Thursday, July 9

Tag: Reddit

Guess which row is Meta's new 'Muse' Image Model
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Guess which row is Meta’s new ‘Muse’ Image Model

Meta released Muse Image this week so I ran it against OpenAI's gpt-image-2 and Google's Nano Banana 2. I used the same source duck image and the same edit instructions prompt for every model (unchanged → blue → face away → glass → wireframe → hat-on-ball → "FRENZY" text → standing on a mirror with a correct reflection). The transformations go from easy on the left and gradually get harder. I ran 3 runs per model. Each model was then scored using a fixed 27-point rubric. One of these rows is Meta's new model. The reveal and full scores are in the comments. submitted by /u/spobin [link] [comments]
LinkedIn’s behavioral scoring system and what it means for anyone building AI automations on the platform
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LinkedIn’s behavioral scoring system and what it means for anyone building AI automations on the platform

LinkedIn removed the fixed connection request cap sometime in the last couple of years. Well, it was more in general cuts, the latest of which happened this year, and replaced it with a dynamic per-account scoring model that most people building automation on the platform haven't fully mapped yet. The system weighs several behavioral inputs. Namely these: acceptance rate, reply rate, SSI (Social Selling Index), organic posting activity, and the number of pending unaccepted invitations sitting in your queue, which it uses to produce a trust score that directly controls how many outbound actions your account is allowed to take. In practice, this means that accounts with high trust signals (SSI around 65 or above, acceptance rates above 40%) can push up to 200 connection requests per week wi...
AI can’t simulate human preferences – new study tests LLMs against thousands of real users
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AI can’t simulate human preferences – new study tests LLMs against thousands of real users

https://arxiv.org/abs/2605.18311 There’s a massive trend right now where companies are trying to replace real human feedback with LLM-driven "synthetic users." The idea sounds great on paper - why would you spend money and time recruiting real people to test products, pick design choices, or evaluate options when you can just prompt? They tested LLMs across 28 real-world studies spanning 78 choice tasks to see if their selections matched thousands of actual human participants. The result? The LLMs matched the human majority only 53% of the time. Since most tasks were a choice between two options, that's pretty much same as flipping a coin. Even worse for the "simulation" argument: adding detailed personas and chain-of-thought reasoning yielded practically no improvement. It actually made t...
AI is scaling 3x faster than the internet wave and it’s NOT slowing down
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AI is scaling 3x faster than the internet wave and it’s NOT slowing down

One thing that stands out about the current AI boom is that it hasn't had a slow phase. A lot of previous technology waves had a big moment, cooled off for a while and then found their next use case. Recent estimates suggest GenAI companies are generating around $110B in annual revenue and the growth rate is reportedly around 3x faster than previous IT waves like the internet and mobile. What's interesting is that the pace has held through every phase since 2022; first it was chatbots, then coding copilots and now it's AI agents and if you’ve followed this space closely enough, you can see instead of one trend replacing another, each wave seems to be creating demand for the next one. I think that's also changing how people build and consume. A year or two ago, most of the conversatio...
Why are more and more people switching to uncensored or local models?
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Why are more and more people switching to uncensored or local models?

A clear trend is happening lately, a lot of users are moving away from heavily restricted models like chatgpt and claude toward uncensored or local models. Common reasons seem to be fewer refusals, better creative freedom, and privacy concerns. Has anyone else made the switch or considered it? submitted by /u/NoFilterGPT [link] [comments]
A war between Anthropic and Alibaba?
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A war between Anthropic and Alibaba?

Anthropic has accused Alibaba of creating tens of thousands of fake Claude accounts to scrape Claude of its intellectual property via distillation attacks. Alibaba retaliates by telling their official (not contracted) employees to stop using Claude Code. I'm noticing from Reddit posts and comments that Claude has gotten much more wary of what it determines as strange prompting requests? There is an article indicating that Fable 5 has been "hardened" against distillation attacks, but it's locking out some legitimate users and refusing on innocuous requests. Seems like a lot of users are caught in the middle? submitted by /u/RazzmatazzAccurate82 [link] [comments]
What’s one thing AI does surprisingly well that you didn’t expect?
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What’s one thing AI does surprisingly well that you didn’t expect?

When ChatGPT first came out, I assumed I'd mostly use it to answer random questions. That lasted about a week. Now the thing I use it for the most is taking messy thoughts and turning them into something I can actually work with. Whether it's rewriting an email, organizing notes, or helping me think through an idea, that's become the real value for me. Ironically, I use AI less for getting answers and more for helping me think more clearly. What about you? What's one use case you genuinely didn't expect to become part of your routine? submitted by /u/Sandesh_jagtap [link] [comments]
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