@andrew_n_carr
co-founder leading science @getcartwheel co-founder advisor @arcade_ai Past: Codex @OpenAI, Brain @GoogleAI, world ranked Tetris player
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With both models at max effort, Ember matched Claude Haiku 5.5’s Intelligence Index score at roughly one-third the task cost.
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The model supports image inputs, with fine-tuning and inference available at launch and downloadable weights planned for later.
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The exabox’s refundable preorder deposit is $100,000; Tinycorp’s storefront marks preorders out of stock.
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Asmov-1's team reports a 0.007% error rate across all evaluation tracks and expects an open-source release in early November.
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OpenAI says eligible subscribers could start claiming the credits October 28 to build apps and agents.
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A post says Carbon scored 88.2% on SEC-bench Pro and is rolling out first to cybersecurity specialists.
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Liquid AI pitches a tri-hybrid design, single-GPU fine-tuning and on-device use without detailing hardware requirements.
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HazyResearch claims up to 31× faster generation on summarization and translation than similar-sized diffusion models, with comparable or better quality.
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In an Oct. 26, 2026, post, @qberthet described a six-month role; Google's application covers multiple research teams.
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A post says the model’s weights are available under Apache 2.0, with support for a 512K-token context window.
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A user quotes a “neolab” friend saying it could resell compute even if it fails to train the best model.
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A post cites an “explosion” of Microduck and Reachy Mini as the reason for the call.
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The Humanoid Hub says Brett sees pre-training at scale as key to winning in robotics.
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Moonshot says both versions are live on Kimi.ai, Kimi Work, Kimi Code and its API.
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NVIDIA says Vera Rubin offers Day 0 support for the model, with throughput of up to 200K TPS/GPU.
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The contest page lays out GPU-kernel and SGLang serving work, with different tests for each.
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Zhan says Sequoia, Jeff Dean, Sachin Katti and Philip Wong will be among the fund’s limited partners.
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The @flappyairplanes account names Index and Lux as co-leads and says the team spent a year on GPU primitives.
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Its developer says Flint exceeds 125 tokens per second on an M4 Pro MacBook Pro at short contexts.
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The vLLM project estimates $38.96 per GPU-hour in revenue on AgentX at 196 P90 TPS, using DeepSeek’s off-peak API pricing.