Podcasts about jeweller

In this episode I am joined with Danny the Jeweller. The owner of The Secret Garden Jewellers & Trade in Time. Danny is an expert in the watch space and has sold millions in timepieces. In the podcast we discuss his journey from previous illegal activity to becoming a legitimate businessman and one of the most respected watch dealers in London. We also discuss the best watches to buy right now for investment value and what makes luxury timepieces so sought after.USE CODE "CEOCAST" FOR 10% OFF YOUR ORDER AT SUNNA SUPPLEMENTS:https://sunnasupplements.comFollow CEOCAST On All Platforms Here!Instagram: https://www.instagram.com/ceocast/Youtube: https://www.youtube.com/ceocastFollow Danny Here:https://www.instagram.com/dannythejewellerofficial/Follow Raheem Here:https://www.instagram.com/raheemka/ @MrCEOX 

Melbourne-based Moissanite Engagement Rings now offers a custom design service to couples across Australia, making it easier than ever before to create the perfect moissanite jewellery piece. Go to https://moissaniteengagementrings.com.au/ for more information. Moissanite Engagement Rings City: Southbank Address: Level 7, 80 Dorcas St Website: https://moissaniteengagementrings.com.au/

The Power Of Women podcast with Di Gillett & Talitha Cummins, a former broadcast journalist turned entrepreneur. Talitha shares her journey from a successful media career to a complete career-change, disrupting the jewellery market with her own business specialising in lab-grown diamonds. She opens up about her struggles with alcoholism and the importance of recovery as she made the journey to sobriety. The conversation also touches on women's health issues, which again finds us talking about menopause, and the need for greater awareness and support. Talitha emphasises the empowerment that comes with overcoming personal challenges, the importance of pursuing one's passions and the resilience required to push through fear and uncertainty. KEY TOPICSFrom broadcasting to business: A new chapterFinding recovery: The path to sobrietyThe rise & disruption of lab-grown diamondsNavigating the jewellery Industry: Customization and consumer trendsEmpowering women: Challenges and conversations on menopause New podcast episodes drop every Monday to power your week. WHO IS TALTHA CUMMINS?Talitha is a former Broadcast Journalist and now Founder and Design Director of The Cut Jewellery, a modern jewellery brand on a mission to change the way consumers purchase jewellery. FIND TALITHA AT:LinkedIn https://www.linkedin.com/in/talithacummins/Website https://thecutjewellery.com.au/Instagram https://www.instagram.com/thecutjewellery/ OTHER EPISODES:Listen to our episode with Sheridan Rose Shaw about overcoming addiction: https://shows.acast.com/the-power-of-women-podcast/episodes/ep47-sheridan-rose-shaw-from-addiction-to-entrepreneur-advoc CONNECT WITH DI & POWER OF WOMEN: LinkedIn https://www.linkedin.com/in/di-gillett-power-of-women/ Instagram https://www.instagram.com/power_of_women_podcast/ Contact https://powerofwomen.com.au/contact/ Be the first to catch inspiring interviews, empowering stories, and thought-provoking content. Follow the podcast, share the episodes & hit that subscribe button so you never miss an episode.Subscribe on YouTube: https://www.youtube.com/channel/UCeuAx74qUBrHxaQPEnxRpTw?sub_confirmation=1Follow on Apple Podcasts: https://podcasts.apple.com/us/podcast/power-of-women-podcast/id1735659590Follow on the website: https://powerofwomen.com.au/podcast/ CREDITS:Sound Design: Daryl Missen - www.vinilo.com.au DISCLAIMER: https://powerofwomen.com.au/podcast-disclaimer/ Hosted on Acast. See acast.com/privacy for more information.

INTERVIEW: Jeweller Johnny Dimery on setting up shop in Ōtepoti by Zac Hoffman on Radio One 91FM Dunedin

This episode is a cornucopia of recommendations. Music, jewellery, a ski hotel and books that will change your life. Please send us your ideas to our instagram @makingthecutpodcast.The Lowdown - https://thelowdown.com/You Can Do It by Caribou - https://www.youtube.com/watch?v=VrPVSz3bBq4The Alchemist - https://www.goodreads.com/book/show/18144590-the-alchemistThe Missing Piece Meets The Big O - https://www.shelsilverstein.com/9780060256579/the-missing-piece-meets-the-big-o/Share and Repair - https://shareandrepair.org.uk/We Free Women - https://www.wefreewomen.org/Mottaret Hotel and Spa - https://www.hotellemottaret.com/en/hotelIsolated Jewellery - https://isolatedjewellery.com/Avalaya - https://www.amazon.co.uk/Jewellery-Avalaya/s?rh=n%3A193716031%2Cp_4%3AAvalayaHistory Photographed - https://www.instagram.com/historyphotographed/Spudos - https://spudos.com/Boy Swallows Universe - https://www.imdb.com/title/tt10399902/American Fiction https://www.imdb.com/title/tt23561236/Scamp and Dude - https://scampanddude.com/Sophie Morris - https://www.instagram.com/sophie_morris/?hl=en Hosted on Acast. See acast.com/privacy for more information.

If you're looking for an ethically sourced engagement ring anywhere in Australia, arrange an appointment with Melbourne-based Moissanite Engagement Rings, and discover why moissanite is taking the world by storm. Go to https://moissaniteengagementrings.com.au/ for more information. Moissanite Engagement Rings City: Southbank Address: Level 7, 80 Dorcas St Website: https://moissaniteengagementrings.com.au/

Live95's Sorcha Burke talks to Limerick Jeweller, Tadhg Kearney, about Valentine's Day proposals, and if they are still common today. Hosted on Acast. See acast.com/privacy for more information.

Welcome back to season 3 of Creative Rituals! My first guest to kick off season 3 is the bespoke engagement ring designer Sophie Whitelaw. After training as a gemologist in Antwerp, Sophie is now the founder of her successful business Whitelaw Gold, creating beautifully unique, personal pieces that celebrate the style and personality of the people who wear them. Having just got engaged myself it was the perfect time for this chat, and we dive into all things proposal related, mood boards, the magic and creativity involved in Sophie's job, and her favourite daily ritual as a creative working in London.Find Sophie on Instagram here and her website hereFind Georgie hereLinks:Miranda Does Brands90s AnxietyHatton GardenThe Flying HorseWe Live in Time Hosted on Acast. See acast.com/privacy for more information.

Technology developed by Wellington jeweller The Village Goldsmith has been picked up by the global luxury brand Tiffany, in a new range designed by American musician and fashion designer Pharrell Williams. 

