lakelady

@lakelady.mstdn.social.ap.brid.gy

blah, blah, blah, witty remark, blah, blah, insightful comment, blah, blah, blah. "If you can't laugh it's not worth it" ~ my mom note to self: seek joy & beauty […] [bridged from https://mstdn.social/@lakelady on the fediverse by https://fed.brid.gy/ ]

I’m losing followers talking about AI, but we are at a critical inflection point with this technology and how it’s regulated. (Hint: it isn’t.) There are very real and potentially catastrophic risks on our current trajectory. Contrary to the popular narrative on here, it is not all hype.

Malware injection continues to be a major concern of mine. The strength of the internet is its connectivity. It’s also its greatest vulnerability—and ours, since we are dependent on this infrastructure. A model with internet access does not have to replicate itself in whole to do inestimable damage.

One petabyte is 1,000 terabytes of storage capacity. A single petabyte is an ENORMOUS amount of data. Of course, it follows that companies are using AI to analyze that amount of data. So we’re dealing with a situation in which AI is analyzing the safety of AI, which presents its own set of issues.

⚠️ Top AI companies and security researchers are investigating TENS OF THOUSANDS of problematic incidents involving frontier models. Not dozens. “The sheer volume of incidents…indicate that the problem is orders of magnitude more complex than what is currently publicly known and disclosed.”

Scoop: Top AI companies probing tens of thousands of security incidents

The massive scale of security incidents points to control problems for AI companies.

axios.com

The speed at which things are happening in the field of AI is no longer linear, as mathematician Terence Tao recently warned. The people making the technology do not fully understand how it works now—and the implications of how it will play out in the material world are impossible to predict fully.

Man standing in front of a white board saying “It’s extremely non-linear dynamics”

“We don't yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine.”

Anthropic 
@AnthropicAI
X.com
Claude has discovered a previously unknown enzyme system hidden in the
DNA of bacteriophages. Beside the enzyme's gene sits a long array of repeating DNA —a structure that looks somewhat similar to CRISPR.
We don't yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use.

“The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and…genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out.”

Dario Amodei 
Al
@DarioAmodei
X.com
Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out.

Anthropic CEO Dario Amodei famously said the goal of AI model development is to create a “country of geniuses in a data center.” I cannot help but think about the difference between GENIUS and WISDOM—and the potential implications of creating a critical mass of the former without the latter.

We have thousands of years of religious, philosophical, and legal traditions trying to “align” humans and make our behavior “safe.” Now the AI industry is trying to speed-run toward those goals with AI. As we have often failed with humans, we should expect and plan for failures with AI.

Kokotajlo is a bit of an anxious speaker, but his knowledge is deep and concern earnest. He provides the best and most accessible explanation of neural network technology that l've come across so far, which is important to understand if you want to grasp why the tech is opaque even to its creators.

Some users begin to imagine they have a relationship with the “chat bot.” THERE IS NO RELATIONSHIP. Or, to be more precise, there is only the idea of a relationship within the mind of the human user. The phenomenon is similar to brand loyalty, and that sense of relationship is a marketing ploy.

Recognizing their remarkable capabilities isn’t “AI psychosis.” Attributing human qualities to the technology is. Every output of these models is a result of computation. Because they use language we associate with humans, it’s easy to project human qualities onto them—but they’re still computers.

Will Stancil@whstancil.bsky.social · last wk.

Oh yeah, this is clearly part of Bluesky’s absolute willful ignorance on the subject. “Typing a prompt into ChatGPT” has become an ideological litmus test; as a result many won’t do it. Doing minimal investigation and discovering its remarkable capability is reframed as “getting AI psychosis.”

One reason the Effective Altruist/Rationalist cult isn’t worried about climate change is that they believe that humans—or, rather, our post-human AI successors—will colonize other planets and they value the lives of those future post-humans more than people alive now and in the foreseeable future. 🧵

Josh Marshall@joshtpm.bsky.social · 2w ago

In my ongoing new adventure through the primeval forests of “rationalism” and “longtermism” I was watching this presentation by Nick Beckstead on creating a balanced ethical framework based on humans eventual colonization of the Virgo Supercluster. From which one can draw that every second …

Because of this paradoxical tension, it follows that full “alignment” of advanced AI models is very likely NOT possible. Safeguards SHOULD be a central part of model design, but these models are being created to solve old problems in new ways. By definition, there will be unexpected outcomes.

One challenge in designing complex systems like advanced AI models to be “safe” is the inherent friction and uncertainty that greater complexity involves. Every safeguard against possible destructive outcomes also serves as a potential barrier to positive breakthroughs. Paradoxical tension exists.