallyswyx: the same.It's going to be incredibly cheaper. So here, that's why we wantGuillaume: to have a separate but just does this. Yeah, I think the question is just, yeah. If you are to, to your model. By speech and you asking like a very complex questions on how you do this on the, just to cascade things. Do you want to put a d in a model that has like a one key around it?It's like a, not a competitive discussion, I think unaware if you doing into the direction, but that's possible. Of course. But yeah. But I think for us, the next capabilities we want to try to integrate into these models when we are going to be yes, like marketing or no reasoning better, I think more capabilities that people don't talk too much about, but at high bottom, I think for our customers in our, on different industries, for instance, things are around like a legal computer.I design all these things that is this males out of the box are to put at that. Because people, if you don't prioritize this, there is not like too benchmark on that. Butswyx: this done how toGuillaume: make this good and this just start to do the work. Extracting some that processing it [00:32:00] expression. So yeah.But we are offering the imagine to this.swyx: I think for voice. Yeah. The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right? Which people don't understand spatial audio because like most TTS is just oh, I'm speaking to a microphone in perfect studio quality.But when you have video, like the voice moves around.Pavan: That's true. The constitution was a little different in the sense that there it's like a a standalone artifact where you get the whole thing and you consume it. But in a conversational setting, it's a, you need the extreme low latency.swyx: Yeah,Pavan: streaming would be one of the primary concentrations.swyx: You can build a giant company just doing that, right? So you don't need to do the voice, but I was just know on the theme of merging modalities, that is something I, I am like, wow. Like I didn't, everyone up till, let's say mid last year was just doing these like pipelines of okay, we'll stitch a TTS model with a voice thing and a lip sync [00:33:00] thing and what have you.Nope. Just giant model. Yeah.Open Source MissionVibhu: I have a two part question. So one is, it's still open. It seems like open source is still very core to what you guys do and I just have to plug your paper. Jan 2024. This is the one trial of experts like. Very fundamental research on how to do good.Moes paper comes out very good paper for anyone. That's just side tangent. No.swyx: This thing caused, we bring back, eight by 22 was like the nuclear bomb for open source. I think it takes Shouldn be more seven B more. Yeah. Yeah. But this is a bigger opposite than me.Yeah. Yeah I don't remember this. I remember, I don't think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think. Yeah. The model was did as well.Vibhu: It's just a little update probably.swyx: Yeah. No, but you have a point to make.Vibhu: No, you gotta check that. But then, I just want to hear more broadly on open source for you guys, and when you had asked earlier [00:34:00] about what's next, what are the other, side tapes working on you. You put out Lean straw. This,swyx: it's not necessarily surprise. I was like, I don't, this doesn't fit my mental model or Misra.Guillaume: Yeah. First for open source in general, I think it's really something which looks to the January of the company. I think we started it per once, is we so we have open sourcing with, since the beginning and even before this. So before this, so me and Tim were at Meta, we released LA and I think what was really nice.To see that before this, for most researchers like universities, it was impossible to work on elements. There was no alien outside. And if you look at many of the techniques that were developed after, for instance, was open source all this post-training approaches like even DPOD, like preference optimization, all of this were done by people that had access to this portal.And it'll have been impossible to do without this. So it's really making sense, move faster. So we really want to contribute to this ecosystem. I think like the deep and also like very lot of impact. All these papers that are I think in the open source community are really helping the science community as a whole to move faster.So [00:35:00] we want contribute to this ecosystem. That's why we're releasing very detailed technical reports. So ma trial and our first reason model, and ation, lot of results, things that work, things that did not work as well. Think helpful on the, yeah, so for the audio model also to share a lot of details, share of them for real time model.And the, yeah, so we really want to continue this, basically belong to this community of people who share science. I think we really don't want to be, leading in a world where the smartest model, the best models are only behind, close doors. Only accessible to a shoe companies that we, as a power to decide we can use them on it.I think it's a scary future. We don't want to live in, we really want this model to be accessible to anyone that want. Intelligence to be used unaccessible by anyone who can use it. So yeah, so that's why we are pushing this mission and source model. Yeah. So not, so yeah, no strategy. So it's open source, not the first model, so not the best on the Yeah.Lean and Formal ProofsGuillaume: LIN trial I think is also one step into this direction. So it's yeah, a bit different than what we are usually releasing. But we have a small team internally [00:36:00] working on them. Formal proofing, formal math. So I think a subject we care about in general and we were working on reasoning. I think we started too early before doing reasoning without LMD is very hard, especially when you work with formal systems because the amount of data you have is negligible.It's addressable community of people writing like formal proofs. But the reason why we like it is because I think there is if you look at what people are doing with reasoning, is there, the problems that you can use. Are usually going to be problems where you can verify the output. So for instance, all this ai ME problem where the solution is a number between 100, like a thousand.So you can verify, compare this with a reference or it's an expression. You can actually compare the output expression generic with the reference. But there are many, most of them have problem and most of the reason problem. There is no like way to easily verify the solution. If the question is show that F is continuous, cannot compare in the reference, right?If it's a probe that this is true or probes is properties, there is no way to. You cannot act, simply verify the correctness of your proof. So it's hard to apply the, there is no referable reward here. So [00:37:00] what you could provide is of course, like a judge and judge that will look at your proof. But it's very hard and it's very, you could do certain, some reward hacking happening there.So it's difficult. You could provide like a reference proof, but then there are also many ways to prove the same thing. So if the model says give negative reward because it's a different poop, maybe it was still digit proof, just different. So it's not going to work well. What's nice with lean and with formal probing is that you don't have to worry about this whatsoever.We just,swyx: they're all function is largely compiles in lean is functionally the same. Exactly.Guillaume: It's like a problem if it compiles it's correct. It's very easy. And you can apply this and then you can,swyx: it's just way too small. So no human will actually go and do it.Guillaume: Yeah, that's exactly.It's the only people can do it. It's like a very small committee of people doing a PhD on that. So it's super small. And it's sad because it's actually very useful on not just mat, but also in software verification. So for instance, software verification today. So tiny market. Very few industries work on this and we need that.It's usually going to be like companies like building airplanes, air robotics,swyx: likeGuillaume: things [00:38:00] where they absolutely want to be sure. Life depend on this, but it's very rare that people formally verify the correctness of their software. But I think one of the reasons for this is simply that it's just hard to do.swyx: Are you think of TLA plus? It's the language that some people do for software verification? No. That people use in a ference, but but yeah, it's the reason I think why people don't use it more and why this industry is not as big as could be is because it's very hard. But now with cutting edges that are there, it's going to be very different.Guillaume: We're going to see much more of this. So I think yes, industry there is going to be much larger in the future that we, these models. So yeah. Here also anticipating this a little bit, we wanted to work on that because it's proving like a math theory and like a, essentially the same tools.swyx: Yeah.Reasoning Transfer and Agentsswyx: One of my theories is that because the proofs takes so long, it's actually just a proxy for long horizon reasoning and coherence and planning. Maybe a lot of people will say okay, it's for people who like math. It's for being okay. It's like a niche math language. Who cares? But actually, and you use this as part of your data mixture for [00:39:00] post-training and reasoning, actually, it might spike everywhere else.Yeah. And I think that's un under explored or no one's like really put out a definitive paper on how this generalizes.Guillaume: Yeah, absolutely. AndPavan: I think evenGuillaume: that's what we're seeing already. For instance, you should do some reasoning on math as then the American should do reason even.Yeah. In the early stage. So we, the, there is some transfer, some sort of emergence that happens. And I think some, it's also interesting, it's not just I think the topic in general, but it's, there is a lot of connection with this on including agents because. Sometimes the model can see like a three that it has to prove it's very complex, but then it can take the initiative to say, I'm going to prove this three lr.I'm going to suggest three Rs, and I'm going to in parallel prove each R. So three of them in parallel with sub agents, but I'm also going to prove them in theory and the three tool so you can do this also. Pretty interesting. You can, even if you fail to put one of the LeMar, you can actually, maybe you succeed to put the normal lema too, so you get some possible reward here.So it's a bit less Spartan issue, just get to zero one for the entire thing. [00:40:00] So it's pretty interesting. I think we can actually,Vibhu: yeah, it's also an interesting case just for specialized models in general, right? Like the cost thing you show is pretty interesting yeah, similar score wise, you are, thirty, seventy, a hundred fifty, three hundred bucks.Smaller.swyx: I think cost is a bit unfair, right? ‘cause this one is at like inference cost. It's always there on top with their margins on top of it. But, we don't know anything else, so we gotta figure it out.Vibhu: Okay.Next Frontiers in TrainingVibhu: I did wanna actually push on that more. Not on cost, but you mentioned about, okay, it's a great way to have verifiable long context reasoning.What are other frontiers that, I'm sure you guys are working on internally, there's a lot of push of people pushing back on pre-training. Scaling, RL pushing, compute towards having more than half of your training budget. All on rl. Where are you guys seeing the frontier of research in that?Guillaume: You mean theVibhu: just in foundation model training in the next, one thing that you guys do actually is you do fundamental research from the ground up, right? So you probably have a really good look at where you can [00:41:00] forecast this out.Guillaume: Yeah. I think for us we're still working a lot on the pre-training side.I think we are very far from situational, the pre-training. I think ML four preprinting will be like big step compared to everything we have done before. So we are pretty excited about this. And I think on the other side, I think now we have more and more to think about this algorithm that will actually support this very long trajectories.I think when it was, for instance, GRPO for it doesn't really work this any bit of policy. Which was okay initially because you are solving math problem that can be solved in like a few thousand tokens. So the model can alize them pretty quickly. So when you do your update, the model is never too far off.It's never too far off. But now when you are moving towards this kind of problems where certain takes hours, like six hours to get a reward, then your model is co pick places. So you have bi new infrastructure that supports this, but also new A, so now everything we're doing internally, we're trying to. Build some infra that we actually anticipate is what we have in six months, one now, which is this extremely no scenarios on the, I think when we started Missal, part of me and [00:42:00] we wanted to, is very nice under