Podcasts about tamay

Ege Erdil and Tamay Besiroglu have 2045+ timelines, think the whole "alignment" framing is wrong, don't think an intelligence explosion is plausible, but are convinced we'll see explosive economic growth (economy literally doubling every year or two).This discussion offers a totally different scenario than my recent interview with Scott and Daniel.Ege and Tamay are the co-founders of Mechanize, a startup dedicated to fully automating work. Before founding Mechanize, Ege and Tamay worked on AI forecasts at Epoch AI.Watch on Youtube; listen on Apple Podcasts or Spotify.----------Sponsors* WorkOS makes it easy to become enterprise-ready. With simple APIs for essential enterprise features like SSO and SCIM, WorkOS helps companies like Vercel, Plaid, and OpenAI meet the requirements of their biggest customers. To learn more about how they can help you do the same, visit workos.com* Scale's Data Foundry gives major AI labs access to high-quality data to fuel post-training, including advanced reasoning capabilities. If you're an AI researcher or engineer, learn about how Scale's Data Foundry and research lab, SEAL, can help you go beyond the current frontier at scale.com/dwarkesh* Google's Gemini Pro 2.5 is the model we use the most at Dwarkesh Podcast: it helps us generate transcripts, identify interesting clips, and code up new tools. If you want to try it for yourself, it's now available in Preview with higher rate limits! Start building with it today at aistudio.google.com.----------Timestamps(00:00:00) - AGI will take another 3 decades(00:22:27) - Even reasoning models lack animal intelligence (00:45:04) - Intelligence explosion(01:00:57) - Ege & Tamay's story(01:06:24) - Explosive economic growth(01:33:00) - Will there be a separate AI economy?(01:47:08) - Can we predictably influence the future?(02:19:48) - Arms race dynamic(02:29:48) - Is superintelligence a real thing?(02:35:45) - Reasons not to expect explosive growth(02:49:00) - Fully automated firms(02:54:43) - Will central planning work after AGI?(02:58:20) - Career advice Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Podcast: Epoch After HoursEpisode: AI in 2030, Scaling Bottlenecks, and Explosive GrowthRelease date: 2025-01-16Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn our first episode of Epoch After Hours, Ege, Tamay and Jaime dig into what they expect AI to look like by 2030; why economists are underestimating the likelihood of explosive growth; the startling regularity in technological trends like Moore's Law; Moravec's paradox, and how we might overcome it; and much more!

Tamay Besiroglu is a researcher working on the intersection of economics and AI. He is currently the Associate Director of Epoch AI, a research institute investigating key trends and questions that will shape the trajectory and governance of AI. You can find links and a transcript at www.hearthisidea.com/episodes/besiroglu In this episode we talked about open source the risks and benefits of open source AI models. We talk about: The argument for explosive growth from ‘increasing returns to scale' Does AI need to be able to automate R&D to cause rapid growth? Which theories of growth best explain the Industrial Revolution; and what do they predict from AI? What happens to human incomes under near-total job automation? Are regulations likely to slow down frontier AI progress enough to prevent this? Might AI go the way of nuclear power? Will AI hit on resource or power limits before explosive growth? Won't it run out of data first? Why aren't academic economists more interested in the prospect of explosive growth, if indeed it is so plausible? You can get in touch through our website or on Twitter. Consider leaving us an honest review wherever you're listening to this — it's the best way to support the show. Thanks for listening!

Message us, here for you!Alright, let's dive into this content creation game with Tamay Shannon, the badass behind W2S Marketing. She's been in the trenches for over a decade, figuring out the ins and outs of social media and how to make it work for businesses like yours.Here's the deal: everything is content. Yeah, you heard that right. But before you start panicking about needing to post 24/7, Tamay's got some real talk for you. It's not about quantity, it's about strategy. What's your endgame? Fame? Authority? More clients? Figure that out first, then create content that actually moves the needle.And listen up, AI isn't the enemy. It's a tool, just like social media. Use it smart, edit the hell out of it, and make it sound like you. Because at the end of the day, your unique voice is what sets you apart in this noisy digital world.Tamay drops some serious knowledge bombs about building community, leveraging your strengths (even if you hate being on camera), and how to repurpose content like a pro. Trust me, this episode is a goldmine for any business owner feeling overwhelmed by the content creation grind.Ready to level up your social media game? Check out Tamay's socials: Twitter: https://x.com/where2start Instagram: https://www.instagram.com/w2smarketing/ LinkedIn: https://www.linkedin.com/in/tamayshannon/ Website: http://w2smarketing.com/Don't just consume this content – engage with it. Hit us up with questions, comments, or your own social media war stories. Let's keep this conversation going and grow together. Now get out there and create some killer content, your way.Welcome to the No BS Wealth Podcast with Stoy Hall, your candid guide to financial clarity. In our third year, we're spicing things up by enhancing community ties and bringing you straight, no-fluff financial insights. Connect with us on NoBSWealthPodcast.com, and follow Stoy on social media for the latest episodes and expert discussions. Tune in, join the conversation, and transform your financial journey with us—no BS!Follow our Host, Stoy Hall:Twitter, FaceBook, Instagram, TiktokResearch our companies or partners:blackmammoth.com

In this podcast, Tamay will unveil her strategies for cutting through the noise and standing out online. From the psychology of consumer engagement to the nuts and bolts of building a digital presence that lasts, she'll give you the tools to elevate your brand. Whether you're a budding entrepreneur, a seasoned business owner, or just passionate about the digital world, Tamay's insights will help you transform your approach to online marketing. For more info, visit; https://w2smarketing.com/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/rngradioshow/message Support this podcast: https://podcasters.spotify.com/pod/show/rngradioshow/support

Ende letzten Jahres habe ich bei Instagram gefragt, auf welche Podcastthemen ihr Lust habt. Der liebe Tamay hat sich bei mir mit einem spannenden Thema gemeldet. "New Work - wie gehst du damit um, wenn du alleine zu Hause sitzst, kreativen Content produzieren möchtest aber die Kreativität nicht fließt?"Svenja und ich haben uns in dieser Folge darüber ausgetauscht Was New Work für uns bedeutetDass es manchmal ganz schön überfordernd sein kann, seinen Arbeitsalltag selbst zu gestalten Es gleichzeitig wahnsinnig viel Freiheit bedeutet. Tipps für dich um deinen new way of work zu gestaltenWie immer freue ich mich sehr über dein Feedback.

To be successful at anything, you need a strategy... and social media is no different. I love seeing friends and colleagues embrace content creation and effective engagement on social media, but not all of us feel confident enough to do that. Tamay Shannon believes that Social Media doesn't have to be hard, ineffective, or time-consuming. Tamay's company, Where 2 Start Marketing, was created especially to help take the overwhelm out of social media for small businesses. She's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle. Join us for an insightful conversation about social media strategy and content creation.

Ready to revolutionize your travel agency in just 20 minutes? Join us for 'Mastering ChatGPT for Travel Agents,' a turbo-charged workshop designed to fast-track your customer service and operational efficiency. Learn how to train ChatGPT, a state-of-the-art conversational AI, to tackle tasks like itinerary planning and customer queries. This session offers a quick dive into evaluating and refining the AI's performance, all while providing you with a take-home worksheet for continued learning. Perfect for busy travel professionals, this workshop is your ticket to leveraging AI for standout service in a crowded market. Don't miss this quick but impactful journey into the future of travel tech! Take away: - Understanding of how to train ChatGPT for tasks specific to travel agencies, like itinerary planning and customer service. - Learn a streamlined approach (STAR Method) to assess the quality and relevance of ChatGPT's responses, ensuring they meet the unique needs of travel clients. - Get quick hacks for tweaking ChatGPT's performance, making it a more effective tool for their travel agency operations. (Think integrations etc) - A worksheet that extend the learning with suggested prompts and things they can do to extend what they learned in the 20min. Host Week 2024 Landing Site: https://har.news/hostweek View Host Week Magazine: https://har.news/2024HWmagazine Host Week Specials: https://har.news/deals Register for Host Week 2025: https://har.news/signupHW2025 7-Day Setup Course with HAR: https://har.news/7DScourse Host Week 2024 Survey: https://har.news/hwsurvey

This week I sit down with Social Media strategist Tamay Shannon, we chatted on the current trends of social media, breaking through the algorithm and the physiological impact of social media on our behavior and self-esteem.    Work with Tamay today by checking out her site https://w2smarketing.com/  Follow her on Instagram and LinkedIN as well    Vibe Minute songs : Liana Banks "Eat" & Infinity Song "Slow Burn"  Tune into the Vibe Hour on Stationhead every Tuesday & Thursday at 9PM EST    Subscribe to my Patreon  Follow the podcast on IG @simplykingpod Follow on Tiktok @kings_memoirs Follow me everywhere @kings_memoirs  Follow my business page @lifeasking Sign up for my email list so that you never miss content  https://www.lifeasking.com/links    (I do not own the music used in this production)   

