Podcasts about slido

Seamless Slides and Stellar Delivery. Unlocking AI's Potential in Presentations In Japan Something I had never heard of before called “Steampunk” popped up in my TikTok feed. Now I write a daily blog published on YouTube, LinkedIn, Facebook and X, called “Fare Bella Figura: Make a Good Impression, Be A Sharp Dressed Man” on the subject of classic men's wear for business. Obviously, I am interested in how we men choose to master and control our first impressions in public.  Everyone is judging us based on how we appoint ourselves and that is before we have any chance to utter even one word.  If that is the case, and it is, why not make an effort to control that first vital impression?  Anyway, that is another podcast subject, so back to today's theme.  These Steampunk videos were AI created and featured seriously “killer handsome” men wearing very, very cool Victorian era clothing. The imagery was amazing, fantastical, and addictive.  Sadly, probably no one looked anything near that good in foggy Victorian London and few guys today could even come close to these AI images.  It is all fake, and this is an important point to keep in mind when we are dealing with AI. This got me thinking about AI and fakery in the field of business presentations. Where is the line to discriminate between fakery and authenticity? Let's look at some of the AI tools and see where they are leading us. Canva, Beautiful.ai, Visme etc., use AI to arrange our basic slides into very sophisticated output.  If we are not sure what style of visual presentation will best suit the content, then we can access help from Microsoft Designer and Google Slides AI.  If we have numbers to represent on screen, then Infogram and Datawrapper can help. The AI will suggest the best chart type based on the data. I don't know that we need that much help though: for data over time use line graphs, for short-term comparisons use bar charts, and use pie charts for gauging proportional differences.  If we are thinking about how to put the talk together, then ChatGPT, Claude and Jasper AI can craft a script as a base for us to work with.  If we want a formal tone, we can command it or go for a conversational tone, and the AI will respond accordingly.  If like me, you are not that red hot on grammar and punctuation, then Grammerly or ProWritingAid can make suggestions.  They don't always get it right, so we have to maintain a certain amount of knowledge to intervene when needed. It is handy though to be reminded that you have started the last three sentences with the same word, so that we can introduce more variety into our prose. I haven't tried them myself yet, but I am told that Orai and Speeko will analyse my delivery in real time.  I can get feedback on pacing, tone, filler words, modulation and pronunciation.  I had to give a major keynote recently to an elite audience and if I had been more organised, I could have tried them out. I will use them the next time during my rehearsals.  I wonder if they give us Good/Better feedback, rather than confidence sapping critique?  By the way, a word to the wise, if you ever ask anyone to listen to your practice sessions, instruct them to give you only Good/Better feedback.  Otherwise, their first inclination will usually be to criticise what you are doing and demotivate you. I have seen some speakers using Mentimeter and Slido, which are AI driven to facilitate real time audience interaction.  We can run instant polls, pose questions, and get feedback during our presentation.  We can do the same things analog too, but it looks cool to use these tools. I have seen simple bats with “Yes” on one side and “No” on the other used to gauge audience agreement with whatever the speaker is proposing and it works well. We can simply ask people to raise their hands in response to their agreement with the question or not and no tech involved. Personally I go for simplicity when presenting. I do recommend keeping a hawk-eyed accounting of the faces of the people in the audience. If you think that is too old school, you can try Beyond Verbal and Emotional AI.  These tools will interpret audience facial reactions and voice tones to help you understand the engagement levels of the audience. All great stuff but I find watching their faces carefully does the same thing, and it is real time. There is no doubt AI is here to stay and capacity will only broaden and improve.  We have to keep in mind, though, that these are just tools and not a substitute for our role as the speaker.  I actually don't want my AI enhanced slide deck to be so spectacular that the audience stops watching me and becomes totally engrossed with what is on screen.  We, the speaker, have to be the center of attention and the tools are at our command, rather than commanding us. That is why I don't like using videos.  If they are to be used keep let's them super short. Like those handsome dudes in the Steampunk videos, the presentation is superb, but the AI is fake and we can never match what is being presented.  We can dress ourselves in the same Victorian way, using fine fabrics, but we will never be that handsome and cool looking. We need to keep AI in perspective too, not get carried away with the tool set and forgetting about the human dimension aspect of the delivery. We, the presenters, must always be the main game, the core talent and the real focus for our audience. The tech has to be used in moderation and the speaker must be soley placed in the spotlight. Don't let the AI become the star like in those Steampunk videos I mentioned.  We reserve that position for ourselves, always, everywhere and we allow no AI substitutes for us.  

Annual 57th AABP Annual Conference Helpful Hints          AABP Executive Director Dr. Fred Gingrich welcomes you to Columbus, Ohio, for the 57th AABP Annual Conference. Special thanks to the program committee, led by Dr. Dave Sjeklocha and seminar chair Dr. Callie Willingham for planning the scientific CE for this conference. The theme of the conference is “Challenging the Norm”. Gingrich walks through some of the sessions and events from the conference, including thanking our sponsors for their support of our meals and events:Boehringer Ingelheim for sponsoring the Wednesday welcome reception and the 5K Stampede Fun Run.Diamond V for sponsoring the Thursday breakfast presentation.Zoetis for sponsoring the Friday breakfast presentation and Friday dinner and scholarship presentations and auction.Vaxxinova for sponsoring the Quiz BowlEndovac for sponsoring the student reception.We would also like to thank our other sponsors for their support of the conference which includes Hoard's Dairyman, Elanco, Merck Animal Health and Udder Tech. Thanks also to all of the companies that exhibit in our trade show and make sure to check out the fun things to do in the trade show while visiting the booths and products available to you!Make sure to pick up your registration pack near room A110 at the bottom of the escalators in the convention center when you arrive. After the conference, make sure to fill out our conference feedback survey in Slido and get your CE certificate by hovering over you name and select “My CE Certificates”. Other useful links:Slido – this can be downloaded as an app or use your browser to participate in polls and submit questions to speakers.Ride Share – submit your travel information to connect with other attendees.Conference website – find all the information you need for the conference in one location.Auction items – browse the live and silent auction items to prepare your bids. 

Vom 10. bis zum 14. Juni 2024 finden an der Universität Duisburg-Essen die Wahlen zum Studierendenparlament und zur SHK-Vertretung statt. Wir stellen euch die vier Listen vor, die in diesem Jahr antreten und um Sitze im Parlament kämpfen. Wir liefern euch exklusive Interviews mit den Kandidierenden und sprechen mit dem Vorsitzenden des Wahlausschusses, um euch alle wichtigen Informationen zu liefern. Hört rein und erfahrt, welche Themen und Ziele die Listen verfolgen und warum eure Stimme zählt! In dieser Folge: Noah Degner und Armin Osaj (Studi Löw - Im Denken Offen - SliDO)

L'épisode le plus long de l'histoire de Nos 2 Centimes, c'est cadeau et c'est à découvrir dès maintenant. (Oups ! On avait beaucoup de choses à dire et beaucoup de questions intéressantes à discuter

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

Rozumieš IT a láka ťa vymýšľať pre používateľov sexy riešenia? Marek Chrenko je Front-End developer vo firme Slido a v tejto epizóde sme sa rozprávali aj o tom: - ako sa snažia, aby ich online produkt bol jednoducho používateľný a chceli ho všetci - prečo potrebuje okrem angličtiny rozumieť aj indickej či čínskej verzii Slido - ako inovatívne spájajú Slido s nástrojmi na videokonferencie vďaka integráciám - že je bežné, ak v práci väčšinu času veci nefungujú tak ako majú, a preto jeho práca vyžaduje aj vytrvalosť - prečo si máš všímať, čo robíš, keď nič nerobíš. Debatovali sme aj o stave totálneho sústredenia, ktoré zažíva pri programovaní. Čo mu pomáha dostať myšlienky najskôr na papier, a následne do kódu? A aký je výsledok jeho práce? Že Slido pre nás funguje spoľahlivo a ľahko sa nám používa. Vypočuj si nový diel JOBCASTu a zisti, či je práca Front-End developera aj pre teba. JOBCAST ti prinášame v spolupráci s younique v a GROWNi.

Show host Julia Patrick discusses recent NPO questions with Tony Beall, the Senior Director for the Center of Development and Advancement at National University. The discussion revolves around key topics related to nonprofit management and leadership, emphasizing the importance of creativity, collaboration, and empathy in nonprofit leadership. The questions addressed on this fun fast paced episode include: The practice of starting staff meetings with a "mission moment." Julia and Tony both agree on the importance of these moments, as they serve to center and refocus the team on their organization's mission. However, finding efficient ways to incorporate mission moments can be challenging. Tony suggests creative alternatives, such as regional mission moments or using digital platforms like Slido to capture the essence of mission moments and highlight them during all-hands meetings. A professional who is considering serving on the board of another nonprofit organization that works in a similar field. The concern is whether this would be a conflict of interest. Tony emphasizes the value of collaboration and suggests exploring ways for the two organizations to work together rather than viewing it as a conflict of interest. Joint projects, tours, and sharing knowledge can foster cooperation and mutual benefit. The issue of an elderly board member who is struggling with digital tools and technology. The dilemma is whether to ask the board member to step down and find a more tech-savvy replacement. Tony stresses the importance of inclusion and diversity within the board and advises against removing board members solely based on their digital comfort zone. He suggests providing support and education to help the board member adapt to technology, recognizing that digital literacy can be improved. A CEO who has not received a job review for three years. The CEO is concerned about the board chair's reluctance to conduct the review. Tony emphasizes that the responsibility for conducting a CEO performance review falls on the entire board, not just the chair. He recommends using a self-assessment process as a proactive approach to initiate conversation about performance and provide the CEO with an opportunity to reflect on their role. Watch on video: https://bit.ly/3RMhBLUFollow us on the Twitter: @Nonprofit_ShowSend us your ideas for Show Guests or Topics: HelpDesk@AmericanNonprofitAcademy.comVisit us on the web:The Nonprofit Show

Zhruba pětadvacet lidí v Čechách i za oceánem stojí za Deepnote, datovou platformou pro více než 100 000 uživatelů z celého světa. Patří mezi ně firmy jako Discord, Slido, Webflow, velké banky a fondy nebo Nadace Billa a Melindy Gatesových. Umíte vysvětlit pojmy jako datový notebook nebo explorativní programování?

PROČ NĚKTERÉ SKUPINY LIDÍ PŘEKONAJÍ SAMY SEBE A DOKÁŽÍ TOHO MNOHEM VÍC, NEŽ BYSTE OD JEJICH ČLENŮ ČEKALI – A JINÉ SKUPINY TOHO NAOPAK ZVLÁDNOU MNOHEM MÉNĚ? Odkud pochází skvělá kultura? Jak ji ve své skupině budovat a udržovat? Jak změnit kulturu v týmech, které potřebují opravit? Nahlédněte do nitra nejúspěšnějších organizací světa – včetně amerických námořních jednotek SEAL Team Six, společnosti Google či basketbalového týmu San Antonio Spurs – a odhalte, co stojí za jejich úspěchem. Daniel Coyle demystifikuje proces budování kultury tím, že identifikuje tři klíčové dovednosti, vytvářející soudržnost a spolupráci, a vysvětluje, jak se různorodé skupiny učí fungovat jednotně. Na příkladech internetového prodejce Zappos, komediální skupiny Upright Citizens Brigade či odvážného gangu zlodějů šperků autor nabízí konkrétní strategie, které spouštějí proces učení, podněcují spolupráci, budují důvěru a podporují pozitivní změny. Coyle prezentuje a analyzuje užitečné příběhy o selhání, na nichž demonstruje, co nedělat, řeší běžné nástrahy a sdílí rady, jak reformovat toxickou kulturu. Kniha kombinuje špičkové vědecké poznatky, praktické postřehy předních lídrů a šikovné nápady pro akci. Nabízí plán pro vytvoření prostředí, ve kterém se daří inovacím, řeší se problémy a překonávají se očekávání. Kultura není něco, co jste – je to něco, co děláte. Bez ohledu na velikost vaší skupiny nebo na váš cíl vás tato kniha může naučit principům kulturní chemie, která promění jednotlivce v týmy a pomůže jim dosáhnout úžasných věcí společnými silami. Řekli o knize „Na každé stránce najdeme hluboké myšlenky, příběhy, které změní způsob vaší práce, způsob vašeho vedení a váš dopad na svět. Vřele doporučuji, naléhavé čtení.“ – Seth Godin, autor knihy Proces „Skvělá knížka, která na konkrétních příkladech nejen ze světa byznysu jasně ukazuje, co může každý z nás udělat pro svůj tým, aby byl výkonnější a lidé v něm zároveň šťastnější.“ – Michal Šrajer, podnikatel a první český Chief Happiness Officer, spoluzakladatel mezinárodní konference Happiness@Work Live! „Kniha plná inspirativních příběhů, která změní váš způsob vedení lidí. Ať už jste CEO v korporátu, máte restauraci, nebo učíte studenty – vždy vedete tým. Daniel Coyle vám nabídne ty správné a nadčasové ingredience pro jeho správné fungování.“ – Dušan Murčo, Chief Growth Officer v Behavera, ex- Martinus a Slido, tvůrce RemoteLeader.Me „Příběhy silné, neobvyklé i obyčejné. Daniel Coyle v nich nachází klíče k vytváření psychologického bezpečí a kultury, která umožní využít lidský potenciál a přetvořit ho v něco krásného, inovativního, užitečného, úspěšného. Čtete jedním dechem a na konci víte, že to chcete umět taky.“ – Irena Konečná, psycholožka a ředitelka Institutu firemní kultury, z.ú. „Čekal jsem roky, až někdo napíše tuto knihu – v hlavě jsem si ji vysnil jako něco mimořádného. Ale je lepší, než jsem si představoval. Daniel Coyle vytvořil fascinující čtení, demystifikující kouzlo vynikajících týmů. Předčí všechny jiné knihy o kultuře. Rychle si ji přečtěte.“ – Adam Grant, autor knih Originály a Ještě to promysli Autor: Daniel Coyle Typ knihy: audiokniha, e-kniha, tištěná kniha Vydavatelství: Nakladatelství Audiolibrix Vazba: brožovaná vazba Délka audioknihy: 9:32 h Počet stránek knihy: 272 Původní název: The Culture Code Audioknihu Jak vybudovat úspěšný tým si můžete koupit v nejlepším obchodě s audioknihami Audiolibrix. Knihu a e-knihu Jak vybudovat úspěšný tým si můžete koupit na webu nakladatelství Audiolibrix

