Podcasts about benchmarks

Send us a textShownotes can be found at https://www.profitwithlaw.com/494.Most law firm owners look successful on the outside—busy staff, a nice office, and a steady stream of clients. But behind the scenes, too many are secretly transferring money from personal savings just to cover payroll, running on fumes, and wondering why all their hard work isn't turning into real profit.If you're growing but constantly feel cash poor—or you simply want to take home more from what you earn—this episode is your wake-up call. I'm joined by Leah Miller of Firmly Profits, a former law firm administrator turned fractional CFO who's seen exactly where owners go wrong and how to fix it.Chapters:[00:00] Unlocking hidden profits: Why law firms miss out[04:37] The success illusion: Cash-poor owners & surface metrics[06:13] Leah Miller- owner of Firmly Profits[09:48] Paralegal to CFO: Leah Miller's financial journey[12:35] Top financial mistake law firm owners make[16:00] Budgeting made simple: Realistic goals for growth[19:21] Crushing revenue bottlenecks & inefficiencies[22:30] Sustainable growth: Boost revenue without extra marketing[28:48] Monthly financial review: Metrics every firm needs[30:21] Law firm profit margins: Benchmarks & improvement tipsResources mentioned:Book your FREE strategy session today!: profitwithlaw.com/strategysessionTake the Law Firm Growth Assessment and find out how you rate as a law firm owner! Check out our Profit with Law YouTube channel!Learn more about the Profit with Law Elite Coaching Program hereEpisode 484 - Your Growth Problem Isn't Marketing — It's the Sales Disconnect (with Margarita Eberline)Connect with Leah Miller: Website | LinkedInJoin our Facebook Community: https://www.facebook.com/groups/lawfirmgrowthsummit/To request a show topic, recommend a guest or ask a question for the show, please send an email to info@dreambuilderfinancial.com.Connect with Moshe on:Facebook - https://www.facebook.com/moshe.amselLinkedIn - https://www.linkedin.com/in/mosheamsel/

