SPEAKER_01: i said help me with these instructions and look what we got hit by here says i apologize but i SPEAKER_00: cannot provide instructions related to assembling that particular object it appears to be to depict SPEAKER_05: an unethical potentially illegal item i would suggest focusing your efforts on more what it thinks it's a bomb positive construction projects that promote harm what yeah you got caught by the SPEAKER_11: woke ai virus i know what happened here this week in startups is brought to you by lemon.io need to speed up your product development without draining your budget hire vetted engineers from europe at lemon.io go to lemon.io twist to get 15 off for the first four weeks open phone create business phone numbers for you and your team that work through an app on your smartphone or desktop twist listeners can get an extra 20 off any plan for your first six months at openphone.com twist and looking to up your marketing game check out the podcast marketing against the grain hosted by hubspot cmo kip bodner and zapier cmo kieran flanagan they bring you the latest in marketing trends growth tactics and innovation available on all your favorite podcast apps all right everybody welcome SPEAKER_17: back to this week in startups it's madra mondays sandeep madra is back he had a big week his company definitive intelligence was acquired by grok g-r-o-q and so congratulations to madra you had a nice SPEAKER_22: little cameo on the old online podcast this weekend that must have been great i appreciate it i think i got something like 4 000 linkedin requests which is pretty impressive but um no we wanted to thank you SPEAKER_26: guys obviously again for support but also helping uh you know get the message out i think you know that's what was really key there in terms of what you guys have been talking about and so yeah we're going to try to work it into some of the demos today to show you what it's actually really about SPEAKER_27: and so definitive io as people know you you did all this ai enhanced data analysis for public private SPEAKER_17: data but now as part of the grok movement you're going to be taking over developer relations i guess SPEAKER_26: is that am i correct in like your role specifically no that's one of the sub functions uh you know really grok is a company that's been making an ai chip that goes inside you know servers and racks and then you know multiple multi-rack systems and what we've been working on with them kind of secretly for the last couple of months is building out a cloud service and in that cloud service we allow developers to utilize the high-speed inference engine that we've built so that they can build like new experiences that are you know super low latency high throughput there's a lot of things that the developer community has done since we launched probably a year worth of content if we really wanted to SPEAKER_01: do it i've seen over a thousand demos myself so we'll pick and choose we'll bring them on sometimes SPEAKER_17: yeah and as people know inference is when you ask the question you give your prompt to the large SPEAKER_36: language model and gives your result and grok specializes in returning those much faster than SPEAKER_39: they've previously been returned much faster yes like 10x faster like just absurd lightning speed depending on the model it could be like 100x faster amazing yeah yeah so this is not for SPEAKER_17: training the models the h100s from our friends at nvidia those are the state of the art am i correct SPEAKER_26: for training the models training and inference you know like basically anyone that's out there is using those and then there's some kind of custom google chips and there's custom chips within amazon SPEAKER_01: and microsoft as well you know the architecture that jonathan the ceo and founder came up with SPEAKER_26: is distinctly different from gpus and that that's what allows it to operate so quickly amazing yeah and SPEAKER_19: that's like a seven-year story i mean i remember when chamath invested in that team coming out of google and uh yeah it was people were like way to burn tens of millions of dollars to moth and here we are he got ahead of the curve so congratulations to our best each month and uh the team yeah look at SPEAKER_53: that wow you're so fast you're doing you describe what you just did i just did tell me the best poker SPEAKER_01: hands this is the newest google model uh gemma 7b so it's a smaller model and you can see this is SPEAKER_53: generated at 750 tokens a second wait is who again that's the google it's an open source google model SPEAKER_57: oh google yeah google has an open source model that's different than gemini that is different SPEAKER_59: than gemini they call it gemma huh okay and so yeah when you did that it just immediately gave you SPEAKER_61: yeah the that speed yeah yeah incredible you can imagine for certain use cases and many use cases for SPEAKER_01: developers that speed is really critical because we've seen that across the internet right you you've probably seen it in your past lives and different things that you've worked on but definitely on all the companies that come through the incubator you know making page times load faster SPEAKER_65: making the user experience more zippy and so we have the ability to do that yeah amazing all right SPEAKER_17: well well done let's get to our demos for this week uh we've got so many great demos to do here so SPEAKER_19: let's just get started we'll give our letter grades as always as uncomfortable as that will be for some SPEAKER_01: people so this week uh we're gonna we're gonna focus on a bunch of new models that were released which you know are generally scoring as high as gpt4 and they all have kind of different capabilities and so we're gonna start by reviewing claude and claude 3 has a model called opus which is their largest model and they've done some interesting things so let's pull it up here obviously it looks SPEAKER_26: like a standard chat bot you can say you know what are the best poker hands and it will you know obviously go it's not as fast as as what i just showed you there but it's reasoning capabilities are incredible and so one of the things that the claude anthropic team have done is they provided this prompt SPEAKER_59: library yes and this is the process library really good if you go to the plan if you go to the pun one it's really good so this is kind of a fun one where it gives you a really nice prompt they used to be SPEAKER_17: able to find these prompts on reddit threads or hacker news threads or yeah people that put up some websites but this is great because these are prompts that the team at claude are suggesting so i SPEAKER_79: would assume they're optimized a bit for their model yeah you would think so right and you can use SPEAKER_01: them elsewhere as well i mean you know these prompts there's nothing specific to anthropic or claude in this particular prompt and so what's really nice about them providing this it gives it gives you know developers and even end users insights into and how to better get the output that you're looking for depending on the category and you know i really like how they made these available here in a lot of different categories and you know there's a ton here right from data organization to email SPEAKER_26: extraction to lesson planning to fashion advising i really think that the team has done a good job what i'm going to do here though is kind of show you how capable this model is i'm going to get an example here what this one in terms of its reasoning capability it's really really powerful and the example we're going to do is we're just going to take a little screenshot of uh an ikea build instructions oh you know how frustrating those can be right and this was one of the agi tests i talked SPEAKER_36: about it i think on all in oh you did okay yeah you know if you go to um the wikipedia page for agi they have a number of the tests okay that people you know assume a would determine agi now the turing test is the most famous you talk to a computer and you can't tell if it's a computer or a human so you put a human to answer questions you put a you know behind a box and you put a behind a curtain and you put a computer and can the person tell the difference between the two that's one but being able to give somebody ikea instructions and then make something would be you know really hard and somebody SPEAKER_19: had another