It isn't though, so balancing it with other rules is fine.

Then I fell asleep and when I woke up in the morning, I had a very strong feeling that the issue was definitely the memory and I had to move the ram to the set of slots for the other channel. And that was the issue, broken slots.

What's impressive is not that it worked, but that after waking up I had no doubt that was the problem, even though practically I couldn't conciously identify why I was so confident about it.

If people were really looking for exact title search they could write "term".

It is definitely true that youtube's search is optimized for engagement, but going through a separate ui just to search it seems a bit redundant, especially if after I click search I have ti deal with youtube's UI.

Some part of RL training must focus on the length of responses. I would also guess that Anthropic and OpenAI have an incentive to optimize response length without sacrificing user satisfaction/retention.

For example, I would be more satisfied if claude code didn't execute a side-effect free script that produces no output. Embodying the concept of silence is semantically close to predicting the output of an empty program, so it's more efficient to say nothing.

Even in the past though similar tests gave output like says nothing. I think that points more towards optimizing for less tokens than the implied special understanding by the latest models.

I research how people actually use AI products — then make them better. Cognitive science background (MSc), 3+ years on B2B/SaaS at a major tech company. Led the discovery research that took an AI agent from "what if" to production. Ran seven evaluative studies for gen-AI features now serving 100K+ monthly users. Also did a stint as a business analyst in financial services and led an AI data annotation team at a health-tech startup.

Methods: interviews, usability/concept testing, surveys, JTBD, journey mapping, quant in R/Python. Thesis on cognitive biases in LLMs. Looking for a team that uses research to make decisions, not to validate them.

Role: UX Researcher (mixed-methods / product discovery)

Experience: 3+ years

Email: rvbceilx0@mozmail.com

UX researcher with a background in cognition and communication, 3+ years on data- and AI-driven B2B/ERP products. I run mixed-methods studies (interviews, usability tests, concept tests, surveys, diary studies, JTBD, journey mapping, basic telemetry) and turn messy workflows and stakeholder questions into clear, actionable recommendations for product, design, and engineering. I’m mainly looking for interesting, challenging work with teams that are willing to listen to research; I’m flexible on domain and stage.

Willing to relocate: No

Role: UX Researcher (mixed-methods / product discovery)

Experience: 3+ years

Email: rvbceilx0@mozmail.com

UX researcher with a background in cognition and communication, 3+ years on data- and AI-driven B2B/ERP products. I run mixed-methods studies (interviews, usability tests, concept tests, surveys, diary studies, JTBD, journey mapping, basic telemetry) and turn messy workflows and stakeholder questions into clear, actionable recommendations for product, design, and engineering. I’m mainly looking for interesting, challenging work with teams that are willing to listen to research; I’m flexible on domain and stage.

https://sqlscope.netlify.app/

Remote: Yes (Europe timezones)

Willing to relocate: No

Role: UX Researcher (mixed-methods / product discovery)

Experience: 3+ years

Email: rvbceilx0@mozmail.com

UX researcher with a background in cognition and communication, 3+ years on data- and AI-driven B2B/ERP products. I run mixed-methods studies (interviews, usability tests, concept tests, surveys, diary studies, JTBD, journey mapping, basic telemetry) and turn messy workflows and stakeholder questions into clear, actionable recommendations for product, design, and engineering. I’m mainly looking for interesting, challenging work with teams that are willing to listen to research; I’m flexible on domain and stage.

From my experience studying electrical and computer engineering, I definitely prefer that they chose to put hard electrical engineering courses in the first semesters because I knew immediately not to focus on them because I didn't like them.

There needs to be a reward for doing essays. That reward can be emotional eg. "the teacher I respect liked my essay" or "my essay was read in class" or "the teacher gives feedback that makes me feel a sense of growth". In that case, maybe kids will do it.

However, I think it's hard for a teacher to inspire respect to a classroom and the difficulty scales with the number of people in the class, so grades are used as a hack.

Nevertheless the idea of giving money is still good imo, because it also incentivizes the fraud detection becoming more efficient, since mistakes now cost more. Unfortunately I have a feeling people might game that to get more money by triggering false investigations.