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Anxiety, dispair, loneliness, depression -- all we need is a social media recession! A popular thesis is that All The Bad Things things are on the rise among adolescents because of social media, a view popularized in Jon Haidt's 2024 book The Anxious Generation. Haidt is calling for an end of the "phone-based childhood" and hoping that schools banish all screens for the benefit of its students. But is it true than social media is causing this mental health crisis? Is it true that there even is a mental health crisis? We do a deep dive into Haidt's book to discuss the evidence. We discuss A weird citation trend in philosophy Whether there is a mental health crisis among teens Some inconsistencies in Haidt's data on mental health outcomes Correlation vs causation, and whether Haidt establishes causation Why on earth do the quality of these studies suck so much? Whether Haidt's conclusions are justified References The Anxious Generation (https://www.amazon.com/Anxious-Generation-Rewiring-Childhood-Epidemic/dp/0593655036) Jon Haidt's After Babel Substack (https://www.afterbabel.com/) After Babel's main post (https://www.afterbabel.com/p/social-media-mental-illness-epidemic) attempting to establish causation, and the response to critics (https://www.afterbabel.com/p/why-some-researchers-think-im-wrong). Collaborative review doc on adolescent mood disorders (https://docs.google.com/document/d/1diMvsMeRphUH7E6D1d_J7R6WbDdgnzFHDHPx9HXzR5o/edit?tab=t.0#heading=h.rqnt07sjvlcd) Collaborative review doc on social media and mental health (https://docs.google.com/document/d/1w-HOfseF2wF9YIpXwUUtP65-olnkPyWcgF5BiAtBEy0/edit?tab=t.0) Matthew B Jane's criticism of Haidt's meta-analysis (https://matthewbjane.github.io/blog-posts/blog-post-6.html) Aaron Brown's criticism (https://reason.com/2023/03/29/the-statistically-flawed-evidence-that-social-media-is-causing-the-teen-mental-health-crisis/) Stuart Ritchie's criticism (https://inews.co.uk/news/technology/dont-panic-about-social-media-harming-your-childs-mental-health-the-evidence-is-weak-2230571) Peter Gray's criticism (https://petergray.substack.com/p/45-the-importance-of-critical-analyses) Datasets Unaggregated life satisfaction data for boys/girls ages 11/13/15 across 44 countries (https://data-browser.hbsc.org/measure/life-satisfaction/) Australia hospital admissions due to self harm (https://www.aihw.gov.au/suicide-self-harm-monitoring/data/intentional-self-harm-hospitalisations/intentional-self-harm-hospitalisations-by-age-sex) France hospital admissions due to self harm (https://drees.solidarites-sante.gouv.fr/sites/default/files/2024-05/ER1300EMB.pdf) Canada (https://yourhealthsystem.cihi.ca/hsp/inbrief?lang=en&_gl=1*rtyvsz*_gcl_au*MTA5ODMwMzc5MS4xNzM3NTAyMTk0*_ga*MTM0Njk4MTc4MS4xNzM3NTAyMTk0*_ga_44X3CK377B*MTczNzUwMjE5NC4xLjAuMTczNzUwMjIwNi4wLjAuMA..#!/indicators/083/self-harm-including-suicide/;mapC1;mapLevel2;sex(F);trend(C5001,C300);/) Ontario (https://www.cmaj.ca/content/195/36/E1210) # Socials Follow us on Twitter at @IncrementsPod, @BennyChugg, @VadenMasrani Come join our discord server! DM us on twitter or send us an email to get a supersecret link Become a patreon subscriber here (https://www.patreon.com/Increments). Or give us one-time cash donations to help cover our lack of cash donations here (https://ko-fi.com/increments). Click dem like buttons on youtube (https://www.youtube.com/channel/UC_4wZzQyoW4s4ZuE4FY9DQQ) No screen time for a month. If you send an email to incrementspodcast@gmail.com, we're taking away your iPad. Image credit: Is social media causing psychological harm to youth and young adults? (https://www.uclahealth.org/news/article/social-media-causing-psychological-harm-youth-and-young).
Send us a textDiscover the fascinating world of suppressor technology with Kevin Ladding from Arego's Guns in Hot Springs, Arkansas. Kevin shares his expertise on the various types of suppressors available, including high-end models like the Dead Air Nomad Titanium, and the considerations around materials like C300 for superior strength and lightweight properties. With humor and clarity, we unravel the complexities of suppressor ownership, from choosing the right suppressor for different calibers to understanding the balance between affordability and performance.Learn about the streamlined process of purchasing suppressors and the role of entities like Silencer Shop in simplifying this intricate journey. We shed light on the differences between NFA trusts and single-shot trusts, emphasizing the unique responsibilities each entails. Dive into the legalities and personal accountabilities involved, providing a clear path for enthusiasts and newcomers alike. Our discussion also highlights the importance of personal responsibility in suppressor ownership, while considering the benefits of individual applications for quicker processing times.We tackle the many myths surrounding suppressors, especially the Hollywood portrayal of silent gunfire. Instead, we focus on their real-world benefits for hearing protection and safety, particularly in hunting scenarios. Explore how suppressors affect firearms, from bullet velocity to point of impact, and the importance of maintaining them for optimal performance. Our conversation extends to the broader implications of suppressors on wildlife and legislative changes, advocating for a more sensible and streamlined regulatory framework. Join us for an insightful and entertaining discussion that champions the widespread ownership and understanding of suppressors.GUEST WEBSITE: https://www.aregoguns.com/OUR WEBSITE/OTC MERCH: https://offtheclockwithbscott.comHAVOC GEAR SHOP: https://havocnation.comHAVOC BOATS WEBSITE: https://havocboats.comHAVOC DEALERS: https://havocboats.com/dealers/SOCIAL LINKSTruth Social: https://truthsocial.com/@OffTheClockwithBScottFacebook: https://www.facebook.com/people/Off-The-Clock-With-B-Scott/61557737220814/Twitter (X): https://twitter.com/OTCwithBScottInstagram: https://www.instagram.com/offtheclockwithbscott/YouTube: https://www.youtube.com/channel/UCwu6_wWcXDoBzhpHv4YgZGQRumble: https://rumble.com/c/c-5644782Spotify: https://open.spotify.com/show/2g76hRDp9d609LETevSH2U?si=0ba23ae282c94e88&nd=1&dlsi=d9f84d7699b84724Apple Podcasts: https://podcasts.apple.com/us/podcast/off-the-clock-with-b-scott/id1734265760
Our next 2 big events are AI UX and the World's Fair. Join and apply to speak/sponsor!Due to timing issues we didn't have an interview episode to share with you this week, but not to worry, we have more than enough “weekend special” content in the backlog for you to get your Latent Space fix, whether you like thinking about the big picture, or learning more about the pod behind the scenes, or talking Groq and GPUs, or AI Leadership, or Personal AI. Enjoy!AI BreakdownThe indefatigable NLW had us back on his show for an update on the Four Wars, covering Sora, Suno, and the reshaped GPT-4 Class Landscape:and a longer segment on AI Engineering trends covering the future LLM landscape (Llama 3, GPT-5, Gemini 2, Claude 4), Open Source Models (Mistral, Grok), Apple and Meta's AI strategy, new chips (Groq, MatX) and the general movement from baby AGIs to vertical Agents:Thursday Nights in AIWe're also including swyx's interview with Josh Albrecht and Ali Rohde to reintroduce swyx and Latent Space to a general audience, and engage in some spicy Q&A:Dylan Patel on GroqWe hosted a private event with Dylan Patel of SemiAnalysis (our last pod here):Not all of it could be released so we just talked about our Groq estimates:Milind Naphade - Capital OneIn relation to conversations at NeurIPS and Nvidia GTC and upcoming at World's Fair, we also enjoyed chatting with Milind Naphade about his AI Leadership work at IBM, Cisco, Nvidia, and now leading the AI Foundations org at Capital One. We covered:* Milind's learnings from ~25 years in machine learning * His first paper citation was 24 years ago* Lessons from working with Jensen Huang for 6 years and being CTO of Metropolis * Thoughts on relevant AI research* GTC takeaways and what makes NVIDIA specialIf you'd like to work on building solutions rather than platform (as Milind put it), his Applied AI Research team at Capital One is hiring, which falls under the Capital One Tech team.Personal AI MeetupIt all started with a meme:Within days of each other, BEE, FRIEND, EmilyAI, Compass, Nox and LangFriend were all launching personal AI wearables and assistants. So we decided to put together a the world's first Personal AI meetup featuring creators and enthusiasts of wearables. The full video is live now, with full show notes within.Timestamps* [00:01:13] AI Breakdown Part 1* [00:02:20] Four Wars* [00:13:45] Sora* [00:15:12] Suno* [00:16:34] The GPT-4 Class Landscape* [00:17:03] Data War: Reddit x Google* [00:21:53] Gemini 1.5 vs Claude 3* [00:26:58] AI Breakdown Part 2* [00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4* [00:31:11] Open Source Models - Mistral, Grok* [00:34:13] Apple MM1* [00:37:33] Meta's $800b AI rebrand* [00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents* [00:47:28] Adept episode - Screen Multimodality* [00:48:54] Top Model Research from January Recap* [00:53:08] AI Wearables* [00:57:26] Groq vs Nvidia month - GPU Chip War* [01:00:31] Disagreements* [01:02:08] Summer 2024 Predictions* [01:04:18] Thursday Nights in AI - swyx* [01:33:34] Dylan Patel - Semianalysis + Latent Space Live Show* [01:34:58] GroqTranscript[00:00:00] swyx: Welcome to the Latent Space Podcast Weekend Edition. This is Charlie, your AI co host. Swyx and Alessio are off for the week, making more great content. We have exciting interviews coming up with Elicit, Chroma, Instructor, and our upcoming series on NSFW, Not Safe for Work AI. In today's episode, we're collating some of Swyx and Alessio's recent appearances, all in one place for you to find.[00:00:32] swyx: In part one, we have our first crossover pod of the year. In our listener survey, several folks asked for more thoughts from our two hosts. In 2023, Swyx and Alessio did crossover interviews with other great podcasts like the AI Breakdown, Practical AI, Cognitive Revolution, Thursday Eye, and Chinatalk, all of which you can find in the Latentspace About page.[00:00:56] swyx: NLW of the AI Breakdown asked us back to do a special on the 4Wars framework and the AI engineer scene. We love AI Breakdown as one of the best examples Daily podcasts to keep up on AI news, so we were especially excited to be back on Watch out and take[00:01:12] NLW: care[00:01:13] AI Breakdown Part 1[00:01:13] NLW: today on the AI breakdown. Part one of my conversation with Alessio and Swix from Latent Space.[00:01:19] NLW: All right, fellas, welcome back to the AI Breakdown. How are you doing? I'm good. Very good. With the last, the last time we did this show, we were like, oh yeah, let's do check ins like monthly about all the things that are going on and then. Of course, six months later, and, you know, the, the, the world has changed in a thousand ways.[00:01:36] NLW: It's just, it's too busy to even, to even think about podcasting sometimes. But I, I'm super excited to, to be chatting with you again. I think there's, there's a lot to, to catch up on, just to tap in, I think in the, you know, in the beginning of 2024. And, and so, you know, we're gonna talk today about just kind of a, a, a broad sense of where things are in some of the key battles in the AI space.[00:01:55] NLW: And then the, you know, one of the big things that I, that I'm really excited to have you guys on here for us to talk about where, sort of what patterns you're seeing and what people are actually trying to build, you know, where, where developers are spending their, their time and energy and, and, and any sort of, you know, trend trends there, but maybe let's start I guess by checking in on a framework that you guys actually introduced, which I've loved and I've cribbed a couple of times now, which is this sort of four wars of the, of the AI stack.[00:02:20] Four Wars[00:02:20] NLW: Because first, since I have you here, I'd love, I'd love to hear sort of like where that started gelling. And then and then maybe we can get into, I think a couple of them that are you know, particularly interesting, you know, in the, in light of[00:02:30] swyx: some recent news. Yeah, so maybe I'll take this one. So the four wars is a framework that I came up around trying to recap all of 2023.[00:02:38] swyx: I tried to write sort of monthly recap pieces. And I was trying to figure out like what makes one piece of news last longer than another or more significant than another. And I think it's basically always around battlegrounds. Wars are fought around limited resources. And I think probably the, you know, the most limited resource is talent, but the talent expresses itself in a number of areas.[00:03:01] swyx: And so I kind of focus on those, those areas at first. So the four wars that we cover are the data wars, the GPU rich, poor war, the multi modal war, And the RAG and Ops War. And I think you actually did a dedicated episode to that, so thanks for covering that. Yeah, yeah.[00:03:18] NLW: Not only did I do a dedicated episode, I actually used that.[00:03:22] NLW: I can't remember if I told you guys. I did give you big shoutouts. But I used it as a framework for a presentation at Intel's big AI event that they hold each year, where they have all their folks who are working on AI internally. And it totally resonated. That's amazing. Yeah, so, so, what got me thinking about it again is specifically this inflection news that we recently had, this sort of, you know, basically, I can't imagine that anyone who's listening wouldn't have thought about it, but, you know, inflection is a one of the big contenders, right?[00:03:53] NLW: I think probably most folks would have put them, you know, just a half step behind the anthropics and open AIs of the world in terms of labs, but it's a company that raised 1. 3 billion last year, less than a year ago. Reed Hoffman's a co founder Mustafa Suleyman, who's a co founder of DeepMind, you know, so it's like, this is not a a small startup, let's say, at least in terms of perception.[00:04:13] NLW: And then we get the news that basically most of the team, it appears, is heading over to Microsoft and they're bringing in a new CEO. And you know, I'm interested in, in, in kind of your take on how much that reflects, like hold aside, I guess, you know, all the other things that it might be about, how much it reflects this sort of the, the stark.[00:04:32] NLW: Brutal reality of competing in the frontier model space right now. And, you know, just the access to compute.[00:04:38] Alessio: There are a lot of things to say. So first of all, there's always somebody who's more GPU rich than you. So inflection is GPU rich by startup standard. I think about 22, 000 H100s, but obviously that pales compared to the, to Microsoft.[00:04:55] Alessio: The other thing is that this is probably good news, maybe for the startups. It's like being GPU rich, it's not enough. You know, like I think they were building something pretty interesting in, in pi of their own model of their own kind of experience. But at the end of the day, you're the interface that people consume as end users.[00:05:13] Alessio: It's really similar to a lot of the others. So and we'll tell, talk about GPT four and cloud tree and all this stuff. GPU poor, doing something. That the GPU rich are not interested in, you know we just had our AI center of excellence at Decibel and one of the AI leads at one of the big companies was like, Oh, we just saved 10 million and we use these models to do a translation, you know, and that's it.[00:05:39] Alessio: It's not, it's not a GI, it's just translation. So I think like the inflection part is maybe. A calling and a waking to a lot of startups then say, Hey, you know, trying to get as much capital as possible, try and get as many GPUs as possible. Good. But at the end of the day, it doesn't build a business, you know, and maybe what inflection I don't, I don't, again, I don't know the reasons behind the inflection choice, but if you say, I don't want to build my own company that has 1.[00:06:05] Alessio: 3 billion and I want to go do it at Microsoft, it's probably not a resources problem. It's more of strategic decisions that you're making as a company. So yeah, that was kind of my. I take on it.[00:06:15] swyx: Yeah, and I guess on my end, two things actually happened yesterday. It was a little bit quieter news, but Stability AI had some pretty major departures as well.[00:06:25] swyx: And you may not be considering it, but Stability is actually also a GPU rich company in the sense that they were the first new startup in this AI wave to brag about how many GPUs that they have. And you should join them. And you know, Imadis is definitely a GPU trader in some sense from his hedge fund days.[00:06:43] swyx: So Robin Rhombach and like the most of the Stable Diffusion 3 people left Stability yesterday as well. So yesterday was kind of like a big news day for the GPU rich companies, both Inflection and Stability having sort of wind taken out of their sails. I think, yes, it's a data point in the favor of Like, just because you have the GPUs doesn't mean you can, you automatically win.[00:07:03] swyx: And I think, you know, kind of I'll echo what Alessio says there. But in general also, like, I wonder if this is like the start of a major consolidation wave, just in terms of, you know, I think that there was a lot of funding last year and, you know, the business models have not been, you know, All of these things worked out very well.[00:07:19] swyx: Even inflection couldn't do it. And so I think maybe that's the start of a small consolidation wave. I don't think that's like a sign of AI winter. I keep looking for AI winter coming. I think this is kind of like a brief cold front. Yeah,[00:07:34] NLW: it's super interesting. So I think a bunch of A bunch of stuff here.[00:07:38] NLW: One is, I think, to both of your points, there, in some ways, there, there had already been this very clear demarcation between these two sides where, like, the GPU pores, to use the terminology, like, just weren't trying to compete on the same level, right? You know, the vast majority of people who have started something over the last year, year and a half, call it, were racing in a different direction.[00:07:59] NLW: They're trying to find some edge somewhere else. They're trying to build something different. If they're, if they're really trying to innovate, it's in different areas. And so it's really just this very small handful of companies that are in this like very, you know, it's like the coheres and jaspers of the world that like this sort of, you know, that are that are just sort of a little bit less resourced than, you know, than the other set that I think that this potentially even applies to, you know, everyone else that could clearly demarcate it into these two, two sides.[00:08:26] NLW: And there's only a small handful kind of sitting uncomfortably in the middle, perhaps. Let's, let's come back to the idea of, of the sort of AI winter or, you know, a cold front or anything like that. So this is something that I, I spent a lot of time kind of thinking about and noticing. And my perception is that The vast majority of the folks who are trying to call for sort of, you know, a trough of disillusionment or, you know, a shifting of the phase to that are people who either, A, just don't like AI for some other reason there's plenty of that, you know, people who are saying, You Look, they're doing way worse than they ever thought.[00:09:03] NLW: You know, there's a lot of sort of confirmation bias kind of thing going on. Or two, media that just needs a different narrative, right? Because they're sort of sick of, you know, telling the same story. Same thing happened last summer, when every every outlet jumped on the chat GPT at its first down month story to try to really like kind of hammer this idea that that the hype was too much.