Podcasts about JFS

  Spooky September continues, as Junk Food Supper takes a European vacation to the underground catacombs of Paris in 2014's As Above, So Below, from the twisted mind of John Erick Dowdle! Featuring cameos from a haunted piano and more! But, before that, we rank the last ten movies we've reviewed on the show in our official canonical ranking segment! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus the economic downturn on display in Bakersfield California, Super-powered Girls in Cinema, stinking badgers, trash bags full of free popcorn, a deep dive into everything right and wrong with the Burning Man festival, friendly chit-chats regarding the Nathan Fielder / Theranos Lady trailer, thumping techno vs desert LARPing, Hitchcock's signature blend of ghoulish goofballery, that kid who's canceled now (from that sex cult), what happens when a coyote looks like an octopus?, subtitling practices of film editors of the 1970s, a revolutionary new rating system available exclusively on JFS, funny noises and so much more!! Recorded live-to-tape from rat-infested waters!~! Direct Donloyd Here DON'T FORGET TO ENTER THE UNEASY LISTENING CONTEST! Go here for the links to watch + log on Letterboxd The contest runs until approximately September 29 (when we record the JFS after the next JFD). There are two ways to win! 1. The randomizer will select a lucky winner who logs the movie on Letterboxd with the tag #junkfooddinner. Just log it over there to enter. 2. For a second chance to win, you'll have to send a list (to jfdpodcast@gmail.com) of all the sources (movies, shows, etc) you think were used to create the video. For each correct answer you get one point, but to prevent people from just listing every movie ever made, incorrect guesses will lose you a point. Whoever identifies the most sources wins the contest. Each winner will get to select a movie on an upcoming show for us to review! That's exciting, right? Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll drum funkily for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

  Junk Food Supper has complete the annual Ghoul Summer ritual and is ready to relax during entertainment with our patented Cool Summer pick, the 1976 workplace comedy slash disco dance party, Car Wash, from the twisted mind of Joel Schumacher! Featuring cameos from George Carlin, Richard Pryor and the Pointer Sisters - plus plenty of classic cars and classic tunes! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus mysterious dream-like comic book store experiences, what we been watchin' recently, a discussion of how the new terrible quality AI-remasters of Tales from the Crypt are ruining the internet, a perilous example of modern digital bitrot problems (the YouTube recompression conundrum), the Winged Wonder vs the Caped Crusader, fake Lassie movies from the Gary Coleman For Safety's Sake director, whatever happened to little Chris O'Donnell, stingers-a-plenty and so much more!! Recorded live-to-tape from rat-infested waters!~! Direct Donloyd Here DON'T FORGET TO ENTER THE UNEASY LISTENING CONTEST! Go here for the links to watch + log on Letterboxd The contest runs until approximately September 29 (when we record the JFS after the next JFD). There are two ways to win! 1. The randomizer will select a lucky winner who logs the movie on Letterboxd with the tag #junkfooddinner. Just log it over there to enter. 2. For a second chance to win, you'll have to send a list (to jfdpodcast@gmail.com) of all the sources (movies, shows, etc) you think were used to create the video. For each correct answer you get one point, but to prevent people from just listing every movie ever made, incorrect guesses will lose you a point. Whoever identifies the most sources wins the contest. Each winner will get to select a movie on an upcoming show for us to review! That's exciting, right? Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll drum funkily for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

Dana Toppel is CEO of Jewish Family Service of San Diego, one of the region's most established human services organizations. Founded more than 100 years ago, JFS continues to be rooted in Jewish values while serving people across San Diego County, including older adults, immigrants, families, Holocaust survivors, and neighbors facing housing, food, and other basic needs. Dana has held multiple leadership roles at JFS since 2009 and brings more than two decades of direct service, clinical, and nonprofit leadership experience.This Episode: What does it take to meet urgent needs today while building a stronger safety net for tomorrow? In this episode, Dana and Grant explore how Jewish Family Service is responding to this moment in San Diego. Dana shares how JFS serves more than 60,000 people each year, with a focus on helping people access safe and stable housing, culturally competent food, and the wraparound support they need to move toward greater stability and dignity. The conversation also explores what it means to lead with both compassion and discipline. She and Grant discuss why nonprofits need to focus on what they do best, partner more deeply, reduce duplication, and look further upstream so the region can address challenges before they become emergencies. Dana reminds us that hope is active. It comes from staying close to people's stories, building relationships across differences, and continuing to show up for the work, even when outside forces push back. Key Moments: [2:52] How Jewish Family Service serves the broader San Diego community [8:32] What courage looks like for a humanitarian service organization [17:21] Dana's path from social worker to COO to CEO [26:29] How the nonprofit sector can reduce duplication and work further upstream [44:18] Why hope matters when working toward a different future  Resources Mentioned in This Episode: Jewish Family Service of San Diego – Providing housing, food, immigration support, older adult services, and other human services across San Diego County Safe Parking Program – JFS's program supporting people and families living in their vehicles as they work toward stable housing Nonprofits Create Bold, Replicable Solution to Housing Crisis – An op-ed from Dana Toppel, Prebys CFIO Gil Gil Alvarado, and partners on a new collaborative model for affordable housing in San Diego Take Action: Learn About JFS – Explore how Jewish Family Service supports people across San Diego County through housing, food, immigration services, older adult support, and more. Support Basic Needs – Look for ways to help neighbors access stable housing, nutritious food, and trusted services. Think Upstream – Support approaches that prevent crises before they deepen, including stronger partnerships, reduced duplication, and early intervention. Stay Connected to People's Stories – Volunteer, listen, and spend time with organizations serving the community directly. Seeing the work up close can change how we understand what is possible.  Credits:This is a production of the Prebys FoundationHosted by Grant OliphantCo-Hosted by Crystal PageProduced by Adam Greenfield, Tess Karesky, Edgar Ontiveros Medina, and Crystal PageEngineered by Adam GreenfieldProduction Coordination by Tess KareskyVideo Production by Edgar Ontiveros MedinaThe Stop & Talk Theme song was created by San Diego's own Mr. Lyrical Groove.Download episodes at your favorite podcatcher or visit us at StopAndTalkPod​cast​.comSpecial thanks to the Prebys Foundation TeamIf you like this show, and we hope you do, the best way to support this show is to share, subscribe

Junk Food Supper #118 VIDEO REVIEW of The Killing of a Sacred Deer (2017)Here's something new we're trying - a video version of the movie review from our latest episode. It's also available on our YouTube. If you enjoy it, let us know and maybe go subscribe to the YouTube for more fun stuff. CHECK IT OUT NOW! - MP4 Download Link, or preview below (select 4k for best experience)