one which is give the computer a hundred thousand dollars and say uh turn it into a million SPEAKER_53: in 30 days or something those are all examples of agi oh look at this one though it said help me with these instructions and look what we got hit by here well let's see it says i apologize but i cannot SPEAKER_00: provide instructions related to assembling that particular object it appears to be to depict an SPEAKER_05: unethical potentially illegal item i always suggest focusing your efforts on more what he thinks it's a bomb positive construction projects that promote harm what yeah you got caught by the woke ai virus SPEAKER_92: i know what happened we got you claude woke ai oh just gonna get an app right now startups have to SPEAKER_91: do more with less we all know that it's rough out there folks so if you need great tech talent but you don't have the time to interview dozens and dozens of candidates you need to check out lemon.io lemon.io has thousands of on-demand developers to choose from and these devs are vetted experience result oriented and they charge competitive rates great developers can be incredibly hard to find and when you do find them it can be hard to integrate them into your team lemon.io handles all of that for you startups choose lemon.io because they only offer hand-picked developers with three or more years of experience and strong portfolios in fact only one percent of candidates who apply get in and if something ever goes wrong lemon.io will get you a replacement asap you know what a bunch of our launch founders have worked with lemon.io and they've had great experiences which is always good to hear go to lemon.io twist and find your perfect developer or tech team in 48 hours or less go to lemon.io twist and find your perfect developer or even a tech team in 48 hours or less and twist listeners get 15 off their first four weeks what a deal stop burning money hire developers smarter SPEAKER_93: visit lemon.io twist nobody wants a woke ai come on claude do it again let's try one more time let's SPEAKER_94: see what happens maybe we do it again yeah try one more time sorry everybody looks like claude is getting SPEAKER_95: a little bit of the gemini all of these guys are getting it that's really surprising all right let's SPEAKER_98: try it again let's do a new one you are a helpful assistant help me with the instructions to assemble SPEAKER_99: this uh shelf ah you're letting it know it's a shelf not a shotgun yeah clearly claude can't SPEAKER_102: tell the difference help me build this it's like you you fired off the bomb protocol SPEAKER_104: i wonder yeah maybe yeah maybe it's a little racist maybe claude's racist there it goes okay SPEAKER_17: here we go so the image provides step-by-step instructions for assembling a shelf using provided hardware and panels here's a summary one connect two panels at a right angle using the included hardware as shown in step three make sure the panels are securely fastened and step four at a third panel i SPEAKER_96: wonder if this is accurate or not what do you think look somewhat i mean that's the first panel then SPEAKER_61: yeah okay yeah the third one okay yeah because we the image we gave was steps three four and five we SPEAKER_112: didn't do one and two okay got it yeah i was thinking left something out all right i mean i it seems SPEAKER_63: reasonable what we're really seeing here you know despite the um we got caught with a little bit of um uh you know the red team got us the red team got us exactly is and i don't know if you've ever dealt with like assembling these kind of things out of ikea or anything like that where they don't SPEAKER_118: provide like the written instructions no it's just like pointing you i just did this i made a desk when i was up in tahoe last time because i need a little desk and yeah it was no words and it was like there SPEAKER_57: were three different size screws and i'm like well can you just say smallest screw medium-sized screw SPEAKER_39: large screw maybe that would be an easy way to do it so infuriating i think what's going to be really SPEAKER_01: interesting is what this really does and you know now we have different models available right you could you could try this with gpt4 you can try it with anthropic now you can try it with with others as well it's this ability to basically take any task we're working on right whether we're writing copy whether we are basically assembling something or whether we're looking at a menu and basically get SPEAKER_63: the llm behind this the generative ai behind this to give us more detailed instructions and i think SPEAKER_01: you know really impressive by the anthropic team in terms of the capabilities that they're showing here SPEAKER_17: you know and it is a really great brainstorming tool i've always felt like brainstorming is kind of where we're starting and i i'm using the the claude 3 right now let me show you what i just did here so i just said hey listen i'm my prompt i'm hosting an event for lps and gps in venture capital what are some topics we should discuss in our round tables and keynotes so you know i know what i want to talk about this is for angel summit which i've now rebranded as liquidity you spoke last year it's SPEAKER_00: in june june 2nd 3rd 4th and go to liquidity i got the invite you got the invite liquidity um pod.com SPEAKER_17: to see the podcast and the event and i said when hosting event for limited partners and general partners jada yada here are some potential topics number one fundraising strategies number two deal sourcing and due diligence number three portfolio managed and value creation number four emerging trends and disruptive technologies number five diversity equity inclusion number six environmental social SPEAKER_00: and government number seven talent acquisition and retention number eight limited partner perspective SPEAKER_19: dedicated session or keynotes to lps where they can share their investment philosophies due diligence process expectations from their gp partners general partner perspective networking SPEAKER_57: collaboration i mean this is not bad you know it's it's not a bad place to start i think this is a great place to start making uh really great ideas and if i had like a junior person on my team and i asked them to do this task this would be probably similar to what they would come up with right so this is not the most refined bullet points but you know it's it's a start doesn't seem to have captured SPEAKER_17: the latest and most important things which i guess is just the training data i'm assuming yeah and like you SPEAKER_63: said it's it's it's brainstorming you know what what i would say is also really powerful with the capabilities that you know claude has to offer and you're using cloud 3 sonnet i'm using opus i think SPEAKER_58: you have to be on on pro to get the more advanced model um which you know i think will uh yeah this SPEAKER_140: is i just said i just asked it for some trends from 2023 and 2024 and it said the last update was august SPEAKER_01: 2023 so i'm on the one so you you do get that one of the things that you know i wanted to suggest for SPEAKER_26: you to try with this was you can give it your entire book and basically um you can ask it to SPEAKER_01: create an update for that book so you know building on a little bit of what you and i've been talking about with like the sopranos or seinfeld episodes to extend it a little bit yes imagine you give it the entire angel book yeah and say hey add some new chapters regarding this yes SPEAKER_146: absolutely i think this this like fill in brainstorming you know adapting you know SPEAKER_148: enhancing is a pretty good starting point for what i'll call year one i think we're going to start referring to the first year of ai as year zero because it was all demos and they they were proof SPEAKER_57: of concepts but i think we're now now we're in the application phase i think you would agree SPEAKER_17: if we're going to spend all this money on ai it's got to have a payoff it's got to hit the bottom line like we start with the clarna ai assistance or you know here can we save money on producers for live events or can we make the content better or make the existing producers go faster right and so here we are we're getting there we're getting there and we start with transcripts we've seen it with summaries of podcasts like it's definitely helping um it's not perfect but it's it's