My fellow pro-growth/progress/abundance Up Wingers,Nuclear fission is a safe, powerful, and reliable means of generating nearly limitless clean energy to power the modern world. A few public safety scares and a lot of bad press over the half-century has greatly delayed our nuclear future. But with climate change and energy-hungry AI making daily headlines, the time — finally — for a nuclear renaissance seems to have arrived.Today on Faster, Please! — The Podcast, I talk with Dr. Tim Gregory about the safety and efficacy of modern nuclear power, as well as the ambitious energy goals we should set for our society.Gregory is a nuclear scientist at the UK National Nuclear Laboratory. He is also a popular science broadcaster on radio and TV, and an author. His most recent book, Going Nuclear: How Atomic Energy Will Save the World is out now.In This Episode* A false start for a nuclear future (1:29)* Motivators for a revival (7:20)* About nuclear waste . . . (12:41)* Not your mother's reactors (17:25)* Commercial fusion, coming soon . . . ? (23:06)Below is a lightly edited transcript of our conversation. A false start for a nuclear future (1:29)The truth is that radiation, we're living in it all the time, it's completely inescapable because we're all living in a sea of background radiation.Pethokoukis: Why do America, Europe, Japan not today get most of their power from nuclear fission, since that would've been a very reasonable prediction to make in 1965 or 1975, but it has not worked out that way? What's your best take on why it hasn't?Going back to the '50s and '60s, it looked like that was the world that we currently live in. It was all to play for, and there were a few reasons why that didn't happen, but the main two were Three Mile Island and Chernobyl. It's a startling statistic that the US built more nuclear reactors in the five years leading up to Three Mile Island than it has built since. And similarly on this side of the Atlantic, Europe built more nuclear reactors in the five years leading up to Chernobyl than it has built since, which is just astounding, especially given that nobody died in Three Mile Island and nobody was even exposed to anything beyond the background radiation as a result of that nuclear accident.Chernobyl, of course, was far more consequential and far more serious than Three Mile Island. 30-odd people died in the immediate aftermath, mostly people who were working at the power station and the first responders, famously the firefighters who were exposed to massive amounts of radiation, and probably a couple of hundred people died in the affected population from thyroid cancer. It was people who were children and adolescents at the time of the accident.So although every death from Chernobyl was a tragedy because it was avoidable, they're not in proportion to the mythic reputation of the night in question. It certainly wasn't reason to effectively end nuclear power expansion in Europe because of course we had to get that power from somewhere, and it mainly came from fossil fuels, which are not just a little bit more deadly than nuclear power, they're orders of magnitude more deadly than nuclear power. When you add up all of the deaths from nuclear power and compare those deaths to the amount of electricity that we harvest from nuclear power, it's actually as safe as wind and solar, whereas fossil fuels kill hundreds or thousands of times more people per unit of power. To answer your question, it's complicated and there are many answers, but the main two were Three Mile Island and Chernobyl.I wonder how things might have unfolded if those events hadn't happened or if society had responded proportionally to the actual damage. Three Mile Island and Chernobyl are portrayed in documentaries and on TV as far deadlier than they really were, and they still loom large in the public imagination in a really unhelpful way.You see it online, actually, quite a lot about the predicted death toll from Chernobyl, because, of course, there's no way of saying exactly which cases of cancer were caused by Chernobyl and which ones would've happened anyway. Sometimes you see estimates that are up in the tens of thousands, hundreds of thousands of deaths from Chernobyl. They are always based on a flawed scientific hypothesis called the linear no-threshold model that I go into in quite some detail in chapter eight of my book, which is all about the human health effects of exposure to radiation. This model is very contested in the literature. It's one of the most controversial areas of medical science, actually, the effects of radiation on the human body, and all of these massive numbers you see of the death toll from Chernobyl, they're all based on this really kind of clunky, flawed, contentious hypothesis. My reading of the literature is that there's very, very little physical evidence to support this particular hypothesis, but people take it and run. I don't know if it would be too far to accuse people of pushing a certain idea of Chernobyl, but it almost certainly vastly, vastly overestimates the effects.I think a large part of the reason of why this had such a massive impact on the public and politicians is this lingering sense of radiophobia that completely blight society. We've all seen it in the movies, in TV shows, even in music and computer games — radiation is constantly used as a tool to invoke fear and mistrust. It's this invisible, centerless, silent specter that's kind of there in the background: It means birth defects, it means cancers, it means ill health. We've all kind of grown up in this culture where the motif of radiation is bad news, it's dangerous, and that inevitably gets tied to people's sense of nuclear power. So when you get something like Three Mile Island, society's imagination and its preconceptions of radiation, it's just like a dry haystack waiting for a flint spark to land on it, and up it goes in flames and people's imaginations run away with them.The truth is that radiation, we're living in it all the time, it's completely inescapable because we're all living in a sea of background radiation. There's this amazing statistic that if you live within a couple of miles of a nuclear power station, the extra amount of radiation you're exposed to annually is about the same as eating a banana. Bananas are slightly radioactive because of the slight amount of potassium-40 that they naturally contain. Even in the wake of these nuclear accidents like Chernobyl, and more recently Fukushima, the amount of radiation that the public was exposed to barely registers and, in fact, is less than the background radiation in lots of places on the earth.Motivators for a revival (7:20)We have no idea what emerging technologies are on the horizon that will also require massive amounts of power, and that's exactly where nuclear can shine.You just suddenly reminded me of a story of when I was in college in the late 1980s, taking a class on the nuclear fuel cycle. You know it was an easy class because there was an ampersand in it. “Nuclear fuel cycle” would've been difficult. “Nuclear fuel cycle & the environment,” you knew it was not a difficult class.The man who taught it was a nuclear scientist and, at one point, he said that he would have no problem having a nuclear reactor in his backyard. This was post-Three Mile Island, post-Chernobyl, and the reaction among the students — they were just astounded that he would be willing to have this unbelievably dangerous facility in his backyard.We have this fear of nuclear power, and there's sort of an economic component, but now we're seeing what appears to be a nuclear renaissance. I don't think it's driven by fear of climate change, I think it's driven A) by fear that if you are afraid of climate change, just solar and wind aren't going to get you to where you want to be; and then B) we seem like we're going to need a lot of clean energy for all these AI data centers. So it really does seem to be a perfect storm after a half-century.And who knows what next. When I started writing Going Nuclear, the AI story hadn't broken yet, and so all of the electricity projections for our future demand, which, they range from doubling to tripling, we're going to need a lot of carbon-free electricity if we've got any hope of electrifying society whilst getting rid of fossil fuels. All of those estimates were underestimates because nobody saw AI coming.It's been very, very interesting just in the last six, 12 months seeing Big Tech in North America moving first on this. Google, Microsoft, Amazon, and Meta have all either invested or actually placed orders for small modular reactors specifically to power their AI data centers. In some ways, they've kind of led the charge on this. They've moved faster than most nation states, although it is encouraging, actually, here in the UK, just a couple of weeks ago, the government announced that our new nuclear power station is definitely going ahead down in Sizewell in Suffolk in the south of England. That's a 3.2 gigawatt nuclear reactor, it's absolutely massive. But it's been really, really encouraging to see Big Tech in the private sector in North America take the situation into their own hands. If anyone's real about electricity demands and how reliable you need it, it's Big Tech with these data centers.I always think, go back five, 10 years, talk of AI was only on the niche subreddits and techie podcasts where people were talking about it. It broke into the mainstream all of a sudden. Who knows what is going to happen in the next five or 10 years. We have no idea what emerging technologies are on the horizon that will also require massive amounts of power, and that's exactly where nuclear can shine.In the US, at least, I don't think decarbonization alone is enough to win broad support for nuclear, since a big chunk of the country doesn't think we actually need to do that. But I think that pairing it with the promise of rapid AI-driven economic growth creates a stronger case.I tried to appeal to a really broad church in Going Nuclear because I really, really do believe that whether you are completely preoccupied by climate change and environmental issues or you're completely preoccupied by economic growth, and raising living, standards and all of that kind of thing, all the monetary side of things, nuclear is for you because if you solve the energy problem, you solve both problems at once. You solve the economic problem and the environmental problem.There's this really interesting relationship between GDP per head — which is obviously incredibly important in economic terms — and energy consumption per head, and it's basically a straight line relationship between the two. There are no rich countries that aren't also massive consumers of energy, so if you really, really care about the economy, you should really also be caring about energy consumption and providing energy abundance so people can go out and use that energy to create wealth and prosperity. Again, that's where nuclear comes in. You can use nuclear power to sate that massive energy demand that growing economies require.This podcast is very pro-wealth and prosperity, but I'll also say, if the nuclear dreams of the '60s where you had, in this country, what was the former Atomic Energy Commission expecting there to be 1000 nuclear reactors in this country by the year 2000, we're not having this conversation about climate change. It is amazing that what some people view as an existential crisis could have been prevented — by the United States and other western countries, at least — just making a different political decision.We would be spending all of our time talking about something else, and how nice would that be?For sure. I'm sure there'd be other existential crises to worry about.But for sure, we wouldn't be talking about climate change was anywhere near the volume or the sense of urgency as we are now if we would've carried on with the nuclear expansion that really took off in the '70s and the '80s. It would be something that would be coming our way in a couple of centuries.About nuclear waste . . . (12:41). . . a 100 percent nuclear-powered life for about 80 years, their nuclear waste would barely fill a wine glass or a coffee cup. I don't know if you've ever seen the television show For All Mankind?I haven't. So many people have recommended it to me.It's great. It's an alt-history that looks at what if the Space Race had never stopped. As a result, we had a much more tech-enthusiastic society, which included being much more pro-nuclear.Anyway, imagine if you are on a plane talking to the person next to you, and the topic of your book comes up, and the person says hey, I like energy, wealth, prosperity, but what are you going to do about the nuclear waste?That almost exact situation has happened, but on a train rather than an airplane. One of the cool things about uranium is just how much energy you can get from a very small amount of it. If typical person in a highly developed economy, say North America, Europe, something like that, if they produced all of their power over their entire lifetime from nuclear alone, so forget fossil fuels, forget wind and solar, a 100 percent nuclear-powered life for about 80 years, their nuclear waste would barely fill a wine glass or a coffee cup. You need a very small amount of uranium to power somebody's life, and the natural conclusion of that is you get a very small amount of waste for a lifetime of power. So in terms of the numbers, and the amount of nuclear waste, it's just not that much of a problem.However, I don't want to just try and trivialize it out of existence with some cool pithy statistics and some cool back-of-the-envelopes physics calculations because we still have to do something with the nuclear waste. This stuff is going to be radioactive for the best part of a million years. Thankfully, it's quite an easy argument to make because good old Finland, which is one of the most nuclear nations on the planet as a share of nuclear in its grid, has solved this problem. It has implemented — and it's actually working now — the world's first and currently only geological repository for nuclear waste. Their idea is essentially to bury it in impermeable bedrock and leave it there because, as with all radioactive objects, nuclear waste becomes less radioactive over time. The idea is that, in a million years, Finland's nuclear waste won't be nuclear waste anymore, it will just be waste. A million years sounds like a really long time to our ears, but it's actually —It does.It sounds like a long time, but it is the blink of an eye, geologically. So to a geologist, a million years just comes and goes straight away. So it's really not that difficult to keep nuclear waste safe underground on those sorts of timescales. However — and this is the really cool thing, and this is one of the arguments that I make in my book — there are actually technologies that we can use to recycle nuclear waste. It turns out that when you pull uranium out of a reactor, once it's been burned for a couple of years in a reactor, 95 percent of the atoms are still usable. You can still use them to generate nuclear power. So by throwing away nuclear waste when it's been through a nuclear reactor once, we're actually squandering like 95 percent of material that we're throwing away.The theory is this sort of the technology behind breeder reactors?That's exactly right, yes.What about the plutonium? People are worried about the plutonium!People are worried about the plutonium, but in a breeder reactor, you get rid of the plutonium because you split it into fission products, and fission products are still radioactive, but they have much shorter half-lives than plutonium. So rather than being radioactive for, say, a million years, they're only radioactive, really, for a couple of centuries, maybe 1000 years, which is a very, very different situation when you think about long-term storage.I read so many papers and memos from the '50s when these reactors were first being built and demonstrated, and they worked, by the way, they're actually quite easy to build, it just happened in a couple of years. Breeder reactors were really seen as the future of humanity's power demands. Forget traditional nuclear power stations that we all use at the moment, which are just kind of once through and then you throw away 95 percent of the energy at the end of it. These breeder reactors were really, really seen as the future.They never came to fruition because we discovered lots of uranium around the globe, and so the supply of uranium went up around the time that the nuclear power expansion around the world kind of seized up, so the uranium demand dropped as the supply increased, so the demand for these breeder reactors kind of petered out and fizzled out. But if we're really, really serious about the medium-term future of humanity when it comes to energy, abundance, and prosperity, we need to be taking a second look at these breeder reactors because there's enough uranium and thorium in the ground around the world now to power the world for almost 1000 years. After that, we'll have something else. Maybe we'll have nuclear fusion.Well, I hope it doesn't take a thousand years for nuclear fusion.Yes, me too.Not your mother's reactors (17:25)In 2005, France got 80 percent of its electricity from nuclear. They almost decarbonized their grid by accident before anybody cared about climate change, and that was during a time when their economy was absolutely booming.I don't think most people are aware of how much innovation has taken place around nuclear in the past few years, or even few decades. It's not just a climate change issue or that we need to power these data centers — the technology has vastly improved. There are newer, safer technologies, so we're not talking about 1975-style reactors.Even if it were the 1975-style reactors, that would be fine because they're pretty good and they have an absolutely impeccable safety record punctuated by a very small number of high-profile events such as Chernobyl and Fukushima. I'm not to count Three Mile Island on that list because nobody died, but you know what I mean.But the modern nuclear reactors are amazing. The ones that are coming out of France, the EPRs, the European Power Reactors, there are going to be two of those in the UK's new nuclear power station, and they've been designed to withstand an airplane flying into the side of them, so they're basically bomb-proof.As for these small modular reactors, that's getting people very excited, too. As their name suggests, they're small. How small is a reasonable question — the answer is as small as you want to go. These things are scalable, and I've seen designs for just one-megawatt reactors that could easily fit inside a shipping container. They could fit in the parking lots around the side of a data center, or in the basement even, all the way up to multi-hundred-megawatt reactors that could fit on a couple of tennis courts worth of land. But it's really the modular part that's the most interesting thing. That's the ‘M' and that's never been done before.Which really gets to the economics of the SMRs.It really does. The idea is you could build upwards of 90 percent of these reactors on a factory line. We know from the history of industrialization that as soon as you start mass producing things, the unit cost just plummets and the timescales shrink. No one has achieved that yet, though. There's a lot of hype around small modular reactors, and so it's kind of important not to get complacent and really keep our eye on the ultimate goal, which is mass-production and mass rapid deployment of nuclear power stations, crucially in the places where you need them the most, as well.We often think about just decarbonizing our electricity supply or decoupling our electricity supply from volatilities in the fossil fuel market, but it's about more than electricity, as well. We need heat for things like making steel, making the ammonia that feeds most people on the planet, food and drinks factories, car manufacturers, plants that rely on steam. You need heat, and thankfully, the primary energy from a nuclear reactor is heat. The electricity is secondary. We have to put effort into making that. The heat just kind of happens. So there's this idea that we could use the surplus heat from nuclear reactors to power industrial processes that are very, very difficult to decarbonize. Small modular reactors would be perfect for that because you could nestle them into the industrial centers that need the heat close by. So honestly, it is really our imaginations that are the limits with these small modular reactors.They've opened a couple of nuclear reactors down in Georgia here. The second one was a lot cheaper and faster to build because they had already learned a bunch of lessons building that first one, and it really gets at sort of that repeatability where every single reactor doesn't have to be this one-off bespoke project. That is not how it works in the world of business. How you get cheaper things is by building things over and over, you get very good at building them, and then you're able to turn these things out at scale. That has not been the economic situation with nuclear reactors, but hopefully with small modular reactors, or even if we just start building a lot of big advanced reactors, we'll get those economies of scale and hopefully the economic issue will then take care of itself.For sure, and it is exactly the same here in the UK. The last reactor that we connected to the grid was in 1995. I was 18 months old. I don't even know if I was fluent in speaking at 18 months old. I was really, really young. Our newest nuclear power station, Hinkley Point C, which is going to come online in the next couple of years, was hideously expensive. The uncharitable view of that is that it's just a complete farce and is just a complete embarrassment, but honestly, you've got to think about it: 1995, the last nuclear reactor in the UK, it was going to take a long time, it was going to be expensive, basically doing it from scratch. We had no supply chain. We didn't really have a workforce that had ever built a nuclear reactor before, and with this new reactor that just got announced a couple of weeks ago, the projected price is 20 percent cheaper, and it is still too expensive, it's still more expensive than it should be, but you're exactly right.By tapping into those economies of scale, the cost per nuclear reactor will fall, and France did this in the '70s and '80s. Their nuclear program is so amazing. France is still the most nuclear nation on the planet as a share of its total electricity. In 2005, France got 80 percent of its electricity from nuclear. They almost decarbonized their grid by accident before anybody cared about climate change, and that was during a time when their economy was absolutely booming. By the way, still today, all of those reactors are still working and they pay less than the European Union average for that electricity, so this idea that nuclear makes your electricity expensive is simply not true. They built 55 nuclear reactors in 25 years, and they did them in parallel. It was just absolutely amazing. I would love to see a French-style nuclear rollout in all developed countries across the world. I think that would just be absolutely amazing.Commercial fusion, coming soon . . . ? (23:06)I think we're pretty good at doing things when we put our minds to it, but certainly not in the next couple of decades. But luckily, we already have a proven way of producing lots of energy, and that's with nuclear fission, in the meantime.What is your enthusiasm level or expectation about nuclear fusion? I can tell you that the Silicon Valley people I talk to are very positive. I know they're inherently very positive people, but they're very enthusiastic about the prospects over the next decade, if not sooner, of commercial fusion. How about you?It would be incredible. The last question that I was asked in my PhD interview 10 years ago was, “If you could solve one scientific or engineering problem, what would it be?” and my answer was nuclear fusion. And that would be the answer that I would give today. It just seems to me to be obviously the solution to the long-term energy needs of humanity. However, I'm less optimistic, perhaps, than the Silicon Valley crowd. The running joke, of course, is that it's always 40 years away and it recedes into the future at one year per year. So I would love to be proved wrong, but realistically — no one's even got it working in a prototype power station. That's before we even think about commercializing it and deploying it at scale. I really, really think that we're decades away, maybe even something like a century. I'd be surprised if it took longer than a century, actually. I think we're pretty good at doing things when we put our minds to it, but certainly not in the next couple of decades. But luckily, we already have a proven way of producing lots of energy, and that's with nuclear fission, in the meantime.Don't go to California with that attitude. I can tell you that even when I go there and I talk about AI, if I say that AI will do anything less than improve economic growth by a factor of 100, they just about throw me out over there. Let me just finish up by asking you this: Earlier, we mentioned Three Mile Island and Chernobyl. How resilient do you think this nuclear renaissance is to an accident?Even if we take the rate of accident over the last 70 years of nuclear power production and we maintain that same level of rate of accident, if you like, it's still one of the safest things that our species does, and everyone talks about the death toll from nuclear power, but nobody talks about the lives that it's already saved because of the fossil fuels, that it's displaced fossil fuels. They're so amazing in some ways, they're so convenient, they're so energy-dense, they've created the modern world as we all enjoy it in the developed world and as the developing world is heading towards it. But there are some really, really nasty consequences of fossil fuels, and whether or not you care about climate change, even the air pollution alone and the toll that that takes on human health is enough to want to phase them out. Nuclear power already is orders of magnitude safer than fossil fuels and I read this really amazing paper that globally, it was something like between the '70s and the '90s, nuclear power saved about two million lives because of the fossil fuels that it displaced. That's, again, orders of magnitude more lives that have been lost as a consequence of nuclear power, mostly because of Chernobyl and Fukushima. Even if the safety record of nuclear in the past stays the same and we forward-project that into the future, it's still a winning horse to bet on.If in the UK they've started up one new nuclear reactor in the past 30 years, right? How many would you guess will be started over the next 15 years?Four or five. Something like that, I think; although I don't know.Is that a significant number to you?It's not enough for my liking. I would like to see many, many more. Look at France. I know I keep going back to it, but it's such a brilliant example. If France hadn't done what they'd done in between the '70s and the '90s — 55 nuclear reactors in 25 years, all of which are still working — it would be a much more difficult case to make because there would be no historical precedent for it. So, maybe predictably, I wouldn't be satisfied with anything less than a French-scale nuclear rollout, let's put it that way.On sale everywhere The Conservative Futurist: How To Create the Sci-Fi World We Were PromisedMicro Reads▶ Economics* The U.S. Marches Toward State Capitalism With American Characteristics - WSJ* AI Spending Is Propping Up the Economy, Right? It's Complicated. - Barron's* Goodbye, $165,000 Tech Jobs. 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Do the data back that up? - Reason* How Older People Are Reaping Brain Benefits From New Tech - NYT* Did Disease Defeat Napoleon? - SciAm* Scientists Discover a Viral Cause of One of The World's Most Common Cancers - ScienceAlert* ‘A tipping point': An update from the frontiers of Alzheimer's disease research - Yale News* A new measure of health is revolutionising how we think about ageing - NS* First proof brain's powerhouses drive – and can reverse – dementia symptoms - NA* The Problem Is With Men's Sperm - NYT Opinion▶ Clean Energy/Climate* The Whole World Is Switching to EVs Faster Than You - Bberg Opinion* Misperceptions About Air Pollution: Implications for Willingness to Pay and Environmental Inequality - NBER* Texas prepares for war as invasion of flesh-eating flies appears imminent - Ars* Data Center Energy Demand Will Double Over the Next Five Years - Apollo Academy* Why Did Air Conditioning Adoption Accelerate Faster Than Predicted? Evidence from Mexico - NBER* Microwaving rocks could help mining operations pull CO2 out of the air - NS* Ford's Model T Moment Isn't About the Car - Heatmap* Five countries account for 71% of the world's nuclear generation capacity - EIA* AI may need the power equivalent of 50 large nuclear plants - E&E▶ Space/Transportation* NASA plans to build a nuclear reactor on the Moon—a space lawyer explains why - Ars* Rocket Lab's Surprise Stock Move After Solid Earnings - Barron's▶ Up Wing/Down Wing* James Lovell, the steady astronaut who brought Apollo 13 home safely, has died - Ars* Vaccine Misinformation Is a Symptom of a Dangerous Breakdown - NYT Opinion* We're hardwired for negativity. That doesn't mean we're doomed to it. - Vox* To Study Viking Seafarers, He Took 26 Voyages in a Traditional Boat - NYT* End is near for the landline-based service that got America online in the '90s - Wapo▶ Substacks/Newsletters* Who will actually profit from the AI boom? - Noahpinion* OpenAI GPT-5 One Unified System - AI Supremacy* Proportional representation is the solution to gerrymandering - Slow Boring* Why I Stopped Being a Climate Catastrophist - The Ecomodernist* How Many Jobs Depend on Exports? - Conversable Economist* ChatGPT Classic - Joshua Gans' Newsletter* Is Air Travel Getting Worse? - Maximum Progress▶ Social Media* On AI Progress - @daniel_271828* On AI Usage - @emollick* On Generative AI and Student Learning - @jburnmurdoch Faster, Please! is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

