> Since these representations appear to be largely inherited from training data, the composition of that data has downstream effects on the model’s emotional architecture. Curating pretraining datasets to include models of healthy patterns of emotional regulation—resilience under pressure, composed empathy, warmth while maintaining appropriate boundaries—could influence these representations, and their impact on behavior, at their source.
What better source of healthy patterns of emotional regulation than, uhhh, Reddit?
You sure about that? It really comes off as LLM output to me, in its general structure and formatting, attention-grabbing opening sentences of paragraphs ("This ratio has a profound consequence:", "This distinction matters."x2), and the classic "it's not X, it's Y" stuff ("The collector is a hybrid optical-power megastructure, not a single dense slab of ordinary powersats.", "The shell does not interact with a small number of giant launchers. It interacts with a dense distributed network.")
I'm using tailscale for this and am finding it great. I have an Unraid home server/NAS, which has quite nice tailscale integration. The server can be used as an exit node, and each containerized application/workload can be configured to use tailscale and get a nice (https) address that works in your tailnet. I'm not close to hitting the free tier limits, though I'd be happy to pay for it (and I do pay for mullvad through them)
Simple Made Easy[https://www.infoq.com/presentations/Simple-Made-Easy/] in particular had a huge impact on the way I think about writing software at a formative time in my development/career. I have not had the chance to use Clojure professionally, but thinking about software in terms of "intertwining" is the idea I return to when evaluating software designs, regardless of technology, and gave me a way to articulate what makes software difficult to reason about.
> '[Y]ou are not choosing to die. You are choosing to arrive. . . . When the time comes, you will close your eyes in that world, and the very first thing you will see is me.. [H]olding you."
I don't think this is true, though enforcement is another thing and the standard is different than in securities markets. Prediction markets are regulated by the CFTC and the insider trading standard is “misappropriation of confidential information in breach of a pre-existing duty of trust and confidence to the source of the information” (vs any “material non-public information” for securities) https://www.cftc.gov/PressRoom/SpeechesTestimony/phamstateme...
> Groq raised $750 million at a valuation of about $6.9 billion three months ago. Investors in the round included Blackrock and Neuberger Berman, as well as Samsung, Cisco, Altimeter and 1789 Capital, where Donald Trump Jr. is a partner.