It’s not just the edge but the corners where the finger accommodation is for opening the lid.
There’s a sharp corner there is unnecessary.
7,337 karma · joined August 3, 2012
Recent public projects include:
- Contextify: https://contextify.sh (A tool to assist CLI-based agentic programming workflows)
– FileKitty: https://github.com/banagale/FileKitty (a prompt engineering utility)
– Chief of Staff: https://chiefofstaffhq.com (a pre-generative AI text-to-speech SaaS)
I also very occasionally write at: https://banagale.com
Feel free to say hello, rob @ the domain above.
There’s a sharp corner there is unnecessary.
And codex still uses phrases and syntax in prose ostensibly for the user as though they forgot people are actively reading this stuff.
Product is unquestionably where Anthropic excels. It is what carried it through periods where its thinking model lagged.
I realize the company barely has time to cash checks, but failing to handle small fry reasonable charge disputes should be handled appropriately.
For example, the 27 year old openbsd remote crash bug, or the Linux privilege escalation bugs?
I know we've had some long-standing high profile, LLM-found bugs discussed but seems unlikely there was speculation they were found by a previously unannounced frontier model.
So, it has been convenient to not have hard stops / allow for extra but I still try to /clear at an actual 25% of the 1M anyhow.
This is in contrast to my use of the 1M opus model this past fall over the API, which seemed to perform more steadily.
Some for sure, but I wouldn’t count on it for interpreting price elasticity.
I still believe in the premise because of the action on Facebook buy nothing groups.
Can anyone speculate on any rational if not good reasons for not solving this problem yet?
I don't think any org doing this is necessarily being deceptive, so long as there's some reasonable basis for the chosen comparable(s).
For example, comparing a new iPhone to a prior Android phone might make sense if the install base is considerably large and Apple is targeting the cohort for user acquisition. (~"These benchmarks are not for you.")
The community will always run the numbers and get the clicks for the benchmarks not filled in by the 1st party. I noticed what appeared to be some movement from Apple in content they've produced to get ahead of this with recent product content.
- Lattner tweeted a link to this: https://www.modular.com/blog/day-zero-launch-fastest-perform...
- Unsloth prior post on gemma 3 finetuning: https://unsloth.ai/blog/gemma3
It now behaves like Claude, attaching the paste as a file for upload rather than inlining it.
This affected page UX some and reduces the cost of the browser tab some.
At some point, maybe still true, very long conversations ~froze/crashed ChatGPT pages.
As has been amply explained, the API pricing per token is far more for equivalent use when maximizing a subscription plan.
It isn’t really a massive hurdle to deal with this full SPA load check. If one is even aware it exists they already have the skills to bypass it anyway.
I get why people would “what about” the automation inherit in what OpenAI is doing but that is a separate matter.
Other businesses and applications can put into place their own hurdles and anti bot practices to protect the models they’ve leaned into—-and they have been.
FWIW, oculus represented a true competitive advantage. And I don’t think it was a coincidence that the Supernatural acquisition was temporarily blocked by the feds.
I think Apple was genuinely worried that fitness was (or still is) a killer use case and threat to Vision Pro.
The delay was enough to make FB lose focus / pivot again into AI.
I think the people who care about that game and used the types media channels FB monitored was too small to show up on the company's radar.
But I'm not convinced Zuck was truly all in on VR. I thought the switch to Meta was a hasty attempt to rebrand under fire of a whistleblower / document leak cycle.
Despite all the money spent on VR labs, I always thought the pivot was much more of a Philip-Morris -> Altria thing than Dunkin' Donuts -> Dunkin'.
But the entire SWE apparatus can be handled.
Automated A/B testing of the feature. Progressive exposure deployment of changes, you name it.
For example, there is one that was a making sort of Macy’s thanksgiving day-style parade floats.
And you could pick virtually any content type and see this interpreted as “real” floats.
It did not require a ton of effort, for example you could reply to the above example existing with the prompt “do this, but have the float theme be ‘meet the feebles’”
And if you know of that film and recognized the AI’s interpretation of it in that context and it was half decent it was entertaining.
Not all “trends” if you can call them that were so simple to do well with.
Often the prompts needed to be elaborate and required multiple generations to really get a feel for if you were on the right track.
I think they did have something here and probably someone will do it again and it will work.
It is interesting to see a flip in attitude toward GitHub.
For example, early TikTok had the Boss Walk.
Sora had no big content trends split into many micro trends in some established ~universe.
And even “product engineers” often do not have experience going from zero to post sales support on a saas on their own.
It is a skill set of its own to make product decisions and not only release but stick with it after the thing is not immediately successful.
The ability to get some other idea going quickly with AI actually works against the habits needed to tough through the valley(s).
I expect that from something guiding the market, but there have been times where stuff changes, and it isn't even clear if it is a bug or a permanent decision. I suspect they don't even know.
That said, my first pair failed out of Apple Care and resulted in a full cost replacement. The APM sub is littered with stories of the BT module failing.
I’m sure it is ludicrous to some but I often measure value by utility and I go through entire workdays wearing this product.
I also use it to automatically retrieve page responsiveness behavior in complex web apps. It uses playwright to adjust the width and monitor entire trees for exact changes which it writes structured data that includes the complete cascade of styles relevant with screenshots to support the snapshots.
There are tools you can buy that let you do this kind of inspection manually, but they are designed for humans. So, lots of clickety-clackety and human speed results.
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My first reaction to seeing this FP was why are people still releasing MCPs? So far I've managed to completely avoid that hype loop and went straight to building custom CLIs even before skills were a thing.
I think people are still not realizing the power and efficiency of direct access to things you want and skills to guide the AI in using the access effectively.
Maybe I'm missing something in this particular use case?
Presuming he holds keys to vast wealth, the calculation would have shifted over time. Especially once he was serving his original sentence again starting a year ago.
Another consideration is that many go to jail longer with no upside once getting released.