Due to overwhelming demand (>15x applications:slots), we are closing CFPs for AI Engineer Summit NYC today. Last call! Thanks, we'll be reaching out to all shortly!The world's top AI blogger and friend of every pod, Simon Willison, dropped a monster 2024 recap: Things we learned about LLMs in 2024. Brian of the excellent TechMeme Ride Home pinged us for a connection and a special crossover episode, our first in 2025. The target audience for this podcast is a tech-literate, but non-technical one. You can see Simon's notes for AI Engineers in his World's Fair Keynote.Timestamp* 00:00 Introduction and Guest Welcome* 01:06 State of AI in 2025* 01:43 Advancements in AI Models* 03:59 Cost Efficiency in AI* 06:16 Challenges and Competition in AI* 17:15 AI Agents and Their Limitations* 26:12 Multimodal AI and Future Prospects* 35:29 Exploring Video Avatar Companies* 36:24 AI Influencers and Their Future* 37:12 Simplifying Content Creation with AI* 38:30 The Importance of Credibility in AI* 41:36 The Future of LLM User Interfaces* 48:58 Local LLMs: A Growing Interest* 01:07:22 AI Wearables: The Next Big Thing* 01:10:16 Wrapping Up and Final ThoughtsTranscript[00:00:00] Introduction and Guest Welcome[00:00:00] Brian: Welcome to the first bonus episode of the Tech Meme Write Home for the year 2025. I'm your host as always, Brian McCullough. Listeners to the pod over the last year know that I have made a habit of quoting from Simon Willison when new stuff happens in AI from his blog. Simon has been, become a go to for many folks in terms of, you know, Analyzing things, criticizing things in the AI space.[00:00:33] Brian: I've wanted to talk to you for a long time, Simon. So thank you for coming on the show. No, it's a privilege to be here. And the person that made this connection happen is our friend Swyx, who has been on the show back, even going back to the, the Twitter Spaces days but also an AI guru in, in their own right Swyx, thanks for coming on the show also.[00:00:54] swyx (2): Thanks. I'm happy to be on and have been a regular listener, so just happy to [00:01:00] contribute as well.[00:01:00] Brian: And a good friend of the pod, as they say. Alright, let's go right into it.[00:01:06] State of AI in 2025[00:01:06] Brian: Simon, I'm going to do the most unfair, broad question first, so let's get it out of the way. The year 2025. Broadly, what is the state of AI as we begin this year?[00:01:20] Brian: Whatever you want to say, I don't want to lead the witness.[00:01:22] Simon: Wow. So many things, right? I mean, the big thing is everything's got really good and fast and cheap. Like, that was the trend throughout all of 2024. The good models got so much cheaper, they got so much faster, they got multimodal, right? The image stuff isn't even a surprise anymore.[00:01:39] Simon: They're growing video, all of that kind of stuff. So that's all really exciting.[00:01:43] Advancements in AI Models[00:01:43] Simon: At the same time, they didn't get massively better than GPT 4, which was a bit of a surprise. So that's sort of one of the open questions is, are we going to see huge, but I kind of feel like that's a bit of a distraction because GPT 4, but way cheaper, much larger context lengths, and it [00:02:00] can do multimodal.[00:02:01] Simon: is better, right? That's a better model, even if it's not.[00:02:05] Brian: What people were expecting or hoping, maybe not expecting is not the right word, but hoping that we would see another step change, right? Right. From like GPT 2 to 3 to 4, we were expecting or hoping that maybe we were going to see the next evolution in that sort of, yeah.[00:02:21] Brian: We[00:02:21] Simon: did see that, but not in the way we expected. We thought the model was just going to get smarter, and instead we got. Massive drops in, drops in price. We got all of these new capabilities. You can talk to the things now, right? They can do simulated audio input, all of that kind of stuff. And so it's kind of, it's interesting to me that the models improved in all of these ways we weren't necessarily expecting.[00:02:43] Simon: I didn't know it would be able to do an impersonation of Santa Claus, like a, you know, Talked to it through my phone and show it what I was seeing by the end of 2024. But yeah, we didn't get that GPT 5 step. And that's one of the big open questions is, is that actually just around the corner and we'll have a bunch of GPT 5 class models drop in the [00:03:00] next few months?[00:03:00] Simon: Or is there a limit?[00:03:03] Brian: If you were a betting man and wanted to put money on it, do you expect to see a phase change, step change in 2025?[00:03:11] Simon: I don't particularly for that, like, the models, but smarter. I think all of the trends we're seeing right now are going to keep on going, especially the inference time compute, right?[00:03:21] Simon: The trick that O1 and O3 are doing, which means that you can solve harder problems, but they cost more and it churns away for longer. I think that's going to happen because that's already proven to work. I don't know. I don't know. Maybe there will be a step change to a GPT 5 level, but honestly, I'd be completely happy if we got what we've got right now.[00:03:41] Simon: But cheaper and faster and more capabilities and longer contexts and so forth. That would be thrilling to me.[00:03:46] Brian: Digging into what you've just said one of the things that, by the way, I hope to link in the show notes to Simon's year end post about what, what things we learned about LLMs in 2024. Look for that in the show notes.[00:03:59] Cost Efficiency in AI[00:03:59] Brian: One of the things that you [00:04:00] did say that you alluded to even right there was that in the last year, you felt like the GPT 4 barrier was broken, like IE. Other models, even open source ones are now regularly matching sort of the state of the art.[00:04:13] Simon: Well, it's interesting, right? So the GPT 4 barrier was a year ago, the best available model was OpenAI's GPT 4 and nobody else had even come close to it.[00:04:22] Simon: And they'd been at the, in the lead for like nine months, right? That thing came out in what, February, March of, of 2023. And for the rest of 2023, nobody else came close. And so at the start of last year, like a year ago, the big question was, Why has nobody beaten them yet? Like, what do they know that the rest of the industry doesn't know?[00:04:40] Simon: And today, that I've counted 18 organizations other than GPT 4 who've put out a model which clearly beats that GPT 4 from a year ago thing. Like, maybe they're not better than GPT 4. 0, but that's, that, that, that barrier got completely smashed. And yeah, a few of those I've run on my laptop, which is wild to me.[00:04:59] Simon: Like, [00:05:00] it was very, very wild. It felt very clear to me a year ago that if you want GPT 4, you need a rack of 40, 000 GPUs just to run the thing. And that turned out not to be true. Like the, the, this is that big trend from last year of the models getting more efficient, cheaper to run, just as capable with smaller weights and so forth.[00:05:20] Simon: And I ran another GPT 4 model on my laptop this morning, right? Microsoft 5. 4 just came out. And that, if you look at the benchmarks, it's definitely, it's up there with GPT 4. 0. It's probably not as good when you actually get into the vibes of the thing, but it, it runs on my, it's a 14 gigabyte download and I can run it on a MacBook Pro.[00:05:38] Simon: Like who saw that coming? The most exciting, like the close of the year on Christmas day, just a few weeks ago, was when DeepSeek dropped their DeepSeek v3 model on Hugging Face without even a readme file. It was just like a giant binary blob that I can't run on my laptop. It's too big. But in all of the benchmarks, it's now by far the best available [00:06:00] open, open weights model.[00:06:01] Simon: Like it's, it's, it's beating the, the metalamas and so forth. And that was trained for five and a half million dollars, which is a tenth of the price that people thought it costs to train these things. So everything's trending smaller and faster and more efficient.[00:06:15] Brian: Well, okay.[00:06:16] Challenges and Competition in AI[00:06:16] Brian: I, I kind of was going to get to that later, but let's, let's combine this with what I was going to ask you next, which is, you know, you're talking, you know, Also in the piece about the LLM prices crashing, which I've even seen in projects that I'm working on, but explain Explain that to a general audience, because we hear all the time that LLMs are eye wateringly expensive to run, but what we're suggesting, and we'll come back to the cheap Chinese LLM, but first of all, for the end user, what you're suggesting is that we're starting to see the cost come down sort of in the traditional technology way of Of costs coming down over time,[00:06:49] Simon: yes, but very aggressively.[00:06:51] Simon: I mean, my favorite thing, the example here is if you look at GPT-3, so open AI's g, PT three, which was the best, a developed model in [00:07:00] 2022 and through most of 20 2023. That, the models that we have today, the OpenAI models are a hundred times cheaper. So there was a 100x drop in price for OpenAI from their best available model, like two and a half years ago to today.[00:07:13] Simon: And[00:07:14] Brian: just to be clear, not to train the model, but for the use of tokens and things. Exactly,[00:07:20] Simon: for running prompts through them. And then When you look at the, the really, the top tier model providers right now, I think, are OpenAI, Anthropic, Google, and Meta. And there are a bunch of others that I could list there as well.[00:07:32] Simon: Mistral are very good. The, the DeepSeq and Quen models have got great. There's a whole bunch of providers serving really good models. But even if you just look at the sort of big brand name providers, they all offer models now that are A fraction of the price of the, the, of the models we were using last year.[00:07:49] Simon: I think I've got some numbers that I threw into my blog entry here. Yeah. Like Gemini 1. 5 flash, that's Google's fast high quality model is [00:08:00] how much is that? It's 0. 075 dollars per million tokens. Like these numbers are getting, So we just do cents per million now,[00:08:09] swyx (2): cents per million,[00:08:10] Simon: cents per million makes, makes a lot more sense.[00:08:12] Simon: Yeah they have one model 1. 5 flash 8B, the absolute cheapest of the Google models, is 27 times cheaper than GPT 3. 5 turbo was a year ago. That's it. And GPT 3. 5 turbo, that was the cheap model, right? Now we've got something 27 times cheaper, and the Google, this Google one can do image recognition, it can do million token context, all of those tricks.[00:08:36] Simon: But it's, it's, it's very, it's, it really is startling how inexpensive some of this stuff has got.[00:08:41] Brian: Now, are we assuming that this, that happening is directly the result of competition? Because again, you know, OpenAI, and probably they're doing this for their own almost political reasons, strategic reasons, keeps saying, we're losing money on everything, even the 200.[00:08:56] Brian: So they probably wouldn't, the prices wouldn't be [00:09:00] coming down if there wasn't intense competition in this space.[00:09:04] Simon: The competition is absolutely part of it, but I have it on good authority from sources I trust that Google Gemini is not operating at a loss. Like, the amount of electricity to run a prompt is less than they charge you.[00:09:16] Simon: And the same thing for Amazon Nova. Like, somebody found an Amazon executive and got them to say, Yeah, we're not losing money on this. I don't know about Anthropic and OpenAI, but clearly that demonstrates it is possible to run these things at these ludicrously low prices and still not be running at a loss if you discount the Army of PhDs and the, the training costs and all of that kind of stuff.[00:09:36] Brian: One, one more for me before I let Swyx jump in here. To, to come back to DeepSeek and this idea that you could train, you know, a cutting edge model for 6 million. I, I was saying on the show, like six months ago, that if we are getting to the point where each new model It would cost a billion, ten billion, a hundred billion to train that.[00:09:54] Brian: At some point it would almost, only nation states would be able to train the new models. Do you [00:10:00] expect what DeepSeek and maybe others are proving to sort of blow that up? Or is there like some sort of a parallel track here that maybe I'm not technically, I don't have the mouse to understand the difference.[00:10:11] Brian: Is the model, are the models going to go, you know, Up to a hundred billion dollars or can we get them down? Sort of like DeepSeek has proven[00:10:18] Simon: so I'm the wrong person to answer that because I don't work in the lab training these models. So I can give you my completely uninformed opinion, which is, I felt like the DeepSeek thing.[00:10:27] Simon: That was a bomb shell. That was an absolute bombshell when they came out and said, Hey, look, we've trained. One of the best available models and it cost us six, five and a half million dollars to do it. I feel, and they, the reason, one of the reasons it's so efficient is that we put all of these export controls in to stop Chinese companies from giant buying GPUs.[00:10:44] Simon: So they've, were forced to be, go as efficient as possible. And yet the fact that they've demonstrated that that's possible to do. I think it does completely tear apart this, this, this mental model we had before that yeah, the training runs just keep on getting more and more expensive and the number of [00:11:00] organizations that can afford to run these training runs keeps on shrinking.[00:11:03] Simon: That, that's been blown out of the water. So yeah, that's, again, this was our Christmas gift. This was the thing they dropped on Christmas day. Yeah, it makes me really optimistic that we can, there are, It feels like there was so much low hanging fruit in terms of the efficiency of both inference and training and we spent a whole bunch of last year exploring that and getting results from it.[00:11:22] Simon: I think there's probably a lot left. I think there's probably, well, I would not be surprised to see even better models trained spending even less money over the next six months.[00:11:31] swyx (2): Yeah. So I, I think there's a unspoken angle here on what exactly the Chinese labs are trying to do because DeepSea made a lot of noise.[00:11:41] swyx (2): so much for joining us for around the fact that they train their model for six million dollars and nobody quite quite believes them. Like it's very, very rare for a lab to trumpet the fact that they're doing it for so cheap. They're not trying to get anyone to buy them. So why [00:12:00] are they doing this? They make it very, very obvious.[00:12:05] swyx (2): Deepseek is about 150 employees. It's an order of magnitude smaller than at least Anthropic and maybe, maybe more so for OpenAI. And so what's, what's the end game here? Are they, are they just trying to show that the Chinese are better than us?[00:12:21] Simon: So Deepseek, it's the arm of a hedge, it's a, it's a quant fund, right?[00:12:25] Simon: It's an algorithmic quant trading thing. So I, I, I would love to get more insight into how that organization works. My assumption from what I've seen is it looks like they're basically just flexing. They're like, hey, look at how utterly brilliant we are with this amazing thing that we've done. And it's, it's working, right?[00:12:43] Simon: They but, and so is that it? Are they, is this just their kind of like, this is, this is why our company is so amazing. Look at this thing that we've done, or? I don't know. I'd, I'd love to get Some insight from, from within that industry as to, as to how that's all playing out.[00:12:57] swyx (2): The, the prevailing theory among the Local Llama [00:13:00] crew and the Twitter crew that I indexed for my newsletter is that there is some amount of copying going on.