I made a simple electron app to download podcast files. I needed an easy way to sync with a mp3 headphones that registers as a usb drive.
HN user
ewalk153
Developer at Shopify Former CTO of Sonder
This is truly remarkable. Congratulations!
Going to try this later.
Assuming this was user tested in hand with your wife, it’s nice to this kind of project built for a real user.
So often, these tools lack usability because they’re built generically any use case. Here, it was designed for your wife’s bakery.
The process to build a site/app like this will only get easier and more defect-free over the coming months.
Can you post the STL files for the shell and Arms?
Great project.
What do you get if you multiply six by nine?
I was looking for Astral’s future plans to make money. Simonw already answered in another post [1] tldr - keep tooling open and free forever, build enterprise services (like a private package registry) on top.
I’ve hit similar problems with their Ruby gRPC library.
The counter example is the language Go. The team running Go has put considerable care and attention into making this project welcoming for developers to contribute, while still adhering to Google code contribution requirements. Building for source is straightforward and iirc it’s one of the easier cross compilers to setup.
Install docs: https://go.dev/doc/install/source#bootstrapFromBinaryRelease
Is your plan to stick with a hashing algorithm for tenant sharding, or allow for more fine grain control to shift large tenants between and shards?
Hot shard management is a job in of itself and adds lot of operational complexity.
If you want to imply some likelihood for it to be proven, you might write “yet to be proven”. Language subtleties…
When coupled with smaller parameters sizes, it enables BYOD, different cost scaling, and local inference.
I love a good pairing ladder. While there is no absolute good measure of productivity, a suite of thoughts observation can provide at least tripwires.
One major problem with tools that ask crafters to do data entry to show their value is that best people are most likely to refuse. You really need to focus on tooling to help capture what’s going on without toil.
For example, if your folks are remote and they use software to aid in pairing (eg Tuple), script the system to log the tuple sessions and perhaps even capture the pairing in the commits made together.
This can be used as an input to bring visible to be best leaders in your org.
Nice idea. Would be great to have a winter mode for us that can’t literally touch grass for 3+ months a year ;)
If Firefox does release support, it shouldn’t be long before adoption is widespread: > Since Mozilla throttles the rollout of a new version (incrementally upgrading the percentage of the population getting upgrades), it takes about four weeks for about 70% of clients to upgrade before stabilizing.
For personal projects, I’ve fallen for the simplicity of Kamal. Created to host Ruby in Rails apps from DHH and the team who run Hey and Basecamp, Kamal is web framework agnostic. The demo is hosting a go app. Works great on a Pi.
I use Kamal[1] to host all my side projects on a Raspberry Pi. It works for more than just Rails apps.
I’ve tried a few other approaches in the past and this seems like the simplest, given a familiarity with git.
Given these efficient numbers, I wouldn’t be surprised if Apple were racking Minis for serving the new ML models for Siri.
Same. After finishing my breadboard computer, I followed along Nand to Tetris: https://www.nand2tetris.org/
Combined, hardware is finally approachable down to the gate level, even when modern systems add many layers of abstraction.
Lovely post. Thanks for sharing.
Did you add the “hi mom” bit at the end, or was that organic?
This would be great to build into project readme workflows.
Do you see tinygrad as a useful lower level abstraction or is JAX sufficient to get pref out of AMD GPUs?
Maybe related to this?
https://github.com/torvalds/linux/blob/master/tools/thermal/...
My guess has been they both originate from heroku; docker heroku to dokku, pico heroku to piku
Great to see the updated docs.
This seems to be the narrative Microsoft was pushing at the Build conference this week.
Do you actively use this function in any projects? What was your inspiration to write the crate?
Does this appear to be intentionally left out by NVidia or an oversight?
Thank you for making SQLite such a delightful way to share research through datasette.
17x is a big hurdle to overcome. Likely: - models will get a lot more efficient for storing and retrieving information - the marginal value created with this same hardware will increase - the market price for this hardware will continue to fall similar to historic norms
I expect this to set a floor on the crash.
We will continue to get better and better predictions at more affordable prices.