steveBK123
Joined 6 years ago
Joined 6 years ago
These complex securities they took a mark on only exist as a way for them to access compute at deep deep discount by issuing suppliers lottery tickets.
Post IPO when they don’t have lottery tickets to issue as easily the numbers should be interesting.
The winning business model may be 1 or 2 abstractions removed from "build a really good LLM model", and yet to be revealed in the marketplace.
Exactly You can't wait to IPO until you're already one of the 10 biggest companies ever AND also grow 2500x post-IPO.
Retail is now exit liquidity for Big VC.
Companies are staying private longer, raising many orders of magnitude more private funding, and IPOing straight into "top 10 biggest companies in history" size.
If you IPO at $1.5T you are already equivalent to ~1.5% of World GDP.
Thus is just for scale, as comparing GDP vs a company market cap doesn't make total sense since GDP is 1 year economic activity and market caps represent discounted future cashflows of future economic activity...
Let's say Anthropic IPOs at $1.5T and grows even 1000x over 20 years, it would be worth $1.5P (petabillion?). If it had a 20x earnings multiple like google this would imply Net Income of $75T. Mag7 total Net Income for 2025 was $500B or $0.5B.
World GDP is $125T, and has grown less than 5%/year before/thru/after DotCom. So lets say in 20 years its $250B and Anthropic is capturing 30% of world GDP in earnings (not revenue, that would be even higher)!!
So the math doesn't math.
Rather than the multi-decade consensus "if it lowers consumer prices in short term its ok" or 2024+ "if they donate to my ballroom, they get a pass".
They've made all the delivery slower and added an option for you to pay $5 more to make it arrive at the speed it used to. We've jacked up fees and added a monthly subscription that reduces some of those fees back down.
As they take a larger cut from restaurants, many have increased in-app prices so you are paying multiple premiums&fees.
First non-cherry picked example I checked first restaurant in-app: $16 dish is $19.20 in-app , $5 delivery fee (flat-ish per order), $2 marketplace fee (scales with order size) to make it $26.80 pre-tax. +70% increase on direct retail in-restaurant price.
* Spain HSR ~45M annual journeys / 30B annual passenger-kms
* Italy HSR ~65M annual journeys / 50B annual passenger-kms
* France HSR ~150M annual journeys / 110B annual passenger-kms
"Italy’s annual high-speed rail (HSR) passenger fatality rate is effectively zero, as there has never been a passenger fatality recorded on the country’s dedicated high-speed network"
"France’s dedicated high-speed lines (LGV—Lignes à Grande Vitesse) have historically maintained an extraordinary safety record. Across several decades of commercial operation since launching in 1981, there has never been a passenger fatality resulting from a high-speed crash during commercial service on a dedicated high-speed line"
Spain by comparison has 2 fatal accidents adding up to ~100 passenger deaths this year alone. Something like 300 fatalities in its history.
This is quite bad.
That said I don't do any local AI or 8K video editing type stuff.
On upgrade I could probably live on a moderate/high spec Mac mini since the only reason I went Studio originally was the resolution/number of displays it could support.
I am a little surprised doing some light searching that its one of the longest high speed rail systems / highest passenger count HSR systems in Europe?
I've only taken HSR in France & Italy and not been to Spain in over 15 years so was not aware of the build out.
If a model is trained on data that shows some bias due to prior human decisions, it would continue to follow those biases while being a lot harder to prove/sue. There were examples of this with AI assisted resume screening & criminal sentencing for example.
Apples iPhone call answering for unknown numbers was OK until all the overseas robocallers made their robot respond somewhat conversationally and hang on the line so that it vaguely looks like a real enough call. I can still tell its a robot since I am not senile yet, but I still have all the notifications about the call/transcription/voicemail/etc to tap.
People deploying agents to call restaurants for reservations works for like the first 10 calls that restaurant gets and now they are going to hang up on everyone's bots. Many websites already blocking agents. Some websites where agents were scraping for reservations/inventory are outright locking peoples accounts. Etc.
https://www.businessinsider.com/resy-suspends-vcs-account-ai...
https://www.cnbc.com/2026/10/13/jpmorgan-ai-agents-account-a...
https://finance.yahoo.com/technology/ai/articles/metas-muse-...
Same idea with all these agents that are going to negotiate our insurance down, haggle with our cell phone providers, and find the best hotel deals.
Your counterparty will have its own agent, a larger budget for that agent, and a lot more skin in the game to ensure they retain their advantage (cell phone bills are 100% of the cell companies income but is only 0.5% of your spending). Good luck.
If I drive a taxi making $200/day and need $150/day of gas.. but convince Shell to take a convertible note instead of $150.. Do I make a) $200/day profit, b) $50/day profit, or c) $200/day - (change_in_value[convertible_note]) in profit?
Some are arguing that C is somehow fake, but its obviously more real than A!