How is that For Flexibility?
maplenorthrup редагує цю сторінку 4 місяців тому


As everyone is aware, the world is still going nuts attempting to develop more, newer and better AI tools. Mainly by tossing absurd amounts of cash at the problem. Much of those billions go towards developing inexpensive or complimentary services that run at a substantial loss. The tech giants that run them all are wanting to draw in as lots of users as possible, so that they can catch the market, and end up being the dominant or only celebration that can use them. It is the traditional Silicon Valley playbook. Once dominance is reached, anticipate the enshittification to start.

A likely way to make back all that money for establishing these LLMs will be by tweaking their outputs to the preference of whoever pays one of the most. An example of what that such tweaking appears like is the rejection of DeepSeek's R1 to discuss what occurred at Tiananmen Square in 1989. That a person is certainly politically motivated, but ad-funded services won't precisely be fun either. In the future, I totally anticipate to be able to have a frank and imoodle.win honest discussion about the Tiananmen events with an American AI representative, however the only one I can afford will have assumed the personality of Father Christmas who, while holding a can of Coca-Cola, will intersperse the recounting of the tragic events with a cheerful "Ho ho ho ... Didn't you understand? The vacations are coming!"

Or perhaps that is too improbable. Right now, dispite all that money, the most popular service for code conclusion still has trouble dealing with a number of simple words, despite them being present in every dictionary. There must be a bug in the "complimentary speech", or something.

But there is hope. One of the tricks of an approaching player to shake up the marketplace, is to damage the incumbents by releasing their design for complimentary, under a permissive license. This is what DeepSeek simply did with their DeepSeek-R1. Google did it earlier with the Gemma designs, as did Meta with Llama. We can download these designs ourselves and run them on our own hardware. Even better, people can take these models and scrub the biases from them. And we can download those scrubbed designs and run those on our own hardware. And [users.atw.hu](http://users.atw.hu/samp-info-forum/index.php?PHPSESSID=f48a03d578093c3f17f5a665759a48fe&action=profile