Early bird discounts for the San Francisco World's Fair, the biggest AIE gathering of the year, end today - prices will go up by ~$500 tonight so do please lock in ASAP!From near-universal AI tool adoption inside Shopify to internal systems for ML experimentation, auto-research, customer simulation, and ultra-low-latency search, Mikhail Parakhin joins us for a deep dive into what it actually looks like when a 20-year-old, $200B software company goes all-in on AI. We cover why Shopify has become much more vocal about its internal stack, what changed after the December model-quality inflection, and why the real bottleneck in AI coding is no longer generation, but review, CI/CD, and deployment stability.We also go inside Tangle, Tangent, SimGym, which are three major AI initiatives that Shopify is doing to make experimentation reproducible, optimization automatic, customer behavior simulatable, and search and catalog intelligence faster and cheaper at scale. Along the way, Mikhail explains UCP, Liquid AI, and why token budgets are directionally right but often measured badly, why AI-written code can still increase bugs in production, what makes Shopify's customer simulation defensible, and what he learned from the Sydney era at Bing.We discuss:* Mikhail's path from running a major Microsoft business unit spanning Windows, Edge, Bing, and ads to becoming CTO of Shopify* Why Shopify is talking more publicly about AI now, and why staying at the frontier has become necessary for the company* Shopify's internal AI adoption curve, the December inflection, and why CLI-style tools are rising faster than traditional IDE-based tools* Why Jensen Huang is directionally right on token budgets, but raw token count is still the wrong way to evaluate engineering output* Why the real unlock is not more agents in parallel, but better critique loops, stronger models, and spending more on review than generation* Why AI coding can still lead to more bugs in production even if models write cleaner code on average than humans* Why Shopify built its own PR review flow, and why Mikhail thinks most off-the-shelf review tools miss the point* How PR volume, test failures, and deployment rollback are becoming the real bottlenecks in the agent era* Why Git, pull requests, and CI/CD may need a new metaphor once code is written at machine speed* What Tangle is, and how Shopify uses it to make ML and data workflows reproducible, collaborative, and production-ready from the start* Why Tangle is different from Airflow, and why content-addressed caching creates network effects across teams* What Tangent is, and how Shopify is using auto-research loops to optimize search, themes, prompt compression, storage, and more* Why Tangent is becoming a democratizing tool for PMs and domain experts, not just ML engineers* Why AutoML finally feels real in the LLM era, and where auto-research still falls short today* Why Tangle, Tangent, and SimGym become much more powerful when combined into one system* What SimGym is, why simulated customers only work if you have real historical behavior, and why Shopify's data gives it a moat* How SimGym evolved from comparing A/B variants to telling merchants what to change on a single live storefront to raise conversions* Why customer simulation is so expensive, from multimodal models to browser farms to serving and distillation costs* How Shopify models merchant and buyer trajectories, runs counterfactuals, and thinks about interventions like discounts, campaigns, and notifications* Why category-level behavior is so different across commerce, and why ideas like Chinese Restaurant Processes are showing up again in practice* Shopify's new UCP and catalog work, including runtime product search, bulk lookups, and identity linking* Why Shopify is using Liquid AI, and why Mikhail sees it as the first genuinely competitive non-transformer architecture he has used in practice* Where Liquid already works inside Shopify today, from low-latency query understanding to large-scale catalog and Sidekick Pulse workloads* Whether Liquid could become frontier-scale with enough compute, and why Shopify remains pragmatic and merit-based about model choice* Who Shopify is hiring right now across ML, data science, and distributed databases* The Sydney story at Bing, why its personality was not an accident, and what Mikhail learned from deliberately shaping AI character early onMikhail Parakhin* LinkedIn: https://www.linkedin.com/in/mikhail-parakhin/* X: https://x.com/MParakhinTimestamps00:00:00 Introduction: Mikhail Parakhin, Microsoft, and Shopify00:01:16 Why Shopify Is Talking More About AI00:02:29 Internal AI Adoption at Shopify and the December Inflection00:06:54 Token Budgets, Jensen Huang, and Why Usage Metrics Can Mislead00:10:55 Why Shopify Built Its Own AI PR Review System00:12:38 AI Coding, More Bugs, and the Real Deployment Bottleneck00:14:11 Why Git, PRs, and CI/CD May Need to Change for Agents00:18:24 Tangle: Shopify's Reproducible ML and Data Workflow Engine00:21:19 Why Tangle Is Different from Airflow00:26:14 Tangent: Auto Research for Optimization and Experimentation00:30:07 How Tangent Democratizes Experimentation Beyond ML Engineers00:33:06 The Limits of Auto Research00:36:36 Why Tangle, Tangent, and SimGym Compound Together00:37:20 SimGym: Simulating Customers with Shopify's Historical Data00:42:47 The Infra Behind SimGym00:46:00 Why SimGym Gets Better with Real Customer History00:47:30 Counterfactuals, HSTU, and Modeling Merchant Trajectories00:51:55 CRPs, Clustering, and Category-Level Customer Behavior00:53:30 UCP, Shopify Catalog, and Identity Linking00:55:07 Liquid AI: Why Shopify Uses Non-Transformer Models00:59:13 Real Shopify Use Cases for Liquid01:03:00 Can Liquid Scale into a Frontier Model?01:09:49 Hiring at Shopify: ML, Data Science, and Databases01:10:43 Sydney at Bing: Personality Shaping and AI Character01:13:32 Closing ThoughtsTranscript[00:00:00] swyx: Okay. We're here in the studio, a remote studio, with Mikhail Parakhin, CTO of Shopify. Welcome.[00:00:08] Mikhail Parakhin: Thank you. Welcome.[00:00:10] swyx: I don't even know if I should introduce you as CTO of Shopify. I feel like you have many identities. Uh, you led sort of the, the Bing ML team, I guess, uh, uh, or ads team. I, I don't know, I don't know, uh, you know, it's, uh, people va-variously refer you as like CEO or, or, uh, I don't know what that, that, that said previous role at Microsoft was.[00:00:29] Mikhail Parakhin: Uh, that was... Yeah, my previous role w- at Microsoft was the-- I actually was the CEO of one of Microsoft's business units, which included, as I, you know, as we discussed, all the things that people like to laugh about, uh, including Windows and Edge and Bing and ads and everything.[00:00:47] swyx: Yeah, yeah. What a, what a, what a wild time.You've obviously, uh, done a lot since you landed at Shopify. Uh, one of the reasons I reached out was because you started promoting more sort of internal tooling, uh, primarily Tangle, but also a lot of people have seen and adopted Tobi's QMD, uh, and obviously, I think, uh, Shopify has always been sort of leading in terms of, uh, engineering.I think more-- it's just more recent that you guys have been more vocal about your sort of AI adoption. Is that, is that true?[00:01:16] Mikhail Parakhin: Well, I think AI tools in general are fairly recent development, uh, and we've-- Shopify, you know, at this stage of its development, we're developing AI in-in-house and other, uh, building tools that use AI and, you know, interfacing with the wider AI community, uh, you know, are on the sort of the, uh, runaway trajectory.So it just did by sort of natural byproduct. We, we talk about it more also. We just, uh, just even yesterday, Andrej Karpathy was famous in tweeting about, oh, are there some, uh, ways, uh, that, that you can organize your agents to store the data and then, uh, look up the data so that you don't have to research or, or lose context every- Yestime. And a little bit tongue in cheek, I tweeted that, “Hey, we've, we've done it much earlier, and we even have different approaches, Tobi and I.” Tobi, of course, is a big fan of QMD, and I'm more of a SQL, SQLite fan. But, uh, yeah, very similar things that we've already done here. The point is, yeah, we're very dynamic, you know, explosively growing company, and we have to be at the forefront of AI adoption, obviously.[00:02:29] swyx: Yeah. Yeah. Um, you, your team kindly prepared some slides actually that we were gonna bring up on to, uh, the screen. I think I can, I can screen share, and then we can kind of go through some of the shocking stats that maybe, maybe put some numbers to what exactly is going on. So here we have, uh- An internal AI tool adoption chart.What are we looking at here? What ?[00:02:54] Mikhail Parakhin: Yeah, this is very interesting statistics. Uh, this is number of daily active workers, you know, think of, uh, DAO, basically the active users of-[00:03:05] swyx: Yeah ...[00:03:05] Mikhail Parakhin: AI tool as a percentage of all the people in the company, right? And then- Yeah ... different AI tools. And, uh, you could see two things here is that one is the green is total.Uh, green is just total. So you could see that it approaches really % by now. It's hard not to do your job now without interacting deeply, at least with one tool. You could see another interesting thing is just as many people commented in December was the phase transition when suddenly models gotten good enough that, that everything took off and started growing.Uh, it, it was many people noticed that the thing is that small improvements accumulated into this big change in Sep- December roughly timeframe.[00:03:52] swyx: Yeah.[00:03:52] Mikhail Parakhin: The other thing I would claim you could see is that, uh, CLI-based tools and tools that don't require you to look at the code becoming more popular, and you could see, yeah, various versions of, uh, Cloud Code and Codex and Pi and internal development tools taking off.Uh, exactly, yeah, uh, and blue is our River, just internal agent for coding, where tools, uh, that require IDEs such as, uh, GitHub, Copilot or Cursor, they're not exactly shrinking, but they're not growing as fast. Like, uh, red, red line is, is the IDE kind of tools. So you could see that they're, they're not experiencing as, as fast of a growth.[00:04:37] swyx: As I understand it, basically, every employee has their choice, right? Of choose whatever tool you use, and then you're just kind of doing a, a daily sur-survey or something.[00:04:47] Mikhail Parakhin: Exactly. And, uh, we- Yeah ... the, the push is to get your job done, you can use any tool, and we effectively fund unlimited tokens for everybody.Uh, we, we do, we do try to control the models that, uh, people use, but from the bottom, not from top. Like we basically say, “Hey, please don't use anything less than Opus four point six.”[00:05:09] swyx: Oh .[00:05:10] Mikhail Parakhin: Some people, some people end up using GPT five point four extra high. Some people use Opus four point six. Um, uh, you know, uh, there are some, uh, there are plus and minuses in going for full one million context window versus not.But, uh, we try to discourage people from using anything less than that.[00:05:28] swyx: Yeah, yeah. Got it, got it. Uh, I mean, uh, that's, you know... The, the next chart here, it really kind of shows the expansion and the sort of December twenty twenty-five inflection, right? That, uh, people are using a lot of tokens. I think it's also really interesting that no one was kind of abusing it in twenty twenty-five.Like it was- Had comparatively, uh, to this year, there was almost no growth. I mean, it's still like, you know, probably, probably gave fifty percent.[00:05:56] Mikhail Parakhin: Yeah. This is just a different scale. It's still exponential- Yeah, yeah ...growth at just a different- ...rate of expansion. Uh, there was inflection point, and Sean, I would claim the, the super interesting part here is that you could see that the distribution becoming more and more skewed.Yes. The top percentiles grow faster. So that means- Yeah ...the people in the top ten percentile, they, their consumption grows faster than seventy-five and so forth. So, uh, the distribution skews more and more towards the highest users, which is... I don't know what it tells me. It's like it feels not ideal, to be honest.Or maybe it's okay. We'll see.[00:06:36] swyx: Why does it feel not ideal? Is, is it because of, um, quantity over quality, or what's the concern?[00:06:42] Mikhail Parakhin: Because take it to the limit. That means, you know, if, if this rate of separation continued- Ah, yes ...a year, there will be one person consuming all the tokens. So it's just, it's kinda strange.[00:06:54] swyx: Yeah, I mean, um, uh, I, I think internal like teaching and all that, uh, will, will help sort of distribute things more widely. But in, in the early days, of course, the people who are sort of more AI-pilled will obviously find more ways to use it than the people who are less AI-pilled. Maybe let's, let's call it that.I'll just, I'll just kinda quickly, uh, pause from the, the... You know, we will go back to the rest of the slides, but I just wanna, um, review, you know, there are a lot of CTOs of, of large companies like yourself where they're all considering some kind of token budget, right? Like I think it's something, something that Jensen Huang has been talking about, where like if your 200K engineer is not using 100K of tokens every year, like they're, they're underutilizing coding agents.Of course, Jensen Huang would say that, but like it seems a very quantity over quality approach and like some, some people are basically saying like, well, is this comparable to judging engineer quality by lines of code, right? Which we also know is like kind of flawed, but better than nothing. So I, I don't know if you have like a sort of management take here on, on how to view this kind of, uh, metrics.[00:08:02] Mikhail Parakhin: Well, I mean, you're, you're baiting me. I, I like... This is my favorite topic. Uh, if you let me, I'll probably talk for two hours on just this. I have a lot of things to say. Like I do think Jensen gotten a lot of bad press saying, “Oh, of course you're, you know, this, uh, the- ...the cake seller says you don't need enough cakes.”You know? Like, of course. Uh, but, uh, I actually, uh, think that's undeserved. I think he, he's actually right. Uh, I do think- He,[00:08:33] swyx: he's directionally correct.[00:08:35] Mikhail Parakhin: Yeah. Yeah. He's directionally correct for sure. Uh-[00:08:37] swyx: Who knows what the right number is? Yeah.[00:08:39] Mikhail Parakhin: The thing that I do Uh, want to say, and this is something that we learned through trial and error and very important is like two things.One is that it's not about just consuming tokens. Uh, you can consume tokens and, and in fact, the anti-pattern is running multiple agents, too many agents in parallel that don't communicate with each other. That's almost useless, uh, compared to just fewer agents and burns tokens very efficiently. Uh, setting up the right critique loop, especially with the high quality models, where one agent does something, the other one, ideally with a different model, critiques it, uh, suggests ways to improve it, the agent redoes it with this critique and, and so it takes much longer.So people don't like it because latency goes up. You know, they, they have to wait until this debate is happening. But, uh, the quality of the code is much higher. And another thing, just since you mentioned like, look, uh, uh, yeah, the overall budget is just like, uh, lines of codes. Lines of codes are exploding for everybody right now, or partially because AI is really mover balls, but partially just because AI can write a lot more code, you know, doesn't get tired.And so you have to have to have a very strong narrow waist during PR review. Otherwise, just the number of bugs will go through the roof. It's, uh, it's this unexpected consequence of the just volume trumping everything. I would claim by now good model writes code on average with fewer bugs than, than the average human.But since they write so much more of it, like more of it will make it into production. So you have to- You still[00:10:26] swyx: have[00:10:26] Mikhail Parakhin: more bugs. Yeah. Have to have a very rigorous PR reviews, also automated of course. But, uh, yeah, that to spend a lot budget there. Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, five point four Pro or, uh, uh, Deep Think from Gemini, you know, checking on PR reviews.[00:10:55] swyx: Yeah, totally. Uh, I noticed in your chart you didn't have any review tools. Do you just use like, like let's say a Claude code to review tools? Or do you have another set of review tools like the Greptiles, the Code Rabbits, uh, Devin Reviews has a review tool. I don't know if you've had those specialist review tools.[00:11:13] Mikhail Parakhin: You are a little bit jumping on my store tool right now because the graphs I was only showing public tools. Uh, uh, the-- I haven't found a good PR review tool that, that does what I think should be done. And, uh, partially my, my thinking is because it's so... It just goes against both what people feel like emotionally they prefer and, uh, some of the, uh, you know, frankly Even business models that, that the companies run.At peer review tool, uh, time, you want to run the largest models. That means, I don't know, Codex or, or, uh, Cloud Code is not gonna cut it. You need to have pro-level models if you really want to, uh, stand the tide of bots from going into production. And you need us to spend a lot of time, the models taking turns, but you don't want, like, a big swarm of, uh, of, uh, agents.So in fact, you end up in a different dual-dualistic world where you generate not that many tokens. You, in fact, generate few tokens, but it takes f-a long time because these are expensive models taking turns rather than many, many agents trying to do many things in parallel. So that's, that's why I feel like I haven't found good tools, so we are using our own for peer review for now.[00:12:33] swyx: Yeah. Yeah. I mean, uh, I think a lot of companies are building their own, uh, especially to their needs, right?[00:12:38] Mikhail Parakhin: Mm-hmm.[00:12:38] swyx: Um, I, uh, you also have a chart here going back to the slides on, uh, PR merge growth, where we're now at thirty percent, uh, month on month rather than ten percent. Uh, and also the, the estimated complexity is going up.You know, this is productivity, right? ‘Cause y- presumably there's more stuff going into the code base and more, more features getting worked on. I'm curious about the backlog, right? Like the, the, the-- I actually don't mind a pro-level model taking an hour or two hours to review my PR, because I've dealt with humans who take a week to review my PR, right?And I keep pinging them on Slack, “Hey, hey, review my PR.” So, you know, I think there's some trade-off here where, like, it still doesn't make sense.[00:13:18] Mikhail Parakhin: Exactly. That, that's exactly m-my point. Uh, that on one hand, you can tolerate longer latencies at, uh, PR. On the other hand, like right now, the real problem is not in spending time waiting for PR.It's real problem is since there's so much more code than- Yeah ... uh, probability of at least some tests failing going up, and then you, like, keep de-failing, then you have to find the offending PR, evict it, retest it without that PR, and so deployment cycle becomes much longer. Uh, so it actually, in terms of the overall time to deploy, it's total time savings if you spend more time on a longer model, like thinking for an hour, because then, then you, you don't have to spend all that time during testing and rolling, you know, rolling back the deployment.[00:14:03] swyx: Yeah, totally. That's still worth it. You know, you don't look at the individual, look at the aggregate, and look at the, the, the change in the aggregate system.[00:14:11] Mikhail Parakhin: Exactly.[00:14:11] swyx: I'm kind of curious if, like, there's this PR mentality and, like, c-- the, the, the CICD paradigm will be changed eventually. Some people are like, obviously a lot of people want new GitHub, but I even wonder if, like, Git is the problem, right?Like, is that the bottleneck? Is the concept of a PR a bottleneck? Do you guys use stack diffs? I don't know if, uh, that's a, like, a merge queue stack diff type of thing.[00:14:34] Mikhail Parakhin: We, we use, we use Stacks, we u- we use Graphite. We worked with, uh, Graphite a lot. Uh, so we use Stack, uh, PRs. I think, uh, like that's clearly the overall CICD in general, and the interaction with the code repository right now is the, clearly the sort of the, the main issue and the bottleneck for us, uh, and highest top of mind.I would say we probably need a different metaphor or different whole design of how to process it in new agentic world. I haven't seen anything dramatically better yet. I, I think everybody right now is just trying to keep their head above the water ‘cause, ‘cause there, there's so many PRs and then everybody's CICD pipelines start creaking, the, the times are increasing, the number of bugs slipping by increasing, and you have to, have to clap on down.And so we are a little bit in this situation when we need to first stabilize that story and then start thinking, hey, what, what it could be a completely different and new world, which I haven't... I know some people working on it. I haven't seen something, like anything super compelling yet, but clearly the old thing were designed for humans will need to be morphed into something new.[00:15:53] swyx: One of the thing that I, I think about is kind of like the merge conflict is basically a global mutex on the whole system, right? And in, in hu- in human organizations, we do have something like that. It's the company standup. But like, other than that, it's like it's actually fitting for us to be somewhat decentralized, somewhat plugged into one stream of information source, but somewhat lossy.Like it's okay, you know, that, that not every delivery is like atomic consistency. Like we're not dealing with a database sometimes.[00:16:27] Mikhail Parakhin: This is a very good point, uh, because since humans don't write code too fast, you know that global mutex is not too bad. Once you-[00:16:36] swyx: Yes ...[00:16:37] Mikhail Parakhin: start writing code at the speed of machine, it becomes the, you know, the bottleneck.Then what do you do? Maybe, and I can't believe I'm saying this because I, I'm long-- lifelong opponent of, uh, microservices, and I always thought that was, like, a really bad idea. And now that you're saying it, like, maybe in new guys like microservices will make a comeback, you know, because then you, you can ship things independently in tiny things and, and the managing all that complexity automatically will be much easier.I don't know. Like, we'll s-- we'll have to see.[00:17:10] swyx: Yeah. I mean, I don't know what the Microsoft or, or Shopify thing is, but I, I read this paper from Google where they have a monorepo that deploys into microservices, right? And then, uh, the other concept that I think about a lot is the Chaos Monkey concept from, from Netflix.Being able to create, like, this robust system where, um, uh, you know, you, you have the service discovery, you have the, uh, the independent, independent microservices discovery and, and, uh, you know, probably going to be a fair amount of duplication. That's how an organic system sort of scales, uh, that, that you have that...I don't know how you call it. Slack? Robustness? Depend-- uh, d-duplication. I, I, I forget the-- I, I'm-- And this-- those-- these are not exactly the terms- Hmm ... I'm looking for, but I c-can't really think of the words. Okay. I was gonna go into Tangent and Tangle. Uh, so, uh, we, we sort of discussed the overall stats that, uh, Shopify has.Uh, but, you know, I, I think some, some pretty cool stuff that you guys are working on is your ML experimentation, uh, and your, your sort of auto tr-research training pipeline. Presumably you're much closer to this one because it's, it's a sort of personal hobby of yours. How, how would you explain them in, together?I thought we have a slide that, like, uh, has the s- the system diagram.[00:18:24] Mikhail Parakhin: Yeah. Tangle first and then Tangent as a-[00:18:27] swyx: Yeah ...[00:18:28] Mikhail Parakhin: as a thing on top of Tangle. And, uh, Tangle is the third generation, I claim, of, uh, systems of, uh, running any data processing, but a bit with a skew for ML experiments, but not necessarily. Any sort of data processing tasks where you need to iterate, share, and you have scale so that you want maximum efficiency.You know how, like, normally you would work, you would-- Imagine you're a data scientist or an ML practitioner, you would get Jupiter notebooks or, or maybe you would get, uh, you know, Pyth- your Python scripts, and you would manage the data, and you produce those TSV files, and you put them in some JFS or something.Then you would notice that, oh, it has this, uh, weird missing values. You go and write another script that, uh, goes and replaces them with, uh-[00:19:20] swyx: Ah ...[00:19:21] Mikhail Parakhin: dash S. And then, then you, then you run some, some, uh, “Oh, I need to filter bots.” And so you run some light GBM model that, uh, removes the bots. And then, then you like-- And then you, you kind of like get into shape, and then you start experimenting, and you run multiple experiments, and then you're like, “Oh my God,” like, “this experiment is worse.”You undo, and you cannot get to previous result. And like, “Ah, what did I do?” Like that. Again, then, then you finally like get everything working. Then you like start throwing it over the fence to production. You, you replicate it, those things don't work, and then sometimes you like don't notice that you forgot some feature naming and the, the features don't match.But then, like imagine you, you did everything, and then six months later you're like, have to repeat it because now there's more data, or you wanted to do another pass, and you're like, “What, what did I do?” Or like, or like, “This script crashes now,” or the, “the path has changed.” And then, then you're trying to, like you spend another month just doing ar- digital archeology on your own, you know, history, right?Now multiply that by many, many teams. Now imagine you got an intern that you wanna ramp up. Now you have to show that intern, “Oh, you know, look, here's the folder, there's the scripts, you know, ask your cloud agent to do, and then, uh, to, to figure it out.” And then cloud agent does something, and then you're, “Ah, yeah, right, right, it was the wrong folder.I forgot to tell you, I actually have this other thing I forgot myself.” And, and that's, that's the, like, the daily life we all, uh, all know it, uh, if, if you're a data scientist, machine practitioner, ma- machine learning practitioner or, uh, or even like any data managing, uh, person.[00:21:00] swyx: Yeah. So I, I used to do this, uh, f- uh, on the quant finance side, uh, in, in my hedge fund.So we did this before Airflow, and then, uh, obviously Airflow came along and, uh, then more recently Dagster, uh, I would say is like, in my mind, what I would use for that shape of problem, uh, where you had to materialize assets and create a pipeline.[00:21:19] Mikhail Parakhin: And that's, that's very good segue because... So Airflow is great, but Airflow is more about you, you have something and you wanna repeatedly run it in production on schedule.It's less about you as a team developing things and being able to share, and you grabbing the standard pipeline and saying, “Hey, I wanna change this tiny little component in the huge sea of data processing, and I don't wanna-- I wanna run ten experiments on this, and I wanna do hyperparameter optimization.”All that is very hard to do with Airflow. It's very easy to do with Tango. Tango is m- more about, it's everything about group of people Running experiments, it might be agents too nowadays. Uh, running experiments cheaply, collaborating, sharing results. Uh, you don't need to understand fully. You, you grab-- you clone somebody else's experiment or somebody else's pipeline, uh, run, uh, change small piece, run it, be, like, get it to production state, and then ship in one click.So then the... You don't have to port it into any other system to, to run in production. You can just run the same experiment. It's, it's fully production ready. And, and it's, uh, it has lots of... Again, as I said, it's third generation system. The original one was, I would claim there was Ether and then, uh, at least in my career, Ether was the first, first, uh, that pioneered this type of approach.And then there was, uh, Nirvana, which, uh, uh, at Yandex, which did kind of sec-second take on this. And now this one aggregates the, the learnings from all of those and, and Airflow as well to, to get to the state where you try it, it, it feels kind of magical. Uh, ‘cause now everything is based on content, uh, hashes.So even if the version changed, but if the output didn't change, nothing is being rerun. It's very efficient. If you... Multiple people start experiment that needs the same sort of data preprocessing, it's not repeated multiple times. It's automatically done only once. If you start ten experiments that all require, you know, some, some data preparation first as the first step, and you don't have to coordinate for that.Like, you don't have to know that other people are starting it. You now, it's very easy compos-, uh, composability, any language you can u- uh, you wanna use, and it's very visual. So you can see immediately, you can edit it easily, you can assemble small things with just even mouse clicks if you want to, and, uh, share, clone.And everybody knows also it's fully kind of static in the sense that we rerun it second time, it will exactly have the same results. Like, you will never have to do digital archeology. So full versioning and everything is also there.[00:24:06] swyx: Uh, so, so people can, uh... It's open source. Go to the GitHub repo and, and, uh, check it out.Uh, and it is also a really good, uh, blog post about it. I think all these is, like, really appealing. The, the, the, the thing that I think sells me the most about it is that, um, sort of development to production transition, right? Which I think, um, a lot of people haven't really solved that, uh, strictly, right?Like, we develop really, really well in, in Python notebooks, but then, you know, that's obviously not a sort of production ready process. I think that, like, any way in which that is solved, I think is, is very appealing. Then the other thing that you mentioned, which also raised my eyebrows, was content-based caching, which you mentioned is, is, um, you know, is ve-very much, uh, um, a sort of efficiency measure about, uh, you know, just like recalculation only on, on sort of content addressing Which I think makes sense.Uh, it surprised me that the savings could be this much, but maybe I just haven't worked at your scale where there's so much duplication, uh, that people just rerun because they change a single ID upstream.[00:25:10] Mikhail Parakhin: It does, yeah. But it's not only you rerun. The, the main savings are coming from the fact that you ran it, you got your job done, and you moved on.Then- Yeah ... somebody else in some department you don't know existed runs the same task, but on a newer version.[00:25:27] swyx: Yeah.[00:25:27] Mikhail Parakhin: Like right now, you can't, in, in most of the organizations, you can't even find out about it so that you can't even measure that you're spending that time twice, right? Here- Yeah ... if everybody's on Tango, that's detected automatically and detected that the output is the same.And then for that person, all it looks like is like experiment just suddenly moved, jumped forward, right? Uh, uh- Yeah ... so that's because, because the, there's network effect of multiple people helping each other.