They provide serverless access, and if you use fireconnect it's also easy to hook the models up to e.g. codex which allows for fairly clean comparisons
I think they provide the bare model (no filter) but I might be wrong, haven't tried using it for security research yet
I also noticed this on 2 accounts - did not take as careful notes as you did unfortunately. But I'm fairly confident - both of these are accounts where I care about the interactions not being used for training.
What's kind of still an open question for me is if the toggle automatically also applies to my Codex CLI use on the same account, or if that data is still silently being used in some way.
After this happened, I deleted all my ChatGPT history (even though I'm not sure how much it helps at this point), but for Codex I still haven't really found any way to do the same, I can still load my past sessions even after archiving them.
1 - I worked abroad and wasn't really familiar with the systems there. Gemini made me aware of a kind of pension account that I could withdraw from when I left the country netting me a few thousand dollars.
2 - Working as a tech contractor, charging by deliverable, Codex/Claude Code speed me up and it doesn't seem to have significantly dropped rates in the market.
3 - Also contractor related: I had Claude do a quick legal sanity check of my contracts, and it warned me of some clauses that I'd be better off removing/changing/refining. I was not aware of these nuances and would not have paid a lawyer for this as the contract was too small, but the changes were accepted by the client and reduced my risk exposure meaningfully.
4 - Learning a foreign language, I use it to check my draft emails and messages. It corrects them but also serves a tutoring role providing feedback, improving both the accuracy of my communication and my rate of language acquisition.
5 - Gemini Deep Research helped me narrow down tent models that met my fairly specific set of requirements. Very happy with the tent I ended up buying, from a brand that was not on my radar before.
Yes I was very surprised after the whole "scandal" around ChatGPT becoming too sycophantic that there was this massive change in tone from the last preview model (05-06) to the 06-05/GA model. The tone is really off-putting, I really liked how the preview versions felt like intelligent conversation partners and recognize what you're saying about useful pushback - it was my favorite set of models (the few preview iterations before this one) and I'm sad to see them disappearing.
Many people on the Google AI Developer forums have also noted either bugs or just performance regression in the final model.
https://ppc.cs.aalto.fi/ covers some of this (overlapping with the topics the person you responded to mentioned, but not covering all, and including some others)
If the only moat really will be the scale of computation resources, that's great news for users, because it will be an extremely competitive market where prices will be driven down very effectively.
I suspect that model quality/vibes and integrations will play a role as well though.
Just start. Most shirt construction is based on a two-piece collar, a yoke, and button front. I started with a cheap pattern (McCalls 2447) that covered those aspects, and started modifying from there, but any dress or sport shirt pattern will give you the same basic construction.
Any machine will do. I had borrowed a cheapo Singer Simple machine from my father in law to make some pillows. Reverse lever broke on my second shirt, made a new one with some D-shaft and coupler from Mcmaster-Carr and still using it.
First shirt was recognizable as a shirt and sort of fit, second shirt was better, and by the third I had mostly dialed things in. Like any skill, practice makes perfect. Mostly sewn woven fabric, except for some TOS tunics with the velour knits. Made a pair of pants that I wasn't happy with and intend to loop back to that one of these days. Thing is, wild fabric is more appropriate for shirts than pants, so that is where I have focused.
Not the commenter you asked but I inherited my mother's sewing machine and decided to make a ball cap by seam ripping apart one that was wearing out but fit really well.
I traced the pieces onto new fabric (waxed cotton) and reused the existing plastic brim insert. It's still in use and I enjoy telling people I made it although there a few things I'd do differently. I watched a few yt videos on constructing a cap for tips on things like machine settings, top stitching, fastenings etc then just winged it after I felt like my theoretical knowledge had plateaued.
It would undoubtedly have been cheaper to buy a new cap, but since I'm unemployed, long term burned out and also newly-diagnosed with ADHD, some things are just gut feeling without making a great deal of sense these days.
Now as things wear out I'm cutting them apart to study the pieces and make new versions. It's surprising what you can make. I just made some quilted slippers for my kid by tracing around his feet and using scrap leather I had lying around. My next project is a pair of trousers. Weirdly, as a recovering perfectionist, I find myself a lot more open to making prototypes and learning from mistakes than I ever was in my career.
They provide serverless access, and if you use fireconnect it's also easy to hook the models up to e.g. codex which allows for fairly clean comparisons
I think they provide the bare model (no filter) but I might be wrong, haven't tried using it for security research yet
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