Voyager is a fascinating tool – like
Star Trek come true. You can call people in other countries, and through
Translate GPT, get instantaneous translation. This should get more publicity. Of course, it uses token costs, so I can understand why these guys don't want too much traffic.
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The enthusiasm regarding the capabilities and usefulness of large-scale AI in health care is understandable. Nevertheless, the massive environmental, economic, and social costs should be considered while developing and using them. Improving the performance and clinical value of AI without overlooking its costs is important for balancing the sustainability of large-scale AI and its usefulness in health care.
People are already complaining about how much datacenters spew out in pollution. Wait until the healthcare industry starts getting seriously involved. Yikes!
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The first and unsurprising observation is that being useful on these tasks requires your agent to have context, which means: relatively unrestricted access to your private data. You know about your invitees’ availability because they texted it to you. You know about Mike’s allergy because you’ve talked about it with him or jotted it down somewhere. (This could mean iMessages, email, contacts, or personal notes.) Re-entering all of this data into an agent would be annoying and time consuming and the whole point of an agent is to save you time. The winning personal assistant doesn’t win just because it’s smart: it wins because it “already knows” the things you need it to know, like a personal assistant who sits next to your desk.
Allow me to dig into the details just a bit deeper. The agent might scan your messages database to learn the parameters needed to schedule your dinner. Or, in a more token-efficient system, it might read your messages continuously and store a “memory” that distills useful facts that it might need later. Both can be functionally equivalent, but one produces an artifact that may be highly sensitive. And keep in mind that the set of facts that might be useful is very broad. For example, Mike’s allergy is one of those facts. But there are many others. For example, the private conversation you had where you discovered that Mike was having an affair is potentially another fact that could be stored or accessed by a system. Memory or not, this data will all be within the agent’s view, and you’ll have to hope that it knows which one to operate on.
All of a sudden, the AI agent knows about your confidential text messages and incorporates that into its memory, and things you might regret having sent once is not part of the agent's permanent memory.
OpenClaw can leak your secrets, too.
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We see Siri not as a separate chatbot, just an unintegrated place you go and chit-chat, but rather as an integral, conversational tool that you use in the moment, deeply integrated into your experience.
Who needs this stuff, really? This is just like when doctors have AI software foisted upon them that they don't really need.
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Speaking of doctors,
here's a radiology article where they looked at AI models. They refer to early models like
Claude 3.5 Sonnet as a
vLLM. I did a double-take. That model is not a vLLM (virtual LLM). I think what the authors are thinking of are
multimodal LLMs. And the abbreviation for vision LLMs is
VLM.
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First Human Receives Experimental Therapy to Reverse Cellular Aging. The drug is
ER-100, which is an adenovirus vector that delivers genes coding for the
Yamanaka factors,
Oct4, Sox2, Klf4. The adenoviral vector is activated with intravenous doxycycline. Sounds cool, but it sounds too simplistic. Can't believe that reversing age will be that simple. We'll see.
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The Nerdy Escorts Cashing In On Silicon Valley’s AI Boom. We call it prostitution – Silicon Valley nerds called is
VaaS (vagina as a service). Makes sense. Boy, the money those girls can make! But I bet a lot of their clients are H-1B visa holders! 🤣 Money is money, though.
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