srvmshr

The Reddit banning algorithm is strange in its own way.

In the past, I had tried to maintain a two accounts setup by policy. My main account (focused on camera, optics and photography etc) got gilded several times, with some posts appearing on their 'Popular' feed. I have used a secondary account(s) on occasions which engages in politics, tech, immigration etc. It has got flagged for contentious debates and I have been Reddit-banned once on one of them (for political criticisms and arguments against right wing; not my finest hour).

Whenever I tried to create a secondary since that incident, it gets banned immediately by their algorithms. It is insanely invasive in how they are able to detect someone. But I am surprised they never touch the gilded one - even if the same device/app was used for registration.

A theory to that feels there is more to than meets the eye in the way they use their filters to ban accounts. They are more lenient to older accounts (having Awards) or the ones which have got recognized in some way (appearing on Main Feed / Popular), but willing to discard the ordinary. Their user management policy is definitely intriguing

Slightly tangential question: Does having a spruced up Mac Studio help learning the ropes of model tuning and/or development as good as having a CUDA device?

Pardon my ignorance about formats, but between XML & JSON, what would have made them choose XML? As I understand there is lot more tooling, standards & existing software examples around JSON for project & records management (e.g. VSCode's records as settings.json for example). Wasn't XML spearheaded by Microsoft but mostly used by Microsoft today?

Calvin & Hobbes have always been such a joy. In childhood, it was a reflection of all the naughtiness you could come up with. As a middle aged adult today, I look at the bigger meanings of those simple adventures. Reading a few stories is a reminder that happiness could be found in simple things & vivid imaginations.

Bill Watterson's dedication to not commercialize it preserves the charm about 'simple life, simple joys' of our childhood. He could have raked in the money, but his integrity is admirable. It isn't easy to be in his position & make such difficult choices to preserve the ethos of his art.

Generally it is a good practice to keep v.[N] and [N-1] in active deployment. But lately a lot of policies from Anthropic are confusing at best, and at worst plain subscriber-hostile.

If costs are drowning them, they should rather be a bit more honest about the messaging and hike prices of their lower ($20 / $100) tier by ~$10 and enforce stricter limits (optionally).

I liked 4.5 and 4.6, but none of them are available outside of using API now - and thats a bummer given the 2~2.5X overall costs

It is perhaps better for Anthropic to do a price hike e.g. $25 or $30 for Pro with a clear/honest messaging e.g. "Running costs are high, price hike is unavoidable" than resorting to these tactics.

These shenanigans are earning them no respect. The market is already annoyed on model serving QA issues, and now (recently) Opus limits. They don't want to lose to OpenAI - understandable - but these shortcuts won't earn them anything either.

During my bachelors, I was using a Casio FX-991ES+. It was a beautiful calculator compared to the hand-me-down Fx-82 VPAM. And pretty popular with the folks of my age that time.

During and after grad school, I was using Mathematica or NumPy/Sympy quite a bit. But it felt like using an overpowered system to do basic assignments. Think of taking a Bugatti Veyron for grocery shopping. I indulged myself with another physical calculator - this time a Casio FX-CG50 with a color display and python support. I use it whenever I do self-paced courses or reading the occasional stats/ML paper.