The co-CEO gives a terrible example. A developer is working while commuting? How clear is one's thinking skills during that time? How safe is that to deploy a production commit? Does Spotify test in prod?
>> For me it's a highly rewarding and enjoyable activity, just like studying mathematics. Nevertheless, the main motivator for me has been always the final outcome
There are two attitudes stemming from the LLM coding movement, those who enjoyed the craft of coding MORE, and those who enjoy seeing the final output MORE.
I agree with the nolanlawson's sentiment. What's interesting is many of the opposing statements here seem to be less interested in the actual code, and more interested in the final state. Both are valid, but one is going away due to technological advancements. That is the mourning.
There are some of us who enjoyed the code as a thing to explore. Others here don't seem to like that as much.
I've never bought into it because like 80% of the work the world does is CRUD-level stuff which should be boring and simple so it can be readable and maintainable.
The craftspeople doing the other 20% of the code are at the top end of the skill spectrum, but AI is starting from the bottom and working its way up. They should be the least worried about AI taking over their output.
This is like throwing together dozens of stick frame homes that look alike vs. building custom log, brick, or stone houses. No one is going to be tearing down my drywall and marveling at how well the studs are spaced.
Even if I were retired and financially set now, that would mean nothing in 10 years if an unemployed society collapses around me. Apathy is not on the menu today.
>People who have reaped the rewards of their careers tend not to be the ones concerned about their futures. Apathy.
Not everyone has to become a programmer, people at the start of their careers can chooses paths other than programming if they're afraid of the (lack of) future prospects from AI. Where did people work before the ZIRP boom? Those industries are still around. Plenty of STEM related jobs besides programing.
Computers did feel like magic... until I read code, think about it, understood it, and could control it. I feel we're stepping away from that, and moving to a place of less control, less thinking.
I liked programming, it was fun, and I understood it. Now it's gone.
It's not gone, it's just being increasingly discouraged. You don't have to "vibe code" or spend paragraphs trying to talk a chatbot into doing something that you can do yourself with a few lines of code. You'll be fine. It's the people who could have been the next few generations of programmers who will suffer the most.
The second one is from the inside of the observatory (89th floor). Folks with media passes were allowed to get closer so that's the crowd you see pictured. He's climbing in the background.
You can get a sense of his feelings about this how he talks with his wife at the summit afterwards. He says something like "There were lots of people taking pictures and waving. I was chill", indicating he felt he had done well in a situation he had anticipated may have been challenging. THey'd likely discussed this extensively before.
Also, previously through the climb he makes efforts to be deliberate and chooses to interact positively with some of the people. Waving, offering a hand on glass for a high five, making a few jokes at the fans' expense over the headpiece "I offered him a high five. He was too busy on his phone. Kids these days"
My feeling about all this is the presence of many people was something he had rehearsed a lot and decided he was going to stay relaxed and positive about, and that's what he did.
No. Good information can be behind a payed site, and possibly, more investigative. Free sites can sometimes be less verified or partial information. I think the goal would be to have the most accurate link possible, rather than many links that only contain a subset of the information.
Chemo post-histrophy would remove any lingering cancer cells effectively. Cancer cells need lots of fuel or they stop replicating, and this is what traditional chemo is great at stopping.
Is the idea that you would need less chemo after the tumor is broken up to remove any remaining cancer cells versus just starting out with chemo to remove the tumor?
Chemotherapy isn't always successful, and depends on the tumor's characteristics, but the idea is yes, less chemo. Histrophy is similar to resection, physically removing a tumor. I've seen chemo options for both scenarios with resectable cancers. For example, hormonal therapy is usually prescribed after resectable breast cancer, regardless of outcome. Or, chemo first to shrink the tumor, and have better surgical margins.
The keto diet is also very good for this because many (but not all) cancer cells can't metabolize ketones. However recent research from Columbia Medical School suggests that it can promote metastasis.
It's a good thing you edited for politeness because you seemed to be basing your understanding of what I said based on stuff you read on Reddit.
A number of studies show that, in humans, the keto diet (the medical keto diet[1] and not the meat heavy Internet version) causes metabolic stress in breast cancer cells and in several other types of cancer, due to their significantly increased metabolic needs. It's like the difference between a normal human and Michael Phelps during Olympic competition. The cancer cells can process ketones, but not efficiently enough to fuel their activity so they starve.
In humans this eventually results in the death or deactivation of the cancerous cells (deactivation being the primary way that tumors "adapt" to a starvation diet). There have been few, if any, reported cases of metastasis in the types of cancers studied in humans. This outcome is statistically significant enough that multiple cancer treatment centers recommend the medical keto diet to human patients as part of a treatment regime.
As mentioned, the recent study from 2024 shows that this type of metabolic stress can, in mice cause the cancerous cells to metastasize in a last-ditch attempt to survive. However, very little of the cancer research conducted on mice has applications to human cancers. For example, chemotherapy has also been shown to cause metastasis in mice, and a number of earlier studies attempting to replicate the keto research in humans shows that the keto diet in mice increases tumor growth, which is the opposite effect it has in humans.
[1] The medical keto diet is basically just fat and vitamins. No carbs, and minimal to no protein because protein can get converted into glucose by gluconeogenesis. It is not a diet anyone would want to be on longer than strictly necessary. One of my friends had stage 4 metastatic lung cancer, which she discovered during a company-sponsored mud run. Surgery was not an option and chemotherapy was not working. With less than 4 months to live, she went on the medical keto diet and the two-punch combo of keto and chemo put the cancer into remission for almost three years. (Note: She only maintained the diet for a few months after ending chemo treatment. Unfortunately not all of the cancer cells had died, some had merely deactivated. Four years after remission the cancer cells reactivated with a vengeance and she died the day after she started showing symptoms.)
No, not really. If you are just looking to work with the data you want to read about extracting from grib2 format. One of the faster ways off the ground is to use the Pywgrib2_s python package and iterate against the model files using python to extract the fields that are interesting. I have a container on docker hub that has pywgrib compiled with all its dependencies if you want to tinker.
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