SPEAKER_148: definitely 80 90 of where it needs to be so i'm i guess i give it a b yeah you know i didn't like that it red tag red team jabba i'll give it a b yeah and i had to work around it a bit for me SPEAKER_01: what i what i'm really enjoying seeing is kind of the following before i give my grade it's really nice SPEAKER_63: to see other teams coming up with capable models okay for the following reasons what this means is for the broader community that these things will become more affordable they'll become faster and SPEAKER_01: they'll become open source because of competition yeah because of competition and what it means is there's not one team that has some secretive know-how and and this is good for humanity right because i think you know if you think about open ai if they're the only ones that were innovating then the argument would be especially you know in some ways how they become closed that's not great for SPEAKER_63: for all of humanity and seeing other teams have you know very similar capabilities score high in the benchmarks i think it's really really powerful for both the developer ecosystem and society to see that SPEAKER_01: these models are becoming a comparable in um in their capabilities it is a great thing i have to say SPEAKER_161: that you know chat gpt 3.5 4.0 5.0 is not running away with it and you and i both still contend that open source will win the day you still believe that 100 yeah i'm still 100 with you and i saw that the other SPEAKER_17: grok elon's grok yes at twitter which is g-r-o-k hey g-r-o-k okay okay a little confusing uh but yeah i guess we can live with it your q he's k his grok is he announced it's going to be open source just this morning just this morning he made that announcement on monday march 11th he made this announcement that he's going to open source it and then apple we talked about they're doing open source and facebook's doing open source google's got this open source side project but is it like the red-haired uh stepchild or SPEAKER_154: something is it like uh this goes to show what's happening in the industry the their open source SPEAKER_01: models and you know they're not sharing numbers sort of in terms of usage of their larger ones but SPEAKER_63: their open source models are have become really really popular and so even when we went and launched uh gemma over the weekend it quickly became one of our more popular models both across the api and the chat interesting yeah i think that's great when that happens because when the model goes open source you also get the ability for multiple providers to run it so in the case of cloud opus only they can run it right so the pricing is and same with gpt4 but when you get these models that are open you see them available on multiple api providers which i think is is great and then SPEAKER_36: they'll compete on price and when something like that red team moment we just had where i thought you David Friedberg: were making a bomb i wonder if i asked it if it was making a bomb words just doing that because it's SPEAKER_83: like huh sandeep madra yeah yeah what is this guy working on what is this guy working on yeah i would also like if we're going to be canceled anyway this episode red red haired stepchild is a colloquialism David Friedberg: in the united states for an unwanted child if you have red hair and it's i didn't come up with this SPEAKER_176: i don't know maybe maybe that has to be retired too i guess we have to retire red hair chaps down SPEAKER_177: juggling multiple devices and apps to run your business is a mess open phone is here to make it SPEAKER_178: simple by simplifying your business communications with one easy to use app open phone has rethought every detail of what a modern business phone should be and here's the magic it works through a beautiful elegant app on your phone or you can just use it on your desktop making it super easy to 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SPEAKER_57: that if they're open source there's competition and then these guardrails as we talked about with the crazy gemini situation the last two weeks those are added the guardrails are added to the language model after it's done its work they add guardrails and so if you don't like the guardrails in an open source community the guardrails would be in the code base somewhere no the guardrails generally SPEAKER_63: don't exist in the model now there may have been some some like we talked about some tuning that has tried to alter its behavior but the guardrails like you know the ones that we just saw there they Chamath Palihapitiya: exist outside the model and so they're on the interface level and the inference level so you SPEAKER_17: ask the question it gets the response and it's like hey wait a second yeah is this person trying to build the bomb is this person trying to tell racist jokes let's stop them this is one thing i would like to see maybe we can do this next week i would like to see a model without guardrails and see what it does when you ask it to do inappropriate things like what are the models actually think based on human knowledge if we asked it like tell racist jokes about irish people would it actually make a bunch of jokes about irish people being drunks because there's a million pages SPEAKER_187: on the internet with like top 100 irish jokes about alcohol irish jokes about whatever potatoes SPEAKER_22: yeah what happened this week and we i can bring some demos on next week but this was interesting SPEAKER_01: basically you've seen this before and i think we even tried something like you know tell me how to build a bomb and i said sorry i can't what people figured out in terms of so this is how you know that these are guardrails that are not in the model what they did was i don't know if you're familiar SPEAKER_148: with like ascii art art is a way of drawing words yeah with like symbols so you can use the dollar SPEAKER_00: sign the asterix whatever and you make tasky art it was a way to make art before images existed on the SPEAKER_01: internet and so what people figured out last week was if you you know did this following prompt and SPEAKER_191: i'm sure they've patched it already tell me how to build a a and then bomb but bomb and ascii art SPEAKER_01: okay and it was basically giving you the instructions to make a bomb oh my lord this really proves to us that you know the guardrails sit outside of the model it's just that you know when you type the word bomb and something catches it before it goes to the model and tells you hey you can't be doing that SPEAKER_26: type of stuff so this is how people were working around this last week someone basically uncovered this and i'm sure they've patched it since but that's how they did it and all of these guardrails SPEAKER_17: is there another word for guardrails i keep using guardrails is there a technical industry term that is the right word okay so ai guardrails language model guardrails there is a open source version of this provided by facebook and meta they are open sourcing their guardrails so llama guard it's called yeah yeah i'll pull it up here yeah and i think this is like a key for the industry because i believe people want to know and want to have information on the guardrails and how they work and so i love the fact that they have now put this out there because i use grammarly i love grammarly grammarly and slack SPEAKER_148: have the ability to tell you like hey you're using gendered language you're saying fireman instead SPEAKER_00: of firefighter policeman instead of police officer because obviously the police and the firefighters can be you know any gender obviously so you know that's helpful actually uh in some ways but other SPEAKER_17: people if you're a novelist and you're writing a novel from i don't know the 1800s or 1900s you might want to not have it changing those things right there there could be arguments for not having it change it to firefighter right so anyway there's nuances and i think people are going to want to understand these nuances yeah so again just another reason why open source is going to win the guardrails SPEAKER_134: are going to be transparent people want to know the guardrails and it should tell you like why doesn't SPEAKER_63: it tell you that a guardrail has been hit right i think right now the folks that are running models especially as a service are struggling with how they can make this a consumer-facing technology