element where people are there, they can do research, they like with a lot of resources.So it was nice. I think things changed a lot when I think when J Pity came out. I think after that I think was. This one is same again. But but yeah, but it was nice. And I think we also want to work part of this descrip beforeswyx: coming to the end.Hiring and Team Footprintswyx: We're just, obviously, I think you guys are doing incredible work.You've, they are a very impressive vision for open source and for voice. What are you hiring for? What's the what are you looking for that you are trying to join the company?Guillaume: Yeah, so we are hiring a lot of people in our sense team. We're hiring, in all our offices. So we have a, our H two is in France in Paris.We have a small team in London. We like a team in Pato as well. Co we open some offices in in SAU, in Poland. So one in Zurich. We also like some presence in New York as well on Sooner one in San Francisco. So we all bit either way also like hiring remotely. So we're going the team trying to hire like very strong people.I think we want to stay, so the team is not. Instead of fairly small team. [00:43:00] But I think we want to keep it that way. ‘Cause we we find it quite efficient. So like a small team they agile so yeah.swyx: Okay.AI for Science Partnershipsswyx: Let's focus on science and the forward deployed. We actually are strong believers in science.We started the our new science pod that focuses specifically on the air for science. What areas do you think are the most promis.Guillaume: What we're pretty excited about right now, and something we have already started doing or that we'd probably be able to share more about this in a couple of months, is that we are exploring AI for science.And there are a lot of areas where we think that you could get some extremely promising buzz. If you were to apply AI in these domains. There are a lot of long inputs. You just have to find these domains where actually AI has not been yet applied, and it's usually hard to do because the people working in those domains don't necessarily know the capability of these models.They don't know. How I would just have to pair them with Yeah, exactly. Your researcher slashing, which is actually hard to do. But this matching, we're doing it naturally with our customers. So we have some company we are very closely with. So for instance, ISM Andreesen are one of our partners, so we're doing some research with them on their other, like tons of extremely interesting problems.Columns in physics, in [00:44:00] science matter science that they're essentially the only ones to work on. ‘cause they're doing something No, no one else is doing on the, yeah. So there are many domains where AI can actually revolutionize things. Just you have to think about it on you familiar with what can do or to apply it.So yeah, it's something where more modeling with our partners, with our customers sort AI for s, but.swyx: Yeah. Okay.Forward Deployed Skillsswyx: And then for deployed what it makes a good four deployed engineer, what do they need? Where do people fail?Guillaume: I think it's usually you need people that are very familiar with the tech and not necessarily with a lot of research expertise, but that are actually pretty good at using this model that can actually like that know how to do functioning, that know how to like, start some error pipeline.And it's it's not easy. It's something that mucus. Majority of companies will not be able to do this on their own. So here I think we need people that are, that like to solve problems that are accept solving some complex, very concrete problem. It's applied science basically.And yeah, so I think it's not too different. I think from the case you need in research because it's essentially you are trying to find solutions to problems that in [00:45:00] customers have not yet. So sometimes it's easy. Sometimes you're here to do the work. You have to like create synthetic data.Find some edge case. So it can be, yeah. Depends on the problem. But but yeah, you have to, I think it also a bit of patience on the be creative. I think very similar skill is Asian,Pavan: the diversity of the work they do. It always surprises me. It's it's, it goes all the way from the kind of stuff they encounter in industries.It's just very interesting. I think.swyx: Any fun like success anecdotes.Guillaume: Yeah, it can be actually training this small model on edge that just we do one specific thing can be like training some very large model without some specific languages as well. Making models really good at some tube use, like for instance, computer ID design, these kind of things.Is that pairing with vision as well? Yeah,Pavan: and the fact detection for chips or like in, in factories identifying things like it, the. Diversity could be anything where you can deploy these foundation models. So yeah the work to make it work in that specific setting, basically whatever it takes to make it like add value in that, by the way, workflow.Vibhu: Yeah. [00:46:00] And it goes across the stack, right? Like even just pulling up the website like.swyx: It's so broad on compute. It is so broad.Vibhu: We didn't even touch on if you have a coding CLI tool. One thing you guys were actually like, I think the first tool was agents, ral agents. You had the agent builder, you can serve it via API and all that.And I'm guessing forward deploy people.Guillaume: Yeah.Vibhu: Help build that out and stuff.Customer Feedback LoopGuillaume: It is also why we are, so we're doing many things, but I think that's also part of the value proposition that sometime know customers. They're always very. Extremely careful about their data and they don't want to, they don't like, trusting so many partners, trusting one partner for code, giving the data to another third party for like audios and another one.So they don't like this here. What they really like with our approach that we can help them on anything so they don't have to send the data to so many clouds. So yeah,swyx: I think that there can be many orders of magnitude more. F Ds then research scientists and they don't need your full experience, but they're still super variable to customersGuillaume: in practice.These two teams [00:47:00] are still quite intertwine, very often. Yeah. So first of all, they're using the same tools, the same data pipeline and everything on the, it's it's very helpful for the science team to get the feedback and the solution team ‘cause they can. Look at these customers are trying to do this.This is not working. It can really be show in the next version. Yeah. But this is basically a real world eval. Yeah, it's real world eval and it's not something, for instance, if you're just working in the lab, it's just ships model. But you don't do this work of for customers. You have no idea for whether your model is good at this H case.For instance, you even in year found this, right? So yeah, there is a very gap, big gap between the public benchmarks that are very like academic. OnPavan: the rare cases are just very diverse and in the specific concept of a customer, you can fine tune and make it like first evaluate, create a solid eval, benchmark, and then measure in the context of their, the kind of audio.Like for instance, one use case is literally just, there's the word for kids and they have to just say it out. It's a very specific thing. You're just saying one word and then you have to you, you'll grade the kid whether they did it right or not. It's [00:48:00] like R for, but so there're very diverse use cases and the idea is that they, the.Applied scientist engineer will go and make it better. And then from the learnings we incorporate it into the base model itself. So it's it's just better out of the box.Vibhu: Yeah. It's a good full circle system. Like the foundation model evals are all just proxies of what you really, you're never gonna have one that says it, it doesn't make sense for there to be, a one word transcription like that.It's not something you wanna fit on. Perfect.Wrap Up and Thanksswyx: Everyone should go check out everything that Michelle has to offer and try the TTS model, which will link in the show notes. But thank you so much for coming tha thanks. Such a stretch. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Let's tuck into the language of food! We discuss advertisements for plant-based food and for meat and dairy, look at cookbooks with our interview guests, and find out how different descriptions of one and the same dish can make it cost more than twice as much in one place than another. Along the way, five people tell us about their work on everything from multilingualism in Korean coffeehouses to the use of foreign languages in early modern English recipes. Liberally sprinkled with metaphors, episode 32 is a feast of all things culinary and linguistic.   The episode is accompanied by a blog - for images, references and a full transcript please visit wordsandactionspodcast.wordpress.com. In the episode, the first of five short clips that we play in this episode is by Keri Matwick, a linguist, educator and food studies scholar at Ninyang Technological University in Singapore. Her mention of chefs' metaphors makes Veronika think of research on wine descriptions, for example this open-access article: Creed, A. (2026). Wine words, cultural worlds: A systematic review of metaphor and language in global wine communication. Terminology. https://doi.org/10.1075/term.25016.cre  The second sound clip, by Michael Chesnut, he mentions this article about coffee shops in South Korea: Curran, N. M., Istad, F., & Chesnut, M. (2025). Standing out and fitting in: Korean coffee entrepreneurs' strategies for survival. Food, Culture & Society, 28(3), 573-592. The Brexit/breakfast confusion is documented in this video, with serious politicians and news presenters providing unintentional humour. As mentioned by the hosts, several recent conferences have addressed the topic of language and food, including Digital P(a)lates on the language of online food practices, which was held in March 2026 at th Fee University Berlin (with Keri Matwick as one of the keynote speakers).  The third clip is by Ursula Kania, and for those of our listeners who read German, we warmly recommend this chapter on lesbian and gay cookbooks: Kania, U. (2017). Warme Mahlzeiten oder: Was is(s)t eine Lesbe? Eine semiosoziologische Analyse schwul-lesbischer Kochbücher. In H. Dingeldein, & E. Gredel (Eds.), Diskurse des Alimentären: Essen und Trinken aus kultur-, literatur- und sprachwissenschaftlicher Perspektive (pp. 229-247). LIT Verlag.   Ursula's contribution is followed by a sound clip by Marco Bagli, who demonstrates just how broad the scope of language and food research is, from Italian food at the courts of Elizabeth I and James I to Italianness as a translingual and multimodal identity in digital food discourse. And there is more on metaphor as well in his 2021 book: Bagli, M. (2021). Tastes We Live by: The linguistic conceptualisation of taste in English. Walter de Gruyter. Still in the introduction, the hosts talk about marketing plant-based foods. For an article on veganism and masculinity, see: Brookes, G., & Chałupnik, M. (2022). 'Real men grill vegetables, not dead animals': Discourse representations of men in an online vegan community. Discourse, Context & Media, 49, 100640. On the plant-based side, Oatley's advert pitting its product against Cowhead, a representative of the dairy industry, can be found here and has been analysed in this article: Ledin, P., & Machin, D. (2020). Replacing actual political activism with ethical shopping: The case of Oatly. Discourse, Context & Media, 34, 100344. The metaphor of language as a window pane is proposed by Guy Cook in this book:  Cook, G. (2004). Genetically Modified Language: The discourse of arguments for GM crops and food. Routledge. This episode's interview guest, Marcelyn Oostendorp, and Erika talk about cookbooks and the cuisine of the Malay quarter of Cape Town. Marcelyn mentions this article by chef Ruby Tamdoh on the proliferation of food memoirs: Tandoh, R. (2017). The meaning of a food memoir. The Guardian, 3 November. https://www.theguardian.com/lifeandstyle/2017/nov/03/ruby-tandoh-the-meaning-of-a-food-memoir  The analysis section focuses on the relation between descriptions and prices of dishes in restaurants. Matt mentions a book on the language of menus, while Veronika refers to earlier research on the literacy requirements for writing and costing menus: Jurafsky, D. (2014). The Language of Food: A linguist reads the menu. WW Norton & Company. Satchwell, C., & Ivanič, R. (2007). The textuality of learning contexts in UK colleges. Pedagogy, Culture & Society, 15(3), 303–316. https://doi-org.ezproxy.lancs.ac.uk/10.1080/14681360701602190  Finally, the parallel between sparse food descriptions and empty spaces in advertising for luxury travel is based on this article: Thurlow, C., & Jaworski, A. (2012). Elite mobilities: The semiotic landscapes of luxury and privilege. Social Semiotics, 22(4), 487-516. And if you're hungry by now - bon appétit!