[00:25:51] swyx: Yeah. This is one of those things where it's designed to be a platform from the beginning rather than an individual developer's tool from the beginning, right?And, and everything's gonna streams down from there. That is the sort of Tango, uh, orchestrator, and it's, it manages jobs. We've seen a few versions of this, and this is obviously, uh, uh, the sort of, uh, unique approaches that you guys have, have, uh, figured out. And then there's Tangent.[00:26:14] Mikhail Parakhin: Yeah. And Tangent is basically an automatic auto research loop that can help and kind of do your work for you.Uh- ... you know, uh, effectively, effectively, Andrej Karpathy recently popularized it with auto research. Yes. Remember he said like he was, uh, speed running this, uh... Yeah, uh, you know the story. The, here we're basically bringing the same capability into Tango so that, uh, the, uh, Tangent can analyze it. It's just an agent that can run multiple experiments, figure out what can be changed, and keep on rerunning it, keep on modifying until, uh, maximizing some goal, some loss function, whatever you need to, to achieve.And in general, I would say if you're not using auto research-like approach in whatever you do, like literally whatever you do, then you're missing out. We saw at Shopify that taking like a wildfire, anything where you can put measurements can be done dramatically better. Our-[00:27:19] swyx: Mm-hmm ...[00:27:20] Mikhail Parakhin: uh, speed of, uh, templatization HTML, uh, completely new UX tem- uh, templatization of, uh, reducing latency for liquid themes.Uh, we-- Our, uh, search, uh, recently we moved from It's hard even, uh, quote from eight hundred QPS to forty-two hundred QPS with the same quality just by pure optimizations and not a research loop that kept running and changing code in our index serve on the same number of machines, just increasing the throughput.We, we managed to improve the quality of gisting and machine learning process. Uh, you know, gisting is the prompt compression technique that[00:27:59] swyx: allows for[00:28:00] Mikhail Parakhin: lower latency and, and lower and, uh, actually higher quality slightly. So like literally whatever different walks of life, and it doesn't have to be AI related.Uh, we, we had a reduction in, uh, storage because the agents would go and find data sets that clearly are derivative, uh, and then you don't need to store things twice. You know, we, we, we found somewhat embarrassingly that it was one of the largest tables was hashing random IDs into another random ID, and we literally- Oofput only one. So it was translating, yeah, two random IDs hashed[00:28:36] swyx: into[00:28:37] Mikhail Parakhin: each. So, so[00:28:37] swyx: it has access to the code as well, so it can, it can check the, like what, what the hell is it doing?[00:28:42] Mikhail Parakhin: So there, there cou- it could be run in two levels. You, uh, you know, at the superficial level, it could just use ex-existing components and, uh, reshuffle them.Uh, you know, like you can grab- Yeah ... uh, XGBoost, and you can grab some, some Py- PyTorch module, and then can grab some, you know, grab another tools and, and combine them. At a deeper level, since Tangle is all sort of CLI based underneath you, every, every component is a wrapped really CLI, uh, call and a YAML file, it can analyze code and create new components and, and, uh, keep on iterating as well.So, so you can, you can both have quick modifications of existing t- uh, pipelines with the, with components that are already there pre-baked, or you can create new components, uh, and-[00:29:29] swyx: Yeah ...[00:29:29] Mikhail Parakhin: keep iterating on those. So auto research is, again, this is probably the, the thing I was excited the most in the last two months happening, and we see it taking like, like totally like a wildfire.Just, uh, everybody, every day, every... well, every day, every minute, I would, uh, have somebody Slack message saying, “Oh, look how much better I made it.” And, uh, it's all throughout the research.[00:29:53] swyx: Is this democratized in some way in, in the sense that like is it your ML, uh, engineers and researchers doing this, or is it your regular PMs and software engineers also have the ability to auto-- to use Tangent?[00:30:07] Mikhail Parakhin: This is an awesome question. Like, Tango in general and Tangent in particular are extremely democratizing. Like they- Yeah ... they are the main tools for- ‘Cause I don't[00:30:15] swyx: need the details.[00:30:16] Mikhail Parakhin: Yeah. Exactly. Initially used by ML and AI engineers, but then literally, as you said, PMs are like the highest user right now is one of PMs on our org, uh, Sartak and he was, he was number one by, by usage of, of this ‘cause they're just, uh, energetic and knowledgeable, and now it, it unlocks a lot of capability where you don't have to co-change code manually.[00:30:39] swyx: I mean, I mean, because it kind of cuts out the ML, ML engineer from the process because the, the, the PMs have the domain knowledge and the ability to think about, uh, from first principles about, okay, what, what results do I want? And they can-- they even have the access to the data that, that needs to go in.So it's like in some ways, like this is the magic black box that we've always wanted for, for training and, and for, uh, I guess, uh, uh, hill climbing, whatever.[00:31:04] Mikhail Parakhin: It's basically cloud code for your AI development- ... uh, situation, right? Like now, now you don't have to know exactly how algorithms work. You can just, uh, bring your domain knowledge and expertise and product knowledge and iterate within Tangent until you've gotten the results that you need.[00:31:21] swyx: In my previous roles, every time that someone has pitched AutoML, you know, I've always been like, “Uh, this is not, this is not gonna work. It's, you know, it's, it's always gonna be a flop.” Somehow it's working now. I mean, presumably the answer is now we have LLMs and it's good enough, right? It's, it's an emergent property that we can do auto research, but like, it doesn't feel that satisfying that how come we didn't do this before, right?Like we just did like parameter search and like, I don't know. That's maybe that's it.[00:31:48] Mikhail Parakhin: Yeah. Bayesian optimization and hyperparameter optimization was, was the one that, or facet of AutoML that was used very actively, which incidentally also built into, uh, Tango. But, you know, I know Patrice Simard very well, and, uh, he was such a, uh, such a proponent of AutoML, and he put, like literally spent careers trying to democratize it.Without LLMs, it just turned out to be very hard. Like it, you, you would have flexibility within certain narrow domain, but it was hard to wider scale, and now with LLMs suddenly it's like magic wand, and so suddenly everybody- ... is an AutoML expert.[00:32:28] swyx: Yeah, I, I think it's multiple things, right? Like I'm, I'm just gonna bring up the, the, the chart again, right?Like LLMs can do the monitoring very well. That is the very potentially unbounded, super unstructured. It can do the analysis very well, it can do the... Uh, and basically it is much more intelligence poured into every single step. Uh, there's maybe nothing structurally changed about AutoML, but this is just m-more intelligent and more unstructured.[00:32:53] Mikhail Parakhin: Exactly.[00:32:54] swyx: Any flaws that you've run into? Like everyone is like drinking the Kool-Aid, oh my God, time savings, uh, you know, performance improvements. Like what, what, uh, issues have you have, uh, come up?[00:33:06] Mikhail Parakhin: This is really cool. It's not a solution to all the world's problems for sure. The limitations are usually the ones I-- And this is where we get into a bit of a subjective territory.Uh, I can only share what I've, I've seen so far, and I'm sure the situation, uh, is changing, and, you know, maybe after I say it, like many people will reach out and say, “Hey, what about this?” And you don't know that, and then, then we'll be probably right. But what I've seen is auto research is very good at doing kind of obvious things that you don't have bandwidth to do or you didn't notice or maybe you're not aware of like the-- some standard practices.It is not good at doing something completely out of distribution, something that, you know, you have to think for, for multiple days, uh, and, and do something like none of this. So, so it's, uh, I, uh, set an experiment once, uh, on, on my sort of, uh, hobby thing, and I let it run for, uh, ended up, uh, several weeks run, uh, you know, it's like full production kind of scale, so it, you know, slow runs and, and it ex-- it performed in the end, uh, over four hundred experiments, and only one was successful.I'm like, “Okay, that's, that's good.” But-[00:34:18] swyx: But it saved time.[00:34:19] Mikhail Parakhin: Yeah, I saved time. Like it, it was the, that thing. Yeah, if I, if I were doing four hundred experiments myself, my betting average, as I said, would have been much higher, I'm sure. But also, first of all, it would take me like three years to do four hundred experiments.And, uh, I didn't have to do them. Like the machines were just, uh, the price of electricity did that. So, and I got one improvement, uh, that in, uh, my, my-- Honestly, when I was starting that experiment, my thinking was to go and show that, “Hey, Andre, maybe you just don't know how to optimize.” And I was super smart because in, in my pro-problem, it was optimized for many years, and it was like fully improved.Uh, and I didn't expect it, you know, auto research to find anything at all. Yet it did. So instead of making fun of Andre, I ended up, uh, a big, big supporter. Yeah, that's exactly the tweet. Yes.[00:35:10] swyx: You and Toby really, really go back and forth on-online a lot, which is really funny. Uh, think of it as, as an eval for the optimalness of the code it's running on.Uh, it's almost like it reminds me of like a Kolmogorov complexity thing, but, uh, I guess it's-- there's some optimal thing that you're trying to sort of reduce down to, I guess. Um, and so, so you, you, you know, you should congratulate yourself that you had, uh, you know, uh, ninety-nine percent, uh, optimality.[00:35:36] Mikhail Parakhin: Exactly, yeah. I think Andre really deserves a lot of credit for popularizing this approach. This is, uh, this is incredibly, I think, powerful and cool and You know, the, uh, even him, him just mentioning it led to a lot of gains in a lot of places in the industry, so we should be thankful.[00:35:56] swyx: Yeah. I think he also has a just...I don't know what it is. Like, um, you know, it, it is a simple self-contained project that people can take and apply to other things, which is, is, is one thing, but also just the name. Just like somehow no one, no one managed to call their thing auto research. It's just naming things is very important. I think that that is mostly, uh, our coverage of Tango and, and, uh, Tangents.I think obviously, you know, there's a lot of, uh, ML infra at, at Shopify that people can, uh, dive into. We're about to go into SimGym, but before I do that, any, any other sort of broader comments around this whole effort? Like where is it, where is it leading to?[00:36:36] Mikhail Parakhin: As a segue to SimGym, like all those things start composing strongly.And, uh, you could see a huge unlock when you can look at each one of the tools and, and you see, oh, they're extremely useful. Uh, Tango is useful by itself. Auto Research is useful by itself. SimGym is useful by itself. If you combine all three, you create like synergetic effect. I think that's why we wanted to even, uh, cover them today is because this is something that if you go back even, you know, five years ago, would've been unthinkable.Uh, replicating that, uh, would, would be either incredibly costly or impossible, right? With probably thousands of people are required.[00:37:20] swyx: Well, we have serverless human, uh, serverless intelligence, right? Like, uh, so yes, you do have thousands of hu-- of, of intelligences, not just, not humans. And that's, that's close enough, right?Even if they're not AGI, they're, they're close enough to do the, the task that you need them to do. And, and, you know, that's, there's plenty for, for a lot of routine work, knowledge work. Okay, let's get into SimGym. Um, this is one of those things I, I was surprised to see actually it's apparently your, uh, one of your most popular launches, and I think something that, uh, I think Sim AI, I think Yunjun Park, who did the Smallville thing, there's a very small cottage industry of people trying to do like the simulate customer thing.I think a lot of people maybe don't super trust this yet because they're like, well, obviously they would just do what you prompt them to do, right? But maybe just think, uh, tell us about the sort of inspiration or origin story.[00:38:10] Mikhail Parakhin: That's exactly actually the thing I wanted to cover, because if you don't have the historical data, all you can do is prompt a-agents in a vacuum, and they will do exactly what you prompt them to do.In fact, when I first proposed it, and this is a bit of, um, my brainchild initially, if I, I can boast, even Toby said like, “But wouldn't they, they just repeat what, what you tell them?” And, uh, but I'm like, “Yes, except Shopify has decades of history of how people made changes and what there is, uh, there, what it resulted in terms of sales.”So now what we can do is we can-- we have this... It's not, it's a noisy data. There's a small, usually websites, uh, you know, like things, things are never in isolation. It's almost never AB experiment. It's always AA experiment when there's has two meanings, but basically, you know, in different time you run two different things.But if you aggregate in general, uh, like everything together, and you apply, uh, denoising and collaborative filtering like approach, you can extract a very clear signal. And then you can optimize your agents. And that's why it took so long. It took almost a year of that optimization of just us sitting and fiddling, and, and we had this internal goals of correlation of hitting-- internal goal was to hit zero point seven correlation with, uh, add to cart events, for example.Like that, that if we run real AB test experiment, that it should, it should go and, and rep-uh, replicate, uh, same sort of success that, that humans had or lack thereof. And it, it took forever, and I don't think that's easily replicatable because, uh, like who else would have that data? You have to have this historic, you know, decades, uh, worth of data.And now, now the, like the other thing you need is in-infrastructure and the scale, right? Because, uh, w- again, what we found, uh, stat sig results, you need to run a lot of simulations, a lot of agents, and, and it's-- Those are expensive things. Like you're, you're making actions in the browser because you want a real friction.You want to, to be able to get the image like of what humans will see because you wanna, uh, detect effects like, “Hey, if I make my images larger, will I have more sales or l- uh, fewer sales?” And like usually people's intuition here, by the way, is that I increase my images, I will have more because they look nicer.You know, designers all look sparse and big images. Like usually your sales tank, right? But, but, uh, you know, from HTML, all the characters look the same only the, the size tag looks different, right? So it's very hard. So you have to take visual information, you have to run this in simulated browser environment on the big farm and, and of course, you have to have, uh, like very, very expensive model, good model with multi-model model.So all this it's-- is what's taken so long and, uh, to share my personal fail a little bit there, Sean, is like, you know, we always had this bias to-- for like large company bias. You know, we always, uh, whenever you-- we do, we're like, “Hey, we'll run an experiment,” right? We make, make a change, and we will run an experiment and then, uh, see, uh, see which one's better or like, “No, this is worse,” and most of them are worse, so you discard it and keep iterating, hill climbing.And we're like, “Oh, like smaller merchants, they cannot get stat sig results. They cannot really run experiments simply because, you know, in a week there would be not enough data for them.” So we thought from this perspective. What we didn't realize is that most people don't have A and B, they just have one thing, and they need suggestions of What A and B should be.So, uh, we first build this, hey, we run simulation on two separate teams and, and, uh, say, “Hey, which one is better?” We then morphed it into, and very recently just released it, when you have just your site, your theme, we run over it and we say, “Hey, here's what predicted values of, of, uh, uh, conversions are, and here's how we think you should modify it to increase your conversions.”And then circling back to what you started with, the proof is in the pudding. Like, if we are not correlating with reality, like, people will not be using it. And, uh, thankfully, we see literally every day more users than the previous day. So, so right now, uh, right now- It's working. Yeah. I'm-- Right now my problem is how to pay for it all because the so our major thing is how to optimize the LLMs, do distillation, how to run the headless browsers, uh, and handful browsers, uh, uh, cheaper so that we can accommodate the increase in traffic.[00:42:47] swyx: Yeah. I, I understand that you, uh, you published a lot of technical detail at GTC, so I was just gonna bring it up a little bit. I think s- was this in, in con-conjunction with some kind of GTC presentation? Or something like that, right?[00:42:59] Mikhail Parakhin: Well, we, yeah, we, we did it in several place, but yeah, we had the engineering- Yeahblog, uh, as well. Yeah.[00:43:05] swyx: Yeah. So you're running, uh, GPT OSS. Uh,[00:43:08] Mikhail Parakhin: the, this is an older version. You know, now we run multimodal model. But yeah- Yeah ... GPT OSS, we still run GPT OSS as well for[00:43:15] swyx: And then you have the VMs, and you also have browser-based. I really like this one where it you said, “It violates almost every assumption that standard LLM serving is designed for.”And then you had like, basically orders of magnitude differences between everything.[00:43:29] Mikhail Parakhin: Exactly. Which is, which, uh, which was, you know, a bit of a challenge to implement, like when, like even simple things. Uh, be- since it violates all the assumptions, for example, multi-instance GPUs, like MIGs don't work as well.But we needed, uh, to get MIG to work because, ‘cause otherwise it's way too expensive. And so we had to deal with the, yeah, with, uh, lots of infrastructure and, and, uh, work with, uh, uh, Fireworks and CentML, uh, you know, to help with optimizations and browser-based, as you mentioned. Yeah, like, takes a village.[00:44:04] swyx: Okay. So there's a lot of like, I guess, experimentation in the infrastructure so far, and you've published more or less what you have here. I guess I'm, I'm less familiar with CentML. I, I don't do, uh, that much work in this, this part of the stack. But why was it the sort of preferred instance platform?[00:44:22] Mikhail Parakhin: There are really three probably top companies. There used to be, uh, uh- Three top companies, uh, at least I was aware of that did, uh, LM optimization. You know, together Fireworks and Santa ML, not necessarily in that order. Santa ML recently got acquired by NVIDIA. Uh, what they did is if you have a model and you want to optimize it to a specific prof-- uh, profile of usage, uh, they would go and do it.And, uh, we work with, with those companies, uh, this was work particularly in with Santa ML and NVIDIA to get them the best possible results out of it. And, and sometimes you, you have to retune depending on, like sometimes you want the maximum throughput, sometimes you want minimal latency, sometimes you want like the cheapest, right?And, yeah, or some combination. And so yeah, these are people who would come and help you.[00:45:14] swyx: I see. I see. Yeah, yeah. I'm familiar with these people for the LLM, you know, autoregressive stack. But the other interesting category of these optimizers is also the diffusion people, whereas like Fel and, you know, uh, Pruna recently has come up a lot as well, which I think is like really underappreciated, uh, at least by myself, because I, I thought, oh, all the workload would be LLMs, but actually there's a lot of diffusion as well.[00:45:38] Mikhail Parakhin: Exactly.[00:45:38] swyx: There's a lot here, so I, I, I... it's, it's, uh, it's, it's, it's hard to cover. But I, I do think like people underappreciate the importance of customer simulation, basically. I think this is something that I'm candidly still getting to terms with. Uh, you know, uh, you also-- your team also like prepared this, like, really nice diagram.Uh, I, I assume this is AI generated.[00:46:00] Mikhail Parakhin: Yeah, it looks-[00:46:01] swyx: Maybe it's not.[00:46:01] Mikhail Parakhin: Yeah, it looks, uh, Gemini-ish. Yeah, but, uh, uh, honestly, I, I don't know where, where the hell they generated. It looks, look, uh, looks like it's, uh, Google. But the interesting part, John, that, that, uh, we haven't covered, but I, I wanted to mention is if your store had previous customers, rather than it's a new store, you're like new merchant just launching things, it helps tremendously in just correlation and forecast.Yeah, we take your previous, uh, customer's behavior, and we create agents that replicate those specific distribution of, of customers that you get, and then we a- we apply those to your changes, and then that, that raised raw, you know, the re-- uh, just correlation with the add to cart events or to-- with conversion or whatever it, it, it may be, uh, quite dramatically.So, uh, replicating humans in general seems like an interesting, cool challenge.[00:46:58] swyx: As a shareholder, I think this is the-- like if people are Shopify shareholders, they should really deeply understand this because this is basically the moat. The, the more you use Shopify, the more it will just automatically improve, right?Like you're, you're doing the job for them.[00:47:13] Mikhail Parakhin: Yeah, that's what we started with. Like, uh- ... uh, otherwise, if you're just a startup, I wouldn't do it if, uh, you know, if it was my startup because Without the data, it, yeah, as, as you said, it's, it's exactly the case that, uh, whatever you say in prompt, that's, that's what the agents will be doing.[00:47:30] swyx: The statistician in me wants to like really satisfy the sort of, um, statistical intuition, I guess. Um, to me it's kind of, uh, the, the word that comes to mind is, um, ergodicity. Uh, so let's say a, a customer takes this path, customer takes this path, customer takes this path, right? Um, the... In my mind, the way I explain it is like, okay, here, here's the ninety-five percentile, here's the five percentile, and here's the median, right?Um, but to me, what SimGym is potentially doing is that it can, uh, modify... It can sort of model the sort of in-between sort of journeys as well, that, that maybe are dependent on the previous states. This may be like a very RL-type conclusion where like basically the summary statistics, if you only did naive AB testing, you only have the, the statistics at, at, at a certain point, and you only judge based on the sort of overall summary statistics.But here you can actually model trajectories. Does that make sense? Or-[00:48:31] Mikhail Parakhin: That makes total sense because like, well, that, that makes even more sense that maybe even you realize bec- because-[00:48:38] swyx: Okay. Please,[00:48:38] Mikhail Parakhin: please. Yes ... we do-- Yeah. The, so internally, uh, we have this system, we talked about it briefly once at NeurIPS.We have a huge HSTU-based system that models the whole companies, uh, and their possible paths. And like- Yeah ... what you are, what you are showing, like actually at any point of time, you can either model the user's behavior or you mo- can also think about, uh, the whole merchant as a company, as the entity that acts in the world.You can model that as well. And then you can do, can do counterfactuals. In your graph, like in your blue graph, uh, if you're... Imagine in the center there, uh, somewhere in the middle, you would have an intervention. I give that person a coupon, or I don't know, I send a personal thank you card, or give a discount in some- somewhere.And then you can, uh, then you can do forward rollouts from that counterfactual. So what would have happened with that intervention or without the intervention? And you can even ch- change where that intervention, uh, in time can happen, right? Like some- where, where in this journey. So we, we do this at the Shopify scale for our merchants, and then if we notice that something that they can be fixing, like there's a strong counterfactual, like we have Shopify policy, they basically get a notification like, “Hey, we think your...something is wrong with your-” I don't know, Canadian sales. Like, uh, it looks like it's misconfigured. Here's what you need to do. Or do you think like, uh, you have to set up this campaign with these parameters? And we do that at the buyer level to literally offer discounts or cashback or, or things to buyers.So this is-- I'm getting very excited. Like this is my sort of area of, uh, interest, I guess, and, and hobby. But being able to m-model something complex as human beings or companies and model counterfactuals on it, where you can have interventions in the future and optimize when to make intervention, what kind inter-- uh, what kind of intervention to make.It's such an unlock that previously was completely impossible. Like the-- it was, it was always dreamed of, but never... Like how would you even simulate it without LLMs or HTUs? I think very, very exciting times.[00:50:59] swyx: I just wanted to, uh, to maybe illustrate this. I, I'm not the best illustrator, but I, I am a conceptual statistics guy.And y-you know, you cannot just do this. Like this is a dimensionality AB test doesn't do, right? Like, uh, because it doesn't have the, the, the change over time, uh, stochastic nature, uh, and it doesn't have the sort of contextual like... Here's all the context to this point. Um, okay, cool. Um, that's SimGym.You're, you're gonna burn a lot of tokens on this thing. But you're, you're one of the, the only scale platforms in the world that can, uh, that can do this across a huge variety of workloads, right? I'm even curious on a sort of human, uh, research level of like, well, do, does retail behave d-differently from like clothing sales?D-does that behave differently from electronic sales? I, I don't know. I don't know what else you guys... The Kardashian shoppers, do they differ from like people who buy, uh, I don't know, cars and, uh, whatever.[00:51:55] Mikhail Parakhin: Well, very different, and different sensitivities and different modes of, uh, shopping and, and different levels of what's important.Now, to-totally, you can do aggregations at, uh, at a store level. You can do aggregations at a different, uh, category level. I don't know if, uh, you know, for our statisticians among us, I couldn't believe, but we-- recently we're looking at it, and we had to bring back, uh, CRPs, you know, Chinese restaurant process.It's a, like, way of aggregating and, like, naturally grow clustering. So across... Specifically to answer questions that, uh, like you were just posing on how, how if, if buyers behave different categories. And I'm like, “I haven't seen CRP since two thousand and one.” It's[00:52:37] swyx: so What? It's so- What is... No, I haven't, I haven't seen this.No. This is not in my training. Uh,[00:52:44] Mikhail Parakhin: but, but yeah, it, uh, uh, it actually, like the, the-- there was a very popular kind of theory, popular neurips HTML circles in early two thousands, uh, kind of nice. And now, now it has practical applications, uh- Yeah ... that we were resurrecting.[00:53:03] swyx: Yeah, amazing. Uh, I, I can see, I can see how this is like a, uh, a fun job for you where you get to apply all these things.Um, yeah, yeah, so super cool. Super cool. So, okay, so, so anyone who, who knows what CRPs are and has always wanted to use them at work, uh, they should, they should definitely join Shopify. Okay, so w-we have a lot and but I, I'm, I'm being mindful of the time. I, I do wanted to, to sort of cover some other things.Um, I-I'll give you a choice, UCP or Liquid?[00:53:30] Mikhail Parakhin: Liquid. I think, I think on UCP, you know, like UCP is very important for us and, and it just we are-- UCP, we have a structured, uh, discussions, and you can read about them, and we have, uh, blog posts, and we have a big release this week, in fact, like with our catalog.Oh,[00:53:46] swyx: okay.[00:53:46] Mikhail Parakhin: Uh, yeah,[00:53:46] swyx: but- Le-I mean, we, we can, we can discuss the, the, the release briefly because we'll release this after the-- after it's already announced so whatever. There's a catalog that you guys are doing?[00:53:55] Mikhail Parakhin: Yeah. So we are, we are- Okay ... we are bringing in capabilities of a whole, uh, Shopify catalog.Basically, you now you can search for products, you can do lookups by specific ID, you can do bulk lookups when you need to bring m-multiple products. You don't need to know in ad-in advance what you're trying to show or to sell or check out. Like, you can now, you can now have this decided at, at runtime, and this big area for investment for us for both non-personalized and personalized searches, trying to provide basically a win-window into whole universe of products that are being sold everywhere in the world.And Shopify is really not exactly, but almost like a super set of any-anything being sold. Now we are bringing it into UCP and, uh, and, uh, identity linking is another big thing for us, uh, so that you, you can use, uh, like Google or whatever, whatever identity you have, uh, they're minimizing friction.[00:54:56] swyx: Yeah. So[00:54:57] Mikhail Parakhin: yeah, big release for us.But Liquid AI of course we never talk about, and the problem might be more, more aligned with what we d-discussed previously on this chat.[00:55:07] swyx: Sure. The main thing that everyone understands about Liquid is that it is inspired by Worm, and I still don't know why. I'm curious on your explanation. I think you, you, uh, you can make things very approachable.And also I think like what is the potential of like the, the level of efficiency that you get out of Liquid?[00:55:23] Mikhail Parakhin: You- we all familiar with transformer architectures. And, uh, for the longest time, there was a competing architecture, it's called the state space models. So, so Sams, uh, you know, Chris, Chris Reyes, one of the pioneers and, and lots of startups, uh, trying to make those realities.They have, uh, significant benefits being main being, uh, being much faster and, uh, lower footprint and not quadratic in length, you know, sort of, uh, linear in, in, uh, in your context length. But with state space models- They never quite made it. Like they're used-- They have, uh, certain niches when they thrive, their hybrid architectures are useful, but they never quite made it.And liquid neural networks are, you can think of them as a next step, like, uh, sort of, uh, state-space model square. It's non-transformer architecture that's more complicated than sta-state space and really difficult to code if you-- if I'm being honest. But it's, um, very efficient. It's, uh, subline-- sub, uh, quadratic in, in length of your context.Uh, it's very compact way to represent things, and that's a liquid AI company. They... Their goal is to productize it, and very often you have this need, uh, when you need to have long context and small model, and you want to have low latency. Like in general, it's basically on par with transformers, and if you do hybrids with transformers, it's, it's even better.That's why we at Shopify, when we tried multiple and we constantly try multiple models, multiple companies, we found that for small, particularly with low latency applications, when you have low latency and/or if you need longer context lengths, liquid was the best. And so we still use the whole zoo and always like obviously test and use everything, uh, every open source model and, you know, it feels l

