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I see mentions of Gemini as a fast growing alternative to ChatGPT. Isn't anyone troubled by the fact that for consumers there is no way to keep your data from being used for model training if you want to maintain history of your Gemini chats.

ChatGPT respects privacy and allows for maintaining history while also opting out of using ones data for model training


I trust Google ad monopoly to keep my data actually secure. They have a great track record of not sharing their datasets with anyone because this gives them an edge pushing ads down people throats. Google is honest about what they doing. Google also not going away anytime soon so they also not going to sell off their datasets to highest bidder.

And I don't trust Sam Altman and AI.com at all since their whole thing was built on lies. They could start regaining the trust by changing their company name.


It's not just about protecting data in the old sense - typically from other corporate entities. It would suck if your information somehow made it into a generally available model that then leaked some of that anyone asking a question


> I trust Google...

Yup, yeah, sure. The company that attempts to open your password-protected zip files. Let us not give it a free pass either.

There is no good incumbent.


You just made that up, huh?


https://grahamcluley.com/shouldnt-gmail-zip-files-password-i...

Its been a while so i had trouble finding it (but Grok obliged)

Moreover its always the edge cases that people are 'OK' with, but again if they can do it (setup the infrastructure) for one thing they can do it for anything, and it makes 'trusting' them seem naive. Since trusting was the original statement.


This shouldn't be a surprise - capitalism always overshoots. Anything worth investing in will generally receive too much investment in because very few people can tell where the line is.

And that's what causes bubbles but at this point it should be clear that AI will make a substantial impact - at least as great as the internet, likely larger


As FB IPO’d at 100bn, and marched to over 1T, when would you have considered it a bubble? You can ask the LLM if you need to … catch my drift?


I'm not sure I see the point. The march to $1T took 10 years with available financial statements.


You made the point for me. That 100bn doubled every 2-3 years. It wasn’t a bubble, but it absolutely looked like one. This will be a bitter lesson too.


shouldn't the comparison be with gpt4o or 4.5 and not 4.1 or o3


a well written postmortem and it raised my confidence in their product in general


I think this is the best april fools article I've seen


Very cool to have his kids closely involved in his work


Its cyclical, a lot of companies over hired and are trying hard to cut down


Cyclical processes and appallingness aren’t mutually exclusive. In fact they may well be related.


about time. you also need a clawback provision since it can take a while for flaws to be detected and the execs could be in new jobs by then.


As a newish user of Apple (Macbook and the IPad mini) it was not as big a leap from Android and Windows as I had feared. I still live in Google services including Gboard on the IPad mini and apart from klutzing around with system settings occasionally the mini feels "not terribly different" from the android devices I use. The Macbook is a bigger challenge though.

I only picked the mini because I couldn't get the same performance with that form factor in Android.

I only entertained the mini because I was forced to use a Macbook for work and realized that apart from annoyances with keyboard shortcuts and system settings I could continue to live in a Firefox + Chrome + Edge + Google services ecosystem.

I will now definitely consider Apple hardware if I don't find a good fit in the Android + Windows world


And yet, in Apple’s preferred world, they suck up 30% of all of the revenue made by developers who develop for their devices. The Mac model may not exist in 10 years if Apple can get rid of it and replace it with a locked down App Store from which they charge rents.


It would be interesting to feed it a formal language specification of some language it hasn't seen and then ask it write code and see how it does.

That could be a test of reasoning and reading comprehension


I've been thinking about a benchmark designed this way for a while. It doesn't even need to be code, particularly, it could be basic reasoning problems. The key is that you define a new, random language that has never before been seen (maybe it has statistical similarity to existing languages, maybe not), create a translation key, then ask a question in that language.


Reasoning vs being a completion engine (I could make a guess at how well that would work)


Reasoning is a form of completion (logical), the problem is that LLMs aren't language agnostic in their learned semantic reasoning.


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