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46 件並び順
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Matthew Berman· 2026年10月18日DeepSeek's Memory Use: A Short Claim About KV CacheMatthew Berman · Forward FutureMatthew Berman links lower cache memory use to serving more tokens, but the excerpt does not state the comparison behind its figures.
0:50ENMatthew Berman· 2026年9月2日Matthew Berman on Using Idle Computers for AI InferenceMatthew Berman · Forward FutureBerman points to Darkbloom as a way to put spare computing capacity to work on AI models, while raising the question of how far distributed inference can go.
0:41ENMatthew Berman· 2026年8月28日Could Faster AI Agents Shift More Work to the Cloud?Matthew Berman · Forward FutureMatthew Berman reflects on a conversation about faster inference and local-computer limits. Whether the CPU is a bottleneck depends on the particular agent workload and execution environment.
0:48ENMatthew Berman· 2026年8月25日Matthew Berman on Earning From Idle Mac Compute With DarkbloomMatthew Berman · Forward FutureA proposed network of Apple Silicon Macs could serve AI inference, but the earnings shown are projections that depend on hardware, availability and demand.
13:09ENMatthew Berman· 2026年8月14日AI News: Ultrafast Inference, Claude Watermarks and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews an ultrafast coding preview, text watermarking, Grok Bot, open-weight models and Computer History.
1:24ENMatthew Berman· 2026年7月22日Matthew Berman on Using Model Routing to Reduce AI CostsMatthew Berman · Forward FutureA short, sponsored explanation of splitting planning and coding between models of different cost, with a customer savings claim from DigitalOcean.
0:24ENMatthew Berman· 2026年3月2日A Surprise in AI Token Usage and CostsMatthew Berman · Forward FutureMatthew Berman reacts to a rising usage bill and notes why monitoring token consumption matters.
0:58ENMatthew Berman· 2026年2月13日Why Inference Speed Matters for AI AgentsMatthew Berman · Forward FutureMatthew Berman argues that faster model output can make agent workflows more useful, pointing to new Claude and Codex releases in February 2026.
0:52ENMatthew Berman· 2026年2月13日GPT-5.3-Codex-Spark Brings Faster Coding InferenceMatthew Berman · Forward FutureMatthew Berman highlights OpenAI's smaller coding model and its use of Cerebras hardware for low-latency responses.
0:24ENMatthew Berman· 2026年1月26日Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.
17:44ENMatthew Berman· 2026年1月17日Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.
12:13ENMatthew Berman· 2026年1月15日OpenAI’s Cerebras Deal and the Race for Faster AI InferenceMatthew Berman, Andrew Feldman, Greg Brockman · Forward FutureMatthew Berman explains why inference speed and computing capacity matter, while a closer look at the agreement and benchmark puts his 100-times-faster scenario in context.
1:33ENMatthew Berman· 2026年1月15日OpenAI’s Cerebras Deal and the Limits of a 100× Speed ClaimMatthew Berman, Andrew Feldman · Forward FutureMatthew Berman discusses OpenAI’s 2026 agreement for Cerebras inference capacity and a speed chart. The contract and comparison require more context than the video’s headline provides.
2:05:47ENMatthew Berman· 2026年1月10日AI Agents, Open Models and Inference: Forward Future Live with Reflection AI, Microsoft and CerebrasMatthew Berman, Nick Wentz, Ioannis Antonoglou, Sam Schillace, Andrew Feldman · Forward FutureIoannis Antonoglou, Sam Schillace and Andrew Feldman discuss reinforcement learning, software workflows and AI infrastructure with Matthew Berman and Nick Wentz.
1:38ENMatthew Berman· 2025年12月29日NVIDIA’s Groq Licensing Deal and the Inference MarketMatthew Berman · Forward FutureMatthew Berman discusses why NVIDIA licensed Groq’s inference technology and hired members of its team.
11:34ENMatthew Berman· 2025年12月25日Nvidia’s Groq Licensing Deal: AI Inference, Talent and Competitive StrategyMatthew Berman, Jonathan Ross · Forward FutureGroq investor Matthew Berman examines a non-exclusive technology license and the move of senior Groq staff to Nvidia, and speculates about the future of AI chips.
1:02ENMatthew Berman· 2025年10月31日Inside a Cerebras Data Center in Oklahoma CityMatthew Berman · Forward FutureMatthew Berman tours the facility and explains its wafer-scale chips, racks and cooling system.
14:07ENMatthew Berman· 2025年10月23日Inside Cerebras’s Oklahoma City AI Data CenterMatthew Berman, Andrew Feldman, Billy Wooten · Forward FutureMatthew Berman tours the facility with Cerebras CEO Andrew Feldman and Scale Data Centers COO Billy Wooten, exploring wafer-scale chips, liquid cooling and backup power. Their performance and expansion figures are presented as company claims from 2025.
2:03:35ENMatthew Berman· 2025年10月4日Agentic Commerce, Vibe Coding and Open AI Infrastructure: Forward Future LiveMatthew Berman, Nick Wentz, Emily Glassberg Sands, Eric Simons, Matt Hicks, Alex · Forward FutureStripe’s Emily Glassberg Sands, Bolt’s Eric Simons and Red Hat’s Matt Hicks discuss payments, software creation and inference in an October 2025 livestream.
8:47ENMatthew Berman· 2025年9月16日Why Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.
17:51ENMatthew Berman· 2025年8月28日AI News in August 2025: Claude for Chrome, New Models and AI InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a browser-agent preview, model releases, reported Apple discussions and research on inference and weather.
12:10ENMatthew Berman· 2025年3月6日Mercury Coder and Diffusion Language Models: Speed, Demos and LimitsMatthew Berman · Forward FutureMatthew Berman explores Inception’s 2025 coding model, comparing iterative text refinement with autoregressive generation and examining speed claims.
10:01ENMatthew Berman· 2025年2月5日DeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.
30:29ENMatthew Berman· 2025年1月3日How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.もっと見る46 件中 24 件を表示