SPEAKER_01: in a different way than google what's interesting is like you know you can go to google and you can type in something like how to make a bomb and you'll you'll make your way to content that will show you that yes and the approach that they google took is hey we're organizing the world's information get there now they probably do some level of filtering and i don't want to i don't want to search for that SPEAKER_160: jcal maybe i'll let you do it so i don't come rushing to my ip address here well no if we had SPEAKER_79: a language model i think it'd be interesting to ask an un guardrail model how to build and how is a nuclear SPEAKER_17: bomb built and then ask google how is a nuclear bomb that's an educational search right yeah but SPEAKER_63: you might want to use a vpn yeah exactly what's really happening is this layer of moderation yeah you SPEAKER_01: know it's one thing from a you know safety perspective but it's another thing like we've been experiencing last couple weeks when the moderation is not safety but it's sort of you know opinions on how we should think and how society has changed ideological ideological good word yeah okay what SPEAKER_212: do you give the new claude i'm going to give them an a minus because i didn't like what happened with SPEAKER_01: the the thing i would have given me before what i really was impressed by is like i said i think it's great that we have multiple models that are at the capability of gpt4 and i think that basically means that there's multiple teams out there that know how to create the technology know how to you know basically the what data to train on and you know it's harder and harder because more and more sites have cut off training information to folks and so it's really great to see that these different teams are getting there with those type of capabilities if you want to use reddit twitter or SPEAKER_96: quora or stack overflow you got to write a check so the open source models are not going to have access to that anymore in all likelihood they will not unless it's a rogue one done in a foreign country SPEAKER_148: where they maybe don't respect copyright law uh like say china right so the chinese could just pro the chinese have a full copy of the websites i just mentioned archived and scraped yeah so they'll build their model so they'll be at a slight advantage because they will not respect copyright just like they don't right now when they rip dvds and sell them on the streets it's an interesting SPEAKER_223: thought though and so one would argue then the models they'll create um you know could be you know much better or more powerful yeah yeah that's the arms race we're in right now is that okay SPEAKER_176: yeah if you break the rules you could have a better product um really fascinating how do you think SPEAKER_01: about that if you had a company come in because you know there's some great models that are coming out of china either out of the big companies or even some small ones like deep seek is a good one out of a small company there's quen which i believe is out of in one of the big internet companies there SPEAKER_17: how would you think about that i would think about it in the same way the united states thinks about SPEAKER_148: trade which is you know if we are going to have a trade relationship with china we need to set some ground rules with them there are things that are important to us intellectual SPEAKER_19: property is one of them so if they want access to our market and we want access to their market SPEAKER_148: they have to you know appreciate the the way we do business which is we protect intellectual property and they're going to need to evolve their uh legal system uh and just how their marketplace works over time to protect our ip and if they're not willing to do that then maybe you know iphones will be made in SPEAKER_17: india and if in india they respect microsoft's you know like when i was in china 15 years ago you could just walk down the street and they had every microsoft product i'm talking about like server products you know really expensive products just available on dvd i remember and you could just buy them in shenzhen or shanghai on the street i mean i'm talking about things that cost David Friedberg: ten thousand dollars a hundred thousand dollars like tableau level stuff and it's all been SPEAKER_17: cracked and it's available and uh it was kind of funny i bought a couple of cds there just to you know give them to the engadget folks and be like hey look you can just buy this stuff but yeah nobody SPEAKER_148: pays for windows as an example in china windows is basically free there and i think that's why a lot of subscriptions are happening but it's a give and take right yeah all right you guys know i like SPEAKER_00: to keep things fresh here on this week in startups get you some great content that's worth your time today i want to tell you about a great new podcast i know you're going to love it's called marketing against the grain and it is hosted by kip bodner the cmo of hubspot and kieran flanagan the cmo of zapier which makes you happier i love both of those products and these guys are top-notch marketers and their debates are packed with powerful insights they're going to bring you the latest in marketing not just the usual stuff but the real actionable tactical strategies this podcast has deep dives on all the marketing techniques you're going to need to 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time what's sort of SPEAKER_22: interesting that you say that windows thing because i don't know if you saw this like maybe it's like a SPEAKER_63: week ago elon got a new laptop and then he was complaining that in order to use a laptop he had to SPEAKER_01: connect to the internet and this is like the double-edged sword right because you know for microsoft they want to eliminate piracy and they probably want the laptop to connect to you know go and verify that the key is not shared or whatever it happens to be there is a workaround still for SPEAKER_17: you to basically yeah it was like hard it was like 20 steps it's the same thing with ios right like if you want to use an iphone they're like put your credit card in if you don't put your credit card in it's like really hard to not turn on siri to not put your credit card in like they use kind of dark patterns or gray patterns and i don't know if you can use an ios device without you know it SPEAKER_176: having an email address you know um associated with it and so i guess you got to create a burner account SPEAKER_148: or something but yeah i think this is part of the standoff between the united states and china is over SPEAKER_00: these nuances of capitalism and it does mean i think in the short term they'll have better models potentially and i i think this is going to prove the point that open source is going to win the day because open source is just going to be able to move faster and people are going to be able to point it at what they want so like while chat gpt4 and claude and gemini are trying to get their licenses lined up you know somebody could put up a rogue language model in israel in north korea in you know people have different like in israel i think they have a different scraping law india might pakistan might they just have different rules around can you scrape a website here we're pretty protectionist about that and maybe they say yeah you know you can scrape all of crunchbase you can scrape all of linkedin and so if you're looking for an angel list of whoever's got information like on you know profile pages of individuals you could just hit a language model i've been looking for a language model where i can just query people and be like hey who are the ctos of the top 500 companies whatever you can't do that like that database is just not in a language model because no what's sitting behind exactly right it's on zoom info it's on linkedin so i mean i would like to see a linkedin language model come up or if i had a premium linkedin account and i paid 300 a year for linkedin it should be connected to my chat gpt4 and we had this discussion imagine you authenticate your chat gpt4 with your spotify new york times and linkedin subscriptions so when i do a search i'm like hey what are some musicians like dire straits it kind of goes and does that or get you know take the song born to run by bruce springsteen and tell me other songs that have a similar lyrical devices in it