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AI NewsTrump bought SpaceX shares two weeks after blockbuster IPO

Trump bought SpaceX shares two weeks after blockbuster IPO

11:08 AM IST · August 25, 2026

Trump bought SpaceX shares two weeks after blockbuster IPO

President Donald Trump bought as much as $50,000 worth of SpaceX shares on June 23, according to a financial disclosure first reported byReuters, two weeks after the record-setting IPO of Elon Musk’s company. It’s not clear what price Trump paid for the shares, but by that point they had fallen from their highs of over $200. SpaceX shares were trading in the mid-$150 range on June 23. At the end of trading on Monday, shares closed at the IPO price of $135, possibly putting the president’s stake underwater. Trump and Musk are close, despite a brief falling out last summer that involved the businessman accusing the president of withholding theDepartment of Justice’s fileson Jeffrey Epstein because of how often Trump’s name appears in them. SpaceX has been hoovering up anincreasing amount of government contractsand benefiting from the Trump administration’s deregulatory stance, according to a recent Wall Street Journal analysis. White House spokesman Davis Ingle told Reuters that the president’s stock portfolio is managed by third-party financial institutions and replicate “recognized indexes, such as the Schwab ​1000.” SpaceX lobbied popular indexes to change their rules to allow for faster inclusionahead of its IPO, which means many people likely own some of the company’s stockeven if they don’t know it.

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AI Firms Could Face ‘Significant’ Liability If Their Systems Are Unsafe, Meta CEO Mark Zuckerberg Warns

AI Firms Could Face ‘Significant’ Liability If Their Systems Are Unsafe, Meta CEO Mark Zuckerberg Warns

In recent days, the rapid development of highly capable AI systems has given rise to a debate over how quickly the technology should advance, as well as the need for oversight to manage its risks. Meta CEO Mark Zuckerberg has now weighed in on the discourse, arguing that AI companies have strong incentives to ensure their systems are safe. The executive also outlined Meta's approach to AI development and safety.

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Iceland-based Treble raises $18 million for its voice simulation platform

Iceland-based Treble raises $18 million for its voice simulation platform

Voice AI has emerged as one of the hottest sectors in AI, with investors pouring in billions of dollars to serve use cases ranging from automating customer support and sales calls to creating meeting notetakers and developing AI smart glasses that use voice as the primary interaction surface. Meanwhile, AI labs are quickly releasing models, and hardware makers are trying to create the best experience for consumers to interact with devices. All of this new technology needs testing and a feedback loop for improvement. An Iceland-based startup,Treble, is positioning itself to be at the center of the voice AI industry by creating a simulation platform that can cater to model makers, robotics companies, and consumer hardware makers. The company, founded in 2020 by acoustic engineers Finnur Pind and Jesper Pedersen, has raised $18 million in an extension of its Series A funding led by Paladin Capital Group, with participation from existing investors KOMPAS VC, Frumtak Ventures, EIC, and Omega ehf. It received an investment of $12 million in 2024, bringing its total raise to date to over $40 million. The startup counts Amazon and Logitech as customers. Treble has a few verticals related to simulation and data. For voice AI companies, it has a synthetic data generation platform that could be used for speech enhancement, noise suppression, and model training. It also evaluates voice AI models in different conditions to provide feedback to labs. Earlier this year, it partnered with Hugging Face to launch a benchmark for speech recognition modelsacross different realistic conditions. “Audio AI is really a data challenge, and this is where the most opportunities to enable next-generation models and hardware lie. To date, pretty much all sound-related AI has been made from recordings and data scraped from the internet. We believe that accurate physics simulation can be an alternative way to create data for sound,” Pind told TechCrunch. The startup also focuses on hardware design and testing from a voice perspective. For instance, it works with headphone and speaker companies for virtual prototyping to help them understand how their product might sound. It could also test how a smart speaker can understand commands based on the positioning of the speaker. Lately, Treble has ventured into providing simulation testing for smart glasses and AI devices. Pind said that the company is excited to work on wearables that could enhance hearing for users. “I’m really excited about the next generation of these devices like headphones and smart glasses that can enable [a feature like] superhuman hearing. That’s an area where you can really just hear better in challenging acoustic environments. Maybe you are in a restaurant, and you only want to hear people within two meters of range, or you are in a seminar, and want to mute people around you,” he said. Treble aims to increase its focus in the physical AI space, including robotics, automotive, and drone companies, to enable sound-based functions for them through testing and simulation. Francois Ruether, VP of Paladin Capital Group, told TechCrunch that Treble’s platform, which simulates different models and devices, stands out; the platform’s importance will increase as it gets involved in more areas. “Our thesis is that, as more products depend on understanding sound, this infrastructure becomes increasingly valuable across voice AI, wearables, robotics, and physical AI. Customers retain ownership of their models, products, and development workflows, while benefiting from a shared foundation of a simulation-native acoustic infrastructure layer,” Ruether said.

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Databricks Rolls Out GPT-6 Astra to All 3,500 Engineers

Databricks Rolls Out GPT-6 Astra to All 3,500 Engineers

Databricks engineers with access to Astra increased their overall coding spend by around 60% compared with the baseline.

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India’s AI Talent Problem Is No Longer About Engineers. It’s About Who Can Deploy AI

India’s AI Talent Problem Is No Longer About Engineers. It’s About Who Can Deploy AI

A joint whitepaper by AIM Research and FDE Academy, The Forward Deployed Engineer Talent Landscape in India, analyses the growth of FDEs in India.

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Trump bought SpaceX shares two weeks after blockbuster IPO