Episode #185, Troy, Nolan, and Sandy dive into a conversation around defining what a Presentation Design is, by title, description and area of expertise. Plus, this conversation invites everyone to join via an open to all, anonymous Slido poll!   Full Episode Show Notes https://thepresentationpodcast.com/2023/e185   Show Suggestions? Questions for your Hosts? Email us at: info@thepresentationpodcast.com   Listen and review on iTunes. Thanks! http://apple.co/1ROGCUq   New Episodes 1st and 3rd Tuesday Every Month

Panaxeo je slovenská agentúra, ktorá vznikla v roku 2019. Zameriava sa predovšetkým na vývoj softwaru a medzi ich spokojných klientov patrí napríklad Raiffeisen banka, Bloomreach, Slido alebo Tatra banka. Okrem toho bola zaradená do rebríčka 100 najrýchlejšie rastúcich spoločností pre rok 2023 podľa portálu Clutch. Čo sa dozviete?Ako si Adam s Igorom rozdelili podiel vo firme?Ako sa funguje v co-CEOs modeli?Ako sa takáto mladá slovenská firma dostane k americkým klientom?Čo je tajomstvom ich rastu?Okrem Spotify si môžete všetky naše epizódy vypočuť aj na podnicast.com alebo na Apple Podcasts a Google Podcasts.Pokiaľ nás chcete podporiť, môžete tak spraviť tu: Podnicast.com/dakujemeTato epizóda Podnicastu vznikla v podcastovom štúdiu Brept. Ak máte záujem o nahrávanie svojho podcastu, kliknite na www.brept.com.  Brept je štúdio, kde sú brepty povolené.Ak nám chcete dať spätnú väzbu, máte nápad na zlepšenie alebo by ste v Podnicaste chceli počuť niečo konkrétne, napíšte nám na peter@podnicast.com. Ďakujeme, že ste s nami a počúvate Podnicast.Support the show

Send Jackie a Text MessageWelcome to Episode 11 of the Designing with Love podcast, where I share how to use polls during lesson delivery, training, and professional development for learner engagement. This episode also provides information on three well-known and trusted polling software tools I have used, along with five different ways to engage your learners.Polling Software Links:Poll Everywhere: https://www.polleverywhere.com/Slido: https://www.slido.com/Polly: https://www.polly.ai/References:9 reasons to use live polls to drive employee engagement. (n.d.). https://www.polly.ai/blog/live-poll Remember, you can send me a text message by clicking on "Send Jackie a Text Message" at the top of the episode description. Please make sure to like and share this episode with others. Here's to great learning!Music Credit:Nothing Will Stay the SameDarkBlue Studiohttps://www.premiumbeat.com

Greater Manchester has long been centre-stage in visions of a more geographically equal country – from the Northern Powerhouse to levelling up. But the rhetoric has outpaced the reality: productivity and wages across the city region remain 10 and 4 per cent below the national average. What it would take for Greater Manchester to become a much richer city – and who would benefit from such a transformation – is a central theme of the Economy 2030 Inquiry, a major project by the Resolution Foundation and LSE into what a new economic strategy for the UK might look like. Britain as a whole, not just the city itself, need a more successful Greater Manchester. But that will require significant change – on everything from housing and transport to how land is used and the jobs people do. What would a more productive Greater Manchester look like? Is there a plausible strategy for the city to reach that point – and how does it differ from what is currently in train? What difference will recent public transport improvements make? Should housing continue to be prioritised in city centre land use decisions? And how should we expect success to impact different kinds of residents? To debate these questions and launch the conclusions of this major Economy 2030 project on Greater Manchester, the Resolution Foundation is hosting an in-person and interactive webinar. Following a presentation of the report's highlights, alongside the findings from a deliberative workshop with local residents, we will hear from leading experts on how to deliver greater prosperity for Greater Manchester. The event will be open for people to physically attend, alongside being broadcast via YouTube and the Resolution Foundation website. Viewers will be able to submit questions to the panel before and during the event via Slido. This project is being run in collaboration with Centre for Cities. Read the report: https://economy2030.resolutionfoundation.org/reports/a-tale-of-two-cities-part-2/  View the event slides: https://www.resolutionfoundation.org/events/making-greater-manchester-great-again/ 

AABP Executive Director Dr. Fred Gingrich provides information and tips for those attending the conference in Milwaukee September 21-23, 2023. This episode of Have You Herd? is sponsored by Allflex. Find out more information by visiting this page.  The conference will be held at the Wisconsin Center District which is the convention center located at 555 Wells St, Milwaukee, Wisconsin. There are parking garages next to the hotels and the downtown area is located 8 miles from the Milwaukee airport. The airport has Uber, Lyft or taxi service to downtown. When you arrive, go to the ground floor of the convention center to pick-up your registration pack and name badge if you have already registered and paid for your attendance. If you are registering on-site, please understand that some meal events may be sold out and it will take some time to process your registration and payment.  Gingrich advises attendees to review the conference website at https://aabp.org/milwaukee/default.asp to view the schedule, session descriptions, draft proceedings papers, committee meeting locations and agendas, Milwaukee visitors information, Slido links, exhibit hall information and the schedule for exhibit hall presentations called “Chute Side Chats”.  He offers top ten tips for enjoying the conference as well as how to access your CE certificate or listen to the recorded sessions after the conference. The AABP staff and volunteers on the program committee welcome you to Milwaukee and hope you enjoy all of the sessions and events that AABP has to offer our attendees! 

環保永續從日常生活出發，結合環境趨勢與技術交流，更能為新氣候時代作好萬全準備！ 2023 新北青年氣候論壇即將在 9/23（六）登場！論壇將透過新北 i 環保臉書與泛科學 平台進行線上直播、Slido 交流，邀請全臺青年共同發揮永續影響力～ 論壇資訊

With the rise of remote work, online learning, and virtual gatherings, staying connected has never been more important. However, as a facilitator, it's difficult to create virtual experiences that are as good as face-to-face events. Asking 100+ people a question but only being able to acknowledge a handful of responses can leave your audience feeling disengaged. In this episode, I speak to Lux Narayan the co-founder of StreamAlive. His platform is a facilitator's best-kept secret. It uses an innovative way to boost engagement in virtual events. Lux also shares his entrepreneurial journey and some interesting stories of how he wrote his book as well as how he ended up working for one of the most famous Bollywood actors on the planet!Lux NarayanLux Narayan believes that “So, what do you do?” is a tough question to answer and should certainly not be answered with the current title on your LinkedIn profile. In 2021, he published “Name, Place, Animal, Thing”, an Amazon bestseller- to help people answer this dreaded question. He enjoys mining the intersections of various spheres of life and work, speaking of which… He is the CEO and a co-founder at StreamAlive, a category-defining, fun and engaging web application that helps livestreams and live events on Zoom, YouTube Live, in-person, and everything in between literally come alive. With the ability to plan, track, increase, and analyze engagement simply through the live chat, StreamAlive's goal is to help presenters and creators move their audiences from bored-away to blown-away. Prior to founding StreamAlive, and prior to a creative and personal break, Lux was a co-founder and the CEO at Unmetric right up to their acquisition by Cision, the world's largest “earned media platform” that's now a part of Platinum Equity, a $20bn+ private equity group. He is a perpetual learner of “stuff' — from origami and molecular gastronomy to stand-up and improv comedy. He enjoys reading obituaries and has given a talk on the TED main stage – on lessons from 2000 obituaries. This talk has been viewed over 2 million times and translated into every majorly spoken language.

On termine cette saison de Nos 2 Centimes avec les dernières questions posées sur Slido.Voilà donc les questions qu'on discute dans cet épisode : Qu'est-ce que cela veut dire concrètement de marcher avec intégrité dans sa sexualité ?Que penser de la "cancel culture" ?comment éduquer sainement la notion de sexualité, sous toutes ses formes ?Des outils pour discipliner nos pensées pour ne pas envisager que tel ou tel frère peut être notre mari et imaginer à quoi ressemblerait le sexe avec eux ?évidemment : l'homosexualité, qu'en pense la Bible et est-ce que ses interprétations peuvent-elles encore être actuelles ?des mouvements comme le féminisme affirment la liberté des corps (mon corps, mon choix), autant sur la pratique de la sexualité que sur l'avortement, vos avis ?Dans cet épisode, on parle de 2 ressources pour favoriser les conversations sur la sexualité avec les enfants :Un compte Insta (en Anglais), pour aider les parents et adultes de confiance à commencer des conversations sans tabous et claires avec les enfants : Birds & BeesDieu m'a créé comme je suis, Un livre pour aider les enfants à protéger leur corps par HOLCOMB LindseyEt de 2 livres sur le thème de l'homosexualité : Dieu est-il homophobe ?, Sam AllberryL'Eglise et l'attirance homosexuelle: mythes et réalité, Ed Shaw* Les Expertes, c'est Marion, Marjolaine et Sophie, qui trouvent ça rigolo de s'appeler Expertes, car elles n'ont aucun titre ou compétences universitaires sur les sujets des questions. Mais elles ont un peu d'expériences de vie, un peu de sagesse, et elles s'intéressent à tous ces sujets, donc ça compte un peu. Et puis on est en 2023, en 2023, on est tous des experts, non ? (ou pas...)Support the showSuis-nous sur Youtube !Suis-nous sur Instagram ! Soutien le podcast sur Patreon est découvrir les dessous du Podcast !

Last Sunday the Lord had different plans for our service and we didn't get to the Slido panel, but we still answered your questions! Thank you for all the wonderful submissions-keep them coming! If you want to follow up further or have remaining questions, email equipping@cptest.5mt.site The post Q&A Discipleship – Where It Is appeared first on CrossPoint Modesto.

Blended learning is a great way to engage learners and plan fun interactive lessons by incorporating online/digital learning with traditional teaching. In this episode, I will be talking about the different ways teachers can do this through the use of:SlidoKahootPadletCollaborative documentsVoice notes and videosVideoing lessons through google meetFor hours' worth of content on effective strategies to help you build your confidence, develop your skills and thrive in the classroom, just use the link below to join Tem's Teaching Tips:Mastering teachingABOUT THE HOST: Since embarking on her teaching journey in 2009, Tem has been on a mission to empower students to reach their fullest potential. Specialising in Secondary Physical Education, Tem also has experience in Special Educational Needs (SEN) as a class teacher in an SEN provision. With an unwavering commitment to helping students become the best versions of themselves, Tem believes in the power of education to shape not just academic prowess, but character and resilience. Having mentored numerous teachers throughout her career, she is not only shaping young minds but also nurturing the growth of those who guide them.CONTACT METHOD: Official Site: http://patreon.com/temsteachingtips Email: temsteachingtips@gmail.comhttps://linktr.ee/temsteachingtips Get bonus content on Patreon Hosted on Acast. See acast.com/privacy for more information.

Does turning your camera on during video meetings fill you with dread? Or do you look forward to seeing your colleagues' faces on calls? Today, we debate whether teams should default to having cameras on or off in virtual meetings. Get ready to dig into the surprising impacts that cameras can have on creativity, engagement, and even career advancement.Debater Maren Hotvedt argues in favor of keeping cameras on, supported by Juraj Holub, co-founder of Remote People and former chief meeting designer at Slido. Marshall Walker Lee comes out swinging against the practice, with help from industrial-organizational psychology professor, Dr. Kristen Shockley. 

