Why would Figma have sold to Adobe if they were not paying a premium, assuming they’d grow?
I can understand you looking at the headline valuation but as an independent company traded with lots of potential to grow with AI tools their stock will probably double… a quick Google appears to suggest a 250% uplift from the IPO price so the company would potentially have added $58bn (the figure I’ve seen quoted) to Adobe’s bottom line.
I think most software is extremely buggy and it’s about to get much worse… just today several comments just disappeared from YouTube, did they even get written there? Uber has a whole feature about upgrading to Uber Comfort - it’s never worked once for me just gives an error. Three have managed to not take PAYG top up automatically for the nth time. Google’s UI is broken everywhere, loads of sites including John Lewis don’t seem to scroll on my iPhone 15 Pro Max and the camera still doesn’t work correctly in WhatsApp (macro mode is not automatic) and don’t get me started on how buggy Dynamic Island is etc. etc.
There’s just shit buggy software everywhere now and I’m definitely not expecting AI to make the way we build things better.
It’s only if heart muscle dies does that show up, you can have an important artery narrow without symptoms until suddenly a bit of plaque breaks off completely blocking a path causing bits of muscle to actually die.
EKGs should be extremely easy for AI to identify every disease with a range of probabilities and even some humans can’t identify from EKGs. Do we have the labelled dataset for this?
I had an EKG last week, the analysis comes back "borderline". Running down every abnormality listed (I know my cardiologist has seen it, didn't consider it notable) has a range of possible causes, including the changes that come with good endurance.
"It should be very easy for an AI to look at an x-ray, CT, ultrasound or MRI image and tell what disease a human got, even some that humans don't know of.
No the examples you give are extremely difficult compared to the 2D graphs of an EKG. The Apple Watch is clearly doing some fairly accurate inference with a single lead around arrhythmias, for example. I’m really sorry for being enthusiastic about machine learning, I just finished doing an intensive ML bootcamp and it was fun getting results. I also actually have some heart issues so I’d love to see if I could get a result. Thanks for your constructive comment though, I’ve never seen ones like this here before!
I'm not talking about me successfully building an AI that can do better than humans or identify all the worlds heart diseases I'm more looking to have fun and play around with some data (and yes learn more about the domain by doing!). I was maybe a bit too excited about seeing what would happen with a real dataset like this, but it's a hacker news comment not a PhD defence, no need to be so negative. Thanks.
Well I've been subjected to these tests and I fell between the lines, I was clearly below normal health (had trouble walking) but they said there was no issues. So I wondered if there's not more subtleties. Like lag between effort and signals showing up, or vascular issues like micro clotting impeding flow.
I think the issue was the people running it were the type of people who are taught to ruthlessly look at a spreadsheet and decide if Coca Cola can invest X in marketing and product development they can expect to get Y back (with reasonable accuracy). Of course with software small teams can do big things so these calculations are almost impossible.
Investing a billion dollars in your search engine in ~2008 might be considered insane of course. We were told by Carol Bartz at an all hands that they had done the work on their spreadsheets and they could not compete with the investment Microsoft and Google were planning. It still annoys me to this day that there was no discussion or attempt to decide if the engineers and the company were up for the challenge with Google, even with less money. I'm not saying Yahoo! would have won, but to not even have bothered trying still irritates me - where is your vision? where is your fight?
Anyway this is my take on it, the management decided to just give up on being technically excellent and even being a software company at some point. The mind boggles why you would do this while software was eating the world and you had loads of fantastic engineering talent...
Honestly I know this sound snarky but it’s 100% true - Three has become so unbelievably bad in East London lately I’d struggle to know if it was affected by this outage or if it was business as usual for them. I could go on about how broken their billing and app and site were but meh… need to change provider.
You reminded me that a couple of jobs ago (I tend to stay with jobs for a long time) we discovered that a local paging tower had failed because one of our techs could not receive pages at home. Our assumption was that we were basically the last people using their service in the area.
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