Hacker News
- Google Gemini Eats the World https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini 21 comments
- Google Gemini Eats the World https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini 7 comments
- [D] Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini 60 comments machinelearning
- Google Gemini Eats The World – Gemini Smashes GPT-4 By 5X, The GPU-Poors https://www.semianalysis.com/p/google-gemini-eats-the-world-gemini 25 comments hardware
Linking pages
- Why Open Source AI Will Win - by Varun - Public Experiments https://varunshenoy.substack.com/p/why-open-source-ai-will-win 174 comments
- Google’s True Moonshot – Stratechery by Ben Thompson https://stratechery.com/2023/googles-true-moonshot/ 124 comments
- China AI & Semiconductors Rise: US Sanctions Have Failed https://www.semianalysis.com/p/china-ai-and-semiconductors-rise 122 comments
- RWKV: Reinventing RNNs for the Transformer Era — with Eugene Cheah of UIlicious https://www.latent.space/p/rwkv#%C2%A7the-eleuther-mafia 66 comments
- The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis https://www.latent.space/p/semianalysis 40 comments
- Nvidia’s Plans To Crush Competition – B100, “X100”, H200, 224G SerDes, OCS, CPO, PCIe 7.0, HBM3E https://www.semianalysis.com/p/nvidias-plans-to-crush-competition?post_id=137826061&publication_id=329241 36 comments
- Nvidia B100, B200, GB200 - COGS, Pricing, Margins, Ramp - Oberon, Umbriel, Miranda https://www.semianalysis.com/p/nvidia-b100-b200-gb200-cogs-pricing 19 comments
- The End of Finetuning — with Jeremy Howard of Fast.ai https://www.latent.space/p/fastai#details 5 comments
- The Key To Winning The Global AI Race https://www.noemamag.com/the-key-to-winning-the-global-ai-race/ 4 comments
- Everything about Distributed Training and Efficient Finetuning | Sumanth's Personal Website https://sumanthrh.com/post/distributed-and-efficient-finetuning/ 1 comment
- TPUv5e: The New Benchmark in Cost-Efficient Inference and Training for <200B Parameter Models https://www.semianalysis.com/p/tpuv5e-the-new-benchmark-in-cost 0 comments
- Broadcom’s Google TPU Revenue Explosion, Networking Boom, VMWare Integration https://www.semianalysis.com/p/broadcoms-google-tpu-revenue-explosion 0 comments
- How the open-source LLM ecosystem & leaderboards work https://www.interconnects.ai/p/how-the-open-source-llm-ecosystem 0 comments
- Amazon Anthropic: Poison Pill or Empire Strikes Back https://www.semianalysis.com/p/amazon-anthropic-poison-pill-or-empire 0 comments
- Techno-Optimist vs AI Doomer: Social Fabric And Media https://www.semianalysis.com/p/ai-doomer-vs-techno-optimist-social 0 comments
- Nvidia’s Plans To Crush Competition – B100, “X100”, H200, 224G SerDes, OCS, CPO, PCIe 7.0, HBM3E https://www.semianalysis.com/p/nvidias-plans-to-crush-competition 0 comments
- Smarter than humans in 5 years? The breakneck pace of AI | VentureBeat https://venturebeat.com/ai/smarter-than-humans-in-5-years-the-breakneck-pace-of-ai/ 0 comments
- Transformer inference tricks - by Finbarr Timbers https://www.artfintel.com/p/transformer-inference-tricks 0 comments
- The GPU Poor strike back - by Omar Sanseviero https://thehackerllama.substack.com/p/the-gpu-poor-strike-back 0 comments
Linked pages
- Google "We Have No Moat, And Neither Does OpenAI" https://www.semianalysis.com/p/google-we-have-no-moat-and-neither 1571 comments
- Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance – Google AI Blog https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html 279 comments
- Towards a Conversational Agent that Can Chat About…Anything – Google AI Blog https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html 152 comments
- LaMDA: our breakthrough conversation technology https://blog.google/technology/ai/lamda/ 149 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- [1701.06538] Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer https://arxiv.org/abs/1701.06538 125 comments
- GPT-4 Architecture, Infrastructure, Training Dataset, Costs, Vision, MoE https://www.semianalysis.com/p/gpt-4-architecture-infrastructure 10 comments
- https://arxiv.org/abs/2101.03961 4 comments
- Google AI Infrastructure Supremacy: Systems Matter More Than Microarchitecture https://www.semianalysis.com/p/google-ai-infrastructure-supremacy 1 comment
- [2001.09977] Towards a Human-like Open-Domain Chatbot https://arxiv.org/abs/2001.09977 0 comments
- AI Capacity Constraints - CoWoS and HBM Supply Chain https://www.semianalysis.com/p/ai-capacity-constraints-cowos-and 0 comments
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