I knew this day would come.. but not this soon.

Dell did pretty well after going private

But its buyout was lead by Michael Dell.

Why "but"?

Having the original founder leading the buyout is not typical. The Dell situation was much more like Steve Jobs returning to Apple than a typical LBO.

Because the person buying it was interested in the long term health of the company.

Most of leveraged buyouts is all about putting debt on the company, selling what you sell and milking it while starving it.

Most likely for the foundry business

There are millions on the lower bound of bacteria species we havn't identified, trillions on the upper bound. Unknown bacteria are literally everywhere, but the simple act of finding and sequencing them is nothing to be afraid of.

Also known as biological dark matter: https://en.m.wikipedia.org/wiki/Biological_dark_matter

Sounds like Shopify has some leverage then to open a line of comms with Ruby Central. "Explain yourselves or we will pull funding"

The problem is that Shopify is leveraged by DHH (who is on their board) to be the financial support referenced elsewhere in today’s discourse. Shopify is a bad actor here

If that's the case, sounds contradictory to their status as a 501c3 and could get their tax exempt status pulled if it's true.

The USA has proven to be... incapable of completing any public transport infrastructure anywhere near on budget or on time. This is a deeply rooted problem. Until this gets solved autonomous electric vehicles could theoretically just leapfrog the problem altogether. Point to point transportation also mostly solves the last mile problem.

Point to point transportation is not sustainable with a vehicle as large as a car. The physics are simply quite poor and there are too many people to move, at least in cities with real traffic like LA or NYC vs small edge case backups.

Omarchy auto installs the nvidia drivers and fixes if it detects an nvidia card. https://github.com/basecamp/omarchy/pull/13

While promising, be VERY skeptical about efficacy claims of these early stage research drugs.

Tons of drugs in the pipeline that goes after these promising receptor targets. PD-1/PD-L1, CD47, CD40 (as mentioned in the article) etc. Keytruda (PD-1) is an incredible success both clinically and commercially, but there are many many other drugs buried in the clinical trial cemetery that initially showed promising results.

Medicine is really hard.

> but there are many many other drugs buried in the clinical trial cemetery that initially showed promising results

Mot many that showed such dramatic results across different types of cancer with very low toxicity.

Even if it turns out this drug kills 10% of patients outright, it would still be useful.

Semantically, AI has always been a superset of ML. So it's always been correct to call machine learning AI.

All machine learning is AI, not all AI is machine learning.

Yet there's a very clear distinction between when companies use the term "AI" and when they use "machine learning".

iPhone hasnt been a status symbol in many years. Its as mainstream as a Toyota Corolla.