410839 pts · November 18, 2015
Look, all I can say is that I am definitely NOT made entirely of bees.
Stay right there I'm calling FEMA
Well, she lost one to that Grimace Shake. Who knows how many she has left?
Bruh, Gaiman is a monster. Have you not heard of all the allegations against him?
*more American spyware
#3 is bad AI art...
1025! I know because I CAUGHT THEM ALL. Childhood me is constantly delighted by this fact.
America has only ever gotten involved to protect itself (WWI and II) or to expand its control (all the others). We ARE the bullies.
Depends. This is kind of how companies keep making bigger phones....that don't fit in many women's hands. A 2-3 lb difference can push a machine from featherweight to uncomfortable for some folks.
Better overall, sure. But in the rush to get better specs, some useful features have been lost. Most laptops have tried to emulate the Macbook Air's success by going sleek and slim. To be fair, not all.
I_volunteer.jpeg
I used to use an MSI Stealth laptop that doubled as a white noise machine. The GPU absolutely wanted to catch fire, but those three fans were doing the Lord's work.
Companies figured out they can TELL consumers what they want, then market that thing. I'd argue Apple was the template for that strategy in tech.
On his way to Vermont to deliver his haul. Little guy is a dedicated worker.
Herrell's is awesome. Highly recommend to anyone passing through that part of MA.
That's not really true. The work to take a promising molecule and perform the testing, formulation, dose planning, etc is a MASSIVE undertaking.
Yes, which is why radiologists need to spearhead this effort, versus letting data scientists doing it solo. I say this as a data scientist in pharma. We need to listen to the experts first and THEN develop tools that help them.
They are. It's just that we hear about LLMs in the news, whereas these applications are discussed in scientific journals. The literature is FULL of exciting new AI research — I encourage everyone to check out some review articles.
I suspect the AI here isn't being developed by a company like OpenAI. You can build these models using tools available in Python, and if you have the computing power, you can scale up to applications like this.
Not necessarily. LLM is usually what causes most common problems. Generative AI includes many other methodologies that are useful for analysis and research purposes.
Not quite correct... This is very much an instance of machine learning (ML), which encompasses methodologies that were proposed in the 1940s/50s up to those in use today. Of course, advances in the past 15 years have RADICALLY altered the scope of algorithms that define ML, but it's still ML. Even deep learning was originally proposed in the mid 50s (but technology limited its capabilities).
Are those wooden masts? Handsome.
My understanding is that the layers aren't preserved, but that new layers form as the lava cools.
I mean, they are flaming...
What are some examples of fiddling you might do? I've added some bash scripts for common commands and such, but haven't dove in much farther.
The actual explanation involves forward biasing, quantum energy levels, and electron holes. It's surprisingly complex for something we use daily. I covered some of this during undergrad, but I still only sort of get it. Lmk if you find a better way to explain it!
Think of a bunch of people pushing someone over a fence. The person being pushed can't rest while being pushed, nor on the fence. Once he's pushed over, he falls to the ground, releasing the built up energy as a cloud of dust and an "oof."
The band gap is just a concept that relates to energy levels electrons CAN'T have. But the electrons in this system have energy, so they eventually overcome that gap and then "fall" back to a lower energy level. That fall releases energy, and that energy is a photon.
What distro did you go with? I just made the same move (to Mint) for the same reason and I'm extremely happy with it.
That's like saying a restaurant can't afford to give you a spoon because spoons are expensive and they need to save money in case you need a fork. If you can't offer both, you shouldn't be in business.
That's an unusual chalcopyrite, but apparently not unusual for Riotinto. Cool!
Stay right there I'm calling FEMA
Well, she lost one to that Grimace Shake. Who knows how many she has left?
Bruh, Gaiman is a monster. Have you not heard of all the allegations against him?
*more American spyware
#3 is bad AI art...
1025! I know because I CAUGHT THEM ALL. Childhood me is constantly delighted by this fact.
America has only ever gotten involved to protect itself (WWI and II) or to expand its control (all the others). We ARE the bullies.
Depends. This is kind of how companies keep making bigger phones....that don't fit in many women's hands. A 2-3 lb difference can push a machine from featherweight to uncomfortable for some folks.
Better overall, sure. But in the rush to get better specs, some useful features have been lost. Most laptops have tried to emulate the Macbook Air's success by going sleek and slim. To be fair, not all.
I_volunteer.jpeg
I used to use an MSI Stealth laptop that doubled as a white noise machine. The GPU absolutely wanted to catch fire, but those three fans were doing the Lord's work.
Companies figured out they can TELL consumers what they want, then market that thing. I'd argue Apple was the template for that strategy in tech.
On his way to Vermont to deliver his haul. Little guy is a dedicated worker.
Herrell's is awesome. Highly recommend to anyone passing through that part of MA.
That's not really true. The work to take a promising molecule and perform the testing, formulation, dose planning, etc is a MASSIVE undertaking.
Yes, which is why radiologists need to spearhead this effort, versus letting data scientists doing it solo. I say this as a data scientist in pharma. We need to listen to the experts first and THEN develop tools that help them.
They are. It's just that we hear about LLMs in the news, whereas these applications are discussed in scientific journals. The literature is FULL of exciting new AI research — I encourage everyone to check out some review articles.
I suspect the AI here isn't being developed by a company like OpenAI. You can build these models using tools available in Python, and if you have the computing power, you can scale up to applications like this.
Not necessarily. LLM is usually what causes most common problems. Generative AI includes many other methodologies that are useful for analysis and research purposes.
Not quite correct... This is very much an instance of machine learning (ML), which encompasses methodologies that were proposed in the 1940s/50s up to those in use today. Of course, advances in the past 15 years have RADICALLY altered the scope of algorithms that define ML, but it's still ML. Even deep learning was originally proposed in the mid 50s (but technology limited its capabilities).
Are those wooden masts? Handsome.
My understanding is that the layers aren't preserved, but that new layers form as the lava cools.
I mean, they are flaming...
What are some examples of fiddling you might do? I've added some bash scripts for common commands and such, but haven't dove in much farther.
The actual explanation involves forward biasing, quantum energy levels, and electron holes. It's surprisingly complex for something we use daily. I covered some of this during undergrad, but I still only sort of get it. Lmk if you find a better way to explain it!
Think of a bunch of people pushing someone over a fence. The person being pushed can't rest while being pushed, nor on the fence. Once he's pushed over, he falls to the ground, releasing the built up energy as a cloud of dust and an "oof."
The band gap is just a concept that relates to energy levels electrons CAN'T have. But the electrons in this system have energy, so they eventually overcome that gap and then "fall" back to a lower energy level. That fall releases energy, and that energy is a photon.
What distro did you go with? I just made the same move (to Mint) for the same reason and I'm extremely happy with it.
That's like saying a restaurant can't afford to give you a spoon because spoons are expensive and they need to save money in case you need a fork. If you can't offer both, you shouldn't be in business.
That's an unusual chalcopyrite, but apparently not unusual for Riotinto. Cool!