
Chef Buildoooor at @tinyhumansai. When you're going to change the world, don't ask for permission. building open source AGI & sometimes i trade memes
Nauvis
Joined August 2016
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thanks to my work in AI I'm now the number one github contributor in all of india 🇮🇳
and it's going to keep scaling from here. my output keeps compounding day by day.
grateful for everyone's support 🙏
The software above is called medulla. it's my open source terminal to handle a really large number of agents and also spawn fleets of agents.
you can try it out over here for free! it replaces tmux + btop + mosh +
github.com/tinyhumansai/medu…
I finally got my hands on 95 CPU threads and 512GB of RAM!!
Oh boy.... Now my output is going to at least 5x from here.
I'm not even sure if I'm prepared to deal with what's going to come next....
This is what the open source version looks like. Not bad!!
New on our Engineering blog: Creating in-house source control.
In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale.
Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: anthropic.com/engineering/re…
Here's an open source version of @AnthropicAI 's Scion 🙃
github.com/tinyhumansai/open…
New on our Engineering blog: Creating in-house source control.
In May, we merged around 2,500 code changes per day. In September, we merged more than 30,000 per day. As a result, we became bottlenecked by developer infrastructure built for human (rather than agent) scale.
Here, we share how we built a new version control system—and fully migrated our monorepo from git—in five months: anthropic.com/engineering/re…
90mn$ for something that takes 9 minutes to make a simple HTML page?
NOICE 😂
Nous Research, maker of open-source AI assistant Hermes, has raised $90 million in venture funding. Hermes was downloaded more than 22 million times since February. It overtook OpenClaw and other open-source assistants by usage, per OpenRouter. wsj.com/pro/venture-capital/… via @WSJ
OpenHuman's browser control is getting so good that one of the devs accidentally booked a cab to test and forgot to cancel because it happened so fast.
He ended up cancelling the trip and gave cash to the driver.
It's going to get madd pretty soon.
we weren't going to pay him but he covered openhuman anyways 🤷♂️
this open-source agent harness is currently the #1 trending tool on GitHub.
it’s built to be lighter than OpenClaw and Hermes, using less RAM + CPU while running faster.
if you care about efficiency, this one’s worth checking out.
github.com/tinyhumansai/open…
Steven Enamakel 🐥 retweeted
this open-source agent harness is currently the #1 trending tool on GitHub.
it’s built to be lighter than OpenClaw and Hermes, using less RAM + CPU while running faster.
if you care about efficiency, this one’s worth checking out.
github.com/tinyhumansai/open…
Steven Enamakel 🐥 retweeted
Sage by @LevantoLabs is the first decision model, launched in July, and currently the best on the market.
It wins across all the evals proposed by @perplexity_ai's CEO (nice job @AravSrinivas!), and it's first on JevBench, beating Jev and Google's models on every dimension.
BUT frankly, benchmarks are not what excites us.
I'm BORED by the dozens of new decision models launching every day with a tiny +0.02 on some eval. They all look the same.
The magic is somewhere else.
There are thousands of new things that could be invented in the space of decision models and models for machines. The invention space is huge!
After launching Sage, we also pioneered:
- The first guardrails and model routers built on decision models
- Automated context engineering with "grounding" (automatic web search when confidence is low). Decision models are only as smart as their context, especially because they can't make tool calls.
- Reasoning. In many use cases you don't know whether your question is System 1 or System 2. With reasoning, the model is as fast as a System 1 model when the question is System 1, and takes more time when it's needed. This enables hard, multi-step decisions. Our clients just want the correct answer, and in some use cases they're happy to wait 0.5s more. This will soon become the market standard (GLiDE/@george_onx and @TypeLLM already followed).
And *so* much is yet to come. Models for machines: it's just the beginning!
We're cooking. Follow @levantolabs for new product primitives that will surprise you.
Open innovation is HEALTHY.
Competition is HEALTHY.
Benchmark-race is BORING.
Product inventions are FUN.
Go go go!!!
Why is @openclaw so damn slow for really simple things? 🤷♂️
A search query opens a full browser and over 10 mins?? Who tf designed that?
OpenHuman is far more lightweight, consumes lesser RAM & CPU, and gives much faster results.
time to make robinhood:0xb9ce619b168f325b4eb8c2e8e073501838c7a407 bigger than @truth_terminal
@teenydroid you will soon realise your prophecy