Tamay Jentjens ist u.a. bekannt durch seinen YouTube Kanal mit dem er Menschen dabei hilft sich wieder mit Ihrem Body&Mind zu verbinden.Sein eigener Wunsch einen Weg in die Schmerzfreiheit zu finden und sich endlich lebendig zu fühlen, hat ihn zum bekannten Mobility Coach werden lassen. Mittlerweile unterrichtet er neben Beweglichkeit & Schmerzfreiheit über unsere komplexen emotionalen und psychosomatischen Zustände, da wir als multidimensionale Wesen unsere Erinnerungen genauso im Körper speichern wie im Verstand. "Freiheit, Lebendigkeit und Fülle sind Ausdruck eines vollständigen körperlichen, geistigen und emotionalen Lebens." Es gibt einen bunten und offenen Dialog zwischen zwei Kollegen, die sich auf den eigenen Weg gemacht haben herauszufinden was sie in Ihrem Leben blockiert, um dadurch ihre aktuelle Profession zu finden und nun anderen Menschen damit helfen zu können. Welchen Zusammenhang gibt es zwischen Emotionen wie Angst und verbundenen körperlichen Schmerzen? Was lehrt uns die bioenergetische Analyse über die Verbindung zwischen unserer Körperhaltung und unserer Entwicklungsgeschichte? Wie schaffen wir es körperliche Blockaden am besten aufzulösen? Unsere eigenen Learnings im YouTube und Podcast Game Den Impact seiner Psilocybin und Ayahuasca Erfahrung auf sein Leben Selbstregulation und neue Strukturerfahrungen um alte Erfahrungswerte zu überschreiben  uvw. --------------------------------------- Ich freue mich wenn du eine positive Bewertung da lässt und den Podcast mit Freunden teilst. Um jede Woche die neuesten Folgen und Updates per Mail zu erhalten, melde dich gerne beim Newsletter an. --------------------------------------- Mobility Coaching mit Tamay: https://tamay-jentjens.com Sein YouTube Kanal --------------------------------------- Hier findest du mehr über meine Arbeit: Retreats & Newsletter: ⁠⁠http://www.essentiya.com⁠⁠ Einzelbegleitung und Coaching: ⁠⁠https://www.alexanderfaubel.com⁠⁠ Instagram: ⁠⁠@alex_faubel⁠⁠ ⁠⁠@psychedelische_retreats

Wir freuen uns, dass Tamay Schimang zum zweiten Mal bei unserem Podcast „How to Legal Tech“ dabei ist. In einer neuen Folge mit unserem Host Luis Stade erzählt er uns von der neu gegründeten Plattform LOOP (Legal- Operations-Plattform). Tamay ist Rechtsanwalt und Director Legal Operations bei EY Law und berät zahlreiche Unternehmen bei Fragen zu Legal Process & Technology und Legal Operations. Mit Luis spricht Tamay über die Gründe, weshalb er gemeinsam mit vielen Kolleginnen und Kollegen eine neue Plattform etabliert hat. Nicht nur Unternehmen erkennen immer mehr, dass Legal Operations einen wichtigen Beitrag zur nachhaltigen Unternehmensentwicklung leisten. Auch das Interesse von Studenten, insbesondere Nachwuchsjuristen, an dem Thema Legal Operations nimmt zu, jedoch ist das universitäre Angebot aktuell noch sehr begrenzt. Das Ziel von LOOP ist es, das Thema rund um Legal Operations stärker in die Lehre zu integrieren und das universitäre Angebot in Kooperation mit Universitäten & Hochschulen auszubauen. In dieser Folge erfahren wir auch mehr über die anstehenden Events von LOOP. Eins davon ist das Legal Operations Speed Dating am 22.11.23 in Frankfurt am Main. Hier können sich interessierte Studierende u.a, mit Experten von Allen Overy, Ernst & Young Law, ING-DiBa AG, Telekom AG und PWC über deren Praxiserfahrung im Bereich Legal Operations austauschen. Weitere Informationen zu der Veranstaltung und eine E-Mail zur Anmeldung findest Du hier: https://www.linkedin.com/events/legaloperationsnetworking7126147362783125504/ & legal-ops-networking@fb3.fra-uas.de

"Jedes Gefühl der Unverbundenheit weißt mir den Weg zurück zur Vollständigkeit" - Tamay Jentjens Tamay betreibt seit über 7 Jahren einen erfolgreichen YouTube Channel zu den Themen Emotionen, Körper, Beweglichkeit & Potentialentfaltung. Tamay ist als Coach, Mentor & Facilitator tätig und unterstützt Menschen dabei zur erfülltesten & bewusstesten Version ihrer Selbst zu werden.

This is not the usual podcast on New Things Under the Sun. For the third issue of Asterisk Magazine, Tamay Besiroglu and I were asked to write an article on how likely it is that artificial intelligence will lead to not just faster economic growth, but explosive economic growth. (Tamay will introduce himself in a minute here). Since we wrote that article as a literal dialogue, we thought it would be fun to also record ourselves performing the parts we wrote for ourselves and that is what we bring to you on this very special edition of New Things Under the Sun. During this podcast, you'll hear two voices - mine and Tamay's - as we perform our debate about the potential for explosive economic growth after we develop sufficiently advanced artificial intelligence.Then, after about an hour, our performance of the article will wrap up, but we keep talking. For another forty minutes, we talk a bit about policy implications of artificial intelligence, the prospects for spooky smart AI, and how our own views have evolved on this topic.If you want to read our article instead of listening, head over to here. If you've already read that and just want to hear some of our extra commentary, jump to about one hour into this podcast. Special thanks to Clara Collier, Asterisk's Editor-in-Chief, for reaching out to us and giving us this opportunity.

Hallo und herzlich Willkommen zu einer weiteren Podcastepisoe von "take a deep BREATH" der Podcast für mehr Klarheit, Gelassenheit und ein erfüllteres Leben.  In der heutigen Folge spreche ich mit Tamay Jentjens über Emotionen, Grenzen, die Kraft des Nein-Sagens, über unsere persönliche Entwicklung und wie wir raus aus dem Kopf - wieder rein in den Körper kommen. Wir wünschen dir ganz viel Freude bei der heutigen Folge.  Tamay findest du hier:  https://tamay-jentjens.com/ oder auf Instagram: https://www.instagram.com/tamayjentjens/ In meinen Newsletter kannst du dich hier eintragen:  https://timbiegert.com/#newsletter

⚡lots@getalby.com      Https://LOTS.ittybitty.tipsMy guest today takes the overwhelm out of social media for small businesses. It can be an integral and money-making part of your marketing mix. She's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle.  Her company W2S Marketing,  or Where 2 Start Marketing, was created especially to serve small businesses. Social Media doesn't have to be hard, ineffective, or time-consuming. I am excited to chat with Tamay Shannon Find Tamay:http://w2smarketing.com/contact/Sign up for a quick call for 3 actions you can take on your social media to improve your business results. Find Out More at https://www.thelotsproject.comOr https://linktree.com/thelotsproject Don't Hate Money. Grab the Fold card and get free satoshis using my link to sign up and request the card.  https://use.foldapp.com/r/FANEWETX Get Outdoors and Do Some Camping (get $10 off your first visit), or use some extra space to set up a side income. Check out Hipcamp: https://hipcamp.com/i/briana439fae Amazon Affiliate General Link: https://amzn.to/3CuqCCRCheck out my Renegade Linktree at https://lots.ittybitty.tipsSupport this podcast at — https://redcircle.com/the-lots-project/donationsAdvertising Inquiries: https://redcircle.com/brands

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Conceding a short timelines bet early, published by Matthew Barnett on March 16, 2023 on LessWrong. Last year I bet some people about short AI timelines. While I don't think I've lost the bet yet, I think it's clear at this point that I will lose with high probability. I've outlined the reasons why I think that in a retrospective here. Even if I end up winning, I think it will likely be the result of a technicality, and that wouldn't be very interesting. Because of my personal preference for settling this matter now without delay, I have decided to take the step of conceding the bet now. Note however that I am not asking Tamay to do the same. I have messaged the relevant parties and asked them to send me details on how to pay them. I congratulate Nathan Helm-Burger and Tomás B. for taking the other side of the bet. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Conceding a short timelines bet early, published by Matthew Barnett on March 16, 2023 on LessWrong. Last year I bet some people about short AI timelines. While I don't think I've lost the bet yet, I think it's clear at this point that I will lose with high probability. I've outlined the reasons why I think that in a retrospective here. Even if I end up winning, I think it will likely be the result of a technicality, and that wouldn't be very interesting. Because of my personal preference for settling this matter now without delay, I have decided to take the step of conceding the bet now. Note however that I am not asking Tamay to do the same. I have messaged the relevant parties and asked them to send me details on how to pay them. I congratulate Nathan Helm-Burger and Tomás B. for taking the other side of the bet. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Textile artist Kirstie Macleod shares her life in fabric & thread on Stitchery Stories embroidery podcast today! She shares her fascinating story of The Red Dress. It's an amazing project which has enabled unheard women, many in poverty, vulnerable through trauma and abuse, to share their personal stories, using the universal language of embroidery and hand stitching. Kirstie had the idea for this dress back in 2009, and we chat about how the project and the dress has evolved over those years. Connections and contrasts, empowerment & celebration, this is a story packed full of emotions.  For this episode... View Show Notes, Links & Examples of The Red Dress at https://stitcherystories.com/thereddress Visit: https://reddressembroidery.com/ Look: https://www.instagram.com/thereddress_embroidery/ Like: https://www.facebook.com/thereddressembroidery Other places & people we mentioned: Tamay in Vietnam  https://reddressembroidery.com/Ly-Ta-May-Tamay  The FanSina artisans in St Catherines, Sinai, Egypt  Traces of Sisterhood, Salon Akademii Gallery, Warsaw, Poland  https://salonakademii.asp.waw.pl  ‘SPEAKING OUT', an exhibition dedicated to and co-produced by women survivors of conflict-based sexual violence, with the War Childhood Museum in Sarajevo, Bosnia & Herzegovina.  https://warchildhood.org/speaking-out-exhibition-experiences-of-crsv-survivors-and-children-born-of-war/ Preston Park Museum, Yarm, Stockton-on-Tees  https://prestonparkmuseum.co.uk/  

