ampdepolymerase

I never understood why the speakers in drive-throughs are so shitty. It is like the low resolution CCTV camera recordings released by police that are close to useless for identifying perpetrators. What is the point? This is 2021, DSP technology is a commodity on the orders of a few cents to a few dollars per chip. There is absolutely no reason for an intercom to sound so bad, ditto for CCTVs. A commercial grade surveillance/intercom system that cost 3-4 figures should at the very least perform better than consumer tech like Amazon Ring.

Creating tutorials is not bait and switch. Any competent web dev can learn from the documentation instead. The Observable tutorials are no different from e.g. Heroku tutorials on Rails, or the usual web tech blog spam Logrocket churns out.

A transform or heuristic must be developed so that naive recursion can be trivially unrolled into a loop (or state machine in cases of trees and graphs). Tail recursion is simply too tricky to reason through for complex logic unless you enjoy doing induction proofs.

It would be better to run the vectors through an attention layer if you want sentence to sentence translation.

Market price is about $2200

https://comma.ai

Don't forget to account for floating point rounding errors.

Perhaps it is time to go back to the Gold standard. No more fractional reserve banking, Bretton Woods anyone?

Under your personal profile: > Schools, Degrees (including field of study), and Years of Graduation

How are you able to store all the videos?

> If I had to choose between my kids getting good grades and working on ambitious projects of their own, I'd pick the projects. And not because I'm an indulgent parent, but because I've been on the other end and I know which has more predictive value. When I was picking startups for Y Combinator, I didn't care about applicants' grades. But if they'd worked on projects of their own, I wanted to hear all about those.

That's quite rich coming from pg considering that the YC application explicitly states that they may ask for transcripts if you are still in school.

Not a single mention of CRDTs or operational transforms in the article. If all you need is a client side database to replicate Figma and Google Docs then they would have long shut down.

I am not sure if you are being deliberately obtuse or simply unfamiliar with how ML is designed and implemented. Almost every single point you mentioned does happen in practice. Most are limited by budget and scale, just like real world experiments.

That's the nature of statecraft and politics since time immemorial, I don't see the problem.

For a lot of problems, clean data labeled data is no longer the bottle neck, or in some cases, there are ways around it. The bigger issue is dealing with the "long-tail" of unknown new scenarios. This is a currently unsolved challenge.

Just switch the Pi for a FPGA and the problem should be fixed.

We are very very far from doing anything large scale with these sort of technologies. Most of the research mentioned in the paper either cannot self replicate or requires significant external manipulation to do anything useful (think EM fields, sound waves). They are pretty typical for biomedical engineering, they are not some major advancement in the realm of science fiction.

The innovations mentioned are a good start but it is unclear whether the current lines of research (bottom up engineering of a cell via chemically engineering a cell membrane) will bear fruit. They have some applications in carefully controlled environments like for medicine but the technology itself would not directly lead to the resurrection of dinosaurs. The infamous xenobots are basically overhyped. They primarily rely on biophysics simulations to find candidates "bots" that are made by gluing together muscle cells. This is very far from how traditional biology works. I know this forum is obsessed with bioelectricity and the research came from the same labs but in terms of practical applications it is highly doubtful there will be any unless it can be combined with other technology.

For true synthetic life, look into minimal cell projects that start by reducing the number of genes in a cell to a minimal number required for self replication (very similar to a program reducer in CS). Other efforts would involve replacing the traditional DNA ATCG nucleotides with other types of nucleotides. The Central Dogma is called the Central Dogma for a very good reason.

While I profoundly disagree with the claims made by the paper with regards to xenobots and similar biomedical engineering gimmicks, the rest of the overview is quite sound, especially the areas on genetic circuits and organoids.

Will it run on Azure?

But it is not supported in other editors (VS Code, Intellij etc.), it is not like vim-surround or easymotion where almost every major third-party vim implementation supports it.

And also the SEC. It is absolutely terrible that private sector cartels like FINRA are allowed to exist.

I just wish Vim had proper S-expression structural editing support. Many editors have vim support but very few have smartparens/paredit with good integration. If Vim can extend its language to include some basic structural editing, then writing any type of tag based code e.g. JSX would become much more pleasant. For example in VS Code's Flutter plugin there is support for "delete surrounding widget" and "wrap child widget in new widget". They just need better keybinding integration.

How does this compare feature wise to https://aws.amazon.com/qldb/

I am surprised they didn't use electromyography bands which are a perfect fit for this particular application (like those by Ctrl Labs and Thalmic labs). Perhaps their budget didn't allow for making custom amplifier chips.

You need a RF engineering textbook. Start by understanding how a co-axial works and what is impedance matching.

Does Sublime Text 4 have support for WSL2?

Do modern healthcare TUIs support UTF-8?

You realize quantum computing is ultimately just a few linear algebra operations right? There is no more magic in it than conventional neural network based models. Standard ML ethical frameworks are more than sufficient.

Adding "quantum" simply means speed ups for a few specific types of operations. You are not going to get an AGI with the current state of the art in quantum computing.

I much prefer the father of the scientific method Bacon than this one.

You don't need to develop anything. This is a bog standard antenna exercise. At the level of power being used here, detecting it is trivial. The only issue for an omnidirectional antenna is perhaps portability. The powers that be most likely already know who is behind the attacks, or at least have a good guess. What they are willing to sell to the press is another question entirely.

"Dysfunctional proteins" is a vast understatement. Too much frameshifting leads to cancer.

The ironic thing is that despite the emergence of more walled gardens and the decline of general purpose computing, high level tooling has exploded. Look at the amount of new JavaScript frameworks and tooling that come out every year. The areas that are most lacking in innovation are generally all difficult and boring with no quick pay-offs; VHDL/Verilog, cross platform GUI applications, low level code that can run on multiple hardware architectures. These are all important problems to tackle that would drastically improve general purpose computing but nobody's truly interested to work on those problems and make something production ready.