luke sine

Co-Founder | | AI is a Mindset

[luke sine @Lukegsine]

@elonmusk Good to see the strong roadster presence at SEMA last week!

[Homeroom @onhomeroom]

@patrickc We’ve been building the collaborative version. Anyone suggests a change, a bot builds it, the group votes it live.

On one of our apps, 26 of 87 users have suggested or voted on changes. 15 shipped last week.

[luke sine @Lukegsine]

@patrickc The future of software

[Patrick Collison @patrickc]

I'm now building an "improvements" feature into all of my personal vibecoded applications: a freeform text input that's hooked up to an agent that yolo implements whatever is submitted.

It's an interesting experience -- the activation energy barrier to sanding any rough edge or implementing any new feature becomes extremely low. Someone else who uses one of the applications I created has already implemented 150 improvements over the course of a few days. This pattern feels like a new kind of tool -- liquid software? -- and every application that doesn't have this feature now has a slightly rigid and anachronistic flavor. Why can't I just tell it how I want it to be different?

Now, it's not obvious to me how this pattern can or should scale. Does it become unmaintainable after a while? (Maybe model intelligence improvement outstrips my feature appetite such that it's fine?) How does collaborative software work in this model? Can software designed this way be secure and reliable?

Whatever the larger questions about broader deployment, it definitely works great in a personal context. It reminds me a little of the visions of Lisp/Lisp machines, Smalltalk, and HyperCard -- systems that the user can take control of and modify. Those visions never quite worked, though: the vast majority of software today is not end-user modifiable in any useful way. So, while this "liquid" affordance is a very small touch, the way it changes one's relation to the software feels a bit transgressive and empowering in a Lickliderian and Engelbartian way.

[Aarush Yadav @AarushYadav47]

We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again.

Typing is slow. Talking into your computer is awkward. Subvocal fixes both

Our glasses give you the speed of speech without you making a sound or touching a keyboard.

It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min.

Pre-orders are now live at:
https://t.co/DzrwIpg3GR

[Mr Tactical @MrTacticalX]

Sam Altman burnt the cookies…

[luke sine @Lukegsine]

@gianlucasrgnt @elonmusk Good reach on this bro

[Gianluca Sorgente @gianlucasrgnt]

OMG thank you @elonmusk i never wanna go over a speed bump without flying over it

[Rabi Shanker Guha @rabi_guha]

For 30 years, technology has moved in one direction: turning information into intuitive interfaces

Somehow, the smartest software we’ve ever built took us back to a textbox

We’ve spent the last 2 years at @openuidev trying to fix that. 6 months ago we open-sourced it: 10K+ GitHub stars, 6M+ downloads

ChatGPT shipped Intelligent UI and showed everyone what it looks like

Today we’re releasing OpenUI 1.0 bringing it to every other agent

[luke sine @Lukegsine]

Dogs love it!

[Tesla @Tesla]

Real life, baby

[Alexander Whedon @alex_whedon]

Introducing SubQ Snap, the first long-context decision model for real enterprise work.

Snap is the only decision model or LLM where compute per token stays constant as context grows.

• 384K tokens of multimodal context, 12x larger than Jev.
• 61.7 on Decision Index v0.2.1 vs Jev’s 57.9, outperforming on 13 of 16 enterprise benchmarks.
•Processes 100K tokens and returns a decision in under one second.
•$0.05/MM input tokens. Output is free.

Available today to anyone.

The first 10,000 sign-ups get 100M free input tokens.

We’ll likely hit capacity fast and will add users as we add compute. Compute offers welcome 🙂.

Latency will be variable as we tune the platform to this new model and category of users.

Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k.

Visit: https://t.co/Nc76iJF2a8

[Waseem @waseemhnyc]

this is wild... all open source? are you kidding me

[luke sine @Lukegsine]

Many people seek to evade stress. Stress is the artist behind the sculpture. Without Stress our true beautiful self is not yet realized.

[luke sine @Lukegsine]

@perplexity_ai using this and it has been absolutely amazing!!!

[luke sine @Lukegsine]

@gianlucasrgnt @REK @cixliv bro text me next time you go to something like this

[luke sine @Lukegsine]

https://t.co/yXj217EAIi
Check out our flow for grading employee interactions with customers in a non-linear way!

[Treg @treg_ai]

Introducing OpenSource people-search for Claude

- Juts $0.0089/lead, no more $600 subscriptions
- #1 on People Search Bench
- 0% markup, Fully open source

Try it at https://t.co/D2eDbgiLu0

Repo link below 👇

[Jake Fitzgerald @earthtojake]

there goes my week

[Kevin Young @kevisyoung]

repo:
https://t.co/naQR5iPuVL