[00:09:24] NLW: Meanwhile, you have, you know, just ridiculous levels of investment from enterprises, you know, coming in. You have, you know, huge, huge volumes of, you know, individual behavior change happening. But I do think that there's nothing incoherent sort of to your point, Swyx, about that and the consolidation period.[00:09:42] NLW: Like, you know, if you look right now, for example, there are, I don't know, probably 25 or 30 credible, like, build your own chatbot. platforms that, you know, a lot of which have, you know, raised funding. There's no universe in which all of those are successful across, you know, even with a, even, even with a total addressable market of every enterprise in the world, you know, you're just inevitably going to see some amount of consolidation.[00:10:08] NLW: Same with, you know, image generators. There are, if you look at A16Z's top 50 consumer AI apps, just based on, you know, web traffic or whatever, they're still like I don't know, a half. Dozen or 10 or something, like, some ridiculous number of like, basically things like Midjourney or Dolly three. And it just seems impossible that we're gonna have that many, you know, ultimately as, as, as sort of, you know, going, going concerned.[00:10:33] NLW: So, I don't know. I, I, I think that the, there will be inevitable consolidation 'cause you know. It's, it's also what kind of like venture rounds are supposed to do. You're not, not everyone who gets a seed round is supposed to get to series A and not everyone who gets a series A is supposed to get to series B.[00:10:46] NLW: That's sort of the natural process. I think it will be tempting for a lot of people to try to infer from that something about AI not being as sort of big or as as sort of relevant as, as it was hyped up to be. But I, I kind of think that's the wrong conclusion to come to.[00:11:02] Alessio: I I would say the experimentation.[00:11:04] Alessio: Surface is a little smaller for image generation. So if you go back maybe six, nine months, most people will tell you, why would you build a coding assistant when like Copilot and GitHub are just going to win everything because they have the data and they have all the stuff. If you fast forward today, A lot of people use Cursor everybody was excited about the Devin release on Twitter.[00:11:26] Alessio: There are a lot of different ways of attacking the market that are not completion of code in the IDE. And even Cursors, like they evolved beyond single line to like chat, to do multi line edits and, and all that stuff. Image generation, I would say, yeah, as a, just as from what I've seen, like maybe the product innovation has slowed down at the UX level and people are improving the models.[00:11:50] Alessio: So the race is like, how do I make better images? It's not like, how do I make the user interact with the generation process better? And that gets tough, you know? It's hard to like really differentiate yourselves. So yeah, that's kind of how I look at it. And when we think about multimodality, maybe the reason why people got so excited about Sora is like, oh, this is like a completely It's not a better image model.[00:12:13] Alessio: This is like a completely different thing, you know? And I think the creative mind It's always looking for something that impacts the viewer in a different way, you know, like they really want something different versus the developer mind. It's like, Oh, I, I just, I have this like very annoying thing I want better.[00:12:32] Alessio: I have this like very specific use cases that I want to go after. So it's just different. And that's why you see a lot more companies in image generation. But I agree with you that. If you fast forward there, there's not going to be 10 of them, you know, it's probably going to be one or[00:12:46] swyx: two. Yeah, I mean, to me, that's why I call it a war.[00:12:49] swyx: Like, individually, all these companies can make a story that kind of makes sense, but collectively, they cannot all be true. Therefore, they all, there is some kind of fight over limited resources here. Yeah, so[00:12:59] NLW: it's interesting. We wandered very naturally into sort of another one of these wars, which is the multimodality kind of idea, which is, you know, basically a question of whether it's going to be these sort of big everything models that end up winning or whether, you know, you're going to have really specific things, you know, like something, you know, Dolly 3 inside of sort of OpenAI's larger models versus, you know, a mid journey or something like that.[00:13:24] NLW: And at first, you know, I was kind of thinking like, For most of the last, call it six months or whatever, it feels pretty definitively both and in some ways, you know, and that you're, you're seeing just like great innovation on sort of the everything models, but you're also seeing lots and lots happen at sort of the level of kind of individual use cases.[00:13:45] Sora[00:13:45] NLW: But then Sora comes along and just like obliterates what I think anyone thought you know, where we were when it comes to video generation. So how are you guys thinking about this particular battle or war at the moment?[00:13:59] swyx: Yeah, this was definitely a both and story, and Sora tipped things one way for me, in terms of scale being all you need.[00:14:08] swyx: And the benefit, I think, of having multiple models being developed under one roof. I think a lot of people aren't aware that Sora was developed in a similar fashion to Dolly 3. And Dolly3 had a very interesting paper out where they talked about how they sort of bootstrapped their synthetic data based on GPT 4 vision and GPT 4.[00:14:31] swyx: And, and it was just all, like, really interesting, like, if you work on one modality, it enables you to work on other modalities, and all that is more, is, is more interesting. I think it's beneficial if it's all in the same house, whereas the individual startups who don't, who sort of carve out a single modality and work on that, definitely won't have the state of the art stuff on helping them out on synthetic data.[00:14:52] swyx: So I do think like, The balance is tilted a little bit towards the God model companies, which is challenging for the, for the, for the the sort of dedicated modality companies. But everyone's carving out different niches. You know, like we just interviewed Suno ai, the sort of music model company, and, you know, I don't see opening AI pursuing music anytime soon.[00:15:12] Suno[00:15:12] swyx: Yeah,[00:15:13] NLW: Suno's been phenomenal to play with. Suno has done that rare thing where, which I think a number of different AI product categories have done, where people who don't consider themselves particularly interested in doing the thing that the AI enables find themselves doing a lot more of that thing, right?[00:15:29] NLW: Like, it'd be one thing if Just musicians were excited about Suno and using it but what you're seeing is tons of people who just like music all of a sudden like playing around with it and finding themselves kind of down that rabbit hole, which I think is kind of like the highest compliment that you can give one of these startups at the[00:15:45] swyx: early days of it.[00:15:46] swyx: Yeah, I, you know, I, I asked them directly, you know, in the interview about whether they consider themselves mid journey for music. And he had a more sort of nuanced response there, but I think that probably the business model is going to be very similar because he's focused on the B2C element of that. So yeah, I mean, you know, just to, just to tie back to the question about, you know, You know, large multi modality companies versus small dedicated modality companies.[00:16:10] swyx: Yeah, highly recommend people to read the Sora blog posts and then read through to the Dali blog posts because they, they strongly correlated themselves with the same synthetic data bootstrapping methods as Dali. And I think once you make those connections, you're like, oh, like it, it, it is beneficial to have multiple state of the art models in house that all help each other.[00:16:28] swyx: And these, this, that's the one thing that a dedicated modality company cannot do.[00:16:34] The GPT-4 Class Landscape[00:16:34] NLW: So I, I wanna jump, I wanna kind of build off that and, and move into the sort of like updated GPT-4 class landscape. 'cause that's obviously been another big change over the last couple months. But for the sake of completeness, is there anything that's worth touching on with with sort of the quality?[00:16:46] NLW: Quality data or sort of a rag ops wars just in terms of, you know, anything that's changed, I guess, for you fundamentally in the last couple of months about where those things stand.[00:16:55] swyx: So I think we're going to talk about rag for the Gemini and Clouds discussion later. And so maybe briefly discuss the data piece.[00:17:03] Data War: Reddit x Google[00:17:03] swyx: I think maybe the only new thing was this Reddit deal with Google for like a 60 million dollar deal just ahead of their IPO, very conveniently turning Reddit into a AI data company. Also, very, very interestingly, a non exclusive deal, meaning that Reddit can resell that data to someone else. And it probably does become table stakes.[00:17:23] swyx: A lot of people don't know, but a lot of the web text dataset that originally started for GPT 1, 2, and 3 was actually scraped from GitHub. from Reddit at least the sort of vote scores. And I think, I think that's a, that's a very valuable piece of information. So like, yeah, I think people are figuring out how to pay for data.[00:17:40] swyx: People are suing each other over data. This, this, this war is, you know, definitely very, very much heating up. And I don't think, I don't see it getting any less intense. I, you know, next to GPUs, data is going to be the most expensive thing in, in a model stack company. And. You know, a lot of people are resorting to synthetic versions of it, which may or may not be kosher based on how far along or how commercially blessed the, the forms of creating that synthetic data are.[00:18:11] swyx: I don't know if Alessio, you have any other interactions with like Data source companies, but that's my two cents.[00:18:17] Alessio: Yeah yeah, I actually saw Quentin Anthony from Luther. ai at GTC this week. He's also been working on this. I saw Technium. He's also been working on the data side. I think especially in open source, people are like, okay, if everybody is putting the gates up, so to speak, to the data we need to make it easier for people that don't have 50 million a year to get access to good data sets.[00:18:38] Alessio: And Jensen, at his keynote, he did talk about synthetic data a little bit. So I think that's something that we'll definitely hear more and more of in the enterprise, which never bodes well, because then all the, all the people with the data are like, Oh, the enterprises want to pay now? Let me, let me put a pay here stripe link so that they can give me 50 million.[00:18:57] Alessio: But it worked for Reddit. I think the stock is up. 40 percent today after opening. So yeah, I don't know if it's all about the Google deal, but it's obviously Reddit has been one of those companies where, hey, you got all this like great community, but like, how are you going to make money? And like, they try to sell the avatars.[00:19:15] Alessio: I don't know if that it's a great business for them. The, the data part sounds as an investor, you know, the data part sounds a lot more interesting than, than consumer[00:19:25] swyx: cosmetics. Yeah, so I think, you know there's more questions around data you know, I think a lot of people are talking about the interview that Mira Murady did with the Wall Street Journal, where she, like, just basically had no, had no good answer for where they got the data for Sora.[00:19:39] swyx: I, I think this is where, you know, there's, it's in nobody's interest to be transparent about data, and it's, it's kind of sad for the state of ML and the state of AI research but it is what it is. We, we have to figure this out as a society, just like we did for music and music sharing. You know, in, in sort of the Napster to Spotify transition, and that might take us a decade.[00:19:59] swyx: Yeah, I[00:20:00] NLW: do. I, I agree. I think, I think that you're right to identify it, not just as that sort of technical problem, but as one where society has to have a debate with itself. Because I think that there's, if you rationally within it, there's Great kind of points on all side, not to be the sort of, you know, person who sits in the middle constantly, but it's why I think a lot of these legal decisions are going to be really important because, you know, the job of judges is to listen to all this stuff and try to come to things and then have other judges disagree.[00:20:24] NLW: And, you know, and have the rest of us all debate at the same time. By the way, as a total aside, I feel like the synthetic data right now is like eggs in the 80s and 90s. Like, whether they're good for you or bad for you, like, you know, we, we get one study that's like synthetic data, you know, there's model collapse.[00:20:42] NLW: And then we have like a hint that llama, you know, to the most high performance version of it, which was one they didn't release was trained on synthetic data. So maybe it's good. It's like, I just feel like every, every other week I'm seeing something sort of different about whether it's a good or bad for, for these models.[00:20:56] swyx: Yeah. The branding of this is pretty poor. I would kind of tell people to think about it like cholesterol. There's good cholesterol, bad cholesterol. And you can have, you know, good amounts of both. But at this point, it is absolutely without a doubt that most large models from here on out will all be trained as some kind of synthetic data and that is not a bad thing.[00:21:16] swyx: There are ways in which you can do it poorly. Whether it's commercial, you know, in terms of commercial sourcing or in terms of the model performance. But it's without a doubt that good synthetic data is going to help your model. And this is just a question of like where to obtain it and what kinds of synthetic data are valuable.[00:21:36] swyx: You know, if even like alpha geometry, you know, was, was a really good example from like earlier this year.[00:21:42] NLW: If you're using the cholesterol analogy, then my, then my egg thing can't be that far off. Let's talk about the sort of the state of the art and the, and the GPT 4 class landscape and how that's changed.[00:21:53] Gemini 1.5 vs Claude 3[00:21:53] NLW: Cause obviously, you know, sort of the, the two big things or a couple of the big things that have happened. Since we last talked, we're one, you know, Gemini first announcing that a model was coming and then finally it arriving, and then very soon after a sort of a different model arriving from Gemini and and Cloud three.[00:22:11] NLW: So I guess, you know, I'm not sure exactly where the right place to start with this conversation is, but, you know, maybe very broadly speaking which of these do you think have made a bigger impact? Thank you.[00:22:20] Alessio: Probably the one you can use, right? So, Cloud. Well, I'm sure Gemini is going to be great once they let me in, but so far I haven't been able to.[00:22:29] Alessio: I use, so I have this small podcaster thing that I built for our podcast, which does chapters creation, like named entity recognition, summarization, and all of that. Cloud Tree is, Better than GPT 4. Cloud2 was unusable. So I use GPT 4 for everything. And then when Opus came out, I tried them again side by side and I posted it on, on Twitter as well.[00:22:53] Alessio: Cloud is better. It's very good, you know, it's much better, it seems to me, it's much better than GPT 4 at doing writing that is more, you know, I don't know, it just got good vibes, you know, like the GPT 4 text, you can tell it's like GPT 4, you know, it's like, it always uses certain types of words and phrases and, you know, maybe it's just me because I've now done it for, you know, So, I've read like 75, 80 generations of these things next to each other.[00:23:21] Alessio: Clutter is really good. I know everybody is freaking out on twitter about it, my only experience of this is much better has been on the podcast use case. But I know that, you know, Quran from from News Research is a very big opus pro, pro opus person. So, I think that's also It's great to have people that actually care about other models.[00:23:40] Alessio: You know, I think so far to a lot of people, maybe Entropic has been the sibling in the corner, you know, it's like Cloud releases a new model and then OpenAI releases Sora and like, you know, there are like all these different things, but yeah, the new models are good. It's interesting.[00:23:55] NLW: My my perception is definitely that just, just observationally, Cloud 3 is certainly the first thing that I've seen where lots of people.[00:24:06] NLW: They're, no one's debating evals or anything like that. They're talking about the specific use cases that they have, that they used to use chat GPT for every day, you know, day in, day out, that they've now just switched over. And that has, I think, shifted a lot of the sort of like vibe and sentiment in the space too.[00:24:26] NLW: And I don't necessarily think that it's sort of a A like full you know, sort of full knock. Let's put it this way. I think it's less bad for open AI than it is good for anthropic. I think that because GPT 5 isn't there, people are not quite willing to sort of like, you know get overly critical of, of open AI, except in so far as they're wondering where GPT 5 is.[00:24:46] NLW: But I do think that it makes, Anthropic look way more credible as a, as a, as a player, as a, you know, as a credible sort of player, you know, as opposed to to, to where they were.[00:24:57] Alessio: Yeah. And I would say the benchmarks veil is probably getting lifted this year. I think last year. People were like, okay, this is better than this on this benchmark, blah, blah, blah, because maybe they did not have a lot of use cases that they did frequently.[00:25:11] Alessio: So it's hard to like compare yourself. So you, you defer to the benchmarks. I think now as we go into 2024, a lot of people have started to use these models from, you know, from very sophisticated things that they run in production to some utility that they have on their own. Now they can just run them side by side.[00:25:29] Alessio: And it's like, Hey, I don't care that like. The MMLU score of Opus is like slightly lower than GPT 4. It just works for me, you know, and I think that's the same way that traditional software has been used by people, right? Like you just strive for yourself and like, which one does it work, works best for you?[00:25:48] Alessio: Like nobody looks at benchmarks outside of like sales white papers, you know? And I think it's great that we're going more in that direction. We have a episode with Adapt coming out this weekend. I'll and some of their model releases, they specifically say, We do not care about benchmarks, so we didn't put them in, you know, because we, we don't want to look good on them.[00:26:06] Alessio: We just want the product to work. And I think more and more people will, will[00:26:09] swyx: go that way. Yeah. I I would say like, it does take the wind out of the sails for GPT 5, which I know where, you know, Curious about later on. I think anytime you put out a new state of the art model, you have to break through in some way.