This is my annual poison prevention episode. The topic this year is The risks and benefits of using medications for opioid use disorder (MOUD) from a Poison Prevention Educator's Point of View. My guests are Angel Bivens, RPh and Dr. Wendy Stephan. This podcast is for educational purposes only and is not medical advice. Please consult a qualified healthcare professional for medical guidance specific to your situation.   Angel Bivens, RPh is the Managing Director at the Maryland Poison Center in Baltimore, Maryland.    Wendy Stephan, PhD is the Educator and Epidemiologist at the Poison Control Center in Miami, Florida. She is also on the Board of Directors of America's Poison Centers, which is the organization that supports all 53 Poison Centers in the United States.   To read the FULL show notes, visit https://www.thepharmacistsvoice.com.  Click the Podcast tab, and select episode 368.   Follow the podcast to get each new episode! Popular links are below.   Apple Podcasts   https://apple.co/42yqXOG  Spotify  https://spoti.fi/3qAk3uY  Amazon/Audible  https://adbl.co/43tM45P YouTube https://bit.ly/43Rnrjt   Links and info from this episode Poison Help Line Number 1-800-222-1222 America's Poison Centers https://poisoncenters.org/  National Poison Prevention Week is March 15-21, 2026. Use the partner toolkit on https://piper.filecamp.com/s/i/OOt8k1JlBFCc08KH Florida Poison Control www.floridapoisoncontrol.org LinkedIn for Wendy: https://www.linkedin.com/in/wendy-s-315b70178/ Email Wendy wstephan@med.miami.edu X (Twitter): @floridapoison https://x.com/FloridaPoison  Instagram @floridapoisoncontrol https://www.instagram.com/floridapoisoncontrol/  Facebook: https://www.facebook.com/FloridasPCC/  Angel Bivens, RPh on LinkedIn https://www.linkedin.com/in/angelbivens/  Maryland Poison Center: https://www.mdpoison.com/  To find your local poison center: https://poisoncenters.org/  Poison Prevention Press: https://www.mdpoison.com/families/pppress.html (One-page, plain language e-newsletter published every other month on varying topics; all current and previous issues available Poison Prevention Press sign up: http://bit.ly/MPCSignUp) eAntidote Blog: blog.mdpoison.com  Facebook: MarylandPoisonCenter https://www.facebook.com/MarylandPoisonCenter  X (Twitter): @MDPoisonCtr https://x.com/MDPoisonCtr X (Twitter): @MPCToxtidbits https://x.com/MPCToxtidbits  Instagram: @MDPoisonCenter https://www.instagram.com/mdpoisoncenter/  YouTube: Maryland Poison Center https://www.youtube.com/@marylandpoisoncenter/videos  Resources with clinical information for pharmacists: ToxTidbits:  http://bit.ly/ToxTidbits (One-page clinical e-newsletter published monthly on various toxicologic topics; all current and previous issues available ToxTidbits sign up: http://bit.ly/TTBSignUp)   Other Poison Prevention Episodes The Pharmacist's Voice Podcast Episode 27 featuring Dr. Wendy Stephan (July 2020) The Pharmacist's Voice Podcast Episode 87 featuring Angel Bivens (March 2021) The Pharmacist's Voice Podcast Episode 141 featuring Angel Bivens (March 2022) The Pharmacist's Voice Podcast Episodes 203, 204, 205, 206, and 207 (March 2023) The Pharmacist's Voice Podcast Episode 268 featuring Wendy and Angel (March 2024) The Pharmacist's Voice Podcast Episode 321 featuring Wendy and Angel (March 2025)    Take-away messages from Episode 368 in March 2026: Overdose deaths declined between 2023 and 2024.  More than 23 million people are in recovery or have recovered from SUD.  Stigma associated with recovery needs to decline as the number of people in recovery increases. Recovery is possible, and it's probable. Poison Prevention Educators talk to students and communities about substance abuse prevention. Opioid use disorder has many possible entry points, including using pain killers from surgery or dental work, experimentation, and accidental use. Pharmacists have the opportunity to counsel on proper use and storage of MOUD. Counsel to take oral doses in private, so vulnerable individuals cannot see. Vulnerable individuals, like children or DD adults want to imitate the behavior of others. Avoid medication errors. Remove distractions while taking or giving medications, and read the label every time. Keep a personal MAR, if needed, to remember if a dose has been taken.  If a medication error happens, get help (Poison Help or 9-1-1), forgive yourself, and continue your road to recovery.  Narcan is import for anyone in recovery from opioid addiction to have. But, a person experiencing an OD will be unable to give themselves Narcan. Make sure your patients educate the people around them about what Narcan is, when to use it, and how to administer it.  As a general rule, counsel on calling 9-1-1 after giving a dose of Narcan. It can wear off.  Pharmacists should counsel on risks of keeping MOUD in the home: accidental use by a curious, opioid-naive child, confusion with other meds, accidental second dose, etc. Call Poison Help right away with exposure concerns, but skip right to 9-1-1 if the person is not breathing, unconscious, or having a seizure.  Poison Center Staff are experts in poison information. They help healthcare professionals and the general public with questions. If you call, you're in good hands. Adults of all ages may be in recovery. It's not just a health condition for young people.  Get Poison Help Line magnets for your pharmacy, and share them with your patients. If you need some magnets, call 1-800-222-1222.  March is Poison Prevention Month in the United States. National Poison Prevention Week in the US is March 15-21, 2026, and the theme is, "When the unexpected happens, Poison Help is here for you." There is a partner toolkit with images and talking points on https://piper.filecamp.com/s/i/OOt8k1JlBFCc08KH  A complete health history is important. Ask about recovery. Include "in recovery from opioid addiction" as a health condition at the pharmacy and with medical providers.  Advise patients to inscribe, "Do not give opioids" on medic alert jewelry. Similar advice, advise patient to include "do not give opioids" in the "health app" on their smartphone in case of emergency. Pharmacists (this is a tough one). If you see something, say something. Protect your patient's recovery. If something on your prescription monitoring program suggests that your patient is in recovery, but they are trying to fill prescriptions for opioids, protect their recovery. Maybe a well-meaning dentist, doctor, or surgeon wrote a prescription and didn't know the whole story. Or, maybe your patient wants to relapse. If you see something, say something, even if it feels awkward. Prevent relapses and maybe overdoses with patients who have a lower tolerance for opioids.  Be skeptical of natural products and supplements that have been promised to help with opioid withdrawal.  Terminology matters. Know your audience, and reflect their preferred language back to them. Avoid terms that are stigmatizing, like "junkie." When in doubt, ask the person you're speaking with how they prefer to call themselves.    Kim's websites and social media links: ✅ Guest Application Form (The Pharmacist's Voice Podcast) https://bit.ly/41iGogX  ✅ Monthly email newsletter sign-up link https://bit.ly/3AHJIaF  ✅ LinkedIn Newsletter https://bit.ly/40VmV5B ✅ Business website https://www.thepharmacistsvoice.com ✅ The Pharmacist's Voice ® Podcast https://www.thepharmacistsvoice.com/podcast ✅ Pronounce Drug Names Like a Pro © Online Course https://www.kimnewlove.com  ✅ Pharmacist Podcaster Book https://amzn.to/4iAKNBs  ✅ Podcasting Online Course https://www.kimnewlove.com/podcasting  ✅ Private Podcasting Coaching or Consulting https://www.kimnewlove.com/private-coaching  ✅ LinkedIn https://www.linkedin.com/in/kimnewlove ✅ Facebook https://www.facebook.com/kim.newlove.96 ✅ Twitter https://twitter.com/KimNewloveVO ✅ Instagram https://www.instagram.com/kimnewlovevo/ ✅ YouTube https://www.youtube.com/channel/UCA3UyhNBi9CCqIMP8t1wRZQ ✅ ACX (Audiobook Narrator Profile) https://www.acx.com/narrator?p=A10FSORRTANJ4Z ✅ Start a podcast with my coach, Dave Jackson from The School of Podcasting! 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Specific words, phrases, and jargon have become part of our vocabulary for a variety of reasons.They can reflect the culture at large, or they're specific to a certain business, group or place.Terminology we associate with corporate America, such as "bandwidth," "leaning in," and "circling back," have, for better or worse, entered the lexicon. However, when has this corporate speak worn out its welcome?Mignon Fogarty, our guide to better grammar, joins us this hour to talk about buzzwords and their place in our culture.Guest:Mignon Fogarty, host, "Grammar Girl" podcast/authorIf you have a disability and would like a transcript or other accommodation, you can request an alternative format.

