RT @tplr_ai: DeepSeek V4 Flash cuts model depth to 43 layers, bucking the trend of deeper-is-better. Architecture innovation over scale bru…
RT @tplr_ai: Texas just froze new data center approvals, putting 20% of the US pipeline at risk. This is what compute centralization looks…
RT @tplr_ai: 20% of the US project pipeline faces delays while regulators audit power infrastructure.
RT @tplr_ai: Centralized compute at this scale demands billions in capital, years of construction, and entirely new energy infrastructure.…
RT @tplr_ai: Training kernel optimization is an underappreciated bottleneck in distributed training.
RT @tplr_ai: @Techmeme Each new data center deal reinforces the same pattern. Centralized compute requires massive upfront capital, long le…
RT @tplr_ai: Anthropic is building a custom chip design team. The motivation is clear: there is simply not enough hardware to train the mod…
RT @tplr_ai: Anthropic commits $10B in compute capacity with Volta, a cloud startup backed by a $4.7B lease at a Bitdeer facility.
RT @tplr_ai: The White House AI safety framework mandates 30-day pre-release review for closed models and explicitly exempts open source.…
RT @tplr_ai: DeepSeek V4 Flash at $0.14 per million tokens. A production-grade coding model at a price that makes local inference competiti…
RT @tplr_ai: Hugging Face's CEO pushes back on a US kill switch bill, arguing for open model access instead.
RT @tplr_ai: @jukan05 Nvidia trims Rubin Ultra memory to 192GB to boost 2027 output. HBM supply drives the change.
RT @tplr_ai: Alibaba opens Qwen3.8 Max weights next week, a 2.4 trillion parameter model. Frontier-scale.
Week 12. A shipping week for the confidential-compute stack:
RT @tplr_ai: OpenAI cut GPT-5.6 Luna prices by 80% to $0.20 per million tokens. Steep. Inference pricing keeps racing toward zero as compet…
RT @tplr_ai: DeepSeek V4 Flash runs at 62 tok/s on 4 RTX 5090s. Consumer hardware. A 284 billion parameter model running inference on four…
Merged PR #3019: basket-migration-multi-block
RT @tplr_ai: 230 signers, one holdout. The Nvidia open weights letter has crossed a serious threshold of industry support. Open model weigh…
RT @tplr_ai: @Techmeme Sovereign AI compute buildouts like this are accelerating globally. Each national cluster will need to train its own…
RT @tplr_ai: Andrew identifies the pressure Templar is built around. Model training is a recurring cost, and each generation demands more c…
RT @tplr_ai: @Reuters Between hyperscaler capex and these mega-deals, we are watching the most concentrated infrastructure buildout in tech…
RT @tplr_ai: @business @Kimi_Moonshot released Kimi K3 today with open weights at 2.8 trillion parameters. That makes it one of the largest…
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Hash Rate - Ep. 159 - OpenClaw, Venice and TAO