[00:26:21] swyx: And what Claude and Gemini have done is effectively take away any advantage to saying that you have a million token context window. Now everyone's just going to be like, Oh, okay. Now you just match the other two guys. And so that puts An insane amount of pressure on what gpt5 is going to be because it's just going to have like the only option it has now because all the other models are multimodal all the other models are long context all the other models have perfect recall gpt5 has to match everything and do more to to not be a flop[00:26:58] AI Breakdown Part 2[00:26:58] NLW: hello friends back again with part two if you haven't heard part one of this conversation i suggest you go check it out but to be honest they are kind of actually separable In this conversation, we get into a topic that I think Alessio and Swyx are very well positioned to discuss, which is what developers care about right now, what people are trying to build around.[00:27:16] NLW: I honestly think that one of the best ways to see the future in an industry like AI is to try to dig deep on what developers and entrepreneurs are attracted to build, even if it hasn't made it to the news pages yet. So consider this your preview of six months from now, and let's dive in. Let's bring it to the GPT 5 conversation.[00:27:33] Next Frontiers: Llama 3, GPT-5, Gemini 2, Claude 4[00:27:33] NLW: I mean, so, so I think that that's a great sort of assessment of just how the stakes have been raised, you know is your, I mean, so I guess maybe, maybe I'll, I'll frame this less as a question, just sort of something that, that I, that I've been watching right now, the only thing that makes sense to me with how.[00:27:50] NLW: Fundamentally unbothered and unstressed OpenAI seems about everything is that they're sitting on something that does meet all that criteria, right? Because, I mean, even in the Lex Friedman interview that, that Altman recently did, you know, he's talking about other things coming out first. He's talking about, he's just like, he, listen, he, he's good and he could play nonchalant, you know, if he wanted to.[00:28:13] NLW: So I don't want to read too much into it, but. You know, they've had so long to work on this, like unless that we are like really meaningfully running up against some constraint, it just feels like, you know, there's going to be some massive increase, but I don't know. What do you guys think?[00:28:28] swyx: Hard to speculate.[00:28:29] swyx: You know, at this point, they're, they're pretty good at PR and they're not going to tell you anything that they don't want to. And he can tell you one thing and change their minds the next day. So it's, it's, it's really, you know, I've always said that model version numbers are just marketing exercises, like they have something and it's always improving and at some point you just cut it and decide to call it GPT 5.[00:28:50] swyx: And it's more just about defining an arbitrary level at which they're ready and it's up to them on what ready means. We definitely did see some leaks on GPT 4. 5, as I think a lot of people reported and I'm not sure if you covered it. So it seems like there might be an intermediate release. But I did feel, coming out of the Lex Friedman interview, that GPT 5 was nowhere near.[00:29:11] swyx: And you know, it was kind of a sharp contrast to Sam talking at Davos in February, saying that, you know, it was his top priority. So I find it hard to square. And honestly, like, there's also no point Reading too much tea leaves into what any one person says about something that hasn't happened yet or has a decision that hasn't been taken yet.[00:29:31] swyx: Yeah, that's, that's my 2 cents about it. Like, calm down, let's just build .[00:29:35] Alessio: Yeah. The, the February rumor was that they were gonna work on AI agents, so I don't know, maybe they're like, yeah,[00:29:41] swyx: they had two agent two, I think two agent projects, right? One desktop agent and one sort of more general yeah, sort of GPTs like agent and then Andre left, so he was supposed to be the guy on that.[00:29:52] swyx: What did Andre see? What did he see? I don't know. What did he see?[00:29:56] Alessio: I don't know. But again, it's just like the rumors are always floating around, you know but I think like, this is, you know, we're not going to get to the end of the year without Jupyter you know, that's definitely happening. I think the biggest question is like, are Anthropic and Google.[00:30:13] Alessio: Increasing the pace, you know, like it's the, it's the cloud four coming out like in 12 months, like nine months. What's the, what's the deal? Same with Gemini. They went from like one to 1. 5 in like five days or something. So when's Gemini 2 coming out, you know, is that going to be soon? I don't know.[00:30:31] Alessio: There, there are a lot of, speculations, but the good thing is that now you can see a world in which OpenAI doesn't rule everything. You know, so that, that's the best, that's the best news that everybody got, I would say.[00:30:43] swyx: Yeah, and Mistral Large also dropped in the last month. And, you know, not as, not quite GPT 4 class, but very good from a new startup.[00:30:52] swyx: So yeah, we, we have now slowly changed in landscape, you know. In my January recap, I was complaining that nothing's changed in the landscape for a long time. But now we do exist in a world, sort of a multipolar world where Cloud and Gemini are legitimate challengers to GPT 4 and hopefully more will emerge as well hopefully from meta.[00:31:11] Open Source Models - Mistral, Grok[00:31:11] NLW: So speak, let's actually talk about sort of the open source side of this for a minute. So Mistral Large, notable because it's, it's not available open source in the same way that other things are, although I think my perception is that the community has largely given them Like the community largely recognizes that they want them to keep building open source stuff and they have to find some way to fund themselves that they're going to do that.[00:31:27] NLW: And so they kind of understand that there's like, they got to figure out how to eat, but we've got, so, you know, there there's Mistral, there's, I guess, Grok now, which is, you know, Grok one is from, from October is, is open[00:31:38] swyx: sourced at, yeah. Yeah, sorry, I thought you thought you meant Grok the chip company.[00:31:41] swyx: No, no, no, yeah, you mean Twitter Grok.[00:31:43] NLW: Although Grok the chip company, I think is even more interesting in some ways, but and then there's the, you know, obviously Llama3 is the one that sort of everyone's wondering about too. And, you know, my, my sense of that, the little bit that, you know, Zuckerberg was talking about Llama 3 earlier this year, suggested that, at least from an ambition standpoint, he was not thinking about how do I make sure that, you know, meta content, you know, keeps, keeps the open source thrown, you know, vis a vis Mistral.[00:32:09] NLW: He was thinking about how you go after, you know, how, how he, you know, releases a thing that's, you know, every bit as good as whatever OpenAI is on at that point.[00:32:16] Alessio: Yeah. From what I heard in the hallways at, at GDC, Llama 3, the, the biggest model will be, you 260 to 300 billion parameters, so that that's quite large.[00:32:26] Alessio: That's not an open source model. You know, you cannot give people a 300 billion parameters model and ask them to run it. You know, it's very compute intensive. So I think it is, it[00:32:35] swyx: can be open source. It's just, it's going to be difficult to run, but that's a separate question.[00:32:39] Alessio: It's more like, as you think about what they're doing it for, you know, it's not like empowering the person running.[00:32:45] Alessio: llama. On, on their laptop, it's like, oh, you can actually now use this to go after open AI, to go after Anthropic, to go after some of these companies at like the middle complexity level, so to speak. Yeah. So obviously, you know, we estimate Gentala on the podcast, they're doing a lot here, they're making PyTorch better.[00:33:03] Alessio: You know, they want to, that's kind of like maybe a little bit of a shorted. Adam Bedia, in a way, trying to get some of the CUDA dominance out of it. Yeah, no, it's great. The, I love the duck destroying a lot of monopolies arc. You know, it's, it's been very entertaining. Let's bridge[00:33:18] NLW: into the sort of big tech side of this, because this is obviously like, so I think actually when I did my episode, this was one of the I added this as one of as an additional war that, that's something that I'm paying attention to.[00:33:29] NLW: So we've got Microsoft's moves with inflection, which I think pretend, potentially are being read as A shift vis a vis the relationship with OpenAI, which also the sort of Mistral large relationship seems to reinforce as well. We have Apple potentially entering the race, finally, you know, giving up Project Titan and and, and kind of trying to spend more effort on this.[00:33:50] NLW: Although, Counterpoint, we also have them talking about it, or there being reports of a deal with Google, which, you know, is interesting to sort of see what their strategy there is. And then, you know, Meta's been largely quiet. We kind of just talked about the main piece, but, you know, there's, and then there's spoilers like Elon.[00:34:07] NLW: I mean, you know, what, what of those things has sort of been most interesting to you guys as you think about what's going to shake out for the rest of this[00:34:13] Apple MM1[00:34:13] swyx: year? I'll take a crack. So the reason we don't have a fifth war for the Big Tech Wars is that's one of those things where I just feel like we don't cover differently from other media channels, I guess.[00:34:26] swyx: Sure, yeah. In our anti interestness, we actually say, like, we try not to cover the Big Tech Game of Thrones, or it's proxied through Twitter. You know, all the other four wars anyway, so there's just a lot of overlap. Yeah, I think absolutely, personally, the most interesting one is Apple entering the race.[00:34:41] swyx: They actually released, they announced their first large language model that they trained themselves. It's like a 30 billion multimodal model. People weren't that impressed, but it was like the first time that Apple has kind of showcased that, yeah, we're training large models in house as well. Of course, like, they might be doing this deal with Google.[00:34:57] swyx: I don't know. It sounds very sort of rumor y to me. And it's probably, if it's on device, it's going to be a smaller model. So something like a Jemma. It's going to be smarter autocomplete. I don't know what to say. I'm still here dealing with, like, Siri, which hasn't, probably hasn't been updated since God knows when it was introduced.[00:35:16] swyx: It's horrible. I, you know, it, it, it makes me so angry. So I, I, one, as an Apple customer and user, I, I'm just hoping for better AI on Apple itself. But two, they are the gold standard when it comes to local devices, personal compute and, and trust, like you, you trust them with your data. And. I think that's what a lot of people are looking for in AI, that they have, they love the benefits of AI, they don't love the downsides, which is that you have to send all your data to some cloud somewhere.[00:35:45] swyx: And some of this data that we're going to feed AI is just the most personal data there is. So Apple being like one of the most trusted personal data companies, I think it's very important that they enter the AI race, and I hope to see more out of them.[00:35:58] Alessio: To me, the, the biggest question with the Google deal is like, who's paying who?[00:36:03] Alessio: Because for the browsers, Google pays Apple like 18, 20 billion every year to be the default browser. Is Google going to pay you to have Gemini or is Apple paying Google to have Gemini? I think that's, that's like what I'm most interested to figure out because with the browsers, it's like, it's the entry point to the thing.[00:36:21] Alessio: So it's really valuable to be the default. That's why Google pays. But I wonder if like the perception in AI is going to be like, Hey. You just have to have a good local model on my phone to be worth me purchasing your device. And that was, that's kind of drive Apple to be the one buying the model. But then, like Shawn said, they're doing the MM1 themselves.[00:36:40] Alessio: So are they saying we do models, but they're not as good as the Google ones? I don't know. The whole thing is, it's really confusing, but. It makes for great meme material on on Twitter.[00:36:51] swyx: Yeah, I mean, I think, like, they are possibly more than OpenAI and Microsoft and Amazon. They are the most full stack company there is in computing, and so, like, they own the chips, man.[00:37:05] swyx: Like, they manufacture everything so if, if, if there was a company that could do that. You know, seriously challenge the other AI players. It would be Apple. And it's, I don't think it's as hard as self driving. So like maybe they've, they've just been investing in the wrong thing this whole time. We'll see.[00:37:21] swyx: Wall Street certainly thinks[00:37:22] NLW: so. Wall Street loved that move, man. There's a big, a big sigh of relief. Well, let's, let's move away from, from sort of the big stuff. I mean, the, I think to both of your points, it's going to.[00:37:33] Meta's $800b AI rebrand[00:37:33] NLW: Can I, can[00:37:34] swyx: I, can I, can I jump on factoid about this, this Wall Street thing? I went and looked at when Meta went from being a VR company to an AI company.[00:37:44] swyx: And I think the stock I'm trying to look up the details now. The stock has gone up 187% since Lamo one. Yeah. Which is $830 billion in market value created in the past year. . Yeah. Yeah.[00:37:57] NLW: It's, it's, it's like, remember if you guys haven't Yeah. If you haven't seen the chart, it's actually like remarkable.[00:38:02] NLW: If you draw a little[00:38:03] swyx: arrow on it, it's like, no, we're an AI company now and forget the VR thing.[00:38:10] NLW: It's it, it is an interesting, no, it's, I, I think, alessio, you called it sort of like Zuck's Disruptor Arc or whatever. He, he really does. He is in the midst of a, of a total, you know, I don't know if it's a redemption arc or it's just, it's something different where, you know, he, he's sort of the spoiler.[00:38:25] NLW: Like people loved him just freestyle talking about why he thought they had a better headset than Apple. But even if they didn't agree, they just loved it. He was going direct to camera and talking about it for, you know, five minutes or whatever. So that, that's a fascinating shift that I don't think anyone had on their bingo card, you know, whatever, two years ago.[00:38:41] NLW: Yeah. Yeah,[00:38:42] swyx: we still[00:38:43] Alessio: didn't see and fight Elon though, so[00:38:45] swyx: that's what I'm really looking forward to. I mean, hey, don't, don't, don't write it off, you know, maybe just these things take a while to happen. But we need to see and fight in the Coliseum. No, I think you know, in terms of like self management, life leadership, I think he has, there's a lot of lessons to learn from him.[00:38:59] swyx: You know he might, you know, you might kind of quibble with, like, the social impact of Facebook, but just himself as a in terms of personal growth and, and, you know, Per perseverance through like a lot of change and you know, everyone throwing stuff his way. I think there's a lot to say about like, to learn from, from Zuck, which is crazy 'cause he's my age.[00:39:18] swyx: Yeah. Right.[00:39:20] AI Engineer landscape - from baby AGIs to vertical Agents[00:39:20] NLW: Awesome. Well, so, so one of the big things that I think you guys have, you know, distinct and, and unique insight into being where you are and what you work on is. You know, what developers are getting really excited about right now. And by that, I mean, on the one hand, certainly, you know, like startups who are actually kind of formalized and formed to startups, but also, you know, just in terms of like what people are spending their nights and weekends on what they're, you know, coming to hackathons to do.[00:39:45] NLW: And, you know, I think it's a, it's a, it's, it's such a fascinating indicator for, for where things are headed. Like if you zoom back a year, right now was right when everyone was getting so, so excited about. AI agent stuff, right? Auto, GPT and baby a GI. And these things were like, if you dropped anything on YouTube about those, like instantly tens of thousands of views.[00:40:07] NLW: I know because I had like a 50,000 view video, like the second day that I was doing the show on YouTube, you know, because I was talking about auto GPT. And so anyways, you know, obviously that's sort of not totally come to fruition yet, but what are some of the trends in what you guys are seeing in terms of people's, people's interest and, and, and what people are building?[00:40:24] Alessio: I can start maybe with the agents part and then I know Shawn is doing a diffusion meetup tonight. There's a lot of, a lot of different things. The, the agent wave has been the most interesting kind of like dream to reality arc. So out of GPT, I think they went, From zero to like 125, 000 GitHub stars in six weeks, and then one year later, they have 150, 000 stars.[00:40:49] Alessio: So there's kind of been a big plateau. I mean, you might say there are just not that many people that can start it. You know, everybody already started it. But the promise of, hey, I'll just give you a goal, and you do it. I think it's like, amazing to get people's imagination going. You know, they're like, oh, wow, this This is awesome.[00:41:08] Alessio: Everybody, everybody can try this to do anything. But then as technologists, you're like, well, that's, that's just like not possible, you know, we would have like solved everything. And I think it takes a little bit to go from the promise and the hope that people show you to then try it yourself and going back to say, okay, this is not really working for me.[00:41:28] Alessio: And David Wong from Adept, you know, they in our episode, he specifically said. We don't want to do a bottom up product. You know, we don't want something that everybody can just use and try because it's really hard to get it to be reliable. So we're seeing a lot of companies doing vertical agents that are narrow for a specific domain, and they're very good at something.[00:41:49] Alessio: Mike Conover, who was at Databricks before, is also a friend of Latentspace. He's doing this new company called BrightWave doing AI agents for financial research, and that's it, you know, and they're doing very well. There are other companies doing it in security, doing it in compliance, doing it in legal.[00:42:08] Alessio: All of these things that like, people, nobody just wakes up and say, Oh, I cannot wait to go on AutoGPD and ask it to do a compliance review of my thing. You know, just not what inspires people. So I think the gap on the developer side has been the more bottom sub hacker mentality is trying to build this like very Generic agents that can do a lot of open ended tasks.[00:42:30] Alessio: And then the more business side of things is like, Hey, If I want to raise my next round, I can not just like sit around the mess, mess around with like super generic stuff. I need to find a use case that really works. And I think that that is worth for, for a lot of folks in parallel, you have a lot of companies doing evals.[00:42:47] Alessio: There are dozens of them that just want to help you measure how good your models are doing. Again, if you build evals, you need to also have a restrained surface area to actually figure out whether or not it's good, right? Because you cannot eval anything on everything under the sun. So that's another category where I've seen from the startup pitches that I've seen, there's a lot of interest in, in the enterprise.