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dvrp
searching PlanetScale…
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211.
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Transformer Circuits: reverse-engineering transformers into graspable programs
(transformer-circuits.pub)
1 points
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dvrp
1y ago
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0 comments
212.
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dvrp
1y ago
Because Worse Is Better!
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dvrp
1y ago
That's awesome; making the world a better place one title diff at a time haha.
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dvrp
1y ago
...and Wozniak.
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dvrp
1y ago
Congratulations man, it makes me so happy to read this and I can relate to that dopamine rollercoaster phenomenon you are talking about.
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dvrp
1y ago
Could not access your Google Doc.
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dvrp
1y ago
San Francisco, CA; Full-time & Onsite; Member of technical staff. I'm the cofounder of Krea ( https://www.krea.ai/ ), a startup in San Francisco building browser-based creative tools and AI systems focused on persona
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dvrp
1y ago
I built this with simple text-based memory archive too. What you said is simply adding git to the equation. I tried many approaches and, to my surprise, Markdown + Git + plain-old UNIX tooling is powerful. I've noticed that anchoring
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Cartridges: Store long contexts in tiny caches with LLM self-study
(hazyresearch.stanford.edu)
1 points
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dvrp
1y ago
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0 comments
220.
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dvrp
1y ago
From their repo: tl;dr When we put lots of text (e.g. a whole code repo) into a language model's context, generation cost soars because of the KV cache's size. What if we trained a smaller KV cache for our documents offline? Usi
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Cartridges: Storing long contexts in tiny caches with self-study
(github.com)
2 points
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dvrp
1y ago
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1 comments
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Building Cursor
(newsletter.pragmaticengineer.com)
2 points
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dvrp
1y ago
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0 comments
223.
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Seaweed APT2: a real-time, interactive, streaming video generation model
(seaweed-apt.com)
1 points
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dvrp
1y ago
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1 comments
224.
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dvrp
1y ago
Related tweet: https://x.com/peter9863/status/1933035511389548948
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OmniPainter: Training-Free Stylized Text-to-Image Generation with Fast Inference
(github.com)
2 points
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dvrp
1y ago
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0 comments
226.
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Text-to-LoRA: Hypernetwork that generates task-specific LLM adapters (LoRAs)
(github.com)
135 points
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dvrp
1y ago
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17 comments
227.
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dvrp
1y ago
Did you check the latest documents from copyright.gov? They’re interesting exactly because of what you’re saying
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Good Writing
(paulgraham.com)
2 points
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dvrp
1y ago
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0 comments
229.
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You can try Imagen 4 at Krea
(krea.ai)
3 points
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dvrp
1y ago
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1 comments
230.
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dvrp
1y ago
OG poster and founder of Krea here. Shameless plug and we also rushed the API integration—there was no official partnership or anything. Also, as per our benchmarks/attempts, the API is a bit flaky still (it's in public preview),
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Wacom drawing tablets track the name of every application you open (2020)
(robertheaton.com)
108 points
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dvrp
1y ago
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52 comments
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dvrp
1y ago
What a coincidence! I think we both commented noting the phenomenon of abundance and the repercussions for us humans at the individual level. Especially from a fulfillment and autonomy point of view.
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dvrp
1y ago
This is a byproduct of abundance. In this case, abundance of cognitive ability. We say that our food sucks. Yet, our elite athletes would crush Hercules or other God-like figures from our mythology. At the same time, we suffer from obesity.
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dvrp
1y ago
a way to find people is to pursue your natural interests and let “the project” become its own thing organically
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Airbnb built a custom media format for transparent video playback at 60 FPS
(twitter.com)
1 points
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dvrp
1y ago
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0 comments
236.
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dvrp
1y ago
Yes! This in essence. Specifically, it’s a file that contains a list of Entity-Attribute-Value assertions in triplets. It’s called “FACTS.md” and each line represents a fact. Such as “<OP>, PASSPORT_NUMBER, <VALUE>” Then put it
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dvrp
1y ago
I feel like you can do the same using a single markdown file and an LLM (e.g. Claude Code). I do it that way and then I hooked it up with the Telegram API. I’m able to ask things like “What’s my passport number?” and it just works. Combine
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dvrp
1y ago
Disclaimer: Krea cofounder here so, self-plug here. However, I thought of sharing because I think the idea of prompting ChatGPT-like models through visual cues is non-intuitive. It works quite well too. We are sadly not able to offer it for
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Show HN: GPT Paint – instruct ChatGPT with edit shapes, notes, and references
(twitter.com)
1 points
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dvrp
1y ago
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1 comments
240.
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dvrp
1y ago
seems like it's not a new 671 B behemoth, just the V3 MoE engine with long-context RoPE + FA2, retargeted at theorem proving. see [1,2]: [1]: https://arxiv.org/abs/2405.14333 [2]: https://arxiv.org/
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