@marktenenholtz
Member of Technical Staff @perplexity_ai
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His early-access testing favored one agent for coding projects, but clear goals and human oversight still mattered.
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Perplexity’s Teammates can monitor and manage market orders for users, Arav Srinivas says.
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Prime Intellect says revisions to AutomationBench’s tool descriptions, tasks and graders drastically changed model scores.
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The reported MATH-500 score rose from 7.9% to 48.1% with the same sampling settings.
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Particle says Particle-1 uses roughly 45% fewer tokens on average than DeepSeek V4.1 Flash across varied tasks.
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Perplexity says JOLT trains one model as teacher and student, aiming to make the teacher's feedback more useful.
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A post quotes Redpoint's Logan Bartlett saying VC incentives can favor raising and deploying more money during a bubble.
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Perplexity says the model and agent run on-device, while its separate Hybrid mode can use cloud models.
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The user says the evaluation was for a personal project and that decision models have a long way to go.
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A quote post says the task is to forecast crypto coins with a holdout set from 2024.
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Artificial Analysis says Exa's auto mode with Dynamic Highlights scored 80 on its Search Index, tying Perplexity Search (medium).
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One post argues raw-data brokerage will commoditize, while refined post-training tasks will grow more differentiated.
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OpenAI Devs says the dot investigated the issue and started a Codex thread he could steer from his phone.
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Perplexity says Pro and Max subscribers have access; a separate post says the model is available to all users.
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Perplexity's README says SPACE uses isolated Firecracker microVMs and an HTTP API to run commands and collect output.
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A user says a student from Waterloo sent a templated AI-generated response after the user replied to an advice request.
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A user says they're playing around with the model and links to a photo.
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A post sharing a conversation with Amplitude, Deloitte and Rakuten leaders says the model scored 90%+ on data visualization evaluations.
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A user praises what people are building with EmbeddingGemma 2 and welcomes the attention embedding models are getting.
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A post argues that human tasks are now too easy to use as AI benchmarks in many domains.