aledevv

7 ms·

31.
Technical Overview of an AI RAG System with React, Python, Laravel, Redis(gist.io)
2 points by aledevv 5mo ago|0 comments
32.
by aledevv 5mo ago
> During the 40 years since the disaster, it has become clear that many species are living quite happily within the 37-mile-wide (60km) exclusion zone set up around the ruined power plant. But that's not to say nature hasn't c
33.
by aledevv 6mo ago
> All of these features are about breaking the coupling between a human sitting at a terminal or chat window and interacting turn-by-turn with the agent. This means: - less and less "man-in-the-loop" - less and less interact
34.
by aledevv 6mo ago
Only vintage-style images?
35.
by aledevv 6mo ago
If they put a pricing page, I think there would be someone who would buy it, especially nowadays when with embedded llms there is a huge hunger for RAM (as well as CPU). :))
36.
by aledevv 6mo ago
2027. Just-in-time built software and hardware.
37.
by aledevv 6mo ago
also and above all because it can be easily manipulated, as the research explained in the article actually demonstrates
38.
by aledevv 6mo ago
Yes, you're right, but popularity becomes fleeting without real quality behind the projects. Hype helps raise funds, of course, and sells, of course. But it doesn't necessarily lead to long-term sustainability of investments.
39.
by aledevv 6mo ago
> VCs explicitly use stars as sourcing signals In my opinion, nothing could be more wrong. GitHub's own ratings are easily manipulated and measure not necessarily the quality of the project itself, but rather its Popularity. The p
40.
The SM-2 Algorithm in Practice: Building a Spaced Repetition System in Laravel(alessandrofuda.github.io)
1 points by aledevv 6mo ago|0 comments
41.
by aledevv 6mo ago
> All "access control" logic lived in the JavaScript on the client side, meaning the data was literally one command away from anyone who looked This is the top! This is a typical example of someone using Coding Agents without
42.
Two-Stage Semantic Chunking for RAG in Python(alessandrofuda.github.io)
1 points by aledevv 6mo ago|0 comments
43.
by aledevv 6mo ago
On 4th example photo the model says: > They likely share an agnostic worldview and identify as heterosexual. I wonder how the model would know that they are heterosexuals? let's be careful about categorizing people so easily and in
44.
by aledevv 6mo ago
I propose a further and different "key to understanding." I would add: the second thing to decide, besides the scale, is the Plan . What do we mean, for example, by the "Ethical Plan." By ethical plan, I mean the purpos
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by aledevv 6mo ago
I'm working on a AI RAG (retrieval augmented generation) system: https://longtermemory.com It's a tool that use QDrant, a vectorial db, to embedding the texts chunks: LLM api is questioned to generate the Q&A pair
46.
by aledevv 6mo ago
> If a single writer handles batches of writes (or reads!), build each batch greedily: Start the batch as soon as data is available, and finish when the queue of data is empty or the batch is full. > ..prioritize observability befo
47.
by aledevv 6mo ago
> Commit count by month, for the entire history of the repo. I scan the output looking for shapes. A steady rhythm is healthy. But what does it look like when the count drops by half in a single month? Let's NOT jump to conclusio
48.
by aledevv 6mo ago
> The shed is where you take the blueprints you learned on the job and actually get to play with them. > You try something in the shed on a weekend because you’re curious. You learn the tradeoffs, the rough edges, the things the do
49.
by aledevv 6mo ago
@teruakohatu Some example of manual labor well payed in your country? In Italy, sometime manual labors are more safe than others not manual jobs. This is because often the rules and laws protects still human instead the profits.
50.
by aledevv 6mo ago
@sdevonoes What do you do for work? ps: Unfortunately I agree with you.
51.
by aledevv 6mo ago
> Doing a day of manual labour, chatting shit, then going for the onsen and some BBQ and beers is far better than grinding away at some enterprise SaaS that will probably disappear in a few years. I particularly agree with this stateme
52.
by aledevv 6mo ago
> Some beloved features have very shaky engineering indeed, and many features that failed miserably were built like cathedrals on the inside. What's under the hood, the people who use the product, don't care. Customers, and u
53.
Claude Code /buddy – what is it?
2 points by aledevv 6mo ago|0 comments
54.
by aledevv 6mo ago
> good code will win I don't fully agree this optimistic view. Unfortunately, for now, coding agents produce code that, if not further optimized upon "human" request, often generates more complexity than necessary. It&#x
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by aledevv 6mo ago
For agents, any direct access to execution tools (code, shell, file system, browser, and external services, etc.) exponentially increases vulnerabilities and error surfaces, especially when multiple agents interact with each other. This
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by aledevv 6mo ago
Perhaps the business of the future will be "cleaning up, eliminating" rather than "creating." With AI, we have an exponential level of productivity. But what is being produced? 90%: garbage . The problem is that what is
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by aledevv 6mo ago
I want to emphasize a thought you expressed: > "..but maybe it's a good thing that most of us don't allow this technology to reframe our thoughts." No, you're not the only one experiencing this: I too had the s
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by aledevv 6mo ago
I don't want any form of artificial intelligence, no model, no Machine Learning algorithm to be used for warfare, against any country. AI and ML must be used to build a Better world, not to destroy it. Let's use it in a Humanly in
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by aledevv 6mo ago
The main advantage is being able to write bash scripts that automate all provisioning operations and keep track of all the necessary commands. My scripts typically also serve as technical documentation for specific features and they are a s
60.
by aledevv 7mo ago
I made something similar in my project. My more difficult task has been choice the right approach to chunking long documents. I used both structural and semantic chunking approach. The semantic one helped to better store vectors in vectoria

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