facu17y
I don't do business with Israeli companies while Israel is engaged in mass Extermination of a human population they treat as dogs.
Who says web components are meant for use directly by the developer? Maybe they're primarily meant for the browser developers (those who build browser features), not for use directly by web app developers.
I guess he had a change of heart about Sam because ... ?
He did not create the breakthroughs behind the next GPT.
None of the people that may follow have the same handle on the tech as Ilya. I mean they built up Ilya's image in our mind so much, that he's one of a kind genius (or maybe Musk did that) and now we are to believe that his genius doesn't matter and that Microsoft already knows how to create AGI and that OpenAI is no longer relevant?
Or did I get it wrong?
1) That LLMs cannot generalize outside of _patterns_ they pick up during training? (as shown by a recent paper from Google, and as many of us know from our work testing LLMs and working around their short comings)
2) That every time you train a new model, with potentially very high expense, you have no idea what you're going to get. Generally better but also potentially bigger reliability challenges. LLMs are fundamentally unreliable and not stable in any kind of use case besides chat apps, especially when they keep tweaking and updating the model and deprecating old ones. No one can build on shifting sands.
3) The GPT4-Turbo regressed on code generation performance and the 128K window is only usable up to 16K (but for me in use cases more compicated than Q&A over docs, I found that 1.2K is max usable window. That's 100X than he advertised.
4) That he priced GPT4-V at a massive loss to crush the competition
5) That he rushed the GPT Builder product, causing massive drain on resources dedicated to existing customers, and having to halt sign ups, even with a $29B investment riding on the grwoth of the user base. Any one of the above or none of the above.
No one knows... but the board.. .and Microsoft who has 49% control of the board.
I fed the equation image (screenshot at the right frame from their gif then cropped) into ChatGPT (GPT4-V) and it correctly deciphered the equation and gave the correct LaText code.
Why was the repo removed?
Even in feedback loop systems where a model might "learn" from the outcomes of its actions, this learning is typically constrained by the objectives set by human operators. The model itself doesn't have the ability to decide what it wants to learn or how it wants to act; it's merely optimizing for a function that was determined by its creators.
Furthermore, any tendency to "meander and drift outside the scope of their original objective" would generally be considered a bug rather than a feature indicative of agency. Such behavior usually implies that the system is not performing as intended and needs to be corrected or constrained.
In summary, while machine learning models are becoming increasingly sophisticated and capable, they do not possess agency in the way living organisms do. Their actions are a result of algorithms and programming, not independent thought or desire. As a result, questions about their "autonomy" are often less about the models themselves developing agency and more about the ethical and practical implications of the tasks we delegate to them."
The above is from the horse's mouth (ChatGPT4)
The rationalization in your response obfuscate the real reason you were triggered to down vote, which is that you are too emotionally vested in Python and afraid to try a better alternative.
Very inflated statement when it comes to GPT4 since it is a MoE model with 8 separate models each an expert in one area, and you can't replace all 8 models with one model trained for $19.
I call BS on this claim. Maybe it matches GPT4 in the narrow domain you fine-tune it for, and if that can be done for $19 then for $19*8 you can take OpenAI out of business. That doesn't add up.
It's all the pre-training that we look to bigCo to do which can cost millions of dollars for the biggest models.
Llama2 has too small of a window for this long of a wait, which suggests that http://Meta.AI team doesn't really have much of a budget as a larger context would be much more costly.
The whole point of a base LLM is the money spent pre-training it.
But it performs badly out of the gate on coding, which is what I'm hearing, then maybe fine-tuning with process/curriculum supervision would help, but that's about it. .
Better? yes. Revolutionary? Nope.