yazaddaruvala

The title and intro are badly worded.

The conclusion is “you should do MRIs it is equivalently beneficial as all of ___ are bad for you”

I think the Rick and Morty episode mathematically proved the futility in trying such an exercise.

I’ve been using Google AI Edge Gallery on my M1 MacBook with Gemma4B with very good results for random python scripts.

Unfortunately still need to copy paste the code into a file+terminal command. Which is annoying but works.

An extremely verbose effects system can resolve these dependency permissions at compile time.

However, balancing ergonomics is a the big challenge.

I personally would prefer less ergonomics for more security, but that’s likely not a broadly shared opinion.

I’m surprised everyone is worried about heat dissipation.

Datacenters in space is ambiguous enough to mean on lunar soil which provides plenty of heat dissipation using geothermal heat pumps.

Similarly mass to orbit is also less problematic if silicon factories (including the refineries) are built on lunar soil as well.

Of course it is. C does allow named functions and variables. C doesn’t allow arbitrary jumps.

Those are two reasons why C is less tedious than assembly.

It does not. The $1 of electricity can be simplified to just a $1

However, the way the parent worded it ie $1 of compute electricity - requires the compute to exist and temporarily be loaned. Otherwise “just a $1” would require a massive capex to buy/build compute.

Self driving cars have existed for at least a year now. It only took a decade of “1 years away” but it exists now, and will likely require another decade of scaling up the hardware.

I think AGI is going to follow a similar trend. A decade of being “1 years away”. Meanwhile, unlike self driving the industry is preemptively solving the scaling up of hardware concurrently.

Having both worked at Amazon and still in the cloud industry, to me this seems like a strange take.

Apple leases these computers from Amazon like it would from any other colo. Why wouldn’t these servers be considered Apple servers?

Barring a major privacy violation by AWS (which doesn’t seem likely), or some other sort of 0-day hack the data on these servers is entirely private to Apple.

Facts!

I now get to the gym (or some form of exercise) 6 days a week. That was entirely because I made the decision to go to the gym and watch some YouTube.

Then I’d end up staying 90 mins but I’d get my 50 min workout in with a lot of long breaks! Then things started becoming a habit but I still have many days where I just watch YouTube at the gym lol

I dunno, seems identical to a student loan.

Which are only insane in the USA lol

I think one of the most important lessons in life (even as a healthy person) is realizing “motivation and action are cyclically causal”

Of course “action follows motivation” but even when not motivated “motivation follows action”.

For example, even as a healthy person I am not always motivated to go to the gym after a busy day at work which I am “so tired from”. I go dispite the lack of motivation. Unsurprisingly, I walk out of the gym feeling re-motivated and “with more energy”.

I turn a lot of real photos into cartoons. I love the feature!

Most recently I took a photo of my grandma and me, asked Gemini to make it a cartoon, asked Gemini to make the new variant into a birthday card.

My grandma loved it! I was happy to make her something custom. Buying people cards just never felt right to me. Writing was also never my strongest suit - so this new form of expression for me has been enhancing :)

The only remaining thing I need to do better is getting the card printed! I wish that also was only 12seconds of work.

It’s likely designed to encourage taking out the capital as a loan.

A lot more people around the world can then afford to send their kids or pay off their gold cards across a 10-15 year timeframe.

*Obviously this depends on the income potential that is unlocked by having access to the U.S. workforce.

FWIW, I think you might be better off with immutable rows and lamport clocks.

Everything is a full new row because it is “a message” including read receipts. Some messages like read receipts just don’t render in the chat.

Edits can work the same way by rendering over a previous message, even though the local and remote DB have multiple rows for the original and edited messages.

What you’ve described is the foundation of Lucene and as such the foundation of Elastic Search.

FSTs are “expensive” to re-optimize and so it’s typically done “without writes”. So the database would need some workaround for that low write throughput.

To save you the time thinking about it: The only extra parts you’re missing are what Lucene calls segments and merge operations. Those decisions obviously have some tradeoffs (in Lucene’s case the tradeoff is CRUD).

There are easily another 100 ways to be creative in these tradeoffs depending on your specific need. However, I wouldn’t be surprised if the super majority of databases’ indexing implementations are roughly similar.

Yeah given what your saying is true and continues to be,

Seems the embeddings would just be useful for a “nice corpus search” mechanism for some regular RAG.

At least in theory. If the model is the same, the embeddings can be reused by the model rather than recomputing them.

I believe this is what they mean.

In practice, how fast will the model change (including tokenizer)? how fast will the vector db be fully backfilled to match the model version?

That would be the “cache hit rate” of sorts and how much it helps likely depends on some of those variables for your specific corpus and query volumes.

Any insights into why game engines prefer triangles rather than guassians for fast rendering?

Are triangles cheaper for the rasterizer, antialiasing, or something similar?

https://youtu.be/Be5HUxOYTOM?si=eOBjJW7lxvfG3xSs

?

