
Today’s Highlights:
🍏 Apple Taps Nvidia for AI Siri
🧠 Anthropic Charts Path to Self-Improving AI
🧠 Mira Murati’s Lab Built AI That Responds Like Humans
🌶️ OpenAI’s AI Chip Deal Hits an $18B Financing Challenge
🛒 Alibaba Brings Qwen AI Into Taobao Shopping
💻 Perplexity Launches Autonomous AI Agents for Mac
🖱️ OpenAI Drops a Codex Chrome Extension
🪓 Cloudflare Cuts 20% of Staff as AI Boosts Productivity
Read Time: 4 mintue
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LATEST AI NEWS
APPLE
Apple is reportedly turning to Nvidia’s AI chips to power its next-generation Siri, marking a major shift in the company’s AI strategy.
The Details:
Apple is expected to use Nvidia Blackwell B200 GPUs through Google Cloud to run parts of its revamped Siri experience
The new Siri will be powered by Google Gemini models, following Apple’s multi-year AI partnership with Google
Apple reportedly chose Nvidia’s infrastructure because advanced Gemini workloads were difficult to run efficiently on its own systems
The setup will use Nvidia’s Confidential Compute technology, keeping user data encrypted while AI processing occurs
Apple is expected to unveil the upgraded Siri as part of its broader AI push at WWDC, with launch plans targeting September
The move represents a significant change for Apple, which has historically preferred to rely on its own hardware and infrastructure
Why it matters:
Apple’s AI ambitions are now too large to run entirely in-house. By leaning on Google’s Gemini and Nvidia’s chips, Apple is prioritizing AI performance over complete vertical control, highlighting just how demanding modern AI has become.
ANTHROPIC
Anthropic has published new research outlining how AI could eventually improve its own capabilities, and why that future may arrive sooner than many expect.
The Details:
Anthropic says AI is already contributing heavily to its own development, with Claude generating roughly 80% of the code used in production systems.
The company outlined a future where AI systems can design, test, and improve their own successors with minimal human involvement.
Anthropic calls this concept recursive self-improvement, where AI continuously makes itself more capable.
Researchers believe progress could eventually be limited more by compute, chips, and energy than by human engineers.
The company warns that self-improving AI could create enormous benefits in science, healthcare, and research.
At the same time, Anthropic argues the technology could increase the risk of humans losing oversight if systems become too autonomous.
The company is calling for mechanisms that would allow leading AI labs to slow or pause development if capabilities begin advancing too quickly.
Why it matters:
For the first time, a major AI lab is openly discussing a future where AI helps build the next generation of AI. If that happens, the pace of progress could accelerate dramatically, shifting the bottleneck from human talent to raw computing power
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MORE AI & TECH NEWS
OpenAI’s AI chip project with Broadcom reportedly stalled after Broadcom requested Microsoft commit to buying 40% of the first “Jalapeno” chips. The custom hardware is meant to reduce OpenAI’s inference costs, but without Microsoft’s backing, the company may need new partners or financing terms.
Meta is reportedly developing an AI assistant called Hatch that can perform tasks autonomously instead of simply answering questions. The company is also preparing AI-powered Instagram shopping tools to help users discover and purchase products conversationally before year-end.
Alibaba plans to connect Qwen AI directly with Taobao and Tmall, enabling users to browse and purchase products through conversation. The system will support over 4 billion listings alongside delivery tracking, virtual try-ons, after-sales help, and price monitoring.
Anthropic is reportedly considering raising up to $50 billion at a valuation approaching $1 trillion. Investors are attracted by rapid revenue growth, though the capital is also needed to fund the enormous compute and infrastructure costs of frontier AI.
Perplexity launched its new Mac app featuring “Personal Computer,” enabling AI agents to interact with local files, Mac apps, and the web. The system shifts AI workflows from cloud-only experiences toward persistent desktop automation running directly on users’ devices.
OpenAI released a Chrome extension for Codex that automates repetitive browser tasks across tabs and websites. The tool combines browser controls, plugins, and coding capabilities to handle workflows involving dashboards, research, and logged-in web services.
Cloudflare is laying off around 1,100 employees despite record revenue growth, saying AI-driven productivity gains reduced the need for many support roles. The company claims AI tools have dramatically accelerated software development and operational efficiency.
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