Yeah, this is actually a pretty great application for AI. It’s local, privacy-preserving and genuinely useful for an underserved demographic.
One of the most wholesome and actually useful applications for LLMs/CLIP that I’ve seen.
Yeah, this is actually a pretty great application for AI. It’s local, privacy-preserving and genuinely useful for an underserved demographic.
One of the most wholesome and actually useful applications for LLMs/CLIP that I’ve seen.
I don’t think it’s necessarily a bad thing that an AI got it wrong.
I think the bigger issue is why the AI model got it wrong. It got the diagnosis wrong because it is a language model and is fundamentally not fit for use as a diagnostic tool. Not even a screening/aid tool for physicians.
There are AI tools designed for medical diagnoses, and those are indeed a major value-add for patients and physicians.
Precisely. Many of the narrowly scoped solutions work really well, too (for what they’re advertised for).
As of today though, they’re nowhere near reliable enough to replace doctors, and any breakthrough on that front is very unlikely to be a language model IMO.
Exactly. So the organisations creating and serving these models need to be clearer about the fact that they’re not general purpose intelligence, and are in fact contextual language generators.
I’ve seen demos of the models used as actual diagnostic aids, and they’re not LLMs (plus require a doctor to verify the result).
There are some very impressive AI/ML technologies that are already in use as part of existing medical software systems (think: a model that highlights suspicious areas on an MRI, or even suggests differential diagnoses). Further, other models have been built and demonstrated to perform extremely well on sample datasets.
Funnily enough, those systems aren’t using language models 🙄
(There is Google’s Med-PaLM, but I suspect it wasn’t very useful in practice, which is why we haven’t heard anything since the original announcement.)
It is quite terrifying that people think these unoriginal and inaccurate regurgitators of internet knowledge, with no concept of or heuristic for correctness… are somehow an authority on anything.
I know of at least one other case in my social network where GPT-4 identified a gas bubble in someone’s large bowel as “likely to be an aggressive malignancy.” Leading to said person fully expecting they’d be dead by July, when in fact they were perfectly healthy.
These things are not ready for primetime, and certainly not capable of doing the stuff that most people think they are.
The misinformation is causing real harm.
I saw a job posting for Senior Software Engineer position at a large tech company (not Big Tech, but high profile and widely known) which required candidates to have “an excellent academic track record, including in high school.” A lot of these requirements feel deliberately arbitrary, and like an effort to thin the herd rather than filter for good candidates.
Idk… in theory they probably don’t need to store a full copy of the page for indexing, and could move to a more data-efficient format if they do. Also, not serving it means they don’t need to replicate the data to as many serving regions.
But I’m just speculating here. Don’t know how the indexing/crawling process works at Google’s scale.
This is probably an attempt to save money on storage costs. Expect cloud storage pricing from Google to continue to rise as they reallocate spending towards ML hardware accelerators.
Never been happier to have a proper NAS setup with offsite backup 🙃
Moon is such a fantastic film in its own right. Absolutely shook me when I saw it the first time.
It’s an interesting idea! I think there are many such applications for federation protocols.
A few thoughts/questions:
The reddest of red flags.
Open source vulnerabilities typically stem from poorly written code
Yeah, because paid programmers never write bad closed-source code…
Surprised I had to scroll this far down to see this!
Sonarr and Radarr with Ombi for requests if desired. Transmission + OpenVPN for the download side.
Or you could manually rip DVDs/Blu Rays if you can still get ahold of them for the stuff you want to watch.
I use OTP Auth. Syncs via iCloud and has an Apple Watch app. Plus allows export which is convenient for if I ever want to switch platforms back to Android.
Did they ever satisfactorily resolve that issue, or did the media just stop covering it as aggressively? Last I heard they were trying to add solar shields to the satellites to reduce their albedo.
Discovered that the credentials for the library computers (which were helpfully printed on stickers for the forgetful librarians), were in fact domain admin credentials.
Gave myself a domain admin account, used that to obtain access to some sensitive teacher-only systems (mostly for the challenge, but also because I wanted to know what was going on my school report ahead of time).
My domain admin account got nuked, but presumably they didn’t know who had created it. Looked up the school’s vendor (“Research Machines Ltd.”) and found a list of default account credentials. Through trial and error, found another domain admin account. Made a new account (with a backup this time) and used it to install games on my classroom’s computers.
Also changed the permissions on my home directory so that the school’s teachers (who were not domain admins) couldn’t view my files, because I felt that this was too invasive at the time.
That last bit got me caught proper, and after a long afternoon in the principal’s office I left school systems alone after that for fear of having a black mark on my “permanent record”.
Power management is going to be a huge emerging issue with the deployment of transformer model inference to the edge.
I foresee some backpedaling from this idea that “one model can do everything”. LLMs have their place, but sometimes a good old LSTM or CNN is a better choice.