[00:13:06] swyx (2): It's like Sam Altman you know, tweet, tweeting about how they're being copied. And then also there's this, there, there are other sort of opening eye employees that have said, Stuff that is similar that DeepSeek's rate of progress is how U. S. intelligence estimates the number of foreign spies embedded in top labs.[00:13:22] swyx (2): Because a lot of these ideas do spread around, but they surprisingly have a very high density of them in the DeepSeek v3 technical report. So it's, it's interesting. We don't know how much, how many, how much tokens. I think that, you know, people have run analysis on how often DeepSeek thinks it is cloud or thinks it is opening GPC 4.[00:13:40] swyx (2): Thanks for watching! And we don't, we don't know. We don't know. I think for me, like, yeah, we'll, we'll, we basically will never know as, as external commentators. I think what's interesting is how, where does this go? Is there a logical floor or bottom by my estimations for the same amount of ELO started last year to the end of last year cost went down by a thousand X for the [00:14:00] GPT, for, for GPT 4 intelligence.[00:14:02] swyx (2): Would, do they go down a thousand X this year?[00:14:04] Simon: That's a fascinating question. Yeah.[00:14:06] swyx (2): Is there a Moore's law going on, or did we just get a one off benefit last year for some weird reason?[00:14:14] Simon: My uninformed hunch is low hanging fruit. I feel like up until a year ago, people haven't been focusing on efficiency at all. You know, it was all about, what can we get these weird shaped things to do?[00:14:24] Simon: And now once we've sort of hit that, okay, we know that we can get them to do what GPT 4 can do, When thousands of researchers around the world all focus on, okay, how do we make this more efficient? What are the most important, like, how do we strip out all of the weights that have stuff in that doesn't really matter?[00:14:39] Simon: All of that kind of thing. So yeah, maybe that was it. Maybe 2024 was a freak year of all of the low hanging fruit coming out at once. And we'll actually see a reduction in the, in that rate of improvement in terms of efficiency. I wonder, I mean, I think we'll know for sure in about three months time if that trend's going to continue or not.[00:14:58] swyx (2): I agree. You know, I [00:15:00] think the other thing that you mentioned that DeepSeq v3 was the gift that was given from DeepSeq over Christmas, but I feel like the other thing that might be underrated was DeepSeq R1,[00:15:11] Speaker 4: which is[00:15:13] swyx (2): a reasoning model you can run on your laptop. And I think that's something that a lot of people are looking ahead to this year.[00:15:18] swyx (2): Oh, did they[00:15:18] Simon: release the weights for that one?[00:15:20] swyx (2): Yeah.[00:15:21] Simon: Oh my goodness, I missed that. I've been playing with the quen. So the other great, the other big Chinese AI app is Alibaba's quen. Actually, yeah, I, sorry, R1 is an API available. Yeah. Exactly. When that's really cool. So Alibaba's Quen have released two reasoning models that I've run on my laptop.[00:15:38] Simon: Now there was, the first one was Q, Q, WQ. And then the second one was QVQ because the second one's a vision model. So you can like give it vision puzzles and a prompt that these things, they are so much fun to run. Because they think out loud. It's like the OpenAR 01 sort of hides its thinking process. The Query ones don't.[00:15:59] Simon: They just, they [00:16:00] just churn away. And so you'll give it a problem and it will output literally dozens of paragraphs of text about how it's thinking. My favorite thing that happened with QWQ is I asked it to draw me a pelican on a bicycle in SVG. That's like my standard stupid prompt. And for some reason it thought in Chinese.[00:16:18] Simon: It spat out a whole bunch of like Chinese text onto my terminal on my laptop, and then at the end it gave me quite a good sort of artistic pelican on a bicycle. And I ran it all through Google Translate, and yeah, it was like, it was contemplating the nature of SVG files as a starting point. And the fact that my laptop can think in Chinese now is so delightful.[00:16:40] Simon: It's so much fun watching you do that.[00:16:43] swyx (2): Yeah, I think Andrej Karpathy was saying, you know, we, we know that we have achieved proper reasoning inside of these models when they stop thinking in English, and perhaps the best form of thought is in Chinese. But yeah, for listeners who don't know Simon's blog he always, whenever a new model comes out, you, I don't know how you do it, but [00:17:00] you're always the first to run Pelican Bench on these models.[00:17:02] swyx (2): I just did it for 5.[00:17:05] Simon: Yeah.[00:17:07] swyx (2): So I really appreciate that. You should check it out. These are not theoretical. Simon's blog actually shows them.[00:17:12] Brian: Let me put on the investor hat for a second.[00:17:15] AI Agents and Their Limitations[00:17:15] Brian: Because from the investor side of things, a lot of the, the VCs that I know are really hot on agents, and this is the year of agents, but last year was supposed to be the year of agents as well. Lots of money flowing towards, And Gentic startups.[00:17:32] Brian: But in in your piece that again, we're hopefully going to have linked in the show notes, you sort of suggest there's a fundamental flaw in AI agents as they exist right now. Let me let me quote you. And then I'd love to dive into this. You said, I remain skeptical as to their ability based once again, on the Challenge of gullibility.[00:17:49] Brian: LLMs believe anything you tell them, any systems that attempt to make meaningful decisions on your behalf, will run into the same roadblock. How good is a travel agent, or a digital assistant, or even a research tool, if it [00:18:00] can't distinguish truth from fiction? So, essentially, what you're suggesting is that the state of the art now that allows agents is still, it's still that sort of 90 percent problem, the edge problem, getting to the Or, or, or is there a deeper flaw?[00:18:14] Brian: What are you, what are you saying there?[00:18:16] Simon: So this is the fundamental challenge here and honestly my frustration with agents is mainly around definitions Like any if you ask anyone who says they're working on agents to define agents You will get a subtly different definition from each person But everyone always assumes that their definition is the one true one that everyone else understands So I feel like a lot of these agent conversations, people talking past each other because one person's talking about the, the sort of travel agent idea of something that books things on your behalf.[00:18:41] Simon: Somebody else is talking about LLMs with tools running in a loop with a cron job somewhere and all of these different things. You, you ask academics and they'll laugh at you because they've been debating what agents mean for over 30 years at this point. It's like this, this long running, almost sort of an in joke in that community.[00:18:57] Simon: But if we assume that for this purpose of this conversation, an [00:19:00] agent is something that, Which you can give a job and it goes off and it does that thing for you like, like booking travel or things like that. The fundamental challenge is, it's the reliability thing, which comes from this gullibility problem.[00:19:12] Simon: And a lot of my, my interest in this originally came from when I was thinking about prompt injections as a source of this form of attack against LLM systems where you deliberately lay traps out there for this LLM to stumble across,[00:19:24] Brian: and which I should say you have been banging this drum that no one's gotten any far, at least on solving this, that I'm aware of, right.[00:19:31] Brian: Like that's still an open problem. The two years.[00:19:33] Simon: Yeah. Right. We've been talking about this problem and like, a great illustration of this was Claude so Anthropic released Claude computer use a few months ago. Fantastic demo. You could fire up a Docker container and you could literally tell it to do something and watch it open a web browser and navigate to a webpage and click around and so forth.[00:19:51] Simon: Really, really, really interesting and fun to play with. And then, um. One of the first demos somebody tried was, what if you give it a web page that says download and run this [00:20:00] executable, and it did, and the executable was malware that added it to a botnet. So the, the very first most obvious dumb trick that you could play on this thing just worked, right?[00:20:10] Simon: So that's obviously a really big problem. If I'm going to send something out to book travel on my behalf, I mean, it's hard enough for me to figure out which airlines are trying to scam me and which ones aren't. Do I really trust a language model that believes the literal truth of anything that's presented to it to go out and do those things?[00:20:29] swyx (2): Yeah I definitely think there's, it's interesting to see Anthropic doing this because they used to be the safety arm of OpenAI that split out and said, you know, we're worried about letting this thing out in the wild and here they are enabling computer use for agents. Thanks. The, it feels like things have merged.[00:20:49] swyx (2): You know, I'm, I'm also fairly skeptical about, you know, this always being the, the year of Linux on the desktop. And this is the equivalent of this being the year of agents that people [00:21:00] are not predicting so much as wishfully thinking and hoping and praying for their companies and agents to work.[00:21:05] swyx (2): But I, I feel like things are. Coming along a little bit. It's to me, it's kind of like self driving. I remember in 2014 saying that self driving was just around the corner. And I mean, it kind of is, you know, like in, in, in the Bay area. You[00:21:17] Simon: get in a Waymo and you're like, Oh, this works. Yeah, but it's a slow[00:21:21] swyx (2): cook.[00:21:21] swyx (2): It's a slow cook over the next 10 years. We're going to hammer out these things and the cynical people can just point to all the flaws, but like, there are measurable or concrete progress steps that are being made by these builders.[00:21:33] Simon: There is one form of agent that I believe in. I believe, mostly believe in the research assistant form of agents.[00:21:39] Simon: The thing where you've got a difficult problem and, and I've got like, I'm, I'm on the beta for the, the Google Gemini 1. 5 pro with deep research. I think it's called like these names, these names. Right. But. I've been using that. It's good, right? You can give it a difficult problem and it tells you, okay, I'm going to look at 56 different websites [00:22:00] and it goes away and it dumps everything to its context and it comes up with a report for you.[00:22:04] Simon: And it's not, it won't work against adversarial websites, right? If there are websites with deliberate lies in them, it might well get caught out. Most things don't have that as a problem. And so I've had some answers from that which were genuinely really valuable to me. And that feels to me like, I can see how given existing LLM tech, especially with Google Gemini with its like million token contacts and Google with their crawl of the entire web and their, they've got like search, they've got search and cache, they've got a cache of every page and so forth.[00:22:35] Simon: That makes sense to me. And that what they've got right now, I don't think it's, it's not as good as it can be, obviously, but it's, it's, it's, it's a real useful thing, which they're going to start rolling out. So, you know, Perplexity have been building the same thing for a couple of years. That, that I believe in.[00:22:50] Simon: You know, if you tell me that you're going to have an agent that's a research assistant agent, great. The coding agents I mean, chat gpt code interpreter, Nearly two years [00:23:00] ago, that thing started writing Python code, executing the code, getting errors, rewriting it to fix the errors. That pattern obviously works.[00:23:07] Simon: That works really, really well. So, yeah, coding agents that do that sort of error message loop thing, those are proven to work. And they're going to keep on getting better, and that's going to be great. The research assistant agents are just beginning to get there. The things I'm critical of are the ones where you trust, you trust this thing to go out and act autonomously on your behalf, and make decisions on your behalf, especially involving spending money, like that.[00:23:31] Simon: I don't see that working for a very long time. That feels to me like an AGI level problem.[00:23:37] swyx (2): It's it's funny because I think Stripe actually released an agent toolkit which is one of the, the things I featured that is trying to enable these agents each to have a wallet that they can go and spend and have, basically, it's a virtual card.[00:23:49] swyx (2): It's not that, not that difficult with modern infrastructure. can[00:23:51] Simon: stick a 50 cap on it, then at least it's an honor. Can't lose more than 50.[00:23:56] Brian: You know I don't, I don't know if either of you know Rafat Ali [00:24:00] he runs Skift, which is a, a travel news vertical. And he, he, he constantly laughs at the fact that every agent thing is, we're gonna get rid of booking a, a plane flight for you, you know?[00:24:11] Brian: And, and I would point out that, like, historically, when the web started, the first thing everyone talked about is, You can go online and book a trip, right? So it's funny for each generation of like technological advance. The thing they always want to kill is the travel agent. And now they want to kill the webpage travel agent.[00:24:29] Simon: Like it's like I use Google flight search. It's great, right? If you gave me an agent to do that for me, it would save me, I mean, maybe 15 seconds of typing in my things, but I still want to see what my options are and go, yeah, I'm not flying on that airline, no matter how cheap they are.[00:24:44] swyx (2): Yeah. For listeners, go ahead.[00:24:47] swyx (2): For listeners, I think, you know, I think both of you are pretty positive on NotebookLM. And you know, we, we actually interviewed the NotebookLM creators, and there are actually two internal agents going on internally. The reason it takes so long is because they're running an agent loop [00:25:00] inside that is fairly autonomous, which is kind of interesting.[00:25:01] swyx (2): For one,[00:25:02] Simon: for a definition of agent loop, if you picked that particularly well. For one definition. And you're talking about the podcast side of this, right?[00:25:07] swyx (2): Yeah, the podcast side of things. They have a there's, there's going to be a new version coming out that, that we'll be featuring at our, at our conference.[00:25:14] Simon: That one's fascinating to me. Like NotebookLM, I think it's two products, right? On the one hand, it's actually a very good rag product, right? You dump a bunch of things in, you can run searches, that, that, it does a good job of. And then, and then they added the, the podcast thing. It's a bit of a, it's a total gimmick, right?[00:25:30] Simon: But that gimmick got them attention, because they had a great product that nobody paid any attention to at all. And then you add the unfeasibly good voice synthesis of the podcast. Like, it's just, it's, it's, it's the lesson.[00:25:43] Brian: It's the lesson of mid journey and stuff like that. If you can create something that people can post on socials, you don't have to lift a finger again to do any marketing for what you're doing.[00:25:53] Brian: Let me dig into Notebook LLM just for a second as a podcaster. As a [00:26:00] gimmick, it makes sense, and then obviously, you know, you dig into it, it sort of has problems around the edges. It's like, it does the thing that all sort of LLMs kind of do, where it's like, oh, we want to Wrap up with a conclusion.[00:26:12] Multimodal AI and Future Prospects[00:26:12] Brian: I always call that like the the eighth grade book report paper problem where it has to have an intro and then, you know But that's sort of a thing where because I think you spoke about this again in your piece at the year end About how things are going multimodal and how things are that you didn't expect like, you know vision and especially audio I think So that's another thing where, at least over the last year, there's been progress made that maybe you, you didn't think was coming as quick as it came.