I make an iOS app that uses this API heavily for transcribing diverse audio of varying bitrate and recording quality. The audio often contains music, multiple speakers, sound effects. SpeechAnalyzer almost always gets it.
It can struggle with proper nouns but will return something phonetically similar.
My main gripe is that it requires a separate model download per language. I understand the why they did this (to save disk space). But it makes multi-lingual audio hard to transcribe unless you know ahead of time the languages in the audio.
As an app developer the biggest win from using Apple's model is I don't have to bundle it in my app so my app looks much smaller. If a user has many transcription apps each one could have their own model. If Apple's model is used only one copy is needed.
I want a distributed social network on top of email. Emails don’t have to be human readable. A client could be built to pass and share posts among a network via email messages. Add some clever cryptography and you can build trust networks and keep out spam more reliably.
The longer I participate in the economy the more it starts to feel like the end stages of a game of monopoly. There is nothing left to own unless you already are wealthy and the only way to get ahead is luck.
Opus 4.7 seems smarter not wiser. More knowledge, maybe, but less grit. It often has been asking me to wrap it up or just be happy with current state, instead of working out a problem.
The secret reason they are doing this is because governments want to be able to identify everyone online everywhere it matters at all time. They want to strip anonymity from computing.
Apple and Google can now credibly claim to governments to have nearly ubiquitous computing platforms that they can guarantee do not run any software that is not approved or antithetical to the goals of authorities. This makes the device safe for storing things like government IDs. OSs and Browsers will be required to present these IDs or at first just attest to them.
Before posting online, renting a server, using an app you will have to idenitfy yourself using your phone or similarly locked down PC (i.e. mac).
The introduction is under the guise as always of protecting the children. In reality they are removing your rights to privacy and free speech.
For now I would be happy if it just explored the problem space and identify the choices to be made and filtered down to the non-obvious and/or more opinionated ones. Bundle these together and ask the me all at once and then it is off to the races.
IMHO, LLMs are better at Python and SQL than Haskell because Python and SQL syntax mirrors more aspects of human language. Whereas Haskell syntax reads more like a math equation. These are Large _Language_ Models so naturally intelligence learned from non-code sources transfers better to more human like programming languages. Math equations assume the reader has context not included in the written down part for what the symbols mean.
I disagree. I have a successful software product that I vibe coded using claude code starting last June. It does something novel and useful that wasn't yet offered on the App Store or any app on Android.
I am not going to say what it is because all of the AI haters will immediately flock to leave it bad reviews and overwhelm my support systems with bad faith requests (something that has already happened).
I've been writing software for 25 years, I know what I am doing. Every bug I shipped was my fault either because I didn't test well enough or I did not possess enough platform knowledge to know myself the right way to do things. "Unknown unknowns"
But I have also learned better ways to do things and fixed every bug using AI tools. I don't read the code. I may scan it to gain context and then tweak a single value myself, but beyond that I don't write or read code anymore.
Its not a magical few shot prompt then reap profits machine. I just feel like a solopreneur ditch digger who just got a lease on a new CAT excavator. I can get work done faster I can also do damage faster if I am not careful.
We need something like SETI@home/Folding@home but for crawling and archiving the web or maybe something as simple as a browser extension that can (with permission) archive pages you view.
The degradation does not need to be in the inference it can be in how often inference is used.
It is closed source but the algorithms that decide what Claude code does when, could behave differently when the API responses are slower. Maybe it does fewer investigatory greps or performs fewer tasks to get to “an” answer faster and with less load.
Apple's locked down ecosystem is enabling the rollout of Digital ID which will eventually be required for Internet access and age verification law. This is why Google is locking down their ecosystem now too.