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Revisiting algorithmic progress, published by Tamay on December 13, 2022 on LessWrong. How much progress in ML depends on algorithmic progress, scaling compute, or scaling relevant datasets is relatively poorly understood. In our paper, we make progress on this question by investigating algorithmic progress in image classification on ImageNet, perhaps the most well-known test bed for computer vision. Using a dataset of a hundred computer vision models, we estimate a model—informed by neural scaling laws—that enables us to analyse the rate and nature of algorithmic advances. We use Shapley values to produce decompositions of the various drivers of progress computer vision and estimate the relative importance of algorithms, compute, and data. Our main results include: Algorithmic progress doubles effective compute budgets every ~9 months (95% CI: 4 months to 25 months) Roughly, progress in image classification has been ~40% due to the scaling of compute, ~40% due to better algorithms, ~10% due to scaling data The majority (>75%) of algorithmic progress is compute-augmenting (not data-augmenting) In our work, we revisit a question previously investigated by Hernandez and Brown (2020), which had been discussed on LessWrong by Gwern, and Rohin Shah. Hernandez and Brown (2020) re-implement 15 open-source popular models and find a 44-fold reduction in the compute required to reach the same level of performance as AlexNet, indicating that algorithmic progress outpaces the original Moore's law rate of improvement in hardware efficiency, doubling effective compute every 16 months. A problem with their approach is that it is sensitive to the exact benchmark and threshold pair that we choose. Choosing easier-to-achieve thresholds makes algorithmic improvements look less significant, as the scaling of compute easily brings early models within reach of such a threshold. By contrast, selecting harder-to-achieve thresholds makes it so that algorithmic improvements explain almost all of the performance gain. This is because early models might need arbitrary amounts of compute to achieve the performance of today's state-of-the-art models. We show that the estimates of the pace of algorithmic progress with this approach might vary by around a factor of ten, depending on whether an easy or difficult threshold is chosen. Our work sheds new light on how algorithmic efficiency occurs, namely that it primarily operates through relaxing compute-bottlenecks rather than through relaxing data-bottlenecks. It further offers insight on how to use observational (rather than experimental) data to advance our understanding of algorithmic progress in ML. That said, our estimates is consistent with Hernandez and Brown (2020)'s estimate that algorithmic progress doubles the amount of effective compute every 16 months, as our 95% confidence interval ranges from 4 to 25 months. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Revisiting algorithmic progress, published by Tamay on December 13, 2022 on LessWrong. How much progress in ML depends on algorithmic progress, scaling compute, or scaling relevant datasets is relatively poorly understood. In our paper, we make progress on this question by investigating algorithmic progress in image classification on ImageNet, perhaps the most well-known test bed for computer vision. Using a dataset of a hundred computer vision models, we estimate a model—informed by neural scaling laws—that enables us to analyse the rate and nature of algorithmic advances. We use Shapley values to produce decompositions of the various drivers of progress computer vision and estimate the relative importance of algorithms, compute, and data. Our main results include: Algorithmic progress doubles effective compute budgets every ~9 months (95% CI: 4 months to 25 months) Roughly, progress in image classification has been ~40% due to the scaling of compute, ~40% due to better algorithms, ~10% due to scaling data The majority (>75%) of algorithmic progress is compute-augmenting (not data-augmenting) In our work, we revisit a question previously investigated by Hernandez and Brown (2020), which had been discussed on LessWrong by Gwern, and Rohin Shah. Hernandez and Brown (2020) re-implement 15 open-source popular models and find a 44-fold reduction in the compute required to reach the same level of performance as AlexNet, indicating that algorithmic progress outpaces the original Moore's law rate of improvement in hardware efficiency, doubling effective compute every 16 months. A problem with their approach is that it is sensitive to the exact benchmark and threshold pair that we choose. Choosing easier-to-achieve thresholds makes algorithmic improvements look less significant, as the scaling of compute easily brings early models within reach of such a threshold. By contrast, selecting harder-to-achieve thresholds makes it so that algorithmic improvements explain almost all of the performance gain. This is because early models might need arbitrary amounts of compute to achieve the performance of today's state-of-the-art models. We show that the estimates of the pace of algorithmic progress with this approach might vary by around a factor of ten, depending on whether an easy or difficult threshold is chosen. Our work sheds new light on how algorithmic efficiency occurs, namely that it primarily operates through relaxing compute-bottlenecks rather than through relaxing data-bottlenecks. It further offers insight on how to use observational (rather than experimental) data to advance our understanding of algorithmic progress in ML. That said, our estimates is consistent with Hernandez and Brown (2020)'s estimate that algorithmic progress doubles the amount of effective compute every 16 months, as our 95% confidence interval ranges from 4 to 25 months. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Is AI Progress Impossible To Predict?, published by alyssavance on May 15, 2022 on LessWrong. People seem to be continually surprised, over and over again, by the new capabilities of big machine learning models, such as PaLM, DALL-E, Chinchilla, SayCan, Socratic Models, Flamingo, and Gato (all in the last two months!). Luckily, there is a famous paper on how AI progress is governed by scaling laws, where models predictably get better as they get larger. Could we forecast AI progress ahead of time by seeing how each task gets better with model size, draw out the curve, and calculate which size model is needed to reach human performance? I tried this, and apparently the answer is no. In fact, whether AI has improved on a task recently gives us exactly zero predictive power for how much the next model will improve on the same task. The sheer consistency of this unpredictability is remarkable, almost like a law of statistical thermodynamics. No matter what I plug in, the correlation is always zero! For example, does a task improving rapidly when you go from a small model to a 7B parameter model predict similar improvement when you go from a 7B model to Gopher's 280B? No: I tried making the same graph with MMLU tasks instead of BIG-bench, same result: What about DeepMind's new Chinchilla? Did rapid improvement of a task on Gopher predict continued improvement going from Gopher to Chinchilla? Nope: What about Google's PaLM? The full results of PaLM on BIG-bench don't seem to have been published yet, so I couldn't directly compare to Chinchilla or Gopher, but the PaLM paper described an 8B parameter model, a 62B model and a 540B model. Did fast improvement from 8B to 62B predict improvement from 62B to 540B? Not really, R^2 = 0.04: PaLM also provides data on 30 different NLU benchmark tasks. Plot those and you get the same thing: The results here seem pretty clear, but I'm honestly not sure how to interpret them. Before trying this, I assumed you would find that some tasks are "easy" and scale quickly, while others are "hard" and scale slowly. But that would get you high predictability, since fast progress between one pair of models would imply that the task is inherently "easy", and predict (perhaps with some noise) fast progress on the next pair. I didn't see that. You could also have a theory where tasks scaled similarly (all are of comparable "difficulty"), but there was some noise between model training runs, so that task performance on any given run would bounce up and down around some "true" average value. (Since if you did badly on one run, you'd expect to regress to the mean, and do unusually well on the next.) But I didn't see that either. The two effects (some tasks being intrinsically easier, and individual model runs being noisy) could also cancel out, since one implies a positive correlation and the other implies a negative one... but it seems unlikely that they would exactly cancel every time! Is AI task performance a type of submartingale, like a stock market index that goes up over time, but where each particular movement is intrinsically unpredictable? Maybe we can compare it to the growth in company profits, where the literature says that companies might grow slowly or quickly, but whether a company has grown fast recently has zero predictive power for future growth. I guess if we knew what we were doing, it wouldn't be called research. EDIT: By request, here's a Google sheet with the raw data, copy-pasted from the Gopher, PaLM and Chinchilla papers: EDIT 2: Several people suggested using logits instead of raw percentages. I tried that with the Gopher numbers, still got zero correlation: EDIT 3: Tamay noted that if you try to predict 7B Gopher from 1B Gopher, you get a negative correlation: If the models become small enough, maybe this means that scale is...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Is AI Progress Impossible To Predict?, published by alyssavance on May 15, 2022 on LessWrong. People seem to be continually surprised, over and over again, by the new capabilities of big machine learning models, such as PaLM, DALL-E, Chinchilla, SayCan, Socratic Models, Flamingo, and Gato (all in the last two months!). Luckily, there is a famous paper on how AI progress is governed by scaling laws, where models predictably get better as they get larger. Could we forecast AI progress ahead of time by seeing how each task gets better with model size, draw out the curve, and calculate which size model is needed to reach human performance? I tried this, and apparently the answer is no. In fact, whether AI has improved on a task recently gives us exactly zero predictive power for how much the next model will improve on the same task. The sheer consistency of this unpredictability is remarkable, almost like a law of statistical thermodynamics. No matter what I plug in, the correlation is always zero! For example, does a task improving rapidly when you go from a small model to a 7B parameter model predict similar improvement when you go from a 7B model to Gopher's 280B? No: I tried making the same graph with MMLU tasks instead of BIG-bench, same result: What about DeepMind's new Chinchilla? Did rapid improvement of a task on Gopher predict continued improvement going from Gopher to Chinchilla? Nope: What about Google's PaLM? The full results of PaLM on BIG-bench don't seem to have been published yet, so I couldn't directly compare to Chinchilla or Gopher, but the PaLM paper described an 8B parameter model, a 62B model and a 540B model. Did fast improvement from 8B to 62B predict improvement from 62B to 540B? Not really, R^2 = 0.04: PaLM also provides data on 30 different NLU benchmark tasks. Plot those and you get the same thing: The results here seem pretty clear, but I'm honestly not sure how to interpret them. Before trying this, I assumed you would find that some tasks are "easy" and scale quickly, while others are "hard" and scale slowly. But that would get you high predictability, since fast progress between one pair of models would imply that the task is inherently "easy", and predict (perhaps with some noise) fast progress on the next pair. I didn't see that. You could also have a theory where tasks scaled similarly (all are of comparable "difficulty"), but there was some noise between model training runs, so that task performance on any given run would bounce up and down around some "true" average value. (Since if you did badly on one run, you'd expect to regress to the mean, and do unusually well on the next.) But I didn't see that either. The two effects (some tasks being intrinsically easier, and individual model runs being noisy) could also cancel out, since one implies a positive correlation and the other implies a negative one... but it seems unlikely that they would exactly cancel every time! Is AI task performance a type of submartingale, like a stock market index that goes up over time, but where each particular movement is intrinsically unpredictable? Maybe we can compare it to the growth in company profits, where the literature says that companies might grow slowly or quickly, but whether a company has grown fast recently has zero predictive power for future growth. I guess if we knew what we were doing, it wouldn't be called research. EDIT: By request, here's a Google sheet with the raw data, copy-pasted from the Gopher, PaLM and Chinchilla papers: EDIT 2: Several people suggested using logits instead of raw percentages. I tried that with the Gopher numbers, still got zero correlation: EDIT 3: Tamay noted that if you try to predict 7B Gopher from 1B Gopher, you get a negative correlation: If the models become small enough, maybe this means that scale is...

