Alibaba has unveiled a new AI processor built specifically for AI agents, pairing the chip announcement with a multi-year silicon roadmap and a new large language model, signalling that the company is building an integrated AI stack, not just filling a gap left by US export controls. The Zhenwu M890, developed by Alibaba’s semiconductor subsidiary […]
The post Alibaba is designing AI chips around agents, and that changes what the race is actually about appeared first on AI News.
I trust Claude Code.
Back in March, I wrote about why I pity the developers who haven’t yet jumped on the agentic coding bandwagon. I also pity the developers just starting out, who will never quite understand the power that they now have at their fingertips.
But most of all, I really pity the developers who refuse to use agentic development tools because they don’t trust AI agents.
I understand that saying I trust Claude Code is a controversial statement. I know that the coding agent isn’t perfect, that it will make mistakes, that it will “hallucinate,” and that it will not always do what you want in the way you want it done.
But you can fix that.
Start slow
But guess what? The same is true of every human developer on the planet. When you hire a new developer, especially a brand-new junior developer, they are going to make mistakes. They are going to misunderstand, and they are going to miss things that they shouldn’t.
Of course, you’ll take the time to teach this person, show the
Alibaba's Qwen team has released Qwen3.5-LiveTranslate-Flash, a real-time multimodal translation model that processes audio and video simultaneously. The model covers 60 input languages and produces speech output in 29 languages at 2.8 seconds of latency. Key additions over the previous Qwen3 version include real-time speaker voice cloning, vision-enhanced comprehension via lip movements and on-screen text, and dynamic keyword configuration for domain-specific terminology. On FLEURS and CoVoST2 benchmarks, the model outperforms major commercial alternatives. It is available as an API-only model through Alibaba Cloud Model Studio using a WebSocket-based protocol.
The post Alibaba Qwen Team Introduces Qwen3.5-LiveTranslate-Flash: Real-Time Multimodal Interpretation Across 60 Languages at 2.8-Second Latency appeared first on MarkTechPost.
Google's Gemini 3.5 Flash beats its own flagship on coding and agentic benchmarks while running four times faster and at half the cost.
The post Google Introduces Gemini 3.5 Flash at I/O 2026: A Faster and Cheaper Model for AI Agents and Coding appeared first on MarkTechPost.
Global laws are still trailing the technology when it comes to determining who is liable if an artificial intelligence (AI) agent is hacked or makes a faulty purchase. Gracie Lin says that with legal frameworks still being drafted, accountability needs to be built into the infrastructure from day one, not bolted on later. The Impasse […]
Google is sprucing up its Gemini models, revamping search, and enabling AI agents in everything. There are also some spiffy new smart glasses coming this fall.
Exclusive: Some employees will be moved to new teams focused on AI agents and cloud infrastructure
As Meta races to recenter itself around artificial intelligence, the tech giant is mandating more than 7,000 workers must move to new teams, and it’s radically changing some employees’ jobs. The Guardian has also learned that some of these reassigned employees will shift to two new teams: one building AI cloud infrastructure and another that’s building an internal AI agent codenamed Hatch.
Late last week, Meta employees received a notice that engineers had been “selected” for reassignment and would begin reporting to the cloud infrastructure and Hatch teams by the end of this week. Meta made a similar move last month when it reshuffled at least 1,000 engineers onto a new data labelling team called Applied AI, or AAI – at first giving them the option to volunteer, but later telling workers, “transfers aren’t optional.”
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