Fwiw at Amazon it’s expected that the first 33%-50% of the meeting is reading time.

The rest is time for feedback, discussion, and ideally a decision or collecting action items.

The reality is that competition at Amazon is intense.

Amazon corporate is roughly broken down like this:

L4: 45%, L5: 45%, L6: 7%, L7: 2.5%, L8+: 0.5%

Only the first promotion has guardrails (L4 to L5). Typically you’re expected to be able to write at all. From there many people end their careers at L5.

Going from L5 to L6 requires being the best person on your team for multiple years running. Compared with some really smart, focused, and motivated people. You’re also expected to be able to write well, read, and kinda poorly coach other people’s writing.

Going from L6 to L7 is very difficult. One of the biggest differentiators really is scale. If you still need help writing docs - that’ll slow you down and you won’t scale. If you’re slow to read and provide valuable feedback again that will hold back scale (many people compensate by adding more time to their work days).

However, the funny thing is the doc writing culture at Amazon is built by and for L8+ leaders. Everything else was just training and weeding people out.

Going from L7 to L8 is where “in-meeting reads” really start showcasing the differences between leaders. I’ve known smarter people that made better decisions but had their careers stagnate while watching other “80th percentile” decision makers grow because of speed to grok information and deliver valueable feedback 9 of 10 times is more important than the incremental benefit of being right 10 of 10 times.

So I get your concerns about in-meeting reads throughs but just keep in mind who and what it is defacto built for.

The real benefit of doc writing isn’t for decision making it’s for education. It allows everyone at Amazon to evaluate the author’s ability to refine their “chain of thought”.

The nice side effect is the author taking 10x more time to save 10x L+1 and L+2 leaders (ie more expensive people) from spending that same time trying to understand it.

Blood oxygen sensors seem relatively cheap and low power.

I wonder if they could use that as the feedback mechanism.

Ideally if the sensors are small, low power, and cheap enough CO2 and lactic acid levels would also be good to check on to increase bloodflow.

I empathize with your opinion Dig1t. War is horrible and meat grinders are especially so.

But when a victimized population like Ukraine decides it wants to keep fighting. Especially given:

Ukraine should be opposed to depopulating itself.

Then you gotta ask yourself:

Given they would rather die than suffer the consequences of a compromise.

Then maybe they know something about the consequences of that compromise that you and I can’t? and if so, maybe we should continue trusting the victims to not compromise ?

+1 I’ve really enjoyed using more declarative languages in recent years.

At work I’ve been helping push “use SQL with the best practices we learned from C++ and Java development” and it’s been working well.

It’s identical to your point. We no longer need to care about pointers. We need to care about defining the algorithms and parallel processing (multi-threaded and/or multi-node).

Fun fact: even porting optimized C++ to SQL has resulted in performance improvements.

Ok, so maybe a controversial opinion:

I've been buying local, pasture raised chickens for the last 10 years. I am very fortunate to have had the income to allow me to do so. I also don't eat that many eggs (roughly a dozen a month - so it hasn't been that expensive).

The price of my eggs was always between $8-$12 / dozen (including this weekend when I easily found and bought another 2 dozen). I get that I was buying "already expensive eggs", because apparently other people were buying eggs $2 / dozen.

However, to be frank, I'm not sure how people expect eggs to be so cheap. Taking into account the land, the water, the feed, the labor, the transportation all to create a dozen eggs, it must cost more than $2.

Clearly paying a little more for the eggs has allowed me to support farms which are robust to large shocks like this (both in terms of input costs and in terms of health of chickens). I really hope as a society we can all move away from the unsustainable farms and improve the economics of sustainable farming so that everyone can afford locally grown, healthy eggs for centuries to come.

In the meanwhile, there will be people who have to buy fewer eggs (either because of health regulations - or because reality checks will always exist like with market shocks right now).

Hopefully, after this crisis, through graduated health regulation we can cause a controlled increase to the floor price of unsustainably grown eggs, while also (through technology and economies of scale) reducing the floor price of locally sourced, sustainably grown eggs.

The difference is passive. Your phone is constantly pooling for both 4g, and 5g signal. Then using that to pool for notifications from apps.

This is stuff your Nokia didn’t do at the same scale. At best some sms at a significantly reduced polling rate.

My apps auto update in the background. Something my Nokia from 2007 didn’t do.

So there are many passively provided features but by definition they are not obvious to you and as such harder to appreciate.

If you have an iPhone: I use low power mode constantly. I have an automation to use it at 75% or less battery.

I get roughly 2 days of battery life without any YouTube usage.

Not exactly a scientific experiment, but based on this video it seems like fire would have significantly less visible intensity for it to make a meaningful difference.

https://www.youtube.com/watch?v=JBL3NdIK4DI

Only really relevant if the efficiency is valuable but yeah totally. It’s not just about new abstractions on top of the stack but also new abstractions that replace the middle and bottom of the stacks.