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I drove a Cybertruck around SF because I am a smart, cool alpha male
I drove a Cybertruck around SF because I am a smart, cool alpha male
Lots of sick burns in this one.
He suspected we were going to say mean s—t about Elon, and he was right. Elon Musk is a penis.
Another motorist pulled up alongside me and said, “I just had to stop to laugh at you.”
Any problem you have with the truck’s controls is strictly because you’re a n00b. Only our shrewdest, most waterlogged minds can master such a visionary piece of machinery
This is a loud and lonely car for loud and lonely people. And while I enjoyed driving my Cybertruck, I hope I’m never loud and lonely enough to want to buy one.
·sfgate.com·
I drove a Cybertruck around SF because I am a smart, cool alpha male
Systems: How the Ultra-Wealthy Think About Money - Anil Dash
Systems: How the Ultra-Wealthy Think About Money - Anil Dash
It is a completely different world of rich.
For you, money is a stock, a bucket of dollars you can carry, and that you try to make sure isn't empty. For the ultra-wealthy, money is a flow, it's just a hose of dollars that you can point at anything that isn't suiting your preferences.
·anildash.com·
Systems: How the Ultra-Wealthy Think About Money - Anil Dash
If You Want To Be Friends, Then Why Aren’t You Friendly?
If You Want To Be Friends, Then Why Aren’t You Friendly?
I really like this humanist/supremacist reframing
I know about an emerging spirit that believes that everyone deserves access to basic human needs—which includes space to live safely as who they know themselves to be—simply because of the fact of their humanity, without a thought to how that life should be deserved or earned, a spirit that sees humans as a value rather than a cost. And I know about a dominant empowered spirit that believes that only some deserve life, as mediated through its adherents’ own specific ideas of how people ought to be permitted to exist, and its adherents’ beliefs that they are the ones who get to issue the license of whether or not a person deserves to live, and that they are entitled to punish and abuse, harm and exclude, exploit and kill, those to whom they choose not to issue license. It strikes me the more accurate labels than left and right for these spirits would be humanist and supremacist. If I wanted to give these spirits labels,
they never notice that whatever offer of friendship  the “right” is extending is contingent, and is not offered to everyone
a “bully” is somebody who believes that there is something about the way you are that will allow them to hurt you and frighten you every day if they want to, and who wants to hurt you because hurting you makes them feel better, so they do.
·the-reframe.com·
If You Want To Be Friends, Then Why Aren’t You Friendly?
Six Decades of Computer Science at Harvard | Harvard Magazine
Six Decades of Computer Science at Harvard | Harvard Magazine
Nice piece from my old theory prof.
Be careful what you ask them for. And it can be hard to tell what they are doing.
Our challenge, in the presence of ubiquitous, invisible, superior intelligent agents, will be to make sure that we, and our heirs and successors, remember what makes us human.
Just as an airline can’t escape responsibility for the advice its chatbot gives, no AI system can be divorced from the judgments of the humans who created it.
The first error is suggesting that computers can be digitally trained to be superior versions of human intellects. And the second is inferring that human judgment will not be needed once computers get smart enough.
·harvardmagazine.com·
Six Decades of Computer Science at Harvard | Harvard Magazine
"This is just like 1984!"
"This is just like 1984!"
Referencing "1984" has become a staple of social media discourse. Whenever a trend rubs someone the wrong way, they are quick to label it "Orwellian,...
·paragraph.xyz·
"This is just like 1984!"
Generative AI Is Not Going To Build Your Engineering Team For You - Stack Overflow
Generative AI Is Not Going To Build Your Engineering Team For You - Stack Overflow
I can't highlight this article enough. It reflects so much of what I've experienced and observed in the industry and how I feel about generative AI and how it applies to our work.
Software is an apprenticeship industry. You can’t learn to be a software engineer by reading books. You can only learn by doing…and doing, and doing, and doing some more.
To me, being a senior engineer is not primarily a function of your ability to write code. It has far more to do with your ability to understand, maintain, explain, and manage a large body of software in production over time, as well as the ability to translate business needs into technical implementation. So much of the work is around crafting and curating these large, complex sociotechnical systems, and code is just one representation of these systems.
What does it mean to be a senior engineer? It means you have learned how to learn, first and foremost, and how to teach; how to hold these models in your head and reason about them, and how to maintain, extend, and operate these systems over time. It means you have good judgment, and instincts you can trust.
By not hiring and training up junior engineers, we are cannibalizing our own future. We need to stop doing that.
It never has been, it never will be. Writing code is the easiest part of software engineering, and it’s getting easier by the day.
Sociotechnical systems consist of software, tools, and people; understanding them requires familiarity with the interplay between software, users, production, infrastructure, and continuous changes over time.
You may save time by not having to type the code in from scratch, but you will need to step through the output line by line, revising as you go, before you can commit your code, let alone ship it to production.
If what you need is effectively copy-paste with a template—any time you could generate the code you want using sed/awk or vi macros—generative AI is quite good at this.
One of the engineers I work with, Kent Quirk, describes generative AI as “an excitable junior engineer who types really fast”.
Disposable code is rare; code that needs to work over the long term is the norm.
Your effort is worth more when it is invested into someone else’s apprenticeship. It’s an opportunity to pass on the lessons you’ve learned in your own career.
When it comes to hiring, we tend to valorize senior engineers almost as much as we underestimate junior engineers.
This is an apprenticeship industry, and productivity is defined by the output and carrying capacity of each team, not each person.
In terms of writing and shipping features, some of the most productive engineers I’ve ever known have been intermediate engineers. Not yet bogged down with all the meetings and curating and mentoring and advising and architecture, their calendars not yet pockmarked with interruptions, they can just build stuff.
The smallest unit of software ownership is not the individual, it’s the team.
A monoculture can be spectacularly successful in the short term—it may even outperform a diverse team. But they do not scale well, and they do not adapt to unfamiliar challenges gracefully.
the most effective mentor is usually someone just one level ahead, who vividly remembers what it was like in your shoes.
Components can be automated, but complexity can only be managed.
large software systems are unpredictable and nondeterministic, with emergent behaviors
Writing code is but a sliver of what professional software engineers do, and arguably the easiest part.
·stackoverflow.blog·
Generative AI Is Not Going To Build Your Engineering Team For You - Stack Overflow
Bubble Trouble
Bubble Trouble
It's probably fine. (I do agree the shovel business is the one to be in.)
AI companies face a kafkaesque bind where they can't improve a tool for automating the creation of content without human beings creating more content than they've ever created before
I am, of course, conflating two problems — the deliberate creation of synthetic data by AI companies and AI-generated content filling the internet with synthetic data that models are then trained on. Yet the end result is the same — forcefully teaching autocomplete typos in the hopes that it'll be able to work out how to write America's next great novel.
The only companies currently profiting from the AI gold rush are those selling shovels
The companies benefitting from AI aren't the ones integrating it or even selling it, but those powering the means to use it
the stock market (and the tech industry) is building vast castles on foundations of sand
the AI industry is investing hundreds of billions of dollars to build infrastructure for a future that may never arrive
what he's promised isn't possible with today's technology, and may not be possible at all
·wheresyoured.at·
Bubble Trouble