> "Harvard must implement a comprehensive mask ban with serious and immediate penalties for violation, not less than suspension."
Wow. Imagine being sick with something serious like pneumonia and having to decide whether to get everyone around you sick, or risk being suspended from school.
While I am not a friend of a mask ban, universities should absolutely teach their students to stay home when sick. Going to work sick is an abomination that should be rooted out. And it is a nice liberal cause too.
If you're seriously ill, you should get treatment, not walk around hoping that a piece of cloth will save others from exposure to whatever it is you're coughing up.
What if they have pollen or other allergies that masks help mitigate? What if there’s a huge forest fire that’s polluting the outside air with acrid smoke?
There are so many possible scenarios. What if the campus is infested with face-huggers from the award-winning movie Alien? What if there are still Jewish students and faculty members who need to be harassed anonymously?
I'll leave those to people more familiar with the subject. And as for the pneumonia scenario, I reiterate that the only sane course of action is to seek treatment, not to walk around public spaces, masked or not.
It's shown in the link below. It's kind of crazy that they have this huge corporate announcement with 50 logos for something that under the hood seems sort of arbitrary and very fragile, and is probably very sensitive to things like exact word choice and punctuation. There will be effects like bots that say "please" and "thank you" to each other getting measurably better results.
Hi there (I work on a2a) - can you explain the concern a bit more? We'd be happy to look.
A2A is a conduit for agents to speak in their native modalities. From the receiving agent implementation point of view, there shouldn't be a difference in "speaking" to a user/human-in-the-loop and another agent. I'm not aware of anything in the protocol that is sensitive to the content. A2A has 'Messages' and 'Artifacts' to distinguish between generated content and everything else (context, thoughts, user instructions, etc) and should be robust to formatting challenges (since it relies on the underlying agent).
Some of the research I want to show you is, although technically public, very relevant for malware development, especially in worming payloads that are spread by exposed agents to other exposed agents. It's not secret information but I don't want to make it easy for script kiddies to skip 4+ years of studying engineering and the associated learning about ethics. Can I contact you directly in some way? Thanks.
The sensitivity to prompts and response quality are related to an agent's functionality, A2A is only addressing the communication aspects between agents and not the content within.
Wow. Imagine being sick with something serious like pneumonia and having to decide whether to get everyone around you sick, or risk being suspended from school.