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- Not adjusted for strain, dose or delivery method across all studies.

- Not adjusted for receptor downregulation, for which rotation and/or drug holidays would be appropriate strategies.

- Not adjusted across all studies for time effect, e.g. 6 hours of relief, 1 hour, etc.

I can tell you from personal experience with a related disorder that disciplined rotation of 10mg edible cannabis provides 90% relief, 90% of the time, with far fewer side effects than alternative medications for the same disorder.

- Amortized training costs.

- SG&A.

- Capex depreciation.

All the above impact profitability over various time horizons and have to rolled into present and projected P&L and cash flow analysis.

USD dominance isn't going anywhere despite hurt feelings over Trump or US policies.

I have many questions:

- Will Meta fuck this up as they seem (in my opinion) to do with most of the acquisitions? Oculus? Drop.io?

- Did they grossly overpay?

- Will innovation slow to a crawl (eg. Instagram, Whatsapp)?

- Will Manus' top talent bail?

- How is it conceivable Meta couldn't build this themselves. It can't possibly have been Manus' user base they were after, can it?

- How much trouble am I in for telling my wife to sell her Meta stock two weeks ago?

The acquisition is confusing to me.

Metals, eWaste, Batteries ... all profitable to recycle.

Paper & cardboard ... depends on market price.

Plastics ... depends on oil prices, market price and type of plastic.

Tires ... usually profitable, usually involves a hauling fee.

AMP's robotic solution is going to face immense competition from general edge models, probably very soon. The mechanical piece is simple engineering. All the magic is (was) recognition.

The revenue from AI is growing at a much slower rate than recurring capex and depreciation is accumulating. This will create distress opportunities that cash-rich companies like APPL may seize. Might be a private equity deal, might be in the public markets as some of the players dip hard after IPO.

As this plays out, APPL's silicon has unified memory, power consumption and native acceleration that gives it an edge running SLMs and possibly LLMs at scale. Wouldn't shock me to see APPL introduce a data-center solution.

1. How will tangible assets generate profit net of near term capex requirements and interest on debt?

2. Why wouldn't payroll shrink as a result of the increased AI capabilities emerging from the capex spend?

3. If AI lives up to the hype & given recent news that public backstops are being requested, why shouldn't the US quasi-nationalize cash strapped players and distribute equity to every American?

4. As NVDA and AAPL local models and local compute eat into utility and base automation business, how do edge players maintain profitability without pricing capabilities well beyond the affordability of SMBs and individuals?

- Demonstrable ties with US adversaries Hezbollah and Iran.

- Close ties with US adversary Russia.

- Close ties with US adversary China.

- Indisputable drug production and transit.

- Threatened neighboring Guyana and previously Columbia.

- Rigged at least one and likely two elections.

- Ruined its economy for most of its citizens.

- Strategically aided illegal immigration of criminals into US.

No responsible government would permit a country this hostile to US interests to persist. This build up is part of a high stakes negotiation to peacefully change regimes in VZ. If Maduro rejects it, he and his cronies will be forcibly removed.

Thank you for your attention to this matter.

It is about certain regimes nearing their end and folks converting assets into something fungible they can use and enjoy while exiled in Geneva, Dubai, Phnom Penh, etc.

As just one example (of many) of why its not about the USD - most global debt is dollar denominated and settled in dollars. Even if they don't reside or transact in the US, most large financial transactions settle (or are hedged) in USD. Again, just one example.

Also, understand export economies like China cannot avoid dollar settlement for goods exported to the US. They can settle in USD and covert to another asset, but only as a secondary step.

I could go on about this, but Carnegie Endowment Prof Michael Pettis explains this and more much better than I can.

The biggest long-term risk to the AI giant's profitability will be increasingly capable desktop GPU and CPU capability combined with improving performance by local models.

Have a look at industrial accident data globally, considering underreporting in developing nations.

- Same, environmental accidents.

- Same, WMD proliferation, including chem, bio and nuclear.

- Same, malicious cyber.

Now, ask yourself if we have enough problems aligning & regulating AI at the moment?

Are we sure that in the name of laudable egalitarian ideals that we are prepared for the second and third order effects of broad global accessibility to AI, including frontier models?