Скачать или смотреть UI-TARS-1.5 - An open-source multimodal agent built upon a powerful vision-language model

https://seed-tars.com/1.5/?utm_source=alph...

If you're considering using UI-TARS-1.5 or any software project developed by companies based in or closely tied to authoritarian regimes, proceed with awareness and critical judgment. Here are a few words of wisdom:

⚠️ Use It With Eyes Wide Open
Evaluate the Tradeoffs: It's open-source, yes—but "open" doesn't always mean "safe." Scrutinize every dependency, API call, and telemetry point.

Trust, But Verify: Just because the code is on GitHub doesn't mean it hasn't been filtered, shaped, or curated. Run audits, not assumptions.

No Free Lunch: Models this capable and complex don’t come cheap. If something this powerful is free, you might be the product—or the test case.

🔐 Practical Precautions
Isolate its use—don’t plug it into your main systems or accounts.

Avoid sending sensitive data—even in local inference, watch your logs.

Fork and sanitize—strip out unnecessary phone-home code and build from source yourself.

Watch for silent updates or dependency injection over time—stay on reproducible builds.

🧭 Philosophy Check
Tools are just tools—but who builds them and why still matters.

Innovation from adversarial or opaque regimes demands an extra layer of scrutiny—not xenophobia, but geopolitically informed caution.

Stay informed. Stay free. Don't trade

*Summary of UI-TARS-1.5 Announcement*

*Overview:*
UI-TARS-1.5 is a powerful open-source *multimodal agent* developed by ByteDance, based on a vision-language foundation model enhanced with reinforcement learning. It demonstrates *state-of-the-art performance* across computer, browser, and phone interfaces, with *strong reasoning and GUI interaction* capabilities.

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🔍 *Key Features:*
Built for **virtual environments**, gameplay, and real-world tasks.
Enhanced reasoning via *“thought-before-action”* reinforcement learning.
Excels in *GUI grounding* (e.g., clicking buttons, inserting data).
Can perform complex workflows (e.g., transferring data from LibreOffice Calc to Writer).
Supports **inference-time scaling**—it gets smarter with longer interactions.

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🧠 *Benchmarks:*
*Outperforms GPT and Claude models* on multiple GUI and gameplay benchmarks.
Top scores in **OSWorld**, **ScreenSpot**, and **Android World**.
*Perfect gameplay scores* on 14 games from Poki.com, demonstrating general intelligence.
*Minecraft* tests show UI-TARS-1.5 leading in decision-making and real-time interaction with a visual interface.

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💻 *Applications:*
Use cases include desktop automation, web browsing, phone use, and gaming.
Prototype shown migrating spreadsheet data into a formatted document.
Strong *potential as a universal digital interface* for intelligent agents.

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🛠️ *Open Source & Versions:*
UI-TARS-1.5-7B is based on Qwen2.5-VL-7B and is open-sourced.
Companion app *UI-TARS-desktop* released to support community usage.
Model scales available: 7B, 72B, full UI-TARS-1.5.

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⚠️ *Limitations:*
Can potentially be misused (e.g., bypassing CAPTCHA).
Requires significant compute power.
May hallucinate or misinterpret ambiguous environments.

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📩 *Get Involved:*
Early research access available via email: *[email protected]*
Explore further:
[GitHub: UI-TARS](https://github.com)
[GitHub: UI-TARS-desktop](https://github.com)
[Hugging Face Model Hub](https://huggingface.co)