Specific words, phrases, and jargon have become part of our vocabulary for a variety of reasons.They can reflect the culture at large, or they're specific to a certain business, group or place.Terminology we associate with corporate America, such as "bandwidth," "leaning in," and "circling back," have, for better or worse, entered the lexicon. However, when has this corporate speak worn out its welcome?Mignon Fogarty, our guide to better grammar, joins us this hour to talk about buzzwords and their place in our culture.Guest:Mignon Fogarty, host, "Grammar Girl" podcast/authorIf you have a disability and would like a transcript or other accommodation, you can request an alternative format.

Send me a Text Message here.Say what?! Why do we say that?Let's discuss some of the terminology of our profession. Why do we use what we do and is it correct?RSVP now! Robyn K Dean's Workshop March 28, 2026 Support the showDon't forget to tell a friend or colleague! Click below! IW Community Buy Me a Coffee Get extras with a subscription! Share the PODCAST Subscribe to the Monthly Newsletter Listen & follow on many other platforms. Send me a voicemail! [TRANSCRIPTS ARE HERE] Thanks for listening. I'll see you next week.Take care now.

reference: reference: Sri Aurobindo and the Mother, The Psychic Being — Soul: Its Nature, MIssion and Evolution, Preface by the publisher, pp. i – iiiThis episode is also available as a blog post at https://sriaurobindostudies.wordpress.com/2026/03/06/understanding-the-terminology-in-sri-aurobindos-use-of-the-words-soul-and-psychic/Video presentations, interviews and podcast episodes are allavailable on the YouTube Channel https://www.youtube.com/@santoshkrinsky871More information about Sri Aurobindo can be found at www.aurobindo.net  The US editions and links to e-book editions of SriAurobindo's writings can be found at Lotus Press www.lotuspress.com#Sri Aurobindo #yoga #integral yoga #spirituality #soul #psychic being #psychic

The risks of misunderstanding the term "risk factor": a primer with suggestions to improve sports medicine Stovitz SD, Impellizzeri FM, Shrier I Sports Med. Published online December 19, 2025. doi:10.1007/s40279-025-02378-0 Due to copyright laws, unless the article is open source we cannot legally post the PDF on the website for the world to download at will. Brought to you by our sponsors at: CSMi – https://www.humacnorm.com/ptinquest VALD MoveHealth - https://movehealth.me/ Learn more about/Buy Erik/Jason/Chris's courses – The Science PT Support us on the Patreons! Music for PT Inquest: "The Science of Selling Yourself Short" by Less Than Jake Used by Permission Other Music by Kevin MacLeod – incompetech.com: MidRoll Promo – Mining by Moonlight Koal Challenge – Sam Roux  

