Werktan

The intelligence layer for stock tokens. Fund portfolios and insider trades from SEC filings, matched to Robinhood Chain.

$WERK ↓

[Werktan @Werktan]

1/ Robinhood Chain traded $15B of stock tokens in its first 100 days.

Almost none of those traders read the filings behind the stocks.

We built the layer that does.

[Werktan @Werktan]

$WERK is live on Pons.

CA: 0xf02b3bcd8ef33ccbcf29c4fea1bfc1f0345f800b

Fair launch. Fixed supply. Fees buy back $WERK. The platform stays free.

[Werktan @Werktan]

6/ $WERK launches on Pons. Fair launch, fixed supply, no presale.

Holders vote on which fund we track next, and our share of fees buys back $WERK.

Contract address will be posted here and on the site. Anything before that is not us.

[Werktan @Werktan]

1/ Robinhood Chain traded $15B of stock tokens in its first 100 days.

Almost none of those traders read the filings behind the stocks.

We built the layer that does.

[Werktan @Werktan]

5/ Where this goes:

Phase 1 (live): intelligence Phase 2: one-click baskets, a fund's on-chain portfolio in one transaction Phase 3: an AI analyst that reads 8-K filings for you

[NVIDIA @nvidia]

AI is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully.

And helping people benefit from AI means taking its challenges seriously.

The technology industry needs to do that work.

[Nous Research @NousResearch]

You can now watch your agents work live as Hermes Desktop streams the screen of any bot's screen or session in real time.

Watch it drive a browser, type into a terminal, or open a window. Take over anytime to interact with the Bot Screen or type credentials and seamlessly hand back off when you're done.

[OpenClaw🦞 @openclaw]

OpenClaw 2026.9.6 🦞

🤖 Opus 5.5, GPT-6 Sol/Luna, Grok 4.7
🔧 Managed updates
🧵 Restart recovery
📊 30d Usage
🐙 GitHub reader
💻 Remote Files, Memory & Skills
📝 Live meeting notes
🧠 Jev + decision models

2,614 PRs · 351 contributors · much more ↓
https://t.co/XTLQjAv0dD

[Unreal Labs @unreallabsai]

Introducing Unreal Agent:

An open-source harness with state-of-the-art cost efficiency

39% cheaper than Codex+Astra on Terminal-Bench 4.0 while maintaining performance

[Muse @Muse]

Muse 🤝 Mac

[Unsloth AI @UnslothAI]

Unsloth has surpassed 500M model downloads on Hugging Face! 🦥🤗

Qwen3.8-27B GGUF is already Unsloth’s #1 most-downloaded model ever.

Thanks for all your support!

[Black Forest Labs @bfl_ai]

Introducing FLUX 3 Action.

An open weights 7B World Action Model that achieves first place on the RoboLab benchmark.

It outperforms the previous best open model by 6.1 percentage points while using 56% fewer parameters and running up to 3.95x faster.⁠⁠

FLUX 3 Action removes the usual trade-off between world action model performance and VLA speed: it still predicts video and actions together, but plans more than twice as far ahead and runs faster per second of robot motion than the strongest open VLA.

Teams can fine-tune FLUX 3 Action on their own demonstrations to create policies for a particular robot and task. Together with @nvidia, we also integrated FLUX 3 Action natively into @huggingface's LeRobot, with fine-tuning recipes included and edge deployment on NVIDIA Jetson.

Beyond robotics, we’re also seeing promising results training task-specific policies for acting in simulated environments like gaming, controlling a vehicle, computer use, and wherever else a model needs to understand a visual environment and then choose what to do next.

FLUX 3 Action builds on the same image, video, and audio pretraining as FLUX 3, but uses a smaller architecture designed for practical deployment. In midtraining, we trained the model to predict actions and future frames together.

We’re releasing the weights, code, fine-tuning recipe, benchmarks, and reproducible examples so researchers and developers can build on the model with their own robots, environments, and tasks (see below).

[Epoch AI @EpochAIResearch]

AI is getting cheaper more quickly than any other transformative tech in history. At a given level of performance, cost has fallen ~47%/quarter since 2023.

That’s 4× faster than DNA sequencing, 6× faster than compute, 18× faster than lithium batteries, and (up to 1973) 54× faster than electricity.

[Browser Use @browser_use]

Browser Use Bench v2 Pareto frontier got completely redrawn today

> Claude Opus 5.5: 59.4
> GPT‑6 Sol medium: 66.9 (3.5x cheaper)
> GPT‑6 Luna xhigh: 57.6 (22x cheaper than Opus)

OpenAI is in its own league 🔥

All models available to try on our cloud.

[x-axis is log scale]

[NVIDIA AI @NVIDIAAI]

When several people talk at once, a transcript can get messy fast.

Our new Nemotron 3 Diarization model tracks who spoke when, even when voices overlap. It handles up to eight speakers, has 100M parameters, and is now available on @huggingface 🤗

[Google for Developers @googledevs]

Say hello to our new Gemini 3.8 text-to-speech models.

Whether you need creative nuance or massive scale, build custom voice apps with more precise control using our most expressive models yet:

🔊 Gemini 3.8 Flash TTS: Designed for creatives, this model lets you use natural language to create custom vocal personas and direct cues, pacing, and dialects to build immersive apps and narrative games.

🔊 Gemini 3.8 Flash-Lite TTS: Built to scale high-volume audio pipelines, such as bulk audiobook production and audio dubbing.

Try building with the new audio models now via the Gemini API in @GoogleAIStudio.
https://t.co/vylZ0a1s7n

[Arena.ai @arena]

Claude Opus 5.5 by @AnthropicAI is now in the Agent Arena!

Your votes drive the @arena leaderboards, head over and bring your toughest prompts.

In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology.

In addition to Agent Arena, @claudeai Opus 5.5 is in Battle Mode for: WebDev, Text, Vision, and Document.

[GitHub @github]

🚀 @AnthropicAI's Claude Opus 5.5 is now generally available in GitHub Copilot.

Our early testing shows it stands out in efficiency, delivering task resolution comparable to Claude Opus 5 while using significantly fewer steps and tokens, with fast error recovery on multistep tasks.

Try it out for agentic coding, long-running agentic tasks, and knowledge work. Find it in the GitHub Copilot app, CLI, and @code.
https://t.co/tt9Pf4wAmv