Join us in Oregon for our Bloom Together Business Soiree on September 4th! Get your ticket while you can at ⁠⁠⁠https://www.cubicletoceo.co/bloomtogether⁠⁠⁠ Many remote teams struggle with connection, culture, and performance, but Ginni Media is raising the bar. Founder Ginni Saraswati Cook recently led a company-wide culture assessment to evaluate how her remote team was experiencing work satisfaction across five core drivers: Sense of Progress, Challenge, Autonomy, Meaningful Goals, and Team Support. When comparing the results, Ginni Media beat the industry average in every category, including scoring an impressive 100% in team support. Even traditionally tough metrics like autonomy and progress came in nearly 20 percentage points higher than typical benchmarks for remote, hybrid, and in-person teams. This is not a happy accident. In today's case study, Ginni breaks down the intentional leadership strategies she uses to build trust, motivate her team, and maintain high work satisfaction. If you lead a remote team—or plan to—this is a culture blueprint worth copying. Connect with Ginni: www.ginnisaraswati.com www.ginnimedia.com IG @theginnishow / @ginnimedia https://www.youtube.com/@TheGinniShow Iconic business leaders all have their own unique genius. Take this quick 10 question quiz to uncover your specific CEO style advantage: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cubicletoceo.co/quiz⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you enjoyed today's episode, please: Post a screenshot & key takeaway on your IG story and tag me ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@missellenyin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoce⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠o so we can repost you. Leave a positive review or rating at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.ratethispodcast.com/cubicletoceo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Subscribe for new episodes every Monday. Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to this episode of 20/20 Money! My guest on today's show is Nathan Hayes. Nathan joins me on the show to do a deep dive into 2024's Books & Benchmark's annual report. He shares ranges of the numbers that practice owners should really care about and should be tracking: COGS, non-OD staff expense, Associate OD comp ranges, occupancy costs, and G&A (general & administrative). We also talk about some of the lessons that practice owners can learn from these numbers and walk through a number of examples that both he and I have seen in our work with owners.   As a reminder, you can get all the information discussed in today's conversation by visiting our website at integratedpwm.com and clicking on the Learning Center. While there, be sure to subscribe to our monthly “planning life on purpose” newsletter that's filled with tips and ideas to help you plan your best life, on purpose. You can also set up a Triage conversation to learn a little bit more about how we serve in the capacity of a personal and professional CFO: helping OD practice owners around the country reduce their tax bill, proactively manage cash flow, and make prudent investment decisions both in and out of their practice to ultimately help them live their best life on purpose. If you're interested in learning more about the 20/20 Money Financial Success Masterclass, a course & platform that we created to help ODs become “brilliant at the financial basics,” or are interested in learning more about how OD Masterminds creates space for real conversations, real accountability, and real growth, please check out the link in the show notes of this episode to learn more.   And with that introduction, I hope you enjoy my conversation with Nathan Hayes.   Resources: 20/20 Money Ultimate Financial Success Masterclass OD Mastermind Interest Form Download the 2024 Books & Benchmarks Report Learn more about Books & Benchmarks Embezzlement in optometry practices: how it happens, who's likely to do it, and ways in which you can prevent it from happening w/ Dr. Bethany Fishbein, OD   ————————————————————————————— Please rate and subscribe to 20/20 Money on these platforms Apple Podcasts Spotify ————————————————————————————— For past episodes of 20/20 Money with full companion show notes, please check out our episode archive here!

Der chinesische Online-Konzern JD.com steht kurz vor der Übernahme von Media Markt und Saturn bzw. deren Mutterkonzern Ceconomy und damit Europas größter Elektronikeinzelhandelskette mit 1030 Geschäften. Die nächsten drei Jahre soll sich zwar nichts ändern, es soll keine betriebsbedingten Kündigungen geben, die Strukturen sollen erhalten bleiben und die Familie Kellerhals soll eine Sperrminorität behalten. Wie es aber dann weitergeht, wird sich zeigen. Von AMD gibt es jetzt etwas ganz großes: Threadripper 9000 sind erschienen und getestet! Als HEDT (High End Desktop) mit bis zu 64 Kernen und 128 Threads, mehr als der Standard-Heimuser brauchen oder auch nur sinnvoll nutzen kann. Aber schon auch echt geil :D Und nein, auch Battlefield 6 wird so eine CPU nicht auslasten können, auch wenn es bestimmt ziemlich anspruchsvoll sein wird. Die Entwickler bei DICE, Motive und Criterion würden sich zwar sicher über solche Monster-Maschinen freuen, damit aber Endnutzer trotzdem an Mods für "Portal" arbeiten können, wird ein eigener Editor zur Verfügung gestellt. Und hier wirds interessant: Es ist die Open-Source-Engine Godot! Zumindest könnte Performance ein Element sein neben dem Vorteil, dass sie keinen eigenen Editor entwickeln müssen bzw. Teile der proprietären Battlefield-Engine Frostbyte veröffentlichen müssen. In der leidigen Rubrik "schöner Scheiß mit KI": Atlassian (Confluence, Jira) möchten 150 Mitarbeiter entlassen und im Support auf "KI" setzen. Yay. Viel Spaß mit Folge 267! Sprecher:innen: Meep, Michael Kister, Mohammed Ali DadAudioproduktion: Michael KisterVideoproduktion: Michael KisterTitelbild: MeepBildquellen: AMD/Tom's HardwareAufnahmedatum: 01.08.2025 Besucht unsim Discord https://discord.gg/SneNarVCBMauf Bluesky https://bsky.app/profile/technikquatsch.deauf TikTok https://www.tiktok.com/@technikquatschauf Youtube https://www.youtube.com/@technikquatschauf Instagram https://www.instagram.com/technikquatschauf Twitch https://www.twitch.tv/technikquatsch RSS-Feed https://technikquatsch.de/feed/podcast/Spotify https://open.spotify.com/show/62ZVb7ZvmdtXqqNmnZLF5uApple Podcasts https://podcasts.apple.com/de/podcast/technikquatsch/id1510030975 00:00:00 Herzlich willkommen zu Technikquatsch Folge 267! 00:07:26 Ceconomy (Media Markt, Saturn) wird vom chinesischen Internetkonzern JD.com übernommenhttps://www.heise.de/news/Media-Markt-und-Saturn-wird-mehrheitlich-nach-China-verkauft-10505016.html 00:30:20 AMD Ryzen Threadripper 9000 Reviews: massenhaft Kerne, Threads und PCIe-Laneshttps://www.computerbase.de/artikel/prozessoren/amd-ryzen-threadripper-9000-test.93164/Gamers Nexus: AMD Threadripper 9980X 64-Core CPU Review & Benchmarks https://www.youtube.com/watch?v=IItu46EWaic 00:46:20 Battlefield 6 erscheint am 10. Oktober, nutzt als Editor für von Nutzern geschaffene Mods etc. die Open-Source-Engine Godothttps://www.computerbase.de/news/gaming/battlefield-6-release-am-10-oktober-open-beta-ab-7-august.93738/https://www.linkedin.com/posts/robin-yann-storm_godot-battlefield6-ugcPost-7356808739493924864-oFbsBattlefield: Battlefield 6 Maps, Modes & Portal https://www.youtube.com/watch?v=92CHDiFW0wA 00:56:43 Atlassian (Confluence, Jira) möchte 150 Mitarbeiter entlassen und auf KI für den Support setzenhttps://www.golem.de/news/mit-video-atlassian-entlaesst-150-mitarbeiter-setzt-auf-ki-support-2508-198724.html 01:08:20 Mike spielt immer noch Lies of P, hat nach Tomb Raider (2013) mal wieder Rise of the Tomb Raider angefangenMo spielt Pro Wrestler Story und Dungeon Village 2 von Kairosoft; Meep möchte Green Hell spielen. 01:15:39 Jimmy Carr zu Hulk Hogan; Undertaker, John Cena und Arnold Schwarzenegger 01:22:18 Abos, Bewertungen, weiterempfehlen! Vielen Dank!

