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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Jun 9, 2026
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Read full article about: Google's Gemini 3.5 Live Translate delivers real-time voice translation across 70+ languages

Google releases Gemini 3.5 Live Translate, a real-time audio translation model for 70+ languages. The model detects languages automatically and, according to Google, preserves the speaker's tone, pace, and pitch. It also translates continuously without waiting for a sentence to end.

Gemini 3.5 Live Translate is available now for developers through the Gemini Live API and Google AI Studio, as a preview for businesses in Google Meet, and for all users in the Google Translate app on Android and iOS. In Google Meet, language support jumps from five to over 70 languages with more than 2,000 language combinations. Ride-hailing service Grab is reportedly testing the model for driver-passenger communication. All generated audio is tagged with an inaudible SynthID watermark.

Comment Source: Google Blog
Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Jun 9, 2026
AI in practice
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SpaceX wants to put data centers in orbit, and Musk says it's no big deal

SpaceX wants to launch data centers into space, and Elon Musk is pitching it as a near-trivial engineering problem ahead of the company’s IPO. A first AI satellite would match the output of a single Nvidia GB300 rack. But Google’s own research suggests real AI training would require about 10,000 tightly coupled satellites.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Jun 9, 2026
AI and society
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Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers

A German regional court has ruled that Google is directly liable for the content of its AI search overviews. According to the court, previous limited liability protections for search engine operators don’t apply to AI overviews. In this case, Google’s AI had falsely linked two publishers to fraud and made claims that didn’t appear in any of the linked sources. The ruling could set a precedent for AI-generated content liability worldwide.

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Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Jun 9, 2026
AI and society
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Beijing's $295 billion AI buildout would require 80 percent domestic chips, locking out US suppliers

China plans to invest roughly $295 billion in a nationwide AI data center network over the next five years, Bloomberg reports. At least 80 percent of the technology would come from domestic suppliers like Huawei. Meanwhile, Taiwan is considering making AI chip smuggling to China a criminal offense for the first time.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Jun 9, 2026
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Read full article about: OpenAI says going public is "a complicated set of tradeoffs" and is unsure about the timing

OpenAI has confidentially filed an S-1 registration, the first formal step toward a potential IPO. The company announced the filing on X, saying it expected the news "to leak so we're just announcing it."

What's striking is how defensive OpenAI sounds about what comes next: there's no set timeline, and while the company says some business goals are easier to chase as a private company, it also wants to keep the door open to listing sooner "if that ends up being best," a "complicated set of tradeoffs," as OpenAI put it.

via X

There's another factor that might explain OpenAI's hesitation. Its biggest rival, Anthropic, recently filed its own IPO paperwork with the SEC. The two companies are in a race, and Anthropic looks better positioned right now thanks to a leaner cost structure and faster revenue growth. That likely explains OpenAI's thinking: go public either before Anthropic, which may be hard to pull off, or not right after, where the comparison would hurt.

Comment Source: OpenAI via X
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Jun 8, 2026
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Read full article about: Intel gets a second life as Google and Nvidia explore it as a TSMC backup for AI chips

Google and Nvidia are looking at Intel as an alternative chipmaker as TSMC struggles to keep up with surging demand for AI chips. According to The Information, Google has placed an order with Intel to manufacture more than three million of its AI chips (TPUs) for 2028. Nvidia is testing Intel's manufacturing tech for its upcoming Feynman GPU architecture but hasn't committed to an order yet.

Memory maker SK Hynix is also checking whether its chips work with Intel's packaging. If SK Hynix signs off, it would boost Intel's credibility as a TSMC alternative among other chip designers. Intel's foundry division has been bleeding money and missing deadlines for years, but TSMC's capacity crunch now gives it a rare opening. TSMC CEO C.C. Wei said Thursday that global chip supply won't be able to meet AI-driven demand for years. Intel's stock jumped more than ten percent after the report dropped.

Comment Source: The Information
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Maximilian Schreiner
Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner
Jun 8, 2026
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Read full article about: Most companies are flying blind on AI spending

Only 26 percent of companies have full visibility into their AI costs, a KPMG survey finds.

The shift to token-based billing for AI services is putting finance departments in a tough spot, the Wall Street Journal reports. According to a yet-unpublished KPMG survey, just 26 percent of companies have full visibility into their AI spending. Half have limited oversight, and 22 percent have no transparency at all - or only find out what they've used after the bill arrives.

"It's a new resource that needs to be managed that didn't exist quite that way, and we're seeing exponential growth," Steve Chase, KPMG's global AI lead, told the WSJ.

KPMG is already working with several companies that burned through their annual token and cloud budgets within just a few months. One client saw a sixfold spike in token usage. Gil Luria, head of technology research at D.A. Davidson, expects the problem to hit more companies this year: "A lot of CFOs are going to see their Anthropic bill and freak out this quarter."

Analysts and executives the WSJ spoke with are drawing parallels to the pandemic-era cloud boom. Back then, companies poured money into cloud infrastructure, only to slash spending shortly after.

We took a closer look at why tokens are becoming a key business metric and how companies can prepare in our latest Frontier Radar #3.

Comment Source: WSJ