Last night I encountered a 3 min+ ad on YT about the construction of the iPhone 17 Pro. A few seconds were devoted to the cooling system. I watched the whole thing. It was better than the video it interrupted.

https://youtu.be/_-AS5DtDeqs?si=rTfubRDArVupqREt

There’s so much conflicting advice out there. Reality is: When you want to go from overweight to healthy, nothing beats calories in/calories out. Beyond that, like if you’re on project “visible abs”, tweaks might make the difference: you could go deep into the rabbit hole of insulin, anti-nutrients, etc. but then: what works for you, is probably different than what works for others, so there’s a lot trial and error.

That being said, the key to all of this is discipline and consistency.

So, for a book, pick one that you find plausible, entertaining (in terms of reading and in terms of trying the recipes and protocols), and that aligns with your lifestyle or the rate of change you’re willing to accept.

For me, I started with 4 Hour Body. This might not not perfect from today’s knowledge but I liked the way, Tim is presenting the material, his way of thinking and the pragmatic approach. From there on, and after seeing significant and fast results, I went down the rabbit hole and tried almost every “biohack” routine i could find.

Try a couple of books, then pick the one that you enjoyed reading the most and then mercilessly stick to it to the letter. That should help. If it doesn’t, try the next one. Not a single human being in history lost weight from just reading. Take action!

"All is Lost" (2013) funny enough got me interested in offshore sailing in my late teens.

Incredible performance by Redford, first film that really left an impression on me. There is only one or two lines of dialogue in the entire film.

https://www.imdb.com/title/tt2017038/

https://www.rogerebert.com/reviews/all-is-lost-2013

>I’m not sure how you got that 2.2% of 18.5 trillion in GDP attributed to labor is 61 billion

The number I googled for 2024 US GDP was 29.18 trillion, so thats part of it. I'm flexibke enough to adjust that if wrong.

>Additionally, you seemed to have pulled the cherry-picked quote and compared with the “current” impact and ignored the immediately following text on latent automation exposure

There's no time scale presented in that section thst I can find for the "latent" exposure, so its not very useful as presented. That's why I compared it to now.

Over 5 years; I'm not sure but it can be realistic. Over 20 years, If the US GDP doesn't absolutely tank, that's not necessary as impressive a number as it sounds. You see my confusion here?

>that explains how it could have a greater impact that results in their 2.3t/39m estimate numbers.

Maybe I need to read more of the article, but I need a lot more numbers to be convinced of a 40x efficiency boost (predicted returns divided by current gdp value times their 2.2% labor value) for anything. Even the 20x number if I used your gpd number is a hefty claim.

>Or presented a better metric than my formula above on interpreting "impact". I'm open to a better model here than my napkin math.

This is outdated information. X was profitable and valued at 90% of its purchase price according to valuations by its creditors as of last year, prior to the acquisition.

The vast majority of advertisers returned, including large ones like Apple plus their expenses were reduced by over half.

Did you see Google or facebook or Miceosoft customer databases breached ?

The issue is there is too little repercusions for companies making software in shitty ways.

Each data breach should hurt the company approximately to the size of it.

Equifax breach should have collapsed the company. Fines should be in tens of billions of dollars.

Then under such banhammer software would be built correctly, security would becared about, internal audits would be made (real ones) and people would care.

Currently as things stand. There is ZERO reason to care about security.

OpenAI - DoD invested in them and now I guess you agree with it!

Anthropic - same as above

xAI - same as above

CoreWeave - Doesn't make LLMs

Glean - Doesn't make LLMs (wow this startup investing thing might be harder than for you than you thought!)

Perplexity - Has finetuned LLama models AFAIK. Maybe you think Meta should've gotten the nod from DoD as well?

PlayAI - AFAIK only voices

Cohere - Not sure if they are LLama or otherwise

Cyera - Doesn't make LLMs

Replit - Doesn't make LLMs

Windsurf - Doesn't make LLMs

Mistral - Does make LLMs, you got one! Is French, though.

Anysphere - They make an IDE called Cursor

Scale - Doesn't make LLMs, basically a Meta subsidiary (you really must have wanted Meta to get the nod too!)

Harvey - Legal focus, not general

Thinking Machines - Mira Murati's company, just started 5mos ago, no public products. Definitely don't fit your definition of "has revenue"

helsing - Hadn't heard of them, are German.

Cluely - LOL

Suno - If the DoD gets into music generation this would be a great choice.

Clay - Don't know them, doubt they have LLMs.

Crunchbase - lol is correct

Lubega Geoffery - No idea

Caris LIfe Sciences - Life sciences doesn't sound right!

C3 AI - Scam

Runway - Media generation, not general use

LangChain - Doesn't make LLMs

Rigetti Computing - Dude, come on. They're a quantum computing company

Cowbell - Don't know them, but a google shows they're an insurance company lol

Almost all the rest don't even have anything to do with AI. So all-in-all, nearly a complete failure at suggesting even close to 20 alternatives for the DoD to invest in. Your answer didn't even hit US companies that do have some alternatives: Meta, MSFT, AMZN, SSI maybe?

> I’m specifically talking about a case where a sold by Amazon item came from co-mingled inventory from a FBA seller.

The FBA terms I quoted specifically say that Amazon can co-mingle FBA inventory with their own (if the FBA seller doesn't opt out of "virtual tracking").