I love sourdough, have starters in the fridge but haven't baked in a while, should do it.

Problem is, for some reason it never tastes sour enough, or like the commercial sourdough. I have done slow rise in the fridge over 24+ hours etc. Made sourdough starter from scratch several times, same result.

Bread tastes good, just not sour, or rather sour enough to tell it's sourdough.

Starters are a mix of bacteria that produce either lactic acid or acetic acid. If yours is never turning out sour enough you might be: using too much commercial yeast, not using enough starter, or having a starter culture biased towards lactic acid.

The first two are easy to fix. The third one is saying you need to keep your starter culture a little bit cooler. I keep my downstairs where the starter is between 62-67 during the winter and its plenty sour. I think dryer starters might be less sour, but I'm not sure. I run mine 100% hydration.

I'm currently baking this recipe: 300g bread flour, 300g whole wheat flour, 227g starter (100%), 541g water, 18g salt, 1/8tsp of commercial yeast. All the usual baking steps, over night retard. Two loaves

While most comments are focused on the issue that they found, I’m more intrigued by the fact that Claude was able to reverse engineer so well.

Lowering the skills bar needed to reverse engineer at this level could have its own AI-related implications.

I love that it shows you the thought process that to a Senior or Staff level person would be expected to know in their approach to a reverse engineering problem with no documentation

Levels up the way I think about things

One of my earlier experiences with codex was actually reverse engineering, far before it was good at actual coding.

It was able to decompile a react native app (Tesla Android app), and fully trace from a "How does X UI display?" down to a network call with a payload for me to intercept.

Granted it did it by splitting the binary into a billion txt files with each one being a single function and then rging through it, but it worked.

I heard about this and tried quite a bit to reverse engineer a decompiled binary from a big game to find struct/schema information but could never get anything useful.

I wholeheartedly disagree. Running strings and a decompiler explicitly written for that language is kinda the first thing that comes to mind. Trying hundreds of random ways to talk to it before even doing any real reverse engineering is just a waste of compute. You're never going to guess the JSON to send to it or the random bytes. But it's not my tokens getting spent on it so meh

There are even military grade phone cases, whatever that means.

Sounds like meditation to me.

It's meditation, but on the internet!

The next billion-dollar idea.

Adapter causes unnecessary wear on the charging port.

Recently had a phone go bad when the thunderbolt port stopped working due to the same port being used repeatedly for charging and for audio adapter.

So when I updated the phone I grudgingly decided to get a BT earbud.

One of my iPhone SE's died an untimely death because of failure of the lightning port, so I'm strongly sympathetic.

I also am a hardcore 3.5mm headphone user. Wireless headphones are garbage.

I did get my mind changed on USB-C DACs by way of inductive charging. Using an USB-C DAC and still being able to inductively charge seems at least somewaht reasonable to me.

On the newest round of phones for my wife and me I've tried to make sure we're inductively charging >90% of the time.

Mine was also SE that went bad.

Need to dig deeper into inductive charging as it seems to heat the battery more especially if the phone is in a case. So yet another tradeoff to consider.

Good thing is that if the port goes bad it can still be charged.

I use a MagSafe cord for charging. Much more convenient especially when using my phone while it’s charging

> I've generally found an inverse correlation between "understands AI" and "exuberance for AI".

Few years ago I had this exact observation regarding self driving cars. Non/semi engineers who worked in the tech industry were very bullish about self driving cars, believing every and ETA spewed by Musk, engineers were cautious optimistically or pessimistically depending on their understanding of AI, LiDAR, etc.

At $249/month the market adoption will crash resulting in somewhere in the middle pricing that the market can bear

Competition and local SLMs will also provide a counter to massive price increase

> At $249/month the market adoption will crash resulting in somewhere in the middle pricing that the market can bear

Or much like what is going to happen with Alexa, it just dies because the cost of the service is never going to align with “what the market can bear”. Even at $75/mo, the average person will probably stop being lazy and just go back to doing 10 minutes worth of searching to find answers to basic questions.

This is what I believe will happen. Once pricing is raised to sustainable levels (regardless of profit) I think the customer base will drop off.

That is also a possibility

India is the biggest market for WhatsApp, not sure about FB. I doubt general population cares about privacy or even understands what it means.

Serious question: if the research itself is valid and human conducted, what is the problem with AI generated (or at least AI assisted) report?

Many of the researchers may not have native command of English and even if, AI can help in writing in general.

Obviously I’m not referring to pure AI generated BS.

Another alternate to Tauri is Wails if one prefers Go to Rust. I’m currently using Wails for something and it’s working out well so far.

There are some pro/cons but Wails and Tauri seems to be similar in principal. Tauri can also target mobile platforms it seems which Wails can’t is one big difference.