Tag: #llm
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The Stargate Project: a $500 billion bet on AI infrastructure (2025)
In January 2025, OpenAI, SoftBank, Oracle and MGX announced Stargate, a plan to invest up to $500 billion in US AI data centers, just as DeepSeek was questioning the cost of compute.
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Gemini 2.0 and the start of the agentic era (2024)
Google's Gemini 2.0, launched in December 2024, was pitched as a model for the agentic era: systems that do not just answer, but take multi-step actions on your behalf.
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OpenAI o1: models that think before they answer (2024)
OpenAI previewed a model line trained to reason through problems step by step before responding, trading speed for accuracy and reviving the idea that thinking longer can pay off.
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Gemini 1.0: Google's multimodal answer (2023)
Google rebranded its AI efforts under Gemini, a natively multimodal family meant to rival GPT-4, and learned how closely launch demos would now be scrutinised.
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Llama 2: open(ish) weights change the game (2023)
Meta released a capable language model whose weights anyone could download and build on, pushing the debate over 'open' AI to the center of the industry.
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GPT-4: the flagship that raised the bar (2023)
OpenAI's GPT-4 could read images as well as text and scored well on exams built for humans, cementing a fierce commercial race, and a secrecy that unsettled researchers.
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GPT-3: when scale became the strategy (2020)
OpenAI's 175-billion-parameter model showed that a big enough language model could learn new tasks from a few examples in the prompt, no retraining required.