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smallnamespace

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smallnamespace
·先月·議論
> The problem with the filesystem could have been solved by optimizing the Windows kernel

Over time this would tie the Windows kernel’s requirements so that they matched the Linux kernel’s due to expectations from WSL1 users. This of course is a bad idea for any engineering organization - you will have requirements imposed on you that don’t mesh well with your other non-WSL users and you also have no real sway over Linux governance. This would lead to the Windows kernel either becoming a clone of Linux or serving at least one set of users poorly.
smallnamespace
·2 か月前·議論
AI revenue has been going up while the cost per token has been rapidly falling. The Jevons paradox applies here. The cheaper software is, the more software is written. There is not a finite demand for software.
smallnamespace
·3 か月前·議論
It’s not useless, because you can, for example, ask multiple frontier models to do the formalization and see if they agree. And if they have surface-level differences in formalization, you can also ask them whether apparently-different definitions are equivalent.

This isn’t perfect of course - perhaps every single model is wrong. But you are too quick to declare that something isn’t useful for arriving at an answer. Reducing the surface area of what needs to be checked is good regardless.
smallnamespace
·3 か月前·議論
Yes, and the child comment’s point is that formalizing the problem is likely easier than having the LLM verify that each step of a long deduction is correct, which is why Lean might be helpful.
smallnamespace
·3 か月前·議論
T-bills are highly liquid. You can sell them before they mature for very low transaction cost and get back their true market value, including the accrued interest, meaning there’s not much monetary benefit to staggering them week by week. You could just as well only roll them once a month and dip in freely if you need the cash.
smallnamespace
·4 か月前·議論
It’s architecturally not a good approach. System RAM is much slower so you should put data that doesn’t need to be used often on it. That knowledge is at the application layer. Adding a CUDA shim makes system RAM appear like VRAM, which gets things to run, but it will never run very well.

The benchmarks at the bottom mention memory tiering and manually controlling where things go, but if your application already does that, then you probably don’t also need a CUDA shim. The application should control the VRAM to system memory transfers with boring normal code.
smallnamespace
·7 か月前·議論
The market cap is unambiguous, a more correct estimate of "how much to buy all the shares?" is situational and would just distract from getting the point across.
smallnamespace
·7 か月前·議論
> According to the researchers, an unpatched Windows PC connected to the Internet will last for only about 20 minutes before it's compromised by malware, on average. That figure is down from around 40 minutes, the group's estimate in 2003.

This was from two decades ago, and cursory searching suggests the average lifetime of an unpatched system is even lower now.

https://www.cnet.com/news/privacy/study-unpatched-pcs-compro...
smallnamespace
·8 か月前·議論
Three facts to consider:

1. CLAUDE.md is not part of the system prompt

2. The Claude Code system prompt almost certainly gives directions about how to deal with MCP tools, and may also include the list of tools

3. Instruction adherence is higher when the instructions are placed in the system prompt

If you put these three facts together then it’s quite likely that Claude Code usage of a particular tool (in the generic sense) is higher as an MCP server than as a CLI command.

But why let this be a limitation? Make an MCP server that calls your bash commands. Claude Code will happily vibe code this for you, if you don’t switch to a coding tool that gives better direct control of your system prompt.
smallnamespace
·9 か月前·議論
I didn't think of it ;)

Now that you bring it up, the M3 ultra Mac Studio goes up to 512GB for about a $10k config with around 850 GB/s bandwidth, for those who "need" a near frontier large model. I think 4x the RAM is not quite worth more than doubling the price, especially if MoE support gets better, but it's interesting that you can get a Deepseek R1 quant running on prosumer hardware.
smallnamespace
·9 か月前·議論
An 14-inch M4 Max Macbook Pro with 128GB of RAM has a list price of $4700 or so and twice the memory bandwidth.

For inference decode the bandwidth is the main limitation so if running LLMs is your use case you should probably get a Mac instead.
smallnamespace
·10 か月前·議論
The platter is a circle so using the uniform distribution [0, 1] is incorrect, you should use the unit circular distribution of [0, 2pi] and also since the platter also spins in a single direction the distance is only computed going one way around (if target is right before current, it's one full spin).

But you can simplify this problem down and ask: with no loss of generality, if your starting point is always 0 degrees, how many degrees clockwise is a random point on average, if the target is uniformly distributed?

Since 0-180 has the same arc length as 180-360 then the average distance is 180 degrees. So average half-platter seek is half of the full-platter seek.
smallnamespace
·10 か月前·議論
> If you're copying and pasting something, there probably isn't a good reason for that.

I would embrace copying and pasting for functionality that I want to be identical in two places right now, but I’m not sure ought to be identical in the future.
smallnamespace
·11 か月前·議論
If you're going to be using USB drives anyway, then using them to move files into the country would be faster.
smallnamespace
·5 年前·議論
If your grid covers a large region and you have sufficient transmission, then somewhere, there is excess electricity from wind/solar that you can bring in.

Remember, we're talking about a world where building renewables to 4x peak demand would be actually economical.

This works on the same principle as an insurance market: it's likely that even at 4x capacity, your local solar farm has a few cloudy days. It's highly unlikely that your entire regional grid generation falls below demand. That probability falls (super?-)exponentially in the size of the region.

Taking a step back: yes, renewable power is intermittent and you need electricity here, now. Either 1) transmit from elsewhere, 2) store locally, or 3) supplement with a stable source (nuclear / thermal). The choice simply comes down to cost (to provide a given level of reliability).

The most efficient solution is likely to do all of the above, taking local conditions into account. Adjusting for local conditions is one thing that a (well-managed) market helps tackle.