Posts on X before Dec 2, 2024, 7:28:30 AM UTC
@MichaelStolarzsurprisingly, the only 99.9% accurate speech-to-text, of course, after i do a post-transcription on it, is still OpenAI's Whisper API. all of these other providers that offer Turbo, like Groq, or any of the versions that are hostable on your own, if it's not that good ol' Whispe… Less
surprisingly, the only 99.9% accurate speech-to-text, of course, after i do a post-transcription on it, is still OpenAI's Whisper API.
all of these other providers that offer Turbo, like Groq, or any of the versions that are hostable on your own, if it's not that good ol' Whisper, it's just not as accurate.
what i find that happens very often is, it'll just not transcribe a portion of your speech. i'm not sure why this happens. it'll just skip over things, or it'll do the notorious "..." instead of actually transcribing out the words.
it's almost as if it's too lazy to do the full transcription sometimes. really interesting behavior. hopefully it's fixed in V4, or whatever.
but for now, if i want to have a good focus flow, without having to go back and try and fix transcriptions and such, or even worse, having to re-say everything that i initially said, i'm just going to stick with OpenAI's Whisper API for now. and then of course, Sonnet 3.6 for post-transcription touch-ups.
@MichaelStolarznice, hit 100 stars so far, just in time for the fully rewritten mobile friendly v1.0 release :)
@MichaelStolarzwhen i first started using Cursor a little over a year ago, i really felt the "10x programmer" meme. especially since i was already so comfortable with the terminal and setting up automations in a pseudo-agent type of way with file watchers and procedures and loops... you get th… Less
when i first started using Cursor a little over a year ago, i really felt the "10x programmer" meme. especially since i was already so comfortable with the terminal and setting up automations in a pseudo-agent type of way with file watchers and procedures and loops...
you get the idea. now, with the latest Cursor update, where it has the agent feature, that initial 10x feels like another 10x. it's a steep learning curve, which isn't obvious from a first glance, even for those that use Cursor or code-gen tools every day.
i think 99% of programmers don't utilize Cursor efficiently. and then 99% of the 1% that do utilize Cursor don't really think through how this new agent feature is as big of a game changer as code generation AI is.
once people catch on and realize how powerful this is, i don't see any software limitations in terms of what can be created, even if tech progress magically stopped and we never have a better model than Sonnet 3.6 (lmao but you get the point)
what an amazing time to be alive, waiting for the next state-of-the-art LLM to further this productivity explosion, and more importantly imo, even better workflows that no one has even thought of yet (but AI will for you, especially when personalization becomes an integral part, not even mentioning continuous learning...)
@MichaelStolarz"Almost every important piece of software from the last 10 years uses Go"
@wispem_wantex
Go is the programming language of the internet and the modern era. Almost every important piece of software from the last 10 years uses Go: - Docker - Kubernetes - Terraform - Prometheus - Grafana - Lets Encrypt - CockroachDB - etcd - Ethereum - Vault - Packer - Caddy
@MichaelStolarzRemember threads?
@MichaelStolarzwait until this guy finds out about @cursor_ai 😂 t.co/uvL6LH0TGi
@MichaelStolarzare you even horsemaxxing, anon? come on, get with the times.
@MichaelStolarzi may be wrong, but with the way that BS is built, there’s… no way for anyone to circumvent this? it’s literally part of their selling point regarding their protocol
you love to see it 😂
@vikhyatk
@latkins there’s a major controversy currently happening on the other app huggingface.co/datasets/alpin…
@MichaelStolarz2024 isn't over yet, so i really hope i'm wrong with this next statement, but here it is: the only notable advancements that you can really feel in terms of output improvement have been Sonnet 3.5 and the o1/r1 "reasoning" models. everything else is cool, but tbh it just kind o… Less
2024 isn't over yet, so i really hope i'm wrong with this next statement, but here it is:
the only notable advancements that you can really feel in terms of output improvement have been Sonnet 3.5 and the o1/r1 "reasoning" models.
everything else is cool, but tbh it just kind of seems slopped together
@MichaelStolarzTLDR: pretty much every frontier AI lab has perfected AI text generation slop and so now we can finally focus on what really matters
@_jasonwei
Prediction: within the next year there will be a pretty sharp transition of focus in AI from general user adoption to the ability to accelerate science and engineering. For the past two years it has been about user base and general adoption across the public. This is very natura… Less
Prediction: within the next year there will be a pretty sharp transition of focus in AI from general user adoption to the ability to accelerate science and engineering. For the past two years it has been about user base and general adoption across the public. This is very natural because user growth is a critical part any business model. But at this point I would say that there is widespread accessibility of LLMs: for most queries from the average person on earth, many LLMs can answer pretty well. In the upcoming five years I think the focal point will be the ability for AI to accelerate engineering and scientific research, which is the engine of progress in technology. At the frontier of innovation in any field, by definition there will be many open questions and a lot of headroom for better AI to make a difference. The stakes will be very high because progress compounds and also because AI accelerating AI research itself is a strong positive feedback loop. The other way of saying this is that there is somewhat limited headroom for improving the average user query, but massive headroom for improving the experience for the 1% of queries that would accelerate technological advancement, as well as on queries that people would want to ask the model but currently don’t because models are not smart enough to answer. AI research tends to improve where there is great headroom, and in scientific innovation there be substantial upside.
@MichaelStolarzThey're not wrong.
It's just not the "open" that we're all used to.
Open here means "open to vulnerabilities," not open source. Definitely not open source.
@tomwarren
quite the claim from Microsoft here 🤔
@MichaelStolarzIf you’re ever feeling down and want a stark reminder as to how far ahead you are of everyone else when it comes to AI-anything, just take a look at the replies in this thread
@_lizharvey
Maybe im stupid (im not) but there is literally not a single thing id need chatgpt for??????????? like does it do the dishes? x.com/ilikefufu_/sta…