Jay Bobzin

💍🇺🇸✝️
| 🎙️ cohost:
Stand Up with Myc and Bobz
| 🤖 creator:
The Universal Basic Network |
The Trust Package |
First Step Academy |
[email protected]

[Jay Bobzin @jaybobzin]

three blind men debating religion

first one says clearly monotheism
second one says fae magic
third one keeps insisting no god

stop molesting that poor elephant mutters the zookeeper

[Jay Bobzin @jaybobzin]

america is the kind of country that cracks their liberty bell and says fuck it

we will just change cracked to mean awesome

[Jay Bobzin @jaybobzin]

it would be unseemly for the united states to be too good at soccer

like when an older brother gets too good at the younger brothers thing

I like that we hold ourselves back here

[Jay Bobzin @jaybobzin]

fablepilled

lfglfglfglfglfg

[Jay Bobzin @jaybobzin]

what would you do if you were way smarter?

[Jay Bobzin @jaybobzin]

ai slop is just suittalk returned with a vengeance

delve into the synergies

the voiceless voice

[Justin Schroeder @jpschroeder]

We passed the Turing test c. 2024. We couldn't pass it today.

Why? Humans, unlike LLMs, learn so efficiently it takes a very small sample to retrain our own classifier. We can all spot AI easily now.

Frankly, we aren't talking about this enough. Both that our learning mechanism for AIs is still very crude, and the fact that AI content has been universally uncloaked

[Jay Bobzin @jaybobzin]

@mattpocockuk it does happen quite a bit faster than it used to

which does add some challenges

[Jay Bobzin @jaybobzin]

a spectrum summarized in the pre gpt world as "code review"

tech leads been perfecting the art of not reading PRs since before they were called PRs

[Matt Pocock @mattpocockuk]

The "should you read code" debate is dumb because the real decision isn't binary, it's a scale:

1. Reading every line of every diff
2. Scanning every diff, reviewing important lines
3. Ignoring diffs but understanding the 'why' of every PR
4. Spot checking PR's instead of reading every one
5. Ignoring PR's, but doing regular spot checks on the codebase
6. Ignoring the code, but spot checking agent traces to help improve the system
7. Ignoring both the code and the system, let models handle everything

Where are you on the scale?

[Jay Bobzin @jaybobzin]

it is impossible to not adopt the language you expose yourself to

what you adopt is a matter of taste and attention

[Gergely Orosz @GergelyOrosz]

Let me know if this is just me:

Noticed someone I know who is very "AI-pilled" and uses agents 24/7 to... start to talk noticeably more like these LLMs write.

Eg more heavily using adjectives like "geniune", frequently terms like "the shape of" and many more examples

[Jay Bobzin @jaybobzin]

liberty because trees outlast houses

what man builds is fragile

we must always return to the living for feedback

[Jay Bobzin @jaybobzin]

@tszzl must
solve
uncertainty

[Jay Bobzin @jaybobzin]

@AaronPogue The Son is a bit picky
about where we dwells

it must be
just so

[Jay Bobzin @jaybobzin]

there is only one hard thing

no not that

[Jay Bobzin @jaybobzin]

off by one stale cache lookups

[🎭 @deepfates]

Working on naming a thing. How do you do that

[Jay Bobzin @jaybobzin]

@samswoora respec? ;)

gl

[Jay Bobzin @jaybobzin]

clarity

[Jay Bobzin @jaybobzin]

taming wild intelligence and bringing it into our homes will be a disaster for our slippers

[Jay Bobzin @jaybobzin]

@nickcammarata attention?

[Jay Bobzin @jaybobzin]

@paleoludic sounds like a bad career

[Jay Bobzin @jaybobzin]

lets
go

[zerohedge @zerohedge]

*GOOGLE: MULTI-SLIDE PRESENTATIONS USING GEMINI IN GOOGLE SLIDES

[Jay Bobzin @jaybobzin]

yesss

[TBPN @tbpn]

Engram cofounder @jxmnop just raised $98M to build a new type of AI.

He says models don't need to get smarter over time. Instead, they just need to know you better and better over time.

Jack describes what he's building:

"Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month."

"There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better."

"So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say."

"So: new ways of training, new ways of running the models."