Artificial Intelligence

[macdoc]

she's cute ....

[Tero]

she's cute ....

yeah, I was wondering about that
there are goind to be a lot of Ai 14-year olds

[macdoc]

Been seeing stacks of Macminis and MacStudios on desks housing LLMs

Running advanced, local AI models and agents on Apple Silicon requires massive amounts of unified memory and storage. The M5 Mac Mini (and its predecessors) are heavily sought after for on-device AI operations. To expand their storage and connectivity, users often pair them with an OWC stackable do

Mac Studios Cluster into 1.5TB AI Powerhouses via Thunderbolt
Last updated
Dec 19, 2025
A macOS Tahoe 26.2 update introduced RDMA over Thunderbolt 5, letting Mac Studios share memory at high speeds with low latency. Hardware blogger Jeff Geerling tested four units with Exo 1.0, an open-source tool that shards AI model layers across devices for smooth local inference. Analyst Max Weinbach ran a 1-trillion-parameter model at 25 tokens per second using just 280 watts—far more efficient than comparable NVIDIA GPUs. Developers appreciate the low-power approach for homes and offices, though production workloads may still favor specialized hardware.

https://medium.com/@shreetejghodekar/i- ... cbd7f3c78b

[macdoc]

Damn ....this Ai !!!!

[macdoc]

In March last year, the Department of Cognitive Science at the University of California, San Diego, published the results of an experiment.

It had asked almost 300 people to have a conversation with two mystery partners, one human and one AI, and try to determine which was which.

Many couldn't.

When chatting with OpenAI's ChatGPT GPT‑4.5, which had been asked to adopt a "human‑like persona", it was judged to be human 73 per cent of the time. Meta's Llama 3 was judged to be human 56 per cent of the time.

For the first time, large language models had clearly passed the famous Turing Test, a thought experiment proposed by British mathematician Alan Turing in 1950, to test just how smart these machines could become and whether they could ever think, like us.

https://www.abc.net.au/news/2026-05-30/ ... /106738770

[Brian Peacock]

...The claim that a machine cannot be the subject of its own thought can of course only be answered if it can be shown that the machine has some thought with some subject matter. Nevertheless, "the subject matter of a machine's operations" does seem to mean something, at least to the people who deal with it. If, for instance, the machine was trying to find a solution of the equation

x2 - 40x - 11 = 0

one would be tempted to describe this equation as part of the machine's subject matter at that moment. In this sort of sense a machine undoubtedly can be its own subject matter. It may be used to help in making up its own programmes, or to predict the effect of alterations in its own structure. By observing the results of its own behaviour it can modify its own programmes so as to achieve some purpose more effectively. These are possibilities of the near future, rather than Utopian dreams.

... I believe that in about fifty years’ time it will be possible to programme computers, with a storage capacity of about 10⁹, to make them play the imitation game so well that an average interrogator will not have more than 70 percent chance of making the right identification after five minutes of questioning.

… I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

[Tero]

The people building A.I. fear that we have only a short time before it disrupts the labor force, writes Jasmine Sun in Times Opinion. Some even believe it could create a permanent underclass.
https://www.nytimes.com/2026/04/30/opin ... ffe108c63e

[Brian Peacock]

When AI is doing all the labour then nobody will be able to afford what they're selling. Tech bros are liking the sound of UBI now - mostly because it's a way of passing public money to them via people.

[Tero]

It's abalogous to economists predicting all the growth. Did they ask the ag science people how much food we can grow? What we do when every chicken is killed by a huge epidemic?