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Is AI Progress Impossible To Predict?, published by alyssavance on May 15, 2022 on LessWrong. People seem to be continually surprised, over and over again, by the new capabilities of big machine learning models, such as PaLM, DALL-E, Chinchilla, SayCan, Socratic Models, Flamingo, and Gato (all in the last two months!). Luckily, there is a famous paper on how AI progress is governed by scaling laws, where models predictably get better as they get larger. Could we forecast AI progress ahead of time by seeing how each task gets better with model size, draw out the curve, and calculate which size model is needed to reach human performance? I tried this, and apparently the answer is no. In fact, whether AI has improved on a task recently gives us exactly zero predictive power for how much the next model will improve on the same task. The sheer consistency of this unpredictability is remarkable, almost like a law of statistical thermodynamics. No matter what I plug in, the correlation is always zero! For example, does a task improving rapidly when you go from a small model to a 7B parameter model predict similar improvement when you go from a 7B model to Gopher's 280B? No: I tried making the same graph with MMLU tasks instead of BIG-bench, same result: What about DeepMind's new Chinchilla? Did rapid improvement of a task on Gopher predict continued improvement going from Gopher to Chinchilla? Nope: What about Google's PaLM? The full results of PaLM on BIG-bench don't seem to have been published yet, so I couldn't directly compare to Chinchilla or Gopher, but the PaLM paper described an 8B parameter model, a 62B model and a 540B model. Did fast improvement from 8B to 62B predict improvement from 62B to 540B? Not really, R^2 = 0.04: PaLM also provides data on 30 different NLU benchmark tasks. Plot those and you get the same thing: The results here seem pretty clear, but I'm honestly not sure how to interpret them. Before trying this, I assumed you would find that some tasks are "easy" and scale quickly, while others are "hard" and scale slowly. But that would get you high predictability, since fast progress between one pair of models would imply that the task is inherently "easy", and predict (perhaps with some noise) fast progress on the next pair. I didn't see that. You could also have a theory where tasks scaled similarly (all are of comparable "difficulty"), but there was some noise between model training runs, so that task performance on any given run would bounce up and down around some "true" average value. (Since if you did badly on one run, you'd expect to regress to the mean, and do unusually well on the next.) But I didn't see that either. The two effects (some tasks being intrinsically easier, and individual model runs being noisy) could also cancel out, since one implies a positive correlation and the other implies a negative one... but it seems unlikely that they would exactly cancel every time! Is AI task performance a type of submartingale, like a stock market index that goes up over time, but where each particular movement is intrinsically unpredictable? Maybe we can compare it to the growth in company profits, where the literature says that companies might grow slowly or quickly, but whether a company has grown fast recently has zero predictive power for future growth. I guess if we knew what we were doing, it wouldn't be called research. EDIT: By request, here's a Google sheet with the raw data, copy-pasted from the Gopher, PaLM and Chinchilla papers: EDIT 2: Several people suggested using logits instead of raw percentages. I tried that with the Gopher numbers, still got zero correlation: EDIT 3: Tamay noted that if you try to predict 7B Gopher from 1B Gopher, you get a negative correlation: If the models become small enough, maybe this means that scale is...

ARE YOU HAPPY WITH YOUR SOCIAL MEDIA PRESENCE? On this episode we are joined by Tamay Shannon. Our discussion covers all things social media. We discuss: Why Your Social Media is Failing What is Content? Building Your Content Calendar For places to listen, places to connect on social media, to be a guest, collaborate with or sponsor DTE visit: https://linktr.ee/DisruptTheEveryday About Tamay Tamay is the owner of W2S Marketing, Where 2 Start Marketing, was created especially to serve small businesses. Social Media doesn't have to be hard, ineffective, or time-consuming. Tamay Shannon takes the overwhelm out of social media for small businesses. It can be an integral and money-making part of your marketing mix. She's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle.

Tamay Shannon quickly realized that it only takes someone else's faith in you to spark something good. Tamay now partners with entrepreneurs at the intersection of various marginalized identities to share their purpose in the world using social media. . Honey Shopping Savings: www.tinyurl.com/onyxhoney | How can you support our podcast? Here is how! Please visit: https://ko-fi.com/onyxqueenmedia . All donations will go directly to buying equipment and hiring of staff to expand our platform. Thank you so much for your continued support! Any reproduction, duplication, or distribution of The Queen's Lair in any form, is expressly prohibited. You MUST have written permission. The Queen's Lair Podcast may contain affiliate links and will earn a commission if you click through and make a purchase. Thank You! | Press inquiries: E-mail - info@onyxqueenmedia.com | © 2012-2022 OnyxQueen Media, LLC. All Rights Reserved --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/thequeenslair/support

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Projecting compute trends in Machine Learning, published by Tamay Besiroglu on March 7, 2022 on The AI Alignment Forum. Summary Using our dataset of milestone Machine Learning models, and our recent analysis of compute trends in ML, we project forward 70 years worth of trends in the amount of compute used to train Machine Learning models. Our simulations account for (a) uncertainty in estimates of the growth rates in compute usage during the Deep Learning (DL)-era and Pre-DL era, and (b) uncertainty over the ‘reversion date', i.e. the date when the current DL-era compute trend (with a ~6 month doubling time) will end and revert to the historically more common trend associated with Moore's law. Assuming a reversion date of between 8 to 18 years, and without accounting for algorithmic progress, our projections suggest that the median of Cotra 2020's biological anchors may be surpassed around August 2046 [95% CI: Jun 2039, Jul 2060]. This suggests that historical rates of compute scaling, if sustained briefly (relative to how long these trends have been around so far), could result in the emergence of transformative models. Our work can be replicated using this Colab notebook. Note: we present projections, not predictions. Our post answers the question of: “What would historical trends over the past 70 years when naively extrapolated forward imply about the future of ML compute?” It does not answer the question: “What should our all-things-considered best guess be about how much compute we should expect will be used in future ML experiments?” Introduction Recently, we put together a dataset of over a hundred milestone Machine Learning models, spanning from 1952 to today, annotated with the compute required to train them. Using this data, we produce simple projections of the amount of compute that might be used to train future ML systems. The question of how much compute we might have available to train ML systems has received some attention in the past, most notably in Cotra's Biological Anchors report. Cotra's report investigates TAI timelines by analyzing: (i) the training compute required for the final training run of a transformative model (using biological anchors), and (ii) the amount of effective compute available at year Y. This article replaces (ii) the compute estimate by projecting 70 years worth of trends in the amount of compute used to train Machine Learning models. Cotra's amount of effective compute available at year Y is broken down into forecasts of (a) compute cost, (b) compute spending, and (c) algorithimic progress. By contrast, we do not decompose the estimate, and rather project it on our previous investigation of training compute of ML milestone systems. This trend includes the willingness to spend over time including the reduced compute costs over time; however, it does not address algorithmic progress. We explicitly do not forecast the cost of compute or compute spending. In this post, we present projections based on previously observed trends and some basic insights about how long the current 6-month doubling time can be sustained. That is, our post answers the question of: what would current trends imply about the future if you naively extrapolate them forwards. One key reason we don't expect these projections to be particularly good predictions is that it seems likely that Moore's law might break down in some important way over the next few decades. We therefore might expect that that the doubling-time in compute usage, when the dollar-budgets to scale compute grow at the economic growth-rate, will be substantially longer than the historically common ~20-month doubling period. When will the current scaling trend revert back to Moore's law? In our recent analysis of compute trends in ML (Sevilla et al., 2022), we find that, since the advent o...