Unannounced Live Gospel Tangents recently surprised viewers with an unannounced live stream including a JFS book giveaway. This is a "late night edition" that offers a whirlwind update on my extensive travels, upcoming interviews, and even some "breaking news" from the Temple Lot Church. Despite a busy travel schedule and a significant backlog of videos to edit, I managed to connect, give away a JFS book, and share exciting previews of what's to come! https://youtu.be/Jw_a2PA5jAU Recent Travels and Adventures I've been to several significant sites related to the Latter Day Saint movement: Community of Christ Conference in Independence, Missouri: This "super fun trip" included reactions to Stassi Cramm being ordained the new prophet in the Community of Christ. While there, I also visited the Temple Lot Church, meeting a "Kiwi" (New Zealander) who hinted at a possible interview. I also updated my tour with video, experimenting with cell phone cameras, promising many unpublished videos from Independence. Mormon History Association: Following Independence, he attended the Mormon History Association, where I toured several LDS churches, including a "really old" one in Ogden and Joseph Soderberg's church, known for President Hinckley's testimony story. Strangites in Wisconsin: Instead of Houston, I visited the Strangites in Wisconsin, staying with former guest Bill Shepard. He also hung out with David Boice and Gary Weber, who gave me a tour of the Hill of Promise, which the Strangites consider akin to the Hill Cumorah. ◦ The Voree Plates and the Hill of Promise: Gary Weber explained that the Hill of Promise is where James Strang found the Voree record. An angel reportedly told Strang where the record was buried beneath a tree, and respected townsmen witnessed its excavation. The record, encased in stone, crumbled upon exposure to air but was translated by Strang, telling the story of the "people of Raja Ramor". It described a great war, similar to the Hill Cumorah narrative, and a pictorial representation of priesthood structure mirroring that under Joseph Smith and James Strang. ◦ Prophetic Significance: The Hill of Promise is also sacred because Strang's revelations state that Daniel from the Bible will appear there someday to teach the saints and announce Christ's soon approaching second coming. ◦ Beaver Island Plans: David Boice & I visited Burlington (originally called Voree by Strang), where we saw several Strangite sites, including a plaque for a never-built temple. I'm planning a trip to Beaver Island, which was James Strang's later settlement where he was crowned king and assassinated. Gary Weber noted that there's "not a lot to see" on Beaver Island, mostly dirt roads, but a ferry or plane can take visitors there. Calgary/Cardston, Alberta, Canada: I flew to Calgary for my son's wedding and visited Cardston, Alberta, home to the first international temple for the LDS church. I received a book on Raymond, Alberta, a town settled by Raymond Knight (son of Newell Knight) and noted for being "practically Utah up in Canada" due to its 80% Mormon population. Cardston is compared to Manti due to its remote location and pioneer feel, with concerns about preserving its murals during an upcoming refurbishment when a new temple in Lethbridge opens. Beyond church history, I also enjoyed a Brewers-Cardinals baseball game with my friend Walter Reade. Upcoming Interviews and Content Viewers have much to look forward to from Gospel Tangents: John Turner Interview and Book Giveaway: John Turner's book, "Joseph Smith The Rise and Fall of an American Prophet," was released on Amazon. I've already conducted an interview with Turner, and part one was released. An autographed copy of this book was given away in a contest. Strangite Interviews: Interviews with Gary Weber and potentially other Strangite figures, including a man named Trevor, are in the pipeline.

