Their latest update just introduced indexing for handwriting + text, so now you're able to search through all of your notes! This has been a huge QoL upgrade for me.
I think their point is that all of the content out there is turning in to AI Slop so it won't matter if search changes because the results themselves have already been changed.
why, it just helps with the training data the more images they get so why limit it? plus, dupes are like the cops asking the same question multiple times to see if the results change
I thought it had been bandied about that Deepseek had exfiltrated a bunch of data from OpenAI's models, which was then used to train theirs? Did this ultimately prove untrue? My apologies, I don't always keep up on the latest drama in the AI circles - so maybe that has been well proven wrong.
Sam Altman threw a fit and claimed this, without providing evidence. He's... not exactly a person to trust blindly. Training on other model outputs (or at least doing sanity checks against them) is pretty common, but these models seem very different, DS has prior art, and by all signs this claim makes little sense and is hard to believe.
one man's exfiltration is another man's distillation `¯\_(ツ)_/¯`
you could say they're playing by a different set of rules, but distilling from the best available model is the current meta across the industry. only they know what fraction of their post-training data is generated from openai models, but personally i'd bet my ass it's greater than zero because they are clearly competent and in their position it would have been dumb to not do this.
however you want to frame it, they have pushed the field forward -- especially in the realm of open-weight models.
I have used Github copilot since their beta release in 2023 and I don't find it anywhere near good these days. Automplete was good, but the industry has moved way beyond 2025. Copilot is slightly worse than Cursor which is itself a pretty average tool now. If you use truly agentic code generation, you won't be able to go back to Github Copilot.
Huh, today I learned my wife is not a woman. Who knew?
But for real, my wife is probably the most minimalist person I know. She lived out of a suitcase for years while traveling, and now between us, I'm the one with electronic knick-knacks while her tastes can only be described as spare.
Maybe instead of making sweeping generalizations about what "women" want, we could acknowledge that people of all genders have different preferences about possessions? Some people feel sentimental about objects, others prioritize mobility, and many fall somewhere in between.
Your moving cost estimate is helpful, but the gender stereotyping doesn't add anything to your point about the economics of moving versus replacing possessions.
I had this happen to a client and even though they had both the web and print licenses they were hit with a 50k suite because the font file was malformed somehow. I'm not sure how it shook out but I hope they didn't pay a god damn cent.
Just to clarify—I’ve mostly relied on GPT for translations because Google Translate often produces awkward or incorrect phrasing, especially in nuanced or technical contexts. That’s probably why things like em dashes or certain sentence structures came through. Not intentional, just a side effect of using GPT for accuracy
I know this is somewhat true, but it's just a pity. Proper grammar is something I try to cherish, and I've specifically added – and — to my custom keyboard layout for convenient access.
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