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Louis
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Louis
@logicus
philosophy phd candidate, doing science with agents, views my own
San Diego, CA Katılım Ağustos 2015
489 Takip Edilen514 Takipçiler
The technology is already largely here, with consistent trend over many years, disrupting consumer and industry workflows. Demonstrating leaps of progress each year. Building largest companies in the world in the blink of an eye.
And yet likely less than ten people in the world don’t think of it in too small terms.
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trying to make sense of the model. i think the calculus is, access restriction is better than innovation ecosystem / broad adoption for preserving the capabilities edge, and all you need is chips and scaling to preserve that, not some complex feedback loop between performance and adoption.
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Hardly the most important thing going on these days but FWIW I would have called this a blog post, analysis, article, etc., not a paper - undersell/overdeliver etc... bit of a stretch x.com/AnthropicAI/st…
Anthropic@AnthropicAI
We've published a paper that explains our views on AI competition between the US and China. The US and democratic allies hold the lead in frontier AI today. Read more on what it’ll take to keep that lead: anthropic.com/research/2028-…
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if what’s bad is not having paid a cost to write a text then the cost to write the text can just be paid toward the cost of generating and curating the text well, toward engineering a good text, no offense. there are many cases where ai writing is exceptional with marginal human taste and touch applied to it. what’s bad is tasteless ai generated writing. the application of human taste to ai-generated writing might be low cost locally because it’s a dividend of being able to read and write or engineer well, and those skills cost a lot.
eigenrobot@eigenrobot
asking people to read ai-generated text is offensive. this is not because ai text is intrinsically bad. rather, the author has not paid a cost to write the text himself. this cost is a credible signal he finds its communication important. so: not paying that cost is telling
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once you realize that their money lives predominantly in enterprise & the API, you realize that the consumer product heat they get on here is ~mostly void yelling
honestly controlled consumer growth is what they want atm, they almost certainly can't handle OpenAI's consumer MAU
Louis@logicus
hm, is anthropic is deliberately pissing off only the type of user it's happy to lose?
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Louis retweetledi
A preview for Pro users: a new personal finance experience in ChatGPT.
Pro users in the U.S. can securely connect financial accounts, see where their money is going, and ask questions based on the information they choose to connect.
Your full financial picture, now in ChatGPT.
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“to be clear, compute has never been a limiter in our rollout”
Logan Graham@logangraham
A lot of people have been wondering about Mythos, Glasswing, and the vulns we / our partners are fixing. Today, I’m excited for us to start sharing more. (For context, I lead Glasswing @AnthropicAI.) Two independent evaluations this week—from XBOW and the UK AISI—confirm what we've been seeing internally: Claude Mythos Preview is a step change in autonomous cybersecurity capabilities. We need to start preparing fast for a world of models with this level of capabilities. The UK AI Security Institute tested the model we shipped at the launch of Project Glasswing and found Mythos Preview is the first model to solve both of their end-to-end cyber ranges, including one (Cooling Tower) which no model had ever cleared. But attackers (and defenders) have sophistication & cost constraints – Mythos is also the only model that clears every one of their tasks estimated over 8 hours under their deliberately low 2.5M-token cap. XBOW tested it on their offensive security benchmarks, finding "token-for-token, unprecedented precision." It's the only model to succeed at subtle V8 sandbox work. Other Glasswing partners shared similar stories. In a few weeks of testing, Mythos Preview has helped them find many thousands of (estimated) high + critical severity vulnerabilities, sometimes double what they'd normally find in a year. I don't share this to boost Mythos. In fact, this is not about Mythos. It’s about preparing for the coming world of models being better, faster, cheaper, and more creative than some of the best human experts at dual use capabilities. Clearly, we need them supporting defenders as widely as can be done safely – and especially the least resourced ones. Within a year, Mythos will probably look quite dumb (relative to other new models). And others may release openly available or unguardrailed models of Mythos-level capabilities. We started Project Glasswing because capabilities like Mythos Preview's won't stay rare, or stay in careful hands. We are bringing it to defenders as fast as we responsibly can, while working to figure out, for example, the right safeguards and patching & disclosure processes. Also, to be clear, compute has never been a limiter in our rollout. Expect a fuller update on our Glasswing work in the coming days. XBOW report: xbow.com/blog/mythos-of… UK AISI report: aisi.gov.uk/blog/how-fast-…
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No one has things as figured out as you think they do.
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yeah, that’s a good point. glasswing is valid, and it could also work for that. most security reports have said mythos is very good though not always better and that it’s super expensive. maybe govt has to buy it.
for ant i worry about the prosumer peasant rebellion that’s been bubbling. it just seems like they don’t care about users that much. except indirectly via the glasswing hardening pass.
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