anthomtb

LinkedIn used to be a half-decent social network. There weren't too many updates, some were grift of course, but you'd also see former colleagues doing interesting things like startups or academic papers.

Then ChatGPT happened and dear lord did LinkedIn ever fall off a cliff. So, so many low-effort, zero-value updates. Far worse than any other social network I use.

My father was deep into photography in that era and digitized all his photos. He was understandably paranoid about drive failures. The solution? ZIP disks everywhere! Cue massive family stress when the disk containing his competition entry was nowhere to be found and definitely in one of the kids rooms. It was, of course, found 3 days later in the glove box of his truck (thank you for reading my lowercase-t trauma dump).

And the last criticism is particularly silly. Do you need several hours to charge an electric car? Yes you do. Do cars spend most of their time parked in one place? You bet they do!

That’s the usual length of Acquired podcasts. Those guys go deep. It’s one of my favorites.

I’m don’t do much change-clicky-button software development. But when I do, I point models to specific lines of code. And have never had a result this bad.

Maybe this is geared towards pure vibe coders for whom a file and line number is too technical.

I am aware of the "eating wins races" strategy for endurance sports.

Glucose and ketone monitoring seems a natural, more precise extension of that strategy. Isn't the point of carb-cramming to get more glucose into your blood stream, where your muscles can convert that into forward motion?

You are saying that, even if you wear sunscreen and avoid sun burn, the UV exposure will still potentially lead to skin cancer?

I'd like to see the primary research backing that up. Or be told how I misinterpreted your statement.

When the substance of an article is accurate, the best people can do is argue over the presentation.

Right, I noticed that in the article. I should have s/franchise/location.

A $200k loss isn't much in the context of the whole company but it may be a very large amount for an individual franchise, and they want to set an example.

Think of it like a restaurant chain pursuing legal action against an internal theft ring at a single location.

(I am not taking the BAM side here, just providing a rationale for their actions).

To market their product to c-suite people.

They really had to stretch for #4.

Search for the "Developer Portal – let's build together" heading.

Eyesore? Maybe on well architected multimillion dollar custom homes.

On the average suburban tract home in my corner of the USA, panels are no more ugly than the shingled roofs they sit atop.

I have the exact same problem. 6'0 (183.5 cm) height, 160lbs (72kgs), and a long torso. Mediums and even smalls are ideal for my shoulders and chest but it's a crapshoot if they will keep my belly button covered through a normal range of motion. I don't want to bare it and can't imagine anyone wants to see it.

Tentrees, Fox and Prana are the brands I've found that consistently fit my upper body.

Why does this article have a picture of the Maroon Bells? As opposed to something along Green River or, ideally, the 700m deep canyon being described?

Sounds like a terrible idea. Have you heard otherwise?

I did keto for a few months a long time ago (2010/2011). This was early in my career and long coding and debug sessions were a normal part of my day-to-day.

There was zero impact to my work focus, positive or negative, from cutting nearly all carbohydrates out for several months.

I am curious were you heard or learned that "sugar is really important for focus". Just a vibe, perhaps?

For everyone who is as dumb as I am, the comment pertains to the title.

x=CPU y=Memory Z=4k gates

None of the live sports programming, including MTB, will be part of the acquisition.

https://www.pinkbike.com/news/netflix-in-exclusive-talks-for...

(yes Pinkbike is my source)

As a fellow elder millennial I agree with your sentiment.

But I don't see the mechanics of how it would work. Rewind to October 2022. How, exactly, does the money* invested in AI since that time get redirected towards whatever issues you find more pressing?

*I have some doubts about the headline numbers

The article resonated but I disagree with his terminology. To me, broke and poor are exactly the same thing. He can define them differently if he wants, of course, but what he calls "broke" I would call "feeling poor" and what he calls "poor" I would call "being poor".

I grew up in circumstances that were very much "broke"/"feeling poor" and it took a long time to learn that we really weren't poor. Some of the simple actions that are mis-directed towards the truly poor (second job, DIY car/home maintenance, better financial planning) would have elevated our circumstances quite a bit. Not to the point of being rich, but definitely to less precarious circumstances. And, selfishly, I would likely not have spent my childhood feeling like an impoverished outcast from my peers.

I travel internationally. These arcane rules also do not affect me.

Me: Lifelong, native-born citizen of a western nation. 1 or 2 international trips of less than 2 weeks each year.

Author: Immigrant to his country of residence. Applying or soon to apply for citizenship or permanent residency. Has taken multiple, lengthy international trips and also appears to have had immigration status in different countries .

Conclusion: If you are more like me than the author then international travel will not require navigation of arcane and contradictory rules.

Agreed. Upon passage of the ACA my company switched insurance coverage to a High Deductible plan with an HSA. So if anything, the ACA appeared to increase the prevalence of HSA's. But that is my narrow social circle and the grandparent poster seems to have a different experience.

Binary searching your commit history and using version control software to automate the process just seems so...obvious?

I get that author learned a new-to-him technique and is excited to share with the world. But to this dev, with a rapidly greying beard, the article has the vibe of "Hey bro! You're not gonna believe this. But I just learned the Pope is catholic."

> A lot of firmware dev iteration seems to be build -> flash -> watch serial connection for debug prints.

Serial port? Maybe for the fancy folks. Us lunch-pail types would find an unused GPIO, blue-wire an LED, and blink out a code of your choosing.

Okay, I never actually had to blink an LED but it was in my bag of tricks. The real golden-ticket to debugging embedded devices was a development kit with JTAG. JTAG, coupled with expensive additional hardware and equally expensive software license, gave you a gdb-like interface for debug. Breakpoints, stack traces, all the good stuff you take for granted when working with Windows, Linux, or those ugly abominations we call web browsers.

Emulators were also a thing, especially if your product had a custom ASIC and you needed pre-silicon development. But I didn't use them a lot myself and it seemed like by the time you had your emulation environment setup, there was 1st gen silicon and a debug board sitting at your desk.

In a past life I held the title Firmware Engineer. The day-to-day development process did not differ from subsequent positions as a Software Engineer. Write-Compile-Test-Repeat. Then put it up for review so your colleagues can skewer it, or, on rare occasion, offer considerate and thorough feedback.

Firmware development is indeed taught in higher education. But not under the name "Firmware". It will be an "embedded systems" course or series of courses. At least in my experience, those courses are run by the Electrical Engineering department and the average Computer Science student stays far away from them.

> Euler's formula

So much EE-related math becomes trivial (or at least not-hard) once you've internalized this formula.

What I am trying to decide is 1) Did I zone out in class when Euler's formula was introduced or 2) Did my secondary school mathematics classes just kind of gloss over it?

I lean towards 2 but unfortunately none of my college classes reintroduced the formula and I ended up making a lot of problems harder than they should have been (I have an EE undergrad).

No link to the original research note. No real details on the methodology used. A few notes on the well-known lack of an AI business model (similar things were said about search in the late 90's).

I just don't see how the broader market is exposed to an AI crash in the way it was exposed to subprime loans. If OpenAI goes belly up is it really taking anyone else down with it?

> I wonder if an LLM would be up to the job of writing the assembly code from this

Why ask a cluster of GPU's to do something any single CPU from the last 30 years can accomplish?