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Hi there, this is your daily ☕️ Techpresso.

In today's Techpresso:

💰 Amazon acquires AI wearable maker Bee

☁️ OpenAI agrees to a $30B annual Oracle cloud deal

🛡️ Apple launches $20 subscription service to protect your gadgets

☢️ US nuclear weapons agency breached using Microsoft flaw

🤖 Alibaba launches its most powerful AI coding model

📉 Google AI Overviews reduce website clicks by almost 50%

🎁 + 17 other news you might like

🔮 + 6 handpicked research papers and tools

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💰 Amazon acquires AI wearable maker Bee LINK
  • Amazon announced it is buying Bee, the maker of a smart bracelet that acts as a personal AI assistant by listening to the user's daily conversations.
  • The Bee Pioneer bracelet costs $49.99 plus a monthly fee and aims to create a "cloud mirror" of your phone with access to personal accounts.
  • Bee states it does not store user audio recordings, but it remains unclear if Amazon will continue this specific privacy policy following the official acquisition.
☁️ OpenAI agrees to a $30B annual Oracle cloud deal LINK
  • OpenAI confirmed its massive contract with Oracle is for data center services related to its Stargate project, with the deal reportedly worth $30 billion per year.
  • The deal provides OpenAI with 4.5 gigawatts of capacity at the Stargate I site in Texas, an amount of power equivalent to about two Hoover Dams.
  • The reported $30 billion annual commitment is triple OpenAI’s current $10 billion in yearly recurring revenue, highlighting the sheer financial scale of its infrastructure spending.
🛡️ Apple launches $20 subscription service to protect your gadgets LINK
  • Apple's new AppleCare One service is a $19.99 monthly subscription protecting three gadgets with unlimited repairs for accidental damage and Theft and Loss coverage.
  • The plan lets you add products that are up to four years old, a major increase from the normal 60-day window after you buy a new device.
  • Apple requires older items to be in "good condition" and may run diagnostic checks, while headphones can only be included if less than a year old.
☢️ US nuclear weapons agency breached using Microsoft flaw LINK
  • Hacking groups affiliated with the Chinese government breached the National Nuclear Security Administration by exploiting a vulnerability in on-premises versions of Microsoft's SharePoint software.
  • Although the nuclear weapons agency was affected, no sensitive or classified information was stolen because the department largely uses more secure Microsoft 365 cloud systems.
  • The flaw allowed attackers to remotely access servers and steal data, but Microsoft has now released a patch for all impacted on-premises SharePoint versions.
🤖 Alibaba launches its most powerful AI coding model LINK
  • Alibaba launched its new open-source AI model, Qwen3-Coder, which is designed for software development and can handle complex coding workflows for programmers.
  • The model is positioned as being particularly strong in “agentic AI coding tasks,” allowing the system to work independently on different programming challenges.
  • Alibaba's data shows the model outperformed domestic competitors like DeepSeek and Moonshot AI, while matching U.S. models like Claude and GPT-4 in certain areas.
📉 Google AI Overviews reduce website clicks by almost 50% LINK
  • A new Pew Research Center study shows that Google's AI Overviews cause clicks on regular web links to fall from 15 percent down to just 8 percent.
  • The research also found that only one percent of users click on the source links that appear inside the AI answer, isolating traffic from external websites.
  • Publishers are fighting back with EU antitrust complaints, copyright lawsuits, and technical defenses like Cloudflare’s new “Pay Per Crawl” system to block AI crawlers.

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Other news & articles you might like

  • iOS 26 beta 4 adds more ‘liquid’ back to Liquid Glass design LINK
  • Proton is launching a privacy-focused AI chatbot LINK
  • PayPal World launches to let users pay globally with their domestic wallets LINK
  • Musk's xAI working to raise up to $12 billion, WSJ reports LINK
  • Apple Intelligence tries summarizing news again after botching BBC stories LINK
  • Amazon shuts down Shanghai AI research lab, FT says LINK
  • Apple and Google face more UK antitrust scrutiny over mobile ecosystems LINK
  • Apple revamps App Store rules to dodge EU fines LINK
  • Microsoft poaches 20 top AI engineers from Google’s DeepMind, including head of Gemini chatbot LINK
  • OpenAI CEO Sam Altman warns of an AI ‘fraud crisis’ LINK
  • Foldable iPhone's Display Sizes Leaked LINK
  • Google is reportedly pursuing AI licensing deals with news publishers LINK
  • Apple now allows app developers to show retention offers when users try to cancel a subscription LINK
  • xAI’s ‘Project Skippy’ Used Employee Faces to Teach Grok Human Emotions, Sparking Internal Backlash LINK
  • Palmer Luckey considering entering laptop market with fully US-made model, wants to know if you'd spend 20% more for an American-made PC LINK
  • OpenAI prepares Sora 2 to take on Google's Veo 3 LINK
  • Spotify removes AI-generated song falsely attributed to country singer who died in 1989 LINK

Trending research and tools

Any-LLM: a tool that gives developers a single, unified interface to access and switch between different large language model providers without needing a proxy server. LINK
WTFfmpeg: a command-line tool that translates plain English descriptions of video and audio tasks into executable ffmpeg commands. LINK
NonRAID: an experimental tool for creating UnRAID-style storage arrays with parity protection on Linux systems like Ubuntu, without needing the commercial UnRAID operating system. LINK
Manticore Search: an open-source database for fast search, acting as an efficient drop-in replacement for Elasticsearch that uses SQL as its native language. LINK
Liking Yellow Imply Driving a School Bus? Semantic Leakage in LLMs: this paper finds that large language models can create false associations between concepts, like inferring a person's job from their favorite color. LINK
Diffusion Beats Autoregressive in Data-Constrained Settings: diffusion models perform better than autoregressive models when training data is limited. LINK

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