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Jon Keegan

Nvidia’s Huang was “wrong” about quantum computing timeline

Oopsie.

In January, Nvidia cofounder and CEO Jensen Huang threw some cold water on everyone’s expectations of an imminent quantum computing revolution.

Huang told analysts that he thought “useful quantum computers” were 15 to 30 years away.

That statement threw quantum computing stocks like D-Wave Quantum, Quantum Computing, IonQ, and Rigetti Computing reeling, with double-digit declines.

At Nvidia’s GTC 2025 event, Huang tried to make amends for his remark, hosting a panel with quantum computing executives. CNBC reported he didn’t realize that there were publicly traded quantum computing companies. Huang said, “How could a quantum computer company be public?”

In Huang’s jargon-filled keynote, he also announced the “Nvidia Accelerated Quantum Research Center,” which will be built in Boston.

That statement threw quantum computing stocks like D-Wave Quantum, Quantum Computing, IonQ, and Rigetti Computing reeling, with double-digit declines.

At Nvidia’s GTC 2025 event, Huang tried to make amends for his remark, hosting a panel with quantum computing executives. CNBC reported he didn’t realize that there were publicly traded quantum computing companies. Huang said, “How could a quantum computer company be public?”

In Huang’s jargon-filled keynote, he also announced the “Nvidia Accelerated Quantum Research Center,” which will be built in Boston.

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Anthropic projections for 2028: Up to $70 billion in revenue, could be profitable by 2027

Anthropic’s Claude API business is doing so well with enterprise customers, the company is upping its revenue forecasts significantly. According to a report from The Information, the company’s robust corporate sales have caused it to revise its most optimistic forecast up to $70 billion in sales by 2028.

Anthropic estimates its API business will be double that of OpenAI’s API sales. OpenAI is currently burning through much more money per month than Anthropic, and reportedly expects to spend as much as $115 billion through 2029, while Anthropic is forecasting that it could be cash positive by 2027, per the report.

Anthropic estimates its API business will be double that of OpenAI’s API sales. OpenAI is currently burning through much more money per month than Anthropic, and reportedly expects to spend as much as $115 billion through 2029, while Anthropic is forecasting that it could be cash positive by 2027, per the report.

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Amazon, which is developing AI shopping agents, doesn’t want Perplexity’s AI shopping agents on its site

Amazon has sent a cease and desist letter to Perplexity AI, demanding that it stop letting its AI browser agent, Comet, make online purchases for users, Bloomberg reports.

Amazon, which is developing its own AI shopping agents and is having “conversations” with builders of third-party agents, accused the AI startup of “committing computer fraud by failing to disclose when its AI agent is shopping on a user’s behalf, in violation of Amazon’s terms of service.”

Perplexity, in response, said Amazon is attempting to “eliminate user rights” in order to sell more ads.

Amazon, which is developing its own AI shopping agents and is having “conversations” with builders of third-party agents, accused the AI startup of “committing computer fraud by failing to disclose when its AI agent is shopping on a user’s behalf, in violation of Amazon’s terms of service.”

Perplexity, in response, said Amazon is attempting to “eliminate user rights” in order to sell more ads.

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Apple to challenge Google Chromebooks with low-cost Mac laptop, Bloomberg reports

Apple is designing a new sub-$1,000 Mac laptop aimed at the education market, Bloomberg reports.

Google’s low-cost Chromebooks currently dominate the K-12 education market, and Apple’s reentry into the education market that it once owned could disrupt the sectors status quo.

According to the report, Apple plans on using the custom mobile chips it currently uses in iPhones to power the more affordable devices.

Apple’s recent earnings demonstrated that iPhone sales have been steady, and the tech giant is looking to find new areas of growth, like services. A low-cost Mac could be popular with consumers, in addition to education buyers.

According to the report, Apple plans on using the custom mobile chips it currently uses in iPhones to power the more affordable devices.

Apple’s recent earnings demonstrated that iPhone sales have been steady, and the tech giant is looking to find new areas of growth, like services. A low-cost Mac could be popular with consumers, in addition to education buyers.

tech

Getty Images suffers partial defeat in UK lawsuit against Stability AI

Stability AI, the creator of image generation tool Stable Diffusion, largely defended itself from a copyright violation lawsuit filed by Getty Images, which alleged the company illegally trained its AI models on Getty’s image library.

Lacking strong enough evidence, Getty dropped the part of the case alleging illegal training mid-trial, according to Reuters reporting.

Responding to the decision, Getty said in a press release:

“Today’s ruling confirms that Stable Diffusion’s inclusion of Getty Images’ trademarks in AI‑generated outputs infringed those trademarks. ... The ruling delivered another key finding; that, wherever the training and development did take place, Getty Images’ copyright‑protected works were used to train Stable Diffusion.”

Stability AI still faces a lawsuit from Getty in US courts, which remains ongoing.

A number of high-profile copyright cases are still working their way through the courts, as copyright holders seek to win strong protections for their works that were used to train AI models from a number of Big Tech companies.

Responding to the decision, Getty said in a press release:

“Today’s ruling confirms that Stable Diffusion’s inclusion of Getty Images’ trademarks in AI‑generated outputs infringed those trademarks. ... The ruling delivered another key finding; that, wherever the training and development did take place, Getty Images’ copyright‑protected works were used to train Stable Diffusion.”

Stability AI still faces a lawsuit from Getty in US courts, which remains ongoing.

A number of high-profile copyright cases are still working their way through the courts, as copyright holders seek to win strong protections for their works that were used to train AI models from a number of Big Tech companies.

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