Anoian

If you use open models you can also read the thinking tokens, I think this makes a huge difference because one tends to read them leading to better understanding of the end results and also giving opportunities to correct course if its hung up about ambiguity and stuff like that. It also helps a lot with not being distracted while the clanker is working, instead of going to youtube or reading up on whatever, you spend more time with the code and the thoughts behind it.

It stops the constant context switching.

I have told llms all kinds of stories to find out what its answers would be. I always make it sound like it is the truth to make sure the AI answers in a way that it would if somebody actually said this. I also tested internal flagging systems of the ai company I work at with the most evil things a person can ever say to find out if it would flag them.

Of course I did not mean any of that stuff, but how can you make sure a human reviewer knows you did not mean it while the llm does not know that you did not mean it.

I guess its a miracle I am not in jail yet.

Flagging people for anything said to an llm sounds wrong to me because an LLM is not a real person and while some people put in their internal thoughts, others just roleplay and the two are inseparable just from reading it.

I think this highly depends. I would feel comfortable with giving my older relatives a linux mint cinnamon machine.

PSA: Soon german brand AVM will have dns blocking of advertising right in their routers (fritz box). Search the web for Fritz!OS 8.40 if you are interested.

I have never seen a comment this gray

I am a typescript dev and I like reduce but also feel like I am the exception.

The standard linter plugin eslint-plugin-unicorn even has a rule "no-array-reduce" that is part of the recommended config, which means most people using this plugin will have no reduce in their codebases:

https://github.com/sindresorhus/eslint-plugin-unicorn/blob/m...

I mean I am not part of the same company, so I am just talking out of my butt, but I cannot imagine a dev worth their money taking more than two weeks, to fix a bug, especially today with AI assistance, most bugs are found the same day, the gnarly ones maybe take two days and in my lifetime as an engineer (10 years), I have not yet seen a bug that took me more than a week.

Taking 9 months to fix a bug sounds alarming to me.

Respect for the consumer has long been gone generally except for a few brands.

I am still wondering why consumer respecting brands are not emerging more and thriving.

As an european I approve of the claim being "Its not this, its that", because for once its an actual good use of it, as many things claim to be european when in actuality they are american companies, hosting their stuff in an aws/azure european data region, so not really european at all.

I feel like they only exist so that google can claim that competition exists.

Its sad that you gotta be a software engineer, to immediately get this joke, because its pretty good

It just feels hollow and cheap.

People do not want to talk to their devices because they are in the room with other people and they dont want to disturb them. I think their device is going to be a flop.

But a big part of software engineering is literally defining the requirements.

Chrome became popular in the time where firefox was already more popular than IE.

TLDR: We need agents that can read our minds.

I think we want two opposing things:

1. An agent that acts autonomously 2. An agent that acts like we would

The problem is that an agent can only act like we would if it would know our mind and all the bits and pieces we did not define but are obvious or clear to us.

The only real solution to get an agent to act like we would is to make it ask clarifying questions, breaking the first requirement we have. Until we have agents that can literally read our minds, we cannot have both.

Optimizing the harness/context is the best way to make it act like we would, but this of course isn't working perfectly.

Out of curiosity: Why?

Renting a domain for the the sole sake of selling the ability to rent it to someone else or even worse: Renting it at a higher price to someone else and pocketing that extra money every year without providing any additional service. Bonus points if you also track recent companies that have been created and immediately buy also the related domains and social media handles and extort the founders of the new companies.

Yeah cause we really had to improve domain squatters lives.

In my opinion domain squatting should be banned instead.

That sounds like the most boring exciting livestream of all time.

"Nobody has the intention to build a wall" - Walter Ulbricht, June 1961, 2 months before building the berlin wall.

It's 404 now

Any benchmark is not an accurate benchmark anymore, the moment the model makers can freely access it and had the time to train their models on it.

Is this the groundwork for banning big open weight models like Kimi K3?

We have some things to go by, but yes we are not competing with the lawless companies of the USA.

As it is a german company that is not as far fetched as one might think. (I am german and the on requesting this would be government institutions)

The less people know, the better. These places are better left untouched by humanity.

But they also introduced a new console and probably changed its advertising strategy on steam to promote it, probably taking away space that previously was used for the deck. Also, I think people are less likely to buy something that is perceived as old and because there is a new console, the thing they sold before now feels old. Additionally to all of this, they also introduced a new controller that seems to be doing pretty well, probably also taking advertising space away.

No doubt the high price of the deck has an impact, but I would say that there are multiple reasons and not just one.

For private companies building ai data centers that the communities don't want?

Went to the website and inserted the blogposts I wrote in the last year. I had a pretty good understanding which of my blogposts had more reworks and which ones had entire passages being generated using AI and then left as is because I was happy with them. None of my articles were over 50% according to your model but the ones that I know took me a long time to write, even though I used lots of AI in the creation of them, hit below 10%, probably because I hand-edited them a lot. Overall a nice website, thanks for sharing :)