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@andrewgwils
Research Lead @perplexity_ai. Professor of machine learning at NYU Courant.
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Reuters reports SoftBank and MGX are in talks to join the round, which could value OpenAI above $1.4 trillion.
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A user says they're excited for the future but grateful to have experienced research before large language models.
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A user predicts that a chemist using AI will simply be called a chemist, not an “AI scientist.”
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A user says they overheard the child discussing SFT versus RL, then joked it was time to restart the simulation.
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A post links to a photo without offering any explanation beyond 'hmm.'
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A user pairs the joke about talk titles with a photo link.
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A user says they’re enjoying the setup, though they leave open whether the agents are doing anything productive.
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A user welcomes the perceived change, recalling questions about whether someone 'respects language.'
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An organizer said the workshop would feature speakers, oral talks and a panel in Continental Ballrooms 2 and 3.
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Usage policy update adds new rules and highlights the potential for misuse.
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The author says language-model editors often made strong abstracts worse and pointed readers to a COLM 2026 poster.
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A user joked that every second word they heard in the background at an SF bar was “AI.”
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One user says Astra and the new sol make long automated research loops hard to follow; a reply strongly prefers Astra’s writing to 5.6 sol’s.
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The writer says they can't bring themselves to read the emails and has shared advice on writing cold emails in the age of AI.
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Researchers tested brief training on synthetic, non-natural-language data before pre-training models ranging from 500M to 7B parameters.
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A researcher says they received the second annual Google ML and Systems Junior Faculty Award for that work.
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Perplexity describes the fellowship as a program for early-career STEM talent and says it reviews applications on a rolling basis. A post promoting it highlights architecture design, multi-agent collaboration and synthetic data as research areas.
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A user said it was “weird” to find themselves agreeing with Karp again.
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A user asks readers to choose the five largest advances in AI research over the two years leading up to September 2026.
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A user looks back on when training on a million data points was something to boast about in an abstract.
