Is all the investment pumped into AI really worth it?

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Microsoft News

Artificial-Intelligence,Open-Ai,Sam-Altman

With humans outperforming the technology in a recent exploratory trial, equipping such systems with the autonomy to carry out their own actions raises questions of practicality, ethics and philosophy

, the British mathematician who broke the German Enigma encryption code during the second World War, devised what has become known as the Turing test to determine whether a machine is capable of imitating human-like intelligence. Recently an Australian government senate committee used his fabled test to assess whether a generative, the committee held a five-week exploratory trial in which public submissions to a parliamentary inquiry were summarised by both a chosen LLM and by humans.

The results showed that the GenAI summaries performed lower on all criteria compared to the human summaries – thus failing Turing’s test.ESRI disagrees with peers over Budget 2025The reviewers felt that the automated digests often missed emphasis, nuance and context, included incorrect information and missed relevant information, and sometimes introduced irrelevant commentary.

Microsoft’s capital expenditure is up 75 per cent year on year, and the company sunk almost all of its second-quarter profits – some $22 billion – back into cloud and GenAI investment. Alphabet has been less forthright about its GenAI investments, but admits its capital expenditure will be “notably larger” this year than last. Amazon is similarly guarded but has so far spent $30 billion on capital expenditure this year compared to $48 billion in 2023.

), in which several analysts debated the likelihood of economic upside over the next decade from GenAI. The firm concluded there is still scope for investor returns, either because GenAI may eventually deliver or its investment bubble may take some time to burst.are considerable improvements over the old Google, albeit perhaps six to 10 times more expensive to operate. Assistants such as GitHub Copilot aid routine software development but are frustrating when they generate incorrect code.

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