I just spoke to myself, and it was weird.
You can now clone your voice using a few seconds of audio, give the robot personality, and deploy a clone of yourself.
Here is a step-by-step process on how to do this in less than two minutes:
Models trained on the current internet will contain an unknown but material amount of synthetic content, which will only increase over time.
The orouboros of the modern era, an LLM snake eating its own tail.
@NYTmag If you are the volume of a quiet library (40 decibels), then Jeff Bezos is the volume of a jet taking off (100 dB - this is a weird one but decibels are a logarithmic scale ok!).
I was asked to compare US household wealth to Jeff Bezos’ wealth for @NYTmag. But the problem is, the scale is so so so so vastly different that I either needed a much bigger magazine or I needed for all of you to get much stronger eyeballs. https://t.co/wt8LmAwaMZ
An explainer on what is going on with Silicon Valley Bank:
- In 2021 SVB saw a mass influx in deposits, which jumped from $61.76bn at the end of 2019 to $189.20bn at the end of 2021.
- As deposits grew, SVB could not grow their loan book fast enough to generate the yield they wanted to see on this capital. As a result, they purchased a large amount (over $80bn!) in mortgage backed securities (MBS) with these deposits for their hold-to-maturity (HTM) portfolio.
- 97% of these MBS were 10+ year duration, with a weighted average yield of 1.56%.
- The issue is that as the Fed raised interest rates in 2022 and continued to do so through 2023, the value of SVB’s MBS plummeted. This is because investors can now purchase long-duration "risk-free" bonds from the Fed at a 2.5x higher yield.
- This is not a liquidity issue as long as SVB maintains their deposits, since these securities will pay out more than they cost eventually.
- However, yesterday afternoon, SVB announced that they had sold $21bn of their Available For Sale (AFS) securities at a $1.8bn loss, and were raising another $2.25bn in equity and debt. This came as a surprise to investors, who were under the impression that SVB had enough liquidity to avoid selling their AFS portfolio.
Well Meta's 65 billion parameter language model just got leaked to the public internet, that was fast.
Get ready for loads of personalized spam and phishing attempts. Open sourcing these models was a terrible idea
ChatGPT cannibalizing their own $20 a month chat service with a $2 per million tokens API is kind of interesting
We’ll definitely see open source interface wrappers around the new API now which seems to be much cheaper, $20 would get you 10million tokens
"NFTs archive media!" no, it's all pinned on IPFS or worse.
"NFTs are for everyone!" no, check out the gender gap.
"NFTs pay royalties!" no, it was just customary for a bit.
"NFTs last forever!" ok, yes, if forever means "one year".
original diagram: https://t.co/wSFKuPCyUP
Launching https://t.co/ZjAei8dN5Y 🚀
If you review pull requests, it will blow your mind.
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But this begs the question - when compute is no longer an edge and you have used all the available text on the internet what is the sustainable edge?
Unique usage data
Unique content
Unique talent
Unique product
Unique business model