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cagz
searching PlanetScale…
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4 ms
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1.
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by
cagz
5d ago
The article starts interestingly; I like the analogy between cold reading and LLM responses (well, the ones we were getting three years ago). Then it goes on to generalise to the tune of "This new era of tech seems to be built on super
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by
cagz
6d ago
The title feels clickbaity. Direct API, CLI and MCP all have their uses. Direct access (Curl/own small function): This requires agent to have full understanding of the API spec. Yes, context can be protected using progressive disclosur
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Jev vs. XGBoost and Bert
(explainx.ai)
4 points
by
cagz
7d ago
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0 comments
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by
cagz
14d ago
A very poor, word-by-word copy of https://mathandai.org
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by
cagz
14d ago
I wish this were a document that clearly described how mathematicians expect AI to behave, rather than how it is misaligned. I can kind of decipher the expectation from the declaration, but it still sounds a bit like "it would be bette
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by
cagz
22d ago
Yes, quite a few uses in prod, main use case being abstracting API access for agents. In our case these are mostly in-house MCP servers, purpose built for the given agent. Why MCP instead of CLI or agent accessing API directly? Direct acces
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by
cagz
2mo ago
It is BTP, not London Underground, they are not the same thing.
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by
cagz
2mo ago
Outages happen. What concerned me most was the time taken for the full resolution (almost 12 hours). I am hoping that root cause analysis promised will look into this as well and how it can be improved.
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by
cagz
2mo ago
Is the 1/10+ reduction in memory usage applicable to larger models, i.e. would be possible to run a 200Gb model, by using 20Gb of memory?
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by
cagz
2mo ago
I couldn't help noticing on the screenshot that user having direct access to a production database from their laptop :)
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by
cagz
3mo ago
My workflow is: - Write the test first, confirm it fails - Write the minimum code to make that test pass - Confirm it is green
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by
cagz
4mo ago
Would be nice to see the actual % token/time saving across end-to-end coding sessions over these time periods https://github.com/MinishLab/semble#savings My observation is that greps and the processing of grep out
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by
cagz
5mo ago
I like how far mature adulthood goes :) One never gets old.
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by
cagz
6mo ago
Getting frustrated by not having RAG solutions able to answer schematic questions such as "how many X are there", I've created DuoRAG: https://github.com/cagriy/duo-rag It maintains a vector store and a
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by
cagz
6mo ago
Nice tech read, but without information about which companies, doing what, just feels way too click-baity.
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by
cagz
6mo ago
I found the idea very interesting but put off a little bit by the various details such as face normals etc (have limited knowledge of the topic). Here are few ideas to increase adoption: - Sample files - A video of end-to-end process of cre
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Show HN: DuoRAG – A dual stack RAG that self-evolves
(github.com)
3 points
by
cagz
6mo ago
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0 comments
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by
cagz
6mo ago
I am a big fan of MAUI, but I'd really wish they fixed existing issues instead of extending it further. 3.9k open issues and counting. I've got 5 open, verified bugs, some from 2023 :(
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by
cagz
6mo ago
It is perhaps my eyes, but when I zoom in enough to make it readable, it gets blurry. A higher-res image would be much appreciated. Great idea otherwise.
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Ego's Fight with AI
(cagriy.github.io)
1 points
by
cagz
7mo ago
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1 comments
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Meterstick for Claude Code
(github.com)
1 points
by
cagz
7mo ago
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0 comments
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by
cagz
7mo ago
> No one is formally verifying the result This might be the case for a hobby project or a start-up MVP being created in a rush, but in reality, there are a few points we may want to take into account: 1. Software teams I work with are ma
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by
cagz
7mo ago
I understand the argument, and there are some really good points. My biggest concern would be that adopting the CLI method would require LLM to have permission to execute binaries on the filesystem. This is a non-issue in an openclaw-type s
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by
cagz
7mo ago
I think their intention is not mining your data (easily opt-outable) or hoping that you maintain the subscription after 6 months. It is rather making large open source project maintainers give AI a proper go. Believe it or not, there are st
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by
cagz
7mo ago
The use of data for model training is a simple toggle, very easy to opt out of during the initial setup. Also, the end product is open source anyway, so there is no case of IP being leaked into training data. What remains is that they can u
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by
cagz
7mo ago
Assuming they've got reasonable programming skills. They can simply find an open-source project they are passionate about. Spend time understanding the overall structure. Then pick up an issue raised by the community and prepare a fix
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AI – We are asking the wrong question
(cagriy.github.io)
2 points
by
cagz
7mo ago
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0 comments
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by
cagz
7mo ago
I don't think this is an AI issue. It is about the terms of use: they don't allow a second account, even if it's intended for ad management. The recommended way is to use Meta Business Manager via the existing account.
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by
cagz
7mo ago
Low-quality AI-created PRs that are submitted to open-source repositories are prompted by humans. And those are the same humans who fails to review AI's output properly before submitting (or letting AI submit) as PRs. Let's not bl
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by
cagz
7mo ago
Does the article have a strong marketing vibe? Absolutely Does the research performed move the needle, however small, in theoretical physics? Yes Could we have expected this to happen a year ago? Not really. My personal opinion is that thin
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