Behaviour modification yes, but that is “stop talking so critically”. Or “don’t be so harsh” or “give this person special treatment”. WHEN to do that might be key here—perhaps the colleague’s husband has cancer, or their child missed school 3 days this week with the flu, or their project wasn’t productionalized/their new to the role/etc—and so a blanket “don’t talk so harshly” isn’t called for—instead what is really desired is social calibration.

But instead it seems everyone is getting caught up on the literal interpretation of this figure of speech instead.

  On many occasions, I have been told to “be more empathetic.”

  When I ask why, I typically get this reaction:  

  This is a ridiculous question. I am not going to answer it because it is so ridiculous.

  Empathy is the right thing to do! You should feel bad for that person. We’re humans, after all.

  These explanations never really helped.

Even after reading this, I am not sure the author really gets what is behind the request.

You might be surprised how few Americans can ‘laugh off’ even a one-time payment increase of $2,300–let alone a monthly recurring one.

I would go on to say that thisminteraction between ‘holes’ exposed by LLM expectations _and_ demonstrated museerbase interest _and_ expert input (by the devs’ decision to implement changes) is an ideal outcome that would not have occurred if each of the pieces were not in place to facilitate these interactions, and there’s probably something here to learn from and expand on in the age of LLMs altering user experiences.

If the point of the interview were "answer those questions AND know enough to answer the follow up questions" _once told what to expect and prep_, they’d be sharing those questions with all candidates. If you feel that saying to the interviewers "by the way, I did know this because [X] told me they’d be here" wouldn’t impact outcomes, then great. If you feel you’d need to hide that, then you’re aware this involves dishonesty - and if you still struggle to see how that’s unethical, lets just make sure we never need to work together.

In my book that is unambiguously unethical and should get the contact fired. I am shocked to see this approach promoted in such a blasé manner.

1. For tasks like autocomplete, keyword routing, or voice transcription, what would the latency and power savings look like on an ASIC vs. even a megakernel GPU setup? Would that justify a fixed-function approach in edge devices or embedded systems?

2. ASICs obviously kill retraining, but could we envision a hybrid setup where a base model is hardwired and a small, soft, learnable module (e.g., LoRA-style residual layers) runs on a general-purpose co-processor?

3. Would the transformer’s fixed topology lend itself to spatial reuse in ASIC design, or is the model’s size (e.g. GPT-3-class) still prohibitive without aggressive weight pruning or quantization?

This substack discusses tactics of digital non-cooperation, collective phone fasting, encryption normalization, and why archiving freely available LLMs locally might serve as “moral backup” against authoritarian rewrites of history.

Comments URL: https://news.ycombinator.com/item?id=43504943

Points: 2

# Comments: 1

Any suggestions on where in the world will remain relatively stable?