HN user

pininja

932 karma

https://github.com/chrisgervang

Posts18
Comments288
View on HN

The balance during the first two years felt amazing. I was so energized by the first days that I spent the second days revisiting to a ton of makers I’d met the first day to talk more. And I still didn’t see everything.

This year my friends and I felt it swayed a bit far to sponsored booths. There were fewer cool experiences (like the mini-golf) and I’d seen everything in one day. We wondered if the cool booths got denied in favor of ones that could pay more.

We still had great conversations and met incredible people, but felt we had to work harder to find it.

That said.. I think William’s team has been in a deficit each year and he said in his OpenSauce+ video how he is trying to be more sustainable.. I still remember buying the $69.69 early early bird ticket on the way out of 2023 for 2024 just to help them cover existing costs.

I really hope they figure it out. It’s such a great environment and has a great team behind it

Kepler.gl 1 year ago

That was a fun mobile challenge! I just exported my Google Maps Timeline, used ChatGPT to convert it to a CSV of points, and then made a heatmap with Kepler’s grid layer.. I had to tweak the color breaks a bit or else it only highlighted my home and (old) office

Kepler.gl 1 year ago

CARTO is more focused on backend pipelines and large-scale data (where everything needs to be tiled before it can be visualized), while Kepler is a great last-mile visualization tool. It probably makes more sense for enterprises that scale beyond what Kepler can do.

That said, credit where it’s due - their engineering team is a super active contributor to the deck.gl framework powering kepler.gl.

Pretty incredible result having followed along on MattKC Byte’s YouTube channel for a couple of years. Their GitHub projects have become a great resource for software preservation projects.

OCR4all 1 year ago

This tool says it includes a workflow GUI and refinement tools, like creating work-specific text recognition models - maybe the others do too? tesseract isn’t packaged with a GUI, but is wrapped by many.

This project seems focused on making tools more accessible and helping the user be more efficient and organized

Regulations are written in blood.. it’s really disappointing to see a car make it to production without an obvious mechanical way to open the door. I’ve been in many teslas and hadn’t given this much thought, figuring there’d surely be a way to open the door if I need to get out.

These ads feel like YouTube Short sketches. A little absurd, and a bit of a fantasy land. Would people really interact this way - word for word?

I think being aspirational with AI can feel a bit in-humane. A lot of people seeing this experience a bit of cringe when the topic of AI is brought up. Maybe they’re worried about their job, that technology is too pervasive - whatever it is, they’re uncomfortable. It’s an easier pill to swallow if I can laugh at it. Apple seems to be picking up on that in these ads.

Swift 6 2 years ago

A basic litmus test I use for systems programming languages is: “can I imagine the Linux kernel including this language one day?”

Currently that’s C, Rust, and some assembly.. obviously there are more languages used for systems programming tasks too. Memory management, concurrency, and low-level access are also super important in a system language. How would you define a systems language?

I love these maps, it’s an awesome collection! I make data vis maps for my day job and I wouldn’t be surprised to hear that each of these are completely bespoke, made by different people, using a unique technique - python, hand drawing, ArcGIS, Blender, and even R can be used to make these, and I usually use deck.gl

They’re fun to make combining design, data, graphics programming, and lots of fiddling to get the tools to do what you want!

I was curious about cases where this played a role. Looks like the namesake case was about EPA Clean Air Act enforcement in the 80s (the outcome being regulation), and then an FCC ruling to classify internet providers as “information services” rather than “telecommunication services” and avoid stricter regulation (the outcome being deregulation).

Overall, it seems the Chevron deference was a cornerstone of administrative law, affecting how agencies operate, how laws are enforced, and how the balance of power between branches of government was maintained. It’s not clear that this always led to more or less regulation. I’m curious what the impact of deference was beyond cases that made it to court?