henry_pulver

7 ms·

31.
by henry_pulver 3y ago
> Your guide suggested I pay for Twitter before even trying to use it Hey, this isn't _my_ guide. Shared it because I found it interesting. :)
32.
How to Twitter Successfully(near.blog)
1 points by henry_pulver 3y ago|3 comments
33.
CarbonGPT: Ask questions about carbon emissions(usesuperflows.com)
1 points by henry_pulver 3y ago|1 comments
34.
by henry_pulver 3y ago
I made this chatbot which has access to up-to-date emissions data through the Carbon Interface API. Access to accurate emissions data is useful but comparative research often involves sifting through disparate sources. Combining the chatbot
35.
Seven Habits of Bad Interviewers(blog.thoughtspile.tech)
4 points by henry_pulver 3y ago|1 comments
36.
The act of discovery – Jerome Bruner [pdf](digitalauthorshipuri.files.wordpress.com)
1 points by henry_pulver 3y ago|0 comments
37.
“What music do you like?”(ph-uhl.com)
1 points by henry_pulver 3y ago|0 comments
38.
by henry_pulver 3y ago
Pretty sure it's this pyramid where they didn't know the whole hill the pyramid was on top of was actually part of the pyramid until recently I wonder what other natural formations are man-made, but we don't realise it yet
39.
Rewriting Digital Content for Brevity(nngroup.com)
1 points by henry_pulver 3y ago|0 comments
40.
by henry_pulver 3y ago
> How is creativity different than adding some randomness to the answer generating? Deterministic systems are clearly not creative. But randomness is a necessary, but not sufficient, requirement for creativity. Adding random noise to an
41.
by henry_pulver 3y ago
All the positive comments seem fake
42.
by henry_pulver 3y ago
Not right now, but we're working on it! :) Base Llama 2's reliability on our prompt isn't good enough right now so working on fine-tuning it to make sure it outputs the right format - we'll release this at the same time
43.
by henry_pulver 3y ago
Totally get the reliability issues you've seen - getting LLMs to output the right response 80% of the time on these kinds of tasks is not that hard, the last 20% is the real challenge. On trying us out - ping me an email at henry@super
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Show HN: Superflows – open-source AI Copilot for SaaS products(github.com)
37 points by henry_pulver 3y ago|5 comments
45.
Interpretability creationism: Applying Darwin to interpretability ML research(thegradient.pub)
1 points by henry_pulver 3y ago|0 comments
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Show HN: Superflows- Open source toolkit to build AI assistant for SaaS(github.com)
2 points by henry_pulver 3y ago|0 comments
47.
by henry_pulver 3y ago
This is fascinating! I remember reading that most optical illusions don't work on people raised in remote tribes in the Amazon, as their visual perception has been 'fine-tuned' for jungle contours, instead of the straight lin
48.
by henry_pulver 3y ago
Not seen a great explainer on this yet. You'd either need access to the model weights or a fine-tuning API. Then depending on which fine-tuning approach you want to use, the user data you need to collect will be different: RLHF require
49.
Fact-checking is not easy(near.blog)
1 points by henry_pulver 3y ago|0 comments
50.
by henry_pulver 3y ago
Had a question about the "pre-warming" technique you used - why does this help? You say it helps with RAM utilization, but why? Does it just spin up the right number of probes up so the experiments don't include this extra co
51.
The Emotional Timeline of the Enron Corporate Scandal(superflows.ai)
4 points by henry_pulver 4y ago|0 comments
52.
by henry_pulver 4y ago
As a Brit, I'm embarrassed. These politicians are LARPing and haven't learned the most important political lesson of the last 100 years - that restrictions on speech are dangerous.
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Our lives are measured by memorable moments(furidamu.org)
2 points by henry_pulver 4y ago|0 comments
54.
DARPA's Digital Tutor: training people to expert-level in 16 weeks(blog.delta-academy.xyz)
3 points by henry_pulver 4y ago|0 comments
55.
by henry_pulver 4y ago
If a theory is unfalsifiable, it's unscientific. The whole point of theories grounded in science is they allow you to make accurate predictions about the world. What can you make predictions about if the matching hypothesis isn't
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Why the Learning Styles myth spreads(blog.delta-academy.xyz)
32 points by henry_pulver 4y ago|36 comments
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Learn from Zero to AlphaGo with weekly AI-building contests(delta-academy.xyz)
5 points by henry_pulver 4y ago|4 comments
58.
by henry_pulver 4y ago
The course is "Introduction to Reinforcement Learning". We make no claims that you'll be writing papers come the end of 4 weeks! :) Really interesting reading that Norvig's piece. I agree with almost all of it and think
59.
by henry_pulver 4y ago
We've designed it to be very compatible with working full time! We suggest ~10 hours per week, although except for the 30 min live competition each week, all of these hours can be done at times that suit you.
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by henry_pulver 4y ago
If it was just 1 competition, I'd agree with you. It's more a cohort-based online class that's punctuated by competitions (once per week). The competitions serve to motivate you to learn in a fun finale each week, rather than

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