#aicritic — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aicritic, aggregated by home.social.
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I just got access to Claude Opus 4.7... it burns tokens at a 7.5x rate...
Our recent department meeting told us to use the AI tools to "be efficient," or else no added head-count.
They aren't actually measuring efficiency. But they are looking at token usage.
I think they are presuming token usage is going to be correlated with efficiency and want "number go up" metrics.
So my conclusion is that I should immediately switch to Claude Opus 4.7 to burn tokens faster.
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I just got access to Claude Opus 4.7... it burns tokens at a 7.5x rate...
Our recent department meeting told us to use the AI tools to "be efficient," or else no added head-count.
They aren't actually measuring efficiency. But they are looking at token usage.
I think they are presuming token usage is going to be correlated with efficiency and want "number go up" metrics.
So my conclusion is that I should immediately switch to Claude Opus 4.7 to burn tokens faster.
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I just got access to Claude Opus 4.7... it burns tokens at a 7.5x rate...
Our recent department meeting told us to use the AI tools to "be efficient," or else no added head-count.
They aren't actually measuring efficiency. But they are looking at token usage.
I think they are presuming token usage is going to be correlated with efficiency and want "number go up" metrics.
So my conclusion is that I should immediately switch to Claude Opus 4.7 to burn tokens faster.
-
I just got access to Claude Opus 4.7... it burns tokens at a 7.5x rate...
Our recent department meeting told us to use the AI tools to "be efficient," or else no added head-count.
They aren't actually measuring efficiency. But they are looking at token usage.
I think they are presuming token usage is going to be correlated with efficiency and want "number go up" metrics.
So my conclusion is that I should immediately switch to Claude Opus 4.7 to burn tokens faster.
-
I just got access to Claude Opus 4.7... it burns tokens at a 7.5x rate...
Our recent department meeting told us to use the AI tools to "be efficient," or else no added head-count.
They aren't actually measuring efficiency. But they are looking at token usage.
I think they are presuming token usage is going to be correlated with efficiency and want "number go up" metrics.
So my conclusion is that I should immediately switch to Claude Opus 4.7 to burn tokens faster.
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... I'm not sure I'm happy with #LLM's burning the ocean, with the "AI" #software running as a service and funneling all the money to the top. I'm not sure I want my "personal" computer being effectively owned by someone else.
But wow, those RSI inducing editing tasks I struggled with in the 90's are just the tip of an entire class of essentially solved problems.
The machines can almost operate as I had foreseen and hoped. And yet... and yet... I have no more words.
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... I'm not sure I'm happy with #LLM's burning the ocean, with the "AI" #software running as a service and funneling all the money to the top. I'm not sure I want my "personal" computer being effectively owned by someone else.
But wow, those RSI inducing editing tasks I struggled with in the 90's are just the tip of an entire class of essentially solved problems.
The machines can almost operate as I had foreseen and hoped. And yet... and yet... I have no more words.
-
... I'm not sure I'm happy with #LLM's burning the ocean, with the "AI" #software running as a service and funneling all the money to the top. I'm not sure I want my "personal" computer being effectively owned by someone else.
But wow, those RSI inducing editing tasks I struggled with in the 90's are just the tip of an entire class of essentially solved problems.
The machines can almost operate as I had foreseen and hoped. And yet... and yet... I have no more words.
-
... I'm not sure I'm happy with #LLM's burning the ocean, with the "AI" #software running as a service and funneling all the money to the top. I'm not sure I want my "personal" computer being effectively owned by someone else.
But wow, those RSI inducing editing tasks I struggled with in the 90's are just the tip of an entire class of essentially solved problems.
The machines can almost operate as I had foreseen and hoped. And yet... and yet... I have no more words.
-
... I'm not sure I'm happy with #LLM's burning the ocean, with the "AI" #software running as a service and funneling all the money to the top. I'm not sure I want my "personal" computer being effectively owned by someone else.
But wow, those RSI inducing editing tasks I struggled with in the 90's are just the tip of an entire class of essentially solved problems.
The machines can almost operate as I had foreseen and hoped. And yet... and yet... I have no more words.
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I just read this article about chess-like vs poker-like problems, and how poker-like problems are bad candidates for solution with LLM type models.
