Life Architect countdown to Artificial General Intelligence is at 92%.
There are less hallucinations, AI can admit when it does not have the answer and the humanoid robots are getting very good.
XAI Grok 3 is the First frontier model to consistently admit that it doesn’t know the answer to something.
First AI-written paper passes human peer review, accepted for scientific publication by Sakana AI
GPT-4.5 lowers hallucination rate for traditional LLMs tested on PersonQA, an evaluation that aims to elicit hallucinations (lower is better):
GPT-4o=0.52/0.30
o1=0.20
GPT-4.5=0.19
o3-mini=0.15
deep research=0.13
Vending-Bench: AI outperforms humans in business and making money
Vending-Bench is a simulated environment created to test AI models’ ability to manage a vending machine business over long time horizons. The simulation evaluates how well AI can handle tasks such as inventory management, ordering, and pricing. These findings highlight challenges in ensuring AI reliability and coherence in extended scenarios, important for real-world applications.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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I’m still super skeptical about this. These AIs are not knowledge based, rather they use probabilistic models using neural networks.
What I see is that low hanging fruits are getting scarcer, datasets and training seem to be growing to unmanageable/unsustainable levels.
But OTOH the DeepSeek people an others are showing the algorithmic improvements and training methods aren’t spent completely.
It’s pending to see how far they can take the efficiency and rationalization improvements, possibly going down to the level of consumer hardware. Yes, AGI in your phone.
Also, robots in the real world can continue providing an endless stream of data, but what the models will be able to learn is more related to how move and exist in the 3D physical world than surpassing our intellects.
So, I’m skeptic the superhuman AI trend can continue for much longer. They can eventually, maybe already, are better than most humans on what they can do, though, given we are not capable of spouting a endless stream of text on a whim nor drawing or composing a song as fast.
So what gives? slightly super-human AIs asymptotically more intelligent than the average human, hyper dextrous androids and robots. Enough to change the world into being unrecognizable, but not the dreaded/hoped Vinge’s singularity.