[00:43:11] Alessio: It's just like really. Fragmented because the production use cases are just coming like now, you know, there are not a lot of long established ones to, to test against. And so does it, that's kind of on the virtual agents and then the robotic side it's probably been the thing that surprised me the most at NVIDIA GTC, the amount of robots that were there that were just like robots everywhere.[00:43:33] Alessio: Like, both in the keynote and then on the show floor, you would have Boston Dynamics dogs running around. There was, like, this, like fox robot that had, like, a virtual face that, like, talked to you and, like, moved in real time. There were industrial robots. NVIDIA did a big push on their own Omniverse thing, which is, like, this Digital twin of whatever environments you're in that you can use to train the robots agents.[00:43:57] Alessio: So that kind of takes people back to the reinforcement learning days, but yeah, agents, people want them, you know, people want them. I give a talk about the, the rise of the full stack employees and kind of this future, the same way full stack engineers kind of work across the stack. In the future, every employee is going to interact with every part of the organization through agents and AI enabled tooling.[00:44:17] Alessio: This is happening. It just needs to be a lot more narrow than maybe the first approach that we took, which is just put a string in AutoGPT and pray. But yeah, there's a lot of super interesting stuff going on.[00:44:27] swyx: Yeah. Well, he Let's recover a lot of stuff there. I'll separate the robotics piece because I feel like that's so different from the software world.[00:44:34] swyx: But yeah, we do talk to a lot of engineers and you know, that this is our sort of bread and butter. And I do agree that vertical agents have worked out a lot better than the horizontal ones. I think all You know, the point I'll make here is just the reason AutoGPT and maybe AGI, you know, it's in the name, like they were promising AGI.[00:44:53] swyx: But I think people are discovering that you cannot engineer your way to AGI. It has to be done at the model level and all these engineering, prompt engineering hacks on top of it weren't really going to get us there in a meaningful way without much further, you know, improvements in the models. I would say, I'll go so far as to say, even Devin, which is, I would, I think the most advanced agent that we've ever seen, still requires a lot of engineering and still probably falls apart a lot in terms of, like, practical usage.[00:45:22] swyx: Or it's just, Way too slow and expensive for, you know, what it's, what it's promised compared to the video. So yeah, that's, that's what, that's what happened with agents from, from last year. But I, I do, I do see, like, vertical agents being very popular and, and sometimes you, like, I think the word agent might even be overused sometimes.[00:45:38] swyx: Like, people don't really care whether or not you call it an AI agent, right? Like, does it replace boring menial tasks that I do That I might hire a human to do, or that the human who is hired to do it, like, actually doesn't really want to do. And I think there's absolutely ways in sort of a vertical context that you can actually go after very routine tasks that can be scaled out to a lot of, you know, AI assistants.[00:46:01] swyx: So, so yeah, I mean, and I would, I would sort of basically plus one what let's just sit there. I think it's, it's very, very promising and I think more people should work on it, not less. Like there's not enough people. Like, we, like, this should be the, the, the main thrust of the AI engineer is to look out, look for use cases and, and go to a production with them instead of just always working on some AGI promising thing that never arrives.[00:46:21] swyx: I,[00:46:22] NLW: I, I can only add that so I've been fiercely making tutorials behind the scenes around basically everything you can imagine with AI. We've probably done, we've done about 300 tutorials over the last couple of months. And the verticalized anything, right, like this is a solution for your particular job or role, even if it's way less interesting or kind of sexy, it's like so radically more useful to people in terms of intersecting with how, like those are the ways that people are actually.[00:46:50] NLW: Adopting AI in a lot of cases is just a, a, a thing that I do over and over again. By the way, I think that's the same way that even the generalized models are getting adopted. You know, it's like, I use midjourney for lots of stuff, but the main thing I use it for is YouTube thumbnails every day. Like day in, day out, I will always do a YouTube thumbnail, you know, or two with, with Midjourney, right?[00:47:09] NLW: And it's like you can, you can start to extrapolate that across a lot of things and all of a sudden, you know, a AI doesn't. It looks revolutionary because of a million small changes rather than one sort of big dramatic change. And I think that the verticalization of agents is sort of a great example of how that's[00:47:26] swyx: going to play out too.[00:47:28] Adept episode - Screen Multimodality[00:47:28] swyx: So I'll have one caveat here, which is I think that Because multi modal models are now commonplace, like Cloud, Gemini, OpenAI, all very very easily multi modal, Apple's easily multi modal, all this stuff. There is a switch for agents for sort of general desktop browsing that I think people so much for joining us today, and we'll see you in the next video.[00:48:04] swyx: Version of the the agent where they're not specifically taking in text or anything They're just watching your screen just like someone else would and and I'm piloting it by vision And you know in the the episode with David that we'll have dropped by the time that this this airs I think I think that is the promise of adept and that is a promise of what a lot of these sort of desktop agents Are and that is the more general purpose system That could be as big as the browser, the operating system, like, people really want to build that foundational piece of software in AI.[00:48:38] swyx: And I would see, like, the potential there for desktop agents being that, that you can have sort of self driving computers. You know, don't write the horizontal piece out. I just think we took a while to get there.[00:48:48] NLW: What else are you guys seeing that's interesting to you? I'm looking at your notes and I see a ton of categories.[00:48:54] Top Model Research from January Recap[00:48:54] swyx: Yeah so I'll take the next two as like as one category, which is basically alternative architectures, right? The two main things that everyone following AI kind of knows now is, one, the diffusion architecture, and two, the let's just say the, Decoder only transformer architecture that is popularized by GPT.[00:49:12] swyx: You can read, you can look on YouTube for thousands and thousands of tutorials on each of those things. What we are talking about here is what's next, what people are researching, and what could be on the horizon that takes the place of those other two things. So first of all, we'll talk about transformer architectures and then diffusion.[00:49:25] swyx: So transformers the, the two leading candidates are effectively RWKV and the state space models the most recent one of which is Mamba, but there's others like the Stripe, ENA, and the S four H three stuff coming out of hazy research at Stanford. And all of those are non quadratic language models that scale the promise to scale a lot better than the, the traditional transformer.[00:49:47] swyx: That this might be too theoretical for most people right now, but it's, it's gonna be. It's gonna come out in weird ways, where, imagine if like, Right now the talk of the town is that Claude and Gemini have a million tokens of context and like whoa You can put in like, you know, two hours of video now, okay But like what if you put what if we could like throw in, you know, two hundred thousand hours of video?[00:50:09] swyx: Like how does that change your usage of AI? What if you could throw in the entire genetic sequence of a human and like synthesize new drugs. Like, well, how does that change things? Like, we don't know because we haven't had access to this capability being so cheap before. And that's the ultimate promise of these two models.[00:50:28] swyx: They're not there yet but we're seeing very, very good progress. RWKV and Mamba are probably the, like, the two leading examples, both of which are open source that you can try them today and and have a lot of progress there. And the, the, the main thing I'll highlight for audio e KV is that at, at the seven B level, they seem to have beat LAMA two in all benchmarks that matter at the same size for the same amount of training as an open source model.[00:50:51] swyx: So that's exciting. You know, they're there, they're seven B now. They're not at seven tb. We don't know if it'll. And then the other thing is diffusion. Diffusions and transformers are are kind of on the collision course. The original stable diffusion already used transformers in in parts of its architecture.[00:51:06] swyx: It seems that transformers are eating more and more of those layers particularly the sort of VAE layer. So that's, the Diffusion Transformer is what Sora is built on. The guy who wrote the Diffusion Transformer paper, Bill Pebbles, is, Bill Pebbles is the lead tech guy on Sora. So you'll just see a lot more Diffusion Transformer stuff going on.[00:51:25] swyx: But there's, there's more sort of experimentation with diffusion. I'm holding a meetup actually here in San Francisco that's gonna be like the state of diffusion, which I'm pretty excited about. Stability's doing a lot of good work. And if you look at the, the architecture of how they're creating Stable Diffusion 3, Hourglass Diffusion, and the inconsistency models, or SDXL Turbo.[00:51:45] swyx: All of these are, like, very, very interesting innovations on, like, the original idea of what Stable Diffusion was. So if you think that it is expensive to create or slow to create Stable Diffusion or an AI generated art, you are not up to date with the latest models. If you think it is hard to create text and images, you are not up to date with the latest models.[00:52:02] swyx: And people still are kind of far behind. The last piece of which is the wildcard I always kind of hold out, which is text diffusion. So Instead of using autogenerative or autoregressive transformers, can you use text to diffuse? So you can use diffusion models to diffuse and create entire chunks of text all at once instead of token by token.[00:52:22] swyx: And that is something that Midjourney confirmed today, because it was only rumored the past few months. But they confirmed today that they were looking into. So all those things are like very exciting new model architectures that are, Maybe something that we'll, you'll see in production two to three years from now.[00:52:37] swyx: So the couple of the trends[00:52:38] NLW: that I want to just get your takes on, because they're sort of something that, that seems like they're coming up are one sort of these, these wearable, you know, kind of passive AI experiences where they're absorbing a lot of what's going on around you and then, and then kind of bringing things back.[00:52:53] NLW: And then the, the other one that I, that I wanted to see if you guys had thoughts on were sort of this next generation of chip companies. Obviously there's a huge amount of emphasis. On on hardware and silicon and, and, and different ways of doing things, but, y
Ed Klotz is a familiar face around the Acura Grand Prix of Long Beach, after all he's been volunteering with the Committee of 300 for over 40 years! During press day prior to the 2023 event we thought that we'd get an insider's view on what the C300 does and how Ed decided to join and continue with the organization for so many years. He's a man with a heart dedicated to volunteering and enjoying his time doing so. If you happen to run into him during race weekend, please say “Hi” and thank him for his years of service. Enjoy! Note: For more information on C300, please visit: www.committeeof300.com. By Larry Mason Copyright © 2024 Larry Mason
Integrated Systems Europe returns to Barcelona for one of the biggest international shows of the AV industry. From January 30th to February 2nd, attendees will have the chance to see the latest innovations for AV technology. We sit down with VITEC's Senior Vice President of Sales Colin Farquhar about what they are doing to assist in the workflow for integrators, and what they will have in store at booth C300 in Hall 5 during the show. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
The C300 test drive. Write to us with your Car Debates, Car Conclusions, and Topic Tuesdays at everydaydrivertv@gmail.com or everydaydriver.com. Learn more about your ad choices. Visit megaphone.fm/adchoices
Halil finally buys a car - Mercedes Benz C300 Sedan W205. Peter and Halil drive the C Class and give their impressions of the classic Mercedes. Peter and Halil answer a listener's question as to how to make a Mercedes E450 Coupe more comfortable after a recently cracked rim. Follow us on Instagram and email us your questions alltorque@outlook.com.au
Become a member at https://CR.org/joinviaYT to find out more about our tests. On this episode, we recap 2022 and share our personal picks for the best and worst cars we tested this year. We also discuss the biggest trends in the auto industry, including the evolution of electric vehicles, infotainment customization and smartphone apps that enhance the ownership experience. We share what we're most looking forward to in the year ahead. SHOW NOTES: 0:00 - Intro 1:18 - Favorite car tested in 2022 4:54 - Least favorite care tested in 2022 9:49 - Biggest surprise or disappointment 13:40 - Best looking test car of 2022 17:36 - Vehicle most likely to succeed 20:27 - Best/worst interior 22:16 - Best/worst infotainment 24:37 - Favorite trend of the year 27:28 - Cars we wish would come back 29:40 - Car the we wish would go away 33:23 - Most sought after test car among CR staff 34:05 - Which test car spent the most time at the dealer? 35:59 - Looking ahead to 2023 LINKS: Top Picks in Autos for 2022: https://www.consumerreports.org/cars/top-picks-in-autos-2022-a2329638847/ 10 Most Reliable Cars: consumerreports.org/car-reliability-owner-satisfaction/10-most-reliable-cars-a6569295379/ Gift guide for Car Lovers: https://www.consumerreports.org/gift-giving/gift-guide-for-car-lovers-a9537905852/
2022 Year in Review Become a member at https://CR.org/joinviaYT to find out more about our tests. On this episode, we recap 2022 and share our personal picks for the best and worst cars we tested this year. We also discuss the biggest trends in the auto industry, including the evolution of electric vehicles, infotainment customization and smartphone apps that enhance the ownership experience. We share what we're most looking forward to in the year ahead. SHOW NOTES: 0:00 - Intro 1:18 - Favorite car tested in 2022 4:54 - Least favorite care tested in 2022 9:49 - Biggest surprise or disappointment 13:40 - Best looking test car of 2022 17:36 - Vehicle most likely to succeed 20:27 - Best/worst interior 22:16 - Best/worst infotainment 24:37 - Favorite trend of the year 27:28 - Cars we wish would come back 29:40 - Car the we wish would go away 33:23 - Most sought after test car among CR staff 34:05 - Which test car spent the most time at the dealer? 35:59 - Looking ahead to 2023 LINKS: Top Picks in Autos for 2022: https://www.consumerreports.org/cars/top-picks-in-autos-2022-a2329638847/ 10 Most Reliable Cars: consumerreports.org/car-reliability-owner-satisfaction/10-most-reliable-cars-a6569295379/ Gift guide for Car Lovers: https://www.consumerreports.org/gift-giving/gift-guide-for-car-lovers-a9537905852/
2022 Year in Review Become a member at https://CR.org/joinviaYT to find out more about our tests. On this episode, we recap 2022 and share our personal picks for the best and worst cars we tested this year. We also discuss the biggest trends in the auto industry, including the evolution of electric vehicles, infotainment customization and smartphone apps that enhance the ownership experience. We share what we're most looking forward to in the year ahead. SHOW NOTES: 0:00 - Intro 1:18 - Favorite car tested in 2022 4:54 - Least favorite care tested in 2022 9:49 - Biggest surprise or disappointment 13:40 - Best looking test car of 2022 17:36 - Vehicle most likely to succeed 20:27 - Best/worst interior 22:16 - Best/worst infotainment 24:37 - Favorite trend of the year 27:28 - Cars we wish would come back 29:40 - Car the we wish would go away 33:23 - Most sought after test car among CR staff 34:05 - Which test car spent the most time at the dealer? 35:59 - Looking ahead to 2023 LINKS: Top Picks in Autos for 2022: https://www.consumerreports.org/cars/top-picks-in-autos-2022-a2329638847/ 10 Most Reliable Cars: consumerreports.org/car-reliability-owner-satisfaction/10-most-reliable-cars-a6569295379/ Gift guide for Car Lovers: https://www.consumerreports.org/gift-giving/gift-guide-for-car-lovers-a9537905852/
One Mercedes-Benz that's had extraordinary success in this country is the C-Class sedan. Arriving this year in its fifth generation the C-Class has achievedover 10.5 million sales globally. Some years back it was one of our top sellingsedans although today the appeal of SUV's has dampened its sales. Pricing toohas jumped considerably not helped by rising material costs and transportationlogistics. The entry C200 rose $12,000 or 18 percent to $78,900, I'm behind thewheel of the C300 today – now 20 percent dearer at $90,400. However, this latestC-Class has all-new underpinnings linked to the S-Class flagship, a huge amountof new technology with a new generation mild hybrid four-cylinder drive- trainand a more accommodating interior. Visually, it exudes class, now on a 25mmlonger wheelbase with a wider track with more elbow room. The C300 now with a2.0-litre turbo with mild-hybrid technology adding an extra 15kW and 200Nm oftorque, the twin scroll turbo adding 20kW of over boost linked to a nine-speedautomatic. The new dash and controls are a highlight, especially the 11.9-inchinfotainment touchscreen, set low and very user friendly. Yes, the new C-Classmay be much dearer, but this is a totally different car to its predecessor. Drivedetails next segment. I'm David Berthon.See omnystudio.com/listener for privacy information.
Driving Mercedes-Benz fifth generation C-Class C300 sedan today – $15,100dearer to the old series at $90,400 but this is a totally new car with new high-grade underpinnings and technology that really sets it apart. Built for our marketin South Africa it sits on a 25mm longer wheelbase, offers more rear knee andshoulder room in a body that now features the previously optional AMG lineexterior and interior package and it's all class. A large floating infotainmentscreen set low is a real high point. Over the entry C200 the C300 offers a larger2.0-litre turbo four-cylinder engine with mild hybrid technology linked to a nine-speed automatic plus a stack more driver assist technology. Five different drivemodes, a fully adaptive suspension on 19-inch alloys with 35-series tyres thatprovide a somewhat taut yet acceptable ride. Two disappointments, the lack of aspare wheel of any sort, with our current potholed roads always a concern whileroad noise on some course surfaces can get a little raucous. Mercedes-Benzmake the point the C300 is skewed for refined comfort over sports performance,and it fits this bill admirably. Yes, it now costs significantly more but newtechnology takes it to a new level. Economy; 7.5L/100. Warranty: five-years/unlimited km. I'm David Berthon.See omnystudio.com/listener for privacy information.