Have you ever wondered what a CEO actually does in a company?Join Jason Hopper & guest host Cathy Barker for a discussion on all things chief executive officer related at JFS!You'll learn what Cathy does here, CEO interviewing style, and funny story of when Jason interviewed with Cathy!

Hello again fighty friends!April 5 I was had the opportunity to go commentate in our National capital for the Capital Punishment promotion which is organized by retired (maybe...) professional fighter and now coach, Mr. Ben Pride of Westside Muay Thai in Ottawa, Ontario. I have known Ben ever since June, 2014 when he fought a former fighter of mine on Journey Fight Series (shout out to team Smandych! we miss JFS!!!) in an 8-man tournament, and I have been following Ben ever since! We have a chat about his event - Capital Punishment and what his motivation is to host a fight event, of course we talk about some of the key match ups that went down including the main event for the Muay Thai Canada national title. I ask Ben where and when he found Muay Thai, Ben tells us about some of his adventures in Thailand, why Westside Muay Thai has such a reputation for clinch fighters and - IS BEN LOOKING AT COMING BACK FOR ANOTHER TILT?! - you'll have to listen to the podcast I guess!!!of course I hit Ben with a top 3 question and he cheated with his 1 shout out allowed! haha.ANOTHER example of "knowing" someone for a longtime, but really connecting through the podcast and finding out more about the people driving the Canadian Muay Thai scene forward for all of us. MAN, I am grateful for this lil hobby of mine - SHOUT OUT TO YOU BEN!

Dagens avsnitt gästas av inga mindre än JFs ordförande och utbsek - Arvid och Mathias. Det pratas om allting mellan himmel och jord. Självfallet ställs frågan vad det innebär att vara ordförande och utbsek och vad dessa herrar gör om dagarna, men viktigare än så pratas det om universitetets egna vin, om det finns en större fisk och Ebbas fattigdom.

  Schlocktober is over! But the horrors continue! (depending on how much you like Billy Barty) This week! Parker and Sean are off to see the Wizard! Either that, or they're just wearing their ruby slippers for no reason at all. But one thing's for sure: they're reviewing the weird-ass Chevy Chase / Carrie Fisher comedy "Under the Rainbow" from 1981! And they're also catching up on the official JFS movie rankings. So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus exchanging digits like the kids in Strange Darling do, celebrating small victories, the worst election results in our lifetime, a quick run down of some recent releases (The Fall Guy, Twisters, The Substance, Anora and maybe more!), the hottest spot for plaster cranks in Sin City (we're talking dongs), do we need to all calm down about Bruce Campbell (just a little)?, Parker defends puke movies (and also heaps mild praise on a Journey to the Center of the Earth movie), walking simulations explored, a drop requested (and delivered), sneezes, blank stares, gleeks and so much more!! Direct Donloyd Here Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll visit Culver City for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

2024 NAIJA PARTY TIME MIX VOLUME 2 PLAYLIST|REPOST | SHARE 1. Wizkid - Kese (Dance) 2. BNXN & Rema - Fi Kan We Kan 3. Kvng Vinci ft. Zerrydl - HAUSAPIANO Remix 4. Zerrydl - Back To Back 5. Burna Boy - Higher (Amapiano Edit) 6. Asake & Travis Scott - Active 7. Davido & YG Marley - Awuke 8. Kizz Daniel ft. Adekunle Gold - Pano Tona 9. Jaivah, Babyboy AV & Falz - Kautaka (feat. Poco Lee, JFS music, King Tone SA, DJ Neptune & Marioo) [Remix] 10. Smur Lee ft. ODUMODUBLVCK & Shallipopi - JUJU 11. Olamide - Morowore 12. Ayra Starr, Anitta, Coco Jones - Woman Commando 13. Asake & Central Cee - Wave 14. Ayo Maff - Are you there? 15. Asake - Remeber 16. Umu Obiligbo - Fake Life 17. Phyno - Trouble Maker 18. DJ OBI ft. Ayanfe & Bien - Take Me Away 19. KCee - Feel Am (feat. Didi B) 20. Ruger & Bnxn - Poe 21. Asake ft. Stormzy - Suru 22. Young Jonn - Bahamas 23. Wizkid, Wande Coal - My Car Vs Ololufe 24. Jesse Jagz - Peace Be Unto You VS Wetin Dey 25. Rema - Yayo 26. Kashcoming - How Low Remix Vs Yayo 27. Pheelz - Majo 28. Rema - Azaman 29. Asake Vs Wizkid - Uhh Yeah Vs Show You the Money 30. Asake - Uhh Yeahh 31. Asake - Ligali 32. DJ Yk Mule - Oblee 33. Dj Yk Mule -Oblee (Remix) 34. DJ CORA- Groovy Rhythm 35. Asake - Fuji Vibe 36. Shallipopi ft. Olamide - Order 37. Rema - Ozeba ******** Follow me for more Updates www.djdeemoney.com ******** Thank you for the support and the tips: Paypal: www.paypal.me/djdeemoney Cashapp: www.cash.app/$djdeemoney Follow me on Instagram -@djdeemoney

Der heutige Fokus liegt vor allem auf internationalen Themen nach dieser spannenden Woche: Die US-Präsidentschaftswahlen mit dem Comeback von Donald Trump, der Zerfall der Ampel-Koalition in Deutschland und Romans Besuch des LYMEC-Kongresses in seiner Rolle als International Officer der JFS. Korrektur: Jouni Ovaska ist nicht EU-Parlamentarier. Er sitzt im finnischen Parlament und ist dort Sprecher für EU-Angelegenheiten in seiner Fraktion.Vielen Dank für dein Interesse an Freisinnig diskutiert. Bewerte uns hoch und abonniere uns, um keine Folge zu verpassen!