[00:26:43] Simon: I don't know. I mean, a year ago, we had one really good vision model. We had GPT 4 vision, was, was, was very impressive. And Google Gemini had just dropped Gemini 1. 0, which had vision, but nobody had really played with it yet. Like Google hadn't. People weren't taking Gemini [00:27:00] seriously at that point. I feel like it was 1.[00:27:02] Simon: 5 Pro when it became apparent that actually they were, they, they got over their hump and they were building really good models. And yeah, and they, to be honest, the video models are mostly still using the same trick. The thing where you divide the video up into one image per second and you dump that all into the context.[00:27:16] Simon: So maybe it shouldn't have been so surprising to us that long context models plus vision meant that the video was, was starting to be solved. Of course, it didn't. Not being, you, what you really want with videos, you want to be able to do the audio and the images at the same time. And I think the models are beginning to do that now.[00:27:33] Simon: Like, originally, Gemini 1. 5 Pro originally ignored the audio. It just did the, the, like, one frame per second video trick. As far as I can tell, the most recent ones are actually doing pure multimodal. But the things that opens up are just extraordinary. Like, the the ChatGPT iPhone app feature that they shipped as one of their 12 days of, of OpenAI, I really can be having a conversation and just turn on my video camera and go, Hey, what kind of tree is [00:28:00] this?[00:28:00] Simon: And so forth. And it works. And for all I know, that's just snapping a like picture once a second and feeding it into the model. The, the, the things that you can do with that as an end user are extraordinary. Like that, that to me, I don't think most people have cottoned onto the fact that you can now stream video directly into a model because it, it's only a few weeks old.[00:28:22] Simon: Wow. That's a, that's a, that's a, that's Big boost in terms of what kinds of things you can do with this stuff. Yeah. For[00:28:30] swyx (2): people who are not that close I think Gemini Flashes free tier allows you to do something like capture a photo, one photo every second or a minute and leave it on 24, seven, and you can prompt it to do whatever.[00:28:45] swyx (2): And so you can effectively have your own camera app or monitoring app that that you just prompt and it detects where it changes. It detects for, you know, alerts or anything like that, or describes your day. You know, and, and, and the fact that this is free I think [00:29:00] it's also leads into the previous point of it being the prices haven't come down a lot.[00:29:05] Simon: And even if you're paying for this stuff, like a thing that I put in my blog entry is I ran a calculation on what it would cost to process 68, 000 photographs in my photo collection, and for each one just generate a caption, and using Gemini 1. 5 Flash 8B, it would cost me 1. 68 to process 68, 000 images, which is, I mean, that, that doesn't make sense.[00:29:28] Simon: None of that makes sense. Like it's, it's a, for one four hundredth of a cent per image to generate captions now. So you can see why feeding in a day's worth of video just isn't even very expensive to process.[00:29:40] swyx (2): Yeah, I'll tell you what is expensive. It's the other direction. So we're here, we're talking about consuming video.[00:29:46] swyx (2): And this year, we also had a lot of progress, like probably one of the most excited, excited, anticipated launches of the year was Sora. We actually got Sora. And less exciting.[00:29:55] Simon: We did, and then VO2, Google's Sora, came out like three [00:30:00] days later and upstaged it. Like, Sora was exciting until VO2 landed, which was just better.[00:30:05] swyx (2): In general, I feel the media, or the social media, has been very unfair to Sora. Because what was released to the world, generally available, was Sora Lite. It's the distilled version of Sora, right? So you're, I did not[00:30:16] Simon: realize that you're absolutely comparing[00:30:18] swyx (2): the, the most cherry picked version of VO two, the one that they published on the marketing page to the, the most embarrassing version of the soa.[00:30:25] swyx (2): So of course it's gonna look bad, so, well, I got[00:30:27] Simon: access to the VO two I'm in the VO two beta and I've been poking around with it and. Getting it to generate pelicans on bicycles and stuff. I would absolutely[00:30:34] swyx (2): believe that[00:30:35] Simon: VL2 is actually better. Is Sora, so is full fat Sora coming soon? Do you know, when, when do we get to play with that one?[00:30:42] Simon: No one's[00:30:43] swyx (2): mentioned anything. I think basically the strategy is let people play around with Sora Lite and get info there. But the, the, keep developing Sora with the Hollywood studios. That's what they actually care about. Gotcha. Like the rest of us. Don't really know what to do with the video anyway. Right.[00:30:59] Simon: I mean, [00:31:00] that's my thing is I realized that for generative images and images and video like images We've had for a few years and I don't feel like they've broken out into the talented artist community yet Like lots of people are having fun with them and doing and producing stuff. That's kind of cool to look at but what I want you know that that movie everything everywhere all at once, right?[00:31:20] Simon: One, one ton of Oscars, utterly amazing film. The VFX team for that were five people, some of whom were watching YouTube videos to figure out what to do. My big question for, for Sora and and and Midjourney and stuff, what happens when a creative team like that starts using these tools? I want the creative geniuses behind everything, everywhere all at once.[00:31:40] Simon: What are they going to be able to do with this stuff in like a few years time? Because that's really exciting to me. That's where you take artists who are at the very peak of their game. Give them these new capabilities and see, see what they can do with them.[00:31:52] swyx (2): I should, I know a little bit here. So it should mention that, that team actually used RunwayML.[00:31:57] swyx (2): So there was, there was,[00:31:57] Simon: yeah.[00:31:59] swyx (2): I don't know how [00:32:00] much I don't. So, you know, it's possible to overstate this, but there are people integrating it. Generated video within their workflow, even pre SORA. Right, because[00:32:09] Brian: it's not, it's not the thing where it's like, okay, tomorrow we'll be able to do a full two hour movie that you prompt with three sentences.[00:32:15] Brian: It is like, for the very first part of, of, you know video effects in film, it's like, if you can get that three second clip, if you can get that 20 second thing that they did in the matrix that blew everyone's minds and took a million dollars or whatever to do, like, it's the, it's the little bits and pieces that they can fill in now that it's probably already there.[00:32:34] swyx (2): Yeah, it's like, I think actually having a layered view of what assets people need and letting AI fill in the low value assets. Right, like the background video, the background music and, you know, sometimes the sound effects. That, that maybe, maybe more palatable maybe also changes the, the way that you evaluate the stuff that's coming out.[00:32:57] swyx (2): Because people tend to, in social media, try to [00:33:00] emphasize foreground stuff, main character stuff. So you really care about consistency, and you, you really are bothered when, like, for example, Sorad. Botch's image generation of a gymnast doing flips, which is horrible. It's horrible. But for background crowds, like, who cares?[00:33:18] Brian: And by the way, again, I was, I was a film major way, way back in the day, like, that's how it started. Like things like Braveheart, where they filmed 10 people on a field, and then the computer could turn it into 1000 people on a field. Like, that's always been the way it's around the margins and in the background that first comes in.[00:33:36] Brian: The[00:33:36] Simon: Lord of the Rings movies were over 20 years ago. Although they have those giant battle sequences, which were very early, like, I mean, you could almost call it a generative AI approach, right? They were using very sophisticated, like, algorithms to model out those different battles and all of that kind of stuff.[00:33:52] Simon: Yeah, I know very little. I know basically nothing about film production, so I try not to commentate on it. But I am fascinated to [00:34:00] see what happens when, when these tools start being used by the real, the people at the top of their game.[00:34:05] swyx (2): I would say like there's a cultural war that is more that being fought here than a technology war.[00:34:11] swyx (2): Most of the Hollywood people are against any form of AI anyway, so they're busy Fighting that battle instead of thinking about how to adopt it and it's, it's very fringe. I participated here in San Francisco, one generative AI video creative hackathon where the AI positive artists actually met with technologists like myself and then we collaborated together to build short films and that was really nice and I think, you know, I'll be hosting some of those in my events going forward.[00:34:38] swyx (2): One thing that I think like I want to leave it. Give people a sense of it's like this is a recap of last year But then sometimes it's useful to walk away as well with like what can we expect in the future? I don't know if you got anything. I would also call out that the Chinese models here have made a lot of progress Hyde Law and Kling and God knows who like who else in the video arena [00:35:00] Also making a lot of progress like surprising him like I think maybe actually Chinese China is surprisingly ahead with regards to Open8 at least, but also just like specific forms of video generation.[00:35:12] Simon: Wouldn't it be interesting if a film industry sprung up in a country that we don't normally think of having a really strong film industry that was using these tools? Like, that would be a fascinating sort of angle on this. Mm hmm. Mm hmm.[00:35:25] swyx (2): Agreed. I, I, I Oh, sorry. Go ahead.[00:35:29] Exploring Video Avatar Companies[00:35:29] swyx (2): Just for people's Just to put it on people's radar as well, Hey Jen, there's like there's a category of video avatar companies that don't specifically, don't specialize in general video.[00:35:41] swyx (2): They only do talking heads, let's just say. And HeyGen sings very well.[00:35:45] Brian: Swyx, you know that that's what I've been using, right? Like, have, have I, yeah, right. So, if you see some of my recent YouTube videos and things like that, where, because the beauty part of the HeyGen thing is, I, I, I don't want to use the robot voice, so [00:36:00] I record the mp3 file for my computer, And then I put that into HeyGen with the avatar that I've trained it on, and all it does is the lip sync.[00:36:09] Brian: So it looks, it's not 100 percent uncanny valley beatable, but it's good enough that if you weren't looking for it, it's just me sitting there doing one of my clips from the show. And, yeah, so, by the way, HeyGen. Shout out to them.[00:36:24] AI Influencers and Their Future[00:36:24] swyx (2): So I would, you know, in terms of like the look ahead going, like, looking, reviewing 2024, looking at trends for 2025, I would, they basically call this out.[00:36:33] swyx (2): Meta tried to introduce AI influencers and failed horribly because they were just bad at it. But at some point that there will be more and more basically AI influencers Not in a way that Simon is but in a way that they are not human.[00:36:50] Simon: Like the few of those that have done well, I always feel like they're doing well because it's a gimmick, right?[00:36:54] Simon: It's a it's it's novel and fun to like Like that, the AI Seinfeld thing [00:37:00] from last year, the Twitch stream, you know, like those, if you're the only one or one of just a few doing that, you'll get, you'll attract an audience because it's an interesting new thing. But I just, I don't know if that's going to be sustainable longer term or not.[00:37:11] Simon: Like,[00:37:12] Simplifying Content Creation with AI[00:37:12] Brian: I'm going to tell you, Because I've had discussions, I can't name the companies or whatever, but, so think about the workflow for this, like, now we all know that on TikTok and Instagram, like, holding up a phone to your face, and doing like, in my car video, or walking, a walk and talk, you know, that's, that's very common, but also, if you want to do a professional sort of talking head video, you still have to sit in front of a camera, you still have to do the lighting, you still have to do the video editing, versus, if you can just record, what I'm saying right now, the last 30 seconds, If you clip that out as an mp3 and you have a good enough avatar, then you can put that avatar in front of Times Square, on a beach, or whatever.[00:37:50] Brian: So, like, again for creators, the reason I think Simon, we're on the verge of something, it, it just, it's not going to, I think it's not, oh, we're going to have [00:38:00] AI avatars take over, it'll be one of those things where it takes another piece of the workflow out and simplifies it. I'm all[00:38:07] Simon: for that. I, I always love this stuff.[00:38:08] Simon: I like tools. Tools that help human beings do more. Do more ambitious things. I'm always in favor of, like, that, that, that's what excites me about this entire field.[00:38:17] swyx (2): Yeah. We're, we're looking into basically creating one for my podcast. We have this guy Charlie, he's Australian. He's, he's not real, but he pre, he opens every show and we are gonna have him present all the shorts.[00:38:29] Simon: Yeah, go ahead.[00:38:30] The Importance of Credibility in AI[00:38:30] Simon: The thing that I keep coming back to is this idea of credibility like in a world that is full of like AI generated everything and so forth It becomes even more important that people find the sources of information that they trust and find people and find Sources that are credible and I feel like that's the one thing that LLMs and AI can never have is credibility, right?[00:38:49] Simon: ChatGPT can never stake its reputation on telling you something useful and interesting because That means nothing, right? It's a matrix multiplication. It depends on who prompted it and so forth. So [00:39:00] I'm always, and this is when I'm blogging as well, I'm always looking for, okay, who are the reliable people who will tell me useful, interesting information who aren't just going to tell me whatever somebody's paying them to tell, tell them, who aren't going to, like, type a one sentence prompt into an LLM and spit out an essay and stick it online.[00:39:16] Simon: And that, that to me, Like, earning that credibility is really important. That's why a lot of my ethics around the way that I publish are based on the idea that I want people to trust me. I want to do things that, that gain credibility in people's eyes so they will come to me for information as a trustworthy source.[00:39:32] Simon: And it's the same for the sources that I'm, I'm consulting as well. So that's something I've, I've been thinking a lot about that sort of credibility focus on this thing for a while now.[00:39:40] swyx (2): Yeah, you can layer or structure credibility or decompose it like so one thing I would put in front of you I'm not saying that you should Agree with this or accept this at all is that you can use AI to generate different Variations and then and you pick you as the final sort of last mile person that you pick The last output and [00:40:00] you put your stamp of credibility behind that like that everything's human reviewed instead of human origin[00:40:04] Simon: Yeah, if you publish something you need to be able to put it on the ground Publishing it.[00:40:08] Simon: You need to say, I will put my name to this. I will attach my credibility to this thing. And if you're willing to do that, then, then that's great.