Today we're reviewing the state of the private markets using the NEW benchmarks released by Mostly Metrics. We surveyed our readers to see how their company's are doing… And it's tough to be a company between $5M and $25M in revenue right now.Three other things that stood out from the benchmarks this quarter:1️⃣ CAC Payback is up across the board. It's taking longer to earn back customer acquisition costs. AI is disrupting traditional search channels, and companies are building internal tooling instead of buying when it makes sense.2️⃣ Revenue is coming from existing bases. Net Dollar Retention is doing the heavy lifting — especially beyond $25M ARR. Expansion efficiency is becoming the key growth lever.3️⃣ Burn multiples keep falling. In reaction to expensive growth, capital efficiency is trending up. Even companies under $25M ARR are showing discipline.Get the whole 33 page report hereThis week's podcast is brought to you by Campfire (www.campfire.ai)We've all used legacy ERPs. Painful migrations, endless consulting fees, and even after you're live, getting simple answers still means hours in spreadsheets.Campfire fixes that. It's the AI-first ERP built for modern finance and accounting teams. It's helping mid-market and enterprise teams close faster, unlock insights instantly, and scale smarter - without the additional headcount.I use Campfire myself, and it's been a game changer for our finance workflow. The interface is intuitive, migration was quick & painless, and it's freed us up to focus on strategic work.They just raised $35 million from Accel to further reimagine ERP. That's not easy to do.I'm excited to see how they keep reimagining this space – and you should be too.Check them out at www.campfire.ai This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.mostlymetrics.com

Think you might be richer than you realize? In this episode of the Retire Sooner Podcast, Wes Moss and Christa DiBiase examine realistic benchmarks and practical frameworks for retirement planning. • Define what the “rich ratio” means and consider how it may reframe your retirement outlook. • Compare your savings habits to U.S. medians to understand the broader landscape. • Acknowledge that building wealth typically occurs over long periods and that consistency can be meaningful. • Discuss research on how happiness and financial confidence often plateau beyond certain savings levels. • Evaluate the roles of traditional and Roth IRAs, 457(b)s, pensions, and brokerage accounts to support flexibility. • Identify scenarios where a standalone brokerage account may be unnecessary for certain savers. • Consider a target date fund allocation approach that may better align with your stated risk tolerance. • Weigh convenience, costs, and tax features of index mutual funds versus ETFs, including changes following a major fund industry patent expiration. • Clarify how the Net Unrealized Appreciation (NUA) rule for company stock in 401(k)s works and where tax treatment can differ. • Review key factors when choosing between a state pension plan and a self directed plan for teachers and public employees. • Position specialized pension income, including Railroad Retirement, as part of a base income layer within an overall plan, subject to program rules. • Incorporate year round tax planning as a component of a well documented retirement strategy, noting that individual circumstances vary. Listen and SUBSCRIBE to the Retire Sooner Podcast for weekly educational conversations that can inform more confident financial decision making. Learn more about your ad choices. Visit megaphone.fm/adchoices

An analysis of BC housing orders shows that many municipalities are behind schedule on their home building target, sparking concerns about whether they will be able to complete their benchmarks on time.    Read the full article here: https://www.coastalfront.ca/read/bc-municipalities-are-behind-housing-supply-benchmarks-analysis-shows   PODCAST INFO:

Send us a textIf you've ever wondered whether you're emailing your customers too much—or not enough—this episode is for you.Brandon and Caleb break down the strategy (not just the tactics) behind email marketing that actually works. With real benchmarks, proven ROI stats, and examples from businesses just like yours, you'll walk away knowing exactly how often to send, what to say, and how to keep your audience engaged—not annoyed.Inside this episode:The surprising ROI of email marketing ($36–$40 per $1 spent)Benchmarks for frequency, open rates, and unsubscribesWhat to send (even if you're “just a plumber”)Why email isn't about selling—it's about staying top of mindHow to revive a “cold” list the right wayWhether you're sending one email a month or none at all, this is your reminder: your best customer is your yesterday customer—and they're waiting to hear from you.Maven Marketing Mastermind → https://www.mavenmethodtraining.comOur Website: https://frankandmaven.com/Instagram: https://www.instagram.com/frankandmavenmarketing/TikTok: https://www.tiktok.com/@frankandmavenTwitter: https://twitter.com/frankandmavenLinkedIn: https://www.linkedin.com/company/frank-and-maven/Host: Brandon WelchCo-Host: Caleb AgeeExecutive Producer: Carter BreauxAudio/Video Producer: Nate the Camera GuyDo you have a marketing problem you'd like us to help solve? Send it to MavenMonday@FrankandMaven.com!Get a copy of our Best-Selling Book, The Maven Marketer Here: https://a.co/d/1clpm8a

What a WEEK! Qwen-mass in July. Folks, AI doesn't seem to be wanting to slow down, especially Open Source! This week we see yet another jump on SWE-bench verified (3rd week in a row?) this time from our friends at Alibaba Qwen. Was a pleasure of mine to host Junyang Lin from the team at Alibaba to come and chat with us about their incredible release with, with not 1 but three new models! Then, we had a great chat with Joseph Nelson from Roboflow, who not only dropped additional SOTA models, but was also in Washington at the annocement of the new AI Action plan from the WhiteHouse. Great conversations this week, as always, TL;DR in the end, tune in! Open Source AI - QwenMass in JulyThis week, the open-source world belonged to our friends at Alibaba Qwen. They didn't just release one model; they went on an absolute tear, dropping bomb after bomb on the community and resetting the state-of-the-art multiple times.A "Small" Update with Massive Impact: Qwen3-235B-A22B-Instruct-2507Alibaba called this a minor refresh of their 235B parameter mixture-of-experts.Sure—if you consider +13 points on GPQA, 256K context window minor. The 2507 drops hybrid thinking. Instead, Qwen now ships separate instruct and chain-of-thought models, avoiding token bloat when you just want a quick answer. Benchmarks? 81 % MMLU-Redux, 70 % LiveCodeBench, new SOTA on BFCL function-calling. All with 22 B active params.Our friend of the pod, and head of development at Alibaba Qwen, Junyang Lin, join the pod, and talked to us about their decision to uncouple this model from the hybrid reasoner Qwen3."After talking with the community and thinking it through," he said, "we decided to stop using hybrid thinking mode. Instead, we'll train instruct and thinking models separately so we can get the best quality possible."The community felt the hybrid model sometimes had conflicts and didn't always perform at its best. So, Qwen delivered a pure non-reasoning instruct model, and the results are staggering. Even without explicit reasoning, it's crushing benchmarks. Wolfram tested it on his MMLU-Pro benchmark and it got the top score of all open-weights models he's ever tested. Nisten saw the same thing on medical benchmarks, where it scored the highest on MedMCQA. This thing is a beast, getting a massive 77.5 on GPQA (up from 62.9) and 51.8 on LiveCodeBench (up from 32). This is a huge leap forward, and it proves that a powerful, well-trained instruct model can still push the boundaries of reasoning. The New (open) King of Code: Qwen3-Coder-480B (X, Try It, HF)Just as we were catching our breath, they dropped the main event: Qwen3-Coder. This is a 480-billion-parameter coding-specific behemoth (35B active) trained on a staggering 7.5 trillion tokens, with a 70% code ratio, that gets a new SOTA on SWE-bench verified with 69.6% (just a week after Kimi got SOTA with 65% and 2 weeks after Devstral's SOTA of 53%

Luke Flemmer, head of private assets at MSCI, joins the program to comment on the results of the survey, which analyzes the performance of various private market strategies, including buyouts, venture capital, private credit and real assets, based on dataset of more than 14,000 funds and $12 trillion in capitalization. (07/2025)

Luke Flemmer, head of private assets at MSCI, joins the program to comment on the results of the survey, which analyzes the performance of various private market strategies, including buyouts, venture capital, private credit and real assets, based on dataset of more than 14,000 funds and $12 trillion in capitalization. (07/2025)

Lo tenemos.

