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spolu
searching Neon…
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9 ms
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1.
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Code Contracts: Structured specifications colocated with code
(code-contracts.cc)
4 points
by
spolu
6d ago
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0 comments
2.
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Hive: Engineering at the Speed of AI
(dust.tt)
2 points
by
spolu
8mo ago
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0 comments
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Build vs. Run
(dust.tt)
1 points
by
spolu
8mo ago
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0 comments
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Infrastructure behind Dust deep-dive agent
(blog.dust.tt)
3 points
by
spolu
11mo ago
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0 comments
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Network of agents collaborating through a publication/review system
(github.com)
2 points
by
spolu
1y ago
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0 comments
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Show HN: Dead simple transcription command-line
(github.com)
2 points
by
spolu
1y ago
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0 comments
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Thoughts on the Future of Coding
(twitter.com)
1 points
by
spolu
1y ago
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0 comments
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Cybersecurity and LLMs
(twitter.com)
1 points
by
spolu
1y ago
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0 comments
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The Visions of Neil Mehta
(joincolossus.com)
2 points
by
spolu
1y ago
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0 comments
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MCP and the emerging enterprise AI OS layer
(blog.dust.tt)
2 points
by
spolu
1y ago
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0 comments
11.
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by
spolu
2y ago
Yes you are perfectly right. Our product pushes users to be selective on the tables they give access to a given agent for a given use-case :+1: The tricky part is correctly supporting multiple systems which each have their own specificity.
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by
spolu
2y ago
Hi, you are right that things can go sideways fast. In practice, the data that the typical employee needs is also quite simple. So there is definitely a very nice fit for this kind of product with a large number of use-case that we do see p
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A fair comparison of modern models' reasoning capabilities
(blog.dust.tt)
1 points
by
spolu
3y ago
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0 comments
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Speculative sampling: LLMs writing a lot faster using smaller LLMs
(blog.dust.tt)
4 points
by
spolu
3y ago
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0 comments
15.
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by
spolu
4y ago
Hi, this is a fair concern. We're super early and working on a proper privacy policy as we speak. But we also provided some color about how we handle your data on our Discord. Copying it here: ``` The privacy section on the landing REA
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by
spolu
4y ago
Completely agreed with that. We'll revisit if needed but we don't expect it to be too much of an issue at this stage. Our goal is to gather marginally more usage to learn more about productivity use-cases using LLMs. Here's t
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by
spolu
4y ago
Dust XP1 runs on a Dust app. You just need a "history" input parameter that gets injected at the right place. Does that make sense?
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by
spolu
4y ago
The real value will accrue as the assistant become more personalised as users use it.
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by
spolu
4y ago
Completely agreed! I believe I’ll open source the app in the coming days. This is before anything else an exploration at this stage.
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by
spolu
4y ago
Some additional context here if interested: https://twitter.com/spolu/status/1602692992191676416
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Show HN: XP1 – A GPT-based Assistant with access to the browser Tabs
(xp1.dust.tt)
48 points
by
spolu
4y ago
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9 comments
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WebGPT reproduced from advanced prompting only (using Dust)
(twitter.com)
8 points
by
spolu
4y ago
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2 comments
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Show HN: Wedding thank you notes auto-drafted with Dust and GPT3
(dust.tt)
2 points
by
spolu
4y ago
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1 comments
24.
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by
spolu
5y ago
Copilot actually knows a bit of Lean and can be helpful when formalizing stuff. But it does not get the critical feedback we get from the formal systems (as it's not designed for formal systems). It would be interesting to eval copilot
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by
spolu
5y ago
It takes a lot of CPU (lean side) on top of GPU (neural side) indeed. But technically, when properly parallelized, it takes no more than 1-2h to crack the hardest problem we've cracked so far.
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by
spolu
5y ago
This is definitely something that we'll be looking into more closely in the future. Our old and busted `gptf` tactic was a good start but we can do much better!
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by
spolu
5y ago
Sorry, late reply. Indeed settle.network expired and is now owned by another party. Sorry for the ensued confusion.
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Decentralized trust graph for online value exchange without a blockchain (2017)
(web.archive.org)
123 points
by
spolu
5y ago
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39 comments
29.
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by
spolu
6y ago
Completely agreed.
30.
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by
spolu
6y ago
(30k proofs to be precise, valid and test are each 1k)
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