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.
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.
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.
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
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 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.
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
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.