nil

v curious about ai. design engineer at @heyglif. fun:

[nil @dhvanil]

i turned my codebase into a city so that i can stop squinting at terminals.

now i just watch my ai agents fly between buildings.

and you can try it too:

SQUAD: a fun mission control for ai agents

[nil @dhvanil]

@memechaotic @Vexeff 😄

[nil @dhvanil]

@Grimezsz GCU Little Totoro

[nil @dhvanil]

i asked gpt-image-2 to make me an elephant with face mask 🙃

[nil @dhvanil]

seems like opus 4.8 loves to use "load-bearing" even more so than the earlier opuses

[nil @dhvanil]

@fabianstelzer @heyglif

[nil @dhvanil]

@Cointelegraph @pbshgthm 😁

[nil @dhvanil]

sometimes claude's thinking traces are so much more fun to read than it's answers!

[Robert Bye @RobertJBye]

We need more fun app icons like these

[nil @dhvanil]

@thsottiaux i made a fun flashcard app from a park yesterday, thanks to codex mobile app!

[nil @dhvanil]

@rronak_ i love SUPERHOT! played it a lot during the pandemic, but quickly finished all the levels!

i'd be v happy if ai agents would be good enough to make infinite dynamically generated maps! 🙃

[nil @dhvanil]

@HeatherRasley 🙈😂

[nil @dhvanil]

the optimum amount of ai psychosis is non-zero

[nil @dhvanil]

weekly touch grass day!

[nil @dhvanil]

@richiemcilroy those were some fun days...

[nil @dhvanil]

in most enterprise software companies today, the FDE is doing more product design than the product designer is.

[Aaron Levie @levie]

Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts.

Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system).

With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly.

Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process.

Massive role in tech now. And another example of the kind of highly technical work that AI is creating.

[nil @dhvanil]

love to see 5.5 xhigh manage 12 subagents without breaking a sweat!

[nil @dhvanil]

@sahra_bn that's beautiful!!

incidentally, also how i imagine fresh new leaves swaying in sunny spring wind might feel! 🙃

[nil @dhvanil]

"Lost in the latent space" -- 50x50cm acrylic on canvas!

[nil @dhvanil]

@sahra_bn so cool! looks like a deconstructed version of 👀 https://t.co/atWIVmvpLx

[Sahra @sahra_bn]

incredible

[nil @dhvanil]

@jxnlco yes

[ben hylak @benhylak]

so instead of saying “funky cabins within 2 hour drive”

i will have to keep filling out your patient intake form