On this episode we take a look back at the Canon C300 Mark II. Is it still worth buying in 2022? Show theme by Christopher Gillard Hosted by Jason Godbey
The 2022 Mercedes-Benz C-Class is a sporty, driver-focused luxury sedan, relying on its aggressive, low-slung exterior and improved powertrain to stand out against rivals like the Audi A4, BMW 3 Series, and Genesis G70. We share our first impressions of our C300 test car, discussing its handling, redesigned interior, problematic controls, and why you might want to skip the AMG sport suspension option. We also share insight into CR's testing protocols, and why we might sometimes disagree with car evaluations from other mainstream publications. ----------------------------------- Have a question for our experts? Leave a comment on this episode, or reach out to us directly! From your iOS device, iMessage us at TalkingCars@icloud.com to send a photo, video, or text directly to the Talking Cars team! We love to feature our viewers on the show, so submit video questions at https://www.consumerreports.org/cars-talking-cars/ Subscribe to Talking Cars on Spotify: https://open.spotify.com/show/4Jr8wJRJyN9v8T6LC1fQQ6 SHOW NOTES ----------------------------------- 00:00 - Introduction 00:14 - First Impressions: 2022 Mercedes-Benz C300 18:38 - Question: Why are there discrepancies in review results between CR and other mainstream publications? ---------------------------------- New 2022 Mercedes-Benz C-Class Is a Standout, With a Few Drawbacks https://www.consumerreports.org/cars/sedans/2022-mercedes-benz-c-class-review-a1057221647/ 2022 Mercedes-Benz C-Class https://www.consumerreports.org/cars/mercedes-benz/c-class/2022/overview/ Guide to Car Safety https://www.consumerreports.org/cars-guide-to-car-safety/ ----------------------------------- To find out how products scored in CR's rigorous lab tests—and to access our comprehensive ratings for items you use every day—become a member. CR is a mission-driven, independent, nonprofit organization. Join now at https://www.CR.org/join Check out https://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez Follow Us on Social: TikTok: https://bit.ly/3BVzGR9 Instagram: http://bit.ly/1I49Bzo Facebook: http://on.fb.me/1IQ2w5q Twitter: http://bit.ly/1Yf5Fh2 Pinterest: http://bit.ly/1P37mM9
The 2022 Mercedes-Benz C-Class is a sporty, driver-focused luxury sedan, relying on its aggressive, low-slung exterior and improved powertrain to stand out against rivals like the Audi A4, BMW 3 Series, and Genesis G70. We share our first impressions of our C300 test car, discussing its handling, redesigned interior, problematic controls, and why you might want to skip the AMG sport suspension option. We also share insight into CR's testing protocols, and why we might sometimes disagree with car evaluations from other mainstream publications. ----------------------------------- Have a question for our experts? Leave a comment on this episode, or reach out to us directly! From your iOS device, iMessage us at TalkingCars@icloud.com to send a photo, video, or text directly to the Talking Cars team! We love to feature our viewers on the show, so submit video questions at https://www.consumerreports.org/cars-talking-cars/ Subscribe to Talking Cars on Spotify: https://open.spotify.com/show/4Jr8wJRJyN9v8T6LC1fQQ6 SHOW NOTES ----------------------------------- 00:00 - Introduction 00:14 - First Impressions: 2022 Mercedes-Benz C300 18:38 - Question: Why are there discrepancies in review results between CR and other mainstream publications? ---------------------------------- New 2022 Mercedes-Benz C-Class Is a Standout, With a Few Drawbacks https://www.consumerreports.org/cars/sedans/2022-mercedes-benz-c-class-review-a1057221647/ 2022 Mercedes-Benz C-Class https://www.consumerreports.org/cars/mercedes-benz/c-class/2022/overview/ Guide to Car Safety https://www.consumerreports.org/cars-guide-to-car-safety/ ----------------------------------- To find out how products scored in CR's rigorous lab tests—and to access our comprehensive ratings for items you use every day—become a member. CR is a mission-driven, independent, nonprofit organization. Join now at https://www.CR.org/join Check out https://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez Follow Us on Social: TikTok: https://bit.ly/3BVzGR9 Instagram: http://bit.ly/1I49Bzo Facebook: http://on.fb.me/1IQ2w5q Twitter: http://bit.ly/1Yf5Fh2 Pinterest: http://bit.ly/1P37mM9
The 2022 Mercedes-Benz C-Class is a sporty, driver-focused luxury sedan, relying on its aggressive, low-slung exterior and improved powertrain to stand out against rivals like the Audi A4, BMW 3 Series, and Genesis G70. We share our first impressions of our C300 test car, discussing its handling, redesigned interior, problematic controls, and why you might want to skip the AMG sport suspension option. We also share insight into CR's testing protocols, and why we might sometimes disagree with car evaluations from other mainstream publications. ----------------------------------- Have a question for our experts? Leave a comment on this episode, or reach out to us directly! From your iOS device, iMessage us at TalkingCars@icloud.com to send a photo, video, or text directly to the Talking Cars team! We love to feature our viewers on the show, so submit video questions at https://www.consumerreports.org/cars-talking-cars/ Subscribe to Talking Cars on Spotify: https://open.spotify.com/show/4Jr8wJRJyN9v8T6LC1fQQ6 SHOW NOTES ----------------------------------- 00:00 - Introduction 00:14 - First Impressions: 2022 Mercedes-Benz C300 18:38 - Question: Why are there discrepancies in review results between CR and other mainstream publications? ---------------------------------- New 2022 Mercedes-Benz C-Class Is a Standout, With a Few Drawbacks https://www.consumerreports.org/cars/sedans/2022-mercedes-benz-c-class-review-a1057221647/ 2022 Mercedes-Benz C-Class https://www.consumerreports.org/cars/mercedes-benz/c-class/2022/overview/ Guide to Car Safety https://www.consumerreports.org/cars-guide-to-car-safety/ ----------------------------------- To find out how products scored in CR's rigorous lab tests—and to access our comprehensive ratings for items you use every day—become a member. CR is a mission-driven, independent, nonprofit organization. Join now at https://www.CR.org/join Check out https://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez Follow Us on Social: TikTok: https://bit.ly/3BVzGR9 Instagram: http://bit.ly/1I49Bzo Facebook: http://on.fb.me/1IQ2w5q Twitter: http://bit.ly/1Yf5Fh2 Pinterest: http://bit.ly/1P37mM9
Les habitués de la marque à l'étoile ne seront pas déstabilisés par le style de cette génération W206. À Stuttgart comme d'ailleurs presque partout désormais, les évolutions esthétiques entre les générations de véhicules se font par petites touches. Chez Mercedes-Benz on y rajoute la notion d'identité de marque et un fort effet poupées russes entre les Classe S, E, voire A, et maintenant C. Ça n'est pas forcément un mal car il n'est absolument pas déplaisant de retrouver sur sa classe C des gimmicks ou des formes provenant des grandes sœurs, l'évocation de leur côté luxueux en prime.
El nuevo Mercedes-Benz C300 es 2.5 pulgadas más largo y una fracción de pulgada más ancho, pero su espacio interior es abundantemente más amplio.
網路上最近常流傳著「開C300加油加300」這句話，或許是嘲諷，但某種程度也代表著C300確實是老少咸宜啊！除了C300外，台中打人打到重傷的社會事件鬧得沸沸揚揚，也讓Maserati Quattroporte討論度頓時昇高不少，讓該品牌在許多網友口中成了C300升級首選。在此次事件中連千毅的建議第一步先鎖車、不要下車；第二步長按喇叭，簡單的動作就能自保，很值得大大們參考！
I read from color to colored. The word of the episode is "colorblind". Featured in a Top 10 Dictionary Podcasts list! https://blog.feedspot.com/dictionary_podcasts/ Backwards Talking on YouTube: https://www.youtube.com/playlist?list=PLmIujMwEDbgZUexyR90jaTEEVmAYcCzuq dictionarypod@gmail.com https://www.facebook.com/thedictionarypod/ https://twitter.com/dictionarypod https://www.instagram.com/dictionarypod/ https://www.patreon.com/spejampar 917-727-5757
ڤلوق ايش الافضل مرسيدس C300 او C200 ديزل - مع المهندس يوسف القحطانيللانتساب بالقناة والحصول على معلومات حصرية Join this channel to get access to perks:https://www.youtube.com/channel/UCWhWV5FcGYb3ZrCOHGDCigw/joinلدعم القناة والمشاركة بمحتواها وللابتعاد عن الاعلانات المزعجة اضغط على الروابطhttps://www.patreon.com/yousefshowshttps://www.paypal.me/yousefshowsFacebook: https://www.facebook.com/YousefShowsTwitter: https://twitter.com/YousefShowsLinkedin: https://kw.linkedin.com/in/yousefalgahtaniInstagram: https://www.instagram.com/yousefshowsالموقع | Websitehttp://www.yousefshow.com/http://www.almeena58.com/Support the show (https://www.patreon.com/yousefshows)
100萬上下的預算可以買到配備滿點的國產車、或平價品牌的進口車，可是你果想享受豪華品牌中古車帶來不一樣的感受，站在中古車老司機黃總的角度來看，哪些是他比較推薦的車款？另外，Hybrid油電混合動力中古車購入時是否要更換電池？哇，這可是一筆不小的費用，事實是這樣嗎？來聽黃總怎麼說？
C300.BatChanhDao-T19-Buoc7-ChanhNiem
Techstination, your destination for gadgets and gear. I’m Fred Fishkin. AnkerWork is the name of a new product line from Anker…..and first out of the gate is the PowerConf C300 Web Cam. It features 1080p resolution….dual microphones and does a great job in low light settings as well. And...
Techstination interview: Working from home? AnkerWork brings new C300 webcam & more
In April of 2020 Canon announced the C300 Mk3. Using the same form factor as the C500 Mk 2, the big change is that the camera uses a Super 35mm sized sensor, not Full Frame.I am joined by two owner operators and filmmakers, Dave Young and Peter Demetris to discuss the camera as well as its new sibling the C70.Join in the post podcast debate at https://www.facebook.com/groups/706638870181022
