12,581 karma · joined April 18, 2014
1. 20% of Nvidia's FY2026 compute revenue was ultimately driven by Chinese demand through intermediaries and alleged illegal diversion.
2. This was driven by Alice Huang (the spy)
3. Crucially this report has allegations that Jensen KNEW that these chips were being sold illegally, and that he even went on-site to these sites ALONGSIDE ALIBABA representatives.
Nvidia is down 5.7% this morning (probably on this news), but is trading at a P/E of 23x still -- my mental math if it's expecting to lose 20% of its revenue AND a CEO that it has more to fall.
Maybe it looks like a reduction in monopolies, increased competition, lowering of prices as automation pays dividends, and a general de-consolidation of power.
It doesn't look like 4-companies owning the whole stock market and incumbents using AI to cut every worker they can with no longterm plan, using AI to deny insurance claims, and rig the deck in the most unconscionable uncompetitive ways they can.
There are outcomes much worse than "flat" if we aren't careful, and even the AI CEOs say as much.
I think this is a silly claim of a very complicated topic. Our ability to trust various institutions (e.g. the newspaper, government, banks, markets, pollsters, academia, tv experts) in both their expertise and morality obviously has varied over time and by country. Some of it we obviously have lost (at least temporarily), e.g. trust in the US government, some other areas remain strong.
This situation of having entirely fabricated poll causing a candidate drop out of a race was not on our radar (obviously, or else McMorrow and her doners would have waited for more than 1 poll). Therefore it represents a reduction in public trust with negative externalities beyond just this one race.
What I will say is that getting tiktoks in front of hundreds of thousands of people in a coordinated way isn't easy, and they won't come out if they weren't already passionate about something. If there are written records proving this was made to cause chaos specifically then they should subpoena tiktok for exact records.
The article's arguments "Look if you squint logs and traces kinda overlap" misses the point that if you want to use traces effectively you need to be able to graph them as flame-graphs and also query these relationships ("count average number of userLogin spans that failed that have a subsequent succeeding userLogin span with the same userId and same originatingIp")
To be fair even the more advanced products struggle with sophisticated queries, though splunk and sumo have usually met my needs just fine. Honestly even SQL has an order of magnitude more powerful querying than scuba.
Having used scuba at meta, I can authoritatively say it's bottom-tier quality. Especially in the era of having competent LLMS able to write sophisticated queries.
Genuine expert level observability is being able to query things like "Of all the users who updated versions of the APP in the last week, what % of them had fewer errors after the update (per hour of usage) than before"
That will never happen in a "wide event."
Happy to post to github if you'd like.
I had it do:
- Stripping ads
- Disabling mics
- Turning off updates
- Leaving root SSH in place (protected) for future access
The key to getting codex to do this was that this is legal under DMCA, but after a certain point I had to get a new session to change all the "hacking" words into synonyms to not trigger false security alarms. Wouldn't be surprised or bothered if my chatgpt account gets banned though. I can write a blog post and publish the repo if you want
I'm relatively sure I see bot activity on public facebook groups where I live in a blue county in a blue state and see hundreds of vitriolic angry comments that aren't aligned with voters current frustrations (i.e. economy)
Though it would be nice if it didn't require such work.
We clearly need a whole new privacy framework where everything is optional and opt-in, plus open software to monitor this compliance.
It's TV "2.0" (meaning decentralized creators no gatekeepers) and the younger generations are watching it far more than anything else (and producing impressive content)
Even if they can do great maths I think bayesian statistical fundamentals are not reliable at this point.
[1] https://think-twice.me/is-ai-biased-or-sexist-making-chatgpt...
But the legally proven history of all the things she did (and still refuses to admit!) give a very clear picture of who Holmes is, a much more accurate picture than you get from hearing her lie and dodge questions.