>ever stricter rules that cause tickets despite technology getting better.
That sort of stuff might work on a bunch of peasants since you can screw them individually for small enough amounts it doesn't meet the threshold for political pushback but it won't fly against a few megacorps who do self driving fleets.
My experience was with building a new computer. I had gotten all of the parts needed to completely upgrade my pc, keeping only the case.After installing all of them, the computer refused to boot and just showed a generic error with a blinking light. I tried multiple things to troubleshoot like taking out each ram stick, different hdd, reseating cables, different hdd, change to internal gpu, nothing worked.
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.
Maybe this is an unpopular opinion, but this seems to just create the search string in the url, aka youtube search already supports these features.
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.
This result sounds very unsurprising at this point of having models that can reliably use tools.
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.
Location: Copenhagen, Denmark (UTC+1)
Remote: Yes (Europe timezones) Willing to relocate: No
Role: UX Researcher
Experience: 3+ years
Email: rvbceilx0@mozmail.com
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.
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.
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.
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