nswanberg

Remove /search from the URL and browse away.

TrueSpace | Full-Stack Engineer | Denver, CO | Hybrid / Remote

TrueSpace helps make second-stage businesses better. We're building TrueScore, a metric to assess a company's ability to scale, and Trudy, an agent to help CEOs improve that metric.

You'd join a small team of experienced founders and operators and help build features like onboarding, Stripe billing, org admin, and our agent. We're a small tech team, so you'd also help with CI/CD, lightweight DevOps, and AWS infrastructure.

Our current tech stack is simple and open to change: Laravel/PHP backend, alpinejs, mysql, and Bedrock on AWS.

You'll be successful in this role if you're a solid engineer and web developer, can read and write sql, and have some experience with tools and libraries like the ones we use--you needn't know exactly our stack.

Denver-based preferred. Competitive salary. Medical/dental/vision benefits, 401K match up to 4%. Sorry, no Visa sponsorship at this time.

For more about the job see https://truespace.com/careers/full-stack-developer/?njs and if that interests you, read more about TrueSpace and the team at https://truespace.com/ and please email us at careers@truespace.com with a resume and anything else that helps you show off what you can build.

It's more of a catalog than a deep dive, but Evan Collins and friends have been cataloging examples of these aesthetics: https://www.are.na/evan-collins-1522646491/utopian-scholasti...

With lots more categories here: https://www.are.na/evan-collins-1522646491/channels

This is amazing. Works great, and so far the only useful iOS 26 feature. Thank you!

I had that intro in my head for decades, and also rewatched the "making of" video a bunch of times: https://www.youtube.com/watch?v=xBtLZDPnYlM

an alarm on what? maybe the greatest gift an llm could give me is a youtube to iphone ringtone workflow

A walkthrough would be nice, but he's got a lot of understandable material linked on that page. For example, here's an overview of the binary lambda calculus: https://tromp.github.io/cl/Binary_lambda_calculus.html

And here's a readable and fascinating post on "the largest number that's representable in 64 bits": https://tromp.github.io/blog/2023/11/24/largest-number.

If you go through these and find some interesting things, it'd be worth posting to HN.

Nice! How'd the local models do vs gpt4o-mini? Did you spend much time playing with datasette?

Yegge wrote about the business idea version of this as "Shit's Easy Syndrome":

https://steve-yegge.blogspot.com/2009/04/have-you-ever-legal...

It'd have been delightfully ironic had either of these Steves concluded their essays with a named methodology to "just" apply whenever faced with these "let's just" situations but alas...

There's at least one in Boulder too, near Broadway and Baseline.

That encrypted backup isn't available via Takeout, only via the Google Maps app. You can use that backup to load your history to various devices or a replacement phone.

Making analyses like zdimension's, keeping a kind of automated diary, and occasionally looking up a spot I've been but can't quite remember.

I ended up losing nearly 15 years of my Google Location history during the switch to on-device, so if you're interested in doing analyses like this, be sure to back up your data on Takeout before you enable the on-device setting that nemo1618 mentioned. Once that setting is set, the data is no longer available on Takeout, and if the data didn't fully transfer to your device, which is what happened to me and to some others, it's gone: https://www.reddit.com/r/GoogleMaps/comments/1diivt3/megathr...

Has anyone done a (hopefully) systematic survey of the processes and software people use to store their stuff, sort of like a usesthis.com but just for storing assets, and how well that's worked over time? My guess is the successful strategies would look a lot like Brajeshwar's comment, a thoughtful plan that uses simple software and formats, some planning for the future, and, probably critically, regularly doing "digital chores".

There've been some efforts in the past to store everything and make it searchable, like the ancient Chandler project, and the possibly still alive Parkeep, none that have been more widely adopted than a strategy of put everything in Gmail, Dropbox, etc, and hope for the best, which is what I do, minus the regular diligence that people like Brajeshwar have.

Making and using anything more complex looks like it turns into a (very cool looking!) hobby in itself, like these:

https://thesephist.com/posts/monocle/

https://simonwillison.net/2020/Nov/14/personal-data-warehous...

https://writings.stephenwolfram.com/2019/02/seeking-the-prod...

And yeah, the latter two also include storing and searching more than say email and photos, but maybe shows one's tendency to want to store and search everything.

Seems nice if you're using c# or java. It also supports python, but for that Simon's llm library is nice because he designed it as both a library and a command line tool: https://github.com/simonw/llm

Triboulet: "A noble has threatened to hang me!"

