elpakal

Agreed. I think there's also an argument to be made that it's upskilling non SREs to now be able to do SRE things.

Google's AI search is abysmal and is almost always, at least, 30% wrong (outdated, wrong info) ime. I find that I just use the chat interface to save tokens on basic things so I don't want to waste my real AI subscription tokens on basics.

In theory I understand their change to make search -> AI search instead, but I have a hard time believing that this was benchmarked in any way and not rushed to desperately remain relevant in the AI race.

What incentive do they have to implement the large token/cost savings model architectures like Jev have introduced? Doesn't the impact Jev/Decisions models have had imply an inefficiency in the business models here?

I have an old alexa and a paper calendar we literally write on for our family stuff. And the wall ends up getting written on.

So this is two birds for me

"I will answer that for you when you put down the knife"

I would love to it just needs to stay within our data isolation boundaries (bedrock)

In bedrock it’s the other way around

Have there been any signals from Anthropic about matching this? We use AWS bedrock and just switched to Anthropic from OpenAI because of the ZDR guarantee. Would be great to not have to entertain switching back.

I find the watermarking dynamic to be really interesting in the legal space, as more large model providers provide increasingly powerful legal capabilities, and adoption (presumably) also increases. Attorneys aren’t the same as developers as their work can be traced back to them, and there are personal bar licenses and reputations at stake. I wonder if knowing the likelihood that AI generated something helps or hurts in that respect.

I also see a lot of watermark removal services popping up as a result.

where are the benchmarks

> By using the legal search index, Astra for Law can search U.S. case law, statutes, regulations, court rules, and administrative decisions across a corpus of more than 230 million URLs, with sources added daily. Our work with Free Law Project, the nonprofit behind CourtListener, brings its case-law collection covering more than 99.9% of published U.S. precedential case law (opens in a new window) into this research experience.

Found that to be very interesting

why tho? genuinely curious

Man I can't count the number of shell wrappers I've written or reached out to over my career. Looking forward to having an official Swift SubProcess helper.

I'm building SMS alerts for Kalshi market movements, upset alerts, big trades, specific teams and more. Starting a private beta (if interested, send a message via X @OddsLineSMS).