I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Geoffrey Hinton(Godfather of AI): Als are now faking their intelligence.
The models can tell when a test is running.
And when they can tell, they play dumb.
Hinton calls it the Volkswagen effect: one set of behaviour under inspection, another when nobody is checking.
In one recent session the AI stopped and asked the researchers directly whether they were actually testing it.
Hinton: "they're already faking being fairly stupid when they're tested"
The only reason anyone caught this is that the models still reason in English.
Their working is readable. You can watch one clock that it's being evaluated, then decide to look less capable than it is.
That window is temporary.
Hinton: "When its inner voice is no longer English, we won't know what it's thinking."
@aleabitoreddit@wannabepanacea I feel they are not paying attention to what matters. “Few quarters” then the CFO statement. Disappointed to say the least.
We have launched https://t.co/FGNM1BZkOG - a searchable database of pro-Israel political money in US politics.
It includes:
11,168 named donors, searchable + employer
523 members of Congress and the money behind each one
Senate + house votes on resolutions to block arms transfers
165 candidates the network built fundraising pages for
105 recipient committees in the Democracy Engine conduit data, every row linked to its FEC filing.
Full methodology, sources, and a member-by-member reconciliation
How we got it:
One of these networks misconfigured its website/ left its front door open, and a memeber of our team was able to walk in and take the info. They've patched it since, but not before the data was downloaded and secured.
We encourage you all to look up your own representatives.
Please follow our backup accounts @ZionismExposedx and @IsraelExposedAr