How is that For Flexibility?
As everybody is aware, the world is still going nuts trying to establish more, newer and better AI tools. Mainly by throwing unreasonable quantities of money at the problem. Many of those billions go towards developing cheap or totally free services that run at a significant loss. The tech giants that run them all are hoping to bring in as many users as possible, so that they can capture the marketplace, and end up being the dominant or only celebration that can offer them. It is the traditional Silicon Valley playbook. Once dominance is reached, anticipate the enshittification to begin.
A likely way to earn back all that money for developing these LLMs will be by tweaking their outputs to the liking of whoever pays the a lot of. An example of what that such tweaking looks like is the refusal of DeepSeek's R1 to discuss what occurred at Tiananmen Square in 1989. That one is certainly politically motivated, however ad-funded services won't precisely be enjoyable either. In the future, I totally anticipate to be able to have a frank and honest discussion about the Tiananmen events with an American AI agent, but the just one I can manage will have assumed the persona of Father Christmas who, while holding a can of Coca-Cola, will intersperse the stating of the terrible events with a happy "Ho ho ho ... Didn't you know? The vacations are coming!"
Or maybe that is too far-fetched. Right now, dispite all that cash, the most popular service for code conclusion still has problem dealing with a number of simple words, regardless of them being present in every dictionary. There must be a bug in the "complimentary speech", or something.
But there is hope. Among the tricks of an upcoming player to shake up the marketplace, is to undercut the incumbents by releasing their model free of charge, under a liberal license. This is what DeepSeek simply did with their DeepSeek-R1.
As everybody is aware, the world is still going nuts trying to establish more, newer and better AI tools. Mainly by throwing unreasonable quantities of money at the problem. Many of those billions go towards developing cheap or totally free services that run at a significant loss. The tech giants that run them all are hoping to bring in as many users as possible, so that they can capture the marketplace, and end up being the dominant or only celebration that can offer them. It is the traditional Silicon Valley playbook. Once dominance is reached, anticipate the enshittification to begin.
A likely way to earn back all that money for developing these LLMs will be by tweaking their outputs to the liking of whoever pays the a lot of. An example of what that such tweaking looks like is the refusal of DeepSeek's R1 to discuss what occurred at Tiananmen Square in 1989. That one is certainly politically motivated, however ad-funded services won't precisely be enjoyable either. In the future, I totally anticipate to be able to have a frank and honest discussion about the Tiananmen events with an American AI agent, but the just one I can manage will have assumed the persona of Father Christmas who, while holding a can of Coca-Cola, will intersperse the stating of the terrible events with a happy "Ho ho ho ... Didn't you know? The vacations are coming!"
Or maybe that is too far-fetched. Right now, dispite all that cash, the most popular service for code conclusion still has problem dealing with a number of simple words, regardless of them being present in every dictionary. There must be a bug in the "complimentary speech", or something.
But there is hope. Among the tricks of an upcoming player to shake up the marketplace, is to undercut the incumbents by releasing their model free of charge, under a liberal license. This is what DeepSeek simply did with their DeepSeek-R1.