Day: August 27, 2025

• Alicia Silverstone says she went vegan for the animals, but ended up reaping benefits for her health.
• “And I didn’t know that that was going to happen. That was the miracle,” she said.
• She previously said she was “certain” her diet kept her youthful without Botox or fillers.

When Alicia Silverstone went vegan, health wasn’t exactly her goal.

During an appearance on Monday’s episode of the “Sibling Revelry” podcast, the actor spoke about the unexpected benefits a plant-based diet had on her body.

“When I made these changes, yes, I did it for the animals,” Silverstone told host Oliver Hudson.

But what surprised her, she said, was how the change in diet affected her health. Previously, she used a daily asthma inhaler and “had allergy shots twice a week.”

“I was taking antibiotics three times a year, at least, for bronchitis. I had acne. I had all these things that are, like, normal in our society,” Silverstone said.

Once she went vegan, “all of that went away,” Silverstone said.

“And I didn’t know that that was going to happen. That was the miracle. So it drastically changed my life,” the “Clueless” actor said.

Silverstone said she first tried going vegetarian as a child when her older brother mimicked lamb noises when she was served her meal on a flight. It was a moment that made her realize what was on her plate.

“You know, when you’re a kid and you’re just being fed, you don’t think about where your food came from,” Silverstone said. “I was like, ‘This is a lamb? This is actually a lamb?'”

The actor added that her dad supported her efforts to be a vegetarian and even got her a book on the subject. However, her efforts were “short-lived,” she said.

“I just ate a lot of ice cream and french fries, and it didn’t make any sense. Eventually, I saw a documentary on how we get our food, and after that, I was done,” Silverstone said.

Earlier this month, Silverstone said she was “certain” her diet kept her youthful without Botox or fillers, but acknowledged it’s not possible to eat healthily all the time.

“It’s just about having a road map to living my most radiant life while also veering right a little or veering left and then coming back,” she told Byrdie. “We can always aim for perfection; I’m always trying. But I always go back to plant-based food.”

According to the Mayo Clinic, there is no “asthma diet” that can eliminate symptoms. However, it recommends eating plenty of fruits and vegetables, which are a good source of antioxidants that may help reduce lung swelling and inflammation.

But eating a plant-based diet has other health benefits, such as a reduced risk of type 2 diabetes and heart disease. However, those on a plant-based diet should take extra care to consume nutrients like vitamin B12, which is commonly found in animal products.

A representative for Silverstone did not immediately respond to a request for comment sent by Business Insider outside regular hours.

• AI agents can buckle under memory overload — Box CEO Aaron Levie calls it “context rot.”
• “The model will just get very confused and potentially focus on the wrong part of the information,” Levie told Business Insider.
• Split big jobs into fleets of specialized sub-agents instead of relying on one super-agent, he added.

Aaron Levie told Business Insider there’s a catch to AI agents: If you feed them too much information, they start to lose the plot.

The CEO of the cloud-storage giant Box calls this problem “context rot.”

The more data you give the AI model, “it doesn’t necessarily lead to a better outcome,” Levie said on Tuesday. “The model will just get very confused and potentially focus on the wrong part of the information.”

As the task drags on, the model can lose track of what it’s supposed to focus on, leading to worse results, he added.

That flaw happens when agents are overloaded with massive amounts of data in their “context window” — the part of the process where models synthesize information before generating a response.

Instead of trusting one super-agent to handle everything, Levie said the smarter approach is to carve up the work and assign it to fleets of specialized sub-agents.

“You’re going to want to break apart the agents and the context that they have,” he said.

“You’ll have multiple agents, all with a set of goals and a set of contexts that are germane to their particular part of the workflow,” he added.

It’s counter-trend to the Silicon Valley dream of a single AGI overlord. Levie, who cofounded Box in 2005, said the sub-agent model is “definitely going to be the future of large-scale agent systems.”

The CEO also said the key to better AI performance is to give these models “the most accurate information and just the most precise data.”

“You have to be both very precise in your instructions and then you have to give the model an incredible amount of the right context to operate from, but too much context actually, it will do worse with,” he added.

AI agents are far from perfect

Silicon Valley has been buzzing about AI agents, with companies racing to use them for increasingly elaborate, multi-step tasks.

Regie AI’s “auto-pilot sales agents” prospect and follow up with buyers, Cognition AI’s Devin tackles complex engineering work, and Big Four professional services firm PwC has introduced “agent OS” to help different agents coordinate with one another.

But the reality is messy. In theory, agents can solve problems, execute tasks, and get smarter as they learn. In practice, the more steps they take, the more fragile the process becomes.

Researchers have warned that agent errors are prevalent and compound with each step they take.

“An error at any step can derail the entire task. The more steps involved, the higher the chance something goes wrong by the end,” Patronus AI, a startup that helps companies evaluate and optimize AI technology, wrote on its blog.

The startup built a statistical model that found that an agent with a 1% error rate per step can compound to a 63% chance of error by the 100th step.

Still, the company said that guardrails — such as filters, rules, and tools to identify and remove inaccurate content — can help mitigate error rates. Small improvements “can yield outsized reductions in error probability,” Patronus AI said.