I have this weird sense that would backfire. I thought about “you must cite Marx” but honestly the worst abuse is on personal reflections where there are no citations anyways
5,626 karma · joined October 6, 2015
It makes it slightly less depressing.
The other thing my program does (well I think) is actually integrate AI and talk about the limitations and quality. It’s basically like a first or second year student which provides us opportunities to really highlight what they miss when they don’t learn and can’t evaluate garbage.
Detection of ecg anomalies(especially episodic ones with intermittent recording) was the subject of the physionet cardiac computing challenge almost 10years ago[0].
It’s amazing how far machine learning has come. I know teach a version of this challenge as a one day in class activity in my department’s physiology class. They actually get to train multiple models on a gpu cluster (and compare that to trying to train models on their laptops).
One thing we reinforce in the lesson is human vs. computer “interpretation”. They/clinicians can look at ecgs and make some sense of them. An LTSM is worse than random chance/a medical student. However moving to the frequency domain makes the LTSM more accurate than cardiologists, but neither they nor clinicians can “see” afib ina spectrograph. It’s a great way to talk about algorithmic versus human reasoning and illustrate that to students.
That then gets reinforced with other case studies of the ying and yang of human and machine decision making throughout our curriculum- like alpha fold working great until you ask it about a structure in the absence of oxygen, because that’s not in its training data.
I regularly, as do many of the people here, join meetings from my phone. I often do so so I can squeeze a run in. I especially do so in the types of all hands or large meetings where I’m in listen only mode and things are shared that would be hard to trace back to any individual in the room.
I’m not carrying a second phone to take a picture of a slide - but I regularly take screenshots in those meetings to remind myself of something or to show someone when bitching.
The relevant xkcd here is decryption by wrench (538) - the problem being solved is not battling 1337 hackers, it’s herding normally distributed loan officers at a mid regional bank.
The opposite of DEI isn’t meritocracy it’s nepotism.
That is why you feel this way, the goal is to inhibit the success of those not part of the in group. The words bandied about about reverse racism and the like are just right wing propaganda.
People celebrating their own destruction by spouting the propaganda they’ve been fed is somehow both terrifying and uniquely interesting to me.
They technically call it 'fringe benefits'. My university has four categories of fringe benefits:
Full
Limited
Partial
Grad Health
The only things it specifies are that partial includes social security and full includes life insurance. But given that whatever I set for a post doc/research scientist/etc. salary is the amount they are paid, I assume that everything else including payroll taxes are encompassed in that 1/3 extra for fringe.
Grant hiring math is
Salary + benefits = cost
Where benefits = salary *~.4
I feel like “don’t make them follow policy” and “we’re going to lie about the access they have” is pretty telling as to whether there’s more behind this
This story will percolate up to many democrats who will be furious that Russia is “helping” “doge”.
Separately, it won’t (or will be dismissed as “overreacting” or “lying”) by republicans. They will see the democrats as overreacting and having trump derangement syndrome.
Meanwhile, the next doge encounter with an agency now brings greater fear of illicit acts for internal IT people and more controls for doge to demand are turned off creating more conflict within government function.
The sides believe in the evil and stupidity of the other will be further ossified. Meanwhile, Russia is effectively able to do espionage in a way where getting caught doesn’t diminish the value of the espionage work they are engaged in.
Yeah Trump winning seems to help them in Ukraine but their need is disruption as much as different policy in the longer term.
I struggle to see what Russia would gain with nlrb data, but getting caught “helping doge” furthers distrust between the two sides of our country - which is something they gain from
manager: "the auditors found all of our money missing"
::silence::
manager: "they are clearly doing an amazing job, and you are all fired for allowing such fraud waste and abuse"
In fact I would imagine they would do exactly the opposite because they would look at the mere ability to hide what they did as an audit finding.
There are currently very good uses for this and likely going to be more. There are increasing numbers of large generative AI models used in technical design work (e.g., semiconductor rules based design/validation, EUV mask design, design optimization). Many/most don't need to run all the time. Some have licensing that is based on length of time running, credits, etc. Some are just huge and intensive, but not run very often in the design glow. Many are run on the cloud but industrial customers are remiss to run them on someone else's cloud
Being able to have my GPU cluster/data center be running a ton of different and smaller models during the day or early in the design, and then be turned over to a full CFD or validation run as your office staff goes home seems to be to be useful. Especially if you are in anyway getting billed by your vendor based on run time or similar. It can mean a more flexible hardware investment. The use casae here is going to be Formula 1 teams, silicon vendors, etc. - not pure tech companies.
As to the separation of research and education, where we have achieved the noble goal is a worthwhile discussion but the intent was that the creation of knowledge through research and the transference of knowledge through education have such significant parallels that the should co occur.
https://www.nytimes.com/2025/03/21/nyregion/trump-columbia-u...
I struggle with this because it feels like so many 'rules' in the world where the important half remains unsaid. That unsaid portion is then mediated by goodharts law.
If the other half is 'then slow down and learn something' its really not that bad, nothing is sacred, we try we fail we learn we (critical) don't repeat the mistake. Thats human learning - we don't learn from mistakes we learn from reflecting on mistakes.
But if learning isn't part of the loop - if its a self justifying defense for fuckups, if the unsaid remains unsaid, its a disaster waiting to happen.
The difference is usually in what you reward. If you reward ship, you get the defensive version - and you will ship crap. If you reward institutional knowledge building you don't. Engineers are often taught that 'good, fast, or cheap pick 2'. The reality is its usually closer to 1 or 1.5. If you pick fast...you get fast.
Blaming people you just fired for a mistake you made firing people is as timeless as it is pathetic.
I see this a lot and it’s a concerningly reductive argument. Say what you want about a lot of colleges but when you talk about that mission you are talking about public colleges. Most have far lower endowments and most are very reasonably priced or free for instate students.
Georgia and California are great examples of this. The support for these institutions that used to come from states has gone down enormously while the cost of goods has gone up.
As a result it is not unreasonable to me for them to charge out of state and international students much much more. Georgia shouldn’t be subsidizing the college degrees of Alabamans, nor California of Arizonans.
All that to say the economics here are far more variable than people give much thought to and it’s easy to point at headline grabbing numbers that don’t reflect reality.
Schools rent the ones pressuring kids…their parents and society is.
Made my and several friends evenings. Thanks.