Deep Tech Funding News
Deep tech startups tackle hard science and engineering problems, and their funding rounds signal where breakthrough innovation is headed. This section gathers news on venture capital, grants, and strategic investments across areas such as quantum computing, robotics, semiconductors, biotech tools, and advanced materials.
Typical stories include a quantum hardware company closing a Series B, a robotics firm landing strategic backing from an industrial giant, or a national program funding chip research. Because deep tech timelines run long, the mix also features government grants, corporate venture arms, and specialist funds built for patient capital.
Founders, investors, and researchers follow this coverage to see which technical bets are attracting money and which are stalling. Funding activity in these fields often previews the products and industries of the next decade, making it a useful early indicator well beyond the startups themselves.
How Universities Should Prepare Founders
2026-08-25Universities should prepare founders by prioritizing deep technical expertise and transferable meta-skills over generic entrepreneurship degrees. As modern startups become increasingly capital-intensive, advanced studies like PhDs are highly valuable for teaching students how to learn and tackle complex problem spaces. Ultimately, higher education should focus on foundational skills like critical inquiry and narrative building rather than hyper-specific, role-based qualifications.
HN: The Good Parts (2016)
2026-08-22A Hacker News user shared a curated collection of their favorite comments alongside a tip for tracking them using the platform's timestamp feature. The thread also revisited a 2016 article regarding the tech industry's good parts, prompting readers to reflect on how the best aspects of the field prioritize deep technical discussions over superficial workplace perks.
Auto-research with codex: How I achieved a 232x Faster Kernel
2026-08-15A developer recently shared how they leveraged Codex for automated research to optimize a computational kernel, achieving a remarkable 232x performance speedup. The article details the iterative process of refining AI prompts and learning to ask better questions, demonstrating the growing capability of code models to autonomously drive deep technical research.
Teach yourself programming in ten years (1998)
2026-07-29Peter Norvig’s classic 1998 essay on learning programming has resurfaced for discussion, sparking debate over the impact of artificial intelligence on the profession. While some readers lament that LLMs have diminished the joy of tinkering and made deep technical mastery feel obsolete, others urge developers to continue honing their skills the traditional way. These advocates argue that resisting the urge to rely entirely on AI is essential to prevent skill degradation and maintain the intrinsic rewards of lifelong learning.
Colossus: The Forbin Project
2026-05-17Online readers are discussing the 1970s science fiction film Colossus: The Forbin Project and the broader golden age of cerebral, psychological sci-fi that preceded the modern blockbuster era. The conversation highlights the movie's prescient exploration of artificial intelligence and constant surveillance, contrasting these deep technological anxieties with the action-driven narratives that emerged in later decades. Participants also recommend related retro science fiction works that similarly question the nature of reality, simulation, and machine-controlled intelligence.
Software Internals Book Club
2026-05-12The Software Internals Book Club engages hundreds of developers in deep technical discussions on complex software books via a dedicated mailing list. Reader discussions highlight community interest in accessing archived comments and joining future cohorts, while also sparking technical debates about the complexities of email validation and the need for updated networking literature.