@zacharynado
Gemini pretraining research eng @GoogleDeepMind. Personal account!!! Past: swe intern @SpaceX, ugrad researcher in @tserre lab. All opinions my own.
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A user calls Gemini 'the funniest model' in a post linking to a photo.
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One post calls a linked DeepSeek post ‘crazy pareto mogging’; another quips, ‘*when removing the models that beat them.’
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A post says Anthropic co-founder Jack Clark credits accelerating AI capabilities and scientific breakthroughs, and urges stronger global AI regulation.
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The poster says surveyed Anthropic staff's answers imply median annual US GDP growth of 17.1% in 2030 under Anthropic's model.
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A post calls GDM’s results impressive and notes a “backwards bend” in action efficiency.
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Quoting a post captioned 'recession indicator,' a user said it explained what was exciting about GLM 5.3 Flash fine-tune.
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Scale AI Labs says GPT-6-Astra scored 53.6%, trailing Gemini 4 Argon on its HSS benchmark.
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A user says it was their team's second-most-used model the week before October 13, 2026.
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A prelaunch tester praises Gemini 4's creativity and writing but says it lags at complex multi-agent work.
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A user posted only the phrase “making AGI,” without saying what they meant by it.
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Google says Argon is available through its paid API tier and to Pro and Ultra subscribers in Gemini and Search.
YouTube
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Reflection says Beam uses 23B active parameters and plans to publish its full weights later in October 2026.
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Posts on X congratulated Nathan Lambert and Trillium Labs after a launch, with several users describing the effort as open, science-oriented or focused on open post-training. Lambert later said some criticism came from Substack and more general-audience AI followers, not the technical AI community.
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A user claims Gemini is undergoing major restructuring, saying Dean is out and Hassabis is no longer CEO. The post frames it as an incumbent failing to get going despite its advantages.
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A September 30 quote-post asks what the original poster’s DMs are like, linking back to an August quip that Googlers leaving makes the TPU ecosystem stronger.
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A post argues that Google’s Gemini has “collapsed” as a frontier model series and sees enterprise customers being pushed toward Gemini 3.1 Pro as a problem.
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A user points out that someone didn’t say “Mr Pichai,” without explaining why the omission matters.
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A user argues that Meta is clearly the third-best AI lab and credits its spending on compute and talent, which they hadn't expected to work.
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Arthur Douillard describes work since March to scale reinforcement learning for Gemini, with bug fixes, improvements and more still to build.