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Folien0:22EN
Matthew Berman· 18. Okt. 2026DeepSeek'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.KV caching & prefix reuseInferenceInfrastruktur & Deployment
0:50EN
Matthew Berman· 2. Sept. 2026Matthew 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.Distributed training & inferenceInfrastruktur & DeploymentInference+2
0:41EN
Matthew Berman· 28. Aug. 2026Could 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.InferenceInfrastruktur & DeploymentAI agents
Folien0:48EN
Matthew Berman· 25. Aug. 2026Matthew 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.Distributed training & inferenceInferenceLocal inference+1
9 Folien13:09EN
Matthew Berman· 14. Aug. 2026AI 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.InferenceOpen-weight modelsCoding-Agenten+2
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Matthew Berman· 2. März 2026A Surprise in AI Token Usage and CostsMatthew Berman · Forward FutureMatthew Berman reacts to a rising usage bill and notes why monitoring token consumption matters.AI cost & performanceInference
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Matthew Berman· 13. Feb. 2026GPT-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.Coding-AgentenInferenceSemiconductors
2 Folien0:24EN
Matthew Berman· 26. Jan. 2026Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
3 Folien12:13EN
Matthew Berman· 15. Jan. 2026OpenAI’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.InferenceSemiconductorsOpenAI+2
Folien1:33EN
Matthew Berman· 15. Jan. 2026OpenAI’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.OpenAIInferenceSemiconductors+1
3 Folien2:05:47EN
Matthew Berman· 10. Jan. 2026AI 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.Reinforcement LearningOpen-weight modelsCoding-Agenten+2
2 Folien1:38EN
Matthew Berman· 29. Dez. 2025NVIDIA’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.SemiconductorsInferenceAI cost & performance+1
2 Folien11:34EN
Matthew Berman· 25. Dez. 2025Nvidia’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.SemiconductorsInferenceAI Strategy+1
2 Folien1:02EN
Matthew Berman· 31. Okt. 2025Inside a Cerebras Data Center in Oklahoma CityMatthew Berman · Forward FutureMatthew Berman tours the facility and explains its wafer-scale chips, racks and cooling system.InferenceInfrastruktur & DeploymentAI cost & performance
3 Folien14:07EN
Matthew Berman· 23. Okt. 2025Inside 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.SemiconductorsInfrastruktur & DeploymentInference+2
6 Folien2:03:35EN
Matthew Berman· 4. Okt. 2025Agentic 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.Agentic commerceCoding-AgentenOpen Source+2
4 Folien8:47EN
Matthew Berman· 16. Sept. 2025Why 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.InferenceAI researchObservability & Zuverlässigkeit+1
4 Folien17:51EN
Matthew Berman· 28. Aug. 2025AI 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.AI agentsOpen-weight modelsGenerative media+2
6 Folien12:10EN
Matthew Berman· 6. März 2025Mercury 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.Modelle & TrainingInferenceCoding-Agenten+2
5 Folien10:01EN
Matthew Berman· 5. Feb. 2025DeepSeek 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.Reinforcement LearningGPU programming & kernelsAI research+2
2 Folien30:29EN
Matthew Berman· 3. Jan. 2025How 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.Reinforcement LearningModelle & TrainingAI research+1
6 Folien10:39EN
Matthew Berman· 29. Okt. 2024Zamba2-7B: A Hybrid Mamba–Transformer Model Tested on Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman compares Zyphra’s efficiency claims with his own informal tests, including Python games, spatial puzzles and simple word tasks.Modelle & TrainingOpen-weight modelsBenchmarks+2
5 Folien9:38EN
Matthew Berman· 15. Okt. 2024Liquid Foundation Models: Company Benchmarks and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman reviews Liquid AI’s 2024 model and memory claims, then tries the 40B preview on coding, logic, and instruction-following prompts.Foundation ModelsEvalsBenchmarks+2
Folien0:54EN
Matthew Berman· 16. Sept. 2024OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.Modelle & TrainingInference
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