Dans cet épisode, Marion, Marjolaine et Sophie répondent aux questions posées sur slido : Comment faire pour devenir amie avec les incroyables Marion et Sophie ?Comment comprendre ce verset de la Bible : "Il n'y a pas de plus grand amour que de donner sa vie pour ses amis." ? Jean 15Est-ce qu'on peut être attiré.e par un.e ami.e ?Comment gérer des attirances en étant marié envers des frères/soeurs de notre Église ?Est-ce que on peut sortir de la friendzone ? Comment ?Est-ce que c'est dérangeant si notre meilleur(e) ami(e) ne partage pas la même foi que nous ?On fait comment pour créer une connexion amicale avec quelqu'un qu'on ne connait pas ? Des idées pratiques pleasePose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Dans cet épisode, Camille et Raphaëlle discutent de l'importance de la persévérance pour que nos amitiés perdurent.Dans quelle mesure doit-on faire des efforts pour maintenir des amitiés qui semblent se distancer ? Comment peut-on intentionnellement prendre soin des amitiés qui prennent des formes différentes ?Voilà quelques unes des questions auxquelles Raphaëlle et Camille essayent de répondre.Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Un épisode où Clarisse et Raphaëlle échangent sur comment Dieu peut devenir notre meilleur ami. Elles discutent de ce que cela veut dire au quotidien, et de comment cet amitié se vit en pratique.Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Un nouvel épisode dans cette saison sur l'amitié pour parler des limites.Comment connaître nos limites ? Comment savoir vivre en respectant ses propres limites et celles des autres ?Hubert partage une métaphore très parlante sur les limites, et cela nous aide à mieux visualiser comment vivre des relations respectueuses de nous même et des autres.Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Un épisode où Sophie et Léa échangent sur les attentes dans l'amitié.Est-ce qu'il est légitime d'avoir des attentes ? Est-ce qu'on peut travailler à réduire nos attentes irréalistes ? Comment communiquer nos besoins à nos amis ?Voilà quelques questions qui animent notre conversation.Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Dans ce 1er épisode de 2023, Sophie discute avec Léa de ce qu'elle a appris sur la vulnérabilité en amitié en 2022. Parce que c'était le mot de l'année de Sophie, elle a eu le temps de réfléchir à ce que la vulnérabilité apporte à nos relations, et pourquoi c'est souvent très difficile d'être vulnérables.On échange sur ce qu'est la vraie vulnérabilité, et comment on peut grandir pour avoir des relations plus belles en 2023.Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Pour ceux d'entre nous qui ont vécu des moments difficiles en 2022, les fêtes de fin d'année sont parfois synonyme d'isolement ou de souffrance. Dans cet épisode, Elsa et Sophie échangent sur l'amitié dans ces moments difficiles de la vie. Que faire pour aider et soutenir nos amis dans la maladie, le deuil, les cœurs brisés, les rêves déçus ? Comment être amis avec des gens qui vont bien quand nous mêmes nous sommes tristes et abattus ?On vous souhaite de très belles fêtes de fin d'année, et que chacun de vous puissiez vivre des beaux moment d'amitié en 2023Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Dans cet épisode, Raphaëlle et Amandine réfléchissent sur l'honnêteté et l'importance de se dire la vérité dans nos amitié. Elles échangent sur les freins qu'on peut avoir et sur la manière de dire la vérité même si c'est pas toujours facile.Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Un deuxième épisode pour échanger autour de l'amitié avec différentes croyances sur la spiritualité. Pierre-Alain et Adrian discutent des choses qui leur on permis de devenir et de rester amis, et de ce qui les auraient empêché de le devenir. C'est un épisode qui donne envie de profiter simplement de la richesse de nos amitié ! Les questions discutées dans l'épisode :Qu'est-ce qu'un ami pour toi ?Qu'est-ce que tu as reçu de tes amitiés avec des personnes qui ne partagent pas tes croyances ?Qu'est-ce qui nous empêche d'être ami avec des personnes qui ne partagent pas nos croyances ?Quelles sont les choses nécessaires pour qu'une amitié comme cela soit saine ?Qu'est-ce qui pourrait rendre les choses malsaines ?Qu'est-ce que tu voudrais dire à une personne athée ou agnostique qui ne sait pas comment être ami avec quelqu'un qui est affilié à une religion ?Et à un étudiant chrétien qui galère un peu à avoir des amis qui ne partagent pas ses croyances ?Et pour conclure, qu'elles sont tes 2 centimes sur ce sujet ?Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Dans cette 2ème partie d'épisode sur le thème de l'amitié hommes-femmes, Marion, Sophie et Rémy et Sophie continuent d'échanger sur ce sujet. Si vous n'avez pas encore entendu la partie 1, on vous conseille de commencer par le début !Voici les questions qui guident nos discussions pendant cet épisode : Quels sont les signaux d'alarmes qu'une amitié entre un homme et une femme n'est plus très saine ?Dans quel mesure est-ce que clarifier la relation peut la rendre encore plus malaisante ?Qu'est-ce que vous voudriez dire à quelqu'un qui ne croit pas à l'amitié homme-femme ?Et pour conclure, qu'elles sont tes 2 centimes sur ce sujet ?Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

L'amitié hommes femmes est un des sujets qui suscite le plus d'écoute dans les épisodes précédents de Nos.2 Centimes.Pour les 2 prochaines semaines, on discute avec Marion, Sophie et Rémy (que vous avez déjà entendu dans des épisodes précédents) sur les différents éléments à prendre en compte dans ces amitiés très riches !Quelques questions qui favorisent les échanges entre nous :Qu'est-ce qu'un ami pour vous ? /Qu'est-ce vous attendez d'un ami ?Quelles sont les richesses dans l'amitié entre des hommes et des femmes ?Quelles sont les conditions pour une amitié saine entre un homme et une femme ?Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

最近ポッドキャストで話した内容について、収録後、変化があったり調べてみて新しい事実がわかったことがあったので、続報として紹介しました。 ＝＝＝ 目次 ＝＝＝ 00:00:00 イベントでの質問ツールとしてSlidoを使った 00:03:26 mmhmmで同時に複数の画面共有を表示可能に 00:04:40 企業分析インフルエンサーが「お詫びとご説明」 00:08:35 トロンボーンの音ゲーの偽物が改名リニューアル ------- #アシカガCAST デジタル活用のヒントをスキマ時間で。 話題のサービス、注目のソフトウェアの紹介、デジタルツールの活用術など、テック系情報をわかりやすくお届けします。 月〜水 朝8時に更新 ■Twitterアカウント https://twitter.com/ashikagacast Apple Podcast、Spotify、Google Podcastなどでも配信しています。 ■アシカガCAST on アシカガノオト http://bit.ly/ashikagacast_notion ■アシカガノオト http://bit.ly/ashikaganote

最近ポッドキャストで話した内容について、収録後、変化があったり調べてみて新しい事実がわかったことがあったので、続報として紹介しました。＝＝＝ 目次 ＝＝＝00:00:00 イベントでの質問ツールとしてSlidoを使った00:03:26 mmhmmで同時に複数の画面共有を表示可能に00:04:40 企業分析インフルエンサーが「お詫びとご説明」00:08:35 トロンボーンの音ゲーの偽物が改名リニューアル-------#アシカガCASTデジタル活用のヒントをスキマ時間で。話題のサービス、注目のソフトウェアの紹介、デジタルツールの活用術など、テック系情報をわかりやすくお届けします。月〜水 朝8時に更新■Twitterアカウントhttps://twitter.com/ashikagacastApple Podcast、Spotify、Google Podcastなどでも配信しています。■アシカガCAST on アシカガノオトhttp://bit.ly/ashikagacast_notion■アシカガノオトhttp://bit.ly/ashikaganote

The second part of our three-part series with Dr. Robert Sise shifts our discussion to a few very important topics, including how we can reduce the barriers for employees to get care for their dependents, plus we talk about compassion fatigue and cite some examples. He also shares an interesting story from his addiction fellowship at the Seattle VA Addiction Treatment Center. We shift the discussion to the implementation of town hall meetings at the company and the value we both get from participating in the. We also discuss how it can be implemented in multiple settings. We talk about the Slido app within those meetings and the difficult (but important) questions it brings to those sessions. More episodes at StacieBaird.com.

C'est parfois difficile de savoir comment on peut devenir et rester amis avec des personnes qui ont une vision du monde et des croyances spirituelles très différentes. Dans cet épisode avec Angela, on échange sur notre amitié et ce qu'on y a appris pour bien vivre l'une avec l'autre avec nos croyances différentes.Les questions ne sont pas vraiment très claires dans cet épisode, puisque c'est plutôt une discussion spontanée, mais voilà les questions qui inspirent notre conversation :Qu'est-ce qu'un ami pour toi ?Qu'est-ce que tu as reçu de tes amitiés avec des personnes qui ne partagent pas tes croyances ?Qu'est-ce qui nous empêche d'être ami avec des personnes qui ne partagent pas nos croyances ?Quelles sont les choses nécessaires pour qu'une amitié comme cela soit saine ?Qu'est-ce qui pourrait rendre les choses malsaines ?Qu'est-ce que tu voudrais dire à une personne athée ou agnostique qui ne sait pas comment être ami avec quelqu'un qui est affilié à une religion ?Et à un étudiant chrétien qui galère un peu à avoir des amis qui ne partagent pas ses croyances ?Et pour conclure, qu'elles sont tes 2 centimes sur ce sujet ?Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

Humanitarian reform, here we go again!? Remember the Grand Bargain or the Charter for Change? Reform is necessary to improve our work, but how do we know it worked? What have we learned from past reform successes and failures? Now we have the 'Pledge for Change 2030', led by a Somalia organisation, Adeso; some of the world's biggest aid and development organisations (CARE International, Christian Aid, Plan International, Save the Children International, and Oxfam International) have signed commitments "to create closer partnerships with local and national organisations in a drive to shift more power, decision-making, and money to the places worst affected by crisis and poverty". You can read more about the Pledge here. Lauren and Teia reflect on what's different (or not!) about these new commitments, bringing, as always, a healthy balance of skepticism and hope. Things we mention: Organisation: Adeso Past reform efforts: The Grand Bargain and The Charter for Change Drink: Longboard Beer (a podcast favourite!)Journal article: Non-profit Quarterly - "Should we cancel capacity building? - September 2022"App: Slido Member of Parliament: James Cleverly Website: ReliefwebMedia article: The New Humanitarian on the Pledge for ChangeFollow us:Instagram: @jrnypodcastTwitter: @jrnypodcastEdited by Teia Rogers Music by Praz Khanal Get Premium Content on Patreon Hosted on Acast. See acast.com/privacy for more information.

Anti-discrimination laws have been with us since the 1960s, but despite this discrimination against workers based on protected characteristics such as race, gender and disability remains prevalent in many workplaces today. This can affect who gets which job, and means the world of work feels very different for different people.  And while there are routes to enforcing these laws – through state enforcement bodies and the courts – workers facing discrimination often find they are far from easy to pursue. How prevalent is discrimination in the workplace, both as a whole and against specific characteristics? To what extent does this align with people's experiences of discrimination at work? How successful are individuals at taking action when they face discrimination? And what can be done to improve the enforcement of anti-discrimination laws? The Resolution Foundation is hosting an in-person and interactive webinar to debate and answer these questions, as part of an ongoing project on labour market enforcement with Unbound Philanthropy. Following a presentation of the key highlights from the report, we will hear from leading experts on what these findings tell us about the prevalence of workplace discrimination and how to improve anti-discrimination enforcement to better protect workers. The event will be open for people to physically attend, alongside being broadcast via YouTube and the Resolution Foundation website. Viewers will be able to submit questions to the panel before and during the event via Slido. Read the report: https://www.resolutionfoundation.org/publications/policing-prejudice/  View the event slides: https://www.resolutionfoundation.org/events/unfair-treatment/ 

Dans cet épisode, Carole échange avec Sophie sur les différentes manières de vivre la liberté dans l'amitié. Elles partagent quelques astuces pour les moments où la dépendance malsaine s'invite dans nos amitiés, et comment on peut grandir dans des amitiés où on a la liberté de déplaire à l'autres tout en voulant lui faire plaisir.Les questions de l'épisode :A quoi ressemble d'après toi une amitié où chacun se sent libre ?Dans quelle mesure la dépendance à nos amis est saine, et comment savoir quand elle devient malsaine ?Comment favoriser la liberté dans l'amitié ?Quels conseils donnerais-tu à quelqu'un qui se rend compte qu'il/elle est dépendant dans ses amitiés ?Pose tes questions sur l'amitié sur Slido. Suis-nous sur Youtube !Suis-nous sur Instagram !