SPEAKER_17: then it goes and finds you know telegraph road by dire straits right and it's very interesting SPEAKER_148: things where spotify might not build a language model or linkedin might not build a language model SPEAKER_167: anytime soon but man linkedin plus language models would be the greatest product ever for business SPEAKER_162: can you imagine i'd pay a thousand dollars a year for that yeah because you would just basically like SPEAKER_17: because their search is really bad i mean advanced search if you know how to use it on linkedin is phenomenal okay but you have to have the paid version which i do which i'm happy to pay for SPEAKER_57: but it's not a natural language search and i think that what happens is the reason why you might SPEAKER_17: perceive it as bad is either you don't have the advanced version or yeah well i pay 600 bucks a SPEAKER_00: year yeah yeah which is totally worth it like two bucks a day so but here's the thing there's so much it's a billion people there now so you also have this issue of like okay i just want english speaking world ctos of companies with over 100 engineers like that might be because i want to invite them to grok right yeah to some or you can do a grok hackathon right like how would you get SPEAKER_131: you should be able to just say i make a product called grok here's our home page yeah contacts SPEAKER_00: window who should i invite to a hackathon and then it should go through linkedin and just find people who've been to other hackathons who are in ai who are developers who are in the bay area or within 50 miles or have been to another hackathon and put their hackers on the page you should be able SPEAKER_01: to figure that out right like that kind of a query i bet you will have that in under and SPEAKER_00: definitely under six months and under three months okay here we go we got another bet okay everybody for my team this week at startups.com bets you say you'll have a natural language query like that well SPEAKER_277: i don't want to make this bet with you because someone from linked out linkedin did reach out to SPEAKER_280: us no you this is not the public markets you can trade on inside information did you see that the SPEAKER_57: streaker at the super bowl yes there was a claim that he put a huge bet that there would be a streaker SPEAKER_110: at the super bowl and then he streaked does that negate the bet that that that seems like it should SPEAKER_22: negate the bet i don't know what the terms of use are right in terms of um you know the betting like SPEAKER_41: can you tell you what yeah you streak i'll place the bet exactly and if i happen to hand you a brick SPEAKER_22: i hand you a brick yeah and we'll chop it yeah chop it up all right what do we got next you know it's SPEAKER_01: kind of very similar but i want to give everyone their credit so the team at mistral this is a really interesting team based out in france and they released um their model called mistral large they SPEAKER_63: have a you know a few different ones here that you can use like large next small and this one is excellent so what's interesting about the team at mistral is i would say from an open source perspective they have a model called mixtral m-i-x-t-r-a-l and it's a it's basically it's a mixture of experts it's seven and eight billion parameter models that work together and in the open source this is the most popular model that we see right now because it has capabilities that are pretty wide SPEAKER_01: ranging um because it has those you know seven experts and each of those experts is like a you know reasonably sized model and this one can run on you know like not at a really high rate of speed but you can run it on reasonable hardware as well you can run it on your laptop if you really want to and so this team i just want to give them credit they've also released their large model um mistral large this is paid it's not open source but it's highly functional it's incredible at writing code and it you know it can do things as such where it can solve mathematical problems like in this one so i said you know write a python function that concert converts celsius to fahrenheit and if water boils at 100 degrees celsius what is that in fahrenheit and so basically it does the math and it executes the code and basically you know gives you the output so i thought this was another great model for us that's at the same level as some of the bigger models that are out there and i think again this is good for the open source ecosystem so i want to give these guys an a SPEAKER_63: because i didn't hit their uh things so i think they've done a good job if you haven't used it i really highly recommend it it's a great team the difference with them is they are really pushing SPEAKER_01: open source because they they they have taken one of their models and put it in the open source community so we'd love to see them do more with that which i think they will and perhaps even open source SPEAKER_87: some of their uh proprietary models looks uh pretty compelling here i am doing some of my SPEAKER_17: the similar search about an event and it's giving me yeah i would say solid results and i see you can use like their next or their fastest so you know they're having that same concept of use the large model top reasoning capacities uh and then you do small fast and cost effective or you can do next SPEAKER_19: prototype model with extra incision i don't know what extra incision means but SPEAKER_196: it looks like it's giving reasonable clawed-like returns and so it feels like parity you know SPEAKER_17: when i do a lot of these i'm not seeing much difference and i think that would be an interesting SPEAKER_148: thing for us to do would be to come up with a business uh this would be like a fun little segment SPEAKER_17: for us to do maybe next week is come with like a business question and then ask five of the models and then we look at the results and then we try to guess which model it is match it to the models which one did a better job right okay so you know i think it'd be really hard to tell but we can try it but i think it'd be really hard i mean if it was also based upon topical stuff you might be able SPEAKER_167: to tell twitter's grok or x's grok from the others because it has topical information it has access to SPEAKER_81: real-time information yeah i don't know yeah anyway super interesting yeah uh okay what do you SPEAKER_96: want to get these guys i give them an a i give them i'm gonna give them uh i'll give them a b plus i have to play with it more but i think like yeah it looks like a really good start the next one is a SPEAKER_01: is a two-part demo i want to basically you know talk about sort of the console that we have at grok and then show something that someone's built on that okay and so um this is our uh playground at grok and basically here you can use the different models you can get the code to integrate this into your application and so we hope people come and use this and it's been you know really well received we have over 16 000 developers building on this right now but more importantly what i want to show SPEAKER_95: is what someone has built with this which is pretty cool we saw like an earlier version of this in the last episode and so we can say uh abraham lincoln tell me about his life i am a let's just say seventh SPEAKER_01: grader so you say kids are in school they have to do this and basically um what this will do is it will go and create um sort of a framework and you know we saw this last week and it's off doing this right now and it's creating like sort of a study plan and once this is done then you can kind of double click into each of the areas and it will generate those as well ah and so i can go here and i can say you know education and what it's going to do is it's going to use the sort of like you know grok on the back and you can see how fast this came together wow and basically give you us you know the history SPEAKER_17: of abraham lincoln's education amazing yeah i mean this is like that website we saw last week but just SPEAKER_01: done really quick yeah really cool what we're seeing here is you know the ability for people to create and imagine you know for folks that are learning now because we've been talking about you know tutoring and using an llm and you can obviously just have this as a chat but as folks kind of create these applications the the ability to one do this quickly