monkeydust

We spend a small fortune trying to get ontology right as it's so critical to real world success of enterprise AI. Curious if this could actually help us.

One of the coolest things I have recently seen but would love some details. It also got me thinking a about this recent Neuralink post.

https://neuralink.com/updates/72-hour-voice-hackathon/

Many would be thinking that, including me. Nefarious agents powered by LLMs operating 24x7 with a singular goal of finding attack vectors.

No, a very large software company. Have a team structure so not dealing with day to day but ultimately responsible. Have spent last year blending the team with engineers who have been interested in getting into product. Ultimately see that will be direction of travel across the industry.

One I need to rewatch

https://www.imdb.com/title/tt0708807/plotsummary/?ref_=tt_ov...

PMs ultimately take bets. Some to many will fail and if they are great a few will pay off in an excessive way. I have yet to see anything in the AI field that make better bets than my best PMs (I manage 50 of them) but as soon as I do the whole calculus changes. I joke with them about it. They also joke back it could happen to me (which it absolutely could). We live in interesting times.

If they are not already there!

Largely speaking eating is an activity that only involves yourself. Whereas, writing and thinking are largely activities to communicate ideas between yourself and others. Basically it matters more how this is done.

So lets extrapolate to the very near future.

Getting work done will require combination of biological and silicon agents working together.

Will our silicon counterparts also want as many meetings as biological equivalent to get the same work done?

Ditto. Android user as well.

Feel I need to play around with these new breed of classifiers so came up with this personal use case yesterday whilst at gym:

"If update from select group of individuals on WhatsApp is classified as urgent then interrupt my music."

Doable?

Right. There's plenty of software simulators in racing so was surprised their testing harness doesn't use one.

And also Google is public listed company and the other two (for now) are private. I think that fact does have a strong bearing on how they operate.

Yea, it went from cool -> annoying pretty quick for me.

Any thoughts on if or how it might make sense to integrate Product/Business folk into the workflow?

Stick with it. The collapse of HN is a leading indicator to the fall of humanity.

When sharing summaries from calls that I attended but my team has not but I think they would find interesting and I simply don't have time to handcraft it myself I use LLM and attach my prompt and the transcript.

Attaching the prompt initially threw some people..."wait, your admitting to using AI..."..."err yea, unlike you with that PowerPoint you sent me last week". I sense this is the right way to go imho.

Bit of a Jev explosion going on. Is it because it's taking us back to a simpler time we understand better? Classification models have been around for a while.

> Please note that although we will do our best to contact you and deliver your onions, no refunds are offered even in the case of a failed delivery.

How many times have you failed delivery where you have been able to establish contact with contract owner and they want their onions? Curious

Berkshire got it right a long time ago.

https://www.berkshirehathaway.com/

Was reading about Jev yesterday and playing with it this morning as I got access to the sandbox. Had thing niggling thought that I have seen something like this before - strucutured output! - googled "llm structured output and jev" and got to Sean's new post :)

Sam speaks at Salesforce.

Salesforce goes down.

No causation here...move on.

Which is modeled in Unity which you can walk around in VR...for kicks maybe though could unlock something in the mind...spatial computing is an interesting field.