majestik

Exercising hard = good for health. News at 11.

Ok, I didn’t want to take the bait but this one’s just too much.

> “He also described a shift toward running AI locally rather than in the cloud – a move motivated by privacy, security, and the rising cost of inference as agents consume more tokens.”

Classic Apple. No more just beating the “security and privacy” drum, now its “tokens are expensive!”

<neanderthal voice/> Cloud scary. Cloud expensive. Mac good. Buy Mac!

> “He also singled out what he calls ‘transparent AI’ on iPhone and iPad, referring to features scattered throughout the operating system and third-party apps that work quietly without announcing themselves as AI.”

<neanderthal voice/> Apple use AI, Apple just not say it. Apple smart, not lagging behind industry! Buy iPhone!

How about you invest in developing your own models, correctly? And provide a secure and private inference cloud service on your fancy Apple silicon? And integrate that into your platform so Siri gets smarter without you farming queries out to Google Gemini? Bill me for it in iCloud+ I’ll probably pay for those tokens.

Was that so hard?

I see this kind of “let’s make candidates work for free” proposal from time to time.

It doesn’t work for software engineers because nobody wants to do free work. Also, free work isn’t consistently, and fairly testable because project requirements can evolve or completely change over a hiring period. Not to mention IP issues.

What has worked in my experience is a synthetic take home exercise that isn’t easily LLM solvable, the same one given to all candidates with the same constraints, and offering to be available to answer their questions by email. Sometimes we can tell a lot about the candidate just from the questions they ask, or how they package the solution, without even looking at the code.

In my experience (FANG hiring) less than 10% of candidates refuse to do this exercise, so it’s worked well for us.

Is anyone here actually surprised Meta is recording and reviewing their content?

Vote with your dollars people.

I was already a Tesla owner and I reserved a Cybertruck right after I saw the original Cybertruck Unveil live stream on November 21, 2019. The infamous one where the window glass shattered.

That was when it was supposed to cost around $35,000.

Four years later when my reservation was ready to order, on December 8, 2023, the CyberTruck cost more than $100k.

Because it cost almost 3x more than what was originally advertised, I cancelled the order. I know many other people who canceled for the same reason. Keeping in mind this was after several delays, so I and many others with reservations were already frustrated with the product before it became available to order.

Google welcome to Apple 10 years ago

I can't put my finger on it but there's a weird tension between the two Dave's in this video. Almost like Rosenthal is trying to impress or earn the praise of Scherer.

Is there a backstory between these guys / FDB?

TLDR: AirBnb is spending “hundreds of millions” to become the new Craigslist.

I read the article, and while it’s great the model can generate relevant output- so what? The article doesn’t discuss any action being taken using that output.

So what’s the big breakthrough here?

“No punting — we can't keep building nanny products. Our products are overrun with filters and punts of various kinds. We need capable products and [to] trust our users.”

What does Sergey mean by this?

Source?