※ 本文章发布于订阅号：百车全说，订阅号阅读更加方便，欢迎关注上个星期，今年最重磅的车型之一，全新奔驰C级（W206）终于发布了。可能真正去关注发布直播的人并不多，但在发布完的第二天，我微信里十几个与车有关的群都在聊这个车，微信切出去一会儿，那就是上百条未读，买得起的、买不起的、喜欢的、吐槽的……所有人都在聊这车，一款车能造成这么轰动的效应实在难得一见。看到新C级的时候，仿佛又有了当年第一次看到这代C级（W205）的那种惊艳感，满脑子都是香。奔驰在豪华和精致方面，真的让人上头，奔驰的标也真的很值钱，不服不行。今天聊的新C级，在欧洲只是亮相，还没有正式发售，国内应该是下半年上市。这车确实有很多亮点，但是它也并不是完美的，特别是大家看到的内饰，低配大概率不会标配这两块超大屏。还有现在流传出来的各种新奇功能，如果按照这个标准去买，怕是得准备将近50万。今天我们就来好好扒一扒新C级的优缺点，当然还包括与现款有什么差别，以及大家最关心的，与宝马3系、奥迪A4L以及同级别、同价位二线豪华品牌车型的对比。走大哥的路，让大哥无路可走之前全新S级发布的时候，那台车处于一片争议和嘲讽之中，但套用相同设计语言的全新C级发布之后，网上的风评还真的不差，反正C级只要设计成小S级就真香的定律，从上代C级和S级开始就已经被验证了。这次新C级发布了三厢版和旅行版，旅行版我们就先不聊了，不过这次发布会上有一个小插曲，公布新C级旅行版时大屏幕上显示的是“The new C-Class Wagon”，而奔驰一般都用“estate”而非“wagon”去表示自家旅行车，estate在英文中有庄园的含义，听起来更像是有钱人享受生活的大玩具，而wagon纯粹就是货车车厢的意思，就像穷苦人民的工具车一样，可是，奔驰官网上却依然用的还是“estate”，不知道这算不算是一次乌龙事件。回到全新的C级三厢版上，这次标轴版本的长宽高是4751/1820/1438mm，轴距是2865mm，相比现款海外标轴，在长、宽和轴距上分别提升了65mm、10mm和25mm，但是高度降低了9mm。总结成一句话就是更长更宽更扁了，其实这样的车长已经非常接近现款国产长轴4784mm的数据，未来加长之后（消息称轴距加长89mm）大概率会超过BBA同级别中最长的3系长轴（4829mm)。所以，对于未来国产C级长轴版本的空间可以期待一下，会不会达到3系长轴版本的水平？这次新C级的整体轮廓就像是新S级的等比例缩小，采用一样的带有260万像素和投影功能的LED数字大灯，以及颇具争议性的“三角眼”尾灯，此外就是新S级的数字大灯了点亮后中间有3个亮点，中期改款的E级变成了2个点，而新C级只剩1个点，当然，这个大灯在国内大概率会成为选配或者顶配才有的东西。在内饰部分，除了空调出风口以外，基本照搬新S级，左边是12.3英寸全液晶仪表，右边是11.9英寸OLED触控屏，我大概数了一下，新C级中控区域的实体按键一只手就能数的过来，基本上都集中在中控屏幕的下方。但是，先不要激动，记不记得A180L上被阉割成两块老式手机一样大的双联屏，在国产后的新C级低配车型上，液晶仪表和中控屏幕大概率也会缩水。总之，新C级的设计可以总结成一句话：走大哥的路，让大哥无路可走。奔驰轿车线每一轮的更新换代，基本都是从S级开始，随后延伸到E级和C级，这样做的好处，是让S级车主率先享用全新的设计语言，玩腻了扔给C级和E级车主，并且C级和E级车主不会有任何怨言，反而会“感激流涕”，自己的车就成了“小S级”，有一种花小钱办大事的舒爽。但是，我仍然怀念那个设计师不会偷懒的年代，每款车都有自己的专属设计，诞生了蝴蝶奔、四眼E等等经典设计，而现在的所谓家族化设计更像是设计师偷懒的结果。反观这次的新S级，那台车的身上有太多的元素在CLS和CLA、以及A级三厢和改款E级上出现过了，并且内饰的全面科技化也放弃了原先坚持了数十年的“纸醉金迷”般的豪华调性，这是一场豪赌。不过，我觉得正是新S级如此大胆，才成就了新C级的设计，这套语言相比新S级，更像是为了新C级量身打造的，它的定位和人群不需要出格的豪华，看起来高级感、再来点新意就可以了，如果新C级能让人遗忘掉现款的设计，就算没上市就已经成功了一半，以至于我们的兔子叕叕叕叕想换车了，只不过他想换的是C级旅行版，我记得他说了这么一句话：“我这个对奔驰从来不感兴趣的人，这次也被‘套头'了（南京话，表示深陷其中）”。再一个比较劲爆的消息，那就是这次新C级取消了立标车型。为什么要取消立标车型，我个人猜测有两个原因：第一， 是奔驰希望更加明确旗下的车型定位，以及区分相对应的消费人群，所以现在S级只有立标，毕竟S级车主的商务需求更多；E级有立标和大标，E级消费人群多样化，有商务的也有家用的；而C级只有大标，你在路上见过现款立标C级吗，之前说买黑色A4L和白色A6L的都是狠人，但我觉得买立标C级的人更狠。第二， 这次新C级的风格明显更偏运动化，比如之前提到更矮的车身，官方宣传片中的样车还是哑光灰色，要知道这在之前可是AMG的专属颜色，让我非常意外的是，新C级的配置中居然出现了新S级上的“后轮转向”，而且被当作主要买点宣传。后轮转向是什么？这是一种后轮小角度转动的技术，低速下与前轮反方向转动，减小转弯半径，高速下变为同方向转动，提升过弯时的稳定性。这玩意儿放在S级这样的大车上，使用场景更多是调头和停车，虽说后轮的转角也许只有几度，但可以将大型轿车的转弯半径缩小至中型轿车的水平。除了大车，一般只有跑车或者性能车才会使用，比如保时捷的911，纯粹为了提升操控极限。这次放在了新C级上面，那么是不是可以猜测一下，在标榜运动的3系都全面舒适化的今天，C级反而希望通过增强运动性能去抢夺原属于3系的粉丝？除了后轮转向和数字大灯，新C级也是不遗余力地去蹭新S级的配置，比如可以点外卖的第二代MBUX系统、新S级刚刚用上的AR-HUD增强现实的抬头显示……先泼一盆冷水，有些东西看看就好，尤其是后轮转向，国产后大概率是顶配中的顶配才有资格享用，参考一下现款顶配的价格，想要这些东西全部配齐，那你面对的很可能是一台指导价50万的C级。没有新意的全系电气化当然，全新C级的重点不只是内饰和外观的改变，这台车的动力总成也采用了M254发动机+48V电机组成的ISG系统，相比于之前的M264发动机+48V电机的BSG系统，现在的ISG系统把电机集成在发动机和变速箱之间，可以直接输出动力和扭矩，而不是像之前那样需要通过皮带进行动力传输。这就相当于过去你如果想把一只整猪放进冰箱，需要先把肉分割开，然后归类放进去，现在则变成了开冰箱门、放进去、关冰箱门，就这么直接。当然，我们作为消费者其实不需要去了解这个ISG系统到底是什么东西，我们需要知道的是，这套动力系统从动力输出参数、响应速度、平顺性、经济性等方面，都超越了奔驰自家之前的BSG系统。其中，1.5T的M254的ISG电机有15千瓦的输出功率和200牛米的扭矩输出，这15千瓦和200牛米是直接可以从启动开始就输出到轮上（严格来说是发动机点火之前），所以它的动力响应可以说超越了很多传统的燃油车，应该是只比电动车的动力响应差一点。而同期发售的插混版本的全新C级，无论其电机架构形式是P1还是P2的，由于ISG系统的存在，从动力层面看，都可以做到类似于本田IMMD那样可以串联和并联的系统，按照奔驰官方现在给出的100公里纯电续航，加上PHEV系统天生具有的节能属性，混动版本的全新C级有可能续航里程超过1000公里。从我的角度来看，奔驰能把全新C级进行全系电气化，这个操作还是很大胆的，特别是连C63 AMG这样经典的性能车，也要变成2.0T+48V的动力配置，这一点是目前奥迪和宝马都不敢做的事，我觉得可以说明两件事：第一， 奔驰对自家的小排量涡轮技术很有信心，这种信心一方面是作为大品牌的自信，相信只有奔驰大标+AMG仍然可以hold住百万的定价；另一方面现在新款A45和A45S上搭载的M139 2.0T发动机，其实力确实很强，主要原因在于近几年奔驰赛车技术大规模下放，所以有能力通过小排量发动机去取代6缸、8缸。退一步讲，现在不换也不行，大排量现在在全球各国都是被打压的状态。我们都知道，上一代的奔驰基本上是部分中低配车型采用混动或者是小排量涡轮，比如被人吐槽的GLB配1.33T发动机、C级和E级配1.5T+48V……从技术上来说，之前奔驰的小排量发动机技术确实不够成熟，加上国产之后各种阉割和减配，北奔的装配工艺也有点感人，进而给人一种德不配位，花钱就是为了买标的感觉，当然人们对于车型排量的固有认知，也是不可忽略的因素。第二， 以目前的形式来看，BBA三家都将大面积采用以轻混为主的动力配置，同时并不完全押宝在电动车上，而是依然将重点押在燃油为主的轻混车型上，当然这其中的原因，一方面是如果全面铺开电动车，那就是自己革自己的命，因为在电动车领域里，传统品牌大多数情况下并不如新品牌好使，对于这种老牌汽车厂家来说，反而容易得不偿失；另一方面则是PHEV类车型在我国和欧洲都算是算新能源车，只是国内目前对于PHEV插混车型的政策正在不断收紧，由于这种轻混车型由于不受电池成本的限制，又能够享受政策红利，所以对于厂家来说，他们在降低车辆油耗的同时，能有更强的议价权和控制成本的能力，还可以去满足更高的排放标准，并且有可能通过混动系统去打造出更强的动力。绝对是当下的首选方案。但是，当我们把奔驰这套全新的电气化动力系统扒开来看，你会发现它的本质其实就是通过“省油+长续航”和“高性能”这两条腿来走路，这一点是不是有些似曾相识的感觉？没错，这正是比亚迪已经做了很久的事情，比亚迪不就是“DM-P系统”走高性能路线，然后“DM-i系统”走省油+长续航路线么，所以奔驰这个玩法真的有些落后了，至少从我自己角度来看，确实没什么新意。而奔驰作为一个已经诞生一百多年的老同志，明显在看清未来趋势方面，还没有比亚迪高瞻远瞩。但是，奔驰这样的汽车界大佬，这一次显然自认为是有备而来，只是汽车市场里并不只有奔驰一家，别的厂家会不会进行“偷袭”也不好说。所以，好戏肯定还在后头。奔驰C级的对手们依照目前的市场情况来看，大多数去选择奔驰C级的客户，主要对比的其实就是奥迪A4L和宝马3系，还有一部分则是会去对比凯迪拉克的CT5、雷克萨斯ES、沃尔沃S60等等。那么，这些差不多价位的车，和奔驰新C级之间应该怎么选呢？我们先聊聊两个奔驰C级的死对头，也就是宝马3系和奥迪A4L。我们都知道，宝马3系是这三台车当中最早完成换代的车型，从过去的F3X变成了现在的G2X，这一代的宝马3系拥有BBA三家当中最长的轴距，也有相对而言更好的乘坐空间，这台车其实从上市到现在，一路价格都非常坚挺，甚至坚挺的有点不像宝马了，市场热度也是很高。撇开价格不谈，现在的宝马3系其实已经不像过去那样追求运动性，反而是逐步的在向舒适化靠拢，现在的宝马3系，不仅原厂全系减配了防倾杆，而且原厂避震也很软，你在开的时候会明显感觉车辆指向性虽然很好，悬架响应也很快，但软趴趴的悬挂，在劈弯的时候很难给你信心，以至于有一种方向盘告诉你可以，但是车身动态反馈告诉你慢一点的感觉。除此之外，2020年9月以后出厂的宝马所有车型，都进行了ECU加密，所以无法通过刷写ECU的方式进行动力升级，并且2020年11月以后的325Li车型，用的发动机改成了和320Li一样的B48C版本，要知道之前的325Li一直用的是B48D机头，和330的发动机一样。简单的说，你可以理解325以前是330的发动机降低了功率，现在是320的发动机调高了功率。有人问，这有什么差别呢，差别在于换装B48C之后，发动机的散热系统发生改变，B48C的散热是风冷+水冷，B48D是两个水箱散热，并且发动机的排气歧管进行了集成，整体性能相比B48D会弱一些……以至于网上都流传一个段子，说“E90是E46的后代，F30是很像奔驰的宝马，G20/G28则是宝马找奥迪代工出来的奔驰”，你品，你细品。而奥迪A4L这台车现在还没有换代，底盘依旧是代号B9的那一套，2016年上市，奥迪换代周期在6-7年，上次B8到B9的换代就经历了7年，所以下次B10换代估计在2022年-2023年。但是现款在售的A4L顶配45TFSI Quattro的运动性非常强，不仅配备了有别于普通A4L的运动底盘，并且在整体性能和硬件配置上也是压着宝马330和奔驰C300在打，加上后续的车辆改装潜力非常高，换言之就是如果不服，那就崩哭你。奥迪A4L的问题在于，买奥迪A4L的大多数人还是选择40TFSI版本的车辆，而A4L时尚版的车型（不管是35TFSI时尚动感型，还是40TFSI时尚动感/致雅型）都没有后排独立空调，也没有后排独立的空调出风口，这一点在日常使用的时候确实差点意思，不过价格合适啊，30万不到就可以落地。而上到40TFSI的豪华型，基本上该有的配置都有了，也就比时尚版贵2万左右，唯一需要纠结的就是选择前驱车型还是四驱车型，如果选择四驱，就再多掏2万。可能有些人说，我买A4L不是为了便宜，而是觉得现在的A4L反而是34C里面操控性最好的车型，所以我决定再等2年，等B10上市再入手。我劝各位早点打消这种想法，因为基本确定，后期B10车型要用MQB横置模块化平台替换掉现在的MLB Evo纵置模块化平台，换言之，下一代的操控性大概率不如现款，但是空间和舒适度应该会提升不少，到时候再配上三块屏的虚拟座舱，照样可以咔咔的收割钱包。如果用全新奔驰C级来和目前在售的宝马3系、奥迪A4L进行对比，其实就是打了一个时间差，因为宝马3系已经进行过大改款，近两年也不会有什么大动作，而奥迪A4L则是中期小改款刚结束没多久，前面我也说了，B10换代车型至少要在2022-2023年才能上市。所以，今年的全新奔驰C级只要不作死、不减配、该给优惠就给优惠，那销量肯定是蹭蹭蹭的往上涨，至于什么1.5T发动机动力弱，相信我，在小S面前，这些根本不是问题，你给这车配个1.3T发动机，价格再便宜2万，很多人也愿意买。撇开BBA三家不谈，目前市场上还有一个对手就是凯迪拉克CT5。凯迪拉克CT5最近销量也是节节攀升，虽然一直以来都被人调侃，认为是买不起BBA的才去选择凯迪拉克，这里我要帮他们说句公道话。不是买不起BBA，是买不起BB，也就是奔驰和宝马。奥迪不能算进去，因为奥迪A4L现在优惠后的价格，实际上与CT5差不多。CT5目前优惠5-5.5万，28T豪华落地28万出头。A4L 40时尚落地30万不到，其实是差不多的。能选择CT5的客户，绝对不是因为这一点价格差，更多是对凯迪拉克的真爱。凯迪拉克CT5也是最近才上了2021款车型，主要是在内饰和车机方面进行了一些小的提升。凯迪拉克CT5这台车相比BBA而言，其本身最大的优势主要在于性价比，能让你用更少的钱买到更好的配置，并且这台车的发动机不像BBA那样分高低功率，全系都是237马力/350牛米的发动机，只是百公里加速7.3s的成绩总让人觉得差点意思。但是，凯迪拉克CT5也有一些小问题，比如这台车的内饰相比于BBA而言确实差点意思，这一点不仅限于CT5，凯迪拉克全系车型（除了凯雷德）其实都有这个问题。再一个问题就是这台车的FOTA系统，这个问题我一直都很诟病，我总觉得是凯迪拉克用力过猛，而且还把力气用错了地方，因为大多数去选择凯迪拉克的车主，其实追求的就是运动性，现在这个237马力显然是不够格的，毕竟之前老款ATS-L都有279马力，加上凯迪拉克现在一个FOTA搞上去，使得现在的CT5无法像别的车型那样通过刷写ECU进行动力升级，只能默默地等待官方推送动力升级程序，但是官方到现在也没有动静；最后的问题就是配置不合理，当然这个配置指的不是舒适型配置，而是硬件配置，要知道过去的ATS-L全系标配前轮BREMBO四活塞刹车，但是到了现在的CT5反而变成了顶配才有，所以我就在想，即使是无法标配这些性能件，是否能够开放选装，该多少钱就多少钱呗。最后，奔驰C级其实还有一个对手，那就是雷克萨斯ES，有人说，不对啊，IS才是对标34C的车型，别急，听我说。目前IS新款还没上市，国内没有IS可买，但是ES200这款车的定价29-30.9万，一台进口的雷克萨斯ES，理论上车型定位还高于34C，裸车价不打折也就是3系、A4L、C级的价位，还送4年10万公里免费保修保养，你觉得吸不吸引人？雷克萨斯ES这台车的路数其实和凯迪拉克CT6、沃尔沃S90差不多，都是越级来打B级车市场，同时和C级车产生竞争关系，只不过凯迪拉克CT6和沃尔沃S90目前的优惠幅度非常大，而雷克萨斯ES则没有优惠，有不少地方直到现在都还是要加价提车，但是胜在定价不高（官方指导价29-40.9万）。假如真的有客户从ES200开始看起，说不定还会被混动洗脑，最终买了ES300h也说不定，到了豪华品牌混动领域，雷克萨斯几乎通杀四方，并且同等价位中雷克萨斯在主被动安全配置上给到的配置也算可以。但是，雷克萨斯ES这台车一直以来就像榴莲一样，两极分化非常严重，喜欢的人就特别喜欢，觉得舒适度好、保值率高、后期养护省心，但是不喜欢的人就嗤之以鼻，觉得就是个老年代步车，中控土了吧唧，车机难用的要命，最关键的是动力是个弱鸡。取消平民车？奔驰希望自己成为奢侈品之前在网上一直有传言，说奔驰希望自己成为奢侈品，把自己打造成汽车中的爱马仕。我不知道奔驰是怎么理解“奢侈品”这三个字的，因为在我看来，车和包、衣服、鞋子都不一样，价值基准也不一样，就算是几十万的奔驰车，其本质依然具备极强的工具属性，只有那些超豪车和超跑，才算是真正意义上的奢侈品，而奢侈品包包的价值更多体现的是社交属性，没有人在意一个爱马仕可以装多少东西。传言中，奔驰的做法是取消C级以下的所有车型，也就是说未来奔驰将没有30万以内的车，假如奔驰真的要这么做，我先不谈能不能成功，但也许能让奔驰离自己想象中的“奢侈品”更进一步。当然，奔驰也有自己的苦衷，毕竟等车辆电池和充电技术成熟之后，电动车的成本会进一步的大幅度降低（看看每年都在降价的特斯拉），而传统燃油车企在30万以内的市场去和电动车拼性价比，结局大概率是失败，这个问题在目前逐渐价格下沉的豪华品牌上会尤其明显，所以要么拼不过就加入电动大军，要么干脆放弃这部分市场打出价值差异化，奔驰的奢侈品路线倒是为所有豪华品牌提供了一个破局的思路。这景象像极了当年钟表业的石英危机，瑞士的机械手表在引以为豪的可靠和精准上，被来自日本的精工石英表打的毫无还手之力，要不是后来瑞士钟表业找到出路，将机械手表与奢侈品的概念牢牢捆绑，现在至少有一半的瑞士钟表品牌已经消失。但是活下来的，妥妥的都是奢侈品。这次的全新C级或许多少也受到了这种理念的影响，整台车看上去非常精致，现在这个年代不缺家境优渥的人，尤其在这两年疫情导致的通货膨胀基础上，手里有些资产的人反而越发有钱，今年南京的奢侈品店门口，排队的人比往年都多，而且每家店出来的人手里都提着大包小包。也许，看着更精致的奔驰，才能满足这些富裕阶级的使用需求和社交需求，只是这样一来，我们这样的普通人也许会离奔驰越来越远。你说对吗？*图片源自网络音频图文更新在订阅号： 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※ 本文章发布于订阅号：百车全说，订阅号阅读更加方便，欢迎关注上个星期，今年最重磅的车型之一，全新奔驰C级（W206）终于发布了。可能真正去关注发布直播的人并不多，但在发布完的第二天，我微信里十几个与车有关的群都在聊这个车，微信切出去一会儿，那就是上百条未读，买得起的、买不起的、喜欢的、吐槽的……所有人都在聊这车，一款车能造成这么轰动的效应实在难得一见。看到新C级的时候，仿佛又有了当年第一次看到这代C级（W205）的那种惊艳感，满脑子都是香。奔驰在豪华和精致方面，真的让人上头，奔驰的标也真的很值钱，不服不行。今天聊的新C级，在欧洲只是亮相，还没有正式发售，国内应该是下半年上市。这车确实有很多亮点，但是它也并不是完美的，特别是大家看到的内饰，低配大概率不会标配这两块超大屏。还有现在流传出来的各种新奇功能，如果按照这个标准去买，怕是得准备将近50万。今天我们就来好好扒一扒新C级的优缺点，当然还包括与现款有什么差别，以及大家最关心的，与宝马3系、奥迪A4L以及同级别、同价位二线豪华品牌车型的对比。走大哥的路，让大哥无路可走之前全新S级发布的时候，那台车处于一片争议和嘲讽之中，但套用相同设计语言的全新C级发布之后，网上的风评还真的不差，反正C级只要设计成小S级就真香的定律，从上代C级和S级开始就已经被验证了。这次新C级发布了三厢版和旅行版，旅行版我们就先不聊了，不过这次发布会上有一个小插曲，公布新C级旅行版时大屏幕上显示的是“The new C-Class Wagon”，而奔驰一般都用“estate”而非“wagon”去表示自家旅行车，estate在英文中有庄园的含义，听起来更像是有钱人享受生活的大玩具，而wagon纯粹就是货车车厢的意思，就像穷苦人民的工具车一样，可是，奔驰官网上却依然用的还是“estate”，不知道这算不算是一次乌龙事件。回到全新的C级三厢版上，这次标轴版本的长宽高是4751/1820/1438mm，轴距是2865mm，相比现款海外标轴，在长、宽和轴距上分别提升了65mm、10mm和25mm，但是高度降低了9mm。总结成一句话就是更长更宽更扁了，其实这样的车长已经非常接近现款国产长轴4784mm的数据，未来加长之后（消息称轴距加长89mm）大概率会超过BBA同级别中最长的3系长轴（4829mm)。所以，对于未来国产C级长轴版本的空间可以期待一下，会不会达到3系长轴版本的水平？这次新C级的整体轮廓就像是新S级的等比例缩小，采用一样的带有260万像素和投影功能的LED数字大灯，以及颇具争议性的“三角眼”尾灯，此外就是新S级的数字大灯了点亮后中间有3个亮点，中期改款的E级变成了2个点，而新C级只剩1个点，当然，这个大灯在国内大概率会成为选配或者顶配才有的东西。在内饰部分，除了空调出风口以外，基本照搬新S级，左边是12.3英寸全液晶仪表，右边是11.9英寸OLED触控屏，我大概数了一下，新C级中控区域的实体按键一只手就能数的过来，基本上都集中在中控屏幕的下方。但是，先不要激动，记不记得A180L上被阉割成两块老式手机一样大的双联屏，在国产后的新C级低配车型上，液晶仪表和中控屏幕大概率也会缩水。总之，新C级的设计可以总结成一句话：走大哥的路，让大哥无路可走。奔驰轿车线每一轮的更新换代，基本都是从S级开始，随后延伸到E级和C级，这样做的好处，是让S级车主率先享用全新的设计语言，玩腻了扔给C级和E级车主，并且C级和E级车主不会有任何怨言，反而会“感激流涕”，自己的车就成了“小S级”，有一种花小钱办大事的舒爽。但是，我仍然怀念那个设计师不会偷懒的年代，每款车都有自己的专属设计，诞生了蝴蝶奔、四眼E等等经典设计，而现在的所谓家族化设计更像是设计师偷懒的结果。反观这次的新S级，那台车的身上有太多的元素在CLS和CLA、以及A级三厢和改款E级上出现过了，并且内饰的全面科技化也放弃了原先坚持了数十年的“纸醉金迷”般的豪华调性，这是一场豪赌。不过，我觉得正是新S级如此大胆，才成就了新C级的设计，这套语言相比新S级，更像是为了新C级量身打造的，它的定位和人群不需要出格的豪华，看起来高级感、再来点新意就可以了，如果新C级能让人遗忘掉现款的设计，就算没上市就已经成功了一半，以至于我们的兔子叕叕叕叕想换车了，只不过他想换的是C级旅行版，我记得他说了这么一句话：“我这个对奔驰从来不感兴趣的人，这次也被‘套头’了（南京话，表示深陷其中）”。再一个比较劲爆的消息，那就是这次新C级取消了立标车型。为什么要取消立标车型，我个人猜测有两个原因：第一， 是奔驰希望更加明确旗下的车型定位，以及区分相对应的消费人群，所以现在S级只有立标，毕竟S级车主的商务需求更多；E级有立标和大标，E级消费人群多样化，有商务的也有家用的；而C级只有大标，你在路上见过现款立标C级吗，之前说买黑色A4L和白色A6L的都是狠人，但我觉得买立标C级的人更狠。第二， 这次新C级的风格明显更偏运动化，比如之前提到更矮的车身，官方宣传片中的样车还是哑光灰色，要知道这在之前可是AMG的专属颜色，让我非常意外的是，新C级的配置中居然出现了新S级上的“后轮转向”，而且被当作主要买点宣传。后轮转向是什么？这是一种后轮小角度转动的技术，低速下与前轮反方向转动，减小转弯半径，高速下变为同方向转动，提升过弯时的稳定性。这玩意儿放在S级这样的大车上，使用场景更多是调头和停车，虽说后轮的转角也许只有几度，但可以将大型轿车的转弯半径缩小至中型轿车的水平。除了大车，一般只有跑车或者性能车才会使用，比如保时捷的911，纯粹为了提升操控极限。这次放在了新C级上面，那么是不是可以猜测一下，在标榜运动的3系都全面舒适化的今天，C级反而希望通过增强运动性能去抢夺原属于3系的粉丝？除了后轮转向和数字大灯，新C级也是不遗余力地去蹭新S级的配置，比如可以点外卖的第二代MBUX系统、新S级刚刚用上的AR-HUD增强现实的抬头显示……先泼一盆冷水，有些东西看看就好，尤其是后轮转向，国产后大概率是顶配中的顶配才有资格享用，参考一下现款顶配的价格，想要这些东西全部配齐，那你面对的很可能是一台指导价50万的C级。没有新意的全系电气化当然，全新C级的重点不只是内饰和外观的改变，这台车的动力总成也采用了M254发动机+48V电机组成的ISG系统，相比于之前的M264发动机+48V电机的BSG系统，现在的ISG系统把电机集成在发动机和变速箱之间，可以直接输出动力和扭矩，而不是像之前那样需要通过皮带进行动力传输。