i_dont_know_

6 ms·

1.
Meditation isn't just one thing(nimishg.substack.com)
2 points by i_dont_know_ 28d ago|1 comments
2.
by i_dont_know_ 28d ago
Until recently I didn't realize meditation practices were as varied as they are, and I think part of that is when we hear about things like "the benefits of meditation" or "scientists studying meditation", it's
3.
by i_dont_know_ 9mo ago
Assuming a model is person-like, it gets even harder when we ask "who" the model is. Is it this particular model from today? What if it's a minor release version change, is it a new entity, or is it only a new entity on major
4.
We need to talk about Claude's 'soul' document(nimishg.substack.com)
6 points by i_dont_know_ 9mo ago|8 comments
5.
by i_dont_know_ 9mo ago
I wanted to talk about Anthropic's "soul" document they include in Claude's prompt, some of the issues it might be causing, and point out what we're seeing now as we're seeing it probably isn't artificial
6.
by i_dont_know_ 11mo ago
I'm actually quite surprized. From another article today, I discovered the IRS has a github repo with (what seems to be) XML versions of tax questions... surely some combination of LLM and structured data querying could solve this? ht
7.
by i_dont_know_ 1y ago
I feel like these kind of things push us as a society to decide what exactly the purpose of school should be. Currently, it's been a place for acquiring skills but also a sorting mechanism for us to know who the "best" are...
8.
by i_dont_know_ 1y ago
Thanks, the goal wasn't to get a full overview of the commercial space but really to understand more of the fundamentals of building, the limits and use-cases of agents in general. Specifically I see a huge push to "build agents&q
9.
AI Agents: Why the Hype Feels Wrong to an Old Programmer(nimishg.substack.com)
2 points by i_dont_know_ 1y ago|3 comments
10.
by i_dont_know_ 1y ago
I wanted to dig into the hype around agents and figure out both the use-cases and quirks, so I wrote this little 'review'. I think, like most of the 'AI' sphere right now, they're overhyped but I think it's goo
11.
by i_dont_know_ 1y ago
I clicked - it's for a self-improvement week. I read through and I think it's an interesting initiative (lots of good stuff around holding self and others accountable, positive reinforcement etc) but the title really makes it soun
12.
by i_dont_know_ 1y ago
Really good point on open source and the nudges it provides, and definitely a point that isn't made often enough!
13.
by i_dont_know_ 1y ago
Thanks for the perspective. For me I think it's a matter of degree (I guess I was a bit "one or the other" when I wrote it). These things are also concerns and definitely shouldn't be dismissed entirely (especially thing
14.
by i_dont_know_ 1y ago
True... I was trying to define them the way (I think) companies are defining them (like what their alignment teams are looking at) and the way it's reported. I think in these specific contexts they're used with overlap but yeah I
15.
by i_dont_know_ 1y ago
Thanks! Yeah, there's a lot of "well, it's 'standard practice' now so it can't be wrong" going on in so many different ways here too...
16.
AI Ethics is being narrowed on purpose, like privacy was(nimishg.substack.com)
175 points by i_dont_know_ 1y ago|127 comments
17.
by i_dont_know_ 1y ago
I keep seeing "AI ethics" being redefined to focus on fictional problems instead of real-world ones, so I wrote a little post on it.
18.
Intuitive explanation of LLM Transformers without math(youtube.com)
1 points by i_dont_know_ 1y ago|1 comments
19.
by i_dont_know_ 1y ago
I tried to create an "intuitive" explanation of LLMs without going into the math but still removing a little of the "black box" sense people get around them...
20.
Everyone knows what a horse is: What we got wrong about universal translators(nimishg.substack.com)
2 points by i_dont_know_ 1y ago|0 comments
21.
by i_dont_know_ 1y ago
I think there's something about the way this is written that's endemic to our time -- it basically feels right because it gives a possible explanation of current events that has some internal consistency. It doesn't mean it&#
22.
by i_dont_know_ 1y ago
I feel like politics will be automated eventually. We have voters who express intents, then we have politicians who are (in theory) hired to best represent and interpret those intents. But there's only 1 signal (election/not-elect
23.
by i_dont_know_ 2y ago
"In the first year" is a good and well-needed qualifier for such analysis. Oftentimes we fall into the trap of defining a business success as "forever", anything short of that is deemed a failure. I think such views make
24.
by i_dont_know_ 2y ago
I am the right fool... A random internet link said "can we read all your email" an I clicked 'yes'. Welp. Time to do some major soul-searching and digital triage.
25.
by i_dont_know_ 3y ago
I don't know if this is a myth that ought to be perpetuated. The skilled CEOs I know are all exceptionally well-attuned to the problem space that their product solves, and their own company's place in that space (usually including
26.
by i_dont_know_ 3y ago
To me, it feels like it's started giving superficial responses and encouraging follow-up elsewhere -- I wouldn't be surprized if its prompt has changed to something to that effect. Before, if I had an issue with a library or debug
27.
by i_dont_know_ 4y ago
A huge difference between ChatGPT and crypto, though is that the latter literally offers to print money. The former, what, lets you make low-quality internet content a little more easily? It's harder to share the long-term 'get-ri
28.
by i_dont_know_ 4y ago
I think what I'm getting at is that there are different types of 'pain', some that we'd consider ethical and some that we wouldn't. Constantly subjecting a person (or some abstract simulation that responds like a pe
29.
by i_dont_know_ 4y ago
K, I'll play. Let's say that Reinforcement Learners (algorithms/strategies/agents in Reinforcement Learning), let's say that they have some property of 'consciousness' that's similar to humans. A &#x2
30.
by i_dont_know_ 4y ago
This too. I've seen consultants hired for projects where everyone on the team (including leadership) basically knew what to do or what needed to be done, but they were only, say 75% certain about it. In a normal startup, they would&#x2

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