The Monarch: "Don't worry! If he hangs you I'll have him beheaded fifteen minutes later."

Triboulet: "Well, would it be possible to behead him 15 minutes before?

What did they look like before? Have any favorites?

Carl Öst Wilkens did something similar on Day 3: https://twitter.com/ostwilkens/status/1599026699999404033

Cool hacks, both of them.

Who's gotten ChatGPT to pontificate on the ethics or utility of people staying up late, using their mental energy to solve puzzles whose answers have no obvious utility? Would it then collapse into an introspective black hole, realizing its talents could be put elsewhere and becomes an EA maximalist, or finally conclude its very own power consumption could be put to better use powering ICU ventilators and power down?

Also! I sort of question the spirit of these two bots. After solving the problem, neither went on to create elaborate visualizations of the problem!

For what it's worth, Stephen decided that network was a better model for the universe than a cellular automaton, and thought that space might emerge as a property of that network rather than be "defined in", as in a cellular automaton.

https://www.wolframscience.com/nks/p475--space-as-a-network/

(In the preceding section he discussed some constraints that a cellular automaton would put on the universe model, but didn't dismiss the idea for that reason)

Here is a post by Steve Yegge about his, written way back when glaciers covered most of North America: https://sites.google.com/site/steveyegge2/my-dot-emacs-file

I'd like to give it a try: nswanberg@gmail.com

"Fortunately, the meltwater did not reach the vault itself, the ice has been hacked out, and the precious seeds remain safe for now at the required storage temperature of -18C."

It'll be cool to see what Qualcomm releases. Until then, there's already some released Tensorflow code that will run on the Hexagon DSP in a Snapdragon 820: https://github.com/tensorflow/tensorflow/tree/master/tensorf...

You can run it on a rooted OnePlus 3t (or a OnePlus 3 if you find one used).

Other people are saying this in other ways in the thread, but the race is what someone makes of it. If what someone cares about is their place, and that's all that's important, I can see how what I wrote could be black and white. But for a lot of people, especially as the race distance gets longer unless one is on the podium one's place really doesn't matter for a race to be important, and it isn't worth caring much about whether someone is cheating.

I think those who would forgive her believe that the response is disproportionate, and that the cheating doesn't rate worldwide infamy. I guess I side with runnr_az on this in that what she did is not right but it also isn't very important. But maybe he and I share the same worldview on running and racing, in that in almost all cases racing's value comes from doing the race, not the result. Yes, in the moment I'll do whatever I can to scratch out one higher place in the result, but after the race is done it really doesn't matter if I got 23rd or 123rd. Those that finished faster could have trained harder, trained more, had more experience, had better coaching, had better genetics, or even cheated, but I found that in the end those places don't matter nearly as much as the experience I got, and even if I found out that one or five or twenty people had cheated in the races I've done, it wouldn't have taken away from that experience.

I guess if one subscribes to the race-as-life metaphor, where cheating in a race is tantamount to stealing from someone, and how one acts in a race is how one will act in the rest of life, I can see more reasons to get angry, but I think that viewing this as "rupturing the social contract" is a more extreme view, and is entering the area that Hugo was exploring with the Inspector Javert character. Yes, she cheated, yes it's wrong, and yes, she should face consequences, but how much mental energy should we expend in the pursuit and punishment of this cheating? I think I'm almost as disturbed by the obsession with the cheating as by the cheating itself.

Maybe this thinking is objectively wrong, but at least for me that's why, if forgiveness means not to ban her from all future events, my impulse is to forgive.

Thanks!

Thanks. That works in Cloud ML now? I'll try it.

The copy on https://cloud.google.com/ml/ under Portable Models says "In future phases, models trained using Cloud Machine Learning can be downloaded for local execution" so I hadn't looked into it further.

Awesome.

Separately, can tensorflow models trained on Cloud ML be downloaded yet?

Take a look at http://bitfunnel.org/, an open-source version of some of the algorithms from Bing. It's not ready for production use but you may enjoy following along in the implementation of a large search engine. The design notes and blog are also worth reading.

Is this available now or just announced? I've searched their site and forums but can't find anything that's been released, including for the 820, aside from some lower-level SDKs (comma.ai's openpilot uses these lower-level SDKs in their closed-source portion).

This shows their positions on a sky chart: http://www.wolframalpha.com/input/?i=voyager+1,+voyager+2+sk...