Coming off the road The JFS had a relatively quiet week behind the mic. Cosmically I did connect with and his story is one of the most compelling I have heard in 2,000+ interviews.Born in Iran left as a very young baby A moved from Norway to Canada to the US. Right before his 16th birthday his parents took him back to Iran for a “vacation.” After the government lost their papers his family wound up spending the next couple of decades in the country. At that time A was obsessed with listening to music and skateboarding. Music was outlawed in Iran at that time so A was relegated to acquiring cassettes of Metallica on the black market and showing off his skate moves to culturally starved people. There were no drum kits available commercially in Iran because music was forbidden so A took a 13 hour drive to Tehran to find instrument stores. When he did a gentlemen opened a sliding wall and dozens of antiquated kits - from before the revolution - reveled themselves. The only problem was they cost 3x as much as a car so A returned to his hometown and with that help of a friend built his own kit.What followed were gigs in wedding bands and shedding in his room being careful not too play too loud so as to alert the neighbors.In dealing with family strife his father taught him to pray. A managed to create his own version of allegiance to god and never fell into the doctrinaire pit of conformity and group think. Instead he held true to the principles of his faith while incorporating the mystical side of Islam known as Sufism. He also began to read the philosophical works of cats like Maurice Maeterlinck as well as Cabalistic texts which broadened his ability to alter states of consciousness while praying and receiving messages that only became clear in their meaning as he got older.A now lives in Sacramento and is a decorated teacher, player and international inspiration. His story is one of perseverance, getting knocked down and starting from scratch. He and his friends created improvisational musical games w/o having any formal training and over time his ears became bigger to contain all music. Suffice it to say we still have at least one more installment to do but I highly recommend listening to this interview. If nothing else to gain some perspective on how we are all connected by the universal vibration and through that frequency we are all one.

Your boys are back there's lots to discuss! We talk about "Civil War" and "Fallout," among other things. Then we recount the last 10 JFS movies and average our scores to make a canonical ranking. It's tradition! Which movie is our number 1? Only time will tell! After that, we review the 1989 Jim Wynorski classic "Return of Swamp Thing." Heather Locklear, Dick Durock and Monique Gabriel star in the campy sequel to the Wes Craven original. It's based on the DC comic and features a plant man who fights an evil scientist! A tale as old as time. All this and much more! Direct Donloyd

Watch Rabbi Rowe's responses to all sorts of interesting Judaism questions at this open Q & A with Rabbi Daniel Rowe as part of the NXT program of JFS 6th formers at Aish, on Tues 19th march 2024. ▬ Contents of this video  ▬▬▬▬▬▬▬▬▬▬ 0:00 - Intro - begins taking questions 0:48 - Charlie - 'Jewish view of abortion? Different opinions from different rabbis?' 0:58 - 'What's the biggest challenge facing today's teenagers?' 1:17 - Olivia - 'How can we see the good in God when there's so much bad in the world?' 2:20 - The Jewish view of abortion (answer 1) 8:12 - The Challenges facing teenagers today (answer 2) 12:32 - Connection with Purim (continuation) 17:30 - Bad things happening in the world (answer 3) 22:14 - Why does God allow painful things to happen? (continuation) 25:40 - The deeper meaning of the sin of Adam (continuation) 33:22 - Using pain to heal the world (continuation) 36:15 - The concept of Moshiach (answer 4) 37:18 - "Why hasn't the messianic era come yet" (follow up) 37:56 - Dillon - "Why doesn't Moshiach come now and make us better people?" (follow up) 38:49 - Yally - "If Torah was written down so long ago how does it stay relevant to us today?"  41:05 - James - "Why can't we make our own interpretations of the Torah? Why rely on rabbinic interpretation from millennia ago?" 43:12 - "If Judaism's view of God is true, why do so many people not believe in it? How do we relate to other faiths?" 46:38 - The role of non-Jews (continuation) 47:46 - "Why can't Jews follow the teachings of Jesus as well as the Torah?" 48:42 - "What about Jews for Jesus?" (continuation) 50:21 - "Can non-Jews keep the Torah?" (continuation) 52:10 - "I wish I wasn't Jewish" (continuation) 53:09 - Harry - "What is consciousness? And what things are actually conscious?" 57:34 - Outro Subscribe for more videos about Judaism, Jewish Mysticism and Kabbalah. Rabbi Daniel Rowe is a popular Rabbi, philosopher and educator in the UK, who uses deep knowledge of Judaism, science and philosophy to captivate and educate audiences on a daily basis. Follow Rabbi Rowe on Social media for regular new uploads and updates: YouTube: https://youtube.com/@RabbiDanielRowe?si=dLtRunDWpW0GbOkx Spotify: https://open.spotify.com/show/1qPQn7TIWdQ8Dxvy6RfjyD Apple Podcasts: https://podcasts.apple.com/us/podcast/rabbi-daniel-rowe/id1721139516 Instagram: https://instagram.com/rabbidanielrowe?igshid=OGQ5ZDc2ODk2ZA%3D%3D&utm_source=qr Facebook: https://www.facebook.com/share/LHRiZdB5EL2VdNaA/? Amazon Music: https://music.amazon.com/podcasts/cd5debfe-684c-411d-b0bc-223dcfa58a39/rabbi-daniel-rowe LinkedIn: https://www.linkedin.com/in/rabbi-daniel-rowe-23838711?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app TikTok: https://www.tiktok.com/@rabbi.daniel.rowe?_t=8i87VmPNE7V&_r=1 #jew #jewish #judaism #philosophy #torah

Join us for "OG Talk" a special episode of "The Toast" as we raise our glasses to the 2024 World Ag Expo! In this exclusive episode, we're thrilled to bring you live from The Ag Center booth at this year event. Our esteemed guests include John Yergat from JFS, Russel Harris representing The Almond Company, and Robert Huckaby from Westside Equipment. Together, we dive deep into their backgrounds, exploring the journeys that led them to their current positions. From humble beginnings to industry leaders, we uncover the secrets of their success and the challenges they overcame in starting their businesses. Gain valuable insights into navigating the agriculture industry in today's economy as we discuss the intricacies of growth and innovation.  Cheers to the 2024 World Ag Expo and the bright future of agriculture!

The boys are back this week! After an unfortunate series of events, they discuss Dexter, Japan, the JFD meet up, get some voice mails and so much more. Then Sean and Parker cope with their own senility while watching a collection of TV show intros. After that, they discuss the Denis Villeneuve film, "Blade Runner 2049." How does it stack up against the Ridley Scott original? Is Harrison Ford a good actor? What is Ryan Gosling doing? All these questions answered and more! direct donloyd here! If you want more JFS, go join the patreon or the discord channel!

#BeAGoodFriend and check out episode #92 of #FeeneyTalksWithFriends featuring Katie Hanley. It was great to talk with my wife's good #friend, Katie Hanley.  Katie is the CEO of Jewish Family Services of Greater Hartford.  We talked about: Nicole Feeney (minute 1) CEO of Jewish Family Services (JFS)  (minute 3) Mandell JCC  (minute 7) Max & Lily  (minute 10) Toy and Coat Drive (minute 13) The #18 (minute 15) 3 Keys (sponsored by West Hartford Lock) to being a CEO of JFS (minute 16) Was Katie a Disney Princess? (minute 20) WWF / WWE (minute 24) Katie's favorite restaurant, Bombay Olive (minute 26) Katie's four dinner guests: Conan O'Brien, Oprah Winfrey, Bob Dylan and her grandfather (minute 28) Wings from Luna Pizza (minute 33) Brigid and Brigette (minute 36)  Katie's favorite teacher (minute 40) French Cleaners (minute 43) Mister Rogers (minute 45) Steve Familglietti (minute 48) Steve on podcast #8 (minute 50) Steve was a Blindness Services Manager (minute 55) Panera Bread fundraiser for Steve on January 8th, his birthday (minute 1.02) Steve was a storm chaser (minute 1.06) Hot One -  Last dab with Da Bomb (minute 1.08) Gen Z slang (minute 1.10) Closing remarks (minute 1.16) Podcast links: Jewish Family Services: www.jfshartford.org Episode #8: Feeney Talks with Steve Familglietti: https://www.youtube.com/watch?v=bRZR1fVHsgc French Cleaners: www.thefrenchcleaner.com Podcast Sponsors:  Donut Crazy - www.donutcrazy.com The Fix IV - www.thefixivtherapy.com West Hartford Lock - www.westhartfordlock.com Keating Agency Insurance - www.keatingagency.com Goff Law Group - www.gofflawgroup.net Parkville Management - www.parkvillemanagement.com Luna Pizza - www.lunapizzawh.com/lunas-menuPeoplesBank - www.bankatpeoples.com --- Support this podcast: https://podcasters.spotify.com/pod/show/friendsoffeeney/support

  Take a Schlocktober road trip with the JFS boys this week as we head out on the highway in search of smoked meats and Halloween treats. Our month-long horror celebration continues with our review of Motel Hell from 1980! But first! We chat all about the Good/Bad/Weird hotels and motels in fictional fictions! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus another Kelly Slater surf ranch report (hooray!), rattling chains, a deep dive on the 559 area code, Halloween is ruined, the little guy is saved, scary sounds recorded onto a cassette tape in a boom box under Sean's hoodie at a very scary concert, airbnb thrillers, a nice place for a suicide, creaky doors, the forgotten Bridges Brother, shrieks, howls, yelps and so much more!! Direct Donloyd Here Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll bury ourselves up to our necks in fertilizer for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

  JFS co-host Parker Bowman *claims* to be a lover of Kathy Ireland, but does his love extend all the way back to her first film role, or extend all the way down to the center of the earth? We'll find out this week, as we test the limits of what could reasonably be called a Jules Verne film with 1988's Cannon Films adaptation of Journey to the Center of the Earth, Alien From L.A.! But first! We got two (count 'em) tasty segments up top! First, we run down the top ten movies of the summer and compare them to the predictions we made earlier in the year! Then, we chat about the most important day in baseball history: 1994's MTV Rock & Jock game! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus no Kelly Slater surf ranch report (sadly), late nite antics from the west coast boys, the thrilling and exciting results of the summer movie wager, christopher nolan's irksome hubris, robo shenji, moby, long-butted mascots, rocking and jocking in '94 (til infinity), anna nicole smith in the background showing her boobs from time to time, blurps, bleeps, bloops and so much more!! Direct Donloyd Here Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll fall into a bottomless pit, and survive, for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

Jewish Family Services of Greater Orlando, 2100 Lee Road, has been giving food to those in need for 45 years. However, the organization has never given out as much food as it has in 2022. “The amount of food going out of our establishment is record-breaking for us,” JFS president Phil Flynn said. “May broke all our records. Then June broke May's record and I've just closed the books on July and July broke June's records. So we have a tremendous amount of food going out.” Flynn said the food insecurity in Central Florida was greatly exacerbated by the pandemic. “Prepandemic — go back to 2019 — we were averaging 22 clients a day,” Flynn said. “We then, during the pandemic, rose to 124 (clients) per day.” Flynn said JFS' food pantry is now seeing about 100 people a day — which the organization believes is the new normal. The majority of people being served by JFS are people who are working, but struggling to make ends meet. “I see the working poor,” Flynn said. “My facility, we do serve — if you're homeless, and you show up, we feed you. We give you the food to go. But, the vast majority of clients — over 95% of people coming in — they're working, right? So they're working two, three jobs, but they can't get to the end of the month.” Flynn said that it takes a lot to meet the growing demand JFS is experiencing. “We rely on a combination of tremendous amount of donor support. We are a nonprofit agency. We're raising money all the time and through government programs and government grants,” he said. However, Flynn added that the funds have not quite kept up with the demand for help. “They have enough for us to just do today's job and worry about tomorrow, tomorrow,” he said. JFS bases its mission on the Jewish principle of “tikkun olam,” which translates to “repairing the world.” “You show up at my front door, you're hungry, I feed you,” Flynn said. “You need help, I help you. Our job is to save the world.” Flynn added that there are no qualifications to receive assistance from JFS “You're hungry, we feed you. It's plain and simple. Yes, because we do take government grants, we do ask some questions. Do you live in Seminole County? Do you live in Orange County,” he said. “We take that information so we can report back to the government because they are interested in tracking.” Flynn described his work as humbling but added that he would not be upset if his job became obsolete. “If food insecurity went away, then you wouldn't need the food pantries,” he said. “Just take it away. We'll do something else.” In the latest episode of Florida Foodie, Flynn talks about the other services offered by JFS to people in need. He also shares information on a new program aimed at helping survivors of the Holocaust. Those interested in donating to JFS can click here. Please follow our Florida Foodie hosts on social media. You can find Candace Campos on Twitter and Facebook. Lisa Bell is also on Facebook and Twitter and you can check out her children's book, “Norman the Watchful Gnome.” Learn more about your ad choices. Visit megaphone.fm/adchoices

