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@mcwind_official: #daotaomchype #daymchype #rapvinahouse #mchypevietnam #mcwind
MC WIND OFFICIAL
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Tuesday 01 September 2026 09:00:37 GMT
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DJ Tha Muzik :
MC HAY QUÁ
2026-09-02 10:55:10
2
Phạm Tuấn Bách :
hiom nay ta đi vô bar
2026-09-01 12:02:06
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Three enterprise plays landed in September 2026. Not separate moves. A complete takeover. OpenAI Managed Agents (Sept 29 DevDay) One-click AI agent deployment. Customizable environments, skills, plugins. No orchestration required. What changed: Building agents used to mean months of integration work. Now: point-and-click. OpenAI is copying Anthropic’s playbook (managed agents already GA), but with GPT-4 Astra’s computer-use capabilities built in. Timeline: Announced Sept 29, GA Q4 2026. Impact: Agents move from “advanced dev feature” to “standard enterprise service.” Google TPU 8i (Available Now) Inference-specific chip. Designed for serving agents at scale. Key specs: • 384 MB on-chip SRAM (3x Ironwood) • 288 GB HBM • 19.2 Tb/s ICI bandwidth • Collectives Acceleration Engine (5x latency reduction) Performance: 80% better cost-per-token vs TPU 7x. Translation: $2 trillion in annual AI compute budgets → $400 billion in savings over a decade. Adoption: Anthropic confirmed as largest customer (1M+ TPUs). Anthropic $517 Billion Compute (Sept 6 Reported) Locked in 14.8 gigawatts of capacity in 11 months. Major partners: Amazon/Google (11 GW, $300B+), Microsoft ($30B), SpaceX ($45B), Lambda ($35B), nScale ($45B), Volta ($10B), Fluidstack (~$5B). Timeline: Capacity phased in through 2030. Context: Anthropic revenue $65B annualized (surpassed OpenAI’s $40B). Betting on 10-year infrastructure runway. Risk: $40-50B/year fixed cost for the next decade. Advantage: Supply locked before the next shortage hits. The Stack: 1. OpenAI: Agent platform (remove complexity) 2. Google: Inference hardware (remove latency) 3. Anthropic: Locked supply (remove scarcity) Together: Complete enterprise AI infrastructure. Swipe for breakdown. 💬 Which move changes your business most? #AI #Enterprise #Infrastructure #Agents #Technology
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