Appearances

1. September 4, 1998Google FoundedStanford graduate students Larry Page and Sergey Brin founded the search company built around PageRank—an algorithm that estimated importance from the link structure of the web. Where the leading engines of the day (Yahoo!, AltaVista, Excite) depended on human directories and keyword matching, Google's ranking was fully algorithmic and its interface stripped to a single screen. It became a leading search engine within six months.
2. February 2005YouTube FoundedThree former PayPal employees—Chad Hurley, Steve Chen, and Jawed Karim—founded a service on which anyone could upload and share video. The spread of Flash Video and the dominance of the Adobe Flash browser plugin at the time made friction-free in-browser playback possible for the first time. Google bought YouTube in 2006 for US$1.65 billion. Through the 2010s it grew into a distribution platform of broadcast-television scale.
3. April 2008Google App Engine — An Early PaaSGoogle launched App Engine, a service on which developers wrote application code that ran on Google's infrastructure. By hiding the OS and the virtual machine entirely and exposing only the application layer, it became an early implementation of what would be called Platform-as-a-Service (PaaS). Heroku, Cloud Foundry, and AWS Elastic Beanstalk descend from this line.
4. September 23, 2008Android 1.0 and the HTC DreamThe first shipping device—HTC Dream, sold in the US as the T-Mobile G1—running the OS Google had acquired with the 2005 purchase of Android Inc. A Linux kernel, a Java VM (later replaced by the Android Runtime), and a custom UI stack: Google's strategy of supplying an open-source smartphone OS was the inverse of Apple's, and over the next decade and a half grew into an ecosystem accounting for more than 70% of the world's smartphones.
5. November 2009Go Released — GoogleA systems programming language designed at Google by Robert Griesemer, Rob Pike, and Ken Thompson (the UNIX author). Starting from frustration with C++ build times and complexity, it combined garbage collection, lightweight concurrency via goroutines, and a deliberately simple syntax. Most of the cloud-native infrastructure of the 2010s—Docker, Kubernetes, Terraform, Prometheus—is written in Go.
6. June 4, 2010Samsung Galaxy S Launches — The Android Empire's Real BeginningSamsung Electronics launched the Galaxy S (GT-I9000) in Europe on 4 June 2010, with the United States following from later that summer. A 4-inch Super AMOLED screen, a 1 GHz Cortex-A8 (Hummingbird) SoC, Android 2.1 Eclair (later updated to 2.3) — Samsung's first serious Android flagship sold ten million units worldwide within six months. The S line has continued almost annually since, reaching the Galaxy S25 as of 2024, with cumulative S-series sales above one billion units. Through the patent litigation with Apple from 2011 (settled for billions of dollars) and the Galaxy Note 7 fires of 2016, Samsung has held the world's largest annual smartphone shipment number for more than a decade.
7. June 2014Kubernetes — Container Orchestration from GoogleGoogle open-sourced Kubernetes, a container orchestrator designed from the experience of its internal Borg system (a cluster manager it had run for years). Donated to the newly formed Cloud Native Computing Foundation (CNCF) under the Linux Foundation in 2015. By the 2020s, Kubernetes was the de facto standard for managing fleets of containers declaratively, integrated into AWS, GCP, and Azure alike.
8. March 15, 2016AlphaGo Defeats Lee SedolDeepMind's AlphaGo won its five-game series against Lee Sedol, one of the world's top Go players, 4–1. The combinatorial explosion of Go had long been thought to put a machine victory at least a decade away; the combination of Monte Carlo tree search and deep reinforcement learning broke that wall. Move 37 in Game 2—'the divine move'—introduced a placement so unlike anything a human player would have chosen that the professional Go community discussed it for weeks.
9. June 2017"Attention Is All You Need" — The Transformer PaperAshish Vaswani and colleagues at Google Brain and Google Research proposed the Transformer—a sequence-to-sequence architecture built solely on self-attention. It displaced the RNN and LSTM, the prevailing NLP architectures, with a structure that parallelised easily and trained efficiently. By 2026 the paper had been cited more than 150,000 times; every modern large language model (BERT, the GPT family, Claude, Gemini) is a descendant.
10. October 2018BERT Released — Bidirectional Transformer PretrainingJacob Devlin and colleagues at Google AI posted BERT (Bidirectional Encoder Representations from Transformers) to arXiv. By pretraining a Transformer encoder bidirectionally as a masked-language model, it rewrote scores on GLUE and other NLP benchmarks at a stroke, and established the 'pretrain-then-fine-tune' paradigm that underlies every modern LLM. With the autoregressive GPT family, it forms one of the two great currents of Transformer-based language modelling.
11. May 1, 2023Geoffrey Hinton Leaves Google to Warn About AI's DangersGeoffrey Hinton—called the 'Godfather of AI'—revealed in a New York Times interview that he had left Google after a decade so he could speak about the dangers of AI without considering how it affected Google. He said he regretted parts of his life's work, and that what he had thought was 30 to 50 years off he no longer believed was. He warned of a flood of misinformation, job displacement, and autonomous weapons. An exceptional alarm from the man whose 2012 AlexNet ignited the deep-learning revolution, it accelerated international debate on AI regulation.
12. May 2024AI Eats Search — Google AI Overviews and the Rise of PerplexityAt Google I/O in May, Google rolled out LLM-generated 'AI Overviews' atop search results across the United States. In parallel, Perplexity AI (founded 2022) grew rapidly as an 'answer engine', and OpenAI formally launched ChatGPT Search in 2025. The transition from 'search that sends you to links' to 'answer engines that show the answer directly' began in earnest, with structural consequences for publishers, the SEO industry, and online advertising. Shortly after AI Overviews launched, headline-grabbing hallucinations—'put glue on pizza', 'eat rocks'—made LLM hallucination a household problem.