[-] morrowind@lemmy.ml 4 points 2 days ago* (last edited 2 days ago)

I've made at least 5 points, one of which from your own sources all of which you've ignored in favoring of dumbly repeating your line of openrouter being representative of broader trends which I've explained twice why it wouldn't be true. Good day sir

[-] morrowind@lemmy.ml 4 points 2 days ago

https://finance.yahoo.com/sectors/technology/articles/many-us-tech-firms-turning-202000738.html

which says

By this April, DeepSeek’s adoption rate still hovered at 0.1 per cent. For context, market leaders Anthropic and OpenAI dominated the index at 34.4 per cent and 32.3 per cent, respectively. Ramp did not provide the market share percentages for June.

Thanks for proving my point I guess. Your other links are anecodatal. Composer 2 & 2.5 are built off of Kimi K2.5, not GLM as it says very clearly in your own link. That's not even relevant to the topic but given you don't read your own sources.

I've made my point: the headline is misleading because it fails to mention it's data from openrouter specifically, for reasons I briefly outlined all of which you dismissed without engaging.

[-] morrowind@lemmy.ml 3 points 2 days ago

because

  1. as I just said "Openrouter rankings tend to be skewed by discounts and free models (like Minimax m3 is on a 50% discount) , both on openrouter or through apps like Kilo code which route through openrouter then provide a discount"
  2. also as I said "Most us model users don’t go through Openrouter (most chinese probably don’t either, but the ratio is probably higher for us)."

There's several reasons for this. Openrouter providers easy provider switching and model discoverability in exchange for a 5% markup and some latency. Western models don't have many providers anyway, their users are generally not exploring other models as much so both those benefits go away. Companies, which (outside of china) overwhelmingly prefer going to providers themselves and doing enterprise level contracts instead of going through openrouter. They also prefer western models. Most open model usage comes through individuals trying to reduce costs and/or explore other models, which are going to be overrepresented on openrouter.

[-] morrowind@lemmy.ml 7 points 3 days ago

Misleading headline.

For six consecutive weeks, Chinese AI models have outpaced their American counterparts in total API call volume on OpenRouter, one of the largest AI model routing platforms, signaling a decisive shift in global developer adoption patterns.

  1. It's from openrouter. Most us model users don't go through Openrouter (most chinese probably don't either, but the ratio is probably higher for us).
  2. Also like half of openrouter's volume if not more is handled by western inference providers since the model is open
  3. Openrouter rankings tend to be skewed by discounts and free models (like Minimax m3 is on a 50% discount) , both on openrouter or through apps like Kilo code which route through openrouter then provide a discount
[-] morrowind@lemmy.ml 16 points 3 days ago

It doesn't help my mental health to do a pointless task.

[-] morrowind@lemmy.ml 156 points 1 month ago

same energy

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I'm not the author, just sharing.

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The messaging for climate change, often wrapped as a joke or not said directly to Gen Z is "this is your problem, [the consequences will come in your adulthood]" or "this is for your generation to solve".

B.S of course, By the time Gen-Z gets any power it'll be too late.

With AI I'm frequently seeing people, often fairly smart, good people saying things like "oh yeah AI is totally going to destroy X industry. I mean I'll be retired, so I'll be fine, but you'll have to figure something out".

My father says this frequently. My CTO at work who's been heavily pushing AI was asked "aren't you afraid it'll make you dumber?" responded "of course! But I'm retiring soon anyway, who cares". A lot of AI "leaders" often imply the same thing.

Often dressed up as a joke. I laugh along. It's never been funny and continues to get less funny.

Usually from older people, millennials are still young enough that ill effects will hit them before retirement (assuming you chaps manage to retire at all).

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For context, Core devices is the new company by the founder of Pebble to make pebbles again. Rebble is the org that kept pebbles running when Pebble disappeared

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cross-posted from: https://lemmy.ml/post/30013197

Significance

As AI tools become increasingly prevalent in workplaces, understanding the social dynamics of AI adoption is crucial. Through four experiments with over 4,400 participants, we reveal a social penalty for AI use: Individuals who use AI tools face negative judgments about their competence and motivation from others. These judgments manifest as both anticipated and actual social penalties, creating a paradox where productivity-enhancing AI tools can simultaneously improve performance and damage one’s professional reputation. Our findings identify a potential barrier to AI adoption and highlight how social perceptions may reduce the acceptance of helpful technologies in the workplace.

Abstract

Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further, we find evidence that these social evaluations affect assessments of job candidates. Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs.

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cross-posted from: https://lemmy.ml/post/30013147

Significance

As AI tools become increasingly prevalent in workplaces, understanding the social dynamics of AI adoption is crucial. Through four experiments with over 4,400 participants, we reveal a social penalty for AI use: Individuals who use AI tools face negative judgments about their competence and motivation from others. These judgments manifest as both anticipated and actual social penalties, creating a paradox where productivity-enhancing AI tools can simultaneously improve performance and damage one’s professional reputation. Our findings identify a potential barrier to AI adoption and highlight how social perceptions may reduce the acceptance of helpful technologies in the workplace.

Abstract

Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further, we find evidence that these social evaluations affect assessments of job candidates. Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs.

[-] morrowind@lemmy.ml 153 points 1 year ago

Using data from Nasa’s James Webb Space Telescope, researchers at Kansas State University in the US discovered that the majority of the galaxies were rotating in the same direction.

This goes against previous assumptions that our universe is isotropic, meaning there should be an equal number of galaxies rotating clockwise and anticlockwise.

“It is not clear what causes this to happen, but there are two primary possible explanations,” said Lior Shamir, associate professor of computer science at Kansas State University.

“One explanation is that the universe was born rotating. That explanation agrees with theories such as black hole cosmology, which postulates that the entire universe is the interior of a black hole.”

yeah it's just the most headline grabbing possibility

[-] morrowind@lemmy.ml 183 points 1 year ago

on onlyfans, like most platforms, the vast majority of people make little to nothing

[-] morrowind@lemmy.ml 136 points 1 year ago

idk, I feel like we could take a much better approach to this. Instead of just mocking them, maybe point out how they maybe can't trust where they got their idea of who trump was, and maybe to stop supporting him?

[-] morrowind@lemmy.ml 162 points 1 year ago

90% of b2b software. They literally charge thousands of dollars while giving the worse piece of shit software you've ever used.

[-] morrowind@lemmy.ml 170 points 2 years ago* (last edited 2 years ago)

Instead of algorithms, noplace leverages AI technology to drive suggestions and curation.

Instead of algorithms, noplace leverages algorithms to drive suggestions and curation

[-] morrowind@lemmy.ml 206 points 2 years ago

Unfortunately, if twitter has shown us anything, it's social networks are ridiculously hard to destroy, even when actively self-sabotaging

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