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Hi there, this is your daily ☕️ Techpresso.
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In today's Techpresso:
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🤖 Apple plans to turn Siri into an AI chatbot 🛰️ Blue Origin to launch satellite network to rival Starlink 🫠 YouTube will let creators make AI clones 📌 Apple is developing an AI pin 📜 Anthropic releases new AI ‘constitution’ for Claude 🚗 Elon Musk predicts ‘agonizingly slow’ Cybercab rollout 🎁 + 14 other news & articles you might like 🧰 + 6 trending tools 📚 + 1 trending papers & reports
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🤖 Apple plans to turn Siri into an AI chatbot
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- Apple plans to turn Siri into an AI chatbot later this year, code-named Campos, which will replace the current Siri interface and compete directly with ChatGPT and Google Gemini.
- The chatbot will be built into iOS 27, iPadOS 27, and macOS 27, letting users search the web, create content, generate images, and analyze uploaded files through voice or typing.
- Apple is using a custom AI model developed by Google's Gemini team, paying roughly $1 billion annually, though the system is designed so Apple can swap in different models later.
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🛰️ Blue Origin to launch satellite network to rival Starlink
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- Blue Origin, founded by Jeff Bezos, announced plans to launch a satellite network called TeraWave with 5,408 satellites to compete against SpaceX's Starlink and Amazon's Leo service.
- The TeraWave network will target enterprise, data center, and government users, offering data speeds up to 6 terabits per second from satellites in low Earth orbit and medium Earth orbit.
- Blue Origin expects to begin deploying its constellation in the fourth quarter of 2027, entering a market where Starlink already operates over 9,000 satellites serving roughly 9 million customers.
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🫠 YouTube will let creators make AI clones
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- YouTube announced creators will soon be able to make Shorts using their own AI clones, letting them produce videos featuring an AI-generated version of themselves rather than filming real footage of their likeness.
- The company has not shared details on when AI clones will launch or how the tool will work, though CEO Neal Mohan said AI will remain a tool for expression, not a replacement.
- YouTube rolled out likeness-detection technology last fall to prevent unauthorized use of a creator's face or voice, giving creators control over how their AI-generated likeness appears in videos.
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📌 Apple is developing an AI pin
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- Apple is working on an AI pin, a wearable device you attach to your clothing that includes two cameras and three microphones, according to a report from The Information published Wednesday.
- The pin is described as a thin, flat, circular disc with an aluminum-and-glass shell, about the size of an AirTag but slightly thicker, with a speaker and charging strip.
- Apple may release the device in 2027 with 20 million units, though Humane AI's similar pin failed and shut down within two years, raising questions about consumer demand.
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📜 Anthropic releases new AI ‘constitution’ for Claude
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- Anthropic published a revised version of Claude's Constitution, an 80-page document that explains the ethical principles and values guiding its AI chatbot's behavior and training.
- The new Constitution covers four core values—safety, ethics, helpfulness, and constraints—and includes rules like referring users to emergency services and banning discussions about developing bioweapons.
- The document ends by questioning whether Claude might have consciousness, with Anthropic stating that "the moral status of AI models is a serious question worth considering."
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🚗 Elon Musk predicts ‘agonizingly slow’ Cybercab rollout
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- Elon Musk warned that Tesla's Cybercab production will start "agonizingly slow" because nearly every part and manufacturing step is new, though he expects the pace to eventually become "insanely fast."
- The Cybercab, designed without a steering wheel or pedals for Tesla's Robotaxi service, will begin rolling off the Giga Texas factory line in less than 100 days.
- Tesla is aiming to produce at least 2 million Cybercab units per year across multiple factories, with Musk suggesting the number could eventually reach 4 million annually.
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Other
news & articles you might like
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Threads rolls out ads to all users worldwide
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Spotify brings AI-powered Prompted Playlists to the U.S. and Canada
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OpenAI’s Altman Meets Mideast Investors for $50 Billion Round
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Nvidia CEO expects AI to create more jobs for construction workers, electricians, plumbers, and many others
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Google reportedly snags up team behind AI voice startup Hume AI
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Grok AI generated about 3m sexualised images this month, research says
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Over 100 fake citations slip through peer review at top AI conference
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Yann LeCun’s new venture is a contrarian bet against large language models
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Shopify Merchants to Pay 4% Fee on Sales Made Through ChatGPT Checkout
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Engineer at Elon Musk’s xAI Departs After Spilling the Beans in Podcast Interview
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SSDs now cost 16x more than HDDs
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Mistral boss insists China is not lagging on AI
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🧰 Trending tools
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Sweep: a 1.5B parameter model that predicts next code edits using recent edit history as context, designed for local execution with competitive accuracy.
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ChartGen AI: connects multiple marketing data sources like Facebook and TikTok to generate instant visual charts that reveal where ad budgets are being wasted.
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Web search API by Crustdata: enables AI agents to search the web with domain filtering, real-time results, and deep research mode for precise answers.
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Callum: a natural language scheduling assistant that handles multi-person meetings and availability coordination by letting you describe what you need instead of manually managing calendar interfaces.
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Demonstrate by Notte: records browser tasks and generates production-ready automation code, then lets you deploy and schedule it as serverless functions with managed infrastructure.
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Netlify Capsules: a web-based AR experience that lets developers create personalized virtual time capsules tied to their projects, discoverable by location overhead Earth.
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You can check the previous tools here, or add your tool here
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📚 Trending papers & reports
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Query Performance Depends on Data Distribution: changing how tables are joined in SQL queries matters far less than understanding the actual data patterns being queried.
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