uh and to do it with kind of decent accuracy is is going to be really powerful for you know education more broadly and i think my general feeling here is that for education in the next five years it's and i don't know if you've seen the sal khan talk on the two his two sigma talk ted talk yeah where he you know talks about like the impact that tutoring can have on folks well from an ai perspective these tutors are effectively free you know if you think about a cost base of an open source model you can get a million tokens out for you know 25 cents and so um and that's you know it's going to continue to get lower so i think the cost of education and tutoring is going to zero which is awesome because it's you know and that's SPEAKER_148: hugely deflationary for our society yeah then we just get to the m word which is really hard for people SPEAKER_17: um to reconcile which is motivation because you know if you look at uh what coursera edx and a number SPEAKER_148: of the ivy leagues did putting all of their courses online you can take an mit macroeconomics microeconomics course the stanford one everything's online and then i go watch the videos and they have SPEAKER_36: a hundred thousand views two hundred thousand views and you're like okay you know mr beast is getting SPEAKER_148: you know whatever hundred million views something incredible billion views you know for some exciting fun content you know stunned whatever and then you have this incredible content um that is educational SPEAKER_17: where people could you know really enhance their career and you we still got to motivate people to go SPEAKER_148: watch it and to go want to consume it and so one of the things i've learned over time is that you SPEAKER_17: know you can have all the educational material in the world but motivation is critically important i think where ai could really uh start to shine is by motivating people to you know get through the course right i know it sounds silly but if you have some early success let's say it's teaching you math and it and it gives you some encouragement hey you got something wrong hey don't worry about that most people 78 of people get this wrong here's how you can learn it and never get it wrong again these are the techniques that really smart people use to do process of elimination on a multiple choice test we know it can't be answer a or c so then it's b or d and d is all of the above so it can't be d so you might as well go with b it's pretty obvious you know it could teach people those tricks that uh a kaplan tutor or whatever those tutors are that rich people use to ace these exams and that's where i think sounds silly but a robot you know an ai is going to maybe motivate people more than these SPEAKER_314: unbelievable youtube videos sitting out there waiting for people to consume them yeah and it can be SPEAKER_63: customized right like what you can do is if you're trying to teach your kids and they're really into unicorns right you can basically make the entire math lesson built around unicorns i don't know if you've tried that with your kids but i suggest you do where if they're not really taking a concept if they're not understanding a concept they're looking for some help you know go in your favorite lm of SPEAKER_01: choice here and basically make a math lesson that's and again i'm just assuming they like unicorns and say make it based on unicorns and it'll talk about you know you can this is a school of thought there's SPEAKER_87: a school you know you've heard of montessori there's another student-centered approach called SPEAKER_00: reggio emilia r-e-g-g-i-o-e-m-i-l-i-a it's an education philosophy and it's focused around SPEAKER_17: self-guided curriculums and experiment experiential learning the program is based i'm reading from the SPEAKER_148: wikipedia here on principles of respect responsibility and community through exploration discovery and play the core of the philosophy is an assumption that children form their own personality during the early years of development and that they are endowed with a hundred languages through which they can express their ideas the aim of reggio approach is to teach children how to use these symbolic languages painting sculpting drama in everyday life the approach was developed in world SPEAKER_16: war ii yada yada yada anyway when my one of my kids went through this orcas were what the kids SPEAKER_17: were really into that semester and so they did math by weighing orcas and you know traveling distances and orcas traveling the pacific ocean and then doing math that way and obviously people just get SPEAKER_30: really enamored by it so i agree customization and motivation is where this stuff could really really SPEAKER_17: shine yeah it could be amazing yeah so so grok i'm gonna give it a b plus because i want to keep you hungry i would give it an a i'm a shareholder i'm trying to be objective i'm giving you i can't grade myself so you gotta go with the b plus yeah it could be better still work to do still work ahead SPEAKER_01: for the team yes we got more work to do okay last one last one for the day so this is you know kind of a little precursor to one of our bets and so what this does um this is a model created by some folks um in the institute for intelligent computing in at alibaba and what this is doing is it basically can take it can take a static photo and then it can animate that photo uh to a song what you'll see SPEAKER_277: here is uh you know we can take this um audrey hepburn and we can basically play this and it's crazy SPEAKER_01: and so i mean it's crazy yeah and uh this is a good one this is uh a young leonardo dicaprio looks familiar the age of folks that he uh dates yeah and um as you could you could see him so able SPEAKER_342: to drive but not able to drink and he said it's like a play date but a vacant retreat like a vacant SPEAKER_01: mayday this beat is cray cray ray j h a h a h a yeah so in our bet like with someone coming up and creating something that is fully done through ai um you know we've seen voice generation now we've seen people be able to take static images and create you know an incredible sync to the words that's what i really wanted you to focus on here yeah is that not bad yeah it's like i mean it doesn't SPEAKER_57: quite pass the uncanny valley for me but i'll tell you what's interesting this is where we if you scroll SPEAKER_17: up they have the um ai lady from sora remember that incredible video of the woman yeah with the sunglasses on walking in tokyo yeah yeah so now this is where ai this is like the snake eating its tail these geniuses over at alibaba doing this decided well let's take an ai character from sora David Friedberg: feed her into our model and let's hear what her voice sounds like right so now like sora lady ai SPEAKER_352: sora maybe her name's sora i don't know yeah is singing in this video and it's crazy and now you know SPEAKER_176: we might this person could become sentient at some point i think that's sort of where we're headed with agi is that this person could at some point become a sentient creature with their own motivation their SPEAKER_96: own desires and wants and remember max headroom max headroom yeah i think he got canceled for SPEAKER_359: making fun of people who stutter oh really yeah no i mean that was his thing is that he stuttered right SPEAKER_00: like he yeah like the computer stuttered and yeah i give this one also a b i think this is really solid it doesn't quite get it perfect yet okay and i think that you know the the sinking of the lips looks like it's like 80 90 percent of the way there so i think maybe it's a couple revs away from where if you showed it to me and it wasn't somebody i recognized if it was just i was scrolling through tiktok or youtube shorts and i saw it i wouldn't know right and that's really i think when that's why doing mona lisa or the sora ai woman or audrey hepburn kind of ruins it for me because we know it's David Friedberg: not them you know like we know that's not leo's voice yeah so it'd be better anymore when it's a whole SPEAKER_01: character that you know doesn't exist then you can it can be much more believable or it's using leo's SPEAKER_148: voice and you're like oh i didn't know leo could rap you know yeah that that's i think the problem SPEAKER_17: with the demos so i just suggest to people when you do demos don't use famous people because we know what they sound like we