I'm looking for more reading like this about the underlying architecture, behavior, and future directions of the models and the cutting edge research around them. Does anyone have links they found valuable?
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I just read this article about chess-like vs poker-like problems, and how poker-like problems are bad candidates for solution with LLM type models.
I'm looking for more reading like this about the underlying architecture, behavior, and future directions of the models and the cutting edge research around them. Does anyone have links they found valuable?
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I just read this article about chess-like vs poker-like problems, and how poker-like problems are bad candidates for solution with LLM type models.
I'm looking for more reading like this about the underlying architecture, behavior, and future directions of the models and the cutting edge research around them. Does anyone have links they found valuable?
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I just read this article about chess-like vs poker-like problems, and how poker-like problems are bad candidates for solution with LLM type models.
I'm looking for more reading like this about the underlying architecture, behavior, and future directions of the models and the cutting edge research around them. Does anyone have links they found valuable?
-
I just read this article about chess-like vs poker-like problems, and how poker-like problems are bad candidates for solution with LLM type models.
I'm looking for more reading like this about the underlying architecture, behavior, and future directions of the models and the cutting edge research around them. Does anyone have links they found valuable?
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Yesterday my VPS set off a warning, as it was hit by a huge spike in incoming traffic, peaking at 55GB at 2:15pm and lasting for an hour.
Upon investigating, it turns out it was my PeerTube instance that was targeted.
Where did the traffic come from?
meta-externalagent (aka Meta's web crawler which is used to grab content to train its AI system).
I feel a little bit violated thinking my Fediverse promo video was grabbed by it, sigh.
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Yesterday my VPS set off a warning, as it was hit by a huge spike in incoming traffic, peaking at 55GB at 2:15pm and lasting for an hour.
Upon investigating, it turns out it was my PeerTube instance that was targeted.
Where did the traffic come from?
meta-externalagent (aka Meta's web crawler which is used to grab content to train its AI system).
I feel a little bit violated thinking my Fediverse promo video was grabbed by it, sigh.
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Yesterday my VPS set off a warning, as it was hit by a huge spike in incoming traffic, peaking at 55GB at 2:15pm and lasting for an hour.
Upon investigating, it turns out it was my PeerTube instance that was targeted.
Where did the traffic come from?
meta-externalagent (aka Meta's web crawler which is used to grab content to train its AI system).
I feel a little bit violated thinking my Fediverse promo video was grabbed by it, sigh.
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Yesterday my VPS set off a warning, as it was hit by a huge spike in incoming traffic, peaking at 55GB at 2:15pm and lasting for an hour.
Upon investigating, it turns out it was my PeerTube instance that was targeted.
Where did the traffic come from?
meta-externalagent (aka Meta's web crawler which is used to grab content to train its AI system).
I feel a little bit violated thinking my Fediverse promo video was grabbed by it, sigh.
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Yesterday my VPS set off a warning, as it was hit by a huge spike in incoming traffic, peaking at 55GB at 2:15pm and lasting for an hour.
Upon investigating, it turns out it was my PeerTube instance that was targeted.
Where did the traffic come from?
meta-externalagent (aka Meta's web crawler which is used to grab content to train its AI system).
I feel a little bit violated thinking my Fediverse promo video was grabbed by it, sigh.
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Jag lät en "ai-kritiker" analysera en gammal låt och fick följande svar:
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Jag lät en "ai-kritiker" analysera en gammal låt och fick följande svar:
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Jag lät en "ai-kritiker" analysera en gammal låt och fick följande svar:
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Jag lät en "ai-kritiker" analysera en gammal låt och fick följande svar:
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Jag lät en "ai-kritiker" analysera en gammal låt och fick följande svar:
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RE: https://mastodon.social/@h4ckernews/115407264819491086
A new blog post by Ed Zitron on real operation costs of AI companies
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RE: https://mastodon.social/@h4ckernews/115407264819491086
A new blog post by Ed Zitron on real operation costs of AI companies
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RE: https://mastodon.social/@h4ckernews/115407264819491086
A new blog post by Ed Zitron on real operation costs of AI companies
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RE: https://mastodon.social/@h4ckernews/115407264819491086
A new blog post by Ed Zitron on real operation costs of AI companies
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RE: https://mastodon.social/@h4ckernews/115407264819491086
A new blog post by Ed Zitron on real operation costs of AI companies