[00:40:16] swyx (2): For creators, this is huge because there's a fundamental asymmetry between starting with a blank slate versus choosing from five different variations.[00:40:23] Brian: Right.[00:40:24] Brian: And also the key thing that you just said is like, if everything that I do, if all of the words were generated by an LLM, if the voice is generated by an LLM. If the video is also generated by the LLM, then I haven't done anything, right? But if, if one or two of those, you take a shortcut, but it's still, I'm willing to sign off on it.[00:40:47] Brian: Like, I feel like that's where I feel like people are coming around to like, this is maybe acceptable, sort of.[00:40:53] Simon: This is where I've been pushing the definition. I love the term slop. Where I've been pushing the definition of slop as AI generated [00:41:00] content that is both unrequested and unreviewed and the unreviewed thing is really important like that's the thing that elevates something from slop to not slop is if A human being has reviewed it and said, you know what, this is actually worth other people's time.[00:41:12] Simon: And again, I'm willing to attach my credibility to it and say, hey, this is worthwhile.[00:41:16] Brian: It's, it's, it's the cura curational, curatorial and editorial part of it that no matter what the tools are to do shortcuts, to do, as, as Swyx is saying choose between different edits or different cuts, but in the end, if there's a curatorial mind, Or editorial mind behind it.[00:41:32] Brian: Let me I want to wedge this in before we start to close.[00:41:36] The Future of LLM User Interfaces[00:41:36] Brian: One of the things coming back to your year end piece that has been a something that I've been banging the drum about is when you're talking about LLMs. Getting harder to use. You said most users are thrown in at the deep end.[00:41:48] Brian: The default LLM chat UI is like taking brand new computer users, dropping them into a Linux terminal and expecting them to figure it all out. I mean, it's, it's literally going back to the command line. The command line was defeated [00:42:00] by the GUI interface. And this is what I've been banging the drum about is like, this cannot be.[00:42:05] Brian: The user interface, what we have now cannot be the end result. Do you see any hints or seeds of a GUI moment for LLM interfaces?[00:42:17] Simon: I mean, it has to happen. It absolutely has to happen. The the, the, the, the usability of these things is turning into a bit of a crisis. And we are at least seeing some really interesting innovation in little directions.[00:42:28] Simon: Just like OpenAI's chat GPT canvas thing that they just launched. That is at least. Going a little bit more interesting than just chat, chats and responses. You know, you can, they're exploring that space where you're collaborating with an LLM. You're both working in the, on the same document. That makes a lot of sense to me.[00:42:44] Simon: Like that, that feels really smart. The one of the best things is still who was it who did the, the UI where you could, they had a drawing UI where you draw an interface and click a button. TL draw would then make it real thing. That was spectacular, [00:43:00] absolutely spectacular, like, alternative vision of how you'd interact with these models.[00:43:05] Simon: Because yeah, the and that's, you know, so I feel like there is so much scope for innovation there and it is beginning to happen. Like, like, I, I feel like most people do understand that we need to do better in terms of interfaces that both help explain what's going on and give people better tools for working with models.[00:43:23] Simon: I was going to say, I want to[00:43:25] Brian: dig a little deeper into this because think of the conceptual idea behind the GUI, which is instead of typing into a command line open word. exe, it's, you, you click an icon, right? So that's abstracting away sort of the, again, the programming stuff that like, you know, it's, it's a, a, a child can tap on an iPad and, and make a program open, right?[00:43:47] Brian: The problem it seems to me right now with how we're interacting with LLMs is it's sort of like you know a dumb robot where it's like you poke it and it goes over here, but no, I want it, I want to go over here so you poke it this way and you can't get it exactly [00:44:00] right, like, what can we abstract away from the From the current, what's going on that, that makes it more fine tuned and easier to get more precise.[00:44:12] Brian: You see what I'm saying?[00:44:13] Simon: Yes. And the this is the other trend that I've been following from the last year, which I think is super interesting. It's the, the prompt driven UI development thing. Basically, this is the pattern where Claude Artifacts was the first thing to do this really well. You type in a prompt and it goes, Oh, I should answer that by writing a custom HTML and JavaScript application for you that does a certain thing.[00:44:35] Simon: And when you think about that take and since then it turns out This is easy, right? Every decent LLM can produce HTML and JavaScript that does something useful. So we've actually got this alternative way of interacting where they can respond to your prompt with an interactive custom interface that you can work with.[00:44:54] Simon: People haven't quite wired those back up again. Like, ideally, I'd want the LLM ask me a [00:45:00] question where it builds me a custom little UI, For that question, and then it gets to see how I interacted with that. I don't know why, but that's like just such a small step from where we are right now. But that feels like such an obvious next step.[00:45:12] Simon: Like an LLM, why should it, why should you just be communicating with, with text when it can build interfaces on the fly that let you select a point on a map or or move like sliders up and down. It's gonna create knobs and dials. I keep saying knobs and dials. right. We can do that. And the LLMs can build, and Claude artifacts will build you a knobs and dials interface.[00:45:34] Simon: But at the moment they haven't closed the loop. When you twiddle those knobs, Claude doesn't see what you were doing. They're going to close that loop. I'm, I'm shocked that they haven't done it yet. So yeah, I think there's so much scope for innovation and there's so much scope for doing interesting stuff with that model where the LLM, anything you can represent in SVG, which is almost everything, can now be part of that ongoing conversation.[00:45:59] swyx (2): Yeah, [00:46:00] I would say the best executed version of this I've seen so far is Bolt where you can literally type in, make a Spotify clone, make an Airbnb clone, and it actually just does that for you zero shot with a nice design.[00:46:14] Simon: There's a benchmark for that now. The LMRena people now have a benchmark that is zero shot app, app generation, because all of the models can do it.[00:46:22] Simon: Like it's, it's, I've started figuring out. I'm building my own version of this for my own project, because I think within six months. I think it'll just be an expected feature. Like if you have a web application, why don't you have a thing where, oh, look, the, you can add a custom, like, so for my dataset data exploration project, I want you to be able to do things like conjure up a dashboard, just via a prompt.[00:46:43] Simon: You say, oh, I need a pie chart and a bar chart and put them next to each other, and then have a form where submitting the form inserts a row into my database table. And this is all suddenly feasible. It's, it's, it's not even particularly difficult to do, which is great. Utterly bizarre that these things are now easy.[00:47:00][00:47:00] swyx (2): I think for a general audience, that is what I would highlight, that software creation is becoming easier and easier. Gemini is now available in Gmail and Google Sheets. I don't write my own Google Sheets formulas anymore, I just tell Gemini to do it. And so I think those are, I almost wanted to basically somewhat disagree with, with your assertion that LMS got harder to use.[00:47:22] swyx (2): Like, yes, we, we expose more capabilities, but they're, they're in minor forms, like using canvas, like web search in, in in chat GPT and like Gemini being in, in Excel sheets or in Google sheets, like, yeah, we're getting, no,[00:47:37] Simon: no, no, no. Those are the things that make it harder, because the problem is that for each of those features, they're amazing.[00:47:43] Simon: If you understand the edges of the feature, if you're like, okay, so in Google, Gemini, Excel formulas, I can get it to do a certain amount of things, but I can't get it to go and read a web. You probably can't get it to read a webpage, right? But you know, there are, there are things that it can do and things that it can't do, which are completely undocumented.[00:47:58] Simon: If you ask it what it [00:48:00] can and can't do, they're terrible at answering questions about that. So like my favorite example is Claude artifacts. You can't build a Claude artifact that can hit an API somewhere else. Because the cause headers on that iframe prevents accessing anything outside of CDNJS. So, good luck learning cause headers as an end user in order to understand why Like, I've seen people saying, oh, this is rubbish.[00:48:26] Simon: I tried building an artifact that would run a prompt and it couldn't because Claude didn't expose an API with cause headers that all of this stuff is so weird and complicated. And yeah, like that, that, the more that with the more tools we add, the more expertise you need to really, To understand the full scope of what you can do.[00:48:44] Simon: And so it's, it's, I wouldn't say it's, it's, it's, it's like, the question really comes down to what does it take to understand the full extent of what's possible? And honestly, that, that's just getting more and more involved over time.[00:48:58] Local LLMs: A Growing Interest[00:48:58] swyx (2): I have one more topic that I, I [00:49:00] think you, you're kind of a champion of and we've touched on it a little bit, which is local LLMs.[00:49:05] swyx (2): And running AI applications on your desktop, I feel like you are an early adopter of many, many things.[00:49:12] Simon: I had an interesting experience with that over the past year. Six months ago, I almost completely lost interest. And the reason is that six months ago, the best local models you could run, There was no point in using them at all, because the best hosted models were so much better.[00:49:26] Simon: Like, there was no point at which I'd choose to run a model on my laptop if I had API access to Cloud 3. 5 SONNET. They just, they weren't even comparable. And that changed, basically, in the past three months, as the local models had this step changing capability, where now I can run some of these local models, and they're not as good as Cloud 3.[00:49:45] Simon: 5 SONNET, but they're not so far away that It's not worth me even using them. The other, the, the, the, the continuing problem is I've only got 64 gigabytes of RAM, and if you run, like, LLAMA370B, it's not going to work. Most of my RAM is gone. So now I have to shut down my Firefox tabs [00:50:00] and, and my Chrome and my VS Code windows in order to run it.[00:50:03] Simon: But it's got me interested again. Like, like the, the efficiency improvements are such that now, if you were to like stick me on a desert island with my laptop, I'd be very productive using those local models. And that's, that's pretty exciting. And if those trends continue, and also, like, I think my next laptop, if when I buy one is going to have twice the amount of RAM, At which point, maybe I can run the, almost the top tier, like open weights models and still be able to use it as a computer as well.[00:50:32] Simon: NVIDIA just announced their 3, 000 128 gigabyte monstrosity. That's pretty good price. You know, that's that's, if you're going to buy it,[00:50:42] swyx (2): custom OS and all.[00:50:46] Simon: If I get a job, if I, if, if, if I have enough of an income that I can justify blowing $3,000 on it, then yes.[00:50:52] swyx (2): Okay, let's do a GoFundMe to get Simon one it.[00:50:54] swyx (2): Come on. You know, you can get a job anytime you want. Is this, this is just purely discretionary .[00:50:59] Simon: I want, [00:51:00] I want a job that pays me to do exactly what I'm doing already and doesn't tell me what else to do. That's, thats the challenge.[00:51:06] swyx (2): I think Ethan Molik does pretty well. Whatever, whatever it is he's doing.[00:51:11] swyx (2): But yeah, basically I was trying to bring in also, you know, not just local models, but Apple intelligence is on every Mac machine. You're, you're, you seem skeptical. It's rubbish.[00:51:21] Simon: Apple intelligence is so bad. It's like, it does one thing well.[00:51:25] swyx (2): Oh yeah, what's that? It summarizes notifications. And sometimes it's humorous.[00:51:29] Brian: Are you sure it does that well? And also, by the way, the other, again, from a sort of a normie point of view. There's no indication from Apple of when to use it. Like, everybody upgrades their thing and it's like, okay, now you have Apple Intelligence, and you never know when to use it ever again.[00:51:47] swyx (2): Oh, yeah, you consult the Apple docs, which is MKBHD.[00:51:49] swyx (2): The[00:51:51] Simon: one thing, the one thing I'll say about Apple Intelligence is, One of the reasons it's so disappointing is that the models are just weak, but now, like, Llama 3b [00:52:00] is Such a good model in a 2 gigabyte file I think give Apple six months and hopefully they'll catch up to the state of the art on the small models And then maybe it'll start being a lot more interesting.[00:52:10] swyx (2): Yeah. Anyway, I like This was year one And and you know just like our first year of iPhone maybe maybe not that much of a hit and then year three They had the App Store so Hey I would say give it some time, and you know, I think Chrome also shipping Gemini Nano I think this year in Chrome, which means that every app, every web app will have for free access to a local model that just ships in the browser, which is kind of interesting.[00:52:38] swyx (2): And then I, I think I also wanted to just open the floor for any, like, you know, any of us what are the apps that, you know, AI applications that we've adopted that have, that we really recommend because these are all, you know, apps that are running on our browser that like, or apps that are running locally that we should be, that, that other people should be trying.[00:52:55] swyx (2): Right? Like, I, I feel like that's, that's one always one thing that is helpful at the start of the [00:53:00] year.[00:53:00] Simon: Okay. So for running local models. My top picks, firstly, on the iPhone, there's this thing called MLC Chat, which works, and it's easy to install, and it runs Llama 3B, and it's so much fun. Like, it's not necessarily a capable enough novel that I use it for real things, but my party trick right now is I get my phone to write a Netflix Christmas movie plot outline where, like, a bunch of Jeweller falls in love with the King of Sweden or whatever.[00:53:25] Simon: And it does a good job and it comes up with pun names for the movies. And that's, that's deeply entertaining. On my laptop, most recently, I've been getting heavy into, into Olama because the Olama team are very, very good at finding the good models and patching them up and making them work well. It gives you an API.[00:53:42] Simon: My little LLM command line tool that has a plugin that talks to Olama, which works really well. So that's my, my Olama is. I think the easiest on ramp to to running models locally, if you want a nice user interface, LMStudio is, I think, the best user interface [00:54:00] thing at that. It's not open source. It's good.[00:54:02] Simon: It's worth playing with. The other one that I've been trying with recently, there's a thing called, what's it called? Open web UI or something. Yeah. The UI is fantastic. It, if you've got Olama running and you fire this thing up, it spots Olama and it gives you an interface onto your Olama models. And t