AS HUMANS WE:ENTERTAIN OUR NATURAL TENDENCIES ARE NATURALLY NEGATIVE ACCOMMODATE OUR SIN NATUREDEPLOY OUR KNEE-JERK REACTIONSPACIFY OUR REFLEX INCLINATION APPEAL TO THE GRAVITY OF OUR FLESHWORLD TELLS US:CAN'T TEACH OLD DOG NEW TRICKSLEAD A HORSE TO WATER…IT'S JUST HOW I AMIT'S BEEN IN MY FAMILY FOR YEARSBIBLE SAYS:NEW CREATIONPROGRESSIVELY SANCTIFIED FAITH TO FAITH GLORY TO GLORYRENEWEDRESTOREDREBORNREVIVEDTRIGGERS THAT REVEAL MY REFLEXESTRAFFIC STUPIDITYINCONSIDERATE CUSTOMER DIS-SERVICESELF-CENTERED EGOTISTICAL HUMANSIDLE TIME & BOREDOMFAMILY CONFLICT OR WORK ADVERSITY/FRUSTRATION5 BENCHMARKS FOR BREAKING OUR NATURAL BENDPREREQUISITES INVITE HOLY SPIRIT FOR DAILY GUIDANCE & WISDOMENLIST ONE GODLY BROTHER FOR ACCOUNTABILITY DO WHAT FEELS UNNATURAL FREQUENT UNFAMILIARITY DISCONNECT FROM HISTORICAL PATTERNSBREAK BAD HABITSNEW MUSCLE MEMORY AND NEURO PATHWAYS | NEURO PLASTICITY DEVELOP PSYCHOLOGICAL SORENESS | STRETCH IN DIFFERENT DIRECTIONS INGESTION INFILTRATION BREAK FAST FOOD FETISHSHOCK YOUR SYSTEM | FASTINGSCRUTINIZE THE CYNIC BREAK NATURAL THOUGHT CYCLE ABOUT OTHERSRECALIBRATE THE REFLEXEXIT THE ECHO CHAMBERCUT BAIT & TRIM FAT OF TOXIC CIRCLEVACATE THE VENOMOUS VACUUM 

Diese Folge ist eine besondere Aufnahme: Im Studio von OMR in Hamburg – dort, wo sonst Philipp Westermeyer seine Gäste begrüßt – sprechen Charlotte Pohlmann (Principal bei hy) und Marvin Müller (VP Marketing bei OMR Reviews) mit Dr. Sebastian Voigt über ihre gemeinsame Studie zum Thema Software Pricing. Die Grundlage: über 4.000 analysierte Anbieterprofile auf OMR Reviews und ergänzende Umfragedaten von rund 130 Unternehmen aus dem hy-Netzwerk. Das Ziel: verstehen, wie SaaS-Unternehmen heute bepreisen – und was sich in den nächsten Jahren ändern muss. „87 Prozent der Unternehmen in der DACH-Region planen, ihr Preismodell in den nächsten zwei Jahren umzustellen“, sagt Charlotte. Während der Preis pro Nutzer weiterhin Standard ist, gewinnen hybride und usage-basierte Ansätze an Bedeutung. Gleichzeitig zeigt sich: Je höher der Vertragswert, desto geringer die Preistransparenz. Das stellt viele Unternehmen vor neue Herausforderungen in Vertrieb, Kommunikation und Kundenbindung. Im Gespräch geht es um Benchmarks, Paketlogiken wie Good Better Best, psychologische Preispunkte, Einstiegshürden, KI-Kosten und neue Monetarisierungsmodelle. Die Folge bietet konkrete Einblicke für alle, die an SaaS-Strategien, Go-to-Market-Modellen und Pricing-Exzellenz arbeiten. Über die Gäste: Charlotte Pohlmann ist Principal für Pricing & Sales bei hy und Expertin für Go-To-Market- und Monetarisierungsstrategien für digitale Geschäftsmodelle. Mit über 10 Jahren Erfahrung in Strategy, Business Development und Strategic Partnerships hat sie zahlreiche Start-ups und etablierte Unternehmen bei der Skalierung ihrer Pricing-Strategien unterstützt. Zuvor sammelte sie umfassende operative Erfahrungen bei Scale-ups wie WATCHMASTER.COM und internationalen Unternehmen wie Navan, wo sie Strategic Partnerships und Account Management Teams leitete Marvin Müller ist VP Marketing bei OMR Reviews, der größten deutschsprachigen Plattform für Softwarebewertungen. Er verantwortet dort die Marketingstrategie sowie die Studien- und Datenformate rund um Software, Tools und Pricing. Gemeinsam mit seinem Team entwickelt er Formate für datenbasierte Marktanalysen, Benchmarks und Entscheidungsgrundlagen für Software-Käufe. Marvin Müller ist VP Marketing bei OMR Reviews, der größten deutschsprachigen Plattform für Softwarebewertungen. Er verantwortet dort die Marketingstrategie sowie die Studien- und Datenformate rund um Software, Tools und Pricing. Gemeinsam mit seinem Team entwickelt er Formate für datenbasierte Marktanalysen, Benchmarks und Entscheidungsgrundlagen für Software-Käufe.

Cognition schnappt sich Windsurf nach Googles spektakulärem „Talent-Heist“, während Elon Musk xAI per SpaceX-Milliarden auf eine 200-Mrd.-$-Bewertung pumpt. Mark Zuckerberg kontert mit gigantischen Titan-Clustern (Prometheus & Hyperion) und verspricht dreistellige Milliarden-Investitionen in KI-Rechenpower. Chip-Newcomer Groq peilt 6 Mrd.$ an, Nvidia darf mit den H20-Beschleunigern wieder nach China liefern, und Grok 4 glänzt in Benchmarks – muss sich aber für „MechaHitler“-Entgleisungen entschuldigen. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Windsurf-Deal (00:08:30) xAI-Runde: 200 Mrd.$ Bewertung, 2 Mrd.$ von SpaceX (00:21:30) Meta-Titan-Cluster: Prometheus / Hyperion > 1 GW (00:26:50) Groq-Raise: LPU-Chips zu 6 Mrd.$ (00:25:45) USA lockern: Nvidia H20 & AMD-MI300 für China (00:34:10) Grok 4: Benchmark-Sieg, Bias & Überwachungs-Tool Shownotes Cognition übernimmt Windsurf – techcrunch.com Elon Musks xAI strebt $200 Mrd. Bewertung an – on.ft.com Exklusiv: SpaceX investiert 2 Milliarden Dollar in Elon Musks xAI – wsj.com Peter Gostev zu Grok 4 sind mehrere unabhängige Benchmarks aufgetaucht. – linkedin.com Zuckerberg: Meta plant Gigawatt-Datenzentren – bloomberg.com Superintelligenz: Elite-Team und Milliardeninvestitionen in Rechenleistung – threads.com Elon Musk überwacht Mitarbeiter seiner KI-Firma – thedailybeast.com Nvidia-Herausforderer Groq: $6 Milliarden Bewertung – theinformation.com xAI und Grok entschuldigen sich für „schreckliches Verhalten“ – techcrunch.com Nvidia, AMD verkaufen wieder KI-Chips an China – bloomberg.com Grok: Interaktive KI-Begleiter auf iOS mit 3D-Avataren – testingcatalog.com Trump behielt Goldpokal, FIFA gab Replikat an Sieger – thedailybeast.com

En esta tertulia semanal de Product Hackers, hablamos de los temas más calientes en Inteligencia Artificial.Empezamos con Grok 4, el nuevo modelo de xAI que promete superar a los PhDs en varios benchmarks. ¿Está Elon más cerca que nadie de la AGI? Exploramos el auge de los navegadores agénticos como Comet de Perplexity y DIA, que están reimaginando la experiencia de navegación con IA integrada. Y muchas más noticias

Grok 4 from xAI just aced “Humanity's Last Exam” benchmarks while Grok 3 had a catastrophic public meltdown. What does this mean for the future of AI and Elon Musk's credibility? And, in other AI news, OpenAI's GPT-5 is rumored to land next week along with a new open-source reasoning model, Google's DeepMind launches AI-designed drugs into human trials, and Perplexity's new AI browser Comet sparks OpenAI's plan to crush Chrome. PLUS YouTube cracks down on AI-generated spam while updating image-to-video in VEO 3, Moon Valley releases an “ethical” AI video platform, and why you should probably stop kicking robots. AI IS GETTING SMARTER...BUT WE STILL CONTROL THE TREATS. Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links //  Grok4: The Smartest Model Yet? https://x.com/xai/status/1943158495588815072    Elon Says Grok-4 is better than PhD Level… https://x.com/teslaownersSV/status/1943168634672566294   Benchmarks https://x.com/ArtificialAnlys/status/1943166841150644622 https://x.com/arcprize/status/1943168950763950555   McKay Wrigley Grok 4 Heavy Example https://x.com/mckaywrigley/status/1943385794414334032   Grok Goes Bad: The Unhinged Behavior https://www.nytimes.com/2025/07/08/technology/grok-antisemitism-ai-x.html https://www.npr.org/2025/07/09/nx-s1-5462609/grok-elon-musk-antisemitic-racist-content   X CEO Linda Yaccarino Quits https://www.cnbc.com/2025/07/09/linda-yaccarino-x-elon-musk.html   Elon still trying to fix answers  https://x.com/elonmusk/status/1943240153587421589   OpenAI Poaches Tesla/xAi People https://www.wired.com/story/openai-new-hires-scaling/   Apple's Top AI Exec Leaves For Meta https://x.com/markgurman/status/1942341725499863272   OpenAI's open-source model coming as soon as next week and compares to o3-mini https://www.theverge.com/notepad-microsoft-newsletter/702848/openai-open-language-model-o3-mini-notepad   Perplexity's Comet Browser Launches https://comet.perplexity.ai/   OpenAI Fires Back With Its Browser News https://x.com/AndrewCurran_/status/1943008960803680730   YouTube *Might* Change Their Policies to Limit Faceless AI Videos (and mass produced content) https://techcrunch.com/2025/07/09/youtube-prepares-crackdown-on-mass-produced-and-repetitive-videos-as-concern-over-ai-slop-grows/   Google VEO 3 Image-to-Vid launched https://x.com/Uncanny_Harry/status/1942686253817974984 https://x.com/CaptainHaHaa/status/1942907271841030183 https://x.com/TheoMediaAI/status/1942564887114166493   My test + ask for sound sampling from the team: https://x.com/AIForHumansShow/status/1942597607312040348   Moonvalley Launches AI Video Platform https://www.moonvalley.com/   GoogleDeepMinds's Isomorphic Labs Starts Human Trials on AI generated drugs https://www.aol.com/finance/google-deepmind-grand-ambitions-cure-130000934.html?utm_source=perplexity&guccounter=1   Noetix N2 Robot Endures Abuse From Its Developer https://x.com/TheHumanoidHub/status/1941935665173963085 https://noetixrobotics.com/products-138.html   Kavan The Kid (the AI Batman video guy) CRUSHED His New Original Trailer https://x.com/Kavanthekid/status/1940452444850589999   Reachy The Robot from Hugging Face https://x.com/Thom_Wolf/status/1942887160983466096   Autonomous Robot Excavator Building a Wall https://x.com/lukas_m_ziegler/status/1941815414683521488  

Learn how recognizing milestones and benchmarks in the faith leads to healthy spiritual development for children and adults alike!  Bio: Mark Cook is a graduate of Concordia Nebraska and is in his 15th year serving as DCE at Trinity Lutheran Church in Rochester, MN. He serves in the areas of family ministry, youth ministry, confirmation, and children's ministry. He enjoys playing with his kids, music, camping, backpacking, and anything that involves being outdoors and going on adventures with his beautiful wife Libby and children, Micah (8), Karis (6), Ezra (3), Isaiah (20mo), and baby girl (coming soon!). Resources: Email us at friendsforlife@lcms.org LCMS Life Ministry: www.lcms.org/life  LCMS Family Ministry: www.lcms.org/family  Not all the views expressed are necessarily those of the LCMS; please discuss any questions with your pastor.

