Artificial Intelligence
Elon Musk is building the ‘most powerful Artificial Intelligence training cluster in the world’
News release from The Deep View
Elon Musk’s xAI has ended talks with Oracle to rent more specialized Nvidia chips — in what could have been a $10 billion deal — according to The Information. |
Musk is instead buying the chips himself, all to begin putting together his planned “gigafactory of compute.” |
The details: Musk confirmed in a post on Twitter that xAI is now working to build the “gigafactory” internally. |
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xAI isn’t the only one trying to build a supercomputer; Microsoft and OpenAI, also according to The Information, have been working on plans for a $100 billion supercomputer nicknamed “Stargate.” |
Why it matters: The industry is keen to pour more and more resources into the generation of abstractly more powerful AI models, and VC investments into AI companies, as we noted yesterday, are growing. |
But at the same time, concerns about revenue and return on investment are growing as well, with a growing number of analysts gaining confidence in the idea that we are in a bubble of high costs and low returns, something that could be compounded by multi-billion-dollar supercomputers. |
Artificial Intelligence
US House report exposes Biden admin push to use AI for censorship of ‘misinformation’
From LifeSiteNews
In a recent report the U.S. House Subcommittee on the Weaponization of the Federal Government included proposed steps to ensure that future federal governments are not using AI for censorship, such as new legislation and decentralized development.
For a while now, emerging AI has been treated by the Biden-Harris administration, but also the EU, the UK, Canada, the UN, etc., as a scourge that powers dangerous forms of “disinformation” – and should be dealt with accordingly.
According to those governments/entities, the only “positive use” for AI as far as social media and online discourse go, would be to power more effective censorship (“moderation”).
A new report from the U.S. House Judiciary Committee and its Select Subcommittee on the Weaponization of the Federal Government puts the emphasis on the push to use this technology for censorship as the explanation for the often disproportionate alarm over its role in “disinformation.”
We obtained a copy of the report for you here.
The interim report’s name spells out its authors’ views on this quite clearly: the document is called, “Censorship’s Next Frontier: The Federal Government’s Attempt to Control Artificial Intelligence to Suppress Free Speech.”
The report’s main premise is well-known – that AI is now being funded, developed, and used by the government and third parties to add speed and scale to their censorship, and that the outgoing administration has been putting pressure on AI developers to build censorship into their models.
What’s new are the proposed steps to remedy this situation and make sure that future federal governments are not using AI for censorship. To this end, the Committee wants to see new legislation passed in Congress, AI development that respects the First Amendment and is open, decentralized, and “pro-freedom.”
The report recommends legislation along four principles, focused on preserving American’s right to free speech. The first is that the government cannot be involved when decisions are made in private algorithms or datasets regarding “misinformation” or “bias.”
The government should also be prohibited from funding censorship-related research or collaboration with foreign entities on AI regulation that leads to censorship.
Lastly, “[a]void needless AI regulation that gives the government coercive leverage,” the document recommends.
The Committee notes the current state of affairs where the Biden-Harris administration made a number of direct moves to regulate the space to its political satisfaction via executive orders, but also by pushing its policy through by giving out grants via the National Science Foundation, once again, aimed at building AI tools that “combat misinformation.”
But “[i]f allowed to develop in a free and open manner, AI could dramatically expand Americans’ capacity to create knowledge and express themselves,” the report states.
Reprinted with permission from Reclaim The Net.
Artificial Intelligence
World’s largest AI chip builder Taiwan wants Canadian LNG
Taiwan Semiconductor Manufacturing Company’s campus in Nanjing, China
From the Canadian Energy Centre
Canada inches away from first large-scale LNG exports
The world’s leading producer of semiconductor chips wants access to Canadian energy as demand for artificial intelligence (AI) rapidly advances.
Specifically, Canadian liquefied natural gas (LNG).
The Taiwan Semiconductor Manufacturing Company (TSMC) produces at least 90 per cent of advanced chips in the global market, powering tech giants like Apple and Nvidia.
Taiwanese companies together produce more than 60 per cent of chips used around the world.
That takes a lot of electricity – so much that TSMC alone is on track to consume nearly one-quarter of Taiwan’s energy demand by 2030, according to S&P Global.
“We are coming to the age of AI, and that is consuming more electricity demand than before,” said Harry Tseng, Taiwan’s representative in Canada, in a webcast hosted by Energy for a Secure Future.
According to Taiwan’s Energy Administration, today coal (42 per cent), natural gas (40 per cent), renewables (9.5 per cent) and nuclear (6.3 per cent), primarily supply the country’s electricity.
The government is working to phase out both nuclear energy and coal-fired power.
“We are trying to diversify the sources of power supply. We are looking at Canada and hoping that your natural gas, LNG, can help us,” Tseng said.
Canada is inches away from its first large-scale LNG exports, expected mainly to travel to Asia.
The Coastal GasLink pipeline connecting LNG Canada is now officially in commercial service, and the terminal’s owners are ramping up natural gas production to record rates, according to RBN Energy.
RBN analyst Martin King expects the first shipments to leave LNG Canada by early next year, setting up for commercial operations in mid-2025.
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