Debate over Google’s 2025 research breakthroughs and its ad-driven business

A Hacker News thread on Google’s 2025 research recap quickly widens into a broader argument over the company’s dependence on advertising, the quality of its products, and the real-world impact of Artificial Intelligence progress.

Discussion of Google’s 2025 research breakthroughs on Hacker News begins with praise for the company’s breadth of work, from Nobel-linked quantum computing contributions to advances in healthcare, medicine, cutting edge Artificial Intelligence hardware, and high performance weather models. Commenters note that Google could have remained primarily an advertising company with a search engine, but some participants say they are glad it continues to invest heavily in long-term research and moonshot projects instead of focusing solely on rent seeking behavior. Supporters argue that Google’s recent Artificial Intelligence models, its custom tensor processing units, and work in quantum computing position it near the front of the current technological wave, with some users claiming Gemini has caught up with or surpassed rival systems in capabilities and cost.

Others push back, insisting that despite impressive research output Google’s core user facing products are deteriorating. Several commenters highlight that a modern search result often begins with a fabricated large language model answer, followed by multiple ads that resemble organic content, with the desired result pushed further down the page. Critics say this reflects a company that is still fundamentally an advertising business, with one user pointing out that in 2024, 78% of Alphabet’s revenue came from ads (72% in Q3 2025). Another commenter adds that ads now effectively act as a tax on everything from hotels to online brands, with businesses forced to bid on their own trademarks to appear in top slots, which users ultimately pay for through higher prices.

The thread expands into a debate about monopoly power, regulation, and the health of the broader economy. Some participants argue that Google’s dominance in search, browsers, mobile platforms, and web standards creates an internet toll that raises costs and starves independent publishers and news outlets of traffic, with calls to break the company up or at least limit certain business tactics. Others counter that there is meaningful competition from Microsoft and newer Artificial Intelligence companies like OpenAI and Anthropic, and that Google’s continued innovation in areas such as quantum computing, new operating systems, and hardware suggests it is not merely coasting on monopoly rents. Parallel to this, users spar over whether the economy is “tanking,” citing figures like US GDP growth of 4.3% in the 3rd Quarter 2025 while noting record consumer debt levels and rising delinquencies, and they distinguish between aggregate metrics like GDP and the lived experience of people facing high costs of living and financial anxiety.

Artificial Intelligence itself becomes a focal point as commenters debate its current usefulness and long-term significance. Some see recent Artificial Intelligence breakthroughs as potentially more consequential than advances in other fields because they could accelerate progress across the sciences, enabling projects like automated materials discovery labs targeting superconductors, solar cells, and semiconductors. Others remain skeptical, saying Artificial Intelligence systems still struggle with tasks that careful humans or traditional code can handle reliably, and urging workflows where models generate deterministic programs instead of acting directly on bulk data. The conversation also touches on quantum computing’s real-world prospects, with references to research suggesting that multiple platforms now boast >99.9% fidelity two-qubit gates, which updates expectations about fault-tolerant machines and reinforces the urgency of migrating to post-quantum cryptography. Overall, the thread juxtaposes enthusiasm for Google’s technical achievements with deep concern about its advertising-driven incentives and the broader social and economic context in which those achievements land.

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Vietnam formalizes Artificial Intelligence governance with first comprehensive AI law

Vietnam has approved its first Law on Artificial Intelligence, creating a comprehensive, risk-based framework that governs how Artificial Intelligence systems are developed, deployed, and supervised in the country. The law combines strict controls on high-risk applications with incentives, sandboxes, and funding mechanisms aimed at turning Vietnam into a regional Artificial Intelligence hub.

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