Because when something is open-source, reseaechers are more prone to adopt them. Companies pay less, and the market will be your. Instead of centralizing trhough open ai añi or microsoft azure, the let you run those models on your stack. You domt need to pay fees there. More people get involved, the models grows, you have free qa and developers working on the product. Alibaba is getting a lot of revenues just because people are switching to their infrastructure.
I use a lot of models and Chinese ones are the best. They are a bit restricted for certain fields, but not more than Microsoft phi models. And they are imcredibly cheaper even when using inference APIs.
My second phone is a Nokia t800 with KaiOS. 99 bucks and I can bring it hiking for 3 days without recharging.
Mate people feel hacky if they use VIM to write code. Double the time, and corrections commits all the time
Had some juniors who was git diffing in the terminal PRs of 20 more files with 200 changed lines. A newly appointed senior told them that was the best approach. Needless to say there had always to be some follow up push after they opened the PR on web. U dont need ai, but you need a fucking GUI.
He is taking orders from America so ofc he has to split Europe.
I mean, we didn’t need grok to know this.
I recently had an hook to get some investment for a startup. Money is flowing in this sector. The investor told me: find me any idea that might sell, be useful.
I went to speak with 3 associations of entrepreneurs in 3 different countries. Like guys, we have the money, give me some ideas, all services will be free for.you. All these entrepreneurs did not know where to fit AI if not for some support chat.
Several flaws here: dependomg on the tasks, you can train and retrain models. Instruct new ones. Previous errors will be greatly reduced, or disappear completely. ( if we talk about errors only ). Hallucinations are mathematically certain for less specialized models, but this is another problem all togheter.
Using ai is indeed saving money ( and time ). It excels at tedious tasks with well defined constraints. This saves me so much time everyday: ie: find X in dataset Y that do not much Z. This work was usually done by humans, with an higher error rate. If I take 3 minutes to classify 1 millions rows, which would have took me at least 3 days before, that is money saved.
This said, they trying to push the reverse centaur approach, human overseeing the ai worker, which is flawed. But companies reason in stakeholders profit and 3 months windows.
When I started as a junior i was the guy classifying 1 M records. That is how I leaned. Now we dont have juniors anymore. But companies seems to dont care about the next 5 years.
I work in AI and the only obvious profit is the ability to fire workers. Which they need to rehire after some months, but lowering wages. It is indeed a powerful tool, but tools are not driving profits. They are a cost. Unless you run a disinformation botnet, scamming websites, or porn. It is too unpredictable to really automatize software creation ( fuzzy is the term, we somehow mitigate with stochastic approach ). Probably movie industry is also cutting costs, but not sure.
AI is the way capital is trying to acquire skills cutting off the skilled.
Have to say though that having an interfacd that understands natural language opens so many possibilities. Which could really democratize access to tech, but they are so niche that they would never really drive profit.
I installed Ubuntu on my father in law laptop years ago and it is still kicking. ( he’s 85 this year) He does whatever he was doing before. My smallest which is 12 has zorin installed in her first peesonal pc and never asked any help. I think that the response greatly vary by the use of the computer you have.