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#chatgpt

327 posts260 participants31 posts today

🤖 AI
🔴 Meta Launches Llama 4 Models as Open Source

🔸 Scout & Maverick models are multimodal & handle text, image, video, audio.
🔸 Llama 4 Behemoth teased—Meta’s “smartest, most powerful” AI to date.
🔸 Delays occurred due to poor math/reasoning benchmarks vs OpenAI.
🔸 Meta to spend up to $65B this year to scale AI infrastructure.

#Meta#AI#Llama4
Can’t escape the slop

I disabled #AI assist on #DuckDuckGo, but even when I do, I still get a bunch of search results that point me to 100% AI-generated web pages. Nowadays anyone can just fuzz search engines like #Google for lists of commonly searched queries, then generate slop responses to these queries, then cache the slop, and then use shady SEO techniques to get these slop pages to show up at the top of search results. And this is what I have been getting from a lot of my web searches lately, content from slop shops.

A part of me thinks companies like Google, Microsoft, and Amazon may themselves be investing in these shady slop shops to deliberately make traditional search engines useless, which would “incentivize” people to use #LLM -based AI like Gemini or #ChatGPT more often, though that is purely speculation on my part.

If you had asked my 20 years ago that the #Internet of the future would rapidly devolve and become increasingly useless as time went on, I would have dismissed you as a paranoid crackpot. Here we are in the future and I still can hardly believe how shitty technology is becoming.

Do you think at some point in the near future you will be able to buy off the shelf #AI servers for home use that deploy as easily as a home-security NVR and have local voice control satellites / speakers / sensors (for example as easily as Reolink home security systems) effectively giving you the same power as #chatgpt / #alexa / #siri etc but totally local to your home? I feel like something like this could be the next big evolution for #HomeAssistant

I've noticed I'm becoming more impatient when using ChatGPT. Problems where it doesn't have good enough data, it seems to do such a wild solutions and driving me to a rabbit holes.

Right now, I'm trying to implement Bluetooth pairing from scratch and create a C1 function to calculate the confirm value. It seems to understand what I'm trying to do, but in the end, I still have to read the whole spec to get this done because it just creates broken code and tests.

Vibey (Worker) comparison
between #o4 #Chatgpt and #Claude Sonnet 3.7

So recently I got a new CC and had difficulty getting it in #Antrophic. Because I have grown reliant on the PRO model in my daily. I paid the #AI tax to #OpenAI.

Here is my experience.

1. I'll restate this because it needs restating. The free models are dumber. The only meaningful assessment can come from the pay-for model.

2. AI moves at breakneck speed a month in AI is worth at least 6 elsewhere. Would you believe there are still 6-finger jokes floating around, even though current pro Gens done that for a year+.

3. The new ChatGpt model definitely seems smarter.
It seems to unnecessarily burn compute though, offering multiple solutions to issues.
I liked how it quickly adapted it's persona to my work style.

4. I like the new "vibe coding" refactoring, where it will go line by line through the code changing it. Very SciFi.

5. The new Pro sub for OpenAi comes with Gen subs (value+) so you can create images (Anthropic doesn't have that).
Also #Sora sub so you can make 10s videos, if you have seen Sora videos, they are mind-blowing.

7. It has another model called "Monday" which just works like an asshole prompt. Another proof that most users still have a lot of ground to cover in #promptengineering

Overall, I think PRO ChatGpt is slightly better than Claude, though I have gotten used to Claude.