Interesting and definitely worth reading but I’m still not sure I understand what went on.
The Inside Story of Microsoft’s Partnership with OpenAI
The companies had honed a protocol for releasing artificial intelligence ambitiously but safely. Then OpenAI’s board exploded all their carefully laid plans.
Imagine how screwed up this must have been before they deemed it ready for pubic release?
https://www.platformer.news/p/amazons-q-has-severe-hallucinations
Amazon’s Q has ‘severe hallucinations’ and leaks confidential data in public preview, employees warn
Some hallucinations could ‘potentially induce cardiac incidents in Legal,’ according to internal documents
Three days after Amazon announced its AI chatbot Q, some employees are sounding alarms about accuracy and privacy issues. Q is “experiencing severe hallucinations and leaking confidential data,” including the location of AWS data centers, internal discount programs, and unreleased features, according to leaked documents obtained by Platformer.
How could I miss this?
https://teachprivacy.com/webinar-breaking-into-privacy-law-strategies-for-entry-level-lawyers-blog/
Webinar – Breaking Into Privacy Law: Strategies for Entry-Level Lawyers Blog
In case you weren’t able to make it to my recent webinar with Jared Coseglia (TRU Staffing Partners), you can watch the replay here. We had a great discussion about strategies for entering the privacy field.
Perspective.
https://spectrum.ieee.org/personal-ai-assistant
When AI Unplugs, All Bets Are Off
Run natively on edge devices, personalized AI assistants will get wild, and weird, soon
The next great chatbot will run at lighting speed on your laptop PC—no Internet connection required.
That was at least the vision recently laid out by Intel’s CEO, Pat Gelsinger, at the company’s 2023 Intel Innovation summit. Flanked by on-stage demos, Gelsinger announced the coming of “AI PCs” built to accelerate all their increasing range of AI tasks based only on the hardware beneath the user’s fingertips.
Intel’s not alone. Every big name in consumer tech, from Apple to Qualcomm, is racing to optimize its hardware and software to run artificial intelligence at the “edge”—meaning on local hardware, not remote cloud servers. The goal? Personalized, private AI so seamless you might forget it’s “AI” at all.
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