Did Alibaba simply kneecap its highly effective Qwen AI crew? Key figures depart in wake of newest open supply launch



Alibaba’s Qwen crew of AI researchers have been amongst the most prolific and well-regarded by worldwide machine studying neighborhood — transport dozens of highly effective generalized and specialised generative fashions starting last summer, most of them totally open supply and free.

However now, simply 24 hours after shipping the open source Qwen3.5 small model series—a launch that drew public reward from Elon Musk for its “impressive intelligence density”—the challenge’s technical architect and several other different Qwen crew members have exited the firm underneath unclear circumstances, elevating questions and considerations from round the world about the future course of the Qwen crew and its focus on open supply.

The departure of Junyang “Justin” Lin, the technical lead who steered Qwen from a nascent lab challenge to a world powerhouse with over 600 million downloads, alongside two fellow colleagues — employees analysis scientist Binyuan Hui and intern Kaixin Li — marks a unstable inflection level for Alibaba Cloud and its function as a global open supply AI chief.

These three Qwen Workforce members introduced their departures on X at present, although they did not share the causes or whether or not or not it they had been voluntary. VentureBeat reached out to sources at Alibaba for extra information and can replace after we acquire it. Lin himself signed off with a simple post: “me stepping down. bye my beloved qwen.”

Whereas the firm celebrates a technical triumph, the sudden exit of its core management suggests a deepening rift between the researchers who constructed the fashions and a company hierarchy now pivoting towards aggressive monetization.

The departing researchers’ last reward: pocket-sized intelligence

The Qwen3.5 small mannequin collection (ranging from 0.8B to 9B parameters) represents a last masterstroke in “intelligence density” from the founding crew.

The fashions make use of a Gated DeltaNet hybrid structure that permits a 9B-parameter mannequin to rival the reasoning capabilities of a lot bigger methods.

By using a 3:1 ratio of linear consideration to full consideration, the fashions preserve a large 262,000-token context window whereas remaining environment friendly sufficient to run natively on normal laptops and smartphones — even in net browsers.

Lin, a PKU humanities graduate and polyglot, has lengthy advocated for this “algorithm-hardware co-design” to bypass compute constraints—a philosophy he detailed at the January 2026 Tsinghua AI Summit.

For the developer neighborhood, Qwen3.5 wasn’t simply one other replace; it was a blueprint for the “Agentic Inflection,” the place fashions shift from being chatbots to autonomous “all-in-one AI staff” able to navigating UIs and executing complicated code.

The enterprise dilemma

For the 90,000+ enterprises presently deploying Qwen by way of DingTalk or Alibaba Cloud, the management vacuum creates a disaster of confidence.

Many firms migrated to Qwen as a result of it supplied a “third approach”: the efficiency of a proprietary US mannequin with the transparency of open weights.

Alibaba has lately consolidated its AI efforts into the “Qwen C-end Business Group,” merging its mannequin labs with client {hardware} groups. The objective is clear: transition Qwen from a analysis challenge into the working system for a brand new period of AI-integrated glasses and rings.

Nevertheless, the reported appointment of Hao Zhou, a veteran of Google DeepMind’s Gemini crew, to lead the Qwen crew signifies a shift from “research-first” to “metric-driven” management.

Business analysts, together with these cited by InfoWorld, warn that as Alibaba pushes to meet investor demands for income progress, the “open” in Qwen’s open-weight fashions might grow to be a secondary precedence — related to what we noticed with Meta after the disappointing release of its Llama 4 AI model last spring, and subsequent reorganization of its AI division, seeing the hiring of Scale AI co-founder and CEO Alexandr Wang and following departure of preeminent researcher Yann LeCun.

Enterprises relying on the Apache 2.0-licensed Qwen fashions now face the risk that future flagships —similar to the rumored Qwen3.5-Max—can be locked behind paid, proprietary APIs to drive Cloud DAU (Each day Energetic Person) metrics.

The takeaway? For those who worth Qwen’s open supply efforts, obtain and protect the fashions now, whilst you nonetheless can.

The “Gemini-fication” of Qwen?

The inner friction at Alibaba mirrors the tensions seen at OpenAI and Google: the “soul” of the machine is typically at odds with the “scale” of the enterprise. Xinyu Yang, a researcher at rival Chinese language AI lab DeepSeek, captured this sentiment in a stark publish on X: “Substitute the wonderful chief with a non-core folks from Google Gemini, pushed by DAU metrics. For those who decide basis mannequin groups like client apps, don’t be stunned when the innovation curve flattens.”

This “Gemini-fication”—the shift towards a extremely regulated, product-centric tradition—threatens the very agility that allowed Qwen to surpass Meta’s Llama in by-product mannequin creation. For the international AI neighborhood, the lack of Junyang Lin is symbolic.

He was the major bridge between China’s deep engineering expertise and the Western open-source ecosystem. With out his advocacy, there are fears that the challenge will retreat right into a “walled backyard” technique related to its Western rivals.

‘Leaving wasn’t your selection’

The technical brilliance of the Qwen3.5 launch has been overshadowed by the heartbreak of its creators. On social media, the sentiment amongst the crew members who constructed the mannequin is certainly one of mourning quite than celebration:

Chen Cheng, a Qwen contributor, explicitly alluded to a compelled departure, writing in a publish on X: “I am actually heartbroken. I do know leaving wasn’t your selection… I actually cannot think about Qwen with out you.”

Li urged the exit signaled the finish of broader ambitions, similar to a deliberate Singapore-based research hub: “Qwen may have had a Singapore base, all thanks to Junyang. However now that he is gone, there is no motive left to keep right here.”

What occurs to Qwen’s open supply AI efforts from right here on out?

The identified info are easy: Qwen has by no means been technically stronger, but its founding core has been dismantled. As Alibaba prepares to face buyers for its fiscal Q3 earnings report on March 5, the narrative will doubtless focus on “effectivity” and “business scale.”

For the enterprises presently enthusiastic about the 60% price reductions promised by Qwen3.5, the fast future is shiny.

However for the bigger AI neighborhood, the price of that effectivity could also be the lack of the most vibrant open-source lab in the East.

As Hao Zhou takes the reins, the world is watching to see if Qwen stays a “mannequin for the world” or turns into merely a part in Alibaba’s company backside line.




Disclaimer: This article is sourced from external platforms. OverBeta has not independently verified the information. Readers are advised to verify details before relying on them.

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