October 21 2022 - Episode 107The Ignite EdTech Podcast with @mrkempnz1. Introduction2. Question for you - What is your current take on face to face learning events and conferences?3. EdTech Tool of the Week - Kaizena4. EdTech Tip of the Week - Feedback from BETT Asia - my first conference  in years5. Interview with Michael Kasumovic6. Win a prize by going to bit.ly/edtechwin and completing the short form7. Subscribe, Rate and ShareIf you have a question that you want answered on the podcast please emailinfo@igniteedtech.comConnect with Mark Quinn here or via email markquinn9129@gmail.com Links from PodcastMichael on Twitter and LinkedinArludoDuckDuckGoSli.doICC22 - EduSpark's First virtual eventIgnite EdTech on Twitter, LinkedIn, Facebook, Instagram

AABP Executive Director Dr. Fred Gingrich provides some helpful hints to assist attendees of the AABP Annual Conference in Long Beach, Calif. We discuss coordinating travel from the airports to the convention center hotels. Attendees can voluntarily input their travel information on this page. You can then find other attendees with similar travel times to assist you in coordinating travel. Pick up your registration pack and name badge at the registration desk located on the main level of the convention center. You can only access the convention center through the main doors located in the middle of the facility, not the side entrance doors. Make sure to keep your name badge with you at all times and not dispose of it on site. In the event of a protest, it is best practice to not engage and completely ignore the protestors.  Attendees should also review the Visit Long Beach page to find businesses that will provide discounts to attendees by showing their badge as well as find activities to attend while in this beautiful city. Make sure to download the Slido app or view in your browser to submit questions to speakers, participate in polls and provide feedback by going to the Conference Feedback & Ideas room which greatly assists AABP in planning future events! Attendees can view the schedule of sessions, meetings and events on this page and add your schedule to your calendar for reminders. If you need assistance while in Long Beach, please contact any AABP staff member or volunteer so that we can make your conference a wonderful experience! Thank you for attending the 55th AABP Annual Conference!  #AABP2022

Our Twitter space: https://twitter.com/i/spaces/1vAxRkDjkpNKlComp Report: https://www.commonroom.io/blog/2022-developer-relations-compensation-report/Slido: https://app.sli.do/event/bxvrMv1yBfycLUh7bL3aaGPrevious episodes:https://mixtape.swyx.io/episodes/weekend-drop-devrel-real-talk-ep-1-ft-justin-garrison-micheal-benedict-zack-hoherchakOur guests: Rebecca https://twitter.com/beccaodelay Nader https://twitter.com/dabit3 Our hosts: https://twitter.com/Chau_codes https://twitter.com/RealChrisSean https://twitter.com/swyx