One of the most influential economics of innovation papers from the last decade is “Are Ideas Getting Harder to Find” by Bloom, Jones, Van Reenen, and Webb, ultimately published in 2020 but in earlier draft circulation for years. While the paper is ostensibly concerned with testing a prediction of some economic growth models, it's broader fame is attributable to it's documentation of a striking fact: across varied domains, the R&D efforts necessary to eke out technological improvement keep getting higher. Let's take a look at their evidence, as well as some complementary evidence from other papers.This podcast is a read through of the (initial version of the) article Innovation (mostly) gets harder, published on New Things Under the Sun.Articles mentioned:Bloom, Nicholas, Charles I. Jones, John Van Reenen, and Michael Webb. 2020. Are Ideas Getting Harder to Find? American Economics Review 110(4): 1104-1144. https://doi.org/10.1257/aer.20180338Besiroglu, Tamay. 2020. Are models getting harder to find? Masters Thesis, University of Cambridge. https://www.tamaybesiroglu.com/projectsBoeing, Philipp, and Paul Hünermund. 2020. A global decline in research productivity? Evidence from China and Germany. Economics Letters 197: 109646. https://doi.org/10.1016/j.econlet.2020.109646Miyagawa, Tsutomu and Ishikawa Takayuki. 2019. On the Decline of R&D Efficiency. Research Institute of Economy, Trade and Industry discussion paper 19052. https://ideas.repec.org/p/eti/dpaper/19052.html

In der heutigen Folge spreche ich mit Tamay Jentjens über Heilung, Gedanken & Emotionen und darüber, wie du deinen wahren inneren Kern (wieder)findest. " Sodass du Glücklich und Lebendig bist " Tamay findest du unter: https://tamay-jentjens.com oder auf Instagram: @tamayjentjens Wir wünschen dir zahlreiche Erkenntnisse und jede Menge Spaß.

My guest, Tamay, has adopted an approach to business she refers to as "messy perfection." Find out what she means by that on this episode! She also thinks Social Media doesn't have to be hard, ineffective, or time-consuming. Tamay Shannon takes the overwhelm out of social media for small businesses. It can be an integral and money-making part of your marketing mix. She's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle.  Website: https://w2smarketing.com/  LinkedIn: https://www.linkedin.com/in/tamayshannon

Tamay Shannon runs a social media business, W2S Marketing, Where 2 Start Marketing, that was created especially to serve small businesses. Social Media doesn't have to be hard, ineffective, or time consuming. Tamay Shannon takes the overwhelm out of social media for small businesses and gives advice for Virtual Assistants in this episode. Social media can be an integral and money making part of your marketing mix. Tamay's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle.01:45 – Getting into social media 06:52 – Keeping up with social media 16:47 – Specialization 19:37 – Social media management vs marketing 22:12 – Charging for strategy and analytics 26:20 – Difficult clients 27:59 – Beware scope creep and other tips 32:57 – Advice for VAs in social media 36:10 – Always use the newest features 40:40 – TikTok for business 43:04 – Messy perfectionTamay's Website Connect with Tamay! InstagramLinkedIn Tools and Resources mentioned in the show Pew Research CenterAppsumo

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Some global catastrophic risk estimates, published by Tamay on the effective altruism forum. In October of 2018, I developed a question series on Metaculus related to extinction events spanning risks from nuclear war, bio-risk, risks from climate change and geo-engineering, Artificial Intelligence risk, and risks from nanotechnology failure modes. Since then, these questions have accrued nearly 2,000 predictions. Catastrophes were defined as a reduction in the human population of at least 10% in any period of 5 years or less. (Near) extinction is defined as an event that reduces the human population by at least 10% within 5 years, and by at least 95% within 25 years. Here's a summary of the results as they stand today. Global catastrophic risk Chance of catastrophe by 2100 Chance of (near) extinction by 2100 Nuclear war 4.18% 0.29% Biotechnology or bioengineered pathogens 4.18% 0.17% Artificial Intelligence failure modes 3.99% 1.88% Climate change or geo-engineering 1.71% 0.02% Nanotechnology failure modes 0.57% n/a These predictions are generated by aggregating forecasters' individual predictions based on their track records. Specifically, the predictions are weighted by a function of the forecasters' level of 'skill', where 'skill' is estimated with data on relative performance on a number (typically many hundreds) of resolved forecasts. If we assume that these events are independent, the predictions suggest that there's at least a 13.85% chance of catastrophe, and a 2.34% chance of (near) extinction by the end of the century. Admittedly, independence is likely to be an inappropriate assumption, since, for example, some catastrophes could exacerbate other global catastrophic risks. Moreover, the risks might higher be higher than these numbers suggest, given that there are other sources of global catastrophic risk besides the ones in the list. Interestingly, the predictions indicate that although nuclear risk and bioengineered pathogens are most likely to result in a major catastrophe, an AI failure mode is by far the biggest source of extinction-level risk—it is at least 6-times more likely to cause near extinction than the second most likely event to do so (namely, nuclear war). Links to all the questions on which these predictions are based may be found here. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Social Media plays an integral part of how marketers can get their message out to the public. When it works, social media is a great tool to reach the masses. But we've seen several times when social media can backfire and may go down. How we use social media in our overall marketing strategies is a really important topic to cover and that's why Tamay Shannon is our guest today to help us uncover some strategies and ideas on how to use social media to our benefit. About Tamay: Tamay Shannon founded W2S Marketing, that stands for Where 2 Start Marketing. She created W2S Marketing especially to serve small businesses. Social Media doesn't have to be hard, ineffective, or time-consuming. Tamay takes the overwhelm out of social media for small businesses and shows how social media can be an integral and money-making part of your marketing mix. She's worked with brands such as Kim Coles, Government Contractors Association, and Garnish & Gather. She's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle. Go to https://w2smarketing.com/year-strategy-action-guide/ to get your "Propel your Growth" action guide today as a free gift from Tamay! Find out more about Tamay on IG @W2SMarketing and by going to her website, www.w2smarketing.com

Loslassen im Alltag. Seit 6 Jahren betreibt Tamay Jentjens erfolgreich seinen Youtube Channel und arbeitet mittlerweile auch als Coach. Auf seinem Kanal gibt er Tipps für den richtigen Umgang mit Emotionen, dem Loslassen von Spannung und leitet auch Beweglichkeitstraining an. Er hilft Menschen dabei, den Geist wieder mit ihrem Körper zu verbinden. Mit 13 Jahren wurde ihm eine Wachstumsstörung diagnostiziert, weshalb er keinen Sport mehr machen sollte. Tamay suchte Wege um sich selbst zu heilen. Psychedelika halfen ihm dabei, seinen Geist zu verstehen und negative Gefühle loszulassen. Heute beschäftigt er sich viel mit der Integration dieser Erfahrungen und gibt auch Seminare zu dem Thema. In der 63. Episode des SET & SETTING Podcasts erzählt Tamay Jentjens von seiner persönlichen Entwicklung und wie er zur Glückseligkeit gefunden hat. Dabei erklärt er, wo Emotionen im Körper gespeichert werden und wie man diese durch verschiedene Techniken lösen kann. Außerdem berichtet er, wie Psychedelika ihn mehr in die Verbindung mit sich selbst brachten. Viel Spaß mit dieser Episode! Unterstütze das Projekt auf Patreon: https://bit.ly/2HEiyWh Infos zum nächsten Set&Setting Retreat: https://www.setandsetting-retreat.com/ Diskutiere mit auf Facebook in der Set&Setting Community: https://bit.ly/3DT8dht Trage dich für unseren Newsletter ein: https://www.setandsetting.de/newsletter/ Wenn dir die Folge gefallen hat, dann würde ich mich freuen, wenn du uns eine 5-Sterne-Bewertung, einen Kommentar bei iTunes und natürlich ein Abo geben könntest! Teile den Podcast mit deinen Freunden um die psychedelische Revolution voranzutreiben! Ich danke dir vielmals! Dein Jascha von Set&Setting Erfahre mehr über das Projekt Set&Setting: YouTube: https://bit.ly/2SDL4Kg Website: https://bit.ly/32VngXX Instagram: https://bit.ly/3dsv3Pa Coaching: https://www.jascharenner.com/ Anfragen und Feedback gerne an: info@setandsetting.de Erfahre mehr über: Tamay Jentjens Youtube: https://www.youtube.com/c/TamayJentjens Webseite: https://tamay-jentjens.com Instagram: https://www.instagram.com/tamayjentjens/

