Join me on my journey to demystify crypto and AI. I simplify complex concepts. Check my book on AI - https://teapaw.org/t.co/amxFO0ocz6 . Web2 founder, author, PhD
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Joined May 2021
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The recent "counter-hack" that recovered $225M of stolen tokens sets a great example for the crypto world! 🚀
This case demonstrates that just because you use crypto tokens doesn't mean that you have a decentralized solution.
Read on to know why.
teapaw.org/MilkRoadDaily/status/1…
Farooq Anjum (fanjum.btc) retweeted
Cohort 13 of the "Building Machine Learning Systems That Don't Suck" program starts tomorrow.
There's no better place to learn how to build Machine Learning systems that work in the real world.
It's a live class. It's tough. It's a ton of fun.
ml.school
Wow; this is really bad.
This is an easy way to steal money from anyone. Another vector that Apple should check for esp for crypto wallets.
Download your wallets from the official source.
PSA: The Leather Wallet app currently in the iOS store is FAKE 🚨
⚠️ Do not download it, and definitely do not input your seed phrase.
We promise we'll let you know once our mobile app is actually ready!
Leather should only be downloaded directly from leather.io.
We need to improve the capital efficiency in lending markets.
Undercollaterized lending needs to step up since it is not as prevalent as it needs to be
@WildcatFi doing a great job at filling the gap here.
We've moved onto the podium in the undercollateralised lending category on DefiLlama!
With US$25.6 million in TVL, @WildcatFi is now the third largest credit facilitator on any chain.
Not bad for something three months old!
A very interesting panel @EthereumDenver if you are interested in DeFi lending
@euler_mab and @functi0nZer0 talk about two different approaches to DeFi lending - overcollaterized and undercollaterized
listen to the recording to get interesting nuggets about lending,risk mgt etc
How Modularity Drives the Next Wave of DeFi Lending
Presented by @euler_mab from @eulerfinance,
@functi0nZer0 from @WildcatFi & moderator @ljin18
from @variantfund.
Watch the full video below 👇
So Bitcoin spot ETF has been approved.
You might be wondering how to react?
If so, check this information rich thread by @CryptoGirlNova - high quality opinion like always from her.
I look at that slightly differently to keep the inputs similar.
So in one case the algorithm figures out the patterns in historical data to create models while in another humans figure out the patterns to create models.
Then the model is deployed to make decisions/predictions.
The attached picture is the simplest explanation of Machine Learning I've seen.
Programmers write rules and apply them to data to produce answers. But if those rules aren't obvious, they are stuck.
With Machine Learning, we don't write the rules; we learn them from data. That's a superpower!
Think about how we learn:
We look at things, discover patterns, and then generalize those ideas whenever we see something similar.
That's the same principle behind Machine Learning: we use existing data to infer the answer to similar, future samples.
It's 2024. The best time to start learning Machine Learning is now!
(The picture is from @fchollet's Deep Learning with Python book. It's a genius representation of the differences between the two fields.)
Interesting to know that coffee was once a topic of massive backlash.
Just like AI is nowadays as @Dan_Jeffries1 points out
Here's the story of another technology that faced massive backlash in its time that will sound very familiar to today's battles over #AI.
Coffee.
a thread.
Yes I found this aspect of hauling snow fascinating to watch; I have lived in several places where it snows but never in a place where snow is hauled off
This quoted post is unavailable.
Rollups and TV channels have something in common - had you thought of that?
If not, check out the similarity between them as pointed out by @sgoldfed
How many rollups will there be?
I don’t know, but a helpful analogy that I’ve found is TV channels 📺
Clearly having all TV shows on a single channel won’t work. There’s just too much programming.
But equally clearly it wouldn’t make sense for every TV show to have its own channel. We’d end up with channels that had no programming for most of the day. And each one would have to find its own advertisers, distributors etc. And discovery of new programs would be a nightmare.
The system we have today is a natural one — channels are loosely organized by genres. If you like cartoons, you can watch the Cartoon Network. If you like nature, you can watch the National Geographic channel. And it’s not always an exact science — cartoons about nature could go either way.
I envision a similar world emerging for blockchains. Each app won’t have its own network, but likeminded apps that appeal to common users will form their own networks. We’re already seeing this with DeFi and gaming but I imagine that many more verticals will emerge over time. And it makes sense. The network can be tailored to those apps and users will be able to easily engage with and discover similar apps with no friction.
So will we ultimately have a dozen networks? I think so. Will we have millions? I think not. How many exactly will we have? Only time will tell.
In case you are wondering why the jump in crypto prices today.
And this is good for the crypto space in the long run too
Since this can lead to better regulation as opposed to ad-hoc "mood based" regulation.
Farooq Anjum (fanjum.btc) retweeted
1/ Grayscale's victory over the SEC is *massive.*
It's very rare for a federal circuit court to find that an agency has violated the APA by acting arbitrarily and capriciously.
The DC Circuit just delivered a huge embarrassment for the SEC.
But the ETF isn't approved yet 🧵
An interesting service being performed by @l2beat
They independently ensure that the behavior of L2 chains is as expected and this is a vital service
Crypto is going to be the basis of the next revolution but the way to get there is paved with all sorts of issues.
Look at one such issue highlighted in this thread by @Axel_bitblaze69
Learn and protect yourself.
I have been quiet here on this platform although I have been busy building leveraging the tools of AI and crypto.
Recently I had a chance to discuss my thoughts on AI with @FaisalWattoo19 on his show.
We discussed several questions such as
1) what are AI systems?
2) what is chatGPT and will it take away our jobs
3) how to get started in this space of machine learning?
Check out the detailed discussion at youtube.com/watch?v=WOx8KbEY…
That's a wrap!
If you enjoyed this thread:
1. Follow me @blockchain092 if you would like to see more such information 🚀
2. Feel free to DM me
Koreans are crazy for crypto but not for DeFi.
If you are curious to know why, then read this thread by @DefiIgnas
1/15 Korea, the 3rd largest crypto market, flies under the radar on Crypto Twitter.
After living there for 8 years, I learned about fascinating differences in their crypto mindset compared to the West.
Here's why Koreans are crazy for crypto but not #DeFi 🇰🇷