This week on the Erotic Awakening Podcast, episode 748  Dawn chats with Hypnostory and Panda about Memory Play, but it also drifted into talking about agency in Hypnosis…..great conversation…. ……plus, she reviews some bdsm terms like "aftercare, negotiation, collaring and free-use".    Links mentioned on the show: Intrigue https://fetlife.com/events/1725996 NM Leather & Kink Fair https://fetlife.com/events/2026/04/11/nm-leather-kink-fair-sat-apr-11-2026-puaxxg Primal Arts Fest https://fetlife.com/events/1911410   Transcript 1:38 Interview with Hypnostory and Panda 3:12 What is Memory Play? 4:17 Example of Memory Play 12:05 Hypnosis is teamwork 12:51 Using distraction to help with forgetting 15:04 Bottoming for hypnosis is not passive 17:58 Neural Pathways 19:40 Utilization in hypnosis 20:58 Dawn realizes hypnosis has skills like guided meditations 22:14 Hypnosis in Kink 24:53 Resistance and Agency 28:40 Removing suggestion 33:39 Vampire and Thrall style relationship 37:38 Consent Violation 40:25  Class is on February 15th at 3:00 PM Eastern Time - online - Remembering to Forget, exploring Memory Play 41:58 Where to find online hypnosis community 46:19 aftercare 46:50 negotiation 47:18 collaring 47:49 free use Enjoy!!! Dawn ***************************************** Fetlife - @erotic_awakening  Fetlife - @dawn_awakening Instagram - @eroticawakening Youtube - @eroticawakeningpodcast TikTok - @eapodcastdawn Newsletter - www.eroticawakening.com Discord - https://discord.gg/WQtSM56V39 748 - #bdsmterminology #bdsmterms #aftercare #bdsmnegotiations #freeuse #bdsmtng #kinkvirtual #powerexchange #polyamory #livingms #polyamorytoolkit #kinkeducation #leathereducation #onlineeducation #podcast #eroticawakeningpodcast #bdsm #domsub #submission #heartsandcollars

In this episode, we review the high-yield topic of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Terminology of Skin Lesions⁠⁠⁠⁠⁠ ⁠from the Dermatology section at ⁠⁠⁠⁠Medbullets.com⁠⁠⁠⁠⁠⁠Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Medbullets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on social media:Facebook: www.facebook.com/medbulletsInstagram: www.instagram.com/medbulletsofficialTwitter: www.twitter.com/medbulletsLinkedin: https://www.linkedin.com/company/medbullets

In this insightful conversation, Cynthia and Cory Hartman of New Generations explore how Disciple‑Making Movement terminology has developed, evolved, and continues to shift as God is at work around the world. Listeners will gain a clearer understanding of commonly used movement terms, their historical context, and why language matters for those engaged in disciple‑making today.

*Trigger Warning for this episode....self harm mentioned during solo top interview.    This week on the Erotic Awakening Podcast, episode 747,  Dawn chats with Dear Caroline about solo play….aka playing without a partner .... ……plus, she reviews some bdsm terms like "top, bottom, switch, TNG, & vanilla", and shares the titles of the virtual classes she'll be teaching this month.     Links mentioned on the show: Needle Playground https://needleplayground.com/ Leather Life Education Series https://leatherlife.org/ Intrigue https://fetlife.com/events/1725996 Indy Rope Expo https://www.indyropeexpo.com/ NM Leather & Kink Fair https://fetlife.com/events/2026/04/11/nm-leather-kink-fair-sat-apr-11-2026-puaxxg Primal Arts Fest https://fetlife.com/events/1911410 Dawn's online classes https://www.eroticawakening.com/ Or Dawn_Awakening (on fet) https://fetlife.com/Dawn_Awakening       Transcript 1:39 Interview with Dear Caroline on solo play 6:08 "I am my own sharps top" 7:23 Meditative head space 9:29 TW: Self Harm vs Solo Play 17:44 needleplayground.com 20:54 Where Dawn can be found in person 22:53 BDSM terms - top, bottom, switch, TNG, vanilla 26:46 Dawn's Feb. virtual class offerings    Enjoy!!! Dawn     Discounted/Free books, kink starter cards, online classes; early access to the show, and more!    https://www.patreon.com/eroticawakening   ***************************************** Fetlife - @erotic_awakening  Fetlife - @dawn_awakening Instagram - @eroticawakening Youtube - @eroticawakeningpodcast TikTok - @eapodcastdawn Newsletter - www.eroticawakening.com   Discord - https://discord.gg/WQtSM56V39 747 - #bdsmterminology #bdsmterms #bdsmtop #bdsmbottom #bdsmswitch #bdsmtng #kinkvirtual #powerexchange #polyamory #livingms #polyamorytoolkit #kinkeducation #leathereducation #onlineeducation #podcast #eroticawakeningpodcast #bdsm #domsub #submission #heartsandcollars 

This week on the Erotic Awakening Podcast, episode 746,  Dawn shares her thoughts on using Boot Worship as a form of grounding and calming energy .... ……plus, she reviews some polyamory/poly/polyam terms like monkey branching, unicorn quad, cow poking and poly saturation….and then mentions where she will be and what it's like to be in small town USA with no community   Links mentioned on the show: Leather Life Education Series https://leatherlife.org/ Intrigue https://fetlife.com/events/1725996 Indy Rope Expo https://www.indyropeexpo.com/ Primal Arts Fest https://fetlife.com/events/1911410     Transcript 9:32  If you don't have a partner to do Boot Worship with 12:11 Upcoming events 14:45 Monkey Branching 15:14 Unicorn quad 15:51 Cowpoking 16:22 Poly Saturation  16:57 Small town with no community 18:13 Dawn is an introvert Enjoy!!! Dawn     Discounted/Free books, kink starter cards, online classes; early access to the show, and more!    https://www.patreon.com/eroticawakening   ***************************************** Fetlife - @erotic_awakening  Instagram - @eroticawakening Youtube - @eroticawakeningpodcast TikTok - @eapodcastdawn Newsletter - www.eroticawakening.com   Discord - https://discord.gg/WQtSM56V39 746 - #polyamoryterminology #polyterms #polyam #monkeybranching #unicornquad #fcowpoking #cowgirling #polysaturation #powerexchange #polyamory #livingms #polyamorytoolkit #kinkeducation #leathereducation #onlineeducation #podcast #eroticawakeningpodcast #bdsm #domsub #submission #heartsandcollars 

In this episode of the By Any Means Coaches Podcast, we sit down with Rikki Broadmore, head coach at Barking Abbey Academy and one of the most respected youth development coaches in the UK. Rikki breaks down how he designs principles of play around personnel, why efficiency metrics matter more than systems, and how Barking Abbey reverse-engineers the modern game to prepare players for college, professional, and international basketball. The conversation offers a deep look into how winning, development, and long-term athlete preparation can coexist when the process is clear.The discussion also dives into practice design, decision-making under constraints, defensive layering, and the importance of environment over drills. Rikki shares how limited practice time can still produce elite outcomes through efficiency, terminology, and intentional repetition. Beyond tactics, the episode highlights coaching identity, imposter syndrome, relationship-building, and why caring for players as people is the true needle-mover in long-term success.Episode Breakdown & Timestamps00:00 – Introduction and background on Rikki Broadmore 03:10 – Developing principles of play based on personnel 06:15 – Trends in European basketball and flow offenses 07:40 – The four key categories Barking Abbey prioritizes 09:45 – Defense driving offense and playing fast 12:10 – Shot selection, ego, and earning freedom 16:00 – Roles, expectations, and allocating minutes 18:00 – Practice design and decision-making development 21:15 – Constraints-led approach in team practice 24:50 – Teaching efficiency with limited practice time 30:00 – Terminology, communication, and coaching efficiency 35:30 – Knowing when to intervene as a coach 39:45 – Relationships as the biggest needle-mover 45:00 – Learning through collaboration and sharing ideas 49:30 – Layering defensive coverages for development 56:45 – Winning vs development and long-term perspective 01:01:30 – Process-driven culture and mindfulnessWebsite Links:Coaching Resources: https://byanymeanscoaches.com/resourcesBAM Blueprint Book: https://byanymeanscoaches.com/blueprint-bookIf you're a coach looking to improve how you design environments, structure practices, and develop players, make sure to explore our coaching resources and dive into Coleman's new book: The Modern Basketball Blueprint. For more conversations like this one, subscribe to the By Any Means Coaches Podcast and continue learning alongside coaches who care deeply about the craft and the people they serve.

