Highest ROI purchases in NYC:
- $3 ferry ride
- In-unit laundry
- Comedy shows
- Espresso machine
- Halal cart chicken over rice
- Living close to Whole Foods
- Doorman building with gym amenities
- Citibike subscription during the summer
- Vibey dining (4 Charles, COTE, Carbone)
Sensational Argentina. What a ridiculous finish from Enzo
Really don’t understand why England parked the bus after going up. Not sure inviting the best player ever and an attack minded side to attack relentlessly for 30 minutes was the best idea.
Caffeine is the most widely used psychoactive substance in the world.
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Everyone sending me DMs to congratulate me on buying a house after posting this
Which is nice but nobody ever congratulated me when I bought multiples of that in Vanguard S&P 500 UCITS ETF (USD) for years
As a new home owner I will continue saying real estate is a shitcoin and it completely underperforms most other asset categories after you deduct the insane taxes, fees and maintenance you pay for
S&P500 TR has consistently outperformed real estate over 10 years, 20 years, 50 years, 100 years
I'm not going to change my mind on this just because I own a house now
I bought a house because I was so heavily invested in ETFs that ChatGPT told me to diversify
And because it was impossible to rent a high quality newly built home that was up to our standards
But it's nice to have something physical I can defend with a gun and a piece of paper once the apocalypse happens, I agree on that
But it's not a good investment comparatively and will probably never be, so I can't really see it as one, it's a nice shitcoin though
One of my favorite applications of LLMs is reading books together. I want to ask questions or hear generated discussion (NotebookLM style) while it is automatically conditioned on the surrounding content. If Amazon or so built a Kindle AI reader that “just works” imo it would be a huge hit.
For now, it is possible to kind of hack it with a bunch of script. Possibly someone already tried to build a very nice AI-native reader app and I missed it.
Our prof asked, “How do we trust AI?” & no concrete answers emerged. At Google DevFest NYC the next day, I came across @freddylecue discussing Trustworthy AI in Finance at @jpmorgan. Insightful session on robust fact-checking techniques he’s implemented.