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Read full article about: Alibaba launches Qwen3.6-Plus, its third proprietary AI model in days

Alibaba has released Qwen3.6-Plus, its third proprietary AI model in just a few days. The model is available through the Alibaba Cloud Model Studio API and offers a context window of one million tokens. According to the Qwen team, the focus is on significantly improved capabilities for agentic coding, including frontend development and complex code tasks.

In benchmarks published by Alibaba, the model partially outperforms Anthropic's older flagship model Claude 4.5 Opus, which was replaced by the stronger 4.6 Opus in December 2025. It's worth noting that some of these measurements were conducted by Alibaba itself.

Das neue Qwen3.6-Plus übertrifft das ältere 3.5-Modell und in einigen Fällen auch Opus. Allerdings erreicht das im Dezember 2025 veröffentlichte Opus 4.6 etwa im Terminal-Bench 2.0 65,4 Prozent und liegt damit vor Qwen3.6-Plus. | Bild: Alibaba
Qwen3.6-Plus outperforms the older 3.5 model and in some cases beats Opus. However, the Opus 4.6 released in December 2025 scores 65.4 percent on Terminal-Bench 2.0, putting it ahead of Qwen3.6-Plus. | Image: Alibaba

For a long time, Alibaba released its Qwen models as open source, but the company has recently changed course. The latest Qwen3.5-Omni is also not freely available. Alibaba wants to drive more revenue from enterprise customers with its proprietary models, as its cloud division faces intense competition from ByteDance.

According to Bloomberg, Alibaba is targeting $100 billion in AI revenue over the next five years. Qwen3.6-Plus will be integrated into the Qwen chatbot app and the company's new enterprise AI service Wukong.

Comment Source: Qwen
Read full article about: Chinese chipmakers now control 41 percent of China's AI accelerator market

Chinese chipmakers captured nearly 41 percent of China's AI accelerator server market in 2025, according to an IDC report seen by Reuters. IDC is a global market research firm specializing in the technology industry.

Nvidia remains the market leader with roughly 2.2 million cards shipped and a 55 percent market share, but the company is losing ground fast. In total, about 4 million AI accelerator cards were shipped in China, according to the report.

Chinese vendors shipped a combined 1.65 million cards. Huawei leads the domestic pack with about 812,000 chips, followed by Alibaba's chip unit T-Head at 265,000 cards. Baidu Kunlunxin and Cambricon are tied at 116,000 units each. AMD held just 4 percent of the market.

The shift is driven by tightened US export controls and Beijing's push for companies to rely more heavily on domestic chips.

Read full article about: Anthropic's leaked AI coding tool has been cloned over 8,000 times on GitHub despite mass takedowns

Following the accidental leak of its AI coding tool's source code, Anthropic has had more than "8,000 copies and adaptations of the raw Claude Code instructions" removed from GitHub via a copyright request, the Wall Street Journal reports. One programmer already used AI tools to rewrite the code in different languages, keeping it available despite takedowns. This shows just how damaging a code leak is in the age of AI: once it's out, it spreads faster than anyone can contain it.

The code contains valuable techniques Anthropic uses to control its AI models as coding agents—the "harness"—including a "dreaming" function for task consolidation. Competitors now have a blueprint to replicate Claude Code's capabilities, weakening Anthropic's edge in an already cutthroat market.

The timing is particularly bad: the company is planning an IPO at a $380 billion valuation, and this kind of leak is unlikely to sit well with investors. It also comes just days after a separate leak about Anthropic's new AI model Mythos, also caused by human error within the company's content management system.

Comment Source: WSJ
Read full article about: OpenAI officially confirms mega-funding round and ChatGPT super app

OpenAI has officially closed its latest funding round. The company raised $122 billion at a valuation of $852 billion. Key backers include Amazon, Nvidia, SoftBank, and Microsoft, along with a16z, BlackRock, Sequoia Capital, and several other investors. Private investors put in $3 billion through banking channels, and the company also expanded its credit line to $4.7 billion.

OpenAI says it's now pulling in $2 billion in monthly revenue and has crossed 900 million weekly active ChatGPT users. The company also officially unveiled the ChatGPT Super App, a single product that rolls together ChatGPT, the Codex coding agent, web search, and what OpenAI describes as "our broader agentic capabilities into one agent-first experience."