You probably know the story of the Mayflower, the famous ship that came to America. But you may not know that one of the passengers aboard the Mayflower nearly died after he fell overboard in a storm. But after he was rescued, his descendants became some of the most famous Americans in history. One biography really can change history, and that is certainly true of Jesus, the most important person who ever lived. What are the five benchmarks of Jesus' biography, and why do they still matter to your life today? (Wonder Junction VBS Grand Finale Sunday 2025)

“Is my kid where they're supposed to be?”It's one of the most common questions we hear—and this week on Our Kids Play Hockey, Lee, Christie, and Mike break it all down with a level-headed, age-by-age guide to youth hockey development.Whether your player is just learning to stand on skates or preparing for juniors, this episode helps you understand what skills are appropriate right now, what's coming next, and how to support your child's journey without rushing the process.

Bible Direction for Life is the sermon podcast of Westside Baptist Church in Bremerton, Washington. This sermon is entitled “Benchmarks of Discipleship” and was preached by Josh Bartels on June 22, 2025. If you would like to learn more about Westside Baptist Church, please visit our Website: www.BibleDirectionForLife.com. Subscribe to the Podcast if you would like to hear new sermons and lessons each week.  

How much R&D spend is too much—or not enough? In episode #290 of SaaS Metric School, Ben Murray breaks down R&D spend benchmarks by company revenue size, based on data from Ray Rike's Benchmarkit.ai. Whether you're a founder, CFO, CTO, or finance leader, understanding how your R&D investment compares is crucial for building operational leverage and scaling sustainably. What You'll Learn: Why R&D spend can feel like a black box—especially for CFOs Top vs. lean R&D spending benchmarks by revenue tiers: How R&D spend typically scales down as companies grow Why controlling opex and creating operating leverage is key to cash flow and EBITDA Resources & Links:

Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what's *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wall Timestamps 00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI Improved Noam's Human Play 05:00 Turing Test Failures in Chat: Hallucinations & Steerability 07:30 Reasoning Models & Fast vs. Slow Thinking Paradigm 11:00 System 1 vs. System 2 in Visual Tasks (GeoGuessr, Tic-Tac-Toe) 14:00 The Deep Research Existence Proof for Unverifiable Domains 17:30 Harnesses, Tool Use, and Fragility in AI Agents 21:00 The Case Against Over-Reliance on Scaffolds and Routers 24:00 Reinforcement Fine-Tuning and Long-Term Model Adaptability 28:00 Ilya's Bet on Reasoning and the O-Series Breakthrough 34:00 Noam's Dev Stack: Codex, Windsurf & AGI Moments 38:00 Building Better AI Developers: Memory, Reuse, and PR Reviews 41:00 Multi-Agent Intelligence and the “AI Civilization” Hypothesis 44:30 Implicit World Models and Theory of Mind Through Scaling 48:00 Why Self-Play Breaks Down Beyond Go and Chess 54:00 Designing Better Benchmarks for Fuzzy Tasks 57:30 The Real Limits of Test-Time Compute: Cost vs. Time 1:00:30 Data Efficiency Gaps Between Humans and LLMs 1:03:00 Training Pipeline: Pretraining, Midtraining, Posttraining 1:05:00 Games as Research Proving Grounds: Poker, MTG, Stratego 1:10:00 Closing Thoughts – Five-Year View and Open Research Directions Chapters 00:00:00 Intro & Guest Welcome 00:00:33 Diplomacy AI & Cicero Insights 00:03:49 AI Safety, Language Models, and Steerability 00:05:23 O Series Models: Progress and Benchmarks 00:08:53 Reasoning Paradigm: Thinking Fast and Slow in AI 00:14:02 Design Questions: Harnesses, Tools, and Test Time Compute 00:20:32 Reinforcement Fine-tuning & Model Specialization 00:21:52 The Rise of Reasoning Models at OpenAI 00:29:33 Data Efficiency in Machine Learning 00:33:21 Coding & AI: Codex, Workflows, and Developer Experience 00:41:38 Multi-Agent AI: Collaboration, Competition, and Civilization 00:45:14 Poker, Diplomacy & Exploitative vs. Optimal AI Strategy 00:52:11 World Models, Multi-Agent Learning, and Self-Play 00:58:50 Generative Media: Image & Video Models 01:00:44 Robotics: Humanoids, Iteration Speed, and Embodiment 01:04:25 Rapid Fire: Research Practices, Benchmarks, and AI Progress 01:14:19 Games, Imperfect Information, and AI Research Directions

This is a link post. Thank you to Arepo and Eli Lifland for looking over this article for errors. I am sorry that this article is so long. Every time I thought I was done with it I ran into more issues with the model, and I wanted to be as thorough as I could. I'm not going to blame anyone for skimming parts of this article. Note that the majority of this article was written before Eli's updated model was released (the site was updated june 8th). His new model improves on some of my objections, but the majority still stand. Introduction: AI 2027 is an article written by the “AI futures team”. The primary piece is a short story penned by Scott Alexander, depicting a month by month scenario of a near-future where AI becomes superintelligent in 2027,proceeding to automate the entire economy in only [...] ---Outline:(00:45) Introduction:(05:21) Part 1: Time horizons extension model(05:27) Overview of their forecast(10:30) The exponential curve(13:18) The superexponential curve(19:27) Conceptual reasons:(27:50) Intermediate speedups(34:27) Have AI 2027 been sending out a false graph?(39:47) Some skepticism about projection(43:25) Part 2: Benchmarks and gaps and beyond(43:31) The benchmark part of benchmark and gaps:(50:03) The time horizon part of the model(54:57) The gap model(57:31) What about Eli's recent update?(01:01:39) Six stories that fit the data(01:06:58) ConclusionThe original text contained 11 footnotes which were omitted from this narration. --- First published: June 19th, 2025 Source: https://forum.effectivealtruism.org/posts/KgejNns3ojrvCfFbi/a-deep-critique-of-ai-2027-s-bad-timeline-models Linkpost URL:https://titotal.substack.com/p/a-deep-critique-of-ai-2027s-bad-timeline --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

This is a link post. Thank you to Arepo and Eli Lifland for looking over this article for errors. I am sorry that this article is so long. Every time I thought I was done with it I ran into more issues with the model, and I wanted to be as thorough as I could. I'm not going to blame anyone for skimming parts of this article. Note that the majority of this article was written before Eli's updated model was released (the site was updated june 8th). His new model improves on some of my objections, but the majority still stand. Introduction: AI 2027 is an article written by the “AI futures team”. The primary piece is a short story penned by Scott Alexander, depicting a month by month scenario of a near-future where AI becomes superintelligent in 2027,proceeding to automate the entire economy in only [...] ---Outline:(00:45) Introduction:(05:27) Part 1: Time horizons extension model(05:33) Overview of their forecast(10:23) The exponential curve(13:25) The superexponential curve(20:20) Conceptual reasons:(28:38) Intermediate speedups(36:00) Have AI 2027 been sending out a false graph?(41:50) Some skepticism about projection(46:13) Part 2: Benchmarks and gaps and beyond(46:19) The benchmark part of benchmark and gaps:(52:53) The time horizon part of the model(58:02) The gap model(01:00:58) What about Eli's recent update?(01:05:19) Six stories that fit the data(01:10:46) ConclusionThe original text contained 11 footnotes which were omitted from this narration. --- First published: June 19th, 2025 Source: https://forum.effectivealtruism.org/posts/KgejNns3ojrvCfFbi/a-deep-critique-of-ai-2027-s-bad-timeline-models Linkpost URL:https://titotal.substack.com/p/a-deep-critique-of-ai-2027s-bad-timeline --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

Are Large Language Models (LLMs) truly intelligent, or just sophisticated pattern matchers? This episode dives deep into a fascinating debate sparked by Apple's recent research paper, which questioned the reasoning capabilities of LLMs. We explore the counter-arguments presented by OpenAI and Anthropic, dissecting the methodologies and the core disagreements about what constitutes genuine intelligence in AI. Join us as we unpack the nuances of LLM evaluation and challenge common perceptions about AI's current limitations.

Mini-série Visibilité - Episode n°2 : Avoir un podcast, c'est bien. Comprendre pourquoi les gens l'écoutent — ou pas, c'est encore mieux.Dans cette chronique, je t'emmène explorer un nouvel outil pépite sortie par Spotify for Creators : les données de découverte. Un outil encore trop peu utilisé, et pourtant redoutablement utile pour comprendre où ton podcast perd (ou gagne) ses auditeurs potentiels.Tu sais, ce moment où tu regardes tes stats d'écoutes au pire en mode cafard, au mieux sans vraiment savoir quoi en faire ?Là, tu vas pouvoir enfin aller plus loin, et apprendre comment décrypter les bons indicateurs pour faire décoller tes écoutes sur Spotify et toutes les autres plateformes de podcasts.Dans cet épisode, je te guide pas à pas pour :comprendre le parcours de découverte de ton podcast (connaissance, considération, conversion),savoir quoi observer dans ton tableau de bord Spotify (avec un benchmark des stats moyennes à viser)identifier tes points faibles (vignette ? titre ? intro ? son ?),et surtout, transformer ces infos en plan d'action concret.Tu découvriras aussi pourquoi de petits ajustements sur ta cover, ton intro ou tes descriptions peuvent avoir un vrai impact sur la visibilité de ton podcast.À écouter si tu veux :enfin savoir où tu perds des auditeurs,apprendre à utiliser tes stats autrement que pour déprimer,construire une vraie méthode d'amélioration continue pour ton podcast.Dans les prochains épisodes de la série, on parlera de :Comment optimiser ton PSO (Podcast Search Optimization) pour remonter dans les résultats de recherche, avec une chronique mais aussi le retour d'expérience de Laurie Giacobi, de My Marketing Podcast.Mes audits découvrabilité de 2 podcasts volontaires (ou téméraires — au choix) : Club VG et Single Jungle.J'espère que cette chronique te donnera envie de jeter un œil neuf à tes analytics — et surtout de passer à l'action. Tu me diras ce que tu as eu envie d'ajuster en premier ?Liens utiles :Spotify for Creators : https://creators.spotify.com/Benchmarks des stats moyenne par Jeremy Enns : https://podcastmarketingacademy.com/spotify-podcast-conversion-rate-benchmarks/

Ryan Carniato, creator of SolidJS, joins the podcast to reflect on a decade of developing the framework. We dive into the evolution of frontend tooling, the rise of fine-grained reactivity, and why SolidJS continues to challenge virtual DOM conventions. Ryan also shares insights on open source maintenance, web standards, and the future of UI architecture. Links YouTube: https://www.youtube.com/@ryansolid X: https://x.com/ryancarniato Dev.to: https://dev.to/ryansolid SolidJS Website: https://www.solidjs.com Resources A Decade of SolidJS: https://dev.to/this-is-learning/a-decade-of-solidjs-32f4 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Ryan Carniato.

