mobileexpert

The Boba Guys result is a real kick in the nuts. Using a shitty paperish straw for the environment but the core product being so high in these tests.

Cool. Rolling your own BI seems fraught with peril at most orgs where I imagine the buy vs build decision is always buy. How many PowerBI or Tableau seats do you need before rolling your own internal BI platform starts to make sense?

Did you buy the cards or lease the system?

I’m assuming this is visually just some racks in (probably) Azure data centers and is leased not owned.

Emad from Stability estimates this at 4M/month. https://twitter.com/emostaque/status/1668666509298745344

Tax payers end up fronting the bill for all this bad behavior :-/.

Good. Thank you. I won’t look a gift horse in the mouth here.

Really impressed with this. OpenAI has its foot on the gas!

There are tons of data brokers that get near real time user level location data from mobile apps (usually not from ‘name brand’ apps but from the long tail) and then sell this as aggregated data products to others: eg https://docs.safegraph.com/docs/monthly-patterns .

This definitely exists in the US as well. You can see a variety of caste discrimination lawsuits against tech companies.

Secondary sales and secondary sales rights generally impoverish the common engineer versus founders and exec management. It is extremely rare to find a scale-up that has had secondaries that put non-founder non-execs on equal footing. So sadly it is just business as usual in our industry.

CarPlay is an absolute must for me for Maps/GPS. No other system I’ve used comes close. (I haven’t driven a Tesla).

Siri is also miles better than most in car voice systems including integrated Alexa.

I don’t think I got the word in question. What was it?

Apple’s tight-fisted control of browser engines on iOS leads to worse security and privacy for the whole platform.

I think similar to other situations e.g Starburst with Presto/Trino. There really are a limited number of devs pushing a long the core projects and a lot of people needing support. Each start up in the space can likely grow the pie for support and adoption and a few big enterprises will still hire in house devs.

Awesome! Really excited for CH.

If you don’t need joins, you can filter, aggregate, and manipulate a table in SQL in Google sheets already using =QUERY().

This is a bizarrely misleading take from iOS 14 privacy labels. Use for ads optimization/measurement/targeting does not mean sharing with third parties for FB/IG or anyone who runs their own ads stack.

Databricks seems on a convergent evolution towards Snowflake, between the two of them I’d rather be starting at the position Snowflake is versus Databricks.

The CSAM numbers are presented awkwardly. The FB numbers suggest FB is way worse, but the FB and Twitter numbers are platform reported rather than externally identified.

FB and Twitter make more reports and publish more transparently. I’d also wager that reports = (all content #)(prevalence rate of CSAM)(detection sensitivity)*(reporting rate) and FB/TWTR probably have infinitely higher first terms, and better 3 and 4th terms in the equation.

Are you using public/legit APIs for all these services? Seems like you might be at risk for TOS violation for at least a couple.

(Too paywalled didn’t read.)

Not sure how they measured, but I’ve definitely been working weirder hours but probably less. In my personal experience having no commute was crossed with having no childcare. This created a dynamic with me and my wife where we worked essentially split shifts which may have appeared to be more hours, but with significant gaps dedicated to watching the kids. Normally the commute also included a commute to daycare/school which was sort of dual purpose commute and child supervision.

The whole point is that a major problem with CA was the scaled friend’s data collection. The NYU app scraping modality could easily do the same thing which violates the present FB consent/sharing model of you control your data going to or not going to third party apps. FB has to fight as hard as possible against such apps. Remember Clearview AI? If we want FB to fight CA and Clearview they must fight here as well.

Some takes From Benedict Evans that are worth considering: https://twitter.com/benedictevans/status/1320378054150148098...

“Meanwhile: the NYU app has access to friend data in your feed and friend data is also in the ads it scrapes. And it replaces an actual security model with our trust that NYU are nice people and won't abuse this access. That is exactly how Cambridge Analytica happened.”

Turkmenistan is a really interesting place to visit. I entered from the north on foot and caught a ride in a weird hippy van taxi instead of the 1km walk between the border checkpoints of Turkmenistan and Uzbekistan. If you are interested in atypical travel I definitely can recommend it.

Dumb question, given the filing today what is the earliest date it will be listed on the NYSE? Google time between S-1 and IPO gives a bunch of wishy washy answers.

How would they possibly know the terms of either offer as former employees?

In case it wasn’t obvious (with overwhelming probability) he received a tiny tiny fraction of the headline 250M number. Those initial lawsuit magnitude numbers have little to no relationship with what numbers settlements happen with.

With the recent clamoring to undo section 230, I expect analogous abuse of the next tier of content removal systems that large platforms will need to put into place.

Leetcode has some SQL problems that I’ve found useful in interview prep: https://leetcode.com/problemset/database/