Let's face it...social media marketing can be overwhelming.But it doesn't have to be. Ask Tamay Shannon, owner of W2S Marketing, who joins me for episode 58 of Marketing and Sales, Over Cocktails.She has helped small businesses achieve social media success through creating a solid plan, filled with consistency, and learning how to navigate through the ever-changing nature of the platforms, without feeling engulfed in the swamp of it all.On a mission to take away this "overwhelm" for small businesses, Tamay has ten years of experience in her craft. Inspired by her mom, she took the leap and started her own business after realizing she had a gift for helping people navigate the tricky world of social media. She says, "So much of social media overwhelm comes from not having a solid strategy. People tend to throw things at the wall to see what sticks, and this can lead people to burnout and not see success."Tamay suggests getting out there with what she calls “messy perfection”. It's better to test your strategy and then refine it rather than not have a strategy at all. Consistency is also important. It's impossible to tell what will go viral, but if you're creating and posting consistently, your chances of something catching fire certainly increases. She also discusses some great free tools you can use that can help you create relevant content around what your audience is looking for.  What's Inside:●       The importance of having a social media marketing strategy.●       Why you should be consistent in creating and sharing content.●       Navigating ever-changing platforms and why you might want to think about where you direct your audience.●       Tools to help you create content based on what your audience is searching for.  Mentioned in this Episode:MarketingandSalespodcast.comW2S MarketingTamay Shannon on LinkedInW2S Marketing on Instagram 

What's up Gang! Part II of our Summer Series! We are back on the couch with Social Media Tamay Shannon as she discusses Relax, Restore, Rejuvenation and Travel. She also provides insight on the importance of Rest with Social Media.References:Follow Tamay on IG: https: @w2smarketingVisit her website: www.w2smarketing.comOn FB: W2S MarketingTwitter: @where2startFollow Dr. Dawn on IG: @drdawnonthereal @thethickfitholisticAnd join our FB group: The Sane GangWebsites: www.onepps.com  www.halainc.orgClubhouse: @drdawnonthereal

There is no doubt that the people who transitioned in the past year to the digital modern business and impact world are those who are most successful. Tamay Shannon is a Business Marketing and Social Specialist with expertise in online marketing and a passion for creativity, and she joins me today to discuss making an impact in the digital space. You can find show notes and more information by clicking here: https://www.bobdepasquale.com/podcast/49

76: In the Keys to Social Media Marketing, Tamay Shannon, the Founder of W2S Marketing, joins host William Glass to discuss the common pitfalls of social media marketing and how to maximize your marketing investments. You’ll hear tactical advice on how to effectively use social media. Shannon covers the myths of social media and how to avoid the common mistakes most business owners make. We also cover Clubhouse marketing and how you can avoid the “tomfoolery” and charlatans that are abundant on the platform. Key Takeaways: The myths of social media marketing business owners believe How to avoid the common pitfalls of social media marketing Building a personal brand vs. a business brand How to maximize your marketing efforts About Tamay Shannon & W2S Marketing: W2S Marketing, Where 2 Start Marketing, was created especially to serve small businesses. Social Media doesn't have to be hard, ineffective, or time-consuming. Tamay Shannon takes the overwhelm out of social media for small businesses. It can be an integral and money-making part of your marketing mix. She worked with brands such as Kim Coles, Government Contractors Association, and Garnish & Gather. She's been in business for over 10 years helping small businesses get the brand exposure they deserve without the hassle. Website: https://w2smarketing.com/ Instagram: https://www.instagram.com/w2smarketing/ Disclaimer: This podcast is for information only. Always seek professional investing and legal advice. __ Visit SiliconAlleyPodcast.com - Instagram: http://bit.ly/SIliconAlleyIG - LinkedIn: http://bit.ly/SiliconAlleyLI - YouTube: http://bit.ly/SiliconAlleyYouTube Theme music is Million Voices by Brett Miller - www.brettmillerofficial.com Ostrich is a personal finance app that uses the power of positive social accountability to help you define, set, & achieve your financial goals. Sign Up for Ostrich at https://www.getostrich.com Silicon Alley is a Financial Glass Production --- Send in a voice message: https://anchor.fm/silicon-alley/message Support this podcast: https://anchor.fm/silicon-alley/support

Social Media Strategist Tamay brings us the real on social media and her journey as an entrepreneur in the field.  She provides insight on the impacts of too much social media, doom scrolling, and she provides practical tips on management.  References:Follow Tamay on IG: https: @w2smarketingVisit her website: www.w2smarketing.comOn FB: W2S MarketingTwitter: @where2startFollow Dr. Dawn on IG: @drdawnonthereal @thethickfitholisticAnd join our FB group: The Sane GangWebsites: www.onepps.com  www.halainc.orgClubhouse: @drdawnonthereal

Tamay Shannon is the Social Media Strategist for W2S Marketing and in her Talks With Thompson she discusses entrepreneurship and so much more.

Tamay korban pesach WhatsApp: https://chat.whatsapp.com/FXa7oyBAXeQ48vkXswmxz2 Sefaria: https://www.sefaria.org.il/Pesachim.81b?lang=he Email: sruli@babbleontalmud.com

This episode is all about getting up to speed in this growing digital economy. Tamay Shannon of Where 2 Start Marketing is stopping by, and we’re going to cover a wide array of topics that can help you regardless of where you are on your entrepreneurial journey. --Subscribe to the podcast and follow the show on Instagram and Facebook, @jaded80sbaby.Support the show (https://www.paypal.me/jaded80sbaby)

„Wir sind nicht nur Social Media und Erfolg“, das hat Tamay irgendwann schmerzhaft erfahren. Rückenschmerzen und viele andere kleine Leiden im Körper brachten ihn zu der Entscheidung, etwas zu verändern. Denn wir haben nur diesen einen Körper und dürfen diesem auch Gutes tun. Durch Meditation und viel Körperarbeit ist Tamay jetzt an dem Punkt, anderen Menschen zu helfen aus dem Rad des Vergleichens auszusteigen und wieder zu sich zu kommen - in den eigenen Körper. Er steht für Mindful Embodiment und bringt das mit Leichtigkeit und ganz viel Erfahrung in die Welt. Also CHVMP, wenn auch du das Gefühl hast, dich zu sehr im Außen zu suchen und vielleicht gar nicht weißt, wieso, dann ist das die richtige Folge für dich. Der “Hauptsache, du machst”-Podcast ist der Podcast für alle, die ihre Ziele verfolgen - und manchmal einfach strugglen! Ich zeige dir anhand meiner persönlichen Erfahrungen, meines Mindsets und spannenden Interviews mit erfolgreichen Persönlichkeiten, wie auch Du deine Ziele erreichen kannst. Mein Podcast hilft dir dabei, dich nicht mehr zu verstecken und endlich der CHVMP zu sein, der in dir steckt. Egal, ob du nun Unternehmer werden möchtest, noch im Studium steckst oder dich gänzlich neu ausrichten möchtest - du gehst deinen Weg, und wenn du magst, begleite ich dich ein Stück. “Feedback ist das Frühstück der Gewinner”, sagte einst einer meiner Mentoren zu mir. Das heißt: Wenn dir der Podcast gefällt, du Ideen oder Anregungen (auch für Themen) hast, dann sei nicht schüchtern und immer her damit! Dieser Podcast lebt davon, dass ich im ständigen Austausch mit den Zuhörer*innen (also dir) stehe - ich möchte wissen, was dich bewegt und wie du denkst. Vergiss den Daumen hoch nicht, kommentier immer gern und lass mir im allerbesten Fall auch noch ein Abo da! In diesem Sinne eine erfolgreiche Restwoche! Und denk immer dran: Hauptsache, du machst! ►► Tamay bei IG: @tamayjentjens https://www.instagram.com/tamayjentjens/ ►► Tamay bei YT: https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA ►► Tamays Website: https://tamay-jentjens.com ►► Folgt mir für Live-Talks auf Clubhouse: @heribert ►► Folgt mir für Daily Content bei IG: @christophheribert https://www.instagram.com/christophheribert/ ►► covercredits: @gloria.p.gehrke https://www.instagram.com/gloria.p.gehrke/

RETURNING BACK, to the podcast from (CONFESSIONS OF A DENTAL ASSISTANT - GEEZUS EP. 12) on YOUTUBE, she has completely gone rogue and off of social media, she has changed her lifestyle and habits to better herself as a person, and is ready to share some hot tea! with her *dating life* ! tune in and find out! --- Support this podcast: https://podcasters.spotify.com/pod/show/george-mora/support