Jeweller and designer Petra Toth explains what it means to be inspired by one's roots, and the details that caught her eye while researching folk costumes in the Rusyn village of Mikova in eastern Slovakia.

Jeweller and designer Petra Toth explains what it means to be inspired by one's roots, and the details that caught her eye while researching folk costumes in the Rusyn village of Mikova in eastern Slovakia.

Listen live on the FIVEAA Player. Follow us on Facebook, X and Instagram. Subscribe on YouTubeSee omnystudio.com/listener for privacy information.

We're so excited to share that the Jewellery Diplomas are now open for enrolment for a 2025 start. In this week's episode, Jess and Anna provide an overview of the diploma programs available, including updates and new content for the upcoming year. The conversation highlights the importance of community, mentorship, and the flexibility of online learning, as well as the tools and materials provided for students. Jess and Anna encourage listeners to attend open days and discovery calls to learn more about the programs and the growth that comes from committing to your learning.    Takeaways Enrolment for the 2025 jewellery Diplomas is now open. The Diplomas are designed to cater to various skill levels and interests. Online learning allows flexibility for students with other commitments. Updated content and new courses are being introduced for 2025. Community and mentorship are key components of the programs. Students receive lifetime access to course materials. Hands-on projects, assessment and expert feedback help ensure skill development. Tools and materials kits are available to make it easy to focus on the learning. Open days and discovery calls provide opportunities for personalized guidance. If this is the right next step for you, this is a great commitment to your growth and confidence.   Check out the Diploma courses Learn more on a live open day Fancy a chat about your options? Book a no obligation discovery call   Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group Find Jewellers Academy on Instagram and Facebook  

Meet the dashing Pavan Anand here today on Impact Duty. Pavan is counted among the most influential designers in the world and is also a prominent architect, developer and of course, a fashion icon.

Nigel O'Reilly, a master goldsmith and high jewelry designer, is trailblazing in the industry. His creations have appeared in Vogue, adorned celebrities like Saoirse Ronan and Julianne Moore, and featured at Sotheby's auctions. Yet, he remains rooted in his hometown, Castlebar, Co. Mayo. Before discussing his success, he reflects on his childhood.

This week on "Radio Architecture with Ilana Razbash", Ilana's special guest is Nadine Treister - Artist, Jeweller, Designer & Educator.

In this week's episode of the Jewellers Academy podcast, host Anna Campbell talks with Janine Friston of The Female Business Network. Janine shares 7 ways to increase visibility for introverted jewellers in business, covering how to show up on social media, how to get seen on Google,  tips for face to face networking and more.    The tips shared cover:   Social media essentials Reels without you in Google Business Profile Online interaction Email marketing Blogging Networking     https://femalebusinessnetwork.co.uk/ https://www.instagram.com/femalebusinessnetwork/ https://www.linkedin.com/in/janine-friston-connector-and-small-business-mentor/     Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group Find Jewellers Academy on Instagram and Facebook

Specialist jeweller Moissanite Engagement Rings now works with couples all across Australia, helping more people discover why moissanite gemstones outshine diamonds in almost every respect. Go to https://moissaniteengagementrings.com.au/ for more information. Moissanite Engagement Rings City: Southbank Address: Level 7, 80 Dorcas St Website: https://moissaniteengagementrings.com.au/

Carol travels to Venice to visit the Casa Codognato, HQ of the Venetian family business that has recently celebrated its 150th anniversary. She speaks to jeweller Francesca Amfitheatrof about her new role as head of creative at the timeless firm. This episode is brought to you by @fuligemstones https://fuligemstones.com Follow Carol Woolton: @carolwoolton Produced by Natasha Cowan @tashonfash Music & editing by Tim Thornton @timwthornton Creative direction by Scott Bentley @bentleycreative Social media support by Isabella Thompson @isa.tom Illustrations Jordi Labanda @jordilabanda Read Carol Woolton in Vogue magazine – vogue.co.uk/fashion/jewellery and carolwoolton.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Lucy Delius has reinvented herself consistently throughout her career in the pursuit of career joy. Today, she is happier than ever working on her eponymous fine jewellery label, Lucy Delius. This is the episode for you if you're uncertain about whether your calling is the path you're walking, or if you want to change direction. Together, we deep dive the importance of leaning into the fear and doing it anyway, of shifting direction in order to find yourself and all whilst doing your best along the way. Every experience is supporting your journey to where you're meant to go. You can follow Lucy Delius on instagram and find the brand online via https://lucydelius.co Hosted on Acast. See acast.com/privacy for more information.

The Whakatane branch of Michael Hill Jeweller is shutting up shop after too many break-ins. Whakatane Mayor Victor Luca spoke to Morning Report's Ingrid Hipkiss.

In this episode of Cult Film School, hosts Adrian and Dion revisit two early '90s lesser-known superhero flicks - Captain America (1990) and the unreleased The Fantastic Four (1994) produced by the late Roger Corman.   Chapters: 01:34 Marvel in the Early 1990s 07:18 Captain America 1990: Plot and Production 17:18 Red Skull and Captain America's Awkward Portrayal 33:29 The Movie's Reception and Legacy 39:38 The Director's Cut and Teaser Poster 41:16 Synopsis of the 1994 Fantastic Four 43:26 The Production Journey 45:16 Casting and Filming Challenges 46:37 The Unintended Release 50:04 Character Analysis: The Thing and The Jeweller 52:20 The Film's Tone and Authenticity 52:57 The Jeweler's Role and Critique 01:09:20 Hypothetical Reception and Tagline 01:12:44 Marvel's Evolution in Film   Connect with Adrian & Dion: Instagram ~ @cultfilmschool  Threads ~ @cultfilmschool Facebook  ~ Follow Us! Letterboxd ~ CultFilmSchool Send an Email ~ cultfilmschoolpodcast@gmail.com  Don't forget to leave a rating and review!  

In this week's episode, Jess chats to Kelly Twigg, a jeweller known for her sea glass jewellery and active presence on Instagram. Kelly discusses her journey from a Navy career to becoming a self-employed jewellery maker. Kelly's Instagram success, boasting over 30,000 followers, is attributed to her authentic and engaging approach, sharing not just her work but also personal aspects of her life, which resonates with her audience. She emphasizes the value of community and genuine connections over merely using Instagram as a marketing tool. Kelly has enrolled on the Diploma in Silver Jewellery starting in September 2024. She talks about why she make this choice, despite being an established jeweller, so she can practice and hone her skills.   Kelly on Instagram Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group Find Jewellers Academy on Instagram and Facebook

A three way! Was there a foundry on The Beagle?   Thinking Music Solo Man 1990   Link to the answer Restaurant Online UK   Support the podcasts you listen to on Lenny.fm   More about the show - www.nearly.com.au/somehow-related-podcast-with-glenn-robbins-and-dave-oneil/   Somehow Related is produced by Nearly Media. Original theme music by Kit Warhurst. Artwork created by Stacy Gougoulis.   Looking for another podcast? The Debrief with Dave O'Neil - Dave's other podcasts with comedians after gigs. The Junkees with Dave O'Neil & Kitty Flanagan - The sweet and salty roundabout! Junk food abounds! Confessions - laugh along with Sam Petersen and friends as he reads outrageous confessions from people you'll never meet.Support the show: https://www.lenny.fmSee omnystudio.com/listener for privacy information.

This week we explore the incredible bass line that anchors the song, revel in its pure vibe, and dissect the lyrics that Dan believes reflect a certain experience in the band's life. Don't Believe The Hype is written and produced by Nick Lee and Dan Holt. Sign up for our Patreon here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/arcticpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Find all our links here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://linktr.ee/arcticmonkeyspodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get in touch with the show at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠arcticmonkeyspodcast@gmail.com

fWotD Episode 2515: Eye (Alexander McQueen collection) Welcome to featured Wiki of the Day where we read the summary of the featured Wikipedia article every day.The featured article for Sunday, 24 March 2024 is Eye (Alexander McQueen collection).Eye (Spring/Summer 2000) was the fifteenth collection by British fashion designer Alexander McQueen for his eponymous fashion house. It was inspired by the culture of the Middle East, particularly Islamic clothing, as well as the oppression of women in Islamic culture and their resistance to it. The collection crossed traditional Middle Eastern garments with elements drawn from Western fashion such as sportswear and fetishwear. Jeweller and frequent McQueen collaborator Shaun Leane provided the collection's best-known design: a yashmak made from chainmail.The runway show for Eye was staged at Pier 94 on 16 September 1999, during New York Fashion Week. In the days leading up to the runway show, Hurricane Floyd was threatening New York City, and although numerous other designers cancelled shows, McQueen decided to go ahead with Eye. Despite the weather, more than 1,000 guests attended. The show was presented on a runway flooded with several inches of water, dyed black to resemble oil. Sixty-eight looks were presented in the main show, after which a bed of nails rose up from the water on the floor for the show's finale. Strobe lighting played while acrobats dressed in robes descended from the ceiling suspended from wires. When McQueen walked out for his final bow, he dropped his trousers to display boxer shorts styled to look like the American flag.Critical response to Eye was mixed. While some reviewers enjoyed the theatrical approach, others found that it overwhelmed the clothing. Many critics found that the designs lacked innovation. The frock coats and dresses were consistently deemed the strongest part of the collection. Critical analysis has typically interpreted Eye as a statement about the contrast between the sexual and political values of the Western world and the Middle East. Accessories from Eye appeared at both stagings of the retrospective exhibition Alexander McQueen: Savage Beauty, and clothing from the collection appeared in the 2022 exhibition Lee Alexander McQueen: Mind, Mythos, Muse.This recording reflects the Wikipedia text as of 00:51 UTC on Sunday, 24 March 2024.For the full current version of the article, see Eye (Alexander McQueen collection) on Wikipedia.This podcast uses content from Wikipedia under the Creative Commons Attribution-ShareAlike License.Visit our archives at wikioftheday.com and subscribe to stay updated on new episodes.Follow us on Mastodon at @wikioftheday@masto.ai.Also check out Curmudgeon's Corner, a current events podcast.Until next time, I'm Brian Neural.

