I’ve been playing around with the Whisper models for a few years now. Last year I had an idea about how to run Whisper Large v3 in real time. That idea became ScribeAI.
Because the quality of transcripts was so high, much higher than I could get with Parakeet, I started to think about how it would serve as a good input for live translation. I played around with this and was surprised by how good the results is, I’ve used it to follow along political speech’s from foreign leaders and other content I’d have just never been able to consume before. You can translate by bringing your own LLM service API key or using the inbuilt Apple Translate models (for a completely offline experience).
Why does psychiatry need to have an ‘equivalent’ of a sprained ankle?
Most people recognise a sprained ankle, at least mild ones, as a self limiting illness. An issue with psychiatric diagnoses is that they are often not taken to be self limiting and often become a large part of a patients self image. While sometimes this can be helpful and help inform treatment it can also be harmful and I have seen this harm first hand in patients I see.
For context Rheumatoid Factor is present in 4% of the healthy population, an even upto 30% in certain populations like native Americans [1]
ANA is positive in 15% of the population [2]
The idea that the tests rule out serious causes is not really correct, people can have seronegative inflammatory arthritis in which case these tests are negative. Peace of mind is dubious as well given that even with a positive test you are still more likely to not have an inflammatory arthritis.
It’s a common misconception that blood tests are binary and provide concrete answers. Sometimes they do. But most blood tests, like many measurements, are far from binary and have a distribution across the normal population, once it passes an arbitrary threshold it does not necessarily mean you have disease X, context (clinical history and examination) are often far more important in making a diagnosis.
Unfortunately some of the population tend to overweight blood tests vs a physicians assessment, I guess they see the former as an objective measure and the latter as subjective. Especially because if you shop around enough clinicians you’ll eventually find one who will say what you want to hear and that one will inevitably be ‘right’.
A: For the majority of people weight loss and dietary changes will do the job
How do you fix Crohns?
A: You don’t ’fix’ Crohn’s per se as there is no cure. But most people with Crohn’s can be have their disease managed well with -mab medications
In all those conditions you named surgical management is very much at the end of the list and for a minority of patients who do not respond to the above. The first line management in all of these conditions very much does look at ‘fixing the problem’ contrary to what your espousing.
Both the ‘gold’ answer and the model reference a PA and AP view respectively as well as a lateral chest radiograph. The picture only contains a lateral radiograph though.
“- There's a paper from ~6 months ago by some researchers who claimed to get slightly better performance than Whisper vanilla, but their code is not public, and I can't find any blog posts or articles talking about using their work.”
What I’m saying is if it is possible to train transformers to achieve AGI, then why hasn’t it happened yet? What’s the limitation that will be overcome in the next 5 years?
I don’t think it’s so clear. The transformer has been available for 6 years, if it were possible to train one to achieve AGI then what’s stopped anyone from doing this that won’t still be the case in 5 years time, given than there’s potentially ?trillions on the table for anyone that does.
We’re 5+ years from the transformer and we’re still using the transformer for the most cutting edge llms. I don’t see what difference another 5 year is going to make unless someone invents something new that can surpass the transformer, and given the amount of money and resources that has been put into AI since 2017 and the lack of innovation since (in terms of fundamental architecture, not things like Lora and Rope) then I’d say the chances are way way lower than 50%.
This field is littered with studies like this, measuring hundreds of different outcomes and then presenting the statistical noise as positive findings.
Putting more out there will increase the probability of a reward, but it doesn’t guarantee it.