We've implemented aggressive desktop monitoring and blocked downloads from Oracle to avoid the Java subscription. Where it's needed, an OpenJDK distribution is used.
Where we must still use Oracle database, in some small, bespoke legacy use cases (heavy PL/SQL), we've moved to RDS with license included to avoid the direct relationship with Oracle. I get it, a big RAC customer will have a harder time, but they'll also likely have alternatives (e.g. SAP implementation to HANA).
I know of at least one vendor (Hyland) who's dropping Oracle support and providing a migration path to MS SQL. Shame not a FOSS database, but still a trend away from Oracle.
The team defined requirements, ran an RFP and demo process and did site visits to clients of each company. The SAP reference clients weren't exactly thrilled with SAP, the product was too complex and too expensive, but it was rock solid and SAP was a reliable partner. The Oracle reference clients had the usual complaints about features and flexibility, but their real beefs were that Oracle was a predatory and untrustworthy partner.
Oracle made claims in their RFP response that were proven false in the demos and site visits, confirming the claims from reference clients about the company's ethics. In contrast, SAP's RFP responses were validated by the team's due diligence.
So management decided to go with SAP. In response, a senior Oracle person tracked down all of the company's board members and made outrageous claims of incompetence against the company's executives, and alluded ominously about bad faith and conflicts of interest.
Oracle was completely hostile and off the rails when they figured out they lost the deal. I will never, ever do business with Oracle.
Unfortunately, while the SAP application seemed solid, the organization went with their HANA database which was astronomically expensive, and had a bad habit of returning different and provably incorrect results to the same deterministic SQL query every time it ran, and then the entire database would crash for all users.
We can't start clutching our pearls now as if programmatic mass surveillance hasn't been running on all cylinders for over 20 years.
Don't get me wrong, we should absolutely care about this, everyone should. I'm just saying any vague gestures at imminent privacy-doom thanks to LLMs is liable to be doing some big favors of inadvertently sanitizing the history of prior (and still) egregious privacy offenders.
I'm just suggesting more "Yes and" and less "pearl clutching" is all.
They’re certainly special both within the individual but also as a species on this planet. There are many similar to human brains but none we know of with similar capabilities.
They’re also most obviously certainly different to LLMs both in how they work foundationally and in capability.
I definitely agree with the materialist view that we will ultimately be able to emulate the brain using computation but we’re nowhere near that yet nor should we undersell the complexity involved.
I use it for throwaway prototypes and demos. And whenever I’m thrust into a language I don’t know that well, or to help me debug weird issues outside my area of expertise. But when I go deep on a problem, it’s often worse than useless.
This is a common intuition but it's provably false.
The fact that LLMs are trained on a corpus does not mean their output represents the median skill level of the corpus.
Eighteen months ago GPT-4 was outperforming 85% of human participants in coding contests. And people who participate in coding contests are already well above the median skill level on Github.
And capability has gone way up in the last 18 months.
I bet it will be called "Real Photos" or something like that, and the pictures will be signed by the camera hardware. Then iMessage will put a special border around it or something, so that when people share the photos with other Apple users they can prove that it was a real photo taken with their phone's camera.
How "real" are iPhone photos? They're also computationally generated, not just the light that came through the lens.
Even without any other post-processing, iPhones generate gibberish text when attempting to sharpen blurry images, they delete actual textures and replace them with smooth, smeared surfaces that look like a watercolor or oil paintings, and combine data from multiple frames to give dogs five legs.
So, login without mullvad, turn it on after that and it should work.
The question is "if reddit can block mullvad why can't China".