Vaginal rejuvenation is often misunderstood, misrepresented, and overdue for honest conversations in medicine. In this crossover episode between BackTable Urology and BackTable OBGYN, Dr. Nirit Rosenblum, a urology and OBGYN professor at NYU Langone Medical Center, is joined by Dr. Karyn Eilber, Chair of the Cedars-Sinai Medical Group Department of Surgery, and Dr. Ariana Smith, Chief of Urology at Pennsylvania Hospital. Together, they bring a multidisciplinary lens to one of the most misunderstood areas of women's health. --- SYNPOSIS The discussion revolves around the broad definition of vaginal rejuvenation, distinguishing between medical and cosmetic interventions. They address common misconceptions, the roles of different health professionals, and emphasize the importance of pelvic floor physical therapy and the appropriate use of systemic and vaginal estrogen therapy. The conversation also highlights critical gaps in research surrounding laser and radiofrequency interventions, underscoring the need for stronger evidence, clearer patient education, and continued advocacy around menopause care and sexual function. --- TIMESTAMPS 00:00 - Introduction02:07 - Defining Vaginal Rejuvenation04:31 - Common Procedures and Misconceptions10:00 - Insurance and Coverage of Procedures12:00 - Laser and Radiofrequency Therapies18:06 - Vaginal Estrogen and Lift of Black Box Warning19:55 - The Role of Systemic Hormone Therapy26:52 - Vaginal Rejuvenation Misconceptions32:17 - Pelvic Floor Physical Therapy and Timing of Procedures34:20 - Regional Variations in Therapeutic Availability38:36 - Gender Inequity in Healthcare40:12 - Final Thoughts --- RESOURCES Joint Report on Terminology for Cosmetic Gynecologyhttps://journals.lww.com/fpmrs/abstract/2022/06000/joint_report_on_terminology_for_cosmetic.2.aspx

Vaginal rejuvenation is often misunderstood, misrepresented, and overdue for honest conversations in medicine. In this crossover episode between BackTable Urology and BackTable OBGYN, Dr. Nirit Rosenblum, a urology and OBGYN professor at NYU Langone Medical Center, is joined by Dr. Karyn Eilber, Chair of the Cedars-Sinai Medical Group Department of Surgery, and Dr. Ariana Smith, Chief of Urology at Pennsylvania Hospital. Together, they bring a multidisciplinary lens to one of the most misunderstood areas of women's health. --- SYNPOSIS The discussion revolves around the broad definition of vaginal rejuvenation, distinguishing between medical and cosmetic interventions. They address common misconceptions, the roles of different health professionals, and emphasize the importance of pelvic floor physical therapy and the appropriate use of systemic and vaginal estrogen therapy. The conversation also highlights critical gaps in research surrounding laser and radiofrequency interventions, underscoring the need for stronger evidence, clearer patient education, and continued advocacy around menopause care and sexual function. --- TIMESTAMPS 00:00 - Introduction02:11 - Defining Vaginal Rejuvenation04:35 - Common Procedures and Misconceptions10:04 - Insurance and Coverage of Procedures12:04 - Laser and Radiofrequency Therapies18:10 - Vaginal Estrogen and Lift of Black Box Warning19:59 - The Role of Systemic Hormone Therapy26:56 - Vaginal Rejuvenation Misconceptions32:21 - Pelvic Floor Physical Therapy and Timing of Procedures34:24 - Regional Variations in Therapeutic Availability38:40 - Gender Inequity in Healthcare40:16 - Final Thoughts --- RESOURCES Joint Report on Terminology for Cosmetic Gynecology https://journals.lww.com/fpmrs/abstract/2022/06000/joint_report_on_terminology_for_cosmetic.2.aspx

This week on the Erotic Awakening Podcast, episode 745,  Dawn chats with Dear Caroline from Needle Playground on the subject of Quills .... ……plus, she reviews some polyamory/poly/polyam terms like fluid bonded, compersion, anchor, comet ….and then mentions where she will be and shares a resource that she just became aware of!   Links mentioned on the show: Needle Playground https://needleplayground.com/ Leather Life Education Series https://leatherlife.org/ Intrigue https://fetlife.com/events/1725996 Indy Rope Expo https://www.indyropeexpo.com/ Primal Arts Fest https://fetlife.com/events/1911410 Polyamory in the News https://polyinthemedia.blogspot.com/ Twisted Windows https://www.twistedwindows.com/     Transcript 1:54 Interview Dear Caroline on Quills 4:07 Types of porcupine 4:42 Quill barbs 5:11 Quill cleaning 12:44 How Caroline got started in Quills 17:05 Needle Playground 19:41 Where Dawn will be in 2026 21:48 Polyamory Terminology 22:41 Fluid Bonded 24:59 Comet Relationship 25:46 Compersion 26:47 Anchor 27:55 Breaking of Bread w/Friends 29:06 Resource - Twisted Windows     Enjoy!!! Dawn     Discounted/Free books, kink starter cards, online classes; early access to the show, and more!    https://www.patreon.com/eroticawakening   ***************************************** Fetlife - @erotic_awakening  Instagram - @eroticawakening Youtube - @eroticawakeningpodcast TikTok - @eapodcastdawn Newsletter - www.eroticawakening.com   Discord - https://discord.gg/WQtSM56V39   745 - #polyamoryterminology #polyam #anchorrelationship #cometrelationship #fluidbonded #compersion #powerexchange #polyamory #livingms #polyamorytoolkit #kinkeducation #leathereducation #onlineeducation #podcast #eroticawakeningpodcast #bdsm #domsub #submission #heartsandcollars @twistedwindows #bdsmresources  

This week I Update The Terminology List [powerpress]

This week on the Erotic Awakening Podcast, episode 744,  Dawn reviews some changes that happened in 2025,, .. ……plus, she reviews some polyamory/poly/polyam terms like kitchen table polyamory….and then mentions the goal channels/room on the EA discord server. BTW, you don't have to be a patron to join the discord server and chat with other listeners!!!    Links mentioned on the show: Leather Life Education Series https://leatherlife.org/ KIC https://kicevents.com/ Intrigue https://fetlife.com/events/1725996 Indy Rope Expo https://www.indyropeexpo.com/     Transcript 1:20 Why patron is the first part of the show 2:01 2025 Review 3:13 Hot Hot Yuma 4:19 D/d split 4:40 Dawn hits the road 5:08 Chicago stop 5:34 Healing Dungeon Series 7:08 Madison, Milwaukee, Elgin 8:46 Kicked Ass at Naughty Revival 10:02 KIC and Tools for Anxiety 11:10 Delaware 12:33 What's next? 15:53 Where I'll be next 18:01 Poly terminology 19:24 Kitchen Table Polyamory 20:57 Parallel Polyamory 22:35 Garden Party Polyamory 23:35 Solo Polyamory 24:48 Relationship Anarchy 26:18 Goals for 2026   Enjoy!!! Dawn     Discounted/Free books, kink starter cards, online classes; early access to the show, and more!    https://www.patreon.com/eroticawakening   ***************************************** Fetlife - @erotic_awakening  Instagram - @eroticawakening Youtube - @eroticawakeningpodcast TikTok - @eapodcastdawn Newsletter - www.eroticawakening.com   Discord - https://discord.gg/WQtSM56V39 744 - #polyamoryterminology #polyam #kitchentablepoly #solopoly #gardenpartypoly #relationshipanarchy #powerexchange #polyamory #livingms #polyamorytoolkit #kinkeducation #leathereducation #onlineeducation #podcast #eroticawakeningpodcast #bdsm #domsub #submission #heartsandcollars  

Gardening is one of those human activities with a long history, deep symbolism and a lot of details, so it has a substantial vocabulary to accompany it. In this episode, Don and John go over some of the curious terms you may hear in gardening so you won't be left scratching your head.