这就相当于过去你如果想把一只整猪放进冰箱，需要先把肉分割开，然后归类放进去，现在则变成了开冰箱门、放进去、关冰箱门，就这么直接。当然，我们作为消费者其实不需要去了解这个ISG系统到底是什么东西，我们需要知道的是，这套动力系统从动力输出参数、响应速度、平顺性、经济性等方面，都超越了奔驰自家之前的BSG系统。其中，1.5T的M254的ISG电机有15千瓦的输出功率和200牛米的扭矩输出，这15千瓦和200牛米是直接可以从启动开始就输出到轮上（严格来说是发动机点火之前），所以它的动力响应可以说超越了很多传统的燃油车，应该是只比电动车的动力响应差一点。而同期发售的插混版本的全新C级，无论其电机架构形式是P1还是P2的，由于ISG系统的存在，从动力层面看，都可以做到类似于本田IMMD那样可以串联和并联的系统，按照奔驰官方现在给出的100公里纯电续航，加上PHEV系统天生具有的节能属性，混动版本的全新C级有可能续航里程超过1000公里。从我的角度来看，奔驰能把全新C级进行全系电气化，这个操作还是很大胆的，特别是连C63 AMG这样经典的性能车，也要变成2.0T+48V的动力配置，这一点是目前奥迪和宝马都不敢做的事，我觉得可以说明两件事：第一， 奔驰对自家的小排量涡轮技术很有信心，这种信心一方面是作为大品牌的自信，相信只有奔驰大标+AMG仍然可以hold住百万的定价；另一方面现在新款A45和A45S上搭载的M139 2.0T发动机，其实力确实很强，主要原因在于近几年奔驰赛车技术大规模下放，所以有能力通过小排量发动机去取代6缸、8缸。退一步讲，现在不换也不行，大排量现在在全球各国都是被打压的状态。我们都知道，上一代的奔驰基本上是部分中低配车型采用混动或者是小排量涡轮，比如被人吐槽的GLB配1.33T发动机、C级和E级配1.5T+48V……从技术上来说，之前奔驰的小排量发动机技术确实不够成熟，加上国产之后各种阉割和减配，北奔的装配工艺也有点感人，进而给人一种德不配位，花钱就是为了买标的感觉，当然人们对于车型排量的固有认知，也是不可忽略的因素。第二， 以目前的形式来看，BBA三家都将大面积采用以轻混为主的动力配置，同时并不完全押宝在电动车上，而是依然将重点押在燃油为主的轻混车型上，当然这其中的原因，一方面是如果全面铺开电动车，那就是自己革自己的命，因为在电动车领域里，传统品牌大多数情况下并不如新品牌好使，对于这种老牌汽车厂家来说，反而容易得不偿失；另一方面则是PHEV类车型在我国和欧洲都算是算新能源车，只是国内目前对于PHEV插混车型的政策正在不断收紧，由于这种轻混车型由于不受电池成本的限制，又能够享受政策红利，所以对于厂家来说，他们在降低车辆油耗的同时，能有更强的议价权和控制成本的能力，还可以去满足更高的排放标准，并且有可能通过混动系统去打造出更强的动力。绝对是当下的首选方案。但是，当我们把奔驰这套全新的电气化动力系统扒开来看，你会发现它的本质其实就是通过“省油+长续航”和“高性能”这两条腿来走路，这一点是不是有些似曾相识的感觉？没错，这正是比亚迪已经做了很久的事情，比亚迪不就是“DM-P系统”走高性能路线，然后“DM-i系统”走省油+长续航路线么，所以奔驰这个玩法真的有些落后了，至少从我自己角度来看，确实没什么新意。而奔驰作为一个已经诞生一百多年的老同志，明显在看清未来趋势方面，还没有比亚迪高瞻远瞩。但是，奔驰这样的汽车界大佬，这一次显然自认为是有备而来，只是汽车市场里并不只有奔驰一家，别的厂家会不会进行“偷袭”也不好说。所以，好戏肯定还在后头。奔驰C级的对手们依照目前的市场情况来看，大多数去选择奔驰C级的客户，主要对比的其实就是奥迪A4L和宝马3系，还有一部分则是会去对比凯迪拉克的CT5、雷克萨斯ES、沃尔沃S60等等。那么，这些差不多价位的车，和奔驰新C级之间应该怎么选呢？我们先聊聊两个奔驰C级的死对头，也就是宝马3系和奥迪A4L。我们都知道，宝马3系是这三台车当中最早完成换代的车型，从过去的F3X变成了现在的G2X，这一代的宝马3系拥有BBA三家当中最长的轴距，也有相对而言更好的乘坐空间，这台车其实从上市到现在，一路价格都非常坚挺，甚至坚挺的有点不像宝马了，市场热度也是很高。撇开价格不谈，现在的宝马3系其实已经不像过去那样追求运动性，反而是逐步的在向舒适化靠拢，现在的宝马3系，不仅原厂全系减配了防倾杆，而且原厂避震也很软，你在开的时候会明显感觉车辆指向性虽然很好，悬架响应也很快，但软趴趴的悬挂，在劈弯的时候很难给你信心，以至于有一种方向盘告诉你可以，但是车身动态反馈告诉你慢一点的感觉。除此之外，2020年9月以后出厂的宝马所有车型，都进行了ECU加密，所以无法通过刷写ECU的方式进行动力升级，并且2020年11月以后的325Li车型，用的发动机改成了和320Li一样的B48C版本，要知道之前的325Li一直用的是B48D机头，和330的发动机一样。简单的说，你可以理解325以前是330的发动机降低了功率，现在是320的发动机调高了功率。有人问，这有什么差别呢，差别在于换装B48C之后，发动机的散热系统发生改变，B48C的散热是风冷+水冷，B48D是两个水箱散热，并且发动机的排气歧管进行了集成，整体性能相比B48D会弱一些……以至于网上都流传一个段子，说“E90是E46的后代，F30是很像奔驰的宝马，G20/G28则是宝马找奥迪代工出来的奔驰”，你品，你细品。而奥迪A4L这台车现在还没有换代，底盘依旧是代号B9的那一套，2016年上市，奥迪换代周期在6-7年，上次B8到B9的换代就经历了7年，所以下次B10换代估计在2022年-2023年。但是现款在售的A4L顶配45TFSI Quattro的运动性非常强，不仅配备了有别于普通A4L的运动底盘，并且在整体性能和硬件配置上也是压着宝马330和奔驰C300在打，加上后续的车辆改装潜力非常高，换言之就是如果不服，那就崩哭你。奥迪A4L的问题在于，买奥迪A4L的大多数人还是选择40TFSI版本的车辆，而A4L时尚版的车型（不管是35TFSI时尚动感型，还是40TFSI时尚动感/致雅型）都没有后排独立空调，也没有后排独立的空调出风口，这一点在日常使用的时候确实差点意思，不过价格合适啊，30万不到就可以落地。而上到40TFSI的豪华型，基本上该有的配置都有了，也就比时尚版贵2万左右，唯一需要纠结的就是选择前驱车型还是四驱车型，如果选择四驱，就再多掏2万。可能有些人说，我买A4L不是为了便宜，而是觉得现在的A4L反而是34C里面操控性最好的车型，所以我决定再等2年，等B10上市再入手。我劝各位早点打消这种想法，因为基本确定，后期B10车型要用MQB横置模块化平台替换掉现在的MLB Evo纵置模块化平台，换言之，下一代的操控性大概率不如现款，但是空间和舒适度应该会提升不少，到时候再配上三块屏的虚拟座舱，照样可以咔咔的收割钱包。如果用全新奔驰C级来和目前在售的宝马3系、奥迪A4L进行对比，其实就是打了一个时间差，因为宝马3系已经进行过大改款，近两年也不会有什么大动作，而奥迪A4L则是中期小改款刚结束没多久，前面我也说了，B10换代车型至少要在2022-2023年才能上市。所以，今年的全新奔驰C级只要不作死、不减配、该给优惠就给优惠，那销量肯定是蹭蹭蹭的往上涨，至于什么1.5T发动机动力弱，相信我，在小S面前，这些根本不是问题，你给这车配个1.3T发动机，价格再便宜2万，很多人也愿意买。撇开BBA三家不谈，目前市场上还有一个对手就是凯迪拉克CT5。凯迪拉克CT5最近销量也是节节攀升，虽然一直以来都被人调侃，认为是买不起BBA的才去选择凯迪拉克，这里我要帮他们说句公道话。不是买不起BBA，是买不起BB，也就是奔驰和宝马。奥迪不能算进去，因为奥迪A4L现在优惠后的价格，实际上与CT5差不多。CT5目前优惠5-5.5万，28T豪华落地28万出头。A4L 40时尚落地30万不到，其实是差不多的。能选择CT5的客户，绝对不是因为这一点价格差，更多是对凯迪拉克的真爱。凯迪拉克CT5也是最近才上了2021款车型，主要是在内饰和车机方面进行了一些小的提升。凯迪拉克CT5这台车相比BBA而言，其本身最大的优势主要在于性价比，能让你用更少的钱买到更好的配置，并且这台车的发动机不像BBA那样分高低功率，全系都是237马力/350牛米的发动机，只是百公里加速7.3s的成绩总让人觉得差点意思。但是，凯迪拉克CT5也有一些小问题，比如这台车的内饰相比于BBA而言确实差点意思，这一点不仅限于CT5，凯迪拉克全系车型（除了凯雷德）其实都有这个问题。再一个问题就是这台车的FOTA系统，这个问题我一直都很诟病，我总觉得是凯迪拉克用力过猛，而且还把力气用错了地方，因为大多数去选择凯迪拉克的车主，其实追求的就是运动性，现在这个237马力显然是不够格的，毕竟之前老款ATS-L都有279马力，加上凯迪拉克现在一个FOTA搞上去，使得现在的CT5无法像别的车型那样通过刷写ECU进行动力升级，只能默默地等待官方推送动力升级程序，但是官方到现在也没有动静；最后的问题就是配置不合理，当然这个配置指的不是舒适型配置，而是硬件配置，要知道过去的ATS-L全系标配前轮BREMBO四活塞刹车，但是到了现在的CT5反而变成了顶配才有，所以我就在想，即使是无法标配这些性能件，是否能够开放选装，该多少钱就多少钱呗。最后，奔驰C级其实还有一个对手，那就是雷克萨斯ES，有人说，不对啊，IS才是对标34C的车型，别急，听我说。目前IS新款还没上市，国内没有IS可买，但是ES200这款车的定价29-30.9万，一台进口的雷克萨斯ES，理论上车型定位还高于34C，裸车价不打折也就是3系、A4L、C级的价位，还送4年10万公里免费保修保养，你觉得吸不吸引人？雷克萨斯ES这台车的路数其实和凯迪拉克CT6、沃尔沃S90差不多，都是越级来打B级车市场，同时和C级车产生竞争关系，只不过凯迪拉克CT6和沃尔沃S90目前的优惠幅度非常大，而雷克萨斯ES则没有优惠，有不少地方直到现在都还是要加价提车，但是胜在定价不高（官方指导价29-40.9万）。假如真的有客户从ES200开始看起，说不定还会被混动洗脑，最终买了ES300h也说不定，到了豪华品牌混动领域，雷克萨斯几乎通杀四方，并且同等价位中雷克萨斯在主被动安全配置上给到的配置也算可以。但是，雷克萨斯ES这台车一直以来就像榴莲一样，两极分化非常严重，喜欢的人就特别喜欢，觉得舒适度好、保值率高、后期养护省心，但是不喜欢的人就嗤之以鼻，觉得就是个老年代步车，中控土了吧唧，车机难用的要命，最关键的是动力是个弱鸡。取消平民车？奔驰希望自己成为奢侈品之前在网上一直有传言，说奔驰希望自己成为奢侈品，把自己打造成汽车中的爱马仕。我不知道奔驰是怎么理解“奢侈品”这三个字的，因为在我看来，车和包、衣服、鞋子都不一样，价值基准也不一样，就算是几十万的奔驰车，其本质依然具备极强的工具属性，只有那些超豪车和超跑，才算是真正意义上的奢侈品，而奢侈品包包的价值更多体现的是社交属性，没有人在意一个爱马仕可以装多少东西。传言中，奔驰的做法是取消C级以下的所有车型，也就是说未来奔驰将没有30万以内的车，假如奔驰真的要这么做，我先不谈能不能成功，但也许能让奔驰离自己想象中的“奢侈品”更进一步。当然，奔驰也有自己的苦衷，毕竟等车辆电池和充电技术成熟之后，电动车的成本会进一步的大幅度降低（看看每年都在降价的特斯拉），而传统燃油车企在30万以内的市场去和电动车拼性价比，结局大概率是失败，这个问题在目前逐渐价格下沉的豪华品牌上会尤其明显，所以要么拼不过就加入电动大军，要么干脆放弃这部分市场打出价值差异化，奔驰的奢侈品路线倒是为所有豪华品牌提供了一个破局的思路。这景象像极了当年钟表业的石英危机，瑞士的机械手表在引以为豪的可靠和精准上，被来自日本的精工石英表打的毫无还手之力，要不是后来瑞士钟表业找到出路，将机械手表与奢侈品的概念牢牢捆绑，现在至少有一半的瑞士钟表品牌已经消失。但是活下来的，妥妥的都是奢侈品。这次的全新C级或许多少也受到了这种理念的影响，整台车看上去非常精致，现在这个年代不缺家境优渥的人，尤其在这两年疫情导致的通货膨胀基础上，手里有些资产的人反而越发有钱，今年南京的奢侈品店门口，排队的人比往年都多，而且每家店出来的人手里都提着大包小包。也许，看着更精致的奔驰，才能满足这些富裕阶级的使用需求和社交需求，只是这样一来，我们这样的普通人也许会离奔驰越来越远。你说对吗？*图片源自网络音频图文更新在订阅号： 百车全说每期抽三条留言，每人赠168元的“芥末绿”燃油添加剂一瓶点击订阅，每周三，周六更新会有提醒新听友可以搜索：百车全说2014，百车全说2015，百车全说2016，往期300多个小时的节目可供收听
To get started as Reccommended by @hivepeople Hive people has written a really great post on how to get started so I'm going to ask you to go read the full post here. But in a a nutshell here is the process if you are brand new and are not coming from Steem as I was. >If you're brand-new to Hive and need a free account, we think the easiest way to get a free and instant Hive account is with Esteem app: https://esteem.app/signup Now for some reason or another eSteem was having issues that day but I was able to sign up through an @Engrave account by going through a link on https://signup.hive.io/ Just what ever you do dont give up. You will get in. Keep in mind these are real people and not some random bots that approve your invite. The Process was simple enough. When you clik on the big sign up button it takes you to a page that has list of users offering invites, whether they will hive delegated, any requirements to prove you are real and not a spammer. An estimated response time from them and how many invites they have remaining. Just choose one and click on the claim link on the far right and follow the instructions. Like I said pretty simple. By the way my invite said to expect 72 hrs for a response. I got in within 3-4 hrs. Thats pretty damn quick in my book. THIS IS VERY IMPORTANT!!!!! **Save your private keys!** NOBODY CAN SEND THEM TO YOU AGAIN, **EVER!** If you loose them they are gone forever. You will have to start over with brand new keys and new identity. They are randomly generated and not stored in any database. These are not passwords. You have to think of them as a physical metal key to get into your house. Save them on a usb stick, sd card or print them out on paper! It can not be stressed enough. **SAVE YOUR KEYS!!!!!** ### Whats Next? Well @hivepeople recommend the following: 1. Write a post introducing yourself and make sure to use the #introduceyourself tag. 2. Join 3 Communities that interest you: https://peakd.com/communities 3. Follow @hivepeople on Hive and tag us in your #introduceyourself post so that we can find and upvote you. 4. Join the Hive tech support channel in Telegram: https://t.me/hiveblockchain 5. Follow @hivepeople on Twitter and tag us in a tweet if you need help with any of the steps above: https://twitter.com/HivePeople Some of which I did. I think the only thing I didnt do is Telegram because I dont like Telegram. Now start being social! How I post When I'm at home or on the laptop on wifi. I use [PeakD](https://peakd.com) through the Brave browser. I also tend to switch hit and use the [eSteem](https://esteem.app/) desktop app as well. While I'm on the browser subject you can use a couple of extensions on Brave. There is HiveSigner and/or Hive Keychain. I'm currently running Hivesigner on the Frankenputer big dog computer and Hive Keychain on my Chromebook C300 running GalliumOS.And both work beautifully. I honestly cant decide which one I like better. It does seem to be that Hive Keychain is just a tad faster on the C300 than the Frankenputer. When I'm on mobile, which is 80% of the week I currently use 2 android apps. I use [Hive Wallet](https://hivewallet.app/) and/or [eSteem's android app](https://esteem.app). I admit that eSteem is my go to android app currently. Because it just works. But HiveWallet does have a browser that lets you use other hive apps such as PeakD. It is honestly a little clanky at the moment but it is still ver, very new as with everything in the Hive ecosystem. But that is what is making this jouney so damn exciting! https://peakd.com/hive-198524/@hivepeople/hive-for-noobs-hive-198524 https://peakd.com/hive-174578/@sidwrites/11-hive-mistakes --- Send in a voice message: https://anchor.fm/landp/message
episode notesKey FeaturesCanon Super 35mm Dual Gain Output (DGO) SensorDIGIC DV 7 Image ProcessorModular Design with Three Available Expansion UnitsCanon Log 2 and 3 Gamma SupportLM-V2 4.3" LCD Touch Screen Monitor4-channel Audio RecordingSupport for Custom User LUTsUser Interchangeable Lens Mounts (EF, EF-C, and PL)Anamorphic Lens Support (2.0 and 1.33)Canon Cinema RAW Light and XF-AVC RecordingFive-axis Electronic Image StabilizationDual Pixel CMOS AF with Touch AF and Face Detection120 fps @ 4KBody only is around $10,999Launching later 2020
In this episode of Gear In Review, Bobby Rettew and Mark Berry discuss the Canon c300 Mark II and the newest upgrade to one Canon’s broadcast industry cameras the c300. Join us as we dive in and talk about the in’s and out’s from set-up, on-site production, and comparing to other cameras in our tool bag! Here are links to items we discussed: Canon c300 Mark II - B&H Photo Canon c100 Mark II - B&H Photo Canon 5D Mark IV - B&H Photo Sony FS7 - B&H Photo
Kate's out of town so John gets high and rants about cinematography!
