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  • Why front-end development will persist

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    An LLM has “zero context” about your project’s specific stack and style guidelines. In other words, an AI might produce a generic <Modal> component, but integrating it into your app’s unique architecture is still a human task. This is very old. Nowadays, in Copilot for example, you add files to context and tell "hey look how I did that thing there, do this new thing following the same structure, with the same naming conventions" and it's enough. And tools like Cursor just throw your whole project into context by default.
  • Best BPO Company in UK

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  • 311 Stimmen
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    Same, especially when searching technical or niche topics. Since there aren't a ton of results specific to the topic, mostly semi-related results will appear in the first page or two of a regular (non-Gemini) Google search, just due to the higher popularity of those webpages compared to the relevant webpages. Even the relevant webpages will have lots of non-relevant or semi-relevant information surrounding the answer I'm looking for. I don't know enough about it to be sure, but Gemini is probably just scraping a handful of websites on the first page, and since most of those are only semi-related, the resulting summary is a classic example of garbage in, garbage out. I also think there's probably something in the code that looks for information that is shared across multiple sources and prioritizing that over something that's only on one particular page (possibly the sole result with the information you need). Then, it phrases the summary as a direct answer to your query, misrepresenting the actual information on the pages they scraped. At least Gemini gives sources, I guess. The thing that gets on my nerves the most is how often I see people quote the summary as proof of something without checking the sources. It was bad before the rollout of Gemini, but at least back then Google was mostly scraping text and presenting it with little modification, along with a direct link to the webpage. Now, it's an LLM generating text phrased as a direct answer to a question (that was also AI-generated from your search query) using AI-summarized data points scraped from multiple webpages. It's obfuscating the source material further, but I also can't help but feel like it exposes a little of the behind-the-scenes fuckery Google has been doing for years before Gemini. How it bastardizes your query by interpreting it into a question, and then prioritizes homogeneous results that agree on the "answer" to your "question". For years they've been doing this to a certain extent, they just didn't share how they interpreted your query.
  • Best MS Office 365 Services in Saudi Arabia for Businesses

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  • 390 Stimmen
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    Yes and no. Yes people are this stupid. But also bot networks. But also alt accounts. And many of those stupid people let the algorithm to pick them their political views, which is manipulated by both the bot activity and the platform holders.
  • Science and Technology News and Commentary: Aardvark Daily

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    What are you on about with this? Last news post 2013?
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    Their previous GPU used an old AMD GPU design if I recall correctly. I wonder if they have in-house stuff now.
  • Bookmark keywords, again (Firefox)

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    bokehphilia@lemmy.mlB
    This is terrible news. I also have a keyboard-centric workflow and also make heavy use of keyword bookmarks. I too use custom bookmarklets containing JavaScript that I can invoke with a few key strokes for multiple uses including: 1: Auto-expanding all nested Reddit comments on posts with many comments on desktop. 2: Downloading videos from certain web sites. 3: Playing a play-by-forum online board game. 4: Helping expand and aid in downloading images from a certain host. 5: Sending X (Twitter) URLs in the browser bar to Nitter or TWStalker. And all these without touching the mouse! It's really disappointing to read that Firefox could be taking so much capability in the browser away.