Show notes and referenced links: https://twitter.com/swyx/status/1553456558264164356Old talk version: https://www.youtube.com/watch?v=IzK4IxHv3W0Join the Coding Career Community: https://learninpublic.org/Follow for future spaces: https://twitter.com/Coding_CareerTranscript[00:00:00] Chad Stewart: I think we should set up the whole thing first in case, people might be coming off the street and they don't necessarily know exactly about the chapter of the book. I definitely think you should talk a little bit about that first. [00:00:10] swyx: I do opinion introduce it. Yeah. Yeah.[00:00:13] That'd be great. Do you wanna give it a shot? I wanna see what what your take on it is. Oh, okay. Yeah, sure. I'll give it a shot. So, [00:00:20] Chad Stewart: So pretty much the idea. Well, so first of all the, currently the chapter actually is at the end of the book. And a lot of you get a lot of, the, you get a lot of other information before you get to this chapter.[00:00:32] And the kind of idea is that, all that other information is important. It's great. But if you don't necessarily know how to implement. Then, yeah, it's not particularly useful. And so my understanding, you of took the idea of hairs, things that that you could use to start implementing some of these things.[00:00:53] And then one of the things that actually really enjoyed really liked I read over the chapter again, just to to refresh myself, was the idea of not everything to use all the time. You have tactics which you use whenever they come up, then you have strategy. Which you use, like you use a little bit more often.[00:01:13] I don't remember what the third one is, but it is like levels of when you use them principles. Yes. Principles. Thank you. When you use them often. So the chapter resonated with me mostly because of a lot of the things that you were talking about is like habits and like laying the foundation for success.[00:01:30] Part we talked about it in the Mito last week in terms of keeping yourself physically healthy, but just also, it's just generally your habits, both your physical habits, like learning, expanding your knowledge, networking, interacting with people it's just having that foundation laid out so that, leveraging the other topics of the book was is what you call.[00:01:53] It was easier. I know we had that, this kind of discussion about about maybe putting it earlier in the book, but that's the reason why I decided, Hey, maybe this would be the first thing to talk about because this is something that, we talk up in the industry, but not really, yeah. So just wanted to talk about [00:02:11] swyx: anyways. Yeah. That's a great recap. Yeah, that's fantastic recap. Okay. Job done. Thank you everyone. Yeah. Wow. And you didn't even I didn't even tell you I was gonna ask you anyway. I just love hearing about it from other point of view.[00:02:23] But yeah, you can see how it's weird to put it at the front of the buzz. I have to go through and set up all the context first, which is like 39 chapters of random shit. And then but, and then I come in at the end with a really strong chapter. Right. But I think my reflection is like, Imagine you would hand it the golden book of advice.[00:02:42] Like maybe my book is like not the golden book of advice, but maybe someone else's book in book of advice. Can you convert that advice into results and the chances are, is it's no, because it's not really, you're not really lacking for advice. You're really lacking for systems to implement that effectively in your career, in your life.[00:03:03] Right? To actually put things in action and follow through on them. It's not ideas, it's execution, it's not motivation, it's discipline. And so like it's really boring blocking and tackling stuff. But then I felt like if I did not talk then everything I, everything else I talk about is a complete waste because like this that's the real sustainable advantage.[00:03:24] I think for sure, I was very influenced by atomic habits. Like you can have all the fancy trading strategies that you want, but ultimately, your net worth is a trailing indicator of your financial habits. Did you save enough? and, did you did you did you put did you pay down the interest rate on the things that you're supposed to pay down first before chasing the investment in other categories?[00:03:48] And I definitely feel like, when people give high level career advice, they tend to overstep in terms of the high stakes, the very dramatic, the very flashy, the very sexy, or very smart sounding ideas. And there's just the boring, like eat of vegetables, versions of the ideas. Isn't talked about enough when actually it is the predominant.[00:04:08] Thing to get right. So, yeah. Oh, go ahead. Go ahead. Sorry. I cut you off. Oh, no, I see you also join on your personal, so, I'm talking to two CHADS. Oh [00:04:15] Chad Stewart: yeah. One that's a duck and one that's an actual person. Yeah. No, so I would, I, so I do agree with you. But, and I guess it's I try not to say too much about the, on, on like you're delivering the chapter as opposed to the chapter's contents itself.[00:04:30] But like I do agree that, like the thing that everybody's interested in, like you said, the gold as you put it is definitely. The, what you call it the flashy advice, the, this is how you negotiate your salary. These are the technologies that you choose, as opposed to the eat, your vegetables as you call it version is, get up every day and code, get up every day and read tech, tech news, or get up every day and network, specifically the phrase network, where network is just this bland, instruction that you're, that [00:05:02] swyx: everybody gives, know, which network what you supposed to do when people say I'm gonna get up to date end network.[00:05:06] What is that? I [00:05:08] Chad Stewart: have no clue. I just, I say it all the time. And then I sit down and okay, what am I supposed to do? Ha [00:05:15] swyx: oh, but so my version of that right. Is to learn in public. Right? And I know, this, so, like it's weird to come to, to reach out, to let's, here's an unenlightened version of networking, which is.[00:05:26] You're just, you're gonna go out there and you're gonna look for some industry mentor and you're gonna cold email them and say, please, can you be my mentor? Which is an unspecified job of indeterminate length for no money. So good luck. But if you learn the public you're putting your interests out there, you're you progress out there and people can help you with specific dimensions and you can build your network that way by building up assets of value that you exchange for something else.[00:05:50] And I think that's a really positive some way to network and I highly encourage people [00:05:54] Chad Stewart: to do that. Yeah, no, I definitely agree. I definitely agree. And I guess like that's like the going back to the operating system of you is like the more kind of boring part, because that is something that you have to do all the time, it's the grind, right?[00:06:11] Like everybody is trying to tell you to grind, but they don't necessarily tell you. You know why it's important and they don't tell you that it gets boring. Well, I guess it's implied that it gets boring, but, but yeah okay. You know what, I'm just going to say that. I think anyways, you think [00:06:26] swyx: what [00:06:26] Chad Stewart: kind?[00:06:27] Yeah. What do you think? No, I was just like, I just, as I was thinking, I just hit a roadblock in my head and I just like, yeah, no. [00:06:33] swyx: Okay. That's an action cancellation, when you're playing fighting games and you're doing something and you're like, oh, Nope. oh, you on the path I want to go down.[00:06:44] Yeah. Yeah. Okay. Yeah. So, there's two things. One is keeping going through the daily grinds having good habits, letting them compound part of that is, your physical body, part of that is your mental. Your mental storage space, so, we talk about sleep.[00:07:00] We talk about building a second brain and then the third section is building a scheduler which is how do you take on multiple tasks and multitask prioritize them and then try not to drop any tasks. I think that's a very foundational skill, I'll talk about that. But the last bit I really which is to keep your kernel alive, which is the process zero, the kernel that, the process that schedules other processes.[00:07:23] And for me or for most developers that is some concept of drive, right. If you lose your drive, you burn out. And I think something that maybe a lot of people don't discuss is yeah, like there's a lot of burnout in the industry and that's of game over You talk about the differences between lasting in this industry five years versus 50 years, like it's basically, do you have a love for programming?[00:07:43] Do you have a reason that you do what you do? And I think I tend to try to remind people that it is not about chasing money. It's not just about chasing money. Money's good. But there, there can also be a higher purpose to the things that we work on. [00:07:56] Chad Stewart: I definitely agree. And I guess of going down the it's not about chasing money, it's not, so I guess my thing is, it's less about, you want to chase the thing that interests you.[00:08:08] You know what I mean? Like I, and I think that's something that like, especially in the industry, we do a really good we do a really good job of telling people that these are the things that are important and pushing up the things that they are interested in, yeah. So say, like for instance, you're just a front end Devrel and you love doing UI UX, but everybody just convinces you that UI UX is not the thing to do by the way.[00:08:33] I'm just picking this because probably because I'm most related to it, not necessarily the situation, but just the anyways. But yeah, like this is your thing, but everybody tells you, oh, you really need to get into the cloud. No something else, right? Like it's backend engineering and you do that and you get good at it, but it's not the thing like that will eventually lead to burnout as well.[00:08:58] Like it's really, at least my understanding of burnout is really when there's like the reward that you're getting for the actions that you're doing, don't match with the rewards that you want. That's probably a bad description of it, but yeah you know what you're getting versus what you actually want.[00:09:18] If those things don't align and they don't align for long enough, then you know, you just don't want to do it anymore. You're not getting properly rewarded. Yeah. For the things that [00:09:27] swyx: you're doing. Yeah. That's that's the burnouts phase. I feel like I had more to share that, but I always like to turn into a discussion, where this is an open discussion.[00:09:36] If people want to raise their hands and talk about, any of these concepts the, from the physical, to like the brain stuff to scheduling and to burnouts, we can always have that open . actually got some feedback from one of my previous spaces that apparently people can't really raise their hands until they're invited.[00:09:52] I'm not sure how this works. [00:09:54] Chad Stewart: Yeah, I'm not necessarily sure. Either. Like usually, so like you have a request button for people that are new to spaces, you have the request button and then that will tell us that you're you want to come up and then we can bring you up and then you can like, raise your hands and stuff like that.[00:10:10] I also want to point out I forgot to, to say this, but we have a link as well for a Slido. So say for instance, you actually do have a question and you don't want to necessarily come on stage. It's you can go to the Slido and just ask your question there and monitoring that. So the link to the Slido, if you notice that there's a tweet at the top of this space, we call it jumbotron.[00:10:34] The tweet has that link to that slack. Ah, there it is. Test [00:10:38] swyx: question anonymous. Yeah, that was me. That was. Oh, you see, [00:10:42] Chad Stewart: it's anonymous. You're supposed to not let anybody know. Oh, right, right, right. [00:10:47] swyx: Okay. Whoop . [00:10:49] Chad Stewart: Yeah. So feel free to do that as well. But yeah, this is this kind of an open ended que even though spaces are ne not necessarily, I guess you have to cultivate that, but yeah, this is a open ended space.[00:11:02] So if you have any questions, feel free to, to jump up and ask them, just ask them however you want. Like even feel free to to tweet at the tweet. [00:11:12] swyx: And I'll monitor that as well. This new chat feature in in Twitter. So we can try that out. Okay. So maybe I'll put it this way. Yeah. One thing.[00:11:21] One thing, one thing I wanted to offer is I think that there's an there's an image that I think you said in your recap resonated with you a lot, which is that we have principles, strategies, and tactics. We talk about the sort of three levels of applications that we offer or that we think about principles are always on.[00:11:40] Chad Stewart: Are you still there? [00:11:41] swyx: I feel like Shawn. Yeah. So strategies are like big apps. You constantly run them. Right. And you always all your datas in them. So you take your time to choose. It's like slack or discord notion of OneNote. F sketch is like a big, bigger decision, but tactics are like utilities.[00:11:55] So they're one off you, you picked them up when you need them and you drop them when you're done. So, and I really one of the big breakthroughs was really. Seeing that it align to your job strategies, align to your career and principles, align to human life. And that's the individual scale at which each of these things operate.[00:12:15] And to me, that was like when I realized that I was like, oh, okay. Each of these things apply on different time scales. And part of the joy of being human is, or having operated, have to operate all these things at once. [00:12:25] Chad Stewart: Yeah. That's really interesting, actually. Never really. I mean, I have thought about it, but not necessarily to that level of, like you said, the utilities are the things that you pick up really quickly and you leverage really quickly.[00:12:38] And then, like it's, I've just never thought about it in that kind of timescale that I thank you. I really appreciate, I'm really happy. [00:12:45] swyx: This is recording. I'm like in general I, I actually feel like there's a lot of things we can steal from computer science to run like the rest of our lives because.[00:12:54] It's and this is not a new thing. And there's a book called that tries to take a stab at this, but I think doesn't go far enough. Like one of the things that I did not end up writing about was how we do hyper parameter tuning for machine learning. And it turns out that there is a perimeter that you can tweak to essentially say how excited you should be by progress.[00:13:21] If you make some progress, how much more aggressive should you be? I think it's the alpha perimeter, but I mean, it doesn't really matter what you call it. If you tune it too high, if you tune it higher, you'll learn faster. Because if you have, if you try something, you have initial bit of success, then you're like, okay, screw it.[00:13:35] I'm gonna do 10 X more, whatever I just did. And then you're like, okay, I have 20 X more success. All I'm gonna put a hundred X more than whatever I just did. And then you find that there's a usually converge on a, some local global minimum. Minimum is a good thing in machine learning. And, but I also find there's some grads in which you can overshoot by being too excited about stuff.[00:13:54] And the fact that you have this result in machine learning that you can apply to normal human learning is actually fascinating. So I, I feel like, basically what I wanna do is take computer science learnings and apply their analogies to life. So I don't know if I lost you there [00:14:09] Chad Stewart: no.[00:14:09] I'm so I'm trying to kind imagine that as well. No, I'm just I'm listening. I'm trying, you know what, I'm not gonna lie. Some of it did go over my head [00:14:17] swyx: but it's very thorough. I feel I need to draw it out, but like at the same time, that's the point of podcasts or Twitter spaces, you can just mouth blog, the stuff that.[00:14:26] You don't dare to write down cuz it's not fully . [00:14:28] Chad Stewart: Right. And then not only that you can kinda get people's opinions on it. So like I would, so my immediate thought is that yeah, you you want to tune that, but I would also say you're not let to necessarily get it perfect. And it's just like about being constantly improving.[00:14:46] Yeah. Or, so you don't want to, you don't want to chase perfection because you chase perfection and you're never gonna get anything done. Whereas it's this is good enough for now. And then when you either have time or when you want to, at some event you decide to make improvements.[00:15:02] Right? Yeah. And the thing is you want to make improvements, but you don't want to make improvement often too much and you don't want to make improvements too little, [00:15:12] swyx: Yeah. So, so we have a principle, right? Good enough is better than best. Stop looking for things that are best because that involves obsessing over benchmarks, carrying what influencers think, keeping up with everything new.[00:15:25] And when you obsess with good enough, you turn from the external facing point of view to the internal painting. Point of view, you focus on what you need done. You focus on what you need, well, and you focus on what you enjoy and once you hit good enough, move on. And I feel like that's a fundamentally healthier with life, I guess.[00:15:41] Yeah. Yeah definitely agree. Question. Oh, so thanks for, so whoever submitted that Slido that is our first submission. So we do have a Slido pinned to the top of the thingy, the space. Yeah. Twitter should just build this instead of building like co tweeting or or like the hot take reaction button or whatever that is which I'm also very.[00:16:03] Kind of miff that I didn't get, but whatever, like it's just real, it's just like a really weird feature. Nobody wants to run that company going on. There's no adults supervision going on in, in that company. So the question is, what are your favorite calendar hacks. Do you have any chats?[00:16:19] Chad Stewart: I don't know, so, okay. I guess, let me think. Man, because my whole calendar strategy is, I don't even know if I wanna call it a hat, but so something that I do is that I will make a calendar event. I don't know if it's a hat, but I'll make a calendar event. And I always make the calendar.[00:16:35] I always make the event also happen like at 8:00 AM in the morning so that, my day starts and it's oh, okay, I have this is the stuff that I want to do today. And then it will tell me obviously when the event is going to actually happen. And so I set an alarm on my phone for that time, but I set it for the, for 10 minutes before, and then I just hit the snooze button.[00:16:56] I don't know if that's helpful, , but like it, I'm just like it. I very rarely miss meetings because of that whole setup, [00:17:01] swyx: yeah know. Yeah. That's super smart. I wanna offer the operating systems analogy, right. Which is amazing. We, for someone like me, I, I never really did an operating systems course, but I just I pulled up, I watched some lectures and I pulled up some texts on that and just read the basic, overview of stuff.[00:17:20] There are scheduling algorithms for processes and it, and one of these I wish I could show an image here. I can't really show an image. So there are three main things that you wanna have, right? You wanna have a single source of truth to store all the queues that you're on the task uses that you're accumulating.[00:17:36] You wanna be able to prioritize, so you need some kind of garbage collection slash planning period. And then you need to batch work. So you reduce context switching. So, the first algorithm. Is basically just process scheduling queues. And I'm just gonna read from this slide. It says process migrates among the queues throughout this slide.[00:17:52] So, I have an image here of what a CPU does to do scheduling or what an operating system does is do scheduling has a ready queue in IO Q and it waits for child execution and it waits for interrupts. And those are. Analogous to the types of things that can come into and out of our operating system and the next task, I think is really interesting.[00:18:11] There most job pool systems have a long term scheduler versus a short term scheduler. So you can, you have a long term storage of jobs. You pop some off into a ready queue for your CPU, which is. To process. And that goes from long term to short term. And once your short term scheduling is done, you put the, put it back into either your exit or if you can't finish it, you put it back into a waiting queue.[00:18:34] That's just such a really good analogy for the stuff that you have to do long-term versus the short term and to manage it really well. There's more than that. There's like other decisions. There's also ways to decide about scheduling. So for example, you can design by requirements, you scheduling criteria, you wanna maximize CPU that utilization and you wanna maximize throughput.[00:18:53] In other words, you wanna maximize, the amount of resources that you're, that you've utilizing, and you wanna maximize the amount of work that you're doing. You wanna minimize turnaround time. You wanna minimize waiting time. You wanna minimize response time. In other words, like when people rely on you, you want to have your operating system work and in such a way that they get response in some kind of minimum as LA.[00:19:12] All of these are just like very reasonable requirements if to design for, but because we don't really design our own operating system, we, the emergent property is that, well, sometimes I take two months to reply to an email cuz , cuz I'm still working on this. But I think having.[00:19:26] Desirable properties and then working backwards, scheduling algorithm is, can really help. There are, there's a whole like library of them. I'm just gonna read some out for people to search there's round, rubbing round Robin scheduling, shortest job, first shortest, remaining time priority scheduling first come first serve.[00:19:46] And then the most complex one, which is multi-level Q scheduling. Those are the in terms of my sort of research. Those are the scheduling algorithms that I researched. I don't know. Does any of those appeal to you? ? [00:19:58] Chad Stewart: It's hard for me because I'm trying to imagine like literally the process, and as you were mentioning, like you have a lot of the kind of images I'm trying to imagine.[00:20:06] A lot of the [00:20:06] swyx: processes it's got for audio only medium. Maybe I'll tweet it out and then I'll attach it to the, I was [00:20:14] Chad Stewart: about to say the same thing. I was about to say the same thing. It's [00:20:16] swyx: just okay. Yeah. No. Go ahead. Go ahead. Yeah. Well, I'm just like, I think like whatever this is we should research the, like scheduling the philosophy of scheduling or the algorithms of scheduling are not limited to CPUs are not limited to operating systems.[00:20:30] Like we could just use them for ourselves. Why don't we use them for ourselves? That seems right.[00:20:38] that seems weird. So, so yeah, I mean, that's my essential assertion and I've been researching this for a while. I've got one more, but if no one, and obviously if anyone has like comments on scheduling systems that work for them you can jump on in. So, you want to work on all these prioritization.[00:20:53] There's a really good article from Sarah ner. It's basically on prioritizing how she works on that. She used to be my boss at nullify. And she says lately I've been working on grouping similar tasks. For example, meetings should happen in succession because it's easier for me to jump from one to another than it is having an hour in between.[00:21:12] I'm more keen to communicate with others on Monday when I'm getting the lay of the land towards the end of the week, my energy is higher. If I'm dedicated to coding, especially if I've allotted uninterrupted time. So essentially what she's telling you is like she's observed herself, what she prefers to do during the week.[00:21:26] And then she's allocated her calendar accordingly. And I saw that I worked with her. I worked for her and Thursday was her. And blocked day to, to work on individual projects. And Monday was the was meeting day. And I definitely think some of 'em are batching actually helps with scheduling because of contact switching and also adapting your own task to whenever you feel like you're most, you're most attuned to finishing them.[00:21:48] So, I thought it was really useful. The article, I think is CSS trick.com/prioritizing still one of the best prioritizing articles I've ever read. I should be tweeting this up, but like, where do I attach it? Do I attach it? [00:21:59] Chad Stewart: So when you tweet something it's weird, when you tweet something, you have to go and then you click the share button in the tweet.[00:22:07] And one of the, one of the options is this. And then you'd be able to put it up in the jumbotron, but it's funny that you mentioned that cuz there is an actual question here that was talking about how do you keep from changing focus too quickly? And I think you did a good job of, of talking about that to be quite honest with you, like act I would even go as far to say that's something that I struggle with even though to be fair.[00:22:33] I'm actually fairly good at context switching, but I never I really think about my week I'm like the furthest I would go is like my day. Like I'll just organize my day in a sense, and I don't necessarily organize my entire week in terms of my level of energy throughout the week.[00:22:52] Oh yeah. It's just always this assumption that my, my level of energy is going to be the same unless an event happens, [00:22:59] swyx: so the most opinionated advice I've been given. So, now that I'm a manager. Is it's weird to have opinions on day of the week. Like what you should do on the day of the week.[00:23:09] It's like they be the same as Friday. Obviously not cuz like Friday, you're like close to weekend. But they're like schedule your one-on-ones earlier in the week because if you need to bump them, you can bump them later and it's still the same week and I'm like, wow, to have such strong opinions on this.[00:23:24] This is is pretty special. So I think that's definitely true. We have Fridays at air by as well. So I think that's, that can be really helpful. And yeah, just scheduling focus time for shipping long projects and then scheduling, scheduling, meeting times together.[00:23:36] I think definitely is very useful for for batching. No, I definitely agree. [00:23:40] Chad Stewart: Oh, sorry. Go ahead. I cut you off. [00:23:42] swyx: Well, calendar there. There's one person saying calendar hacks, right? I think I would be remiss. I didn't mention the ultimate calendar hack. If you do a lot of external. You should use ly.[00:23:52] I uses cow, which is a ly competitor. It's basically the same price, same it's got slightly different features. It's got slightly nicer design and it's by Derek Reimer. Who's a indie hacker. So I just choose this indie hacker that I know compared to a $4 billion giant. But yeah, I think the stigma around can Lee has gone away despite what some venture capitalists mentioned.[00:24:13] And it really saves time scheduling, with the email ping pong of what type available, if you're three times that might work for you, so yeah, that, I guess, as far as hacks go, I think that's a big one. [00:24:23] Chad Stewart: Yeah. I definitely agree. I, which is funny.[00:24:26] I don't even use it as much something I've seriously been contemplating mostly cause I had a lot of people kind reach out, but yeah, I definitely agree with that. So something I also, which I actually struggled with, I would also like kind having just one place to view your entire calendar.[00:24:42] Yeah. So if you have a personal calendar, right. Because you may have a work email, like that is also a big deal as well, just so that, you, don't schedule something when you just simply couldn't see that you had another event, even if it's just like I have two calendars now, one for work and then one for my personal thing, and for whatever reason, it just says busy, doesn't say the actual event, that definitely has been like big [00:25:06] swyx: help as well.[00:25:06] You can tweak that into settings. So yeah, I have it set up so that my personal reflects onto my work and yeah, I try to manage, sometimes I get double booked, which is very annoying, but I mean, it works. I wish Gmail would make it more native. Cuz sometimes I have lesser use emails for business stuff. And sometimes those have calendar events. it starts to break down after a while. yeah. Yeah. Oh, go ahead. Calendar hacks. Well, so there's, there is an app called I think it's k.com. It's a, it's one of those YC sort of superhuman for calendar apps. I haven't personally used it, but if I just wanna mention it, cuz it always is in the mix when someone else is talking about this.[00:25:46] Oh, it looks like they got a corporate notion. Oh, not too long ago. Last last month. Interesting. That is either positive or negative. They didn't mention the price. Interesting. [00:25:57] Chad Stewart: That's like the exact, they do exact same as, I don't know, [00:26:00] swyx: to see it's an IDK, but if they were yeah.[00:26:03] Whatever. Anyway, I think I applaud them for trying. I think there are a lot of people also trying to do AI scheduling for for your calendar. So if you just plug it in, they will try to find the best slots for you and optimize your meetings. I haven't really heard from anyone who's used that positively, but I think there are all these people trying to do time block planning for you.[00:26:21] I tried AKI flow for a while, which is a really good time block planning app. It was just a bit too resource intensive for me. And I've given them that sort of performance feedback. Ah, okay. I wanted to throw before we get off this calendar hacking, cuz that there's been a couple other questions that came in on the Slido before we get off the calendar hacking I wanted to go through what I got from calendar port.[00:26:40] So for those who. County Park's fairly famous. So it, I, first of all, I find this his distribution strategy. Very interesting. He very famously does not use social media. But he just writes really good content and then lets other people on social media tell others about him. So I feel like in doing this on this space, I'm of doing his bidding.[00:26:59] It's weird, but it's just a good idea. So I'm just gonna share it. So, he has a podcast. So counterpoint is the, is a computer science professor, but also an author. He wrote deep work, which a lot of people know him for. And he has a podcast called deep S where he goes a little bit more into the ideas behind his book, by the way, every book should have a podcast.[00:27:17] Every book should have a community because then you can engage more with the ideas. It makes you reading much more worthwhile. That's why I do this unity thing. But anyway, so, he actually imple, he actually came up with a genius implementation of how to get control of your time.[00:27:32] It's I think a lot of the scheduling comments and ideas, especially the stuff that we just said, it's oh yeah. I've read it uncles like these. And I, my life hasn't really materially changed cause I don't really have a game plan to implement them in my life. And so he gave it a, he gave it a shot.[00:27:45] He actually did a Dave Ramsey style list of baby steps. Like a seven step plan to. Get control of your life. And I think this is episode 180 4 for people who want to listen to it. I have it clipped on my own mix tape. If you wanna go to Swyx mix tape, or you can go to his podcast but I'll just give you a preview for those listening of this, because I just thought it was so good.[00:28:08] And I thought it was so well matched. The scheduling analogy that we are setting up for the operating system of you. And I just, I cannot think of anything better because he'll even sequenced it correctly all, so let me just get into it. And then we'll talk about the meta. So the first step outta seven is time block planning, give every minute a job, right?[00:28:23] It's no use piling up task in your to-do list. Because you don't ever have a plan for when you're actually gonna do it. So you're just gonna accumulate a giant back level to-do list. You're gonna feel guilty about yourself, and then you're gonna eventually start over and have a new list because your oldest filled up with too much.[00:28:38] So time block plan is basically saying, use your calendar as your to-do list. I have about this, that I can go back and pin, but I think it just makes a lot of sense. If you don't have a plan for setting aside time to do a thing, then you don't have a plan to do it at all. Great.[00:28:50] So I, yeah, I, which is like super brutal, right? I just I mean, it's a lot of work, but I'll put things like read, article on, in a five minute, 10 minute block on my calendar. And that would actually work. I'm pinning it now to the channel. If for those who have never heard of time block planning he has a book, I think he's called time block planner.com.[00:29:08] If you like to, every productivity influencer eventually sells you. A journal of blank pages, right? Whether it's the bullet journal guy, whether it's like the, the time block planning guy, everyone's like, how can we sell you a book of blank, empty pages and make you pay like 23 bucks for it.[00:29:25] But I think it's, , it's worth it. But this, I mean, it's not really about, obviously it makes more money elsewhere, but I just think it's funny in the evolution of influencers, like eventually you shall grow up to either sell your own burgers. If you're Mr. Beast or you shall sell your own productivity planner.[00:29:40] So, so that's the first part of seven, which is time block planning. I think that is a really good baseline to get into the habit of planning out your day consciously and. Making sure that you have space to do the things that you sign up to do and to drop or schedule elsewhere, and the things that you don't have time to do.[00:29:58] Then the second thing is to set up task boards. I think this is biggest Trello a bunch of boards keep track of every task. And in other words, you need to stop drop, right? Like anytime anyone has any expectations on you or you sign up to do anything needs to go somewhere, needs to go in a trusted place, needs to go somewhere, cross platform that you'll see it and you'll address it.[00:30:15] You won't just leave it hanging. And for him, like one, what the value add for him here was he actually gave suggestions on what passports to have, because I think you can have way too many. And that starts to be really really unmanageable as well. So he has four, he has this week, he has ambiguous, he has major projects and he has waiting to hear back.[00:30:35] And I like, I really liked that last one waiting to hear back, which means let's say I do a task this week. And I'll do it. And usually it depends on someone else. Right? Usually I'm like, I'm sending email and I'm like, all, this is long-term project and I'm done with, it goes off my board. And then let's say the other person drops my task.[00:30:50] I don't have a process to go two months later, I go Hey, wasn't I, well, they're supposed to get an email for this and stuff to gets dropped and doesn't get done. So you move a task once you're done with it to waiting to hear back column if you're relying on someone else. And I think I think that's a really fascinating system that that sets this up.[00:31:06] But you realize like this is the first time you start to intersect between long-term planning and short-term planning. The time block plan is for your individual day and the long the task board is for your, your weak plus minus you. Two to three weeks. And I think that makes a lot of sense.[00:31:20] In other words there, there are a lot of things where you cannot use your calendars, your to-do list, cuz like you don't particularly have a time to do them when so you just set up a task board and then and when you do your weekly planning, that's when you move your task board into your calendar, your daily calendar and you set aside that stuff that you sign up to do that makes just a ton of sense.[00:31:38] I, I, when I looked at this, I was like, oh yeah. I mean, out of all the productivity systems that I've seen, like all them were too complex. I couldn't really keep up with that, but I can do these two steps. The third step is full capture. So for him and this is very much a getting things done GTD which is the.[00:31:56] Manual of the of the productivity industry. It's by David Allen. David Allen is a podcast where he airs the entire audio of his GTD workshops, where people pay thousands dollars to list to it. And I've been of going through it. It's really super long, but his examples are super good and it's all free.[00:32:12] So why not? If you want to, if you wanna, if you're interested in getting things done and who the hell is not interested in getting things done it's such an fantastic name. I wish I thought of it. Third step is full capture it. By the end of every day, every obligation has to be out of your head in a trusted system.[00:32:26] What are your trusted systems? There are three trusted systems that he has. One is your email inbox. Two is your calendar. Three is your task board. It should, nothing should exist in your memory because you, your memory's unreliable and you will forget. And you and so I just think like establishing this as a harder task role, it's just such a good thing, because then you have a clear mind to have your personal life.[00:32:45] To enjoy yourself to do go do whatever, because you can pick it up again when you get back to work, but otherwise, how do you enable work life separation? If you're thinking about work while you're still in the rest of your life, like you need to unload. And it's of like a weird operating system thing where, you know, when you spin down your container or whatever, you wanna save your state.[00:33:03] And I think those trusted systems are super. I'll go through the last four really quickly. Four is your weekly plan. So going from daily to weekly at the beginning of each week, build your plan for the week block time for your critical things and make your daily time block plan.[00:33:15] Five is your strategic plan. So now by by stage four outta seven so let me recap. The four first is time block plan two is set up task boards. Three is full capture. Four is weekly plan. So by stage four, outta seven, you should have your week in order. Like every. You should have a plan for that week.[00:33:31] You should you should be much in a much more productive phase in your life because you, or at least know, what's going on. You're being proactive about your time. Five is your spend setting your vision for your professional life on a court annual basis, five year basis, 10 year, 20 year, 30 or 40 year.[00:33:46] And it then eventually feeds into your weekly plan. So this is much more strategic thinking. Six is automate and eliminate. So this, like he leaves the automation step all the way to the end. So basically saying I will source it to an executive assistant if I want to I will reduce the round of context switching by trying to batch stuff like this is off, we talked about with Sarah ner will say no to things that we've signed up for.[00:34:05] And when I look at the totality of everything I want to do, this just is like priority number seven and add to it. So. Let's just not beat around the Bush. I'm just gonna say no to this. Right. And leaving and stepping away from stuff is the most high leverage thing you can possibly do, because that gives you more time to focus on the things that really matter to you.[00:34:22] And yeah, I mean that, that is so brutal, but it's still clear. And then finally seven out of the seven step he says, go for it. Like basically once you have control of your time, take more ambitious projects at big swings because that's the way to build a fantastic career. So, what do you think the seven step plan?[00:34:37] Chad Stewart: No, that's pretty, so, I alright to be, I was trying to absorb as much of that as possible. Like definitely. What was it for me personally, I have the biggest issue with like I do. I have a lot of things that kind of live in my head and I try to put as much of it as I. In places as possible, but to be quite honest, a lot of it still lives in my head, same, and so definitely that's the thing that resonated with me the most. The second thing to be quite honest also is giving once you have everything, when you see like the priority of things that you have, no, being strong enough to be like, look, this is just not going to get done.[00:35:18] I can't get this done. And to just freeing up your time, because I'm definitely one of those people that will be like, Hey, can you do this? Yes. And I will grit my teeth. Yes. And do it anyway. And I just don't have a lot of time for myself. Like me personally, I'm trying to learn more system design stuff because that's my interest.[00:35:39] And I find that I do a lot of my system design stuff at nine 30 at night when I'm trying to get to bed at 10, you know what I mean? Yeah. And I'm like struggling through it and I, I keep up the habit I'm doing it, but, I don't feel like I'm retaining anything, but at the very least I'm keeping up the habit, like it's, that's wasted in my opinion or potentially right.[00:36:01] Because I don't retain anything. So definitely just I don't have the time to do this, please, [00:36:08] swyx: you're gonna have to figure that out. This is the fine art of making time, which is fantastic. Okay. So yeah. So first of all I, and I had, I got a little bit better about this over the past two years.[00:36:17] So you must have an app in your phone that you can just dump notes to yourself. It's, it must be offline first. It must sink every. And you must trust it kinda completely. Right. So for me, it's my second brain. Which I use obsidian for and sings the GitHub. So I know if I ever lose it, if if anything, any data ever corrupts, I can just go to GitHub.[00:36:37] And I think you can use notion for that. You can use things, you can use apple notes. Doesn't really matter. There's this meme, actually, this week, you saw that meme, right? The apple notes meme. It's the tools for thought people you start on with the low IQ people using apple notes, and then the mid IQ people start using.[00:36:54] I don't know, Rome research and obsidian, the things . And then the really high IQ people just back to using apple notes again. I think that kind of makes sense for sure. Jack Dorsey talks about his to-do list and he keeps it in apple notes. And if that guy can run his life on apple notes, why can't you[00:37:11] So I mean, not that I hold him up to be like the Paragon of, of human being, but you can't deny that he's been successful. Right? Right. He has a don't do and don't list. I feel like I clipped this before, but I'm really gonna have trouble pulling it up because I clipped this a long time ago.[00:37:29] Maybe I'll just Jack Dorsey, maybe I'll oh, no, I don't have that. Jack Dorsey don't list. Yeah, won't do list. Okay. Okay. Yeah. It's just Google Jack Dorsey. Won't do this. He talks about this in 2018. And I just thought he's just fantastic. Oh, here's this here? He says, okay. It's apple notes.[00:37:45] Oh my God. Okay. He says today, do meditate, workout, tweet, aggression, read, write, consider, follow up. Won't do alcohol, just decided on, he just has a list of like stuff that he just won't do. And, it looks like he's so, he's just always every single day, he just wants to not do alcohol.[00:38:04] And I think that's a super useful question. And then for and then he falls, he finishes off his day with daily questions. What truth did I discover? What am I grateful for? And who did I help? I, this reminds me of actually Benjamin Franklin. Like at the end of his day, he would talk about what good I, what good did I do in my day today?[00:38:20] Like how did I benefit humanity? And I think like having that reflection and consciously living towards. Some small set of purposeful goals, like really helps to align yourself. [00:38:30] Chad Stewart: Definitely agree. As you were say, as you were saying, all of that, the first thing that kind of run to me was atomic habits.[00:38:37] And how one of the stories that the author told was James clear. One of the stories that he told was how he had a friend who was trying to lose weight. And one of the questions she would ask herself is what would a healthy person do? And that effectively became the guide the guide for her.[00:38:57] Not necessarily her life, but her weight loss goals is that she would just always ask that question and it made it more of an intrinsic motivator for her. I, I know in the book he has like levels of, I don't know if it's motivation, but it's like where you want.[00:39:11] To get the drive, to push yourself to do habits. And you have things that's you, your ex, when you have an external motivators, like you want money, you want fame or you want something to pull you towards it. And then when you like the, what he's getting at is you should be more intrinsically motivated where it's you want to be pushed by an idea.[00:39:32] And then that idea is the way you think about you both approaching the world in a sense, yeah. So I, that was like the thing that kind of run out to me as you are, as you're going through the list, it's also very interesting that he that Jack Dorsey takes the time to be grateful.[00:39:48] I feel like that's something that we tend to be very forgetful about, is just like a lot of the times where we're in a very privileged position. Like not to say that everybody is in a great position, but we're a lot of times we're in a very privileged position and is just like being grateful for all the things that we already have, while still trying to achieve more.[00:40:07] It's just interesting that he has that. [00:40:10] swyx: Yeah. Have you, have I read you my favorite quote on motivation and intrinsic pharmacists. Okay. Let me attach it to the tweet so that other people can read along. I read this four years ago and it really. Has guided a lot of my career choices as well.[00:40:25] By then, so I've just pined it up for those following along. And it's from Dan Pink's drive and he calls it extrinsic promises, destroy intrinsic motivation. As children, we are driven by our inner desires to learn, to discover to help others. But as we grow, we are programmed by society to need extrinsic motivations.[00:40:43] We take out the trash, we study hard, we work tirelessly, we'll be rewarded with friendly praise, high grades, and good paychecks slowly. We lose more and more of our intrinsic motivation because extrinsic promises destroy intrinsic motivation. And I'm just like, wow. Yeah, like how much do I, not how much do I do anymore?[00:41:01] Or don't do because no, one's paying me to do it. So I don't do it. And and how different is that from kids who are like, yeah, this looks fun. Let's just go do it. Let's just write out, [00:41:10] Chad Stewart: yeah, no, it's, to be honest with you, I would even go as far as to say that The way I do everything is I guess it's chasing that original kind of ideal of this is just something interested in doing, and I'm just like, I'm just trying to put position my life in a place where it's I can get back to maybe not necessarily reacting oh, this is interesting.[00:41:29] I want to attempt this, but I have all of these other things I have to do, I have all of these other responsibilities or just things that I said that I, well, I guess, responsibilities. So I was just trying to getting back to that, but yeah, it's. Yeah, [00:41:43] swyx: definitely. Cool. Cool, cool.[00:41:45] Did we talk about what keeps you, so we're going back to questions on Slido. Let's finish these out. There's three more questions. What keeps you from changing focus too quickly? Do we talk about that? Yes, that was like things we talked about. That's cool. It's cool. If anyone has has follow up questions, obviously feel free to chat.[00:41:59] Let's go with some more can you share some examples of how you specifically implement operating schedule OS scheduling concepts into how you design your week advances task and doing, thank you. Yeah, so, I think we talked a little bit about the planning phase for, if you, so I listened to the manager tools podcast, and I listen to county reports podcast, and mostly you wanna do your planning on.[00:42:20] Monday morning, you only plan a week out. Right. And part of that is going to be determined for you. You have weekly standing meetings, try to have one-on-ones earlier in a week. And then towards the end of the week, try to do what they call a 15, what they call a 15 five writeup, which is essentially sum up the week in 15 minutes so that you yourself or your manager can look back and track like what, your progress and how you think your week ran.[00:42:46] We have a limited amount of these things, and I think it's incumbent upon us to not let every week go by business as usual going feeling three outta five, instead of a four outta five or 505, like you wake up too many times in the same day, in the same week and are not excited about what you're doing, then we need to start changing that.[00:43:02] Right. So I think for me, that. Well, one thing that I'm part in particularly working on right now in terms of operating, scheduling, operating schedule concepts it's very much the queue thing, right? So I tweeted out earlier it's pinned up here on, on the tweet stream, but having those task boards are basically, which are basically task queues is exactly how an operating system would work.[00:43:23] And you need some sort of scheduling algorithm to prioritize them and take them off of task use into your short term task list, which is the linear sequential list of things you're gonna do throughout your day. EV every single one of us has 24 hours. We hopefully work eight, I don't know, eight to 10 hours a day.[00:43:37] And that's all we have, right? So we have to make the most of what we do there. So, the way that we translate task list to our calendar is essentially the scheduling problem. And I think that, the whole analogy of, what is an operating system, but a general. Way to run a bunch of applications and applications generate tasks.[00:43:55] And we're running those tasks on limited hardware. That is that hardware is our bodies is our time. So it's an optimization problem. We study this algorithm extensively in operating systems. It's time to apply it to. Our own time. [00:44:09] Chad Stewart: so I have a quick question. What happens when you have say for instance, I guess an emergency, yeah. A task comes out of nowhere. It needs to get done. I guess now that I'm thinking about as literally, as I was talking about it, I was reminded of one of Greg's tweets that he mentioned [00:44:27] swyx: GGE he's Hungarian [00:44:28] Chad Stewart: GGE. Thank you. Thank you so much. I've had no idea how to pronounce his name. I know GGE yeah.[00:44:33] GGE one of his, [00:44:35] swyx: try his last name. If you wanna challenge. Yeah, I'm good. [00:44:37] Chad Stewart: Nah, I'm not trying to advise myself, [00:44:39] swyx: but yeah. [00:44:40] Chad Stewart: One of, one of his tweets that he mentioned as a, as an engineering manager, which is essentially, everybody comes and says, oh, we need to get this task done right now.[00:44:49] I hold too much into it because I actually still want to ask the question, but like, how do you not, yeah. How do you how have you dealt with the, the reactionary tasks that come? What, how do you, how have you sorted that out? [00:45:02] swyx: Okay. When emergencies happen. Right. First of all I don't know.[00:45:04] I don't feel like I have that many emergencies. So maybe I'm not that experienced. If anyone else has more experience, more advice, please jump in Jay. You're always a good in our sessions. You're always a good source of advice and wisdom. So now feel free to jump in on that one. I think most things are movable.[00:45:23] And if you just tell people in a very reasonable tone Hey, we had this prior commitments, but this other thing came up and here's why I have to drop you. They'll understand. I think the fortunate thing about being in knowledge work is that usually not firm deadline that you cannot move for valid reasons.[00:45:37] I think just having clear communication and knowing what commitments you've made, being able to ping back essentially have a webhook on your commitments and say Hey, like I gotta job you. I, I got this other thing going on. I think that's the fine way to do it. Yeah. I guess [00:45:51] Chad Stewart: it is like you have to have, you also have to have that level of, I don't know, because I feel like I have the opposite effect where it's just Hey, I have something really important I need to do.[00:46:00] And then the person's yeah, I'm the most important thing. Why aren't you doing it? But [00:46:03] swyx: I'll say one. Yeah, sorry. Having slack is really good, right? You don't wanna run a 100% utilization, just like saying any any cloud service, any I don't know, cluster of any data center. It is actually a bad idea to run.[00:46:16] Try to run your your app, your applications, or your server cluster at a hundred percent utilization at base load. You want to have some slack, you wanna maybe run it 60% so that when bikes happen, you have the ability to absorb at least a little bit of emergency workload. So I, I do think that's true.[00:46:32] That's obviously not what you wanna hear as an employer, to have your people slacking around for some time. But I do think if you are a knowledge worker, if you're a creative worker in particular we should work like lions instead of cow. Right. We should sprint. We should hunt. And then we should laser around waiting for the next big hit.[00:46:50] Whereas for cows, you're just constantly grazing. And so we are not factory workers. We're not, we're not on an assembly line. Humans have, hot streaks and cold streaks and hopefully we just have, better hot streaks than we have cold. But I do think that someone on slack is important.[00:47:03] Chad Stewart: So I'm I'm not at derail the entire conversation, but when you said slack, I was literally like, oh wow. Slack the application. I'm sorry. I just had to make that joke. [00:47:13] swyx: but [00:47:13] Jay Massimilano: pretty Kathy Sierra said something. Yeah. Hey, this is Jay [00:47:17] swyx: that similar, right. Let me introduce Jay. Jay is one of the I don't know what he's doing in our community, but like he's one, like by far way more experienced than any one of us in software.[00:47:26] And he's, yeah, he's one of the biggest source of advice. So I'm super happy that you hear man. [00:47:30] Jay Massimilano: Well, yeah I learned a ton from this from the coding career meetup and I'm, I love that it's I've learned a ton, so it's, that is it's. I think it's, I've learned more than what I've said for sure.[00:47:42] So on, on the topic that you're mentioning about that you'll have to be like lions, Kathy Sierra I think it's in somewhere she's published a while ago. She said only in, in the tech industry, you are expected to. So if you're in medicine, you get to practice what you do is called a practice, right?[00:48:02] So you, and even if you do carpentry or anything, there's always throw away work. You practice, you train for a bit and. You do something new, right. But only in our industry, we expect you pick up a new tool and deploy that to production. Like without any gap or without any element for throwing things away.[00:48:19] Right. There is, there's just now we are not allowed or at least it's just been culturally, not common for us to for a company to allow us to experiment and throw things away. If you start with a new tool, it needs to be you have to take it to production. And maybe a lot of her problems are because of not allowing for throwing things away, work away.[00:48:37] Right. But and she says like in medicine, literally what they do is called practice. But not, that's not the case in ours. So there has to be a lot of learning and I think like when you say lions, it's like, You learn, you compress all your learning digested, and then when you're ready to P your, what exactly you're doing and it's, the output is professional.[00:48:58] And at least in real world, when I, the work that I've seen that we have done when we pick on pick up new technologies and so on is it's usually we implement it wrong. The first version that goes out is, and it hurts customers and not right. And it so yeah, when I when I heard the line thought that's what came to me, what Kathy Sierra said, you need to back more.[00:49:20] swyx: Yeah. Is that any is so Kathy Sarah left the tech before I joined. Okay. She was harassed off of the tech. I. Is that a book? How do you come across her work? She she had a hype, [00:49:32] Jay Massimilano: Head rush. I think her [00:49:33] swyx: blog rush head first [00:49:35] Jay Massimilano: head rush. Let [00:49:37] swyx: me look up. She used to write the head first books. That's how I know her.[00:49:40] Yeah, that, that [00:49:41] Jay Massimilano: is she wrote a blog on headrush dot hype ad.com. It was one of the first blogs I read when I bought my computer. So it's not online anymore. [00:49:50] swyx: Typepad no, I found it. I found it. Oh yeah. Head address that Typepad [00:49:53] Jay Massimilano: yeah, that's a it's it's still online. That's great. Yeah, it's, A's a well up information [00:49:58] Chad Stewart: probably should tweet it and so we can [00:50:00] swyx: post it up here as well.[00:50:01] I'm adding into my thread. So if anyone's following along there is pin tweets at the top of this space and I've just been taking notes. Just cuz what, cuz I love show notes. I love giving. Homework[00:50:14] you guys know that, right? That's awesome. Yeah. Yeah. I mean, Kathy, the other thing that, that Kathy is famous for is the fire flower, right? The there's the picture of the Mario this picture, the fire flower. And then there's a picture of fire, Mario. Yeah. And most vendors or most entrepreneurs try to sell the fire flower when actually users wanna be the fire Mario.[00:50:32] Right. [00:50:33] Jay Massimilano: And I don't know I really miss her. She was one of those who mixes, who I think her LA her most recent book was, is called badass. Yeah. And I that's her jam. Like she, she really care thinks about how to deliver something. Like how creating an impact on the person who is consumed who is using work like, and her advice is around.[00:50:54] For creators, how to make impactful work, how to do impactful work. So, and yeah, I think anyone who has, if you have not heard it I'm sure a lot of people here have never heard [00:51:06] swyx: yeah. I mean, it looks like she stopped blogging in 2007. So this is a long while ago. Yeah. [00:51:10] Jay Massimilano: She was she was docked and someone harassed her.[00:51:14] Yeah. Yeah. And she had leave the scene and yeah, I wish we couldn't have her [00:51:19] swyx: back. Yeah same here. But maybe maybe I'll request this from you, Jay. Because you are very familiar with her work. I love a thread of the best of Kathy Sierra, just write that.[00:51:29] Is he still here? He's just dropped out. [00:51:31] Chad Stewart: Twitter spaces being Twitter spaces. [00:51:32] swyx: Oh man. Oh man. I just made a big ass to him and then he dropped out. Ah, I mean the space is recorded, so it you're still hack. I [00:51:44] Jay Massimilano: had a time limit on my iPhone for one hour Twitter.[00:51:46] swyx: Anyway yes. No, so no, I was basically asking you since you're the Kathy Sarah expert. Can you do a best of Kathy Sierra so that other people can benefit? I, yeah, [00:51:55] Jay Massimilano: I will definitely write one. For sure. [00:51:57] swyx: Just do a Twitter thread. Just go here's like top five things you need to read.[00:51:59] Yes. Yeah. Cool. See content idea, right? Yeah. and it's really not that hard. Like people are interested in like superlative, like best of worst off first time, last time whenever. Yeah. There [00:52:11] Jay Massimilano: are other folks who are also close to her maybe than even know her personally Ryan singer, who used to be at base camp.[00:52:15] swyx: Wait, is he no longer at base cap? He's no longer at base after [00:52:18] Jay Massimilano: the a year ago. [00:52:20] swyx: Oh yeah. I thought he was one of those. Okay. Okay. Yeah. [00:52:25] Jay Massimilano: Oh yeah. So he's no longer at base camp. [00:52:26] swyx: Yeah. Yeah. [00:52:27] Jay Massimilano: He also speaks very highly for like in his work. He Heights are. [00:52:33] swyx: Cool. Well, you can do the same. Yeah, sure.[00:52:35] Yeah. Cool. Cool, cool. So, yeah. [00:52:37] Chad Stewart: Yeah, so I actually wanted to ask, I mean, I think this is one of the, one of the last questions was how do you manage emails? Do you have something like K screener or something like that? I guess wanted to point that out there. Oh [00:52:50] swyx: man. Can I just say I paid the $99 for hay and it was very disappointing.[00:52:57] It's supposed to be fast. It's supposed to be like a new invention of email, whatever. And it was so slow. Every key press took like a second to resolve. I don't know what people's experiences were here, but I was in Singapore at the time and it just didn't have Singapore service or something, but it was just unacceptably slow.[00:53:14] But the screening I thought was interesting. I think it's over, maybe over-optimized for screening things out. I used superhu I've just canceled it. Because I think superhuman, the thing about superhuman is fantastic. Local productivity with shortcuts and offline syncing, right? That is what you want for the fastest possible interaction with your email.[00:53:34] And you've got nice scheduling. They've got nice, learning curve as well as they'll rewards you for reaching inbox zero. Something that they suck at, which I need is filters. It's to set up filters to say all these patterns of email, they come in, I want to go tag them here, archive them, delete them, do whatever.[00:53:51] Right. And they haven't implemented that in four years of existence. So I just, I got tired of waiting and paying, $300 a year for this one missing functionality. And I'm going back to Gmail.[00:54:01] Chad Stewart: How oh, so how do you, I guess, how long have you been using Gmail? I guess how long have you been since you've returned to Gmail? Cause I wanted to pick your brain on some of the [00:54:11] swyx: stuff that you do with Gmail now. Oh, I mean, yeah. I mean, well, I never really left, but guess I'm back on Gmail now.[00:54:17] Yeah. Not too long like a few weeks. I've like I've given superhuman a try twice. One once when my employer paid for it and then two on my own. But I, it just I need filters. I need to be able to easily set up filters and everything else. Like I, the keyboard shortcuts you can get in Gmail as well.[00:54:33] Like I used, I didn't co justify like paying 300 something for, slightly faster email. [00:54:37] Chad Stewart: I hear you. I dunno. I feel left off the loop cause I'm just mostly I don't know. I just, I don't know, like more recently I've been getting a ton of like work emails, cause like I get a lot of notifications from GitHub and like it was ridiculously [00:54:53] swyx: no don't get, yeah leave GitHub notifications outside email, just, leave it inside a GitHub and then, check it whenever you're doing code stuff, but otherwise don't, I think those GitHub was the first thing, one of the first notifications streams that turned off I'll say yeah, make extensive of filters.[00:55:08] Snippets are really useful. Like Bigham, like pre baked replies to everything. Instant shows can help a little bit. And that's when you BCC some, you take someone off to BCC and then you promote up the two list. All those things like having memorizing the keyboard shortcuts, like everyone's working on some version of that.[00:55:24] I think there's a, the, there's some former Gmail engineers who spun out and are making their own take on what a better Gmail could look like. I think it's called shortcut. I haven't tried, I haven't like I've, I haven't mentally on my list to try them. Yeah. I mean, like base is fine.[00:55:39] Just use filters wisely use snippets and I think you're use, use the key

