xnx

33 ms·

961.
by xnx 6mo ago
Disagree. Presenting partial information like this distorts and confuses people's understanding.
962.
by xnx 6mo ago
Still waiting for the open weights model that conclusively beats the multi-year old Whisper in accuracy, features, and performance.
963.
by xnx 6mo ago
Simonw (who has a bit of a Midas touch for posts here) just posted about it https://simonwillison.net/2026/Apr/27/vibevoice/
964.
Is OpenAI Falling Further Behind in the A.I. Race?(nytimes.com)
5 points by xnx 6mo ago|2 comments
965.
by xnx 6mo ago
Kind of self evident? If there were opportunity the land would have already been used for something more lucrative than empty.
966.
by xnx 6mo ago
Are AI robots piercing ears now?
967.
by xnx 6mo ago
> AI coding isn’t an abstraction Isn't it an abstraction similar to how an engineering or product manager is? Tell the (human or AI coder) what you want, and the coder writes code to fulfill your request. If it's not what you w
968.
by xnx 6mo ago
I commuted by bike 70 miles a week for a few years. Bike line obstruction was far down my list of concerns, behind: drivers looking at phones while driving, drivers looking at phones while stopped, drivers running stop signs without even no
969.
by xnx 6mo ago
> so many of our modern problems are because our UI toolkits suck The remainder of the problems are caused by overly complex deployment/hosting setups. Compiling a binary from source looks like a breeze by comparison.
970.
by xnx 6mo ago
This concept won't reach that point because when you chisel too hard it crumbles. There are countless lower level tasks that typical programmers no longer learn how to do. Our capacity for knowledge is not unlimited so we offload every
971.
by xnx 6mo ago
An LLM will reply with a plausible explanation of why someone would have written the code that it just wrote. Seems about the same.
972.
by xnx 6mo ago
Did you mean less expensive? https://pricepertoken.com/trends#frontier-pricing
973.
by xnx 6mo ago
Strikingly similar to the never completed Unrecord from 3 years ago: https://www.youtube.com/watch?v=IK76q13Aqt0
974.
by xnx 6mo ago
Reducing costs is also a business benefit.
975.
by xnx 6mo ago
Good question. Maybe not cook, but consider someone who picked just the right ingredients and preparation for a sandwich. Combining flavors and textures in novel ways that are as surprising as they are delicious. I would ascribe more of the
976.
by xnx 6mo ago
Where do you draw the line? Do composers create?
977.
by xnx 6mo ago
Also https://hnrss.github.io/ https://hnreplies.com
978.
Google Commits to Invest Up to $40B in Anthropic(nytimes.com)
6 points by xnx 6mo ago|1 comments
979.
by xnx 6mo ago
Such different time now than early 2025 when people thought Deepaeek was going to kill the market for Nvidia.
980.
Understand the Transit Compromise to Grasp Efficiency(forbes.com)
2 points by xnx 6mo ago|0 comments
981.
by xnx 6mo ago
Next up: Google I/O on May 19? I have to imagine they'll go to Gemini 3.5 if only for marketing reasons.
982.
by xnx 6mo ago
"our newest and most expensive model yet"
983.
by xnx 6mo ago
I guess I'm most surprised that there are any NYC cops who don't deface their plates: https://www.nytimes.com/2022/12/17/nyregion/license-plate-vi...
984.
by xnx 6mo ago
I'd seen the technique, but never visualized like that. Very cool.
985.
by xnx 6mo ago
> Thanks to email security scanners this feature is largely broken. One person's feature is another's anti-feature. I'm glad it's dead.
986.
by xnx 6mo ago
Same. I've built dozens of small tools and scripts and never felt the need to try something else.
987.
by xnx 6mo ago
> so many internal contradictions that when they're all listed out like this, you can just pick one that justifies what you want to justify. More like the Bible of Software Engineering then
988.
by xnx 6mo ago
"vibe code" now just means "coded with AI" which should not be anymore of an insult than "IDE coded". I'm much more critical of closed-source, subscription, wrappers over open source software of simple pro
989.
by xnx 6mo ago
> Splitting TPUs into dedicated training vs inference chips feels like an admission that the bottleneck has shifted from FLOPs to memory bandwidth + latency. With the expected scale of inference, it makes cost sense to make dedicated har
990.
Gemini Enterprise Agent Platform, powering the next wave of agents(cloud.google.com)
3 points by xnx 6mo ago|2 comments

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