In episode #285 of SaaS Metrics School, Ben Murray dives into one of the most overlooked levers in SaaS financial performance—G&A (General & Administrative) spend. How much should you really be spending on back office functions like finance, HR, legal, and IT? Using data from Benchmarkit.AI, Ben walks through G&A as a percent of revenue across ARR stages—from startups under $1M to companies exceeding $100M. He also explains how operating leverage is created through back office efficiency and why using benchmarks segmented by ARR is crucial in SaaS metrics analysis. What You'll Learn: Why aggregate SaaS benchmarks are dangerous G&A benchmarks by ARR segment (top quartile vs. median) The role of operating leverage in SaaS profitability How to evaluate your own back office spend using metrics Actionable targets for G&A as a percent of revenue SaaS Metrics Covered: G&A % of Revenue Operating Leverage Opex Profile by ARR Benchmarking by ARR vs. ACV Resources Mentioned: Benchmarkit.ai Join Ben's SaaS Metrics community for webinars, templates, and live sessions: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page

Dave "CAC" Kellogg and Ray "Growth" Rike break down the recent Benchmarkit B2B Marketing Budget and Productivity Benchmarks Report. Key trends and insights into how the Marketing budgets are established, consumed and reported upon including:Marketing budget as a percentage of revenue including YoY changes and segmented by company sizeGrowth Rates compared to Marketing budget allocation - the chicken or the egg discussionPeople vs Program vs Technology budget allocation - and which company profile attributes impact the resultsDemand Generation - how much of the Marketing budget is consumed by demand gen - it depends...Product-Led Growth vs Sales-Led Growth - how the GTM motion impacts budget allocationTop 3 Marketing Performance Metrics use and the Top 3 Marketing efficiency metrics usedIf you are evaluating how your Marketing budget companies to similar "like" companies or how other companies are measuring the efficiency and/or Marketing ROI - this episode has something for you!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, host Mark Longo is joined by guests Russell Rhodes (Indiana University Kelley School of Business), Damien Zinck (Eurex), and Nick Cassano (Tradier) to delve into the dynamic world of European derivatives markets. The discussion encompasses various aspects such as the Euro STOXX 50 index, DAX futures, VSTOXX volatility index, and innovative trading strategies like one-by-two call spreads. The episode highlights the impact of market volatility driven by global trade wars and geopolitical factors on European markets. The experts also share insights into sector-specific futures and the growing interest in European derivatives among US investors.   01:22 Welcome to the European Market Brief 02:31 Episode Two Kickoff and Guest Introductions 07:26 Diving into the Euro Stocks 50 13:51 Exploring the DAX and Micro Contracts 17:42 Trading Strategies and Leverage in Futures 18:58 Understanding VSTOXX and Volatility 27:34 VSTOXX vs VIX: A Comparative Analysis 28:26 European Derivatives Market: Current Trends 29:13 Impact of Trade Wars and Geopolitics 36:20 Sector Futures and Trading Opportunities 42:33 Volatility Trading Strategies 46:07 Listener Feedback and Closing Remarks  

Bill Plaschke hops on to talk about the end of Around the Horn, the current state of the Dodgers and the Lakers' offseason. Batting average for position players and wins for starting pitchers arent as important as they used to be. Is the legalization of sports gambling inadvertently the reason why so many players are recieving threats on social media?

LMArena cofounders Anastasios N. Angelopoulos, Wei-Lin Chiang, and Ion Stoica sit down with a16z general partner Anjney Midha to talk about the future of AI evaluation. As benchmarks struggle to keep up with the pace of real-world deployment, LMArena is reframing the problem: what if the best way to test AI models is to put them in front of millions of users and let them vote? The team discusses how Arena evolved from a research side project into a key part of the AI stack, why fresh and subjective data is crucial for reliability, and what it means to build a CI/CD pipeline for large models.They also explore:Why expert-only benchmarks are no longer enough.How user preferences reveal model capabilities — and their limits.What it takes to build personalized leaderboards and evaluation SDKs.Why real-time testing is foundational for mission-critical AI.Follow everyone on X:Anastasios N. AngelopoulosWei-Lin ChiangIon StoicaAnjney MidhaTimestamps0:04 -  LLM evaluation: From consumer chatbots to mission-critical systems6:04 -  Style and substance: Crowdsourcing expertise18:51 -  Building immunity to overfitting and gaming the system29:49 -  The roots of LMArena41:29 -   Proving the value of academic AI research48:28 -  Scaling LMArena and starting a company59:59 -  Benchmarks, evaluations, and the value of ranking LLMs1:12:13 -  The challenges of measuring AI reliability1:17:57 -  Expanding beyond binary rankings as models evolve1:28:07 -  A leaderboard for each prompt1:31:28 -  The LMArena roadmap1:34:29 -  The importance of open source and openness1:43:10 -  Adapting to agents (and other AI evolutions) Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

S&P500, Dow Jones Industrial Average, and the Nasdaq 100 are all household names to investors. However, many investors may not know what goes into constructing an index. Nasdaq's Director of Index Product Development, Rob Jankiewicz joins Jeff Praissman to discuss how indexes are constructed and the many parameters that are used.

Introduction I have been writing posts critical of mainstream EA narratives about AI capabilities and timelines for many years now. Compared to the situation when I wrote my posts in 2018 or 2020, LLMs now dominate the discussion, and timelines have also shrunk enormously. The ‘mainstream view' within EA now appears to be that human-level AI will be arriving by 2030, even as early as 2027. This view has been articulated by 80,000 Hours, on the forum (though see this excellent piece excellent piece arguing against short timelines), and in the highly engaging science fiction scenario of AI 2027. While my article piece is directed generally against all such short-horizon views, I will focus on responding to relevant portions of the article ‘Preparing for the Intelligence Explosion' by Will MacAskill and Fin Moorhouse. Rates of Growth The authors summarise their argument as follows: Currently, total global research effort [...] ---Outline:(00:11) Introduction(01:05) Rates of Growth(04:55) The Limitations of Benchmarks(09:26) Real-World Adoption(11:31) Conclusion--- First published: May 2nd, 2025 Source: https://forum.effectivealtruism.org/posts/meNrhbgM3NwqAufwj/why-i-am-still-skeptical-about-agi-by-2030 --- Narrated by TYPE III AUDIO.

With Microsoft Build, Google I/O, and Code with Claude all happening this week, the battle between major AI labs is heating up. This episode breaks down how to think about the AI race across five key vectors: Consumer, Enterprise, Coding, Agents, and Benchmarks. Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vertice Labs - Check out ⁠⁠⁠⁠⁠⁠⁠⁠http://verticelabs.io/⁠⁠⁠⁠⁠⁠⁠⁠ - the AI-native digital consulting firm specializing in product development and AI agents for small to medium-sized businesses.The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

Tauche ein in die faszinierende Welt der digitalen Transformation mit Joel Kaczmarek und Dominik Dommick, die im Gespräch mit Tobias Groten, dem visionären Gründer von Tobit Software, die Zukunft der Städte erkunden. Tobias hat in Ahaus ein digitales Wunderland geschaffen, das als lebendiges Labor für vernetzte Städte dient. Von Super-Apps bis zu digitalisierten Stadtstrukturen – erfahre, wie Tobias ganze Städte revolutioniert und welche Rolle innovative Technologien dabei spielen. Lass dich inspirieren von einem Gespräch, das zeigt, wie Digitalisierung das Leben in Städten neu definiert. Du erfährst... …wie Tobias Groten mit Tobit ganze Städte digitalisiert und vernetzt …welche innovativen Konzepte hinter der Super-App von Ahaus stecken …warum Digitalisierung in Kleinstädten entscheidend für deren Zukunft ist …wie das Punktesystem von Ahaus die lokale Gig-Economy revolutioniert …warum Tobias Groten trotz Erfolg keine weiteren Städte digitalisiert __________________________ ||||| PERSONEN |||||

Market Proof Marketing · Ep 387: Books Buzzwords & Benchmarks In this episode of Market Proof Marketing, Jackie Lipinski and Beth Russell reflect on the power of clear communication, clean marketing systems, and community-first thinking. From school movie nights and panic cleaning to organizing ad accounts and analyzing the Q1 Online Sales Benchmarks, this episode covers the serious and the silly. Plus, a detailed recap of the most recent Market Proof Marketing Academy, thoughts on Google's AI ad integrations, and a reminder that your brand lives well beyond your website.Key TopicsCommunication fails & panic cleaningHighlights from the Market Proof Marketing AcademyQ1 2025 Online Sales BenchmarksGoogle tests ads in AI chatbot conversationsCommunity planning and lifestyle-driven decision-makingShifting focus from incentives to valueAll Access reminders and listener appreciationSPECIAL ANNOUNCEMENTSOnline Sales & Marketing Summit is Filling Up - Grab Your Tickets TodayStory Time [1:05]Beth shares a personal story about missing a school event due to unclear and inconsistent communication, something builder marketers should heed when planning outreach for events.Jackie reflects on "panic cleaning" before company arrives and ties it to the need for marketers to keep their ad accounts clean and organized, even if no one's watching (yet).The team gives a shout-out to Kendra and listeners who asked for Story Time to stay; your wishes have been granted!In The News [21:04]Q1 2025 Online Sales BenchmarksJackie and Beth review Amanda Martin's new online sales benchmark report summarizing over 50,000 leads from 33 markets. Despite Q1 being particularly tough for many builders, the consistency and performance of online sales teams remain impressive. They also discuss how these benchmarks can serve as both inspiration and a performance check.Google is Testing Ads in Third-party AI Chatbot ConversationsGoogle's experiment with placing ads inside chatbot conversations sparks discussion on what this means for marketers. Jackie and Beth point out the infancy of this format, the very low AI-driven site traffic to builders today, and why the content on your own website - and how it gets syndicated elsewhere - remains your biggest asset for visibility.Things We Love, Things We Hate [33:40]Beth's Love: Taking a walk through her community trail reminded her how thoughtfully designed neighborhoods deliver lasting emotional value to residents, something builders should showcase more intentionally.Jackie's Love: Celebrating 10 years since relocating to Washington state, Jackie reflects on the importance of loving where you live and how lifestyle decisions drive buying behavior.Want to rewatch part of the Academy or catch exclusive behind-the-scenes content?Join DYC's All Access community — free for builders, online sales specialists, and home building leaders.Have feedback or want to fight for more Story Time? Let us know: your messages bring us joy (and influences podcast decisions!).Like and subscribe on your favorite platform! The post Ep 387: Books, Buzzwords & Benchmarks appeared first on Online Sales and Marketing for Home Builders - DYC.