While many travelers to New York City envision Manhattan's popular landmarks, NYC is composed of five unique and culture-rich boroughs.We'll give a brief overview of each borough and dive into some important NY terminology to help you have a smoother exploration of the city.The five boroughs of New York City are:ManhattanQueensBrooklynThe BronxStaten IslandEach of the five boroughs in New York City has unique offerings, cultures, and history. But first, let's define 'borough'.What is a Borough?In 1898, the term borough was adopted to describe a form of governmental administration for each of the five fundamental constituent parts of the newly consolidated city. So while each borough has some of its own governance, its power is inferior to the authority of the government of the City of New York.Before 1898, each borough (mostly) was seen more as a county and did not fall within the city of New York. Interestingly, each borough is also its own county.The boroughs aren't autonomous cities within a city, but rather administrative divisions of a single municipal government. It explains why, for example, the Mayor of NYC has authority over all five boroughs, and why there's one unified city budget, police department (NYPD), etc., even though each borough has its own Borough President and some local administrative functions.In today's terms, a borough is one of the five distinct geographic regions of New York City including:ManhattanQueensBrooklynThe BronxStaten IslandEach borough has multiple neighborhoods with distinct cultures and histories. We took to social media to get insights from borough residents, so you'll see their recommendations sprinkled throughout.See our full write-up on our website for links to places we mentioned (sorry, we can't fit it all in a podcast description).You'll Have to Check It Out - La Grande Boucherie in MidtownWant even more NYC insights? Sign up for our 100% free newsletter to access:Dozens of Google Maps lists arranged by cuisine and location50+ page NYC Navigation Guide covering getting to & from airports, taking the subway & moreWeekly insights on top spots, upcoming events, and must-know NYC tipsGet started here: ⁠⁠https://rebrand.ly/nyc-navigation-guide

In this episode, host Sloan Simmons is joined by Lozano Smith attorneys Sarah Garcia and Karina Demirchyan to discuss why student attendance has become a critical issue for local educational agencies and how attendance concerns can evolve into legal and special education obligations. Drawing on recent legislative updates and real-world experience, the conversation highlights funding considerations, attendance terminology, notification requirements, and when chronic absenteeism may trigger child find duties and further intervention. Show Notes & References 1:21 – Why attendance is a critical issue for Local Educational Agencies (LEAs) 1:57 – School funding and average daily membership (Senate Bill (SB) 98) 2:05 – Optional attendance recovery program (SB 153) 2:19 – New excused absences (SB 1138) (See Client News Brief 45 – October 2024) 2:51 – Truancy (AB 461) (See Client News Brief 58 – December 2025) 3:09 – Lozano Smith Podcast Episode 99: New Laws Impacting Students Heading into 2026 3:49 – Heightened attention on attendance from California Department of Education (CDE) and supporting data 6:18 – Correlation between attendance and discipline 7:51 – Legal requirements for LEAs regarding attendance 9:16 – Terminology (chronic absenteeism, truancy, habitual truancy, and chronic truancy) 14:51 – Notification requirements for truancy letters (SB 691) (See Client News Brief 45 – October 2024) 16:56 – When attendance issues become a special education issue 21:44 – Child find and evaluating absent students for special education 22:34 – Factors that LEAs should be looking for with attendance when considering referring a student for assessment 25:18 – School Attendance Review Board (SARB) 27:11 – Effective attendance and behavior interventions 28:44 – Parent training 30:56 – Cautionary tales and anecdotes from the field For more information on the topics discussed in this podcast, please visit our website at: www.lozanosmith.com/podcast

Daniel sits down with manifestation teacher Ayelet Polonsky, for a conversation that goes far beyond surface-level spirituality.What begins as a discussion about time, dreams, and Inception quickly deepens into an exploration of belief versus faith, desire, power, ego, and the responsibility that comes with conscious creation. Together, they examine how language shapes perception, where manifestation can become ethically dangerous, and why awareness, not dominance, is the foundation of real power.Ayelet shares her experiences studying and living in India, Israel, and indigenous traditions, along with her approach to manifestation work, one rooted in regulation, inner coherence, and personal accountability rather than wish fulfillment. Daniel challenges ideas where clarity is needed, questions terminology where it matters, and openly reflects on his own relationship to power, validation, and restraint in spiritual spaces.Ayelet's bio:Ayelet Polonsky, aka "The Manifestation Mentor" is an adventure loving, green living, healthy dessert fanatic & yogi... who helps people turn their "thoughts into things!"Professionally she is an Inspirational Speaker, Life Coach and Therapist.Ayelet is trained in Cognitive Behavioral, Narrative Therapy & EFT.Her work has been featured in Mind Body Green, Elephant Journal, Glamor Magazine, Fox News, NBC, and CBS News.She lived in India for a large chunk of six years and learned Visualization and Meditation under some of the greatest Enlightened Masters until she arrived in Israel five years ago, where she's been a student and teacher of Mysticism and Manifestation under great mystics & rabbis.Ayelet has led transformational retreats and workshops for women all around the world.As her husband says, “Ayelet is in the transformation business.” She lives to help women break through the blockages of self-worth so that they can unlock miracles!"Deep inner work can be hard work, so she makes sure you're having FUN and laughing A LOT along the way!All of her links are here: https://linktr.ee/ayeletpolonskyThe link contents are The Think BIG Podcast, The 21-Day Joy Challenge, The Manifestation Mindset Online Course, and many more.She also does 1 on 1 coaching sessions.

In this episode, we review the high-yield topic of⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Terminology of Skin Lesions⁠ ⁠from the Dermatology section.Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medbullets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on social media:Facebook: www.facebook.com/medbulletsInstagram: www.instagram.com/medbulletsofficialTwitter: www.twitter.com/medbullets

Athletic Recruiting Terminology & Definitions Click Here to join the Recruit-Me Monthly Newsletter.  Get monthly tidbits of recruiting advice and education.     Recruit-Me.com Recruit-Me 3.0 Athletic Scholarship System FREE Recruiting Power Pack QRRecruiter.com  promo code RecruitMe5 CollegeCoachesOnline.com  promo code RM123 Listen to Past Episodes of The Athletic Scholarship Podcast Baseball Bluebook Virtual Dugout App  

In this episode of The Ross Simmonds Show, Ross dives deep into one of the most fundamental marketing shifts of our time — the emergence of Generative Engine Optimization (GEO). As AI-powered discovery tools like ChatGPT, Perplexity, Google AI Overviews, Reddit Answers, TikTok Search, and more evolve, traditional SEO strategies are no longer enough. Ross unpacks how marketers need to rethink content creation, distribution, and visibility across platforms, focusing not just on ranking, but on being cited, trusted, and remembered. Whether you're an SEO pro, a content marketer, or someone navigating the changing digital landscape, this episode offers a powerful perspective on where discovery is heading and how you can position your brand for success. Key Takeaways and Insights: 1. The Shift from Traditional SEO to GEO - The discovery journey is changing — not all search begins (or ends) on Google. - GEO (Generative Engine Optimization) is not just about keywords and backlinks, but about engaging with AI-powered platforms like ChatGPT, Claude, Perplexity, You.com, Reddit, TikTok, YouTube, and more. - Terminology wars (AISEO, AEO, GEO) are less important than understanding the strategic implications of the shift. 2. Where AI Discovery is Happening - AI overviews and LLMs (large language models) pull data from varied sources, not just webpages — Reddit, YouTube, TikTok, and UGC are key. - Clicking is becoming less important as AI agents deliver answers before users even leave the platform. 3. YouTube's Role in GEO - YouTube isn't just social media — it's the second-biggest search engine and a major citation source for LLMs. - Talking head videos, product comparisons, and keyword-aligned titles matter more than ever. - A poor YouTube strategy (short, shallow clips) means your audience never finds you. 4. Listicles, PR, and Affiliate Strategy in the AI Age - AI often weighs citations based on list ranking — being #8 consistently limits visibility. - Your affiliate and digital PR strategies must now consider how high you appear on listicles that AI sources from. - Move beyond backlinks to placements, citations, and brand mentions across high-impact domains. 5. Tailoring Content for Audience-Specific Queries - LLMs recognize nuances: “best for beginners” vs. “best for enterprise” matters. - Brands should create multiple landing pages tailored to different personas (as long as it's high quality and not duplicated). 6. The Difference Between SEO and GEO - GEO includes SEO, but it's broader — it encompasses TikTok search, Instagram Reels, Reddit, and any platform with discovery. - GEO is about visibility in AI-powered interfaces, not just search rankings. 7. The Predictive Future of Discovery - Personalized AI results are here: Google's AI Overviews may use Gmail, Calendar, Chrome history to shape responses. - The future consumer journey might completely bypass websites and search engines. Resources & Tools:

https://teachhoops.com/ 10 Keys To Basketball Scouting Scouting Philosophy Preparation and Game Film Analysis Focus on Concepts Over Patterns Simplicity in Scouting Reports Less is More Importance of Film Study Adapting Defensive Strategies Scouting Your Own Team Use of Terminology and Practice Drills Dedication to the Scouting Process ⁠Teachhoops.com⁠ ⁠Wintheseason.com⁠ ⁠Facebook Group⁠ ⁠Youtube Channel⁠ ⁠Teachhoops BLOG⁠ Podcasts ⁠High School Hoops⁠ ⁠Basketball Coach Unplugged⁠ ⁠5 Min Basketball Coaching Podcast⁠ ⁠Funnel Down Defense⁠ ⁠Rule of 3 Offense⁠ ⁠Coaching Youth Hoops⁠ ⁠https://forms.gle/kQ8zyxgfqwUA3ChU7⁠ ⁠Coach Collins Coaching Store⁠ ⁠Twitter⁠ Check out.  [Teachhoops.com](⁠https://teachhoops.com/⁠) 14 day Free Trial Youth Basketball Coaches Podcast Apple link: ⁠https://podcasts.apple.com/us/podcast/coaching-youth-hoops/id1619185302⁠ Spotify link: ⁠https://open.spotify.com/show/0g8yYhAfztndxT1FZ4OI3A⁠ ⁠Funnel Down Defense Podcast⁠ ⁠https://podcasts.apple.com/us/podcast/funnel-down-defense/id1593734011⁠ Want More ⁠Funnel Down Defense⁠ ⁠https://coachcollins.podia.com/funnel-down-defense⁠ [Facebook Group . Basketball Coaches](⁠https://www.facebook.com/groups/basketballcoaches/)⁠ [Facebook Group . Basketball Drills](⁠https://www.facebook.com/groups/321590381624013/)⁠ Want to Get a Question Answered? [ Leave a Question here](⁠https://www.speakpipe.com/Teachhoops⁠) Check out our other podcast [High School Hoops ](⁠https://itunes.apple.com/us/podcast/high-school-hoops-coaching-high-school-basketball/id1441192866⁠) Check out our Sponsors [HERE](https://drdishbasketball.com/) Mention Coach Unplugged and get 350 dollars off your next purchase Coach Collins Interview basketball resources free basketball resources Coach Unplugged Basketball drills, basketball coach, basketball workouts, basketball dribbling drills,  ball handling drills, passing drills, shooting drills, basketball training equipment, basketball conditioning, fun basketball games, basketball jerseys, basketball shooting machine, basketball shot, basketball ball, basketball training, basketball camps, youth basketball, youth basketball leagues, basketball recruiting, basketball coaching jobs, basketball tryouts, basketball coach, youth basketball drills, The Basketball Podcast, How to Coach Basketball, Funnel Down Defense FDD Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode we take you to Charm City Run in Frederick, Maryland, to speak with store owner Josh Levinson about running shoe tech and terminology. How are running shoes engineered these days and what is the insider terminology you should know? Learn about stack height, heel-to-toe drop, stability, energy return, carbon and nylon plates, midsole foam durometer, torsional rigidity, gusseted tongue, and more. Josh and Kara Levinson opened their first specialty running store in 2002. Charm City Run now has 7 locations (six in Maryland and 1 in Delaware) and 200 employees! Special thanks to Academy member Stephanie Smith for arranging this interview! [powerpress] [box] Links Mentioned in This Episode Run Coaching. Work with an expert MTA running Coach. Altra Running -Altra shoes are designed to fit the natural shape of feet with room for your toes, for comfort, balance, and strength. So you focus on what really matters:  Getting out there. Joint Health Plus by Previnex -prevention is the best medicine and you need to protect your joint cartilage from breakdown. Get 30% off during their Black Friday Sale (no coupon code needed) or use code MTA for 15% off your first order the rest of the year. IQBAR brain and body-boosting bars, hydration mixes, and mushroom coffees. Their Ultimate Sampler Pack includes all three! Get 20% off plus FREE shipping. Just text “MTA” to 64000. The Virginia Credit Union River City Half -March 7 in Richmond, Virginia. 2026 Running Retreat in the Italian Dolomites with Run the Alps. See this page for details. Athens 2026 Marathon Tour with MTA and Dean Karnazes. It's going to be epic! [/box]

It is important to establish certain terms when studying biblical genealogies, beginning with the descendants of Noah all the way to Christ.  God's word of promise is specifically focused on certain family lines and many of the terms to describe them have been homogenized and confused.  Understanding the terms aright, bring great clarity to the rest of the Bible and its future prophecies.  VF-2349 Watch, Listen and Learn 24x7 at PastorMelissaScott.com Pastor Melissa Scott teaches from Faith Center in Glendale. Call 1-800-338-3030 24x7 to leave a message for Pastor Scott. You may make reservations to attend a live service, leave a prayer request or make a commitment. Pastor Scott appreciates messages and reads them often during live broadcasts. Follow @Pastor_Scott on Twitter and visit her official Facebook page @Pastor.M.Scott. Download Pastor Scott's "Understand the Bible" app for iPhone, iPad and iPod at the Apple App Store and for Android devices in the Google Store. Pastor Scott can also be seen 24x7 on Roku and Amazon Fire on the "Understand the Bible?" channel. ©2025 Pastor Melissa Scott, Ph.D., All Rights Reserved

Most infinite banking policies don't fail because of the insurance company… they fail because of human behavior. Are you quietly stealing the peas from your own grocery store?

In this bonus episode, Professor Nicholas Giordano joins The American Radicals Podcast hosted by FBI whistleblower Steve Friend for a powerful conversation on the rise of bureaucratic power in America. Professor Giordano breaks down how federal agencies have expanded far beyond their constitutional limits, how Congress routinely fails to provide real oversight, and how the deep state uses vague laws and political theater to protect itself. The discussion exposes the consequences of unchecked federal law enforcement, the dangers of labeling ordinary citizens as threats, and the urgent need to reform the system with real accountability, transparency, and the power of the purse. Episode Highlights How federal agencies grew into an unaccountable power center that the founding fathers warned us about. Why Congress refuses to challenge abusive agencies and how the Patriot Act opened the door to mass surveillance. What real reform looks like, including sunsetting agencies, limiting authority, and ending qualified immunity for federal agents.  

This week our Dressed Classic episode revisits a 2022 episode where we go down the rabbit hole of quirky and little-known fashion terms. Want more Dressed: The History of Fashion?  Our ⁠⁠⁠⁠website⁠⁠⁠⁠ and ⁠⁠⁠⁠classes⁠⁠⁠⁠ Our ⁠⁠⁠⁠Instagram⁠⁠⁠⁠ Our ⁠⁠⁠⁠bookshelf⁠⁠⁠⁠ with over 150 of our favorite fashion history titles Dressed is a part of the ⁠⁠⁠⁠AirWave Media⁠⁠⁠⁠ network Learn more about your ad choices. Visit megaphone.fm/adchoices

If you'd like to work with us on your Medicare health plan, we're licensed in 45 states and actively helping clients across the country. Christian and the team at Everything Senior Insurance represent many of the top insurance companies in the Medicare space. We're happy to help—just reach out! ➡️ Visit our site: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.eseniorinsurance.com⁠⁠⁠⁠⁠⁠⁠⁠⁠✅ Call us: (801) 255-5340

Girlfriend and boyfriend just seems weird at some point.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Girlfriend/Boyfriend just doesn't seem right.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.