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Only four NBA players have scored more points than Austin Reaves this season
"Only Joking - Maybe Not": Sotomayor Takes Aim At Supreme Court's Presidential Immunity Ruling
Only young blood can build a new NY Republican Party
Only 11 Fidelity ETFs have beaten the Vanguard S&P 500 ETF $VOO over the last 5 years. Here they are, ranked by average annual return: 1. $FENY Fidelity MSCI Energy Index ETF +23.38% 🟢 2. $FTEC Fidelity MSCI Information Technology Index ETF +17.58% 🟢 3. $FFLC Fidelity Fundamental Large Cap Core ETF +15.54% 🟢 4. $FDVV Fidelity High Dividend ETF +13.44% 🟢 5. $FCPI Fidelity Stocks for Inflation ETF +13.29% 🟢 6. $FIVA Fidelity International Value Factor ETF +13.13% 🟢 7. $FELC Fidelity Enhanced Large Cap Core ETF +12.66% 🟢 8. $FDRR Fidelity Dividend ETF for Rising Rates +12.42% 🟢 9. $FELV Fidelity Enhanced Large Cap Value ETF +12.41% 🟢 10. $FVAL Fidelity Value Factor ETF +12.36% 🟢 11. $FDMO Fidelity Momentum Factor ETF +12.28% 🟢 12. $VOO Vanguard S&P 500 ETF +12.04% 🟢
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Only thing that could be more boomer than this is a land use public meeting.
Only around 10 to 12% of the world's people live in the Southern Hemisphere.
Only ONE of the top 4 major Asian markets has escaped bear-market territory. India’s Nifty 50 just posted its best week since 2021 being a major “anti-AI trade." 6 month benchmark returns: 🇮🇳 India · Nifty 50 +2.9% 🇨🇳 Shanghai Composite Index · SSE -12.36%, 🇯🇵 Japan · Nikkei 225 −3.5% 🇰🇷 South Korea · KOSPI −31.5% The Indian index rallied 10.8% in past two weeks with a massive influx from foreign investors to close at its highest level in over 8 months. Over those same two weeks- 🔻Taiwan -13.8%, 🔻South Korea -8.8% 🔻and Japan -8.4%. Japan and Taiwan both closed more than -20% below their peaks, joining South Korea in bear-market territory. The Nifty sees little direct exposure to the falling chipmakers.
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Only 14% of companies can kill a rogue AI agent within minutes. On Beyond the Pilot Ep. #20#, Box CTO Ben Kus breaks down the “lethal trifecta,” sandboxing compromised agents, and why swapping models usually breaks the harness, not the model.
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Only 6 of ERNIE 5.5 Flash Base's 43 layers see every token individually >the other 37 squash every 128 tokens into 1 cached entry, plus a short window of recent tokens >those cheap layers get wide 512-dim heads, the 6 full-context layers get 256-dim >the 6 full-context layers use sparse attention, only over the top-k scored positions >still beats DeepSeek V4 Flash Base on 4 of 6 long-context benchmarks Baidu built the KV cache on a diet
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