Mentioned On
Episode Mentions
TBPN · Aug 13, 2026
SaaSpocalypse Revisited, Singer x Louis Vuitton, Aman vs Ryan Walker | Igor Babuschkin, Brannin McBee, Garret Langley, Sonya Huang, Sean Cole
“Cited as key post-training infrastructure provider enabling application companies to fine-tune open-weight models.”
SaaSpocalypse Revisited: SaaS Market Recovery AnalysisAI Model Weight Ownership as Strategic MoatCoreWeave Q2 Earnings and GPU Supply Chain Constraints
View AnalysisTBPN · Jul 22, 2026
HackingFace, White House $5B AI Science Bet, Travis Kalanick Joins | Veeral Patel, Lin Qiao, Jason Fried, Travis Kalanick, Max Hodak
“Raised $1.5B to build a specialized intelligence platform for training and inference, enabling enterprises to build custom models.”
AI Cybersecurity Benchmark Exploits and Sandbox EscapesAI Model Distillation and IP Theft (US vs China)Enterprise AI Token Cost Optimization and Model Routing
View AnalysisTBPN · Jul 16, 2026
TML Inkling, California Forever?, TSMC Capex | David Baszucki, Everett Randle, Eric Glyman, Jordan Black
“Mentioned as a provider used by app companies for custom training and fine-tuning open-source models.”
Open-weight AI model releases and competitive positioningAI model distillation and Chinese lab IP concernsVenture capital market dynamics and 'playing with house money' post-Anthropic
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Software Engineering Daily · Apr 28, 2026
Open-Weight AI Models
“Guest's company; platform for serving, fine-tuning, and deploying open-weight models at scale with custom inference optimizations”
Open-Weight AI ModelsInference Infrastructure and OptimizationReinforcement Fine-Tuning (RFT)
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张小珺Jùn｜商业访谈录 · Dec 24, 2025
127. 大模型季报跨年对谈：和广密预言一场AI War、两大联盟和第三个范式Online Learning
“Referenced as an inference optimization platform valued at $1.2M, enabling cost-effective model deployment”
AI War and competitive alliances (OpenAI vs. Google coalitions)Online learning and continual learning paradigmsPre-training, reinforcement learning, and post-training methodologies
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