visarga

19 ms·

481.
by visarga 1y ago
> Journalism is thrash and journalists are happy to lie about anything if they have the smallest amount of plausible deniability. Funny, if you see the NYT lawsuit against OpenAI, they act like they are still doing serious journalism.
482.
by visarga 1y ago
I think the claim is wrong, depends on many things. In most cases AI content is better than web content, especially if you use Deep Research to ground it in multiple sources. It is a problem when content is generated to capture traffic (SEO
483.
by visarga 1y ago
Where they agree it shows the data supports that answer - not necessarily that it is true, where they disagree it shows you need to hedge. That's useful.
484.
by visarga 1y ago
>> Consider the restaurant owner from earlier who uses AI to create custom inventory software that is useful only for them. They won’t call themselves a software engineer. I have a suspicion this is LLM text, sounds corny. There are d
485.
by visarga 1y ago
Solve the same task with ChatGPT, Gemini and Claude. If they agree, you can be reasonably sure.
486.
by visarga 1y ago
We can't decide whether to take a vaccine even when we are dying left and right. And we have brains, not chips inside.
487.
by visarga 1y ago
> Are you really going to hire that developer because you need extra manpower to stand up test coverage? No, so as far as that developer is concerned, AGI has arrived for that part of their professional career. That is exactly what you n
488.
by visarga 1y ago
> The current generation of LLM's have convinced me that we already have the compute and the data needed for AGI, we just likely need a new architecture. I think this is one of the greatest fallacies surrounding LLMs. This one, and
489.
by visarga 1y ago
It's always a small crisis what app/book to install on my phone to give me 5-8 hours of reading while on a plane. I found one - Newsify, combine it with YT caching.
490.
by visarga 1y ago
Consider the river metaphor: water carves the banks, banks channel the water. At any moment water and banks have the same shape. Model/algorithm is the banks. Water could be the experiences. Maybe the algorithm does not have consciousn
491.
by visarga 1y ago
Every time you need a rarely used functionality it might be better to wait 60s for an LLM with MCP tools to do its work than to update an app. It only makes sense to optimize and maintain app functionalities when they are reused.
492.
by visarga 1y ago
There are 3 parts of the process the AI agent can't do - the start, the middle and the end :) No, really, they need humans to identify tasks worth working on, then guide the model during development and providing iterative feedback, an
493.
by visarga 1y ago
One deal breaker for me - TTS (select and speak) is broken. It does not read the selected text.
494.
by visarga 1y ago
Just need the feedback to follow suit to be 100x as effective. Tests, docs and rapid loops of guidance with human in the loop. Split your tasks, find the structure that works.
495.
by visarga 1y ago
The triad of LLM dependencies in my view: initiation of tasks, experience based feedback, and consequence sink. They can do none of these, they all connect to the outer context which sits with the user, not the model. You know what? This is
496.
by visarga 1y ago
AI itself? unrelated to derivative/transformative split. Depends how you use it.
497.
by visarga 1y ago
I agree with you, current models can't work totally outside their training set. An example of AI that trained with environment and feedback/outcome learning is AlphaZero, and it totally beat us at our own game. Even so, DeepMind s
498.
by visarga 1y ago
The kettle costs money to make and use, so it needs to pay back its costs to continue being made, it has to be useful.
499.
by visarga 1y ago
> Reddit “set a trap” by creating a test post visible only to Google’s crawler, and that it appeared in Perplexity’s results within hours Are we going to enter an age of "infringement without substantial similarity"? This seems
500.
by visarga 1y ago
Execute actions and cognition that pay back the cost of said actions, and support the next generation. No intelligence can appear outside social bootstrapping, it always needs someone pay the initial costs. So the cost of execution drives a
501.
by visarga 1y ago
This book lines up with a lot of what I've been thinking: the centrality of prediction, how intelligence needs distributed social structure, language as compression, why isolated systems can't crack general intelligence. But there
502.
by visarga 1y ago
This is a reaction to > 'Attention is all you need' coauthor says he's 'sick' of transformers https://news.ycombinator.com/item?id=45690840
503.
by visarga 1y ago
LLMs can generate slop if used without good feedback or trying to minimize human contribution. But the same LLMs can filter out the dark patterns. They can use search and compare against dozens or hundreds of web pages, which is like the de
504.
What the Dumpster Teaches
6 points by visarga 1y ago|2 comments
505.
by visarga 1y ago
It seems unfair to call out LLMs for "spam, scams, propaganda, and astroturfing." These problems are largely the result of platform optimization for engagement and SEO competition for attention. This isn't unique to models; e
506.
by visarga 1y ago
I am using a graph based format which is stored as text file. It is as simple as possible: each node is a line, prefixed with node id, and containing inline node references. I am providing a sample right here: --- [1] *Mind Map Format Overv
507.
by visarga 1y ago
I have also created a MCP memory tool, it has both RAG over past chats and a graph based read/write space. But I tend not to use it much since I feel it dials the LLM into past context to the detriment of fresh ideation. It is just les
508.
by visarga 1y ago
Funny, I habitually read while engaging TTS on same text. I have even made a Chrome extension for web reading, it highlights text and reads it, while keeping the current position in the viewport. I find using 2 modalities at the same time i
509.
by visarga 1y ago
I think I do, I have been in ML for 12 years and followed transformers since their invention. Also been using LLM daily since they appeared, personally.
510.
by visarga 1y ago
I wanted to use the agentic powers of the model to dig for specific kinds of news, and use iterative search as well. I think when LLMs use tools correctly this kind of search is more powerful than simple web search. It also has better seman

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