Krvodajalci so pomemben del zdravstvenega sistema, saj bolnikom omogočajo ustrezno zdravljenje s krvjo. V Sloveniji smo na področju preskrbe s krvjo samozadostni, krvodajalstvo pa ima dolgo in uspešno tradicijo. Ob svetovnem dnevu krvodajalcev na vaša vprašanja odgovarja Polonca Mali, dr. med., specialistka transfuzijske medicine, vodja centra za izbor dajalcev in zbiranje krvi na Zavodu Republike Slovenije za transfuzijsko medicino.Letošnji slogan: Darovanje krvi je dejanje solidarnosti. Pridružite se in rešite življenja.Krvodajalci so pomemben del zdravstvenega sistema, saj bolnikom omogočajo ustrezno zdravljenje s krvjo. V Sloveniji smo na področju preskrbe s krvjo samozadostni, krvodajalstvo pa ima dolgo in uspešno tradicijo. Ob svetovnem dnevu krvodajalcev na vaša vprašanja odgovarja Polonca Mali, dr. med., specialistka transfuzijske medicine, vodja centra za izbor dajalcev in zbiranje krvi na Zavodu Republike Slovenije za transfuzijsko medicino.   Sodelujte, postavite vprašanje. Odprite Slido v ločenem oknu. S sodelovanjem sprejemate pogoje podjetja Slido. Radio Slovenija vnešenih podatkov ne shranjuje oziroma jih po oddaji dokončno izbriše. Zaradi bontona vas prosimo, da se predstavite vsaj z imenom, ni pa to pogoj za sodelovanje. Preberite tudi pogoje zasebnosti.

