10 Intriguing Facts About OpenAI's Strawberry AI Model

Published On Sun Sep 01 2024
10 Intriguing Facts About OpenAI's Strawberry AI Model

Why strawberry is not interesting to me - Community - OpenAI ...

Imho, if it’s for real, it’s the singularity. If it’s not, than it’s just a marginal agent framework among zillions of marginal agent frameworks. I mean… for real. If it works, DO something. Solve a critical and novel problem. Make zillions in the stock market. Don’t just publish YAFAF.

Where’s the paper from OpenAI where they’ve proven some challenging math problem? I mean, come on already. Get real. For those saying leave it to experts, well than it’s the experts solving the problems. We have 8th graders who are doing amazing things with GPT4 and Claude. Mind boggling things. If 8th graders can do it, then OpenAI PHds should be able to use vaunted Strawberry to make SOTA advancements in some field they are vaguely familiar with. I understand your point of view.

Regarding strawberry, there’s currently no official information from OpenAI. While there have been media reports about a demonstration given to the American national security officials, we have no way to verify what kind of problems it can solve or to what extent. On the other hand, considering that companies need to attract market attention, we can also understand the series of actions taken. I personally speculate that strawberry is likely positioned as a somewhat improved version of the GPT-4 model. However, I believe that how much better it is compared to the current model should be evaluated after it’s made publicly available. I think we’re now at a point where the BS walks and SOTA talks.

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Innovations in AI

Early computers amazed people by performing precise calculations at speeds far beyond those of humans. For a long time, calculation was thought to be uniquely human, so computers capable of such intellectual tasks were believed to possess human-like consciousness. Later, when a computer defeated the human chess champion, it initially caused a stir as it seemed humans had lost in an intellectual arena.

However, people soon realized that this achievement was the result of an accumulation of processes, rather than true intelligence. Similar occurrences happened in Shogi and Go, and now we’re seeing the same with GPT in natural language generation. Essentially, it’s the same story repeating itself. That technological progress does not create more problems than it solves is my fervent hope. This is because we are facing an overwhelming number of urgent issues, and time - as precious as life itself - is rapidly slipping away.

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The Future of AI

One interesting comment I saw was that the descriptions for the models in ChatGPT have changed. GPT-4o now being changed to “Best for daily tasks” which loosely implies a new model is coming for “deep tasks”. An incremental update wouldn’t be the worst, it leads to richer training data.

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