<h2>Must know</h2>
<ul>
<li><strong>India’s smartphone security demands spark industry backlash</strong>: India is pushing for 83 new smartphone security standards, including source code access and 12-month device log storage, which major players like Apple and Samsung are calling unprecedented and invasive. While the Indian IT ministry publicly denies seeking source code, Reuters reports contradict this, citing leaked government documents. This regulatory overreach could expose trade secrets and create significant commercial risks for manufacturers. <a href="https://app.daily.dev/posts/C0BEamxdR" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Meta secures nuclear power for AI expansion</strong>: Meta has partnered with Vistra, TerraPower, and Oklo to secure up to 6.6 GW of nuclear energy by 2035, aiming to power its rapidly expanding AI infrastructure and data centers. This move, announced by Meta, includes extending the life of existing plants and developing new advanced reactors, primarily to support the Prometheus supercluster in Ohio. It highlights the massive energy demands of AI and Meta’s strategy to ensure a reliable, clean power supply. <a href="https://app.daily.dev/posts/elp6Y0W2r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Instagram password reset chaos and data leak claims</strong>: Millions of Instagram users received unexpected password reset emails, leading to data leak allegations from Malwarebytes, which claims to have found a 17.5 million account dataset on the dark web. Meta, however, denies any breach, attributing the emails to an external party exploiting a technical issue. This contradiction leaves users in limbo, advised to ignore unsolicited emails and enable two-factor authentication, as reported by various security experts and Meta itself. <a href="https://app.daily.dev/posts/MEOecqk3z" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Linus Torvalds uses AI for Python tooling</strong>: Linus Torvalds, creator of Linux, used Google’s Antigravity AI-assist IDE (likely Gemini) for the Python visualization tool in his new AudioNoise project, calling it ‘vibe coding’ and a streamlined way to generate code from intent. <a href="https://app.daily.dev/posts/fe8LDMARY" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>D-Wave acquires Quantum Circuits for gate-model expansion</strong>: D-Wave Quantum is acquiring Quantum Circuits Inc. for $550 million to integrate annealing quantum computing with error-corrected gate-model technology, aiming for a commercial gate-model system by 2026. <a href="https://app.daily.dev/posts/rdMlkyvEb" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Motional reboots robotaxi with AI-first approach</strong>: Motional is relaunching its robotaxi service, shifting from rules-based systems to a foundation model-based AI architecture, with employee testing starting in Las Vegas and public ride-hailing targeted for mid-2026. <a href="https://app.daily.dev/posts/JFLFFu1SK" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Wing expands Walmart drone delivery network</strong>: Alphabet’s Wing is expanding its drone delivery partnership with Walmart, adding 150 stores by 2027 to cover 10% of the U.S. population, following successful pilots and increased use of larger drones. <a href="https://app.daily.dev/posts/3ejbcGBv5" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>PostgreSQL as a Redis alternative for specific use cases</strong>: A technical article suggests PostgreSQL can replace Redis for caching, pub/sub, and job queues in small-to-medium apps by leveraging features like UNLOGGED tables and LISTEN/NOTIFY, potentially saving infrastructure costs. <a href="https://app.daily.dev/posts/X7d3O8Vu2" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Telegraf 1.38.0 tightens environment variable security</strong>: Telegraf version 1.38.0 now defaults to strict environment variable handling to prevent malicious plugin injection, requiring users to review configurations that use variables outside string contexts. <a href="https://app.daily.dev/posts/VTcea1vlc" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Gentoo Linux 2025 review highlights technical milestones</strong>: Gentoo Linux’s 2025 year-in-review showcases 112,927 commits, four new developers, finalized EAPI 9, migration planning to Codeberg, and official support for RISC-V bootable images and WSL. <a href="https://app.daily.dev/posts/19Mn2n5YA" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI code generation: the new productivity panacea (or just more distractions)?</strong>: Apparently, AI code generation tools are causing ‘dead zones’ of 5-30 seconds, leading developers to context-switch to Slack and email, thus ‘destroying deep work.’ The proposed solution? An ‘AI Detox’ protocol, which sounds suspiciously like ‘put your hands down and pay attention.’ So, AI is simultaneously generating 70-90% of production code and making us all less focused. Pick a lane, people. <a href="https://app.daily.dev/feed-by-ids?id=eC9HsHF69&amp;id=infazu71Y&amp;id=uTQFFroPQ&amp;id=LeN1TdPNx" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>GenAI projects: 80% failure rate, but it’s not the AI’s fault, it’s yours!</strong>: An anonymous expert claims 80% of GenAI projects fail, not because the models are bad, but because developers lack ‘production-ready infrastructure.’ Apparently, if you just had the right config management, LLM client abstraction, and prompt versioning, your GenAI dreams wouldn’t turn into nightmares. It’s almost as if building robust software is hard, even with fancy new tools. <a href="https://app.daily.dev/feed-by-ids?id=ExsMXw27a&amp;id=yocwu10Ql" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents: just BASH scripts with delusions of grandeur?</strong>: Turns out, Vercel and other open-source gurus are discovering that simple AI agents using BASH and Unix tools are outperforming ‘complex, over-engineered systems.’ Who knew that giving an LLM direct file access via BASH commands would be more effective than layers of abstraction? It’s almost like the Unix philosophy of ‘do one thing well’ applies to AI too. Shocking. <a href="https://app.daily.dev/posts/imAYRPlMb" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