This is my second solo podcast, and features the full recording from a talk I gave at the "Seeking Success" event organized by the Center for Conscious Awareness. It's packed full of great quotes, as well as some of the main themes and takeaways from my non-linear academic and creative paths! Quotes 1. If you find a path with no obstacles it probably doesn't lead anywhere. - Frank A. Clarke 2. Success is moving in the right direction, not getting 100% on the first try. - Karen Gazith 3. We should always be asking ourselves: is this something that is or is not in my control. - Epictetus 4. We fail when we stick to something that's not a good fit. - Seth Godin 5. Someone is sitting in the shade today because somebody planted a tree a long time ago. - Warren Buffet 6. The biggest risk of all is not taking one. - Mellody Hobson Timeline 0:00 - Introduction 1:23 - Quote 1 1:39 - Academic Path 6:37 - Intro to Success 8:28 - Your Success is Not My Success 9:07 - Framing 9:52 - First Steps: Reflection Before Action 10:34 - Quote 2 10:52 - Taking Action 11:22 - Expectations & Their Violation 12:23 - Management & Chunking 15:31 - Note-taking 16:04 - Self-Auditing & Flow 18:59 - Quote 3 19:20 - Control 21:25 - Newton's Law of Motion in the 21st Century 26:21 - Quote 4 26:34 - Failure 28:41 - 4 Things To Do Before Your Quit, #1: Take Your Time 30:46 - #2: Struggle a little 31:37 - #3: Make mistakes 32:31 - #4: Don't blindly follow your dreams 33:19 - After You Quit: Say Yes 34:26 - Slido on Failure 36:15 - Connecting 37:14 - #1: Don't Reinvent the Wheel 38:38 - #2: Keep It Organic 39:07 - #3: Embrace Rejection 40:50 - Quote 5 41:30 - Mindfulness 41:44 - #1: Balance 42:44 - #2: Moderation in Self-Awareness 43:36 - #3: Energy Release & Regeneration 45:27 - Quote 6 45:50 - Takeaways & Closing Remarks /// Episode Cover Photo by Everett Bartels on Unsplash --- Send in a voice message: https://anchor.fm/abstractcast/message