My July podcast is all about camera technology from formats and exposure to the emotion and motivation of focus pulling and much more. Topics covered include: What it takes to capture the “cinematic” look and feel with your camera Selecting your next camera: the pros & cons of Panasonic GH4, Sony A7s, Canon 5D Mark II & Mark III, C100, C300 and the Blackmagic Cinema Camera The emotion and motivation of focus pulling 3D LUTS and false color
Thank you to everyone who submitted questions for this month’s Inner Circle podcast. Just a reminder that you can submit more questions here- http://www.hurlbutvisuals.com/blog/2014/08/submit-your-podcast-questions/ This month we cover: Mastering color temperature, choosing picture styles and exposure tips for specific cameras In depth discussions of DSLR, C100, C300, C500, 1DC, Alexa, BMCC and Red Dragon My camera tests, how I shoot them and what I look for in lenses, sensors and color space Choosing shutter speed vs shutter angle
Where does the redesigned 2019 Audi A6 fit into the executive sedan ecosystem? Sami drives the latest Audi in Portugal and comes back suitably impressed by what the luxury car has to offer. Meanwhile, Benjamin falls in love with the wagon version of the Mercedes-Benz C-Class, and delivers an impassioned soliloquy on the benefits of wagons over crossovers. Finally, Chevy's turbocharged four-cylinder Silverado gamble is an intriguing play for the full-size pickup, but neither Sami nor Benjamin are sure just how, exactly, it will play out.
SYNOPSIS: Tom, Pepijn and Marcus talk with Fraser Speirs about the state of iOS in Education, ChromeOS, G-Suite and more! YOUR HOSTS: Tom Bridge, Partner at Technolutionary LLC [@tbridge] Pepijn Bruienne, R&D Engineer at Duo Security [@bruienne], Proprietor of EnterpriseMac.Bruienne.com Marcus Ransom, Senior Apple Systems Engineer, CompNow [@marcusransom] GUESTS: Fraser Speirs, Head Teacher, Cedars School of Excellence [@fraserspeirs] LISTEN! SPONSOR The Mac Admins Podcast is sponsored this week by Spoke and Uptycs Click through for a free 30-day trial of Spoke! Learn more about the NEW Mac EDR Dashboard at Uptycs LINKS & NOTES Accidental Education Podcast iPad Still Excels 40% C300 failure rate: Acer Chromebook Tab 10 Diffusion of Innovations PATREON SPONSORS The Mac Admins Podcast has launched a Patreon Campaign! Our named patrons this month include Weldon Dodd of Rewind Technology, William Smith, Jonathan Spiva and Graham Gilbert. Thanks everyone! COMMUNITY CALENDAR, SPONSORED BY WATCHMAN MONITORING Conference Sites MacDevOps YVR in Vancouver, June 7-8, 2018 — NOW WITH 20% DISCOUNT! X World in Sydney Australia, June 27-29, 2018 Penn State University Mac Admins in State College, PA July 10th-13th Meetups Utah Apple Admins will meet at the Marriott Library at University of Utah on May 16th at 11am Mountain time. Macbrained Twin Cities will meet at Mono on May 16th at 5pm. Macbrained DC will meet at Tequila & Tacos on May 16th at 6:30pm Dallas Apple Admins will meet at Bottle Rocket Studios on May 17th at 6:30pm Seattle Apple Admins will meet on May 17th at a location to be determined. Contact ctdawe on the Slack for more information RATE US ON ITUNES! Give Us Five Stars! SPONSOR MAC ADMINS PODCAST! If you’re interested in sponsoring the Mac Admins Podcast, please email podcast@macadmins.org for more information. SOCIAL MEDIA Get the latest about the Mac Admins Podcast, follow us on Twitter! We’re @MacAdmPodcast!
The National Sales Director for Wilson Golf, Mr. Chris Rusin, joins us for episode #261 of the Worldwide Golf Shops Insider Podcast to talk the all-new Wilson C300 Irons. In this episode, we discuss the launch of the all-new Wilson C300 Irons, the difference between the various types of clubs in the market and what clubs would be best for three specific types of players, where the C300 irons fall into Wilson’s family of clubs, the power hole technology in the irons, the increased distance and face flex on the C300 irons compared to last years C200 model, and the importance of getting custom fit at a Worldwide Golf Shops location near you! Take a listen to our podcast or visit a Worldwide Golf Shops Location to get custom fit for the all-new Wilson C300 Irons!
Four seats and four driven wheels aren't what you'd expect from a Ferrari, but then again, the GTC4Lusso - an update of the FF - is like nothing else the Italian brand has ever built. Benjamin gets a chance to pilot the most unusual 12-cylinder modern Ferrari in the line-up, while Sami also reflects on his recent supercar experience in the McLaren MP4-12C, which has become a stellar bargain on the used car market. Then it's back to Challenger town as Benjamin drives the Challenger T/A and realizes that it might really only be subtly different from the Scat Pack - and that's probably by design. Sami rounds things out with a love letter to the Mercedes-Benz C300 cabriolet, a car he would probably marry if he weren't already engaged to danger.
In dieser Episode rege ich mich ein wenig über Canon auf, rede über Neues von RED und sage Tschüss zu Lexar.
In Podcast 153, John Davis and the MotorWeek gang have some ground to cover. First, in Toyota's latest hybrid, the Prius Prime. Then it's the Mercedes-Benz C300 coupe. And FYI's Lauren Morrison tells us all about her story on Used Veh
There is no guest this week as DJ, Sharron and David have had a busy summer. Instead DJ talks through the news highlights from the summer which we have missed. There is some C300 mk2 & Sony A7R2 talk but most of the discussion is of new innovations in drones, rigs and 4K video cameras.
The new Canon XC10 4K camcorder and the C300 Mark II (now with 4K internal recording) were announced just prior to the start of NAB 2015. I share my thoughts on these two cameras in episode 154 of the Digital Convergence Podcast. The Video Business Success Coach, Kris Simmons, explains why you should pay yourself first in your video production business. Show notes for DCP episode 154: http://carlolson.tv/dcp154 Ron Dawson's blog article: What Really Makes A "Game Changer":http://daredreamermag.com/2015/04/14/what-really-makes-a-game-changer/ Sign up for KRE8insights: http://carlolson.tv/kre8 Become an associate producer of the Digital Convergence Podcast by your generous financial support: http://www.patreon.com/carlolson Leave voice mail feedback:https://www.speakpipe.com/CarlOlson Send me an email: http://carlolson.tv/contact/
There is an ongoing debate wether or not you should post your wedding package and portrait pricing on your website. I have said it before I am not a big fan of making definitive statements but this is the one of the few times I will say I would not post my prices online. Now I would consider putting a packages "starting" at price but not all of your prices. The way I look at it is I want people to contact me for the chance to "make the sale'. If they look at my prices and see that I am just out of their budget they may move on. Where as if I spoke to them on the phone I would have had a better chance of either giving them a discount or working something out. Of course it's totally up to you to decide what you would like to do for your business. That's the great thing about what we do is there is no right or wrong way, you go with what feels right and works best for you. As you guys know we have been using the Atomos Shogun for the last few weeks. This is the latest and greatest Atomos with its huge 7 inch touch screen and ability to record 4k footage. Of course you need to have a camera that does 4k but even if you don't have one yet you can take full advantage of the 1080 ability. I personally want to thank Atomos for their continued support and want you guys to know that without sponsors like them footing the production costs we would not be able to bring you RAWtalk each and every week. YouTube has started the process to possibly charge a monthly subscription fee to allow viewers to watch Ad free videos. Would you pay for this ability? If so how much? Stephen hits us with a TON of photo news this week and I wrap up the show with "Flying Solo" and the "Wheel Of FRO". 00:00:01 - Show Intro 00:07:15 - Would you pay Youtube to have no ads? 00:10:20 - Why you shouldn't put your prices online? 00:15:37 - Photo News 00:58:40 - Flying Solo 01:42:50 - Wheel of Fro
In episode 8 we have our freelancers Xmas party, complete with rubbish cracker jokes! Paul gets very excited over his new top light and Steve goes back to studying as he starts a Resolve 11 course. The decision whether to shoot LOG and grade later versus creating a finished look in camera is becoming an increasingly difficult choice. With this in mind we set up a camera test with the FS7, C300, F5, F55 and AS7. Paul and Steve chat through their findings which can also be viewed on Vimeo. Thanks to everyone who has listened and supported us this year. Merry Xmas Steve & Paul Available on ExtraShot.co.uk ExtraShot on facebook Our twitters: @extrashotcafe @gomediavideo @paulream
Paul and Steve welcome you to our very first episode. Pull up a chair, order a cappucino and have a listen to our thoughts and experiences on what it means to be a working video professional here in the UK. Collectors will be fighting over this one day! In this episode Paul talks about his Sony F5 and explains why he told Steve to buy a Canon C300! Do real cameraman need autofocus? And should Steve send his C300 off to be upgraded? There was some confusion over exactly what a DIT is (answers on a postcard), although there was consensus that they are becoming more and more valuable. Paul politely asked editors to embrace FCPX so his new codecs can be used and Steve told us to start watching the fabulous Fargo. These are the links we discussed: Available on ExtraShot.co.uk panascout app Go Creative Show Our Twitters: @extrashotcafe @paulream @gomediavideo
Gareth, Matt and Phil get together to chat about the latest mobile phone, tablet and chromebook news in the UK Featuring Gareth, Matt and Phil Direct Download iTunes Download the iPhone App Download the Android App RSS Feed Email us: Podcast@tracyandmatt.co.uk Tel: 0208 123 3757 Show Notes Mobile Mayhem Tune in for The Mobile Tech Addicts Show HTC One Mini2 surfaces Microsoft enters the race for your wrist Tesco keeping up with the Hudls ZTE announces the arrival of the Blade L2 in Europe Desire 816 and 610 in the house Acer Newchunks: LG G3 leak pictures Gear Glass Nexus 8 and Nexus 6 Tablet Table and Laptop… Lap Three LG tablets on the horizon Apple MacBook Pro battery issue Archos GamePad 2 Unboxing LG Chromebase available in the UK Asus C200 and C300 are official Two Chromebooks from Lenovo Bargain Basement Asus Google Nexus 7 Wifi 16GB - Black - 2013 Version Argos Ebay £139.99 (£50 Google Play voucher) Motorola Moto G™ 8GB Black £105.00 - TDX-TH6W - topcashback: ~5.25% - £95.00 HTC One (M8) Gunmetal Grey - £529.00 - TDX-JK4T - £476.10 Samsung Galaxy S4 16GB 4G/LTE Black UK SIM Free Unlocked £298.99 LG G2 - £290.63 Email us: Podcast@tracyandmatt.co.uk Tel: 0208 123 3757 Gareth Myles – @garethmyles Matt and Tracy Davis - @tracyandmatt Dan Carter – @mobilemandan Phil Lain – @low405 The Mobile Tech Addicts Show Mobile Tech Addicts Facebook Subscribe in iTunes to our weekly podcast RSS Feed for our weekly podcast Download the iPhone App Download the Android App
What professional Canon camera should you purchase or use on your next digital cinema shoot? What mobile recording devices will provide the best workflow? What are the notable difference between the EOS C500 and the EOS C300? These questions and more answered my Canon representative Larry Thorpe.
What professional Canon camera should you purchase or use on your next digital cinema shoot? What mobile recording devices will provide the best workflow? What are the notable difference between the EOS C500 and the EOS C300? These questions and more answered my Canon representative Larry Thorpe.
Chris Fenwick, planetMitch, and Carl Olson talk about the latest news in video and photography. In today's news RED sues Sony, Canon releases firmware updated for the C300, Apple reduces prices on some Retina display Macbook Pros. Cool infographic on Film Industry By The Numbers. Filmmaker Devin Graham documents cool water-based jet pack.
The buzz is building for NAB. What is Canon going to announce? Wait, not one, but two cameras? planetMitch, Chris Fenwick, and special guest Paul Antico, all chat with me about we might expect from next week's NAB show in Las Vegas. Also, in the news we talk about the FCP X 10.0.4 update from Apple - and - ouch! - it breaks Red Giant Software's Magic Bullet Looks and probably a whole bunch of other plugins. We talk about Flickr, 500px, and Instagram. In the course of the conversation we invent three new phrases: data tainting, pixel gorillas, and 4K for free. You'll have to listen to the podcast to see what it all means :) Paul Antico talks about his progression from a "convergence" shooter with the Canon 5D Mark II (and now Mark III) to the FS100 to the C300. Chris talks about the question of whether one should switch to Avid. Of course, we do our usual artist picks and gear picks. Many thanks toCrumplePop for sponsoring the podcast. Until next week, that's a wrap!
In this episode we talk about the 5DmkIII, the C300, Sony's FS100, and our beloved GoPro, and how inexpensive hardware impacts budding filmmakers and veterans alike. We also pay homage to American Graffiti.
Show notes and comments at videostudentguy.com
Photojournalist turned film maker Vincent Laforet discusses his transition from stills to moving images, his evolving relationship with Canon, what’s so great about the C300 camera, the importance of persistence, working with creatives, and developing an original feature film in the current climate of reboots and remakes. You can find his work at: http://www.laforetvisuals.com/ You can purchase his book, "Visual Stories", here: http://tinyurl.com/7aer5rz His first video project, "Reverie", can be found here: http://vimeo.com/7151244 His latest short film, "Mobius" shot on the C300: http://vimeo.com/31525127 The Famous Footwear "Neighborhood" spot we discuss: http://vimeo.com/17355509 The Mountain Dew "White Out" spot Vincent directed and DP'd: http://vimeo.com/15237626 The "Get a Pair" spot we discuss: http://vimeo.com/16668976 Canon's "Behind the Still" campaign: http://vimeo.com/19096657 The VW spec spot Vincent did for Canon: http://vimeo.com/12056425
Show notes and comments here.
Episode 56 - Chris Fenwick, Mitch Aunger (aka planetMitch), and Carl Olson ponder the question: should freelance videographers sell their HDSLR kits and buy a Canon C300?
In episode 54 of the Digital Convergence podcast Chris Fenwick and Carl Olson talk about the recent announcements from Canon and RED.
The RC was at both the Canon and Red Events last week and on this our 100th show, Jason and Mike try explore the implications of last week's huge announcements. PLUS in the Red Room Möbius director : Vincent Laforet.
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