Looks like this is the instragram page of the photographer for the inkjet photo.
It's very obviously not a standard inkjet printer setup, but if you poke around you'll see some custom rigs that make it come together.
15,846 karma · joined March 6, 2014
It's very obviously not a standard inkjet printer setup, but if you poke around you'll see some custom rigs that make it come together.
Never thought about this before. Would that mean that heat propagates much more quickly? Possibly even approaching the speed of sound of the material?
The last place I worked and my current job have a tremendously bureaucratic process for standing up new internally trained models. You could easily spend ten times as much mental energy and effort doing the paperwork and revisiting it annually as you do in the care and feeding of the model itself.
If a canned product meets the requirement, there's a lot to be said for using it. Even if it costs a bit more per decision, the all-in costs are WAY lower.
I went down a similar rabbit hole soon after covid started to build a small, eh, 'hand sanitizer factory' (that's my story and I'm sticking to it). By the time it was done I had a fully automated distillation setup complete with load cells, six different temperature readouts, solid state current control, flow/temp control for liebig condenser recycle, hierarchy of pid loops largely managing output flow and an attempt at live specific gravity testing. That with a nifty little dashboard to show live progress and compare metrics from various runs. Spent a couple grand on it in total and learned a LOT in the process.
She visited a friend's house and started getting an itchy throat immediately. Friends knew of her allergy and obviously hadn't prepared any.
Turned out the dog food had peas in it and the bag was open on the other end of the house in the kitchen. (And a supporting role from whatever the dog had slobbered on in the living room)
Sometimes it blows me away how sensitive our bodies can be.
And? What is the point of this observation? Of course they are unlikely to do anything. Your other option is to do nothing and die. Nothing wrong with that if that's what people choose to do...'accept their fate' and all that. I'm not opposed to it at all, there's a certain appeal to it.
But when your wife and the mother of your two beautiful daughters is laying helpless on nature's altar you fucking move dude. You don't do nothing.
In our case it was a clinical trial that the oncologist was aware of and we got in. I'd obviously heard of clinical trials but that was my introduction to the machinery by which they operate.
Memorial Sloan Kettering is widely considered one of the best treatment centers for gynecological cancers, and they were completely useless for us. The Dr. spent about 15 minutes talking to us and reviewing the case, gave no advice, said nothing in favor of or against the current plan and just said to reach back out after the current treatment plan played out.
This was six years ago and I still can’t think about it much without raising my blood pressure.
Anyway, patient advocate and phone calls/office visits are about the only tools you have. It can be a full time job keeping things on track.
I would just say that ‘dangerous’ is relative and when the standard of care leaves effectively no hope, your tolerance for risk can change. Yes this does increase that chance of shortsighted decisions or manipulation. That just comes with the territory, I’m still very appreciative that we have the option to elect to participate in the peocess.
They were complete no-ops and a waste of time. Faced with that same situation today I would simply lie about whether or not a treatment plan was put into place.
Second bit of advice is to try as best you can to go into clinical trials with an understanding of the landscape of disqualifying treatments. Any immunotherapy treatment, for example, will disqualify you from nearly all subsequent clinical trials for immunotherapy.
Lastly the thing I would recommend for partners of loved ones in the crucible, don't get too distracted by trying to 'save the patient' that you miss opportunities stay connected with them in the process. It's not your responsibility to save their life, as much as it might feel that way when you're in the thick of it.
I think one thing is consistent across all of these visualizations: they moved the needle. Hard to say what that needle points at or where the redline is, but fleet change is afoot.
So in addition to the skin damage that’s super obvious in this vid, you have this sharp buzzing crackling sound like some turbo sting gun.
Add in a bunch of model governance and oversight for anything you train yourself and it’s pretty much a slam dunk deal.
I had a personal development account for ~15 years. I tinker with infrastructure stuff and had built some centralized event reporting. One day about two years later I turned on sqs data events into cloudtrail. What I didn’t realize was that this closed a feedback loop and over the next couple of hours my run rate went to about $4k per day in cloudtrail+sqs usage.
I didn’t realize it until I hit the next months billing alarm immediately the next month. I’d racked up $25k in usage fees.
I’ll be using this feature. Nothing I run is worth that risk.
Which will likely get cut off at some point.
Revolutionary? With an appropriate harness could could do the same thing with the vast majority of modern large language models.
It's just so much faster and so much cheaper that it feels qualitatively different.
I also think it represents a bit of validation for folks looking for ways to bake models into hardware. Sometimes it's perfectly appropriate to sacrifice good for fast and cheap. I haven't asked Jev to do anything that GPT-3.5 would have likely done worse with.
The fly brain thing on the other hand.
Fed Claude an api key from typesafe and a link to documentation, and within about 10 minutes I had a view of HN that was populated with a little ranking as to sloppiness of each comment.
When your mind has been wired a bit to LLM latency, it feels extremely fast, and for such a subjective rating I think it did a good job.
Feels like it sits in a space between traditional ML classification and the frontier models. I can't think of a 'real' production use case for it in my sphere of influence, but certainly some will. And of course there will be five Jev competitors by the end of the year.