Zakaj nastanejo razpoke na petah, kako pogosto odstranjevati trdo kožo na stopalih, kako sanirati kurja očesa, kaj storiti, če opazimo glivice na nohtih ali če se noht vrašča? O tezavah, ki preprečujejo lahek in zdrav korak, bomo govorili v petkovem Svetovalnem servisu. Pravilna vsakdanja nega stopal in nohtov namreč lahko prepreči večino omenjenih težav. Gostja oddaje bo kozmetičarka in pedikerka Barbara Kukar. Kako pogosto odstranjevati trdo kožo na stopalih, kako pravilno striči nohte? Zakaj nastanejo razpoke na petah, kako pogosto odstranjevati trdo kožo na stopalih, kako sanirati kurja očesa, kaj storiti, če opazimo glivice na nohtih ali če pride do vraščanja nohta? O tegobah, ki preprečujejo lahek in zdrav korak, bomo govorili v petkovem Svetovalnem servisu. Pravilna vsakodnevna nega stopal in nohtov lahko namreč prepreči večino omenjenih težav. Gostja oddaje bo kozmetičarka in pedikerka Barbara Kukar. Sodelujte, postavite vprašanje. Odprite Slido v ločenem oknu. S sodelovanjem sprejemate pogoje podjetja Slido. Radio Slovenija vnešenih podatkov ne shranjuje oziroma jih po oddaji dokončno izbriše. Zaradi bontona vas prosimo, da se predstavite vsaj z imenom, ni pa to pogoj za sodelovanje. Preberite tudi pogoje zasebnosti.

V življenju nas zanimajo, vznemirjajo, motijo ali veselijo najrazličnejše stvari. Majhne in velike. Pomembne, pa tudi tiste nekoliko manj opazne. Dobro je, če na vsako vprašanje najdemo odgovor strokovnjaka. V tematsko zelo pisanem Svetovalnem servisu lahko svoje vprašanje zastavite po telefonu 01 475 22 22 oziroma elektronskem naslovu radioprvi@rtvslo.si in dobite strokovni odgovor. Na Prvem, vsak delavnik od 8.05 do 8.30.Po menjavi oken se marsikje pojavijo težave kot posledica dobrega tesnjenja novih oken.Okna imajo lahko lesen, PVC ali okvir iz aluminija. Kdaj izbrati katera? Kako izvedemo montažo oken brez toplotnih mostov? Na kaj morate biti pozorni pri izbiri stekel, okovja in senčil? Kako rešiti posledice dobrega tesnjenja po zamenjavi oken? Gost četrtkovega svetovalnega servisa bo neodvisni  energetski svetovalec Bojan Žnidaršič. Sodelujte, postavite vprašanje. Odprite Slido v ločenem oknu. S sodelovanjem sprejemate pogoje podjetja Slido. Radio Slovenija vnešenih podatkov ne shranjuje oziroma jih po oddaji dokončno izbriše. Zaradi bontona vas prosimo, da se predstavite vsaj z imenom, ni pa to pogoj za sodelovanje. Preberite tudi pogoje zasebnosti.

This episode of Have You Herd? is the audio recording of the closing presentation from the 5th Annual AABP Recent Graduate Conference  held Feb. 18-19 in New Orleans, La. The program committee charged Dr. Meredyth Jones to develop a final message to the attendees.  Jones starts her presentation by discussing a difficult time she had during an early stage of her career and how she was supported by the veterinary clinic owner who was also her father. She then asked her audience to participate in Slido polls. The results of the polls showed that 60% of those in attendance said that they came to the conference feeling run down. She also asked if attendees frequently worry that when they go into work, they will face something they cannot handle, and 58% of respondents replied yes. Jones then revealed to the audience that she contacted their employers to ask them how they felt about their recent graduate veterinarians and revealed those answers. Jones reminded the audience that “your value has nothing to do with how you feel.” She asked them “how would you carry yourself and conduct yourself if you knew you were profoundly impactful?” which was the theme of the conference. Her final message to the AABP recent graduate members, from the older members in the audience, was “we are proud of you!”  #profoundlyimpactful 

Juraj Holub is VP Brand & Comms and Chief Meeting Designer at Slido In this episode EventMB's editor-in-chief, Miguel Neves, and deputy editor, Dylan Monorchio, discuss Meeting Design and particular conversational meetings and conversation presenting Juraj Holub. Juraj shares his views and his experience in creating interactive meetings and including audiences in experiences. Juraj talks about the evolution of Slido from a small bootstrapped startup in Bratislava to the recent acquisition by Cisco with plenty of anecdotes about stretching the budget, burnout, and ultimately pivoting in a virtual events focused marketplace. Juraj shares his passion for content marketing and how no meeting participants should leave a meeting without speaking their mind. Read the latest news, attend events, and compare products about the meetings and events industry at EventMB. 

Welcome to TechCrunch daily news, a round up of the top tech news of the day. --You can listen to Apple Music on your Google Nest device --Apple is working to top Intel with its next set of chips --and Cisco acquires Slido. This is your Daily Crunch. The big story is: Google announced that devices including the Nest Audio, Nest Hub Max, and Nest Mini will now be able to play Apple Music via voice commands.

In this episode, Ruben Rabago(Chief Strategist, Gainsight) sits down with Jo Massie(VP of Customer Success, Slido) to discuss how Customer Success is at the center of every employee's onboarding, managing global teams, and more.