Ilaura Longley is a born and raised Alaskan entrepreneur who owns several businesses that are all deeply rooted in her upbringing. Born and raised on a gold mine in Fairbanks, Ilaura and her sister Jordan started their own gold-panning business, the aptly named Gold Daughters, a decade ago. Since 2014, hundreds of thousands of tourists and locals alike have visited Gold Daughters, where they're taught the fine art of gold panning, using soil brought in from the gold-rich family land. Gold Daughters opens every Memorial Day and closes its doors in mid-September when the ground starts to freeze and winter takes over the interior.  In the winter months, Ilaura returns to her work bench in Jacksonville, Florida, loaded with gold nuggets and shards of woolly mammoth ivory she collected from her family's mining claims. After taking an apprenticeship with a jeweler and studying the fine art of jewelry making, she came out with her own line under her name, Ilaura Longley. Her unique designs have captured the attention of jewelry lovers and celebrities alike. Her beautifully handcrafted pieces typically sell out within minutes when she opens her bi/weekly drops. Ilaura has cornered the market on mammoth ivory and gold luxury pieces. Prior to opening Gold Daughters and pursuing Jewelry Design, Ilaura was a collegiate athlete competing in Division one softball at the University of South Florida. It's also where she met her husband Drew Longley, who was a catcher at USF and then the Detroit Tigers. Ilaura and Drew balance entrepreneurial duties while parenting their ten month old son, Jules. His first words were, “I found a gold nugget mommy, would it be okay to stick it up my nose?” He's well on his way to becoming the youngest D-11 driver in the world. @ilauralongley @theboneyardalaska @golddaughters Watch on YouTube: https://bit.ly/3opNURn  PATREON: patreon.com/brassandunity  - - - - - - - - - - - - SUPPORT OUR SPONSORS H.V.M.N - 20% off with code BRASS20 - https://hvmn.com/pages/home Mindful Meds - 15% off with code BRASS - https://mindfulmeds.io Brass & Unity - 20% off with code UNITY - http://brassandunity.com  Three Horses Hat Co - 15% off with code BRASS - ⁠https://threehorseshatco.com/⁠ Combat Flip Flops - 25% off with code UNITY - https://combatflipflops.com - - - - - - - - - - - - - SHOP B&U Jewelry & Eyewear: https://brassandunity.com  - - - - - - - - - - - - - Follow #brassandunity - - - - - - - - - - - - - CHARITY Honour House - https://www.honourhouse.ca Vet Solutions - https://vetsolutions.org  Heroic Hearts - https://www.heroicheartsproject.org Warrior Angels Foundation - https://warriorangelsfoundation.org All Secure Foundation - http://allsecurefoundation.org Defenders of Freedom -https://www.defendersoffreedom.us The Boot Campaign - https://bootcampaign.org

Jewellery can tell us so much about people - the ones that wore it, and the ones that made it. It reveals something about status, or power, or belief systems - religion and relationships. There's so many interesting things that you can uncover about a person, or a group of people, by their jewellery. This makes it an incredibly useful tool for forensic analysis. Dr Maria Maclennan, is the world's first, and currently only, Forensic Jeweller. In this show, we accompany Maria to the Evros region of Greece, where she, along with her team of Dr Jan Bikker, Professor Pavlidis Pavlos and Filmmaker Harry Lawson, are using the forensic analysis of jewellery to identify deceased migrants.The goal is to give back a name to many of the missing and unidentified who sadly lose their lives trying to enter Europe. A single piece of jewellery can unlock an entire identity.

In this week's episode, Jess chats with Sally Costen, The Clerkenwell Jeweller, and discusses her journey into jewellery making. Sally, who started as a graphic designer, shares her passion for jewellery and how she rediscovered her love for it through courses at Jewellers Academy. The conversation delves into Sally's creative process, which involves extensive sketching and a love for making quirky and humorous pieces. Sally also talks about her experience applying for awards. The discussion emphasizes the importance of taking opportunities, overcoming self-doubt, and encouraging others to enter competitions. Sally highlights the value of gaining exposure and having professionals assess one's work through such competitions.   The Clerkenwell Jeweller website Sally on Instagram Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group   Find Jewellers Academy on Instagram and Facebook  

In this week's episode, Jess chats to all three participants of season 2 of the Jeweller's Retreat - Kath Dare, Tressa Amir, and Kate Seow - who are experienced jewellers enrolled in the Advanced Jewelry Diploma.  Kath, Tressa and Kate share their initial apprehensions about being on camera and discuss their eventual enthusiasm for the unique and challenging experience. They give insights into the behind-the-scenes aspects of the Jewellers Retreat and reflect on their favourite days and pieces created during the retreat, highlighting the challenges and growth they experienced. We also hear how they bonded over their shared love for jewellery making and how much they valued the support of the mentors during the filming of the show. Watch Episode 1 of The Jewellers Retreat - Season 2   Resources: Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group Tressa on Instagram Kath Dare on Instagram Kate Seow on Instagram   Find Jewellers Academy on Instagram and Facebook      

For this episode I had the absolute pleasure of talking with New Zealand business royalty Sir Michael Hill. In an extended chat Michael talks about his upbringing, problems with bullying and family, learning his trade and building a multi-national business empire, those adverts, and passing on his secrets to success to younger New Zealanders. This is an enthralling conversation with a surprisingly humble man who has been there and done that when it comes to turning a small business into a household name.See omnystudio.com/listener for privacy information.

Carol has an in-depth conversation with eclectic American novelist M J Rose, who has carved a niche in her recent works by writing about the world of jewellery. Her most recent novel The Jeweller Of Stolen Dreams brings the great jewellery designer Suzanne Belperron to fictional life.https://mjrose.com/content/This episode is brought to you by @fuligemstonesFollow Carol Woolton: @carolwooltonProduced by Natasha Cowan @tashonfashMusic & editing by Tim Thornton @timwthorntonCreative direction by Scott Bentley @bentleycreativeIllustrations Jordi Labanda @jordilabandaRead Carol Woolton in Vogue magazine – vogue.co.uk/fashion/jewellery and carolwoolton.com Hosted on Acast. See acast.com/privacy for more information.

Eric Lohrenz and Mark Neese are on hand today to discuss the beautiful, jangly, perfect pop of The Bats and Sloan. We'll hear about “Jeweller's Heart” and “Money City Maniacs,” respectively.  Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends. Visit our website at SuburbsPod.com Email Jim & Patrick at rock@suburbspod.com Follow us on the Twitter, Facebook or Instagram @suburbspod If you're glad or sad or high, call the Suburban Party Line — 612-440-1984. Theme music: "Ascension," originally by Quartjar, covered by Frank Muffin. Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

I greet you in Jesus' precious name! It is Thursday morning, the 21st of September, 2023 and this is your friend, Angus Buchan, with a thought for today. We start in the Book of Job 13:15, Job said: “Though He slay me yet will I trust Him.” Then we go straight to the New Testament to the Book of Romans 8:28, a verse that we all know so well: “And we know that all things work together for good to those who love God, to those who are called according to His purpose.”I can hear somebody saying today, “I don't understand what is happening in my life. Things are just falling apart. I really cannot understand why this is happening. Lord, why is this happening? Why are You allowing this in my life, in my family, in my business, in my career? I don't understand.” Well, I want to tell you a story, and this might help you with your understanding of the things of God.Corrie Ten Boom, a Dutch lady, and her sister, Betsy and their old dad had a jeweller shop in Holland during the Second World War. They were hiding Jews in the upstairs room in their Jeweller shop. Somebody found out and reported it to the Gestapo, and the Nazis arrived to arrest Corrie, her sister and her old dad. Well, within three weeks, the old man had died. Corrie and her sister, Betsy were put in a concentration camp with the Jews, and it was a hellish place. Betsy was a wonderful woman of God. She was very strong in her faith, much stronger than Corrie at that time, but Betsy got very sick and one day she was lying on the ground, Corrie had her in her arms, and Corrie looked up and was crying out to God, “Lord, I don't understand. Why are You doing this, allowing this to happen to us?” And a little voice from her sister, Betsy, as she was dying, whispered to Corrie, she said, “Corrie, if you know Him, you don't have to ask why.”I want to say to you today, my dear friend, if you know Jesus, you don't have to understand. You only have to believe. Put your trust in the Lord and He will see you through. He will not desert you, and He will not leave you. He says in Hebrews 13:5:”I will never leave you nor forsake you.”Jesus bless you and have a wonderful day,Goodbye.

PC Jeweller has been in the news for all the wrong reasons. Last October it defaulted on a massive ₹3,400 crore loan. And now, SBI one of its lead lenders wants it declared insolvent. So in today's episode for 9th August 2023, we dive into where it all went wrong for the jeweller. If you're a person who is great at communicating and are enthusiastic to join our team, Ditto is looking to recruit new Insurance advisors. You don't even have to know about Insurance, we would train you from scratch and you can enjoy working remotely with a great team. If you're interested in this or know someone who is please click this link - bit.ly/3rnVoKv

Our interview begins with a burping poodle and ends with the beautiful Turkish phrase “health to your hands” which really sums up the essence of Olivia Cummings, founder and jewellery maker behind Cleopatra's Bling. She will take you on a poetic journey to explore the mythology behind Greek amulets, and then ground you with tales of the logistics behind making her dog Alfonso's birthday cake. This suits us just fine.Yes, Olivia is a jeweller, but she's also devoted to food. For her, food is a connector and a nourishing, fortifying force. She finds meaning and satisfaction in the act of cooking for the people she loves and in the act of sharing food around a table. She favours simplicity in the kitchen for herself day by day, but will go all out when it comes to others.We end our chat with laughs about a kitchen disaster story that she's still not over, and Olivia's admission that she's “a sicko with butter” - she has been known to give people a cracker with so much butter on it that they've assumed it was cheese.You can find Olivia's Flourless Cacao & Orange Cake recipe on our website!Find us @whatartistseat on Instagram and our website www.whatartistseat.com.auLinks to Olivia's work and anything else we chatted about:Cleopatra's Bling websiteCleopatra's Bling InstagramCleopatra's Bling podcastCleopatra's Bling Collingwood Store Ramen documentaryHanefi Yeter artist website Hosted on Acast. See acast.com/privacy for more information.

One of Cork's favourite jewellers is calling a day and Liam Lynch of Market Parade (near the English Market) chats with Gareth O'Callaghan and thanks everyone who made doing business so special. Hosted on Acast. See acast.com/privacy for more information.