  JFS co-host Parker Bowman *claims* to be a lover of spelunking, but does his love extend all the way back to the golden age of Australian made-for-TV cartoon movie adaptations? We'll find out this week, as we test the limits of half-assed Hannah Barbera styles with 1977's Australian adaptation of A Journey to the Center of the Earth! But first! As is tradition long-established on Junk Food Supper, we tackle a topic of interest! And we fly to the moon by way of Las Vegas while we do it! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus no Kelly Slater surf ranch report (sadly), the weather update, can snake people be trusted?, the going price of gila monsters, neverending evangelion, Russian propagandists posing as Las Vegas lounge singers, the most perverted dining options in town, Parker's trip report, the ideal music to eat a cheeseburger by, unhoused scare tactics, swindling Robert Englund in Cincinnati, blurps, bleeps, bloops and "also" so much more!! Direct Donloyd Here Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll wrestle our way out of two pages stuck together in an old book, for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

In episodes 47 and 48, I told you the story of 4-year-old Averylee Hobbs. Avery was not even a month old when her mother, Britney Roll Mayes, fractured Avery's skull and spent time in prison. After Britney was released, she was awarded visitation with Avery, who began returning to her paternal grandparents covered in bruises, burns, bite marks, and other inflicted injuries. Even though multiple family members reported the obvious abuse, Avery's caseworker and guardian ad litem took Britney's side and even convinced a judge to give Britney custody of her daughter. On July 29, 2016, Avery arrived at the hospital, unresponsive, and she died three days later.In this mega episode, you'll hear all of my previous coverage of Avery's case, including episodes 47, 48, and a snippet from a case update special I released in December of 2021. Then, you'll hear several more recent updates in Avery's case, including her mother's attempt to appeal, the ways her family has kept her memory alive, and the tireless advocacy Avery's grandma, Tammy Risen, continues to pursue in the name of her little Cupcake.This is the tragic, infuriating, preventable story of Averylee Hobbs.Tammy's petition: https://www.change.org/p/modernization-of-children-s-rights-under-the-care-of-child-protection-servicesD.E.A.R. Facebook group: https://www.facebook.com/groups/1159854537727295Center for Judicial Excellence: https://centerforjudicialexcellence.org/“That Old Table” on YouTube: https://www.youtube.com/watch?v=jJVbsT76mTw&ab_channel=TammyRisen This episode is brought to you by BetterHelp. Give online therapy a try at betterhelp.com/STLC, and get on your way to being your best self.Photos related to today's episode can be viewed on Facebook: https://www.facebook.com/sufferthelittlechildrenpodYou can also follow the podcast on:Instagram: https://www.instagram.com/sufferthelittlechildrenpod Youtube: https://www.youtube.com/c/sufferthelittlechildrenpodcast Twitter: https://www.twitter.com/STLCpodTikTok: https://www.tiktok.com/@STLCpod My Linktree is available here: https://linktr.ee/stlcpod Visit the podcast's web page at https://www.sufferthelittlechildrenpod.com. Please help make the show my full-time gig to keep the weekly episodes coming! By supporting me on Patreon, you'll also access rewards, including a shout-out by name on the podcast and exclusive gifts. Pledges of $5 or more per month access ad-free versions of my regular Wednesday episodes (starting with episode #88). Pledges of $5 per month can listen to my weekly episodes ad free, while $10 or more per month access a small but growing collection of Patreon-exclusive bonus minisodes! Visit www.patreon.com/STLCpod. You can also support the podcast at www.ko-fi.com/STLCpod. This podcast is researched, written, hosted, edited, and produced by Laine.For more stories like this one, visit https://sufferthelittlechildrenblog.com.Music for this episode is licensed from https://audiojungle.net. Subscribe to Suffer the Little Children:Apple Podcasts: https://podcasts.apple.com/us/podcast/suffer-the-little-children/id1499010711Google Podcasts: https://playmusic.app.goo.gl/?ibi=com.google.PlayMusic&isi=691797987&ius=googleplaymusic&apn=com.google.android.music&link=https://play.google.com/music/m/I5mx3lacxpdkhssmk2n22csf32u?t%3DSuffer_the_Little_Children%26pcampaignid%3DMKT-na-all-co-pr-mu-pod-16Stitcher: https://www.stitcher.com/podcast/suffer-the-little-childrenSpreaker: https://www.spreaker.com/show/suffer-the-little-children Pandora: https://www.pandora.com/podcast/suffer-the-little-children/PC:61848?part=PC:61848&corr=podcast_organic_external_site&TID=Brand:POC:PC61848:podcast_organic_external_siteSpotify: https://open.spotify.com/show/0w98Tpd3710BZ0u036T1KEiHeartRadio: https://iheart.com/podcast/77891101/ ...or on your favorite podcast listening platform.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/4232884/advertisement

  JFS co-host Parker Bowman *claims* to be a lover of spelunking, but does his love extend all the way back to the golden age of the Spanish rip-offs of existing Hollywood Jules Verne adaptations? We'll find out this week, as we test the limits of rubbery dinosaurs with 1977's weird adaptation of Journey to the Center of the Earth, but from the guy who did Pieces, entitled Where Time Began! But first! As is tradition long-established on Junk Food Supper, we tackle a topic of interest! But this time it's a complete surprise as to what will happen! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus no Kelly Slater surf ranch report (sadly), we make some Frances Ha-Ha's about giggling Greta's Big Budget Barbie bonanza, we pass strict judgement on Chris Nolan's Oppenheimer (100% of both hosts having seen it), "other market factors", obscure adaptations of classic stories, classic porno adaptions of obscurities, what kinda Buffy's Parker's got under his bed, a dangerous place (culturally), blurps, bleeps, bloops and "also" so much more!! Direct Donloyd Here Got a movie suggestion for the show, or better yet an opinion on next week's movies? Drop us a line at JFDPodcast@gmail.com. Or leave us a voicemail: 347-746-JUNK (5865). Add it to your telephone now! JOIN THE CONVERSATION! Also, if you like the show, please take a minute and subscribe and/or comment on us on iTunes, Stitcher, Blubrry or Podfeed.net. Check us out on Facebook and Twitter! We'd love to see some of your love on Patreon - it's super easy and fun to sign up for the extra bonus content. We'll wrestle a rubbery dinosaur for your love and support. With picks like these, you GOTTA #DonloydNow and listen in!

  JFS co-host Parker Bowman *claims* to be a lover of Clint Eastwood, but does his love extend all the way back to the golden age of the Spaghetti Western? We'll find out this week, as we test the limits of runtimes with 1966's three-hour long The Good, the Bad and the Ugly! But first! As is tradition long-established on Junk Food Supper, we tackle a topic of interest! Sean and Parker do their own "Good/Bad/Ugly" segment, all about westerns! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus no Kelly Slater surf ranch report (sadly), two grandpas bemoan fireworks (spoiler: we are the grandpas), the Dial of Destiny report, book-related chats, a voicemail from our good friend the dark prince of hell lord satan, rough and tumble productions, blurps, bleeps, bloops and "also" so much more!! Direct Donloyd Here

  JFS co-host Parker Bowman *claims* to be a lover of dance, but does his love extend all the way back to the dawn of sound pictures? We'll find out this week, as we test the limits of oldness with 1935's tap-dancing extravaganza Top Hat, starring Fred Astaire and Ginger Rogers! But first! As is tradition long-established on Junk Food Supper, we tackle a topic of interest! Sean and Parker figure out what were the worst endings to non-bad things?! So #DonloydNow and enjoy this bite-sized Junk Food Supper. We got all this plus the Kelly Slater surf ranch report (again), the federal guidelines on Bowman's body sweat, a visit to the Asteroid City, a ticket-buying spree, Bowman's a DC's-man now, Kepi's sloppy water styles, wacky three's company vibes, pre-war bliss, blurps, bleeps, bloops and "also" so much more!! Direct Donloyd Here

Warning!! This is a JFS episode.....This week Jonathan and Michael discuss whether a non-Japanese can become a "Soke"..(it pains me to even write it...) Way of the Fist: Instagram: https://www.instagram.com/wayofthefist.2018/ Facebook: https://www.facebook.com/wayofthefist.2018/ Way of the Fist is brought to you by co-host Michael Hagen, chief instructor at Apex Karate Performance. Michael trains in Shima-Ha Shorin Ryu and Yamanni Chinen Ryu bojutsu. Find Michael at: https://www.instagram.com/michaelhagenkarate/ and https://www.instagram.com/apexkarateperformance/ Co-host Jonathan Seavey is the owner and chief instructor of the Kokorozashi Dojo, in Virginia, USA. Jonathan is a Okinawa Goju Ryu and Matayoshi kobudo practitioner. Find Jonathan at: https://www.instagram.com/jseavey67/

Join Steve Wyss & Jonathan Fadugba for our special Swedish Allsvenskan Season Preview 2023. EVERY team is discussed in great detail. After a shock maiden crown last season all eyes will be on BK Häcken to see if they can defend the title. How will they get on? Can either of the Stockholm clubs lift the trophy this year, and how will Malmö bounce back after a dismal Allsvenskan campaign in 2022? There are two newly promoted teams this season with Brommapojkarna the bookies favourites to go down. Who is likely to struggle and who are JFs tips to go down? For a comprehensive season preview then look no further! Itinerary:- 00:00 Introductions 10:50BK Häcken 21:15 Malmö FF 32:35 Djurgården 39:50 AIK 48:05 Hammarby 57:20 Kalmar 1:07:25 Elfsborg 1:15:00 IFK Göteborg 1:26:08 Mjällby 1:34:00 Norrköping 1:43:10 Relegation baatle 1:44:05 Halmstad 1:48:50 Brommapojkarna 1:53:58 Varbergs 1:58:02 IFK Värnamo 2:03:15 IK Sirius 2:06:05 Degerfors 2:10:10 Closing thoughts

In this episode, Mike speaks with Jackie Gerrard, the owner of JFS facility services, about transitioning her cleaning business from residential to commercial. Jackie expresses her desire to make more money and Mike helps her clarify that her goal is to make $10,000 per month in profit. Mike cautions Jackie that switching from residential to commercial is not a guaranteed way to achieve her goal and urges her to focus on business principles rather than looking for a "magic pill." He advises Jackie to make her goal of $10,000 per month her north star and to evaluate all business decisions based on whether they will help her reach that goal. Love the idea, but find it overwhelming? Want to learn the next steps like, what to actually say on the call? Jump on a call with one of our coaches and learn strategies on how to grow your cleaning company and start loving your job every day! Book here

Deva Mahal is part of my generation. A generation that grew up better than their parents and had accessibility to see and hear and access more information then ever before. In some respects if your an artist from our generation, because of this access, you tend to emulate and try and sound like this guy or that, sing like him or her, get a nose job and sing about the shallow hipsters who are now using hair on their body to fill in their patchy beards. Deva, like myself, is trending towards the authentic individualism of pure music with her band Fredrick's Brown. When she gets up on stage, like her dad, she exudes the music from all her pours. She sings, plays percussion and tries to borrow from the soul/gospel acts that came before her while finding her own unique voice that creates identity. Identity in the digital age with a inflexible music industry leaves only one thing left. The Soul. The soul inside everyone who is seeking their true nature. Be it Jake Feinberg behind the mic or Deva Mahal performing in front of family, friends or 12,000 of her best friends. She exudes soul and is not so far in the forest. She can look at each individual tree and appreciate what came before her while challenging the conformist system that is the 21st Century. She likes to hang and play music in New Zealand, the home of Alan Broadbent and Stephanie Brown her bandmate in Fredericks Brown. Nobody knows what the future holds Gary Bartz but the shadow of doubt that creeps into everyone's mind is crushed by that persons desire to transcend and forever create. Deva Mahal welcome to the JFS.

A high-profile Linux kernel network flaw, we put JFS on a death watch, and break down the controversial Firefox update this week.

A high-profile Linux kernel network flaw, we put JFS on a death watch, and break down the controversial Firefox update this week.

A high-profile Linux kernel network flaw, we put JFS on a death watch, and break down the controversial Firefox update this week.

A high-profile Linux kernel network flaw, we put JFS on a death watch, and break down the controversial Firefox update this week.

They talk about the various programs for health and wellness that Jewish Family Services offer and how JFS is The post Inside The Senior Alliance: Jewish Family Services offers with Lynn Breur, Senior Director of Community Outreach and Wellness (Ep 23) appeared first on The Senior Alliance.

Hamilton County Job & Families Services announced Wednesday July 27th that they are not accepting new Emergency Rental Assistance Program applications (ERAP) due to funding issues. Those who have already submitted applications for the program reportedly will not be affected. JFS said it is still processing those applications and will Read More Shared by United Resource Connection July 27, 2022

To lose yourself or see yourself from the outside looking in. Not worried about being micromanaged, playing free and escaping whatever's going on in your life. How hard is that? It can be very unless you consistently surround yourself with people who never put themselves above the music. Learning to converse improvisationally and going off into space is not something every musician can contribute all the time. My guest is an example of a musician who does it most of the time. Ask Pharoah Sanders or the timeless Tisziji Munoz. What my guest has in common with these masters is that he feels completely at peace when he's playing. He might be churning out patterns of hyperbolic rhythms but he is in his yogic state. Even with the physical movements of the arms and the legs and the feat he is sleeping. He is at peace. Life is not always peaceful especially if your a professional artists. You have to know your instrument, hone your sound, be a leader and a teammate at the same time and find places to play that believe in the profession of music. That it's not a pay to play game, that music is to be felt and is not for pacification, that you need to burn and go beyond the atmosphere because we will be leaving this planet for other worlds. The Harmony of The Underworld, being friends with the Devil and realizing the Devil is just alright with me. Playing music of the soul is not for the faint of heart and my guess is still working on his individual growth. He is not content with being static. He knows if you don't swing the band and stay warm you might get frostbite in those cold Canadian Winters. Franklyn Kiermyer welcome to the JFS....

