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Microsoft released a groundbreaking model that can be used for web automation, with MIT license 🔥👏 OmniParser is a state-of-the-art UI parsing/understanding model that outperforms GPT4V in parsing. 👏

473,157 просмотров • 1 год назад •via X (Twitter)

Комментарии: 9

Фото профиля merve
merve1 год назад

Model: Interesting highlight for me was Mind2Web (a benchmark for web navigation) capabilities of the model, which unlocks agentic behavior for RPA agents. no need for hefty web automation pipelines that get broken when the website/app design changes! Amazing work.

Фото профиля merve
merve1 год назад

Lastly, the authors also fine-tune this model on open-set detection for interactable regions and see if they can use it as a plug-in for VLMs and it actually outperforms off-the-shelf open-set detectors like GroundingDINO. 👏

Фото профиля merve
merve1 год назад

Here's a bunch of i/o examples for the model ⇓

Фото профиля Sar
Sar1 год назад

I saw your post and made me think of which I had just come across. Would be interested in hearing from @skyvernai about the possibility of using OmniParser to replace their current approach

Фото профиля Lisan al Gaib
Lisan al Gaib1 год назад

Incorrect, it has AGPL- 3.0 license since it is based on YOLOv8 by Ultralytics which has AGPL- 3.0 license. You can use it comercially, however your code must be publicly availabe, which makes it comercially unviable again.

Фото профиля Tarek Ayed
Tarek Ayed1 год назад

It's weird to compare to GPT-4V which is notoriously bad at image understanding and OCR, right? I'd be curious to know how it fares agains 4o, Sonnet, Gemini Flash and Pro, etc.

Фото профиля Johannes
Johannes1 год назад

Might be nice to combine with anthropic's computer use

Фото профиля Thread Reader App
Thread Reader App1 год назад

Your thread is going viral! #TopUnroll 🙏🏼@dl4senses for 🥇unroll

Фото профиля Didier Lacroix
Didier Lacroix1 год назад

@threadreaderapp unroll

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The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.

Vikram M

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