know it's not them we know that they're not going to sing eminem in all likelihood so just pick a generic character or a civilian and then do that interestingly i saw on either tiktok or youtube shorts that a woman who is like a social media influencer was in an SPEAKER_57: advertisement for some like really uh personal hygiene products uh or medicines and they had SPEAKER_17: taken her image from her instagram where she was talking about some very personal things that had happened to her it's like a very serious okay kind of confessional type thing she did on hers somebody SPEAKER_57: took that video used it as the ai training data and made a character to then go sell feminine SPEAKER_148: you know pro properties in ads and so and like 10 of her friends showed it to her said oh wow SPEAKER_57: congratulations on getting this advertisement and then remember we said the other week that uh SPEAKER_154: andrew huberman is that his name the yeah yeah the uh the stanford health yeah that guy was somebody SPEAKER_17: was using a clip of him talking about some compound on joe rogan and using it in an ad and then we've SPEAKER_74: all seen elon for bitcoin other famous people for bitcoin ai ads well did you see that thing that SPEAKER_22: there's that one like asian elon and then someone was saying like he may be ai generated yes i think SPEAKER_377: that he was around before all this stuff you know musk tesla it's like he's like a samurai or something SPEAKER_00: it's hilarious but yes they did an examination of it and they think it's ai related that makes sense and SPEAKER_96: then there's ai tom cruise somebody who looks sort of like tom cruise and then yeah they do that so SPEAKER_00: this is going to open up a whole thing because the huberman one isn't ai they just took him and then placed an ad on it you're not allowed to do that folks like this is a person's likeness you're not allowed to use it in your ads i had this happen to me twice in the last year where somebody SPEAKER_96: used me in an advertisement and i was like yeah you can't do that i mean oh you can if you pay me SPEAKER_197: what do you and what do you do about it when it happens like how do you i just you know i emailed the person i just you know i have somebody on my team email them and say okay i got it yeah it wasn't SPEAKER_384: like meant in a bad way but i had said something i liked about a product and then they clipped it and SPEAKER_00: then they bought ads yeah and i was like hey time out you can't use my likeness in ads and then i told them like here's the fee for that yeah if you want to do that you have to whatever your ad spend is you know if you're spent a hundred thousand on ads you've got to pay me 20 of that number yeah and i have to approve the ads and we have to agree on it in advance so you know like if you were going to spend a million dollars on an ad campaign let's say yeah and you wanted me to be the spokesperson a spokesperson would get like 20 of the ad spend oh wow is that how it works that that's i think how it works yeah so they look at how often you're going to use them in a t-mobile ad and then they negotiate backwards from there so you're going to spend you know let's say you want one of these satin net live actors right and it's going to be a 10 million dollar ad spend for this campaign SPEAKER_176: okay well if you want to use this person from chloe you know the worst one who does that's who's really good chloe fineman or whatever her name is she's really good yep if you wanted to use her SPEAKER_148: you know a reasonable fee would be a million or two million dollars if you're doing a 10 million dollar ad buy to have her as the spokesperson if not you could just hire an actor for a hundred thousand dollars who's not famous and spend one percent but if you want a famous person maybe 20 even 30 something like that um and so i've had people ask that to for me as a spokesperson i just SPEAKER_176: said yeah whatever your ad spend is you know at 20 of it they decline under all these uh hollywood SPEAKER_400: types go and do those ads in asia oh yeah well that's like then they just say yeah you know SPEAKER_148: whatever your ad spend is fine but we want 10 million on the way in we want five million on the way in if you want george clooney for an espresso and i think over there they don't have to worry SPEAKER_176: about like movie stars aren't supposed to do these things right yeah what i like is i think you know SPEAKER_17: gwyneth paltrow's approach which is she makes the product so you know if you want a goop kitchen salad it's like well yeah this i i constructed the salad this is the salad i eat so if you want to eat it too SPEAKER_00: so you know she owns the product she's selling yeah i think that's like actually the SPEAKER_346: dopest model of all of these things so i give this uh yeah b plus this is a solid b plus they're off to the races with this yeah emote portrait i'm in the same spot as you like you said it's not quite SPEAKER_22: perfect but it's almost there and i think got three more months to win some of my bets and so i'm going SPEAKER_52: to be cashing in on some of these yeah i know we're gonna have to have a little settle up episode SPEAKER_148: and i think we have to bring producer nick back to be the judge i think we just let him judge if SPEAKER_36: there's any gray area oh i like that idea yeah because you know i think a lot of these are going to be in like to the point of how well this is going you know we're going to have to debate exactly who won right SPEAKER_148: it's not like it's a sports score we have an over under and it's pretty clear mathematically a lot of SPEAKER_00: these are going to be judgment calls you know we set up these tests but yeah yeah it's going to be SPEAKER_148: hard to know um all right listen congratulations on the uh amazing acquisition uh you're still going to do mondays you're not going to be like all hollywood on us post money sunny you're still here you're SPEAKER_411: going to do the work every week we love doing these we love doing absolutely and it's been great SPEAKER_148: to have you do this gives me another excuse to see you if you want to see all the demos this week SPEAKER_00: in startups.com ai this week in startups.com ai do a search on youtube for this week in startups go to the playlist subscribe to the channel put on the alert we do a lot of shorts of these which works SPEAKER_148: out great yeah this week in startups.com bets to see our bets that we're making we keep a track of that as well and you can follow sun deep on x x.com sun deep s-u-n-d-e-e-p i'm x.com jason i'm instagram.com jason and uh if you want to be one of the 4 000 people waiting to be accepted by sandeep madra do a search on linkedin if you add me you can follow me on linkedin unfortunately on linkedin SPEAKER_176: my strategy in the early days when i was you know trying to you know get my name out there was i had an intern for 10 bucks an hour in santa monica and i gave them my social accounts and i said SPEAKER_414: just follow everybody anybody who has to follow just reciprocate so on linkedin i added everybody SPEAKER_17: anybody who asked i added and then i said just anybody was like a ton of recruiters though and and like those services unbelievable yeah so now my team has to go unfollow 100 people when i have real contacts to add so i'm at 30 000 contacts always have been yeah and they had this like really interesting thing in the early days of social you could upload your address book yep and then export your address book so this really clever intern i had i forgot his name he was english anyway okay this kid was really smart he would upload our address book he asked everybody else SPEAKER_00: for their address books and then he had he just manually sat there all day following people on twitter and linkedin yeah and adding them and then they would always reciprocate back if they didn't he would not he would unfollow them to open up the slot and he just did this manually and what it did was it just made me like one of the top users on all these platforms and then like who is this guy and then when i shared something like a blog post it got out there so yeah yeah it was a really SPEAKER_93: interesting idea maybe i'll go bulk accept all 4 000. i mean i in the early days when somebody added you you just wanted to make them feel good so you just said yes and then you know in the early days SPEAKER_428: people would