Hallmarking isn't just a standard to follow, it's a powerful way to promote your business and educate your customers about jewellery quality. In this episode, Marianne Wilson and Charlotte Turner return to the podcast to talk about this year's HALO Award, which honours jewellers who are promoting hallmarking in creative ways. Marianne and Charlotte explain how you can apply for the HALO Award, share examples of past year's winners, and talk about the benefits of hallmarking for you and your customers.  Episode Description: Today we're talking with Marianne Wilson and Charlotte Turner about hallmarking (1:14) What is the HALO Award, and why does it exist? (2:23) Can you explain why hallmarking is important? (6:55) How can independent jewellers promote hallmarking? (10:32) Why is hallmarking beneficial for jewellers? (18:21) How do you apply for the HALO Award? (24:40) Where to learn more about hallmarking (36:16) Resources: Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group  Order your copy of “Start and Grow a Profitable Jewellery Business”   Apply for the HALO Award Download the Digital Dealers Notice The Goldsmiths' Company Assay Office Website (London) British Hallmarking Council Website NAJ Whistleblowing Line   Find Jewellers Academy on Instagram and Facebook

Rendez-vous sur babbel.com/parler et obtenez 6 mois supplémentaires gratuits de Babbel en vous abonnant au plan de 6 mois et en utilisant le code "FACILE". Get episodes without adverts + bonus episodes at EasyStoriesInEnglish.com/Support. Your support is appreciated! In a small town, the people look after each other. When someone is hungry, the others give them food. But one day, the Voice of Reason comes to town and changes everything. Content warning: hanging. Today's story is The Voice of Reason. Go to EasyStoriesInEnglish.com/Reason for the full transcript. Level: Pre-Intermediate. Genre: Philosophical. Vocabulary: Reason, Spread, Pitchfork, Tame, Bandit, Ignore, Land (verb), Hedge, Property, Jeweller, Hanging, Obey. Setting: Fairytale. Word Count: 2303. Author: Ariel Goodbody. Learn more about your ad choices. Visit megaphone.fm/adchoices

Filigree can seem intimidating at first, but it's a valuable skill for every jeweller. In this episode, Jess talks with filigree expert Michelle Lierre about her top tips for learning filigree. Michelle also shares 6 common mistakes people make with filigree and explains how you can troubleshoot each of those issues. Whether you already work with filigree or are looking to get started, you won't want to miss this conversation!    Episode Description: This week we're talking with filigree artist Michelle Lierre (1:20) What is filigree? (4:17) Why should jewellers learn filigree? (7:10) What metals can and can't you use for filigree? (9:56) What are the different types of filigree? (17:13) 6 tips for filigree jewellery making (19:40) 1. Give yourself permission to fail (20:01) 2. Get comfortable with annealing (22:54) 3. Masking tape is your friend (24:48) 4. Be creative with your methods (26:23) 5. Turn the lights down (31:24) 6. Use what's available in your area (33:49) Troubleshooting some common filigree mistakes (39:50)  1. Not twisting your wire enough (40:09) 2. Pieces popping out (43:18) 3. Using too much or too little flux (45:50) 4. Not having enough connections (49:09) 5. Unequal heating (51:36) 6. Torch light is too small (54:17) How to connect with Michelle (58:04)   Resources: Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group  Order your copy of “Start and Grow a Profitable Jewellery Business” Pre-Order the Filigree Jewellery Course to get 50% Off Listen to Michelle's previous podcast episode Lierre Filigree Website Follow Michelle on Instagram   Find Jewellers Academy on Instagram and Facebook

Whether you're trying to come up with things to ask for for Christmas or you want to treat yourself to a special gift this year, this episode is for you! Jessica shares her top 10 recommendations for Christmas gifts that any jeweller will appreciate, along with specific examples of the products and tools she loves and where to find them.    Episode Description: In this episode I'll share 10 Christmas ideas for jewellers this year (1:34) 1. Rotary Tumbler (3:20) 2. Start and Grow a Profitable Jewellery Business (5:48) 3. Vegan leather apron (6:57) 4. Pendant Motor (8:07) 5. Photo boards (10:03) 6. Electric wax carver (11:48) 7. DesignTrust business planner (14:02) 8. Kiln (15:20) 9. Saw (17:38) 10. Pegboards (19:19)   Resources Learn more about Jewellers Academy Watch this episode on YouTube Join the Jewellers Academy Facebook Group    Products Mentioned in this Episode Foredom Rotary Tumbler “Start and Grow a Profitable Jewellery Business” Wolf and Badger Vegan Leather Apron Foredom Pendant Motor SR Photo Boards Foredom Electric Wax Carver The DesignTrust Planner Paragon SC2 Kiln Green Lion Saw IKEA Skadis Pegboard System   Find Jewellers Academy on Instagram and Facebook

Late last month, investigative journalists at Bellingcat and partner organizations published a story exposing the identity of a Russian spy named Maria Adela Kuhfeldt Rivera, who over the course of 10 years had charmed her way into the social circles of NATO members in Naples. Lawfare managing editor Tyler McBrien sat down with Christo Grozev, Bellingcat's lead Russia investigator, who walked us through this stranger-than-fiction spy thriller. They discussed how Maria Adela found herself courting NATO officers in Italy, how Bellingcat's team exposed the truth, often at great personal risk to themselves, and how this story can help us understand the state of Russian tradecraft. Support this show http://supporter.acast.com/lawfare. Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.

This week, David Plotz, Emily Bazelon, and John Dickerson discuss Trump's strange legal maneuvering in the obstruction investigation; what Trump's second term would do to U.S. democracy; and what voters deserve to know about a candidate's health. Here are some notes and references from this week's show: Jonathan Rauch for The Atlantic “Trump's Second Term Would Look Like This” Age of Innocence, by Edith Wharton Portrait of a Lady, by Henry James Heart of Darkness, by Joseph Conrad Lord Jim, by Joseph Conrad Working: People Talk About What They Do All Day and How They Feel About What They Do, by Studs Terkel  This Is Chance!: The Shaking of an All-American City, a Voice That Held It Together, by Jon Mooallem The Way We Live Now, by Anthony Trollope Here are this week's chatters: John: Ella Koeze, Denise Lu and Charlie Smart for The New York Times: “Can You Gerrymander Your Party to Power?” Emily: Aaron Byrd, Weiyi Cai, Geoff Macdonald, Emily Rhyne, Noah Throop, Joe Ward and Jeremy White for The New York Times: “The Toss” David: CityCast DC; Bad Sisters Listener chatter from Michael Koehler: Christo Grozev for Bellingcat: “Socialite, Widow, Jeweller, Spy: How a GRU Agent Charmed Her Way Into NATO Circles in Italy” For this week's Slate Plus bonus segment Emily, David, and John discuss the non-political books that most influenced their understanding of politics.   Tweet us your questions and chatters @SlateGabfest or email us at gabfest@slate.com. (Messages may be quoted by name unless the writer stipulates otherwise.) Podcast production by Kevin Bendis. Research by Bridgette Dunlap. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, David Plotz, Emily Bazelon, and John Dickerson discuss Trump's strange legal maneuvering in the obstruction investigation; what Trump's second term would do to U.S. democracy; and what voters deserve to know about a candidate's health. Here are some notes and references from this week's show: Jonathan Rauch for The Atlantic “Trump's Second Term Would Look Like This” Age of Innocence, by Edith Wharton Portrait of a Lady, by Henry James Heart of Darkness, by Joseph Conrad Lord Jim, by Joseph Conrad Working: People Talk About What They Do All Day and How They Feel About What They Do, by Studs Terkel  This Is Chance!: The Shaking of an All-American City, a Voice That Held It Together, by Jon Mooallem The Way We Live Now, by Anthony Trollope Here are this week's chatters: John: Ella Koeze, Denise Lu and Charlie Smart for The New York Times: “Can You Gerrymander Your Party to Power?” Emily: Aaron Byrd, Weiyi Cai, Geoff Macdonald, Emily Rhyne, Noah Throop, Joe Ward and Jeremy White for The New York Times: “The Toss” David: CityCast DC; Bad Sisters Listener chatter from Michael Koehler: Christo Grozev for Bellingcat: “Socialite, Widow, Jeweller, Spy: How a GRU Agent Charmed Her Way Into NATO Circles in Italy” For this week's Slate Plus bonus segment Emily, David, and John discuss the non-political books that most influenced their understanding of politics.   Tweet us your questions and chatters @SlateGabfest or email us at gabfest@slate.com. (Messages may be quoted by name unless the writer stipulates otherwise.) Podcast production by Kevin Bendis. Research by Bridgette Dunlap. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, David Plotz, Emily Bazelon, and John Dickerson discuss Trump's strange legal maneuvering in the obstruction investigation; what Trump's second term would do to U.S. democracy; and what voters deserve to know about a candidate's health. Here are some notes and references from this week's show: Jonathan Rauch for The Atlantic “Trump's Second Term Would Look Like This” Age of Innocence, by Edith Wharton Portrait of a Lady, by Henry James Heart of Darkness, by Joseph Conrad Lord Jim, by Joseph Conrad Working: People Talk About What They Do All Day and How They Feel About What They Do, by Studs Terkel  This Is Chance!: The Shaking of an All-American City, a Voice That Held It Together, by Jon Mooallem The Way We Live Now, by Anthony Trollope Here are this week's chatters: John: Ella Koeze, Denise Lu and Charlie Smart for The New York Times: “Can You Gerrymander Your Party to Power?” Emily: Aaron Byrd, Weiyi Cai, Geoff Macdonald, Emily Rhyne, Noah Throop, Joe Ward and Jeremy White for The New York Times: “The Toss” David: CityCast DC; Bad Sisters Listener chatter from Michael Koehler: Christo Grozev for Bellingcat: “Socialite, Widow, Jeweller, Spy: How a GRU Agent Charmed Her Way Into NATO Circles in Italy” For this week's Slate Plus bonus segment Emily, David, and John discuss the non-political books that most influenced their understanding of politics.   Tweet us your questions and chatters @SlateGabfest or email us at gabfest@slate.com. (Messages may be quoted by name unless the writer stipulates otherwise.) Podcast production by Kevin Bendis. Research by Bridgette Dunlap. Learn more about your ad choices. Visit megaphone.fm/adchoices

When Alice Cant decided to start making jewellery, she knew she'd need some guidance. Alice completed the Jewellers Academy Diploma in Silver Jewellery, and she uses the lessons she learned to create beautiful sea glass jewellery for her business, Alice Catherine Jewellery. In this episode, Alice describes her experience with joining a diploma programme as a relative beginner. She also explains why sea glass inspires her and shares how she manages the unique challenge of making jewellery with a material she finds in nature.    Episode Description: In this episode, we'll talk with Alice Cant about making sea glass jewellery and her experience with the Silver Diploma (0:50) How did you become a jewellery maker? (2:07) What was it like to start the diploma as a relative beginner? (4:42) What sparked your interest in sea glass? (7:20) What is it like to make jewellery with a material you gather yourself? (10:52) Can you tell us about your favourite and least favourite projects in the diploma? (12:32) When did you start your business, and what was that like? (18:21) How do you approach Instagram reels? (24:26) What has been your biggest achievement so far? (27:21) What's next for you? (30:48) How to connect with Alice (32:24)   Resources Learn more about the Silver Jewellery Diploma Watch this episode on YouTube Alice Catherine Jewellery Follow Alice on Instagram   Find Jewellers Academy on Instagram and Facebook

Jean Findlay, author of the new novel "The Queen's Lender," stops by Single Malt History to discuss what drew her to the dramatic world of 16th-century Scotland and its artistic Danish queen.