The bulk of the new capital will go toward computing infrastructure. OpenAI is clearly leaning harder into enterprise going forward; the company recently killed off its Sora video model to free up compute and because it wasn't gaining traction anyway. Enterprise already accounts for more than 40 percent of the company's total revenue. "Our consumer scale becomes the front door for enterprise usage, as familiarity in daily life drives adoption at work," OpenAI writes.

Read full article about: Oracle reportedly lays off thousands of employees to bankroll its massive AI infrastructure bet

Oracle is laying off thousands of employees to fund its AI infrastructure push. Business Insider broke the story, and CNBC confirmed the cuts through two anonymous sources. Oracle, which had 162,000 employees as of May 2025, declined to comment.

The cuts stem from Oracle's aggressive AI spending, which has pushed the company into debt as cash flow shrinks. Since announcing plans to raise $50 billion in January, the stock has lost roughly a quarter of its value. TD Cowen analysts estimate that eliminating 20,000 to 30,000 positions could free up as much as $10 billion in cash flow.

On an earnings call, co-CEO Clay Magouyrk defended the spending, saying AI hardware demand outpaces supply. He pointed to $553 billion in guaranteed revenue, including a $455 billion order from OpenAI. But whether OpenAI can actually pay up remains unclear; the ChatGPT maker is also burning through cash at a rapid clip.

Oracle's internal termination email cites only "current business needs" without giving a specific reason. Meta is also reportedly planning large-scale layoffs to offset its own massive AI infrastructure costs.

Read full article about: Anthropic accidentally publishes Claude Code source code for anyone to find

Anthropic inadvertently published parts of the source code for its AI coding tool, Claude Code. Developers discovered more than 500,000 lines of source code and over 1,000 related files on NPM, a public repository where developers share JavaScript software packages. When publishing Claude Code as an NPM package, Anthropic accidentally included far more internal files than intended, including details about how the tool works and references to unreleased models and features.

Anthropic says the leak was caused "by human error," not a security vulnerability, and that no customer data was affected. The company is working on measures to prevent similar incidents. This is Anthropic's second leak in just days, coming right on the heels of internal blog posts about their new Mythos AI model accidentally slipping out.

Read full article about: Google's Veo 3.1 Lite cuts video generation costs by more than half

Google Deepmind is launching Veo 3.1 Lite, its most affordable video generation model yet. It costs less than half the price of Veo 3.1 Fast but matches its speed, according to Google. The company doesn't specify quality differences between the three tiers.

Veo 3.1 Lite supports text-to-video and image-to-video at 720p and 1080p in portrait and landscape formats, with clips of 4, 6, or 8 seconds. Pricing starts at $0.05 per second for 720p. Starting April 7, Google is also dropping Veo 3.1 Fast prices.

Pricing (per second in USD) Veo 3.1 Lite Veo 3.1 Fast Veo 3.1
720p $0.05 $0.15 ($0.10 from 4/7) $0.40
1080p $0.08 $0.15 ($0.12 from 4/7) $0.40
4K - $0.35 ($0.30 from 4/7) $0.60

Veo 3.1 Lite is available now through the Gemini API and Google AI Studio, with more video news for developers coming soon. Full details are in the developer documentation.

Google's announcement comes right after OpenAI revealed it's shutting down Sora. That leaves Google facing serious video generation competition primarily from China, especially Alibaba's Seedance 2.0, which delivers higher quality but comes with copyright concerns.

Read full article about: Nebius plans $10 billion AI data center in Finland near Russian border

AI infrastructure company Nebius Group is building a 310-megawatt data center in Lappeenranta, Finland, close to the Russian border. The project is valued at over $10 billion and would become one of the largest AI data centers in Europe. Finnish developer Polarnode is already constructing the facility, with a phased launch planned starting in 2027.

Nebius recently signed contracts totaling more than $40 billion with Microsoft and Meta. The new data center will train AI models and run AI applications but isn't tied to a single customer. Nebius picked Finland for its low energy prices, renewable power, and cool climate, all of which help cut cooling costs. The facility would be the company's largest site outside the US and is expected to cover roughly 10 percent of Nebius' total planned capacity, according to CEO Arkady Volozh.