Essentially what you're trying to do is you're trying to convert data into information. AI struggle sometimes is it has to read a large swath of multimodel data at all times and convert that to information which could be a small little nugget that you actually need. You don't need to move large swats of data every time you need to do something.We're just going to focus on the metadata layer and that gives you context and converts data into information in real time. Right. So as soon as the data comes in, ho ...

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RT s4mmy (@S4mmyEth)If Compute + Data = IntelligenceWhat’s stopping China from achieving AGI first?Insane electricity generation to power their GPUs (and in turn drive compute).What data sources are they using to train their models? https://t.co/EBKxRCYz3w ...

If Compute + Data = IntelligenceWhat’s stopping China from achieving AGI first?Insane electricity generation to power their GPUs (and in turn drive compute).What data sources are they using to train their models? https://t.co/EBKxRCYz3w ...

There are a lot of vitriolic takes flying around the timeline today about y4p farmers/etc...and a decent bit of it is rightly deserved imoThat being said, I'm of the opinion that people are the issue, not data...and I'm always looking at new and interesting use cases for data.Today we see another Kaito-powered project relating to sentiment scraping and CT opinions called Trends. I hadn't heard of this one before, but I'm trying to give a look at basically all of the things they're powering because I really ...

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I I'll tell you a story like early days like I was 30 60 days in you know I brought Ali Mate Arcelon we went and met uh JP Morgan Chase this back in like early 2016 but anyway they're like we'll give you 10 million bucks to put this and at the time we're less than a million like our whole first year targets like 10 million to put it on prem and Ali was like no way we're not doing anything on prem he couldn't get out of the meeting fast enough right because his vision and the founder's vision was all around ...

One of the smartest things we did at data bricks was we priced based on consumption. So you could start super small but as you start to consume more it could get super big and then we expanded to multiple products all that kind of thing. But if you think about data and AI data is growing the number of queries you're going to do or grows.So having a consumptionbased model is super smart. I see this mistake a lot like people be like oh I'm going to price on users. There's a cap on users and you know if the ec ...

training a model to the journey now of us uh uh taking advantage of these incredible frontier models and AI models and turning them to AI applications that are for inference and and solving solving large problems. One of the most important things people forgot uh is the importance of uh data that is necessary uh during application not just during training and so so of course you want to train on a vast amount of of data for pre-training um but during use the AI has to access information and uh AI would like ...

RT Bloomberg Opinion (@opinion)Will Jerome Powell make it clear that he bows to no one except the data? 📊Tune in for Fed Day 🎥https://t.co/VrIJWN8ERR ...