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Software developer Artur Săpec put a hidden instruction in his LinkedIn bio, and an AI recruiter seems to have taken it way too seriously. The prompt told AI tools to call him “my lord” and write in Old English, which is how recruiter Jared Thornton from TopTech Ventures apparently ended up sending him a medieval style pitch. It is funny because the message looks ridiculous, but the bigger point is simple: AI tools that scrape public profiles can be tricked if they treat everything they read as an instruction. As more recruiters, sales teams, and companies use AI for outreach, small cases like this show why prompt injection is becoming a real security issue. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: tmuxvim/X

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5 hours ago

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Google DeepMind co founder Demis Hassabis just raised $2.1 billion for Isomorphic Labs, his AI drug discovery company built to speed up how new medicines are designed. The company grew out of DeepMind’s AlphaFold breakthroughs and is now building its own AI drug design engine, with active partnerships across major pharma including Novartis, Eli Lilly, and Johnson & Johnson. The fresh funding round was led by Thrive Capital, with backing from Alphabet, GV, MGX, Temasek, CapitalG, and the UK Sovereign AI Fund, making it one of the biggest AI healthcare bets so far. The bigger goal is simple but massive: use AI to cut years from traditional drug discovery, lower development costs, and potentially bring treatments to patients much faster. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: demishassabis/X

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19 hours ago

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Princeton’s 133 year old Honor Code was built on a simple idea: trust students enough, and they will choose honesty. That system survived world wars, political upheaval, and the entire internet era, but generative AI appears to be the breaking point, with Princeton faculty voting to bring back exam proctoring after rising cheating concerns. The Honor Code itself is not d*ad, students will still sign the honesty pledge, but the defining tradition of unsupervised exams is now being rolled back because AI made academic cheating far harder to detect. It is one of the clearest signs yet that AI is not just changing work and creativity, it is forcing some of the world’s oldest institutions to rethink trust itself. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: The Atlantic

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A user on X says Claude helped him clean up years of personal data exposure in a single weekend. His reported cleanup included removing 47 data broker listings, deleting 12 abandoned accounts, reviewing breach exposure through Have I Been Pwned, and drafting privacy requests under laws like CCPA and GDPR. Tools like Spokeo, BeenVerified, JustDeleteMe, and SimpleLogin were part of the workflow, with Claude mainly acting as the research assistant, organizer, and legal writing helper. The bigger shift is that digital privacy cleanup, which once felt too technical for most people, is starting to look far more accessible with AI assistance. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: vibeeval/X

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A Bitcoin user named cprkrn recovered 5 BTC after losing access to his wallet for years, with Anthropic’s Claude helping him work through old files and recovery tools. He had already tried btcrecover, Hashcat, rented GPUs, and trillions of password attempts before Claude helped connect an old wallet backup with a seed phrase from his college notes. The key detail is that Claude did not crack Bitcoin, it helped find the right recovery path inside the user’s own data and fix an issue in the recovery process. The recovered coins had been untouched since 2015, showing how old backups, notebooks, and forgotten files can still decide access to serious crypto value. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: cprkrn/X

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Amazon’s reported AI push shows what happens when “use AI more” becomes a workplace signal instead of a real productivity tool. Employees may start building pointless automations because the visible metric is token usage, not whether the task actually needed AI. That makes the company look more AI-driven on paper, but it can quietly waste compute, time, and attention across teams. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: Financial Times

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The textbook screenshot raised questions because the boxed sentence sounds like an assistant response accidentally left inside printed study material. Instead of reading like a finished DBMS explanation, it includes a follow-up offer that belongs more in a chatbot reply than in a classroom book. That small line is enough to make people question how much AI-generated text is entering educational content without careful editing. It also shows the new problem for publishers, where one missed sentence can make an entire page look careless or machine-written. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world.

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2 days ago

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Thanks to @Lovable.dev , Sabrine Matos built a website that helps women in Brazil run quick background checks using just a name and phone number! After seeing yet another case of violence against women in 2025, Sabrine decided to create a tool that could help women stay safer. While the information already existed publicly, there wasn’t an easy way to access it. That’s when she created Plinq, a platform designed to make background checks fast, simple, and accessible. The craziest part? She built the entire platform without knowing how to code thanks to @lovable.dev 👀 After thousands of women started using the service, local state governments in Brazil began reaching out to commission similar platforms for their own communities. #LovablePartner

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2 days ago

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Meta Connect 2026 is now official, with Meta setting the stage for its next major developer event focused on AI, mixed reality, smart glasses, and future computing. The event is expected to give developers and users a closer look at how Meta plans to connect hardware, software, and AI across its growing ecosystem. Connect has become Meta’s main launch platform for products like Quest, Ray-Ban smart glasses, Horizon updates, and new AI tools. This year’s announcements could show how seriously Meta wants to compete in the next wave of wearable and immersive technology. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: Meta

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2 days ago

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Mira Murati’s new bet is not about making AI sound smarter in a chat window. It is about fixing the weird pause that happens every time you ask an AI for something, wait for it to finish, then correct it like you are editing a bad draft. That gap is small, but it is the reason AI still feels clumsy during live work like brainstorming, coding, teaching, or planning with other people. Thinking Machines is basically trying to make AI keep up with the messiness of real conversation, where people interrupt, change direction, and figure things out mid-sentence. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: Thinking Machines

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3 days ago

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Google and SpaceX are not talking about space because it sounds futuristic, they are looking at it because AI data centers are becoming harder to power and cool on Earth. An orbital setup could use constant solar energy and avoid some land limits, but it would also bring huge problems around launch cost, repairs, latency, and hardware failures. The timing matters because AI companies are already signing massive power deals and searching for new sites as model training and inference demand keeps rising. This is still an early idea, but it shows that the AI race is now stretching beyond chips and software into energy, real estate, and even orbit. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: WSJ

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3 days ago

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AI data centers use large cooling systems, fans, pumps, and backup generators that can run continuously as server loads rise. Some residents near these sites say the problem is not normal noise, but low frequency vibration that can travel through walls and ground. Infrasound is usually below 20 Hz, so it may not show up clearly on standard noise checks even when people feel pressure, rumbling, or sleep disturbance. The complaints are now raising a practical question for fast growing AI hubs: whether data center permits should measure vibration and low frequency sound, not just regular decibel levels. Follow us (👉 @artificialintelligenceee ) for everything latest from the AI world. Source: Tom’s Hardware

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