~/mehul/

frolicking in the garden of technology

@rox_ai

[~/mehul/ @luhemarora]

@mingjie we're trying our best

[BART @SFBART]

what is this thing on bart?? percy uses public transit too.

Ride BART to explore the city while playing Pursuit.

https://t.co/1INqAHiw6y

[~/mehul/ @luhemarora]

@rox_ai So sick to see this come to life

[~/mehul/ @luhemarora]

🎬

[Rox @rox_ai]

Revenue agents are the main course. Data enrichment is on the house.

B2B orgs spend $3.1B a year for employees to find contact and company data. Now agents need it too.

So we made a call: enrichment is a cost of doing agentic work, not a product to mark up. It's infrastructure that revenue agents need to run.

Today, we’re opening up our in-house data collection and enrichment infrastructure to all.

No extra contracts. No credits to count.

Just revenue, served.

[~/mehul/ @luhemarora]

@googrish WOOOOOOOO

[girish @googrish]

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof.

today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data.

open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise.

with castform, model training is as simple as prompt engineering. @castformai

bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns.

see what you can build with castform👇

[~/mehul/ @luhemarora]

@rox_ai 🐐🐐

[~/mehul/ @luhemarora]

@rox_ai I don’t get it

[~/mehul/ @luhemarora]

@rox_ai @aditabrm @reductoai And the best is yet to come 🙂‍↕️

[Theo Bleier @theombl]

@joininteract has opened applications for the 2026 class. Interact was and is meaningful for me; if you resonate with the "young technologist" label, you should consider applying.

[~/mehul/ @luhemarora]

🧑‍🍳

[Raveesh 折図 @raveeshbhalla]

https://t.co/pw68kp37JO

[~/mehul/ @luhemarora]

@rox_ai @marcofleming Statistically, Taeuk would say that

[~/mehul/ @luhemarora]

Full post here: https://t.co/KkMsRMxCo2

[~/mehul/ @luhemarora]

Many implementations of agent memory follow similar approaches, but they're missing pieces to be useful.

After spending the last few months exploring the memory space @spc and talking to people building across the stack, I wrote about common patterns, design decisions, and what still needs to be built 👇

[~/mehul/ @luhemarora]

Sitting at a table on the Caltrain if you're not using it should be illegal

[Gopal @gopalkraman]

demo nights are back.

come hang out with us "at the edge" @spc (SF) next Thursday.

we will have a *very* wide range of demos, including:
- space lasers
- emotionally expressive robots
- "wise" jewelry
- research around scaling multimodal inference

[Sourish Jasti @SourishJasti]

1/ The future of general-purpose robotics will be decided by one major question: which flavor of data scales reasoning? Every major lab represents a different bet.

Over the past 3 months, @adam_patni, @vriishin, and I read the core research papers, spoke with staff at the major labs, and mapped the talent pool. This has completely changed how we think about general-purpose robotics.

Our paper builds intuition, step-by step, across the 2025 frontier: from architectures → evals → data → industry dynamics. Each layer reveals a different bottleneck, but they all converge on one truth—data decides everything.

Our takeaways + process below👇

If you want access to our graph (sound on), comment or DM me

[~/mehul/ @luhemarora]

Beyond Being There is the Bitter Lesson equivalent of HCI

[~/mehul/ @luhemarora]

Sign up: https://t.co/rdxggQ5zL0

[~/mehul/ @luhemarora]

Do you (yes you) live in SF? Do you know where in the city this is? If yes (and also if no), I'm hosting a GeoGuessr tournament with exclusively SF locations, and you should compete