caprock

16 ms·

181.
by caprock 3y ago
This sounds a lot like the chunking concept from learning theory.
182.
by caprock 3y ago
You don't learn it, you practice it. Just start trying, failing, and trying again. You'll build endurance over time. It's counter intuitive, but the mind and body get better the more you work, exhaust, and challenge them. Goo
183.
Ask HN: What's the best CLI installation experience you've ever seen?
16 points by caprock 3y ago|55 comments
184.
by caprock 3y ago
PBS Frontline episodes are interesting, and available on YouTube.
185.
Variance Between Runs of Neural Network Training Is Harmless and Inevitable(arxiv.org)
1 points by caprock 3y ago|0 comments
186.
US begins study of possible rules to regulate AI like ChatGPT(reuters.com)
2 points by caprock 3y ago|0 comments
187.
Musk says Twitter is roughly breaking even, has 1,500 employees(reuters.com)
6 points by caprock 3y ago|0 comments
188.
The future of AI depends on Modularity(modular.com)
3 points by caprock 3y ago|0 comments
189.
Lightweight Python library to connect to large language models(github.com)
2 points by caprock 3y ago|0 comments
190.
Reflexion: An autonomous agent with dynamic memory and self-reflection(arxiv.org)
2 points by caprock 4y ago|0 comments
191.
Sources of Richness and Ineffability for Phenomenally Conscious States(arxiv.org)
1 points by caprock 4y ago|0 comments
192.
MathPrompter: Mathematical Reasoning Using Large Language Models(arxiv.org)
1 points by caprock 4y ago|0 comments
193.
by caprock 4y ago
Reuters is a decent replacement. Regular news, less slant, and minimal editorials. https://www.reuters.com/
194.
QBism, the Perimeter of Quantum Bayesianism(arxiv.org)
1 points by caprock 4y ago|0 comments
195.
by caprock 4y ago
The corresponding paper: MTEB: Massive Text Embedding Benchmark https://arxiv.org/abs/2210.07316 And the repo: https://github.com/embeddings-benchmark/mteb
196.
Text Embedding Benchmark (MTEB) Leaderboard(huggingface.co)
1 points by caprock 4y ago|1 comments
197.
Text Embeddings by Weakly-Supervised Contrastive Pre-Training(arxiv.org)
2 points by caprock 4y ago|0 comments
198.
Pretraining Language Models with Human Preferences(arxiv.org)
3 points by caprock 4y ago|0 comments
199.
Symbolic Discovery of Optimization Algorithms(arxiv.org)
111 points by caprock 4y ago|31 comments
200.
What is a mathematical structure of conscious experience?(arxiv.org)
143 points by caprock 4y ago|174 comments
201.
by caprock 4y ago
You might want to look into what the creator of htmx has to say about this topic. He's here on hn and may even show up for this thread. Here are the essays: * https://htmx.org/essays/
202.
Possible naked-eye comet wil visit Earth for first time since Neanderthals(space.com)
1 points by caprock 4y ago|0 comments
203.
EverymanBio: An Indie Biotech Initiative(everymanbio.com)
1 points by caprock 4y ago|0 comments
204.
by caprock 4y ago
The link to the feature: https://you.com/search?q=what+was+the+recent+breakthrough+in...
205.
Richard Socher: Today, youChat goes live(twitter.com)
5 points by caprock 4y ago|3 comments
206.
Can large language models reason about medical questions?(arxiv.org)
2 points by caprock 4y ago|1 comments
207.
SayCan: Grounding Language in Robotic Affordances(say-can.github.io)
1 points by caprock 4y ago|0 comments
208.
Biological Systems as Evolved, Overloaded, Multi-Scale Machines(arxiv.org)
4 points by caprock 4y ago|0 comments
209.
by caprock 4y ago
I believe so, yeah. The dates are derived from a grouping query run directly on my local copy of the hacker news data. It's synced from the official api via firebase, not the algolia api. As best I can tell, the api stores all the
210.
by caprock 4y ago
This is tweets-as-news, and of course is not news but instead just thin, speculative commentary. It could just as easily have been written about Lex Fridman's similar, and probably more serious, response to the new ceo tweets. A more

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