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Many experts in the industry predict the cost of quantum computing hardware will continue to decrease over time as the technology advances, making it more accessible to a broader range of businesses and organizations. In a recent talk, the CTO of the CIA Nand Mulchandani noted that the quantum industry is still very early and unit costs are still very high, as we are very much in the research and development stage.

In general, pricing concerns are sure to be influenced by several important factors, including how advanced discoveries in the sector are made, market demand for the technology and competition among quantum computing providers.

The Quantum Insider observes with a keen eye the market trends and technological narrative that is evolving as we speak. When thinking about the price of a quantum computer price in 2023, it’s worth considering the access method, the type of computer and usage requirements.

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Schmidt thinks that if the AI sector doesn’t create protections, politicians will have to step in.

Eric Schmidt, the former CEO of Google, has spoken out against the six-month ban on AI development that some tech celebrities and business executives demanded earlier.

“I’m not in favor of a six-month pause, because it will simply benefit China,” said Schmidt, Google’s first CEO.


Wikimedia Commons.

A halt supported by tech leaders like Elon Musk and Steve Wozniak, would “simply benefit China,” the former Google CEO told the Australian Financial Review on Thursday.

Richard Branson’s Virgin Orbit has filed for bankruptcy in the U.S. after an eleventh-hour scramble to secure further funding failed, the satellite company announced on Tuesday, marking the end of a sudden spiral that followed a botched high-profile launch attempt out of Britain in January.

Virgin Orbit has filed for Chapter 11 bankruptcy protection in the Bankruptcy Court for the District of Delaware, documents show.

Virgin Orbit said it had failed to secure sufficient funding to stay in business and the decision comes less than a week after it laid off most of its staff and ceased operations.


Virgin Orbit, which laid off most of its staff last week, struggled to secure funding after a failed satellite launch from the U.K. in January.

It also says that it has a healthy pipeline for chips in the future.

Search engine giant Google has claimed that the supercomputers it uses to develop its artificial intelligence (AI) models are faster and more energy efficient than Nvidia Corporation’s. While processing power for most companies delving into the AI space comes from Nvidia’s chips, Google uses a custom chip called Tensor Processing Unit (TPU).

Google announced its Tensor chips during the peak of the COVID-19 pandemic when businesses from electronics to automotive faced the pinch of chip shortage.


AI-designed chips to further AI development

Interesting Engineering reported in 2021 that Google used AI to design its TPUs. Google claimed that the design process was completed in just six hours using AI compared to the months humans spend designing chips.

For most things associated with AI these days, product iterations occur rapidly, and the TPU is currently in its fourth generation. As Microsoft stitched together chips to power OpenAI’s research requirement, Google also put together 4,000 TPUs to make its supercomputer.

Anti AI / AI ethics clowns now pushing.gov for some criminalization, on cue.


A nonprofit AI research group wants the Federal Trade Commission to investigate OpenAI, Inc. and halt releases of GPT-4.

OpenAI “has released a product GPT-4 for the consumer market that is biased, deceptive, and a risk to privacy and public safety. The outputs cannot be proven or replicated. No independent assessment was undertaken prior to deployment,” said a complaint to the FTC submitted today by the Center for Artificial Intelligence and Digital Policy (CAIDP).

Calling for “independent oversight and evaluation of commercial AI products offered in the United States,” CAIDP asked the FTC to “open an investigation into OpenAI, enjoin further commercial releases of GPT-4, and ensure the establishment of necessary guardrails to protect consumers, businesses, and the commercial marketplace.”

The release of ChatGPT in late November 2022 lit a fire under the subdued venture capital sector, a hesitant business community, and the work of academics and regulators. While venture funding decreased by 19% from Q3’22 to Q4’22, AI funding increased 15% over the same period, according to CB Insights’ State of AI 2022 Report (annual AI funding dropped by 34% in 2022, mirroring the broader venture funding downturn). Looking specifically at generative AI startups, CB Insights found that 2022 was a record year, with equity funding topping $2.6 billion across 110 deals.


Everywhere you turn, you encounter generative AI.

OAKLAND, California, March 28 (Reuters) — Artificial intelligence chip startup Cerebras Systems on Tuesday said it released open source ChatGPT-like models for the research and business community to use for free in an effort to foster more collaboration.

Silicon Valley-based Cerebras released seven models all trained on its AI supercomputer called Andromeda, including smaller 111 million parameter language models to a larger 13 billion parameter model.

“There is a big movement to close what has been open sourced in AI…it’s not surprising as there’s now huge money in it,” said Andrew Feldman, founder and CEO of Cerebras. “The excitement in the community, the progress we’ve made, has been in large part because it’s been so open.”