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New Claude Fable 5 Model
Back to posting here. Sorry it's been a while. Most of us reading this post will never get to use Mythos, but luckily Anthropic decided to release a version with a ton of safety guards (Fable) The benchmarks look strong, especially the jumps in vision and code. Curious how Gemini 3.2 and the next GPT models stack up. Working in the Risk & Compliance space, my daily prompts deal with fraud and money laundering. With the new safety filters, and since I'm not in Anthropic's special program, those exact queries may get rerouted to Opus 4.8 or blocked outright. The tool built to catch bad actors might end up flagging the people fighting them. I broke down the full release, press notes, and system card in a new 20-minute video https://www.youtube.com/watch?v=TtCWqjy3T5M&t=3s
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17 Hour FREE n8n v2 Course is out now!
All of the resources for the course are in the classroom Excited to share with you what I worked on over the past few weeks https://www.youtube.com/watch?v=TZ43SRdTMs0
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Nov '25 • 
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Let's Break The Ice 🧊
Drop a comment below and share: 1) A career goal you're working toward 2) A personal goal that matters to you 3) Your favorite music artist right now Let's get to know the people behind the profiles. I'll go first in the comments! 👇
We're probably going to need that soon.
From: Vladik on 𝕏: https://x.com/Kostoglodov/status/2071144065857679631 Shaw (spirit/acc) on 𝕏: https://x.com/shawmakesmagic/status/2070918006033817867
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Is AGI (Artificial General Intelligence) actually inevitable, or are we hitting a wall?
Literally everyone in tech keeps saying AGI (Artificial General Intelligence) is coming in like 2 to 3 years. But honestly, looking at how things are going right now, I’m starting to doubt it. Is true human-level AI actually inevitable, or are we just hyping it up too much? Here is why I feel like it might happen: - AI is building AI: Models are already writing a ton of their own code now. If AI just keeps upgrading itself, it's bound to explode at some point. - Reasoning models: AI isn't just spitting out the next word anymore. It actually pauses and "thinks" through math and coding problems now, which is kind of insane. - Infinite money: Big tech companies are spending hundreds of billions of dollars on data centers and chips. They aren't going to stop anytime soon. But here is why I think we might hit a wall: - It still feels fake: An AI can solve a crazy math problem, but then fail at a super simple logic puzzle just because it wasn't in its training data. It feels like super fast memorization, not actual smarts. - Power limits: These things use a terrifying amount of electricity and water. We might literally run out of power grids before the AI gets smart enough. - Moving goalposts: Every time AI does something cool, we just say "okay, but it's still not real AGI." We don't even know what the finish line looks like anymore. Are we actually going to see sci-fi level AI sometimes in 2027-2029, or is this whole boom about to plateau hard? Drop your thoughts below.
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