Tamay Schimang - Sich mit Prozessen zu beschäftigen ist lästig und doch sind effiziente Prozesse für jede und jeden wichtig. In dieser Folge besprechen wir mit Prozessexperten Tamay Schimang, wie man am besten in das Prozessmanagement einstiegt. Wie identifiziere, implementiere und optimiere ich juristische Prozesse? Gibt es auch studentische Prozesse, die verbessert werden können? Dabei gibt uns Tamay konkrete Beispiele für den studentischen Alltag und auch für die Tätigkeiten in der Kanzlei an die Hand. Zuletzt sprechen wir über die Visualisierung von Recht, warum sie im Studium sinnvoll ist und warum wir diese Fähigkeiten nicht im beruflichen Alltag vergessen sollten.  Das und mehr besprechen wir in der neuen Folge Talking Legal Tech! Viel Spaß! Tamay Schimang auf LinkedIn BIldkartenmethode: http://www.gappbridging.com/index.php/en/die-bildkartenmethode Liquid Legal Institute: https://www.liquid-legal-institute.com/ Whitepaper Liqiuid Legal institute: https://www.liquid-legal-institute.com/about-lli/ Lean Six Sigma: https://en.wikipedia.org/wiki/Lean_Six_Sigma Business Process Notation 2.0: https://www.omg.org/spec/BPMN/2.0/ HPI Business Process Modeling Kurs: https://open.hpi.de/courses/bpm2019 Decision modeling: https://www.bpminstitute.org/resources/articles/role-decision-modeling-business-decision-management CLARIUS.LEGAL: https://clarius.legal/ TALKING LEGAL TECH wird heute ein Jahr alt! Ihr wollt uns unterstützen? ⬇️ Dann folgt uns gerne auf unseren Social Media Kanälen! (Instagram; Facebook; LinkedIn; Twitter) Und bewertet uns gerne auf Apple Podcast! Hier

Einer meiner absoluten Lieblingsgäste ist zurück bei Radio Tiefsinn: Tamay Jentjens. Tamay ist Coach und Experte im Thema Mind-Body Transformation, hat 80.000 Abonnenten auf Youtube und generell eine große Inspiration; ich liebe die Unterhaltungen mit ihm. Unserem Stil treu fackeln wir nicht lange und gehen direkt tief in folgende Fragen und Themen:

Wer ist Tamay? Tamay ist DER Mobilitycoach und Biomechaniktrainer schlechthin. Nicht weniger als 95`000 YouTube Abonnenten holten sich die letzten Jahre tausende kostenlose Tipps bei Tamay – unter anderem auch ich. Mehrere 1000 Personen absolvierten sein Online Programm „Mobilityroutine“. Tamay war jedoch in früheren Tagen alles andere als geschmeidig. Plattfüsse, Rücken-und Schulterschmerzen, sowie Nackenverspannungen prägten seinen Alltag. Doch er fand Tools und Hacks welche es ihm ermöglichten, alle Beschwerden loszuwerden – obwohl zuvor nichts funktioniert hatte – weder bei Ärzten noch bei Physiotherapeuten! Am 05.Juni.2019 veröffentlichte Tamay auf seinem YouTube Channel ein Video und teilte seiner Community mit, dass er einen neuen Weg einschlagen wird. Was ist passiert? Sein Ego trieb in zu immer mehr Erfolg. Er hatte Geld, einen guten Körper, ein eigenes Unternehmen und viel Ansehen! Businessclass Flüge, 5 Sterne Hotels, Traumstrände..... und innere Leere! Er hatte im Aussen so gut wie alles doch das wahre Glück blieb im verwehrt. Tamay realisierte, dass er den Blick von aussen nach innen drehen muss!!! Er hatte den Mut Schattenarbeit zu betreiben, limitierende Glaubenssätze aufzulösen, seine Programmierungen zu beobachten und fand eine ganz tiefe Connection zu sich selbst – er schaffte es, Body, Mind und Spirit zu vereinen und eröffnete sich dadurch eine neue Welt! Tamay ist ein Master in diesen Bereichen! Deshalb ist es für mich eine unbeschreibliche Ehre, einer der authentischsten Menschen bei mir auf dem Podcast zu Gast zu haben. [Homepage von Tamay](https://tamay-jentjens.com) [Instagram von Tamay](https://www.instagram.com/tamayjentjens/) [Tamay auf YouTube](https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA) [HeadCoach Homepage ](https://www.headcoach.ch) [HeadCoach Instagram](https://www.instagram.com/headcoach_glenn_meier/) [HeadCoach Facebook](https://www.facebook.com/HeadCoach-Glenn-Meier-978056392360248/) [HeadCoach auf YouTube](https://www.youtube.com/channel/UCIYqsdPtqGsnJmZHF1dPwaA) Mehr Podcasts für dich [Auf HeadCoach](https://www.headcoach.ch/#podcast) [Auf iTunes](https://podcasts.apple.com/us/podcast/headcoach-radio-podcast/id1383672579) [Auf Spotify](https://open.spotify.com/show/0In5lBZAtqQALQoIwPkTae?si=MBCI5B1rRdawRhpx6WpCkQ) [Kostenlose 8-Punkte-Champions-Morgenroutine](https://www.headcoach.ch/#newsletter) [Das Championsprojekt- Starte JETZT durch](https://www.headcoach.ch/shop) [Du willst dich, deine Performance und dein Mindset auf das nächste Level bringen](https://www.headcoach.ch/#headcoaching

Wer ist Tamay? Tamay ist DER Mobilitycoach und Biomechaniktrainer schlechthin. Nicht weniger als 95`000 YouTube Abonnenten holten sich die letzten Jahre tausende kostenlose Tipps bei Tamay – unter anderem auch ich. Mehrere 1000 Personen absolvierten sein Online Programm „Mobilityroutine“. Tamay war jedoch in früheren Tagen alles andere als geschmeidig. Plattfüsse, Rücken-und Schulterschmerzen, sowie Nackenverspannungen prägten seinen Alltag. Doch er fand Tools und Hacks welche es ihm ermöglichten, alle Beschwerden loszuwerden – obwohl zuvor nichts funktioniert hatte – weder bei Ärzten noch bei Physiotherapeuten! Am 05.Juni.2019 veröffentlichte Tamay auf seinem YouTube Channel ein Video und teilte seiner Community mit, dass er einen neuen Weg einschlagen wird. Was ist passiert? Sein Ego trieb in zu immer mehr Erfolg. Er hatte Geld, einen guten Körper, ein eigenes Unternehmen und viel Ansehen! Businessclass Flüge, 5 Sterne Hotels, Traumstrände..... und innere Leere! Er hatte im Aussen so gut wie alles doch das wahre Glück blieb im verwehrt. Tamay realisierte, dass er den Blick von aussen nach innen drehen muss!!! Er hatte den Mut Schattenarbeit zu betreiben, limitierende Glaubenssätze aufzulösen, seine Programmierungen zu beobachten und fand eine ganz tiefe Connection zu sich selbst – er schaffte es, Body, Mind und Spirit zu vereinen und eröffnete sich dadurch eine neue Welt! Tamay ist ein Master in diesen Bereichen! Deshalb ist es für mich eine unbeschreibliche Ehre, einer der authentischsten Menschen bei mir auf dem Podcast zu Gast zu haben. [Homepage von Tamay](https://tamay-jentjens.com) [Instagram von Tamay](https://www.instagram.com/tamayjentjens/) [Tamay auf YouTube](https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA) [HeadCoach Homepage ](https://www.headcoach.ch) [HeadCoach Instagram](https://www.instagram.com/headcoach_glenn_meier/) [HeadCoach Facebook](https://www.facebook.com/HeadCoach-Glenn-Meier-978056392360248/) [HeadCoach auf YouTube](https://www.youtube.com/channel/UCIYqsdPtqGsnJmZHF1dPwaA) Mehr Podcasts für dich [Auf HeadCoach](https://www.headcoach.ch/#podcast) [Auf iTunes](https://podcasts.apple.com/us/podcast/headcoach-radio-podcast/id1383672579) [Auf Spotify](https://open.spotify.com/show/0In5lBZAtqQALQoIwPkTae?si=MBCI5B1rRdawRhpx6WpCkQ) [Kostenlose 8-Punkte-Champions-Morgenroutine](https://www.headcoach.ch/#newsletter) [Das Championsprojekt- Starte JETZT durch](https://www.headcoach.ch/shop) [Du willst dich, deine Performance und dein Mindset auf das nächste Level bringen](https://www.headcoach.ch/#headcoaching

Wer ist Tamay? Tamay ist DER Mobilitycoach und Biomechaniktrainer schlechthin. Nicht weniger als 95`000 YouTube Abonnenten holten sich die letzten Jahre tausende kostenlose Tipps bei Tamay – unter anderem auch ich. Mehrere 1000 Personen absolvierten sein Online Programm „Mobilityroutine“. Tamay war jedoch in früheren Tagen alles andere als geschmeidig. Plattfüsse, Rücken-und Schulterschmerzen, sowie Nackenverspannungen prägten seinen Alltag. Doch er fand Tools und Hacks welche es ihm ermöglichten, alle Beschwerden loszuwerden – obwohl zuvor nichts funktioniert hatte – weder bei Ärzten noch bei Physiotherapeuten! Am 05.Juni.2019 veröffentlichte Tamay auf seinem YouTube Channel ein Video und teilte seiner Community mit, dass er einen neuen Weg einschlagen wird. Was ist passiert? Sein Ego trieb in zu immer mehr Erfolg. Er hatte Geld, einen guten Körper, ein eigenes Unternehmen und viel Ansehen! Businessclass Flüge, 5 Sterne Hotels, Traumstrände..... und innere Leere! Er hatte im Aussen so gut wie alles doch das wahre Glück blieb im verwehrt. Tamay realisierte, dass er den Blick von aussen nach innen drehen muss!!! Er hatte den Mut Schattenarbeit zu betreiben, limitierende Glaubenssätze aufzulösen, seine Programmierungen zu beobachten und fand eine ganz tiefe Connection zu sich selbst – er schaffte es, Body, Mind und Spirit zu vereinen und eröffnete sich dadurch eine neue Welt! Tamay ist ein Master in diesen Bereichen! Deshalb ist es für mich eine unbeschreibliche Ehre, einer der authentischsten Menschen bei mir auf dem Podcast zu Gast zu haben. [Homepage von Tamay](https://tamay-jentjens.com) [Instagram von Tamay](https://www.instagram.com/tamayjentjens/) [Tamay auf YouTube](https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA) [HeadCoach Homepage ](https://www.headcoach.ch) [HeadCoach Instagram](https://www.instagram.com/headcoach_glenn_meier/) [HeadCoach Facebook](https://www.facebook.com/HeadCoach-Glenn-Meier-978056392360248/) [HeadCoach auf YouTube](https://www.youtube.com/channel/UCIYqsdPtqGsnJmZHF1dPwaA) Mehr Podcasts für dich [Auf HeadCoach](https://www.headcoach.ch/#podcast) [Auf iTunes](https://podcasts.apple.com/us/podcast/headcoach-radio-podcast/id1383672579) [Auf Spotify](https://open.spotify.com/show/0In5lBZAtqQALQoIwPkTae?si=MBCI5B1rRdawRhpx6WpCkQ) [Kostenlose 8-Punkte-Champions-Morgenroutine](https://www.headcoach.ch/#newsletter) [Das Championsprojekt- Starte JETZT durch](https://www.headcoach.ch/shop) [Du willst dich, deine Performance und dein Mindset auf das nächste Level bringen](https://www.headcoach.ch/#headcoaching

