qwerty3344

8 ms·

1.
by qwerty3344 3y ago
Godot is also getting really good
2.
by qwerty3344 3y ago
what's lacking about Godot C# support?
3.
by qwerty3344 3y ago
fwiw Google did the same trick with their servers
4.
by qwerty3344 3y ago
monte carlo or some kind of ant colony simulation probably
5.
by qwerty3344 3y ago
https://newatlas.com/technology/gpt-4-reflexion/
6.
by qwerty3344 3y ago
I think it's still significantly behind GPT 3.5/4, both of which can get 67% on HumanEval, and 88% with Reflexion
7.
by qwerty3344 3y ago
OOOH I've got one - I made a short script that lets me play any video on any site at arbitrary speed (speed controlled by arrow keys). //@ts-check window.kVideoSpeed = 1; window.initialVolume = 1; NUMPAD_3 = "99" NU
8.
by qwerty3344 3y ago
Yep this is what most data structures and algo questions optimize for.
9.
by qwerty3344 3y ago
> last updated 2023-03-19 Yep, anything that old is ancient in the AI world
10.
by qwerty3344 3y ago
This isn't true, many open source companies make money in ways that don't diminish the core open source product, Kafka/ElasticSearch/MongoDB/Supabase/Vercel/Grafana/Red Hat/etc
11.
by qwerty3344 3y ago
Can someone explain how LangChain compares to Llama Index [1]? [1] https://github.com/jerryjliu/llama_index
12.
by qwerty3344 3y ago
additionally it gets a lot better via iteration, eg. feeding it back any error messages and asking it to try again.
13.
by qwerty3344 3y ago
> it's not got a single coding question I've asked it right Have you used common prompting techniques like CoT and self-reflection?
14.
by qwerty3344 3y ago
just use the API which has no limit
15.
by qwerty3344 3y ago
using chatGPT to summarize: This section summarizes the issue with the ChatGPT service which caused some users to be able to see another user's chat history and payment information. OpenAI took the ChatGPT service offline and published
16.
by qwerty3344 3y ago
Would love to see a side by side comparison of the completions from this with completions from Copilot
17.
by qwerty3344 4y ago
There is huge variation in how well people can prompt LLMs, prompt-engineering has many tricks that aren't obvious, that's why there's prompt engineers,
18.
by qwerty3344 4y ago
There are entire sectors of the economy that LLMs can't touch - hospitality, manufacturing, caregivers, religious sectors, live-action entertainment, etc. Sure some of these will be replaced by robots but there will always be new jobs
19.
by qwerty3344 4y ago
gaming wise seems the same as Ryzen 5 7600X which is <1/2 the cost?
20.
by qwerty3344 4y ago
would humans not make the same mistake?
21.
by qwerty3344 4y ago
What are the cons of 0xFast vs Alchemy?
22.
by qwerty3344 4y ago
what are the other core modules near the top?
23.
GitHub pull requests and issues filtering is broken
3 points by qwerty3344 4y ago|0 comments
24.
by qwerty3344 4y ago
In the simulation you can see very common helper deps do receive quite a disproportionate amount of funding relative to the effort to maintain though. For example, `rimraf` (~400 LOC), `del` (~100 LOC), `cross-env` (this one is archived) al
25.
by qwerty3344 4y ago
https://news.ycombinator.com/item?id=32841229 touched on this also, auto allocation would lead to disproportionate allocation for basic helper deps
26.
by qwerty3344 4y ago
> to clearly see how the charities use the funds https://www.charitynavigator.org/ is a start
27.
by qwerty3344 4y ago
doesn't include equity though which is usually a large chunk of comp
28.
by qwerty3344 4y ago
rope - https://en.wikipedia.org/wiki/Rope_%28data_structure%29 skip list - https://en.wikipedia.org/wiki/Skip_list
29.
by qwerty3344 4y ago
I think it'd be nice to have a way to sort/filter by locations and also by salaries
30.
by qwerty3344 4y ago
Not really surprising given the state of crypto in general.

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