Trump’s trade and environment policies are a disaster for carmakers

Falling operating margins, revised sales estimates, and scaled-back forecasts.

An ill wind blows through the automotive industry. Yesterday, after the market closed, Rivian reported its results for the second quarter of 2025, and they weren't great. Unlike the last two quarters, Rivian did not make a gross profit, and it's estimating it will have a larger loss this year than first predicted. A day earlier, it was Lucid's turn: The Saudi-backed EV startup also missed analyst estimates for the quarter, and Lucid says it will build fewer cars this year than originally planned.

"We delivered solid performance despite a challenging macroeconomic backdrop, thanks to the adaptability and focus of our team in navigating a dynamic environment," said Taoufiq Boussaid in an elegant bit of business-speak that elides the true horror of the situation.

In both cases, the reasons for these underwhelming performances were the same: US government policies. Since taking office in January, President Trump and the Republican Party have been hard at work tearing up environmental regulations and overturning policies meant to encourage EV adoption, as well fomenting a global trade war through the imposition of irrational and costly tariffs.

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Fruit Jam credit card-sized PC with an RP2350B chip launches for $40

Earlier this year Adafruit introduced a credit card-sized computer called the Fruit Jam. It’s the size of a typical Raspberry Pi Model B, but it’s powered by a low-power Raspberry Pi RP2350B microcontroller. This weekend the company announc…

Earlier this year Adafruit introduced a credit card-sized computer called the Fruit Jam. It’s the size of a typical Raspberry Pi Model B, but it’s powered by a low-power Raspberry Pi RP2350B microcontroller. This weekend the company announced that the Fruit Jam was available for purchase for $40. Only a few units were available at […]

The post Fruit Jam credit card-sized PC with an RP2350B chip launches for $40 appeared first on Liliputing.

Fruit Jam credit card-sized PC with an RP2350B chip launches for $40

Earlier this year Adafruit introduced a credit card-sized computer called the Fruit Jam. It’s the size of a typical Raspberry Pi Model B, but it’s powered by a low-power Raspberry Pi RP2350B microcontroller. This weekend the company announc…

Earlier this year Adafruit introduced a credit card-sized computer called the Fruit Jam. It’s the size of a typical Raspberry Pi Model B, but it’s powered by a low-power Raspberry Pi RP2350B microcontroller. This weekend the company announced that the Fruit Jam was available for purchase for $40. Only a few units were available at […]

The post Fruit Jam credit card-sized PC with an RP2350B chip launches for $40 appeared first on Liliputing.

Anzeige: Incident Response professionell umsetzen mit BSI-Certificate

Dieser Workshop bereitet IT-Sicherheitsverantwortliche auf die professionelle Bearbeitung von IT-Sicherheitsvorfällen vor und qualifiziert sie für die Zertifizierung als Vorfall-Experte im Cyber-Sicherheitsnetzwerk des BSI. (Golem Karrierewelt, Server-…

Dieser Workshop bereitet IT-Sicherheitsverantwortliche auf die professionelle Bearbeitung von IT-Sicherheitsvorfällen vor und qualifiziert sie für die Zertifizierung als Vorfall-Experte im Cyber-Sicherheitsnetzwerk des BSI. (Golem Karrierewelt, Server-Applikationen)

Some AI tools don’t understand biology yet

A collection of new studies on gene activity show that AI tools aren’t very good.

Biology is one of the areas in which AI and machine learning approaches have seen some spectacular successes, such as designing enzymes to digest plastics and proteins to block snake venom. But in an era of seemingly endless AI hype, it might be easy to think that we could just set AI loose on the mounds of data we've already generated and end up with a good understanding of most areas of biology, allowing us to skip a lot of messy experiments and the unpleasantness of research on animals.

But biology involves a whole lot more than just protein structures. And it's extremely premature to suggest that AI can be equally effective at handling all aspects of biology. So we were intrigued to see a study comparing a set of AI software packages designed to predict how active genes will be in cells exposed to different conditions. As it turns out, the AI systems couldn't manage to do any better than a deliberately simplified method of predicting.

The results serve as a useful caution that biology is incredibly complex, and developing AI systems that work for one aspect of it is not an indication that they can work for biology generally.

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