Hast du dir schonmal die Frage gestellt warum du, obwohl du schon sooo viel innere Arbeit gemacht hast, trotzdem noch feststeckst? Warum dich immer wieder die gleichen alten Glaubenssätze und Muster einholen? Genau die Glaubenssätze, die dich davon abhalten dein freistes Selbst zu leben? Warum zur Hölle werden wir die einfach nicht los? Mein heutiger Gast Tamay Jentjens hat eine verdammt gute Antwort auf diese Frage gefunden. Tamay hilft Menschen durch praktische Tools und Strategien sich nachhaltig zu befreien. Sein Fokus dabei liegt darin den Körper mit auf diese Veränderung mitzunehmen. Diesen Ansatz nennt er “Mindful Embodiment”. Tamay ist sehr erfolgreicher Youtuber mit mehr als 75.000 Abonnenten und ein absoluter Experte rund um das Thema Mind-Body Transformation. Außerdem ist er richtig inspirierend, voller Tiefgang und einfach ein geiler Typ. Ich weiss, dass du unglaublich viel in dieser Folge für dich mitnehmen wirst. Wir sprechen unter anderem über folgende spannenden Themen:

Tamar Jentjens ist der Mobilitycoach von YouTube, der Erfolg war also zum Greifen nah. In diesem sehr persönlichen Interview teilt er mit uns wieso Geld und Erfolg nicht alles ist. Und nimmt uns mit auf seinen Weg zum Glück. Du erfährst: 1. Wie Tamay sein Glück fand 2. Welche Transformation waren nötig 3. Wie er zur Inner Work kam Tamays Instagram: https://www.instagram.com/tamayjentjens/ Tamays YouTube-Channel: https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA Für mindful embodiment inspirations: Tamay-jentjens.com/News Für deine BodyMind-Morgenroutine: Tamay-jentjens.com/BodyMind  Deine kostenlose Meditation: https://mindful-upgrade.ch/heartset/ Noch Fragen? Schreib mir einfach auf Facebook, Twitter, Instagram oder LinkedIN Mein Instagram: https://www.instagram.com/robin.stolberg/  

    ⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Mein Facebook: https://www.facebook.com/groups/naturalbiohacking  
    _________________________________ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Unterstütze jetzt den Natural Biohacking Podcast und hilf mir dabei weiterhin hochwertige und spannende Inhalte zu bringen. 

 ⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Für deinen Support: www.robinstolberg.de/podcast-spende⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ 

⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Wenn dir die Folge gefallen hat, freue ich mich über eine 5-Sterne-Bewertung, einen Kommentar bei iTunes und natürlich einem Abo! Damit machst du den Podcast besser und noch bekannter ;-)

Hola a todos! Estamos muy emocionado de presentarles un otro episodio del Foreign Football Forecast en español!! En este episodio nos platicamos con Alfonso Tamay de Venados. Alfonso nos cuenta sobre su carrera y sobre el se puede equilibrar ser un padre/esposo y futbolista!! También nos conversamos sobre sus logros y su consejo por todo los jugadores aspirantes! También Alfonso nos cuenta como el se debuto y sus pensamientos y emociones cuando el se debuto!! Alfonso ha ganado la copa mx y ha jugado por sub20 de mexico! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Heute hörst du im Anti-Stress-Podcast den zweiten Teil des Podcast Interviews mit Tamay Jentjens:  Tamay stellt sich vor – hier geht’s zu seinem Webauftritt! Wie gehst du im Alltag mit Stress um? Feste Routine bestehend aus Mediation und Journaling am Morgen. Arbeitszeit eingeteilt in Kreativzeit und Admin-Zeit und Abends runterkommen mit Meditation. Wichtig: Feste Zeiten! … #141: Teil 2 Interview mit Tamay Jentjens „Es ist alles in uns!“ Weiterlesen » Der Beitrag #141: Teil 2 Interview mit Tamay Jentjens „Es ist alles in uns!“ erschien zuerst auf Anti-Stress-Team.

Heute hörst du im Anti-Stress-Podcast den ersten Teil des Podcast Interviews mit Tamay Jentjens:  Tamay stellt sich vor – hier geht’s zu seinem Webauftritt!Tamay Jentjens spricht mit uns über das Thema Stress. Als Trainer und Coach arbeitet er mit Menschen daran, deren Lebensqualität zu verbessern.  Lass uns wissen, was dir gefällt! Wir freuen uns auf … #140: Teil 1 Interview mit Tamay Jentjens „Ich kann jeden Tag mit jeder Entscheidung bestimmen, wie es mir gehen soll!“ Weiterlesen » Der Beitrag #140: Teil 1 Interview mit Tamay Jentjens „Ich kann jeden Tag mit jeder Entscheidung bestimmen, wie es mir gehen soll!“ erschien zuerst auf Anti-Stress-Team.

Yoo GAINBRAINs! Heute habe ich Tamay von @tamayjentens zu Gast im GAINBRAIN-Podcast! Er hat auf YouTube über 60.000 Abonennten und beschäftigt sich mit den Themen Meditation und Selbstfindung. Ich persönlich habe damit in letzter Zeit auch sehr viele Erfahrungen gemacht und würde diese gerne mit euch teilen! Es geht vorallem darum, was Meditation, Wim-Hof, kalte Duschen und so wirklich bringen! Und wie du sie nutzen kannst, um deinen Alltag zu optimieren! Schreibe mir gerne dein Feedback und teile diese Folge mit deinen Freunden oder deiner Familie, falls sie dir gefallen hat! Mehr GAINS durch BRAINS! Peace out, Ben von GAINBRAIN

Tamay Jentjens , ist YouTuber, war Mobility Coach und entwickelt sich immer weiter um für dich als BodyMind Coach da zu sein. Er hat mich im Harz besucht um uns ein Wochenende in der tiefe auszutauschen. Am Ende hatten wir noch die Chance ein Podcast zu machen. Ich habe Tamay interviewed und aus unserer gemeinsamen und seiner Story ein paar wichtige Fakten herausgefunden, die dir weiterhelfen können mehr Erfolg zu haben, gesünder zu leben und tiefer zu dir selbst zu finden. Wenn ihr mehr dazu wissen wollt oder Fragen habt, lasst es mich wissen: patric@thefounderslife.com Tamay findet ihr hier: Youtube: https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA Instagram: https://www.instagram.com/tamayjentjens/ Facebook: https://www.facebook.com/tamayjentjens/ Mich findet ihr: Instagram: https://www.instagram.com/patric_stielau/ --- Send in a voice message: https://anchor.fm/zumbesseren/message

Podcast Folge #010 - Tamay Jentjens Deutschlands erfolgreichster You-Tuber im Bereich Mobility über praxisnahe Tipps für körperliche und mentale Höchstleistungen und vieles vieles mehr! SHOWNOTES: https://www.youtube.com/channel/UCOgY7fHl1vHRnENDjZQ_fRA (You Tube Channel von Tamay) http://tamay-jentjens.com Wenn euch die Folge gefallen hat, lasst uns doch bitte kurz eine positive Bewertung da und abonniert unseren Podcast, um keine Folge mehr zu verpassen. Stay tuned Euer Entrepreneur University Team

Tamay Jentjens war ganz früher selbst ein unbeweglicher und steifer Sportler, bis er über das Thema "Mobility" gestolpert ist. Mehr Infos zu dieser Episode: http://paulkliks.com/nga112  Aus einem persönlichen Problem ist eine Leidenschaft entstanden, die er heute beruflich ausübt. Tamay ist Personal Trainer und Mobility Coach und hat bereits hunderten Athleten dazu verholfen nicht nur im sportlichen Wettkampf ihre Leistungen zu verbessern, sondern vor allem schmerzfreier im Alltag zu sein.