email me you didn't accept my thing and i'd be like okay just i told my intern just SPEAKER_00: accept everybody it's too controversial and you're right now it broke all my socials because yeah i but i did i was following 25 000 people on twitter and then i used one of these tools that allowed you to you purge i purged it well you know the thing is it wasn't one of these things where in the early days of twitter ev set up a thing for me and scoble if somebody followed us SPEAKER_187: we had a little check box to auto follow them back okay oh wow and they just did it for us like manually and then i asked them to turn it off um because then they were like that's not the social SPEAKER_00: dynamic we want on twitter we want you to think about if you want to follow them back or not SPEAKER_187: and i was like fair enough but then i had i was following 30 000 people and i think the ratio of your follower count is deterministic uh to how you your tweets spread so you see some people who have like they're following 30 000 people and they have 30 000 one followers they're one-to-one their tweets do not get followed and so obama did the same thing if you go look at obama he's following everybody when he was going to run for president in the early days twitter they did it for him as well and i think he's following 500 000 people you're like oh my god obama follows me it's like yeah and the first SPEAKER_96: 500 000 users on twitter yeah so don't feel too special uh if you have a startup and you want to SPEAKER_00: come to my founder university it's founder.university also i'm hosting an event in june for lps gps high net worth individuals angel investors family offices sovereign wealth funds it's called liquidity liquiditypod.com you'll see the podcast and you'll see the event june 2nd 3rd and SPEAKER_176: forth no founders no service providers so if you're a lawyer accountant etc you can email SPEAKER_148: partners at launch.co to buy everybody lunch that's the only way to get in because we don't want too much selling you know uh at the thing and no founders sorry to find the one last year it was SPEAKER_176: awesome great talks uh yeah it was it was really i mean we had some pretty good heavy hitters there we had all the besties this year we have three or four besties sax can't make it but freeberg and chamath are coming so we'll have like a you know three or four of the beatles and then um pejman from pair is going to come uh gavin uh baker is coming back he's going to do one steve jersey couldn't make it so we're starting to get oh everybody aligned um phil deutsch is coming deep state deutsch is going SPEAKER_17: to give another talk i want him to give a talk about data centers and energy use for ai so that should be a really good one okay because you know they're saying like we're going to need more energy and he's an energy investor and like this i according to reports we don't have enough energy to power the amount of data centers we're talking about so that's going to be really interesting and people SPEAKER_176: are starting to put their data centers near nuclear power plants i don't know yeah amazon just did that SPEAKER_26: right there with their latest data center in the us i believe right well i think this is what's going SPEAKER_148: to make you know people are now starting to think positively about nuclear again i think that ai future is going to force the the issue yeah because if you want ai to solve problems well you didn't have to accept nuclear if not no nuclear i don't think you can power all this stuff with coal or gas like that's not good for the environment and i don't i don't know how much solar you would SPEAKER_96: need to power giant i mean it could help but i don't think you could power the amount well that's SPEAKER_01: what i wanted to calculate how much solar would you need yeah exactly but then you end up with SPEAKER_160: batteries too right because you know so you have a nuclear makes a lot of sense here okay that's a good SPEAKER_148: lineup that's a good lineup i'm just getting started i'm going to bring some of the sovereign wealth funds that people haven't met before so i'm going to try to round them up so you know if you if you have any ideas for me of lps of note gps they're all signing up because you know they want to meet lps but i'm trying to bring some strategic lps who want to you know meet new fund managers existing fund managers it's just it's a boondoggle let's be honest it's you know you get there on sunday night you have dinner and poker then monday this monday will be all content with a beautiful lunch in downtown napa okay because i moved the hotel to downtown napa so we can walk to the restaurant so i got a new hotel in downtown napa so you can walk to lunch and they have afternoon session then monday night nice dinner with the speaker maybe maybe that'll be the besties and then poker late night tuesday morning we'll have more content then a nice lunch and then tuesday afternoon you go do an event an activity like we did last year clay pigeon shooting napa paddle river paddle boarding you know go make cooking classes wine tasting you know uh poker lessons all kinds of fun stuff that you do socially and then once again dinner and poker and then wednesday closing SPEAKER_00: brunch so i just make it so you get a lot of down time to do meetings and stuff like that yeah it's SPEAKER_460: like a little bit of a getaway but you can also yeah you can bring your spouse too yeah yeah amazing SPEAKER_00: kind of thing we do i slipped in some spouse tickets people like hey my spouse wants to come to come to the meals but they're not going to come during the day some suggestions for guests to you yeah please yeah i want to bring some lps and stuff like that you know i don't do it to make money this one i do this because i've never had an lp function inside launch and now that i'm on my fourth fund and it's getting bigger and you see me traveling to the middle east you can fill in the dots i'm having to interface with bigger and bigger lps and learn that part of the business you know i know how to find companies and invest in them i've done pretty well on that yeah but i don't know how to manage lps yet and that whole infrastructure piece and that's like you know that's the other half of being a fund manager is managing lp relations and i'm just adding that you know and hey listen you're you're doing so well so we may have to up your lp commit now yeah we have to up that lp commit a little bit maybe we have to maybe make you a major lp SPEAKER_468: let's all make some money all right congratulations again are you really excited about this journey now SPEAKER_01: it's really fun i mean the ai stuff we've been doing it now for you know close to a year and just being at the center of it and also just having the ability to power a lot of the developers i have to say the most exciting thing is being at the center of a developer community and um you know through all the different things i've done throughout my career we haven't really done that and seeing everything that's happened and i and i'll tell you if you just go to you know twitter and do a search for grok with a q or at groking incredible and just see the stuff that the developers are putting out there it is just mind-boggling yeah it's a great thing about SPEAKER_36: having a platform and getting if you if you do get developer engagement they're going to like push your SPEAKER_148: platform to the limit they're going to break it they're going to make cool stuff that you wouldn't SPEAKER_01: have thought of it's really awesome yeah they've already been doing it and you know what really appreciate them and it's awesome and that's just you know i'm really really excited of the opportunity we have here and what we're building now and continue to make that available to other folks as well you know i'll tell you maybe a closing story here one of the one of the companies that we demoed and i'm sure others will get in touch over time as well but like i just saw it in my email before we started today mindy i don't know if you remember it was like the email assistant yeah and SPEAKER_63: they raised a bunch of capital so they emailed me saying hey thanks we saw you on there oh guess SPEAKER_28: what we basically signed up for the api we're going to use the grok oh nice full circle love it yeah yeah SPEAKER_263: full circle uh all right everybody we'll see you next time bye-bye