kertoip_1

> YOLO

The actual moat is the same as in web services - data and user base.

Why is Google a monopoly? Do they have so advanced software that no one can outperform? I doubt it. What they have is a giant user base that generate loads of real-time data, which make Google services more accurate.

So how AI company can build a moat? Exactly the same way: by making a giant user base produce loads of real time data. Just imagine a service that will generate answers not only based on data they were trained on, but on all data from all user conversations. Imagine being at a concert, looking for a certain type of beer and instantly receiving an answer from an AI assistant about that only because some other guy in a crowd looking for exactly the same thing said to his agent "ah, here they are!".

It is not happening just yet because of making it secure and private is not yet solved, but it's just a matter of time I think.

The job of a programmer isn't to write code, but to automate things. Code itself doesn't have any value unless it solves some real problem not related to coding.

So if the work of a programmer can be automated then this means that any work can be automated. So no, it's not about software engineering only.

Just attach OpenRouter to your coding agent tool and try yourself. All relevant open weight models are there. Every person have different needs and expectations

Might depend on used language. From my experience Claude Sonnet indeed never make any syntax mistakes in JS/TS/C#, but these are popular language with lots of training data.

> It's over for us

To be more specific: "us" in this sentence means the creators of dumb, shallow, and derivative movies.

The cognitive error here is that people see generated video and are overwhelmed by how it looks good, but they don't know how much it differs from an original vision. Vision that human prompting it had in mind while creating it. And I'm sure this differs a lot. Whoever tried to generate video using generative models knows that what you get is basically random. But movies never had been about showing random things.

There is no way the movie industry collapses. But it will certainly transform more into computer work.

What I miss in this book is the reasoning.

https://gibbok.github.io/typescript-book/book/differences-be...

So we know there are types and interfaces. One support declaration merging, one does not. Both can extend others, but in different ways. But why? Why there are two of them? When should I use them? Is one better than the other?

But you still can use Thunderbird for that. I recommend it no matter what mail provider is used. Web interfaces are so heavy nowadays, compared to that, Thunderbird feels so fast.

> They impose minimal privacy risk.

Absolutely not. Privacy risk depends on how well protected is the weakest point in your network. So if one of the participants' device is compromised then the entire discussion is compromised too.

On closed, proprietary platform you just cut off the weakest point from access to the data when you suspect it is not protected enough, as data it lies on a single server. On mailing list you can't do anything, because data lies on somebody's else's server

I think it might be the same as with programmers. It might look like AI Agents can do all the programming, but when you actually try to use it do do things it quickly turns out to be not so much reliable.

I theory you could install some kind of TPM-like device to every hardware that signs the data with key generated by manufacturer. Should be designed in such a way that it is very easy to break it when trying to tamper with it

Yeah, the worst thing is when parts of the same application are under the hood different SPAs.

First example that comes to my mind: web version of ProtonMail. Going to settings feels like loading a completely separate website. Or OVH dashboard.

In 2025:

1. Viral LLM-based game will be released, new trend emerges

2. Sora-like (AI generated) content floods Internet, significant advancements in that field

2a. Maybe a new kind of addictive video content generator is being released. Possibly for porn

3. AI generated music becomes popular and takes significant market share on Spotify (but it's going to be a music meant to play "in the background", like in supermarket)

4. Significant competitor to Google Search becomes popular. Mostly because of Internet becoming closed due to crawlers gathering data for training. Much less data available publicly, rise of "closed gardens".

5. SpaceX successfully launches payload to orbit with Starship and catches both stages.

6. Much more debris on Earth's orbit, dangerous incident in space because of that

7. VR remains a niche

8. More and more users start using voice to control their personal computers

I don't understand. Author of the linked forum thread states that he discontinues both Google Play AND F-droid verion

I don't think it's the main reason. People don't care whether someone is selling stuff they create on a platform. Big social media has been doing it for many years now e.g. Facebook and yet it's still there. You come to SO for answers, why would you care that someone is teaching some LLM on them later?

Both of those platforms are making answers harder to find. For me, a person used to getting the correct answer in Stackoverflow right away, scrolling through endless GitHub discussions is a nightmare. Aren't we just moving backwards?

This release will start a new age of UIs, where you don't use screens to interact with computers, but instead use your voice. Textural conversations were fun, but the voice functionality is what makes LLMs useful, because speed of communication is now comparable to what you could accomplish with GUI and at the same time a lot more human friendly. In my opinion one of the most important announcements in recent months. Although we will probably need open source competitior.

Nice! Can't wait to try it

They are giving it "for free" because:

* they need LLMs that they can control for features on their platforms (Fb/Instagram, but I can see many use cases on VR too)

* they cannot sell it. They have no cloud services to offer.

So they would spend this money anyways, but to compensate some losses they just decided to use it to fix their PR by contenting developers

They are probably targeting to provide services for companies. It's hard to convince someone to pay for mail if your competition (like Google Suite or Ms365) offers mail AND a bunch of additional stuff. They also just want to tie customers to they services as much as possible to prevent them leaving

What does consulting exactly mean? Do you still write code?

So if it is possible with comments, does it mean it is possible with voting? I'm wondering how many posts recently came to main page upvoted by bots

You just need to give the wrong answer ;)

Analogically, engineers should not invent cars, because that would make carters obsolete

It's shocking how Azure is doomed to win in AI space. It doesn't matter what happens in this field, how Microsoft can fall behind in development of LLMs. At the end of the day if people want to use it, thay need computation and Azure is a way to go.

I've used Joplin for a few years, had a few hundred notes on it and even sponsored it on GitHub. Then I've changed my smartphone which also brought with it an updated version of Android. The new Android version had some changes regarding how an app can manage a filesystem, which ultimately broke Joplin. I've waited a few weeks for an update (couldn't read my notes on a phone then) and even when it finally arrived, the process of synchronization was so slow and buggy I couldn't do it. That (together with other sync bugs I've been reporting earlier) was the reason I've lost patience and switched to Obsidian. Either way, I'm thankful for developers for those few years, that was a really great tool

That's funny, I've gone through almost exactly the same path trying to use NixOS. Tried on VirtualBox and failed. Tried on Raspberry Pi than failed. Didn't have spare bare metal, so I ended up on a "failed" state for now

That's why I like documentation with the comment section. Even if something's missing, there is a good chance someone asked about it. Also comments section provides an instant feedback to people writing posts to that documentation.

If the lack of Reddit is such a problem, imagine what would happen if YouTube was down...

The fact that such articles appear shows an untold problem of NixOS which is: complexity.

I've been a programmer and Linux user for many years, I know a lot of terminology behind it and I think it's a lot less of a problem for me to read technical documentation than for the average user. When I heard about NixOS I thought: "how awesome, it solves some of the problems that I have". But then I started to read official docs and dig into all of it and got quickly discouraged. It might solve "some of my problems" but at a time cost that I just couldn't afford. Well, maybe it's just not for me...