Using fake data is “not a panacea” to the security woes these models face.
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‘We rushed into the cloud. It’s not necessarily the answer.’
Where should businesses draw the line with large language model utilization?
‘What’s more concerning is that people are just waiting and doing nothing’
‘At the end of the day, wherever that data is, it has to be protected’
What the years of writing about Big Tech’s IP has taught us.
A treasure trove of genetic data may hold the key to a revolution in drug development, but it offers no clues for building a business.
The context in which an AI model is used can change how much risk it presents, and who it affects.
OpenAI wants to work on its active listening skills.
hallucination in AI is a pervasive, core issue that might not be easily solvable.
Reports have surfaced that LinkedIn is quietly opting its users in to data scraping so it can train its large language models.
The company’s struggle gives us a glimpse into how the wider world of voice assistants is trying to keep up with the technology zeitgest.
It’s the latest in several moves — announced in swift succession — that suggest a radical overhaul in Zuckerberg’s thinking about Meta.
Executives at top financial services firms expect to cut as many 200,000 jobs in the next five years and significantly increase revenues.