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With Bedrock, Amazon enters the generative AI race

Amazon is throwing its hat into the generative AI ring. But rather than build AI models entirely by itself, it’s recruiting third parties to host models on AWS today unveiled Amazon Bedrock, which provides a way to build generative AI-powered apps via pretrained models from startups including AI21 Labs, Anthropic and Stability AI. Available in a “limited preview,” Bedrock also offers access to Titan FMs (foundation models), a family of models trained in-house by AWS.

AWS today unveiled Amazon Bedrock, which provides a way to build generative AI-powered apps via pretrained models from startups including AI21 Labs, Anthropic and Stability AI. Available in a “limited preview,” Bedrock also offers access to Titan FMs (foundation models), a family of models trained in-house by AWS.

“Applying machine learning to the real world — solving real business problems at scale — is what we do best,” Vasi Philomin, VP of generative AI at AWS, told TechCrunch in a phone interview. “We think every application out there can be reimagined with generative AI.”

TeraWulf Announces it Has Deployed BITMAIN Miners at the Nuclear-Powered Nautilus Facility

“TeraWulf generates domestically produced Bitcoin powered by 91% nuclear, hydro, and solar energy with a goal of utilizing 100% zero-carbon energy.”


EASTON, Md.—()—TeraWulf Inc. (Nasdaq: WULF) (“TeraWulf” or the “Company”), which owns and operates vertically integrated, domestic Bitcoin mining facilities powered by more than 91% zero-carbon energy, today announced that the Company is deploying solely BITMAIN Technologies Ltd. (“BITMAIN”) manufactured mining equipment to fill its 50 MW of capacity at the nuclear-powered Nautilus bitcoin mining facility.

“BITMAIN’s carbon neutral strategy and best-in-class mining equipment make BITMAIN an ideal partner to scale our zero-carbon digital infrastructure at Nautilus” Tweet this

The Nautilus facility represents the first behind-the-meter bitcoin mining facility of its kind, directly sourcing reliable, carbon-free, 24×7 baseload power from the 2.5 GW Susquehanna nuclear generation station in Pennsylvania. TeraWulf recently commenced mining operations at Nautilus and expects its full share in phase one of the facility – 50 MW and 1.9 EH/s – to be online by May. The Company has the option to add an additional 50 MW of bitcoin mining capacity at the Nautilus facility, for a total of 100 MW, which TeraWulf plans to deploy in future phases.

Alibaba plans to roll out A.I. bot rival to ChatGPT

CNBC’s Eunice Yoon reports on news that Alibaba is releasing a chatbot similar to ChatGPT. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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What Is The Price of a Quantum Computer In 2023?

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.

Age Reversal: 10 Ways It Will Change The World

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This video explores Age Reversal and 10 ways they will change the world. Watch this next video about digital immortality: https://youtu.be/sZdWN9pbbew.
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Ex-Google CEO Eric Schmidt warns pausing ChatGPT-like AI will benefit China

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.


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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.

Billionaire Richard Branson’s Virgin Orbit Files For Bankruptcy After Failed Satellite Launch

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.

AI chip race: Google says its Tensor chips compute faster than Nvidia’s A100

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.

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