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Discuss – Do AI agents deserve all the hype they are getting?

4•MicroWagie•4h ago•1 comments

Ask HN: Anyone Using a Mac Studio for Local AI/LLM?

48•UmYeahNo•1d ago•30 comments

LLMs are powerful, but enterprises are deterministic by nature

3•prateekdalal•8h ago•6 comments

Ask HN: Non AI-obsessed tech forums

29•nanocat•19h ago•26 comments

Ask HN: Ideas for small ways to make the world a better place

18•jlmcgraw•21h ago•21 comments

Ask HN: 10 months since the Llama-4 release: what happened to Meta AI?

44•Invictus0•1d ago•11 comments

Ask HN: Who wants to be hired? (February 2026)

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Ask HN: Who is hiring? (February 2026)

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2•netfortius•16h ago•1 comments

AI Regex Scientist: A self-improving regex solver

7•PranoyP•23h ago•1 comments

Tell HN: Another round of Zendesk email spam

104•Philpax•2d ago•54 comments

Ask HN: Is Connecting via SSH Risky?

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Ask HN: Has your whole engineering team gone big into AI coding? How's it going?

18•jchung•2d ago•13 comments

Ask HN: Why LLM providers sell access instead of consulting services?

5•pera•1d ago•13 comments

Ask HN: How does ChatGPT decide which websites to recommend?

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Ask HN: What is the most complicated Algorithm you came up with yourself?

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Ask HN: Is it just me or are most businesses insane?

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123•blenderob•4d ago•122 comments

Kernighan on Programming

170•chrisjj•5d ago•61 comments

Ask HN: Anyone Seeing YT ads related to chats on ChatGPT?

2•guhsnamih•1d ago•4 comments

Ask HN: Does global decoupling from the USA signal comeback of the desktop app?

5•wewewedxfgdf•1d ago•3 comments

Ask HN: Any International Job Boards for International Workers?

2•15charslong•18h ago•2 comments

We built a serverless GPU inference platform with predictable latency

5•QubridAI•2d ago•1 comments

Ask HN: Does a good "read it later" app exist?

8•buchanae•3d ago•18 comments

Ask HN: Have you been fired because of AI?

17•s-stude•4d ago•15 comments

Ask HN: Anyone have a "sovereign" solution for phone calls?

12•kldg•4d ago•1 comments

Ask HN: Cheap laptop for Linux without GUI (for writing)

15•locusofself•3d ago•16 comments

Ask HN: How Did You Validate?

4•haute_cuisine•2d ago•6 comments

Ask HN: OpenClaw users, what is your token spend?

14•8cvor6j844qw_d6•4d ago•6 comments
Open in hackernews

Ask HN: Why is Apple's voice transcription hilariously bad?

7•keepamovin•1mo ago
Why is Apple’s voice transcription so hilariously bad?

Even 2–3 years ago, OpenAI’s Whisper models delivered better, near-instant voice transcription offline — and the model was only about ~500 MB. With that context, it’s hard to understand how Apple’s transcription, which runs online on powerful servers, performs so poorly today.

Here are real examples from using the iOS native app just now:

- “BigQuery update” → “bakery update”

- “GitHub” → “get her”

- “CI build” → “CI bill”

- “GitHub support” → “get her support”

These aren’t obscure terms — they’re extremely common words in software, spoken clearly in casual contexts. The accuracy gap feels especially stark compared to what was already possible years ago, even fully offline.

Is this primarily a model-quality issue, a streaming/segmentation problem, aggressive post-processing, or something architectural in Apple’s speech stack? What are the real technical limitations, and why hasn’t it improved despite modern hardware and cloud processing?

Comments

bryanrasmussen•1mo ago
>they’re extremely common words in software, spoken clearly in casual contexts

extremely common phrases in software are extremely uncommon phrases for most of the world.

bryanrasmussen•1mo ago
so there should probably be some sort of jargon-user probability setting that would be evaluated by your phrase usage.

first off there must be some phrases that are more commonly used in development than otherwise that it gets correct, a large number of those indicates high chance of being software jargon user. Furthermore all these other phrases are not in themselves common non-software usage, thus if you are using a lot of phrases that might be, with lower probability but still relatively high probability, software jargon this could be set.

Now we also get to personal behavior tracking, you are on dev sites a lot chance of using software jargon instead of non-software jargon goes up.

Do you use computer for development, chances go up. Of course lots of reasons why they would not track this to keep people from being pissed but still, possible way to improve from tracking.

finally allowing people to create profile - which I don't know if they do because I don't use.

Of course this kind of software dev jargon workflow would also help other identifiable subgroups with specific jargon sets, like lawyers, or accountants, etc. etc.

All these things of o

keepamovin•1mo ago
Yeah, all of these are good ideas. And I think they should also utilize the obviously available to them abundant context of any message that you’re sending.
keepamovin•1mo ago
OK, fair point. My examples were taken from my immediate previous transcript however this is not a intermittent issue. This is consistent. Terrible hilarious performance.

That’s sad. I tried to prove it terrible in this comment by using transcript here, hoping to show you some examples, but the transcript is essentially accurate. Besides, the sad said humming above and the humming homonym.