@vjhofmann Very interesting. You don't seem to mention that the L1-L2 pairs are embedded in a prompt which is also in some language, in your case SAE. How would an LLM respond to an instruction in say Mexican Spanish which compared SAE and AAE quotes?
Four life lessons I learned while studying statistics:
1. False positives vs false negatives: Fewer false positives often come at the cost of more false negatives and vice versa.
LIFE LESSON: The less stringent your criteria, the more crap you need to deal with, but the more stringent your criteria, the more genuinely good stuff you miss out on.
Missed opportunities is the price of never wasting your time. Wasting your time is the price of never missing an opportunity.
2. Overfitting vs Underfitting: Less flexible models can't fit the data. More flexible models are prone to picking up patterns that don't generalize.
LIFE LESSON: Over-thinking makes you more vulnerable to seeing patterns that aren't there. It turns you into a misinformation machine.
3. Bias vs Variance: More complex models give less consistent answers. Less complex models give more biased answers.
LIFE LESSON: There is a natural trade-off between nuanced thought and consensus.
People get mad when experts disagree especially when non-experts don't but that's actually what you would expect.
4. Curse of Dimensionality: Given a fixed amount of scenarios to learn from, there's a point beyond which considering additional factors stops helping.
LIFE LESSON: If you haven't experienced much, keep things simple. Nuance without experience is actively harmful.
SUMMARY:
The common theme I see is these are cautionary tales for over-thinkers like me. There are hard mathematical limitations on what we can possibly know as rational beings.
There is wisdom in knowing when to think but there's also wisdom in knowing when to stop.
Win a ยฃ500 prize, free subscriptions & free support -- for all #PhD and #Master students using #causalmapping in your research!
Deadline extended to 10 December.
Free subscriptions = first-come-first-served. https://t.co/uI4DzLO9iq
Here's the Institute of Economic Affairs (@iealondon) - the dark-money lobby group that mentored Liz Truss - crowing about the mini-budget on September 23rd.
And ... ๐งต
Another award! We feel really honoured to have been selected for this yearโs @SAGE_Publishing Concept Grant for the Causal Map app ๐คธโโ๏ธ
Read more here ๐
https://t.co/53HpbhRt0u
It has been a busy summer with lots of updates on the app ๐
Our latest blog discusses one of our favourite updates; smart-zooming which allows you even more options when presenting findings!
๐https://t.co/BxV0sNzGpH๐
Last Autumn @LynchPinSupport evaluated a professional development program using StorySurvey, in our most recent blog she shares why this was the right fit for the study and her experience using it
๐ https://t.co/mwznnvhLuB ๐
@LukeCraven Trick question?
Systems change is the kind of change which you get in systems?
Sounds like we have a usage in which "change" means only or merely other kinds of change?
Interested in causal mapping and how we use it with causal mechanisms #QuIP#qual data? Join me and @CausalMap@stevepowell99 tomorrow at 13.45 in room Galoppen 10 at 'Theory and Outcomes Orientated Evaluation' session #EES2022