manbash

Nice work. I have gone through the fairly straightforward paper.

May I ask what you've used to confirm the cache hit/miss rate? Thanks!

I agree with you, but also I want to ask if I do understand this correctly: there was a paradigm in which we were aiming for Small Language Models to perform specific types of tasks, orchestrated by the LLM. That is what I perceived the MCP architecture came to standardize.

But here, it seems more like a diamond shape of information flow: the LLM processes the big task, then prompts are customized (not via LLM) with reference to the Skills, and then the customized prompt is fed yet again to the LLM.

Is that the case?

Right in the first paragraph.

> Needless to say, I just don’t get git.

What is there not to _get_, honestly? And why is jj so easier to get?

The author seems to focus on how great it is to make changes to your commit history locally, and that you shouldn't worry because it's not pushed yet.

The thing is, I don't want automatic. Automatic sucks. The point of version control is that I am able to curate my changes. The guards and rails of git is what makes me feel safe.

I am still failing to see why JJ is superior to git, or whatever.

Don't you have a 2FA Recovery Code?

> They don’t prevent the attacker from pivoting a memory safety bug to remote execution.

I'm confused. Isn't this potentially preventing some classes of memory-safety bugs?

> Not all free software is open sourc

Depends on which "free software" definition you're referring to.

The FSF definition of "free software" requires it to be open source.

Maybe a "view", however YT defines it, is a poor metric? It doesn't show engagement and it's time for YTers to have better means for analytics.

I have an Android TV device, and YT has been so horrible with its constant ads popping up, that I have to put it on MUTE to prevent any further brainrot.

I wonder when they're going to blame me muting my TV and harm their viewership. Or maybe they will just prevent me from being able to mute it.

Do they charge for actual bandwidth as well? Seems like it. From tarsnap.com:

> Tarsnap uses a prepaid model based on actual usage: Storage: 250 picodollars / byte-month of encoded data ($0.25 / GB-month) Bandwidth: 250 picodollars / byte of encoded data ($0.25 / GB)

Thank you. I assumed it would be quicker to find the link to the case PDF here, but your summary is appreciated!

Indeed, it is not only payout, but the destruction of the datasets. Although the article does quote:

> “Anthropic says it did not even use these pirated works,” he said. “If some other generative A.I. company took data from pirated source and used it to train on and commercialized it, the potential liability is enormous. It will shake the industry — no doubt in my mind.”

Even if true, I wonder how many cases we will see in the near future.

Thanks for this. I was struggling to put it in words even if maybe this has been a known distinguishing factor for others.

I tend to agree, but in a more general and broad sense. That is, Rate-Limiting is always a deployment specific feature. If it's for limiting user requests, then it should be a component of the ingress/API Gateway and be as robust.

> They just aren't distributing the source for free, it seems, but you are free to redistribute it however you'd like.

Yes, that was my point. I will know the license when I see it in the distributed code :)

This looks great. Just a note though that this is "free as in beer". If you want the source code you'd need to login and pay, it seems.

https://studio.blender.org/projects/dogwalk/gallery/?asset=8...

> 2. Technical design based on requirements > Kiro then generates a design document by analyzing your codebase and approved spec requirements. It creates data flow diagrams, TypeScript interfaces, database schemas, and API endpoints—like the Review interfaces for our review system. This eliminates the lengthy back-and-forth on requirements clarity that typically slows development.

This is nice for documentation but really having a design document after-the-fact doesn't really help much. Designing is a decision-making process before the code is written.

I am reminded of a theory years ago that fingers wrinkling in water might have an evolutionary function, specifically to improve our grip when wet (or in water).

The wrinkly formation lets water drain better (like treads of a tire).

Are you able to look around while keeping your "unified vision"?

To me, all the differences appeared to be flashing (probably my brain alternates between the pair of images it attempts to "lock in", or something to that effect).

I wouldn't be concerned about trusting the results of ChatGPT if it also were providing links to the sources it had cited or used as a reference in its answers.

Unfortunately, it doesn't, and so I can't verify them. Not sure if it's an actual limitation of current LLM or rather they're intentionally filtering out the sources.

Is Stepmania still the go-to DDR clone? This is very nostalgic. :)

VPN is used to bypass regional restrictions.

The VPN provider will share information if an active investigation is underway.

I sometimes indulge in doing the KFC chicken rice cooker hack recipe. Look it up if you haven't yet.

I do too wonder.

Given the disruption of LLM everywhere, and in Google specifically, I wouldn't be surprised if the headcount was reduced in these teams as well.

A side note: I am suspicious about the channel in the posted link. It seems to simply cut clips from the original video, without information and credit.

Anyway, here is the original source: https://youtu.be/cPvRIWXNgaM

State diagram and sequence diagram complement each other, rather than competing.

I am surprised by the lack of eSIM option, which unfortunately is a dealbreaker for me. :(

The article should at least preface with some explanation about lazyvim.

Some snippets simply have comments like "I use lazy.nvim to load plugins" and that's it.

What a great game. The "mega monkey" difficulty had me attempting every possible combination with my inventory items.

I actually don't understand the "AI-generated code" excuse. Code analysis should be part of the pipeline regardless.

It's not like people are perfect code developers.

With respect, the person doesn't understand the purpose of git.

Doing 'git pull' often would fit for a very specific workflow, and one that in time proves to be a wrong workflow, in my opinion.

Don't do things that don't have a conscious purpose.

Firefox is my daily driver on my Ubuntu laptop, but for video streams and Google Meet (including virtual background[1]), I can see it still isn't utilizing my Intel GPU as much as Chromium (beta channel) does, so I split my usage between the two browsers to reduce the CPU usage for these specific cases.

I've followed the basic recommendations (from e.g. Arch Linux wiki) but still getting less utilization with Firefox according to intel_gpu_top.

[1] Well, at least virtual background works on Firefox now after their GSuite improvements.

May I ask you to elaborate on how ChatGPT is involved with Stable Diffusion for your use case?