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I think just as those who have never had kids, those who have never done a (successful) startup do not understand the value of PG's words - the same way those who choose not to have kids do not understand the joy of (having) them. There is great wisdom in PG's essay, and it is not vapid or wishy-washy.


I love llm coding. I don't know what I am looking at here

https://github.com/malisper/pgrust/blob/main/Cargo.lock

What is happening.

No PRs? No Make files? I understand running tests and debugging is the workflow, but where do you log things? How do you orchestrate builds? Etc.


`Cargo.lock` is a lockfile machine generated by Cargo. It's similar to package-lock.json. In any case, its machine generated the old fashioned way.


I am fully aware what Cargo.lock is. What I am surprised at is how many dependencies there are.


Like most modern languages, Rust has its own build system and package manager, Cargo. Everything you're referring to relates to that, and has nothing to do with LLM coding.

Edit: saw the clarification in another comment. But, in that case the essential point seems to be "I'm not familiar with something, therefore it's suspect."


> I love llm coding. I don't know what I am looking at here

There might be some correlation here.


I am fully aware what Cargo.lock is. What I am surprised at is how many dependencies there are.


Sorry, the wording confused me.

The project itself seems to be structued around 1.4k micro-crates[0] which I admit is a bit weird. Rust's compilation unit is the crate unlike C's per-file compilation unit, so if this was a 1:1 AI-assisted translation from the original Postgres source this might be an artifact of the translation.

[0] https://github.com/malisper/pgrust/blob/main/Cargo.toml


This is correct. We first used c2rust to translate the C into unsafe Rust. The generated Rust code had one crate per C compilation unit. We then took the unsafe unidiomatic Rust and one crate at a time converted it to safe Rust.


it's like node_modules but cooler


Well, the labels are fundamentally misleading: According to the author's data, "40 people get 0.75 slices each", whereas that 30 slice pie is labeled as "Hedge funders, fascist VCs, and cosmetic surgeons". Even if you take a charitable view to bundle every possible related occupation, I can hardly understand how labeling 40% of the US population as "Hedge funders, fascist VCs, and cosmetic surgeons" is accurate.

The US has a very progressive taxation system: https://taxfoundation.org/wp-content/uploads/2023/01/FedData...

For working and middle class households, the US tax burden is usually lower than in most European states, especially once payroll/social-insurance taxes and VAT are included. The US federal tax system is also very progressive by OECD standards, so upper-income households carry a larger share of federal taxes while the lower/middle bear less of the explicit tax load

Of course, wealth is not exactly income, etc


Right, especially given that majority of this investment is into GPUs and data centers that are amortized over a longer period of time. This is actually very hopeful.

Given how the curves look like in terms of ramping of spend, these are very healthy numbers.



TPU v2s that were released ~10 years ago are still being sold via GCloud.

https://cloud.google.com/tpu/pricing https://en.wikipedia.org/wiki/Tensor_Processing_Unit#Second_...


Even if it's 1-3 years, they are very likely to be ROI positive all in.


The velocity of the Solar System rounds to 0 when expressed as a fraction of c.


There are colors in between blue and green that are neither blue nor green!


Any system of giving names to hues will necessarily use ranges.

I think the intent here is clear in context.


Basically all of life is self replicating, physically.


I guess the OP meant something that is more flatous for human vanity to feel like a demiurge when at most it would be a tool of cosmos in its experiment.


Yes, but this isn't what the paper is talking about.


Cool! Ideas: At least do an ensemble approach by queuering llms to explain what the symbols "are". It's so auto generated now. Link to wikipedia. https://en.wikipedia.org/wiki/Approximation#Typography

Developers need to understand context too, not see a static page of "macOS: Use Character Viewer (Control + Command + Space) and search by name, or copy/paste."

The related to symbols make little sense. For example: https://fontgenerator.design/symbol/acute-angle Does not link to all other "angle" pages, but does to Aktieselskab?


Good point. I added a Notes section and reworked “Related” to focus on things people actually get confused by (pairs, confusables, same block), not just category adjacency.


I would also love to see a token budget use for the chats -- to know when the model is about to run out of context. It's crazy this is not there.


It would have to be intentionally vague since there is no hard cutoff threshold.


Claude code does it, to a precision of 1 digit of a percentage. That’s more than enough to be useful.


Thank you for sharing this and elaborating on what I've seen firsthand. Another thing we've noticed is that an increase in VO 2 Max, which does take quite a bit of time to change, makes a major difference.

Altitude is another factor, due to dry and colder air and lower oxygen -- a double whammy for asthma.


People also are often unaware that the symptoms of asthma which cause the most concern (dyspnea, tightness, etc.) are less hypoxia and more hypercapnia. Hypoxia in normal people does not feel like breathlessness: it's lightheadedness, low energy, turning blue, etc. Asthma is almost definitionally airway hyper-responsiveness (and relevant structural changes): any fitness intervention that can help improve CO2 expulsion will probably greatly help an asthmatic seek relief. This is also why in acute attacks, pursed lip exhalations can really help.


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