Not sure I know where I fall regarding your point: Yes to trade secrets, but also science and AI should be for the good of all.
OpenAI seems to be trading roles back with Anthropic becoming misanthropic. I hope they both start heading in the direction of how the AI field was prior to LLMs.
Collaboration and benefit for all should always be the primary motivator.
Concise responses come from people with writing skills who can get to the point without adding more words to sound smart.
"Elegant prose instantiated through remarkably tailored execution of written word may allow an author's desired intention to flow in a certain way to achieve a precise effect whilst simultaneously allowing said author to sound of much higher mind and thought to the reader." - I probably butchered it but my point is that AI slop seems to be the average of the outputs.
Images that look similar to others because they're average of all the current outputs. Same with music and video. We're noticing when something is AI because it has this signature that's average to other outputs.
Original content is crafted even though inspired by other works.
We're at a weird point where AI is capable but constrained.
As compute increases and AI becomes more personalised I feel the current implosion will explode again into variety.
So essentially PlayStation is over everyone go home... because we don't buy content anymore, we license it and denial of physical media is final nail in the coffin.
Heh. Summarising allows the benefit of full intelligence whilst preventing "misuse". Where "misuse" is likely competitors stealing thinking traces. Even though this is clearly work inspired from the OpenAI Strawberry era.
I think it's good practice to get on top of the cautious thinking of "LLMs aren't that smart for now".
Eg. Fable isn't as good as the hype: it has cool tricks like scratch-padding to check expectations in advance, but we're not there just yet...
Specifically I mean: thinking in terms of it changing abruptly ensures we're ready for if the LLMs do get smart enough to do multi-level strategy and cause a lot of annoyances....
People are still hiring, it's just very competitive - reframe rejection as learning opportunities returning wisdom.
In retrospect, many companies you get turned down from are likely companies you don't want to work for anyway hence the incompatibility.
It may be hard, but positive mindset will go very far towards enhancing your outcomes - you need to bring others up around you as well. Pause on this and think about the first thing that comes to mind when you respond to these words.
Yep. I'm with you here. If it's a 4% loss now for training data to catch up and improve later, we're better off in the long run. I'd like to believe that generally people are nice to AI for the sheer sake of enforcing good communication practices.
Aw. The listen to article widget doesn't work properly on mobile Safari and when using the options button, the popup appears below the "In this article" dropdown occluding it.
At least it read the authors of the article to me.
I wish we would push more towards testing code. Agentic AI excel when it's engaged.
Especially when it waits a month and all the effort is either irrelevant or incompatible with latest changes that finally got through. So much token wastage to top off the recent chaos. Hopefully it improves just as fast as it materialised.
OpenAI seems to be trading roles back with Anthropic becoming misanthropic. I hope they both start heading in the direction of how the AI field was prior to LLMs.
Collaboration and benefit for all should always be the primary motivator.