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How exactly do you think chatgpt is going to get funded?

Google has been the biggest team player when it comes to publish advances in AI. OpenAI has been the worst: AI research paper of big players.

Most of the techs that made ChatGPT possible were published by Google. Worse: OpenAI does not publish the 1% of things that makes ChatGPT unique (though we know enough to have a pretty good idea of what they did).

I'd be whiny in their place as well. The GPT family is not super innovative, they just ran away with an architecture mostly made by Google (Transformers/BERT), stripped it of everything that prevented huge parallelization (which many suspect included things that would allow it to stay "grounded" in reality) and slapped more compute on it.

One practical issue with high speed cameras is the lightning that is required to still get enough exposure. Depending on your situation, you might draw in a lot of bugs, which can then negatively interfere with your system.

I have a theory that human imagination/creativity is linked to our dreams, and that we learn and change faster because our different brain halves play off scenarious to each other to test them out. our internal dreamworld can suspend and jump over the limitations of the physical world (like time, place, senses), but still manage to improve how we understand and interact with the world when awake. I think a better understanding of the human brain and especially dreams is needed for the next big leap in machine learning, instead of the brute force techniques used now to train static models.

Perhaps when we can grow human-like brains and interface with them?

My research would greatly benefit from high speed cameras: https://hackaday.io/project/167317-fibergrid

I'm not surprised. Honestly, Google is caught with their pants down on AI integration. They have focused on backend systems to make their ad revenue more profitable. What Microsoft is doing is adding value to the end user. That is a major shift in people's focus on what AI means to everyone, not just Google.

Microsoft is taking a very visible lead in AI for the masses by integrating ChatGPT with Bing, Microsoft 365, development tools, etc. If ChatGPT provides anything near the level of benefit that Co-Pilot does for developers Google has a very valid concern.

I think Microsoft's approach, focusing on the end user value, will make this event be pivotable for how AI is used. Also keep in mind Microsoft is also releasing the biochat GPT, and I suspect there will be a number of targeted releases in the next weeks or months.

A brave new world...

It’s clearly the case already. Shutterstock sold pictures to open-AI to create Dalle-2. Which will soon be used to create what used to be stock photography. This example here is ridiculously bad tho 🤣

Nothing means anything if you're unfamiliar with the commonly understood meaning of words.

The dictionary definition of "inspiration":

>the process of being mentally stimulated to do or feel something, especially to do something creative.

Diffusion models are not, and do not have minds.

Pichai has crippled Google

Maybe Cortana won't be braindead

Meta is fairly open with what it's doing. But it seems like their teams are disconnected so there's no coordination.

Google seems to only announce when it's approved or sufficiently polished. Or just never showing to the public.

Apple only releases as part of a product or feature.

"can we see it?"

"... No"

Thank you very much.

bloom is pretty terrible, unfortunately

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Pot calling the kettle black. A company known for appropriating images not belonging to them, suing another...

I believe the fine-tuning dataset matters as well as the model but I guess we'll see. I think they plan on fine-tuning.

The set used to tune OPT doesn't contain any chain of thought.

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Why? A lot of websites are already starting to use ai generated images rather than stock photos as headers for their articles. They would have previously paid companies like Getty for these.

Call me when logistic regression can generate a realistic detailed digital painting by greg rutkowski.

All the computation is happening on the GPU. Python is just making a bunch of calls to the GPU drivers.

Researchers spend a lot of time making neural networks as fast as possible. If switching to another language would have given a substantial speed boost, they would have done it already.

That's not my takeway. GLM-130B is even behind OPT according to the mean win rate, and the instruction tuned version of OPT in turn is worse than FLAN-T5 which is a 10x smaller model (https://arxiv.org/pdf/2212.12017.pdf Table 14)

The answer is sort of but not really. A lot of the common packages in ML And data science are in python, but the computations happen in C/C++, Fortran, Scala and others to name a few.