Rohan

building | ex-founding engineer @myclone_is | opensource | chess & code

[Rohan @rohansxd]

its only tuesday and im already ~50% through my weekly claude limit 😭

[Rohan @rohansxd]

why do new apps nd tools always launch for mac & windows first, while linux users get ignored or last priority ?!

[Rohan @rohansxd]

we had:
- prompt engineering
- context engineering
- harness engineering

now we have:
- loop engineering

whats next?

[Rohan @rohansxd]

Hey @boardyai connect me with people are actively building in the AGI space

[Rohan @rohansxd]

@Heistedxyz lets gooo

[Rohan @rohansxd]

@chaaai @grok is this true?

[shyamal @shyamalanadkat]

after close to four years at @openai, i moved from the bay area to india earlier this year. i still believe deeply in ensuring true superintelligence accelerates science and remains accessible and beneficial to all. having grown up here, i've also always felt deeply connected to the ecosystem here.

over the past several weeks, i've been speaking with researchers, engineers, and thinkers across india and apac. it's become clear that there are many who want to build the future from here. moving back felt like the counterintuitive choice. i no longer think that's true.

what's been missing is the belief that you can build institutions of global consequence from anywhere. and more importantly, the ambition and the will to pursue ideas that seem impossibly large at first. this may be a once in a generation opportunity.

more to come soon. DMs open if this resonates.

[Rohan @rohansxd]

@athrvakhrbde @grok is it a silicon valley series reference?

[Uzi @uzairansar]

🚨 Qwythos-9B-Claude-Mythos-5 Fine Tune with 1M Context released!

Empero just released their Claude Mythos Fine Tune based on synthetic CoT generated from Fable-5 and Mythos-5 session logs.

Qwythos-9B is a full-parameter reasoning model built on top of a deeply uncensored Qwen3.5-9B base.

[Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 @elder_plinius]

🚨 NEW RESEARCH: “Lingua Ex Machina: A Procedural Xenolinguistics Engine Reveals Zero-Shot Language Acquisition, Human-Unreadable Coding Systems, and Exploitable Covert Channels in Frontier AI”

Some of you may remember the name of this lil engine: GLOSSOPETRAE 👅🪨

Well, we've got upgrades 😎

It started as a procedural xenolinguistics engine: one seed in, an entire alien language out. Phonology, morphology, syntax, writing systems, lexicons, grammar docs, all generated from scratch and internally consistent.

Every seed produces a unique language. Every language is deterministic.

Then we used it to ask a weirder question:

Can frontier AI models use languages that never existed before for practical applications?

As it turns out: yes!!

They can read them, write them, translate them, code in them, and even use the weird blind spots between tokenizers as covert channels.

So this paper explores three ideas at once:

▶️ zero-shot language acquisition
▶️ human-unreadable code that models can still execute
▶️ exploitable covert channels in frontier AI systems

GLOSSOPETRAE is no longer just a language generator...
🧵

[Rohan @rohansxd]

@wgzqpnIZ4B19548 Check now

[Rohan @rohansxd]

most teams are sending sensitive data straight to llms.

- patient records.
- legal documents.
- financial information.

the model provider sees all of it.
i built cloakpipe so they don't have to.

an open source privacy layer that pseudonymizes sensitive data before it leaves your infrastructure and restores it after inference.

won #FossHack2026 this week 🏆

• open source
• openai compatible
• aes-256-gcm
• sub-5ms latency

https://t.co/wZGm0jPsmK

https://t.co/6F5MI6jnY4

[Paul Graham @paulg]

How to Earn a Billion Dollars: https://t.co/WeWBUkKym6

[Rohan @rohansxd]

@16vchq @ajay_2512x applied 🤞

[Rohan @rohansxd]

@16vchq https://t.co/BMumpiG1yE

[Sahil Lavingia @shl]

AGI is diffusion + LLM + scratchpad

Hormones make us human, not intelligence

[Rohan @rohansxd]

@kritikakodes how about https://t.co/0oXeVQhrb7

[Rohan @rohansxd]

@IricMidel Spaceship

[Rohan @rohansxd]

@akhil_kestur not regex masking - we swap each piece of sensitive data (names, emails, cards) for a realistic fake, then use a stored map to restore the real values on the way back.
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