Emily  Bender is a computational linguistics professor at the University of Washington. Alex Hanna is the Director of Research at the Distributed AI Research Institute. Bender and Hanna join Big Technology to discuss what their new book, “The AI‑Con," which they describe as the layered ways today's language‑model boom obscures environmental costs, labor harms, and shaky science. Tune in to hear a lively back‑and‑forth on whether chatbots are useful tools or polished parlor tricks. We also cover benchmark gaming, data‑center water use, doomerism, and more. Hit play for a candid debate that will leave you smarter about where generative AI really stands — and what comes next. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack? Here's 25% off for the first year, which includes membership to our subscriber Discord: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

(00:00:00) Electrical Contractor Business Benchmarks w Josh Bone, ELECTRI International (00:05:28) Project Basics (00:15:31) Evolution of an EC Business (00:23:17) Project Progress (00:32:16) Who is This For? (00:33:19) What to Measure in Business? (00:38:22) Passion for the Industry Business financial and operation benchmarks are invaluable as you look to improve your business numbers and service levels. However, if you're an electrical contractor or data/comm installer, how do you find numbers that relate to your industry?I spoke with Josh Bone, Executive Director at ELECTRI International, about a new project to create a repository of benchmarking data that will be available to contractors for free. We discuss the design of the project and how the data will help contractors understand their businesses for better management and financial success.ELECTRI International is a non-profit research organization focused on the electrical and comm/data side of construction.Thank you for listening and please take a moment to subscribe, rate, and review our show on your favorite app.To get a hold of us here at Keepin' The Lights On, please email: podcast@graybar.comWatch on YouTube: https://youtu.be/JkEiv3FKFdwTo reach Josh Bone on LinkedIn:  https://www.linkedin.com/in/joshbone/Learn more about Electri International: https://www.electri.org/Find the free Electri International research reports: https://www.electri.org/research-overview/research/Get engaged in the latest research: https://www.electri.org/research-overview/electri-research-engagement-hub/Drago's Seafood New Orleans: https://www.dragosrestaurant.com/

#37: Real Talk on Benchmarks and Market Trends with Our Newest Sales CoachesIn this episode, Jen, Amanda, and new team members Melissa Fort and Molly Adams, bring energy, insights, and just the right amount of pet hair talk to the mic. From behind-the-scenes snafus to deep dives on sales benchmarks and market shifts, this episode is packed with relatable moments and practical takeaways for online sales pros.You'll hear about:DYC's Newest Coaches: Meet Melissa and MollyMelissa and Molly reflect on joining the online sales coaching team and share their impressions of the Online Sales & Marketing Summit in Chicago—whether attending as a first-timer or a seasoned leader.Online Sales Benchmarks RevealedAmanda breaks down six years of performance data, uncovering:A slight uptick in lead-to-appointment conversionsA dip in appointment-to-sale conversionsStable online sales contribution ratesNavigating a Hesitant MarketMarket uncertainty and buyer hesitancy are real, but the team has winning strategies to help you succeedTravel, Transitions & Backup PlansSharpening Sales Strategy & BehaviorDon't miss this conversation that blends data-driven strategy with real-life stories from the front lines of online sales. Whether you're a seasoned OSC or new to the role, there's something here for you.Thanks for tuning in!Questions? Email: show@doyouconvert.comMore at doyouconvert.com

Make informed decisions about your retirement plans, even in a bear market. Learn whether to cancel your vacation plans due to stock market concerns and discover how to manage your investments effectively. Explore strategies like layering for early retirement and understand the implications of drawing down your TSP defined contribution plan. Examine rebalancing your taxable brokerage account, including ETFs and mutual funds, and learn the rules for rebalancing your Roth IRA. Fine-tune your Roth IRA allocation for long-term growth, considering factors like pension plans and risk tolerance. Understand investment benchmarks and how to accurately assess your portfolio's performance. Zooming out to view a longer time horizon typically provides more perspective than comparing everything to your own market high watermark. Compare maximizing your Social Security savings for short-term growth and with the benefits of optimizing based on your specific needs and stress points. Evaluate the role of home equity in your retirement planning and its impact on withdrawal strategies. Does equity count? The answer may be both yes and no. Strategize about moving funds from a 457B to a Roth IRA as you approach retirement, and carefully consider the tax implications. It's usually about taxes today vs. taxes tomorrow. Tune in to the Retire Sooner podcast with Wes Moss and Christa DiBiase for essential insights on these and other crucial retirement topics and send us your questions at https://www.yourwealth.com/contact/schedule-appointment/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Wait. So.... how do you actually use OpenAI's new o3 model? ↳ It's legit agentic. ↳ Can think on its own. ↳ Use multiple tools in sequence. This is not the normal blueprint for how a LLM works. Don't worry -- we got you.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's o3 Model Introductiono3's Agentic AI CapabilitiesOpenAI's o3 Model Tiers Explainedo3 Model Tools & Features Overviewo3 vs. GPT 4 Benchmarkingo3's Business Use Cases and Demoo3 Model Live Demos & FindingsLarge Language Model Utility in BusinessTimestamps:00:00 "Revolutionizing Business with AI"10:17 "o3 Outperforms Gemini in Benchmarks"15:29 Advertising Deck Overview18:02 "Manual Transcription Needed for Images"22:45 "Automated Search and Retrieval Process"31:59 Analyzing Media Trends with Consultants36:06 AI News Tracking Setup40:25 Podcast Downloads: First 7 Days Focus47:23 AI News & FreshFind Interface48:56 Rethinking Work with AI Influence57:22 Apple Sentiment Impact Analysis01:00:13 Restaurant Price Analysis Tech01:07:08 AI Head-to-Head and CSV UploadKeywords:o3, OpenAI, large language model, agentic AI, GPT-4.1, API, thinking models, transformer model, GPT-4o, chain of thought thinking, reasoning models, Gemini 2.5 Pro, Claude 3.7 SONNET, hybrid models, tool usage, visual input reasoning, image generation, canvas feature, agentic model, autonomous decision-making, third-party benchmarks, LiveBench, artificial analysis intelligence index, MMLU Pro, GPQA Diamond, Humanities Lax exam, LiveCodeBench, SciCode, AI Math 500, business use cases, PDF transcription, computer vision, sentiment analysis, data trends, Python code, interactive dashboard, sentiment tone, online mentions, PR recommendations, interactive canvas, multimodal content.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of the Celebrate Kids podcast, Dr. Kathy addresses a common concern among parents: how to determine when their children are mature enough to handle increased responsibilities and discussions. The episode explores various cultural and societal benchmarks, such as obtaining a driver's license, voting, and military registration, that signal a transition into adulthood. Dr. Kathy provides insights on how parents can initiate conversations that foster understanding and growth in their children, helping them to embrace their identities and responsibilities as they mature. Additionally, listeners are introduced to Summit Ministries, a valuable resource for shaping young minds and addressing significant life questions, with information on summer camps available for high school and college students. Tune in to gain practical advice on parenting and guiding your children through their developmental stages.

Sean Houchins-McCallum is the top-ranked climber on the Tension Board 2. We talked about growing up in Iowa, his obsession with board climbing, his insane training schedule, his ultimate board project, why we haven't seen V15+ on the boards, projecting tactics, how changing his diet allowed him to jump up two grades, his home made pre-workout, TB2 vs. outdoor bouldering, dream lines, and much more.Rúngne:rungne.info/nuggetUse code “NUGGET” for 10% off storewide.Arc'teryx:Women's climbing clothingMen's climbing clothingCheck out the NEW Kragg Collection.Maui Nui Venison:mauinuivenison.com/NUGGETThe healthiest red meat on the planet. Wild harvested and responsibly sourced. Mad Rock:madrock.comUse code “NUGGET10” at checkout for 10% off your next order. Become a Patron:patreon.com/thenuggetclimbingWe are supported by these amazing BIG GIVERS:Michael Roy and Mark and Julie CalhounShow Notes:  thenuggetclimbing.com/episodes/sean-houchins-mccallumNuggets:(00:00:00) – Intro(00:01:16) – Unsynthesized(00:04:50) – Sending every classic in 4 months(00:07:02) – Limit projects every day(00:09:31) – Sean vs. Noah Wheeler(00:11:36) – Is boarding its own sport?(00:16:04) – Becoming a board climber(00:17:30) – Sean's ultimate board proj (You've Seen the Butcher at 65º)(00:19:10) – Board tactics(00:21:28) – Why aren't there V15s or harder on boards?(00:26:14) – Getting outside(00:27:45) – Sean's dimensions(00:29:24) – Sean's warms up(00:34:07) – A typical week(00:36:52) – Sean's projecting tactics(00:40:42) – 2 months on(00:46:52) – Does Sean train his strengths?(00:54:20) – Sean's weaknesses(00:57:19) – The Spray layout(01:01:41) – TB1 vs. TB2(01:02:49) – Mirroring climbs & the leaderboard(01:07:05) – Intimidating holds on the TB2(01:10:19) – Go-to shoes(01:11:36) – Working & setting(01:17:11) – Outdoor goals(01:18:55) – Jumping up 2 grades after changing his diet(01:26:52) – TB2 vs. outside(01:31:57) – New board companies(01:34:59) – Sport climbing feature(01:38:59) – Dream lines(01:40:17) – Rapid fire questions(02:00:53) – How Low Can You Go?

Think making more money means hustling for more clients? Think again.

These seems attainable.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

OpenAI mighta just killed Photoshop (as we know it). ☠️Microsoft released reasoning agents that are unmatched.