I would think it's because of the staggering money they're making. According to Fortune[0]:
> Altman said on an episode of Uncapped that Meta had been making “giant offers to a lot of people on our team,” some totaling “$100 million signing bonuses and more than that [in] compensation per year.”
> Deedy Das, a VC at Menlo Ventures, previously told Fortune that he has heard from several people the Meta CEO has tried to recruit. “Zuck had phone calls with potential hires trying to convince them to join with a $2M/yr floor.”
If you're making a minimum of $2M/year or even 50x that, you can afford to live according to your values instead of checking them at the door.
I see you're treating Sam Altman as some kind of trustworthy source. Might it be possible that he's making that up -- of course, nobody will ever call him on it! -- and exaggerating the numbers to make his company and team look really good and ethical for not accepting such lucrative offers, or perhaps to make them sour on Meta for not receiving $100M offers?
I once read something about the prevalence of depression in people with tinnitus. I was surprised by it, but I didn't really consider how disruptive it must be when you're accustomed to not having it. By contrast, I've had it basically my whole life. I remember laying awake at night, listening to the deafening ringing, thinking about how weird it was that silence isn't silent. It wasn't until later that I knew my experience isn't the norm.
I'd love to have a treatment or cure. Especially for folks like you that truly suffer from it.
Blindness isn’t “no sight” or pitch black, there’s visual snow.
If you pay attention, you can always feel your muscles/joints. Sometimes I smell burnt popcorn, but not usually, but maybe that’s because smell is always present. Similarly always taste saliva.
Also see sensory deprivation experiments. We don’t seem able to experience “absence of sensation”.
This is not analogous to tinnitus. I remember before and after tinnitus, and it’s as different from visual snow as real snow is from an ice pick in your ear.
> The Oxford researchers proposed that the large spontaneous waves of brain activity that occur during deep sleep, or non-rapid eye movement sleep (non-REM), might suppress the brain activity that leads to tinnitus.
In addition to uBlock Origin I'm also using AdGuard as my home WiFi DNS server and I'm seeing zero ads and no cookie notices in the linked article. For cookies I'm using uBlock Origin's Filter lists which are available in the extension settings.
> over 100 years there have been vast improvements in efficiency in ICEVs. In EVs, the curve is mostly flat.
This may be true, but my family's "daily" ICE vehicle costs us about $0.162/mile to run; our actual daily EV costs about $0.028/mile -- almost one sixth as much. It doesn't matter how much more improvements ICE vehicles achieve, they're not going to catch up to the "mostly flat" EV curve.
> Ban phones from class. For real. Lock down websites that are irrelevant to the subjects being taught. These are all technically possible with the tools schools have. Even Youtube. If something is important enough to show the class, the teacher can show it on their larger screen.
My kids have had Chromebooks for years at school, and their schools have had the devices pretty much fully unlocked. My eldest, who has struggled with ADHD and other mental health issues, was spending his entire day on YouTube and Discord. Accordingly, his grades were terrible. The school's IT said they don't lock it down because, more or less, "by this age, kids should be mature enough to make appropriate decisions about how to use technology." But they did concede that my son should have his account locked down.
Why on earth schools don't start from the perspective of whitelisting YouTube videos/channels, websites, etc., instead of allowing a wholly open web is mind-boggling to me.
I fully endorse making schools entirely phone-free. Get rid of Chromebooks altogether.
I'll grant that he has achieved success via some amount of cunning (often via threats), but "smart" is decidedly not a term I would ever apply to him, and I'm not sure how anyone could reasonably think this given the myriad facts otherwise.
That was probably about what I got when I migrated some heavy number crunching code from Pandas to Polars a few years ago. Maybe even better than that.
Not GP, but as a data engineer who has worked with data scientists for 20 years, I think the assessment is unfortunately true.
I used to work on teams where DS would put a ton of time into building quality models, gating production with defensible metrics. Now, my DS counterparts are writing prompts and calling it a day. I'm not at all convinced that the results are better, but I guess if you don't spend time (=money) on the work, it's hard to argue with the ROI?
> They’re not creating pull requests and maintaining learning / analytics systems?
Sure, they check prompts into git. And there are a few notebooks that have been written and deployed, but most of that is collecting data and handing it off to ChatGPT. No, they're not maintaining learning/analytics systems. My team builds our data processing pipelines, and we support everything in production.
> This kind of vagueposting gets on my nerves.
What is vague about my comment?
Whereas in the past, the DS teams I worked with would do feature engineering and rigorous evaluation of models with retraining based on different criteria, now I'm seeing that teams are being lazy and saying, "We'll let the LLM do things. It can handle unstructured data, and we can give it new data without additional work on our part." Hence, they're simply writing a prompt and not doing much more.
I have never heard of this. What kind of insights are being generated? What kind of data? Am I unaware that we’re at the point that I can give a CSV of e.g. industrial measurement data to an LLM and it provides reliable and repeatable output? Are people making decisions based on the LLM output? Do the people making those decisions based on that output know that it might be completely hallucinated and the only response they’ll get from the “Data Scientists” is a shoulder shrug?
So many questions. That’s why I called it vague. I don’t know how any data scientist could read this and not have a million follow up questions. Is this offline learning? Online learning? What are the guardrails? Are there guardrails? Mostly, wtf?
I presume that radiation is why the Ukrainian brought it up.
The article did mention using it for treating water, but it's not very good at that, and it tastes awful. Reverse osmosis works much, much better and it doesn't need to be a large permanently installed system; portable gravity-fed versions readily available.
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