It's getting hot in Smith's studio and he claims that sitting on cold rice can help. Joe does a little fact-checking on a supposed JS quote. The guys also mistake where the “save Jesus only” quote is, but they figure it out eventually. The guys aren't sure whether the JS quote really came from him or not. Smith reminds the listener that if they disagree with him, they're probably disagreeing with God too. Smith recaps how he feels about re-reading Rough Stone Rolling. Joe watched the Netflix Kanye West documentary (Jeen-Yuhs, 2022). He liked the documentary, but he's still a little triggered by people who take their religion too seriously. The guys mention that one big difference between polyamory and LDS polygamy is consent. Smith reminisces about the JFS story where he's “true blue through and through”. The guys are still not happy about Rusty's flex to move away from Mormon as a nickname. The church continues to double-down on anti LGBTQIA policies while stating otherwise. Joe tells a story about his MTC companion who disapproved of missionaries building a snowman.  Smith reads a facetious tweet from a facetious twitter account about black people keeping their first estate. The guys try out what it's like to sing praises to God for eternity in the CK. It's been a long time since Joe has seen Mannequin (1987) and Smith has never seen it. Joe had to do some explaining after watching some Dave Chappelle standup with his son who identifies as gay. Smith reads a quote from Rusty about God's love not being unconditional which makes Joe angry. Smith eases the tension with a sacred hymn. The guys recap some HP characters including, Henry Porter, Horgrid, Dumbledorf, and Professor McGillicuddy. The God of the BOM is a God of conditional love. The guys decide they need more sh*t to talk about HBE. Both Joe and Smith were taught that poligamy will exist in the afterlife. It takes almost an hour before the guys start reading in this one. Sam has a conversation with Lehi about not wanting to have to hang out with Nephi after Lehi dies. Joe gets excited thinking about Nephi repenting of being such an a**hole to his brothers.  Smith teases everyone with some droop talk. He casts Zoram out of their presence. Joe thinks the BOM could use 80% more of some of the messages here. Is Nephi talking about building a Frankenstein? Why does the cadence change so much? Joseph Smith ROUGH STONE ROLLING By Richard Lyman Bushman https://www.penguinrandomhouse.com/books/22031/joseph-smith-by-richard-lyman-bushman/ True Blue, Depending on Who's Telling the Tale: The Redacted Story of Joseph F. Smith and the Ruffians? https://juvenileinstructor.org/true-blue-depending-on-whos-telling-the-tale-the-redacted-story-of-joseph-f-smith-and-the-ruffians/  Russel M Nelson Divine Love  “divine love…cannot correctly be characterized as unconditional” https://abn.churchofjesuschrist.org/study/ensign/2003/02/divine-love?lang=eng&adobe_mc_ref=https%3A%2F%2Fwww.churchofjesuschrist.org%2Fstudy%2Fensign%2F2003%2F02%2Fdivine-love%3Flang%3Deng&adobe_mc_sdid=SDID%3D5398AB9BA629B12E-5790299054E90DEA%7CMCORGID%3D66C5485451E56AAE0A490D45%2540AdobeOrg%7CTS%3D1652217199 Email us at joeandsmithpod@gmail.com Music Provided by Eric VanAusdal with permission from the artist. The Book of Mormon is publicly available at churchofjesuschrist.org    Remember who you are and what you stand for  

A master is someone who teaches, a master is someone who sacrifices and loves themselves. To master is knowing how to access your native gifts. As far as my guest is concerned that translates out to being one of the most in demand, highly respected, versatile bassists in the world. He was raised by his musical elders like Richard Davis who had been a guest twice on this show. The Pisces swimming upstream downstream always adapting, always churning, overcoming. Astrology aside my guest has played with The Queen of Soul Aretha Franklin for the last 50 years. That was in between studying and watching Mingus dual with Dolphy in some mob run club. Lock the groove, play free, play a blues before the word funk even came into the lexicon. He's played and recorded with King Curtis, Jim Pepper, Duane and Gregg Allman, Eddie Harris, Gil Scott Heron, The Voices of East Harlem and Shirley Scott. A master gives back like Ali Akbar Kahn and Jerry Wexler and Dizzy Gillespie. Knowing their instrument, knowing their strengths like Chuck Rainey or Bernard Purdie or the late great Richard Tee.......my guest today is giving back on multiple levels including mixing live iconic music with youth baseball. Something only Jackie Robinson would have dreamed off.... Jerry Jemmott welcome to the JFS

JusticeforColombia.org took a delegation of Irish and British trade unionists and politicians to Colombia during the first round of elections on the 29th May 2022 , here we talk to delegates and JFS workers about the chances for real change in Colombia and the elections results.

All's fair when the colors are green and grey. You're not judged but included, you're seen for what you bring to the weigh room with DD and JD and Maz Madorsky...... My guest today was a perennial weight room activist. But he was a leader way before then as the son of a kosher butcher who could afford to send his three suns to camp under a Rhinecliff Moon. My guest was the eldest of the three brothers and the person who changed my outlook on Scatico for the last nine years of my career. The more I think about it it was my emergence into Jake Feinberg that was occurring only to be cultivated by my guest. He have me jobs within activities, he allowed me to get comfortable with my voice reenacting the Rocky soundtracks as Jack played the part of Carl Weathers. His even keeled temperament lent itself to a rag tag but fiercely individualistic division. He found a way to put a roof over all of our heads and turn us into the 1c posse. Where Shaun Locke would come and blow bubbles in your face @ 3 in the morning. We hoped he never would leave but our summer was his final summer. Leaving a group to carry the upper hill while he headed off to Cornell. His brothers flourished in different ways then he but again we connect with the lineage of life and blood. We are all different yet the same. We are all free yet entrapped in the idea that camp made us who we are today DP welcome to the JFS.....

My guest today on the JFS was the equivalent of a five tool player in baseball; meaning that he can throw, hit, catch, run, and hit for power. In the case of Ramon Banda it is spelled out in rhythms and instruments. Tex/Mex Polka, Cha Cha Cha, Mambo, Swing, Bossa, Psychadelic Rock, Organ/grinder, blues and Free Jazz. In terms of instruments it's the drum kit, timbales, fuzz electric guitar, and the bearded gourds. He has teamed up with his brother Tony to form one of the most formidable bands on the west coast. When he's not gigging with the family he holds down the beat with "The Skipper" Henry Franklin who refers to Ramon as an animal. He recently came off a multi-city, multi-state tour with B-3 legend Joey Defrancesco. Music is Life, Enjoy it. JF

Folks welcome to the JFS. My guest today is a first rate drummer who has enhanced countless studio and live musical sessions. He has gigged with jazz vocalists, played in both acoustic and electric settings and is not just a whiz on the kit but has a profound understanding of percussive instruments as well. He came up during a time when idioms were present but it was in conjunction with an adherence to developing his own unique sound. Individual sound interwoven within bossa rhythms or Afro Cuban rhythms or electronica or straight ahead bop and beyond. Still swinging in the big apple Bruce Ditmas welcome to the JFS.

Dateline New Haven: Funeral Director Jimmy Shure & JFS by WNHH Community Radio

Episode 31 is an opportunity to take a look at two organizations in Palm Beach County giving much needed services to some of our residents with special needs.   Our first guest is Sharon Alexnder. She serves as the CEO of Unicorn Children's Foundation in Boca Raton, Fla. It is a one of a kind organization that changes the lives of people living with developmental differences who are disconnected, isolated, and need support.    In 2015, Sharon founded and continues to lead the Special Needs Advisory Coalition of Palm Beach County, a collective impact project comprised of more than 600 individuals representing more than 160 organizations who are collaborating to create a more inclusive and supportive community.   Our second guest is Danielle Hartman. Hartman joined Ruth & Norman Rales Jewish Family Services (JFS) as President and CEO in March 2010.    Danielle is joined by Aliyah Longhurst, Director of the Toby and Leon Cooperman Therapy & Family Resource Center (a dividion of JFS). Aliyah comes to JFS with over 20 years of experience working within the mental and behavioral health field with children and families. Aliyah has spent the past 13 years working with children with special needs and their families in Palm Beach County.    Ruth & Norman Rales Jewish Family Services (JFS), through the Center for Families & Children offers a number of supports for families with special needs. Individual and Family Counseling; Support groups for parents, caregivers, siblings and grandparents; Psychiatric Services; Psychological Testing Services; Food & Financial Assistance; and Respite care training program for future special needs workers.    Unicorn Children's Foundation is dedicated to creating cradle to career pathways for kids and young adults with developmental differences and helping their families navigate the complex journey.    Our last guest is Dr Marlene Sotelo, Executive Director of Els for Autism®. Els is a game-changing resource, delivering and facilitating programs that are examples of what can be available to people with autism spectrum disorder (ASD).   They are committed to better understanding the aspirations of people with autism spectrum disorder and helping them to fulfill their potential to lead positive, productive and rewarding lives. The Foundation provides high-quality information, intervention, education and support to local, state, national, and international families of diverse cultures. In addition they provide programs based on best practices and develop innovative interventions through investigative study and analysis.   If you or someone you know has a family member with special needs, this program will offer useful information on the services available.

JF Dubeau is back this week to chat with Travis about both of their first times watching Attack the Block (it was mere minutes fresh in JFs head), a 2011 Sci-Fi Monster movie set in an Estate Block of East London. It's also an early movie starring John Boyega and Jodie Whittaker. So, is the movie as good as they've heard? Or is it just another "Hoodie Horror" movie. Let's find out Thanks go out to Audie Norman (@OddlyNormalOne) for the album art. Outro music "In Pursuit" provided by Purple-Planet.net

In this episode of Mission CTRL, Ramon is joined by one of his colleagues, Jenny Smith, Founder and Owner of Bloomfield, CT - based Acuity Public Relations. Jenny is the consummate professional with an impressive and colorful career in Public Relations and Communications that has taken her from the heartland of America to Puerto Rico, California and beyond. In this episode, Jenny shares how she first discovered her gift for writing and communications and built a career that has culminated in her being at the helm of her own firm. Peralta Design recently collaborated with Jenny and Acuity in a large-scale rebrand and relaunch of Care at Home by JFS. A master storyteller, Jenny takes us back to 1984, when she first started creating successful marketing and public relations programs for private sector, government and not-for-profit clients.

In this episode, Adam and Joe have a conversation with Dr. Lonnie Rowell, who is one of the founding figures of the Action Research movement. He is a co-founder and president of the Social Publishers Foundation (socialpublishersfoundation.org), and a retired professor at the University of San Diego, School of Leadership and Education Sciences. He is also a co-founder and lead organizer in establishing the Action Research Network of the Americas (ARNA). Starting with the lightning round, Joe and Adam ask Lonnie simple yet deep questions to explore the “what”, “who” and “how” of Action Research (2:23). To dig deeper into some of these concepts, Joe asks about the differences between the many of action research paradigms (7:34) to which Lonnie responds by discussing the tension between academic-based action research and community-based work, and how we situate knowledge democratization and knowledge production in these tensions. Later in the episode, Adam raises a significant question about how we acknowledge the tension between urban migration and communities disappearing- “…I have been seeing over the years that these communities are starting to disappear, and why is that? It's because of urban migration and it's because in the education system there's a message being shared that there is no value in being a farmer…they're not teaching Quechua; they're learning in Spanish and English…. And you're seeing these communities disappear.” (26:18) Adam's question brings us back to knowledge democratisation and the question of “who” is the holder of knowledge. The conversation does not end here. Tune in to know how our trio weaves their discussion to address this issue! Resources Check out the Social Publishers Foundation: socialpublishersfoundation.org And the Action Research Network of the Americas: arnawebsite.org References Rowell, L. & Call-Cummings, M. (2020). Knowledge Democracy, Action Research, the Internet and the Epistemic Crisis. Journal of Futures Studies, 24(4). https://doi.org/10.6531/JFS.202006_24(4).0007 Hong, E., & Rowell, L. (2019). Challenging knowledge monopoly in education in the U.S. through democratizing knowledge production and dissemination. Educational Action Research, 27(1), 125–143. https://doi.org/10.1080/09650792.2018.1534694 Rowell, L. (2018). A brief update from across the big pond's troubled waters: Beliefs, science, politics, and action research. Educational Action Research, 26(1), 4–8. https://doi.org/10.1080/09650792.2017.1417773 Beck, C. (2017). Informal action research: The nature and contribution of everyday classroom inquiry. In the Palgrave international handbook of action research (pp. 37-48). Palgrave Macmillan, New York.  Boyer, E. L. (1996). The scholarship of engagement. Bulletin of the American Academy of Arts and Sciences, 49(7), 18-33.  Del Pino, M., & Ferrada, D. (2019). Construction of educational knowledge with the Mapuche community through dialogical-kishu kimkelay ta che research. Educational Action Research, 27(3), 414-434.  Freire, P. (2018). Pedagogy of the oppressed. Bloomsbury publishing USA.  Horton, M., & Freire, P. (1990). We make the road by walking: Conversations on education and social change. Temple University Press.  Neill, A. S. (1960). Summerhill: A radical approach to child rearing.  Pine, G. J. (2008). Teacher action research: Building knowledge democracies. Sage.  Rappaport, J. (2020). Cowards Don't Make History: Orlando Fals Borda and the Origins of Participatory Action Research. Duke University Press.  **If you have your own questions about Action Research or want to share any feedback, contact us on Twitter @The_ARpod or write to us at ActionResearchPod@gmail.com.**    

As the COVID-19 pandemic enters its second year, more families and individuals in the Coachella Valley are impacted by financial challenges and mental health matters. JFS of the Desert helps people regardless of religious beliefs with keeping a roof over their head and mental health services through tele-help in this crisis. Executive Director Kraig Johnson joins John McMullen to discuss the range of help that Jewish Family Service of the Desert offers people in need at all times.Website: www.JFSDesert.org

Jewish Family Service of the Desert has teamed up with DAP Health to serve Holocaust Survivors living in the Coachella Valley with COVID-19 vaccinations. Community Outreach Director for JFS Desert Julie Hirsh joins John McMullen to talk about this collaboration and about the mission and some other services provided by JFS.