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10 diapositives46:53EN
Matthew Berman· 15 sept. 2026Dario Amodei’s AI Pacing Proposal and the Debate over Concentrated PowerMatthew Berman · Forward FutureMatthew Berman reviews a frontier-AI safety plan, weighs international coordination and warns that regulation could reinforce incumbent control.AI SafetyAI RegulationOpen-source ecosystems+2
5 diapositives15:37EN
Matthew Berman· 4 août 2026Matthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.Open-weight modelsBenchmarksAI cost & performance+2
0:42EN
Matthew Berman· 15 juil. 2026DeepSeek and Zhipu Reportedly Explore Custom AI ChipsMatthew Berman · Forward FutureMatthew Berman discusses 2026 reports of Chinese model developers pursuing their own processors and the strategic appeal of controlling more of their AI infrastructure.SemiconductorsInfrastructure et déploiementGeopolitics
1:03EN
Matthew Berman· 15 juil. 2026Reported Chinese AI Export Discussions and a Strategic DebateMatthew Berman · Forward FutureMatthew Berman considers reported restrictions on overseas access to Chinese AI models and questions whether limiting their distribution would serve China’s interests.AI RegulationGeopoliticsOpen-weight models
3 diapositives19:49EN
Matthew Berman· 26 juin 2026Matthew Berman on Restricted AI Model Releases and the Risk of Concentrated PowerMatthew Berman · Forward FutureA June 2026 commentary argues that limited previews for frontier models could disadvantage startups and independent developers.AI RegulationAI SafetyOpen-weight models+2
6 diapositives41:05EN
Matthew Berman· 15 mai 2026Anthropic’s 2028 AI Leadership Scenarios: Chips, Open Models and a Policy DebateMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Anthropic’s US–China scenarios, questions its proposed export restrictions and argues that adoption and open-weight models matter as much as frontier capability.GeopoliticsAI RegulationSemiconductors+2
Diapositives17:26EN
Matthew Berman· 29 avr. 2026Matthew Berman on Funding US Open-Weight AI in Competition With ChinaMatthew Berman · Forward FutureBerman argues that open models face a financing problem and proposes public support, hardware-backed development and specialized models.Open-weight modelsAI StrategyGeopolitics+2
1:35EN
Matthew Berman· 27 avr. 2026DeepSeek V4 and the Cost of Frontier AI ModelsMatthew Berman · Forward FutureMatthew Berman argues that an open-weight Chinese model could put price pressure on US AI providers. The comparison depends on the workload, evaluation and cost assumptions.Foundation ModelsAI cost & performanceOpen-weight models+1
2 diapositives17:21EN
Matthew Berman· 25 avr. 2026DeepSeek V4, Model Efficiency and the US–China AI DebateMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s April 2026 V4 preview and argues that efficient open-weight models raise questions for American AI providers and policymakers.Open-weight modelsAI cost & performanceGeopolitics+2
5 diapositives13:28EN
Matthew Berman· 25 févr. 2026Anthropic’s Distillation Allegations and the Debate Over AI Training DataMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s allegations against three Chinese AI labs, the criticism of its own training practices, and the geopolitical claims surrounding the dispute.DistillationAnthropicModèles et entraînement+2
6 diapositives24:22EN
Matthew Berman· 31 janv. 2025Dario Amodei on DeepSeek, AI Costs and Chip Export ControlsMatthew Berman, Jonathan Ross, David Sacks · Forward FutureMatthew Berman examines the Anthropic CEO’s 2025 essay, the limited evidence behind distillation allegations and the economics of model training.Modèles et entraînementAI cost & performanceGeopolitics+2
4 diapositives20:34EN
Matthew Berman· 28 janv. 2025DeepSeek R1 and the Debate Over AI Costs and ComputeMatthew Berman · Forward FutureMatthew Berman examines 2025 reactions to DeepSeek, from training efficiency and market losses to open weights, privacy and the possibility of a demand rebound.Modèles et entraînementAI cost & performanceOpen-weight models+2