HackerTrans
TopNewTrendsCommentsPastAskShowJobs

ccleve

4,020 karmajoined 14 years ago
You can reach me at ccleve[delete this]land at diesel[delete this too]point dot com.

Submissions

[untitled]

1 points·by ccleve·4 days ago·0 comments

Ask HN: Getting Someone at Facebook to Listen

6 points·by ccleve·4 months ago·3 comments

Ask HN: Where do YC websites come from?

1 points·by ccleve·10 months ago·1 comments

comments

ccleve
·4 months ago·discuss
For an opposing view, https://ianstormtaylor.com/design-tip-never-use-black/
ccleve
·4 months ago·discuss
I'm wondering how many millions in developer productivity are being lost every minute.
ccleve
·4 months ago·discuss
It's not clear to me whether Anthropic's limitations are technical or merely contractual. Is Anthropic actually putting the limitations in their prompts, so that the model would refuse to answer a question on how to do certain things?

If so, that's a major problem. If the military is using it in some mission critical way, they can't be fighting the model to get something done. No such limitations would ever be acceptable.

If the limitations are contractual, then there is some room for negotiation.
ccleve
·5 months ago·discuss
This looks great, but it's not clear to me how to use it for a practical task. I need to transcribe about 10 years worth of monthly meetings. These are government hearings with a variety of speakers. All the videos are on YouTube. What's the most practical and cost-effective way to get reasonably accurate transcripts?
ccleve
·10 months ago·discuss
Thanks. That's exactly the right thing to say.
ccleve
·10 months ago·discuss
This area has a lot of hills.
ccleve
·10 months ago·discuss
yes, quite a bit
ccleve
·10 months ago·discuss
Irked me too. I'm running for state representative in House District 9, which covers much of that area. The district is drop dead gorgeous and it's growing rapidly. There's a lot here.
ccleve
·10 months ago·discuss
178 billion? That's nothing. I did trillions just this morning. I went to the grocery store and picked an item off the shelf, effectively filtering out the trillions of other products that I could have picked but didn't.

They did not process 178 billion rows per second. They did a search that found something in a large data set by eliminating the parts of the data set that could not have contained the item. Same way I did by picking one grocery store and going straight to the shelf.