<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Big Tech — The Latent Daily</title><description>What the largest technology companies are doing in AI.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/big-tech.xml" rel="self" type="application/rss+xml"/><item><title>How Big Tech plays the AI game: five strategies compared</title><link>https://thelatentdaily.com/articles/big-tech-ai-strategies-compared/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/big-tech-ai-strategies-compared/</guid><description>Microsoft, Google, Meta, Amazon and Apple are all betting on AI, but in very different ways. A guide to their partnerships, models, chips and distribution.</description><pubDate>Sun, 18 Oct 2026 05:58:00 GMT</pubDate><category>Big Tech</category><category>big-tech</category><category>microsoft</category><category>google</category><category>meta</category><category>amazon</category><category>apple</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why Google, Amazon, Microsoft and Meta design their own AI chips</title><link>https://thelatentdaily.com/articles/why-big-tech-builds-its-own-ai-chips/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/why-big-tech-builds-its-own-ai-chips/</guid><description>TPU, Trainium, Maia and MTIA: the biggest AI buyers are designing custom silicon. Here is why, what these chips do, and why NVIDIA still dominates.</description><pubDate>Sun, 18 Oct 2026 05:57:00 GMT</pubDate><category>Big Tech</category><category>big-tech</category><category>chips</category><category>nvidia</category><category>google</category><category>amazon</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Why NVIDIA dominates AI: chips, CUDA and the software moat</title><link>https://thelatentdaily.com/articles/why-nvidia-dominates-ai-cuda-moat/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/why-nvidia-dominates-ai-cuda-moat/</guid><description>NVIDIA&apos;s lead in AI rests on more than fast GPUs: the CUDA software ecosystem, networking, full systems and developer habits. How the moat formed and its limits.</description><pubDate>Sun, 18 Oct 2026 04:38:00 GMT</pubDate><category>Chips &amp; GPUs</category><category>nvidia</category><category>cuda</category><category>chips</category><category>markets</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>OpenAI: a company profile, from nonprofit lab to ChatGPT</title><link>https://thelatentdaily.com/articles/openai-company-profile-history/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/openai-company-profile-history/</guid><description>The history of OpenAI: its 2015 nonprofit founding, capped-profit shift, Microsoft partnership, GPT models and ChatGPT, the 2023 board crisis and restructuring.</description><pubDate>Sun, 18 Oct 2026 03:10:00 GMT</pubDate><category>Companies</category><category>openai</category><category>chatgpt</category><category>company-profile</category><category>history</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Google DeepMind: a company profile, from Atari to AlphaFold and Gemini</title><link>https://thelatentdaily.com/articles/google-deepmind-company-profile-history/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/google-deepmind-company-profile-history/</guid><description>The history of DeepMind: its 2010 founding in London, the Google acquisition, AlphaGo, AlphaFold and a Nobel Prize, the merger with Google Brain and the Gemini models.</description><pubDate>Sun, 18 Oct 2026 03:09:00 GMT</pubDate><category>Companies</category><category>google-deepmind</category><category>alphafold</category><category>gemini</category><category>company-profile</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>