app134

That's interesting. Lately I have found the exact opposite to be true; the frontier models are quite disagreeable and require some convincing

I rebooted my 2006 character last weekend and have been having a blast

I'm an early backer and plan on jailbreaking Beni ASAP. Seems like really, really cool hardware.

With Unitree bots all but banned in the US I've been looking to pivot away from that platform anyway. Took a couple months to jailbreak the Go2 platform initially, but I'm betting this will go even faster with modern agents

Teenage me would've killed for an N900 back in the day.

Went with an iPhone 3GS.

Still think about that from time to time. I don't regret it, per-se, as the jailbreak scene at the time was very exciting.

DevOps is a huge part of my job as a systems engineer and I too have found increased satisfaction with AI.

I think the reason (for me, at least) is that my markers of success were always perched precariously atop a mountain of systems that I had varying levels of understanding of anyway. Seeing a pipeline "doing the thing" is satisfying regardless of how I sorted it out.

> I'm pretty sure that someone else would have come around the corner with a similar idea some time later, because the fundamentals of these stuff were already discussed decases before

I am not trying to be dismissive, but this could apply to all research ever

Dismissing someone with a different opinion as astroturfing is not productive.

There are loads of high performance open source LLMs on the market that compete with the big 3. I have not seen this level of community engagement and collaboration since the open-source boom 20 years ago.

You asked earlier if you were being overly cynical, and I think the answer to that is "yes"

We are indeed simulating what we find in nature when we create neural networks and transformers, and AI companies are indeed investing heavily in BCI research. ChatGPT can write an original essay better than most of my students. Its also artificial. Is that not artificial intelligence?

In-context learning is proof that LLMs are not stochastic parrots.

I don't believe they have made it public.

I worked this wreck with RIMAP and had to sign an NDA before boating out, but that was back in 2020

Steganography tool called ez-steg. It supports least significant bit steganography as well as emoji/unicode encoding via variation selectors. It grew from a set of scripts I had written to test out data loss prevention systems.

Includes some nice-to-haves like payload encryption, carrier image creation

https://github.com/a-bissell/ez-steg