r/accelerate 21h ago

Ex-OpenAI Researcher Says $10K UBI Payments 'Feasible' With AI-Growth

Thumbnail
businessinsider.com
119 Upvotes

The problem, however, isn't the size of the UBI check, but rather whether that money retains any of it's value. $10k/mo is worthless if a gallon of milk costs $10k.


r/accelerate 9h ago

Image Interesting benchmark - having a variety of models play Werewolf together. Requires reasoning through the psychology of other players, including how they’ll reason through your psychology, recursively. GPT-5 sits alone at the top

Post image
39 Upvotes

r/accelerate 15h ago

Technology If humans can create absurdly complex machines such as EUV lithography, can you imagine a future of AI assisted engineering?

Thumbnail
youtube.com
31 Upvotes

This is absolutely mind blowing. My mind cannot process that we went from copper tools to this in a couple thousand years. Hell, transistors are only like 75 years old.


r/accelerate 10h ago

Video Testing VLMs and LLMs for robotics w/ the Jetson Thor devkit

Thumbnail
youtube.com
9 Upvotes

r/accelerate 20h ago

AI Ai video gen PixVerse on X: "ONLY 24 HOURS. FREE. Your content, unlimited. Our servers: full throttle. ->GO Create on PixVerse https://t.co/jH00fqTDH4" / X

Thumbnail x.com
10 Upvotes

r/accelerate 2h ago

AI ChatGPT-5 massively outperforms Grok-4 in human IQ logic tests

Thumbnail gallery
Upvotes

r/accelerate 18h ago

AGI in 10years ?

Post image
5 Upvotes

To estimate AGI, I postulated that at AGI, we have: LLM size = Nb of neurons * Connections per neuron

Nb of human neurons = 100 billions Connections per neuron = 1000 So that: Nb of neurons * Connections per neuron = 100 trillions

LLM current size = 1 trillion

So in how much time will we reach a LLM with 100 trillion? Let's look at super calculators history, factor x100 every ten years

So LLM (2035) = 100 trillion And AGI in 2035


r/accelerate 2h ago

Humans hired to fix the sloppy output of AI

0 Upvotes

https://www.nbcnews.com/tech/tech-news/humans-hired-to-fix-ai-slop-rcna225969

Full summary:

AI was expected to replace creative workers, but instead it has created a new category of "AI cleanup" jobs where freelancers are hired to fix the mistakes and shortcomings of AI-generated content. From graphic designers correcting malformed logos to writers humanizing robotic text to developers debugging faulty AI code, creative professionals are finding work in addressing AI's limitations. Despite AI's growing presence, the market increasingly values the human touch, creativity, and quality that AI cannot fully replicate, suggesting that human workers remain essential for delivering polished, context-appropriate content.

TLDR summary;

This piece is framed in a particular way "fixing slop" but regardless, this is where the jobs are coming from with respect to AI - humans are the finishers.