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🚨 🚨 🚨 🚨 🚨 🚨 🚨 🚨 193,072,204 $USDC (193,068,793 USD) transferred from Unknown Whale 1 to #Aave#
96% of Greens at Alvamar is already staked on ASX Capital, and 1,068 GAA have been minted so far, with minting still open at $1.00 a token. It is residential, in Lawrence, Kansas, and minting starts at $1 with the tokens landing straight in the wallet. Mint GAA at $1.00:
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Aesthetics empire opens its first wellness clinic, and it says something about where precision longevity in Southeast Asia is heading. #longevity# #wellness# #precisionlongevity# #southeastasia# @belobeauty
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DeepSeek just launched V4.1-Flash, cutting KV-cache HBM requirements by roughly 75% and persistent SSD storage by 87.5% compared with V4-Flash. Its global KV cache is down to 890 bytes per token, versus 3,514 for V4-Flash and 48,068 for V3.2. That is roughly 54x smaller than last December’s model. V4.1-Flash has 552B total parameters, but its new Causal Encoder–Decoder architecture activates just 8B when processing inputs and 16B when generating outputs. It also adds native image understanding, alongside new pretraining methods and larger-scale reinforcement learning. The memory savings matter because AI agents repeatedly reuse context from conversations, documents, code and tool results. The KV cache preserves earlier calculations so the model doesn’t have to redo all that work. At 890 bytes per token, a million tokens would occupy about 890MB of global KV cache. That excludes model weights and other memory needed to run the system. The SSD reduction comes from changing both what gets stored and where. Previously, DeepSeek kept global attention data and short-lived sliding-window attention data in its persistent SSD cache. Both typically stayed there for more than 72 hours, even though the sliding-window data was mainly useful for minutes during an active session. V4.1 moves that short-lived data into a shared pool using 10% of each server’s regular memory. Entries expire after minutes, while global context remains in persistent storage for at least 72 hours. When short-lived data is missing, a new technique called “bounded replay” reconstructs it using a limited window of tokens instead of the much larger computation previously required. Removing that data from SSDs, combined with compressing the remaining global cache, produces the reported 8x storage reduction. Reported benchmark scores include 63.9 on Humanity’s Last Exam with tools, 31.2 on Terminal-Bench 4.0 and 54.8 on Automation-Bench. V4.1-Flash is live through the API as deepseek-flash, with off-peak pricing at half the peak rate. DeepSeek is also replacing V4-Pro with V4.1-Flash starting Sept. 14, ahead of a future V4.1-Pro release. Note: These are reductions in cache requirements, not a 75% cut in total GPU memory or an 87.5% cut in all storage. They make retaining and reusing context substantially cheaper without eliminating the other costs of running an agent.
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🇯🇵 Japan's number of births rises for first time in 11 years. The total number of births in Japan from January through June was 342,068, up 0.8% or 2,788 births from the same period in 2025, marking the first rise for the first half of the year in 11 years.
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Congratulations to the No. 22 United Autosports USA LMP2 Team and the No. 068 Car Blanche GTD Team on Winning the BDO Knows Strategy Award at the 2026 Motul SportsCar Endurance Grand Prix at Road America weekend! The BDO Knows Strategy Award recognizes teams at each IMSA event who demonstrate strategic planning, agility, and resilience under pressure.
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An #Ethereum# ICO participant "0xB749" transferred all 2,680 $ETH($5.04M) to new wallets after being dormant for 11+ years. He invested only $831 in the ICO and received 2,680 $ETH — now worth $5.04M, a 6,068x return!
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Gm, Robinhood Chain casually pushing 2,023 TPS in last 24h, with an all time high of 5,068 TPS (4 weeks on mainnet). Powered by @Arbitrum Platform 🤝