mschulkind

For context, I'm not transcribing to distribute sheet music or anything, although I'm sure you could. I write down just enough when transcribing so I don't forget what I just figured out. I do it to practice my ear and learn songs.

That said, it's the fastest way to get a track into some player, define loop points easily, and then write down what I need to along with the player. I can jot down chords, lyrics, tabs of riffs, etc. I've tried tons of solutions over the years like sooperlooper, ableton live, reaper, winamp, youtube. this is by far the easiest, with just the right set of tools. It also doesn't do any of it automatically, so there's not even a temptation to skip practicing my ear.

I don't have an answer, but wanted to say that I started using Soundslice about 9 months ago and I absolutely love it. It does exactly the part of transcribing that I want done for me and nothing more, which is basically none of it except the boring stuff.

But surely the difference is 16 vs 24 and nothing to do with the sample rate?

It really depends on the peering contract. Most are not for transit, but rather just destinations, and generally the side that sends more pays, so that means more traffic to HE if tunnels are in use.

I'm surprised someone named BobbyTables2 wouldn't go straight for the proper way to check email PGP signatures...

I've found what works best here is just switching to every 2 weeks or every 4 weeks. If you have little to talk about in a 1:1, feel free to end early, and then double the length of time until the next one.

I've never used it because I feel like it'd make me sound like a weirdo, but I've heard this concept explained as BLUF, Bottom Line Up Front.

I agree, but these are also the exact constraints that lead to an early leader getting overtaken by a longer term, yet better set of plans. Not saying that's the case here, but given how much success Waymo has had so far, over really everything Tesla has produced, says quite a bit about the likelihood of the approach, even if it's not yet there.

This is an interesting viewpoint, but isn't it also solveable?

Just because the human in the scenario only took vision as input, why does that matter to the training data and the model? The actions are the same.

To put it another way, what about all the cultural context the human had, or the sounds, smells, past experiences at the same intersection, etc? Even Tesla can't record this, but I'm not sure that matters.

But why can't you apply all that same logic and processing to LIDAR as well. Maybe we're not there yet, but about about in 5-10 years when we are?

While I agree with basically all of this, and find the FSD on my Tesla to be quite useful, a question pops into my mind.

Why can't Waymo ALSO develop the same smarts and just also solve the sensor fusion issue such that they can use the right set of sensors in the right environmental conditions, and then leapfrog Tesla's capabilities?

Whoosh...

I love the thoughtful response.

I feel you on every point, but I'd point out that they sell VERY reasonably priced replacement parts for basically everything on the A1 Mini that I have that is worth repairing.

If you turn on LAN mode, it acts exactly like every other printer. You can print directly to it from any slicer over your LAN, or dump gcode on the SD card directly.

You're missing two things from the whole picture: 1. Cloud mode works without local network access, so their server is involved in the transit of the data to the printer. This is pretty minor, but still within their rights to preserve. 2. For printing from the app, they actually run the computationally expensive slicing algorithm on their servers, so this is totally reasonable to protect.

This is surprisingly close to a personal theory I've been working on. I've been describing how to use AI to people as engaging the world model in their head, organization, or software.

I'd love to talk more live. I think I have some ideas you'd be interested in. Find me in my profile.

There's absolutely nothing special about any of these agents. They're regular processes that execute some subshells. They're trivially jailable.

They renamed ultra to max about a week ago.

Seems like I'm just part of the club here, but I've also been working on something similar recently.

https://vantageapp.dev/

I find connecting understanding between humans and agents is one of the most important parts of the agentic development cycle, and markdown is a great way to handle that.

Not only can you point it at an entire directory, you can point it at multiple projects, quick load a project with a keyboard shortcut, and also easily see recent file that changed to help you find the 75th file your agent just wrote for you.

Recently, I've started to add a review interface where you can track changes, and add comments for your agent, and then instead of trying to do some complicated integration with an agent, it just has a copy button, and it copies all the comments, which context, and instructions for the agent how to reply.

I also find that I generate TONS of markdown junk during development, and I needed a way to handle it and keep it out of the main repository so I built this tool:

https://github.com/mschulkind-oss/swarf/

I use it because they offer absurdly cheap prices that they're clearly losing money on. I can get $1000 at API prices of Opus 4.6, for in the range of $2 my cost through copilot.

You can do this with copilot, for the $40/mo range, AND you get to use opus 4.6 for all of it. Copilot is absurdly cheap if you can make it fit your work profile.

Kind of overstating things here. Noalox has not been required for modern materials made in like the last 30 years.

Just use openrouter or a similar aggregator.

You can turn that off in /settings

Just give me a day to vibe code an interface to side by side judge judging models...

The person above who replied to you thinks you're talking about a proverbial lemonade stand taking payments via Visa. That's the misunderstanding.

That aside, I think the example is good. It's a bit like priority inversion in scheduling. With no agreement from the lemonade seller they've suddenly changed greatly in terms of their criticality to some value creation chain.

Except generally pre-owned is short for certified pre-owned like it is here, which means you get a much better warranty than buying on the used market.

Basic autopilot is unrelated to FSD these days. Every aspect is improved.

Isn't there a trial you can try?

One of my favorite ways to use LLM agents for coding is to have them write extensive documentation on whatever I'm about to dig in coding on. Pretty low stakes if the LLM makes a few mistakes. It's perhaps even a better place to start for skeptics.

"I grew up just a few blocks from here."

"Who put the bomp in the bomp sha bomp!"

I too had a similar reaction the first time I saw an imax.