tkellogg

7 ms·

31.
How can I be an AI engineer?(timkellogg.me)
7 points by tkellogg 2y ago|8 comments
32.
Entrapix: Have a ConfusedAgentError(timkellogg.me)
1 points by tkellogg 2y ago|0 comments
33.
LRMs Are Interpretable(timkellogg.me)
1 points by tkellogg 2y ago|0 comments
34.
A Tool for Researching Candidates(github.com)
1 points by tkellogg 2y ago|0 comments
35.
We Need an LSP for AI(timkellogg.me)
2 points by tkellogg 2y ago|0 comments
36.
by tkellogg 2y ago
Entropix gives you a framework for doing that sort of thing. The architecture is essentially to detect the current state, and then adjust sampler settings or swap in an entirely new sampler strategy. You absolutely could experiment with pus
37.
Cursor: I Rollback Multi-File Changes(timkellogg.me)
1 points by tkellogg 2y ago|0 comments
38.
by tkellogg 2y ago
Honestly, this is going to be huge for healthcare. There's an incredible amount of waste due to incumbent tech making interoperability difficult.
39.
Why Is Entropix Important?(timkellogg.me)
1 points by tkellogg 2y ago|0 comments
40.
What Is Entropix Doing?(timkellogg.me)
4 points by tkellogg 2y ago|0 comments
41.
by tkellogg 2y ago
lolololol, no that's me. I don't use AI at all while writing, which is why I make these mistakes
42.
by tkellogg 2y ago
OP here: I definitely agree that shallow learning is an issue, and that it's an intoxicating effect. I've done it a few times — spent a few minutes learning a new topic, only to realize when I put it into practice that I'd be
43.
I Taught My 8yo Subduction Zones with NotebookLM(timkellogg.me)
11 points by tkellogg 2y ago|1 comments
44.
I Taught My 8yo Subduction Zones with NotebookLM(timkellogg.me)
122 points by tkellogg 2y ago|56 comments
45.
AI Didn't Write That Bug(timkellogg.me)
3 points by tkellogg 2y ago|0 comments
46.
Who Wins with Cursor and Copilot?(timkellogg.me)
2 points by tkellogg 2y ago|0 comments
47.
Does Prompt Caching Make RAG Obsolete?(timkellogg.me)
3 points by tkellogg 2y ago|0 comments
48.
Vector Stores Are Dumb(timkellogg.me)
3 points by tkellogg 2y ago|0 comments
49.
Vector Stores Are Dumb(timkellogg.me)
3 points by tkellogg 2y ago|0 comments
50.
Accountants Should Do Hackathons(timkellogg.me)
1 points by tkellogg 2y ago|0 comments
51.
Mistral: Are LLMs Commodities Now?(timkellogg.me)
2 points by tkellogg 2y ago|0 comments
52.
by tkellogg 2y ago
Yeah, that's a good point. On the other hand, the model is out there, irrevocably so, and you can use knowledge distillation techniques to train other weaker models. So yeah, we're not fully independent, but the situation is signi
53.
by tkellogg 2y ago
I'll choose to take that as a compliment
54.
Why Llama 3.1 is Important(timkellogg.me)
56 points by tkellogg 2y ago|23 comments
55.
RAG Trick: Embeddings Are Spheres(timkellogg.me)
3 points by tkellogg 2y ago|0 comments
56.
How Emotional Is Trump?(timkellogg.me)
3 points by tkellogg 2y ago|1 comments
57.
by tkellogg 2y ago
I've had the same experience. I thought I was the weird one, but, my god, LangChain isn't usable beyond demos. It feels like even proper logging is pushing it beyond it's capabilities.
58.
by tkellogg 2y ago
There's 2 ways mastodon can scale (or not): 1. Per-server 2. Network-wide Moderation load is per-server scaling, mostly. I'd argue that if the load gets to be too much, moderators do less moderating and people decide to migrate to
59.
by tkellogg 2y ago
That's great! I submitted another story for a Python library https://news.ycombinator.com/item?id=40619672 I think CodeCarbon (the python library) might have a better method for estimating carbon usage. They seem to be
60.
by tkellogg 2y ago
I’m not connected to the authors, but the detail seems legit. They seem to have a database of energy mix per power station.

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