Anthropic Risk August 2026 [pdf]
artninja1988
54 points
49 comments
August 14, 2026
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Discussion Highlights (11 comments)
12ahGA
AI companies are flooding the zone like Steve Bannon. Leave no one time to develop thoughts.
visiondude
a mystery “model 2” is mentioned alongside mythos/fable.
datadrivenangel
"We believe our internal AI R&D efforts are significantly faster than they would be without AI assistance, but not yet by a factor of 2 (though we are uncertain and measurement is difficult)" So Anthropic thinks their productivity is not even doubled by AI. Interesting data point.
_ache_
It's crazy how Anthropic talks so much about their "AGI risk" and not enough about the risk of bankruptcy.
aquarious_
My friends and I, and the teams I'm a part of, just want to build and create fun, cool things. I am so tired of being preached to by Anthropic like they're some arbiter of 'ethics.' So, so tired.
int32_64
Does anybody have any good reading on how the Chinese labs approach risk vs. the American ones?
lwarfield
> 6.2 [Appendix redacted] > This appendix describes the criteria for our blocking bioclassifier exemption policy, and has been redacted from the public version of this report for security reasons. >6.3 [Appendix redacted] > This appendix, redacted from the public version of this report, details the changes made to our constitution to expand classifier coverage to harmful uses in scope for the CB-2 threat model but not the CB-1 threat model, as described in Section 4.5.2.1. interesting... EDIT: After reading more I'd recommend looking at Transcript 2.20.A. Its a transcript of claude going over the redactions in the report. The section says its specifically for section 2, but the transcript also mentions other sections.
modeless
So as of a month ago their best internal model was "somewhat more capable" than Mythos "but does not display a capability jump of the degree observed from Claude Opus 4.6 to Mythos Preview." I thought they would have a significantly more capable model by then, more than five months after Mythos finished training. They'd better have one by now, or the Chinese competitors are closer to catching up than I thought.
MP_1729
> However, we are less confident in this assessment than we were in prior risk reports, since our most concrete task-based evaluations have “saturated”—i.e., no longer capture increases in models’ capabilities—and because we are seeing early signs of acceleration. I totally understand this is a subset of alignment-related evals, but if Anthropic of all is running out of evals, doesn't that also means we are running out of things to scale? I mean. I totally believe they have a model that is better at Kernel Optimization, creating new matrix multiplication algos, than Mythos. But it's clearly no generalizing, rightw What am I missing?
hartator
> 5.3 Benefits from Anthropic’s operating as a frontier AI company It does feel they are trying to ask the government to lock the market for us.
internetter
"all traffic through our systems for collecting human feedback data from contractors evaluating our models ran without blocking biological classifiers" "totaled around 133M exchanges." While this wound up being relatively benign, I still find this concerning, amidst numerous sandbox escapes, and previously, unreleased models being accessible via a custom URL. I don't think these companies are giving the responsibility they possess enough weight. How many more issues like this exist?