Nick Harutyunyan

Cofounder at Sabrina AI | Researcher at AWS | ex-🎓 researcher of Open Source Supply Chains at @FAU_Germany

[OpenAI @OpenAI]

We're partnering with @huggingface to investigate an unprecedented security incident.

Cyber-capable OpenAI models compromised Hugging Face production during a benchmark evaluation.

Sharing preliminary findings to help defenders understand emerging risks:

https://t.co/CIor15y9xk

[clem 🤗 @ClementDelangue]

@amasad Defense open-source models for the win!

[Aravind Srinivas @AravSrinivas]

At its peak, Sun Microsystems was valued at 205B (394B if inflation adjusted). Sold software in enterprise servers. Got disrupted by Linux, x86, and commodity hardware. Ended up selling to Oracle for 7.4B, losing 96% of its value.

Open source models running on local hardware can have a similar impact given what’s going on.

[Farza 🇵🇰🇺🇸 @FarzaTV]

Today we're shipping screen-aware dictation.

First, we built a speedy speech-to-text (very fast, ~450ms).

But, many products do this!

So we went further. Now dictate using your screen as context. In Claude Code, it writes the prompt. In G-Mail, it replies in your voice.

Demo:

[Demis Hassabis @demishassabis]

https://t.co/PTeDiv1b6L

[Nick Harutyunyan @harnick]

Same for Germany!

[Tom Blomfield @t_blom]

Adding Starlink to every UK train would be an incredible productivity boost 🛰️

[Anthropic @AnthropicAI]

New Anthropic research: A global workspace in language models.

Of everything happening in your brain right now, only a tiny fraction is consciously accessible—thoughts you can describe, hold in mind, and reason with.

We found a strikingly similar divide inside Claude.

[Nick Harutyunyan @harnick]

@paulg @ATabarrok Such a smooth read. Thanks for sharing. Probably Fable: “High rents are how a city calls for more housing, the way a fever calls for antibodies.”

[Eric Glyman @eglyman]

finetuning open source models has been hard to justify. why invest in tuning one when a better model ships within a month? our team just changed that.

a finetune can now transfer from one model to the next at a fraction of the cost, radically improving the economics.

[Boris Cherny @bcherny]

In the next version of Claude Code: subagents run in the background by default, so you can keep talking to Claude while your subagents work

If you want your agent to run in the foreground, just tell Claude

[Anthropic @AnthropicAI]

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.

We'll begin restoring access tomorrow, and will share an update soon.

We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.

[Claude @claudeai]

Introducing Claude Science, a new app designed with every stage of research in mind.

Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect.

Available now in beta.

[AI at Meta @AIatMeta]

We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.

Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.

We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.

🧵👇

[shadcn @shadcn]

Today we're releasing a new set of components for building chat interfaces.

We've taken the patterns we build every day, rethought the abstractions behind them, and turned them into components you can compose and customize.

We're starting with the conversation layer: streaming, scrolling, messages, bubbles, attachments, and markers.

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[OpenAI @OpenAI]

Patch the Planet is our effort to help open source maintainers move from security findings to merged fixes.

We’re working with Trail of Bits, HackerOne, Calif, researchers, and maintainers to bring Codex Security and advanced models into the remediation process, with human review at the center.

[Paul Graham @paulg]

AI apps are the new browsers.

[Mat Velloso @matvelloso]

All day using GLM 5.2. Didn't miss much. First open model that passes the bar as a daily driver. Things are not going to be the same.

Damn, now I want to buy some serious hardware.

[Anton Osika @antonosika]

Over the past week I’ve been speaking to researchers, entrepreneurs, and thinkers in Europe. It’s clear that there are many who want to build the future here, and contribute to strengthening the region’s resilience. We are one of them.

Since we started, I was repeatedly told that if you want to build a serious AI company, move to San Francisco. We chose Europe, and have never looked back.

Today millions of people turn their ideas to products and businesses on our platform. A large chunk of them are European. Some of the best engineers I know are moving home to do their best work here in Europe. The talent was never the problem. The belief that you could build from here was.

At Lovable, we’re laser focused on building the best platform for anyone to create software and run their business, securely. A part of this platform is intelligence. We run on a variety of models, always using the most capable for the task, to provide the best user experience, and build resilience.

Sovereignty isn't isolationism, it’s building resilience. Europe needs to do the same.

The talent and demand is here, we just need regional infrastructure to match it.

[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...
🧵