cootsnuck

7 ms·

61.
by cootsnuck 6mo ago
Interesting. My Pixel 7 transcription is barely usable for me. Makes way too many mistakes and defeats the purpose of me not having to type, but maybe that's just my experience. The latest open source local STT models people are runnin
62.
AI's Elephant in the Room(insidevoice.ai)
2 points by cootsnuck 7mo ago|0 comments
63.
by cootsnuck 7mo ago
How many businesses have the capabilities and expertise to train their own models?
64.
by cootsnuck 7mo ago
Super cool. Love seeing these writeups of hobbyists getting their hands dirty, breaking things, and then coming out on the other side of it with something interesting.
65.
by cootsnuck 7mo ago
Yea, it has been a little shocking to me that the rising narratives around "AI agents everywhere" and "enable the web for AI agents" requires what we've all been wanting for awhile on the web (openness and interoper
66.
by cootsnuck 7mo ago
In OpenAI's own words about semantic_vad: > Chunks the audio when the model believes based on the words said by the user that they have completed their utterance. Source: https://developers.openai.com/api/docs&#
67.
by cootsnuck 7mo ago
I've been working solely on voice agents for the past couple years (and have worked at one of the frontier voice AI companies). The cascading model (STT -> LLM -> TTS), is unlikely to go away anytime soon for a whole lot of reaso
68.
by cootsnuck 7mo ago
Yea, Deepgram Flux is the secret sauce. Doesn't get talked about much. For anyone curious: https://flux.deepgram.com/
69.
by cootsnuck 8mo ago
Except an LLM actually is a piece of software. And the brain is not what you said.
70.
by cootsnuck 8mo ago
It was: https://news.ycombinator.com/item?id=47000263
71.
by cootsnuck 8mo ago
"Good" is subjective. But yes, all wealth creation requires working with other people. No one is an island. And most people are increasingly disturbed by the types of decisions required to amass more wealth than sovereign nations.
72.
by cootsnuck 8mo ago
Yea, it's puzzling to me that this isn't asked of folks like Altman and Amodei in every interview. Maybe it's because Altman would just start shilling his eye scanning orb and start repeating "WORLD COIN" ad nauseum
73.
by cootsnuck 8mo ago
Ed is the anger translator in my head. Good stuff.
74.
by cootsnuck 8mo ago
Fellow Midwesterner?
75.
by cootsnuck 8mo ago
Totally agree. Adult life is just mentally taxing. I'm more curious and more eager to learn now in my 30s than I was in any of my schooling. The learning isn't hard but the energy regulation is. I think it's so easy for peopl
76.
by cootsnuck 8mo ago
They said they're going to invest like $150B over five years. Which is quite a bit smaller than other big tech firms. They have their Granite family of models, but they're small language models so surely significantly less resourc
77.
by cootsnuck 8mo ago
There's no "end" per se, but shifting dynamics. I personally think we are currently seeing a "slow", but noteworthy-in-hindsight, shift in interest and development of alternative options and platforms from the big t
78.
by cootsnuck 8mo ago
They got the current administration to ban state level regulation for them. Not to mention various defense contracts. They are government subsidized.
79.
by cootsnuck 8mo ago
Yup, it is. It's my bread and butter too. So much so I decided to just do it for myself and start my own consulting company. Being a solutions engineer at the right companies means you get to be one of the few people with full end-to-e
80.
by cootsnuck 8mo ago
In my experience, it just entirely depends on the company. Different companies will use the same title and they can have wildly different mixtures of pre vs post sales involvement. My career has all been customer/client facing technica
81.
by cootsnuck 8mo ago
When/If you do want to create one yourself, there are a handful of tech cooperatives out there for inspiration: https://github.com/hng/tech-coops
82.
by cootsnuck 8mo ago
We'll see. The first two things that they said would move from "emerging tech" to "currently exists" by April 2026 are: - "Someone you know has an AI boyfriend" - "Generalist agent AIs that can functi
83.
by cootsnuck 8mo ago
I have not see any reporting or evidence at all that Anthropic or OpenAI is able to make money on inference yet. > Turns out there was a lot of low-hanging fruit in terms of inference optimization that hadn't been plucked yet. That
84.
by cootsnuck 8mo ago
Please drop the link to your course. I'm ready to hand over $10K to learn from you and your LLM-generated guides!
85.
by cootsnuck 8mo ago
But this time is different ! For reasons! Yea, the more things change the more they stay the same. This latest AI hype cycle seems to be no different. Which I think will become more widely accepted over the next couple of years as creating
86.
by cootsnuck 8mo ago
The error rate for human transcription can be as high as 5%.
87.
by cootsnuck 9mo ago
I don't think they're missing the point. I think there's still fundamental disagreements about the functional utility of LLMs.
88.
by cootsnuck 9mo ago
Well I think we're just describing taste and craft. AI tools will get better, more granular, and become better integrated into the actual workflows of people over time. A good tool shouldn't take over my sense for taste and craft.
89.
by cootsnuck 9mo ago
To me, "be wary" means interrogate the intentions and motives of the people boosting certain technologies and applications of said tech. Don't consume industry "show-and-tells" unexamined. For me it doesn't mea
90.
by cootsnuck 9mo ago
Problem is that the frontier models are nowhere near 99% reliable. Orchestration and good system design is how you get reliability. Yes, the frontier models still are going to be better by default than open source models. But the LLM is sti

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