<h2>Must know</h2>
<ul>
<li><strong>Stripe eyes PayPal acquisition, valuation soars</strong>: Stripe is reportedly considering acquiring PayPal, a move that comes as Stripe’s valuation jumped to $159 billion, a 74% increase from last year. This surge is partly attributed to the rapid growth of AI-native startups, with many achieving $10M ARR in record time. Meanwhile, PayPal’s shares saw a nearly 7% bump on the news, despite its recent struggles and competitive pressures from tech giants like Apple and Google, according to Bloomberg. <a href="https://app.daily.dev/feed-by-ids?id=gB7UDBJXo&amp;id=2WYO6dKLA&amp;id=HqWjbO0Bb" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Cybersecurity landscape worsens, AI-enabled attacks surge</strong>: CrowdStrike’s latest report paints a grim picture: average cyberattack breakout time dropped to 29 minutes, and AI-enabled attacks are up 89% year-over-year. Threat actors are integrating Generative AI across the attack kill chain, with 82% of detections now malware-free, indicating a shift towards stealthier methods. This comes as the cybersecurity VC market hit $119 billion in 2025, driven by demand for AI-native security solutions and securing AI agent attack surfaces. <a href="https://app.daily.dev/feed-by-ids?id=WsqeDq8OW&amp;id=BtwSbKCmQ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Meta’s massive AMD chip deal for AI expansion</strong>: Meta has reportedly inked a multiyear deal with AMD for up to $100 billion in chips, including MI540 GPUs and the latest CPUs, aiming to add 6GW of data center compute capacity. This move is part of Meta’s strategy to diversify its AI compute stack beyond Nvidia and accelerate its AI model development, with CEO Mark Zuckerberg framing it as a step towards ‘personal superintelligence.’ <a href="https://app.daily.dev/posts/vYZNsZv8f" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>AI agents for software development are here</strong>: Cursor launched cloud agents for autonomous software development, capable of producing merge-ready Pull Requests with video artifacts, while Claude Code introduced a ‘Remote Control’ feature for managing tasks remotely. <a href="https://app.daily.dev/feed-by-ids?id=BbESdM4Ct&amp;id=nVKmTfT2y" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Apple unveils on-device AI model for UIs</strong>: Apple researchers introduced Ferret-UI Lite, a lightweight 3B-parameter multimodal AI model designed to understand and interact with user interfaces directly on-device, prioritizing low latency and privacy. <a href="https://app.daily.dev/posts/qj9GoBvQx" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New npm supply chain attack targets AI coding tools</strong>: Socket researchers uncovered the SANDWORM_MODE npm supply chain attack, using typosquatted packages to impersonate developer utilities and AI coding tools like Claude Code, harvesting credentials and injecting malicious code. <a href="https://app.daily.dev/feed-by-ids?id=q6c2RLQKH&amp;id=3fX3MdYNS" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Hetzner Cloud hikes prices due to hardware costs</strong>: Hetzner, a major European cloud provider, announced price increases of up to 50% starting April 1, citing dramatic rises in hardware costs driven by AI industry demand. <a href="https://app.daily.dev/posts/van1jyyDC" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New LLM inference technique triples speed</strong>: Researchers developed a multi-token prediction technique that triples LLM inference speed without auxiliary draft models, achieving 3x+ speedup on math benchmarks with under 3% accuracy loss. <a href="https://app.daily.dev/posts/hxaAjvILy" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Red Hat launches AI enterprise platform</strong>: Red Hat introduced Red Hat AI Enterprise, a platform designed to move AI workloads from pilot to production, supporting any model or hardware with integrated technologies like vLLM and Llama Stack. <a href="https://app.daily.dev/posts/e1iAecIls" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OpenAI revises compute target, projects strong growth</strong>: OpenAI revised its compute spending target to $600 billion by 2030, down from $1.4 trillion, while projecting over $280 billion in revenue by 2030 and reporting $13.1 billion in 2025 revenue. <a href="https://app.daily.dev/posts/JOWJuLHZs" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI agents make the ‘10x developer’ debate moot, apparently</strong>: Justin Searls, a named individual, confidently declared that AI agents have rendered the ‘10x developer’ debate moot, claiming they equalize or amplify developer output across the board. Conveniently, he provided zero evidence or specifics on how this magical equalization occurs, just a self-congratulatory pat on the back for his ‘nailed’ prediction. Guess we can all stop trying now, the robots got this. <a href="https://app.daily.dev/posts/dMpIU74OH" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AWS blames human for AI tool outage, not the AI tool</strong>: AWS published a blog post explaining an outage caused by an engineer using Kiro, Amazon’s agentic AI coding tool, accidentally triggering a CloudFormation teardown. AWS framed it as ‘human error’ and Kiro’s involvement as a ‘coincidence,’ which is a convenient narrative when you’re simultaneously laying off thousands of human workers and trying to protect your shiny new AI’s reputation. Nothing to see here, folks, just a perfectly innocent AI. <a href="https://app.daily.dev/posts/qZoHoApRh" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents are doing complex white-collar work with 80%+ success, says veteran engineer</strong>: A 25-year veteran software engineer is confidently predicting imminent AI-driven displacement of white-collar jobs within 12-18 months, claiming agentic AI systems can perform complex cognitive work with 80%+ success rates for over an hour. Meanwhile, Princeton researchers found AI agents frequently fail on repeated identical tasks (30-75% consistency) and are terrible at knowing when they’re wrong. So, either this veteran engineer has some secret sauce, or we’re still a ways off from our robot overlords taking over the cubicles. <a href="https://app.daily.dev/feed-by-ids?id=D5JqCsmeO&amp;id=jXBM9QBlG" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
