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📢今週の #潟ちゅーぶ# 🔴新潟の巨大建造物特集🔴 ゲストは声の大きさに定評がある #佐藤海里さん（NGT48）# 実は天然ガス生産量日本一 超重要エネルギー施設 #INPEX# 直江津LNG基地の 巨大タンクに #真下華穂# さん挑む 🧐空から新潟の巨大建築クイズ 📺日曜AM9:30 前回 👉

聪明的朋友可能发现了，虽然BTC最低触及了66+, 但很多山寨币并没有下跌太多，比如 $Pump一夜价格没有任何波动。 这就是我经常说的理论，山寨没有那么多货可出了，也没有做市价值。 目前山寨币指数在54，以往的下跌末期都会降到30以下。 这不是偶然，是未来的趋势，BTC的波动会大于一些山寨币，反而更适合交易者操作，山寨的流动性逐渐被吸干，一些龙头会有更好的上涨，大部分逐渐死亡，不归零但没人交易。 所以抄底时也许可以多考虑一些标的。 Sharp observers might have noticed that even though BTC dipped to the $66,000+ range, many altcoins didn’t fall all that much—for instance, the price of $PUMP remained completely flat overnight. This aligns with a theory I often discuss: there simply isn’t much supply left to dump in the altcoin market, nor is there much value in market-making for these assets. The current altcoin index sits at 54; historically, toward the end of a market decline, this figure typically drops below 30. This is no coincidence—it’s a sign of a broader trend. BTC’s volatility is now exceeding that of many altcoins, making it a better vehicle for traders. Meanwhile, liquidity in the altcoin space is gradually drying up. While a few leading tokens may still see significant gains, the vast majority are effectively dying—not necessarily hitting zero, but simply becoming illiquid with no trading activity. Therefore, when looking for "buy-the-dip" opportunities, you might want to be more selective about which assets you target.

Anthropic just published an engineering guide on how to build always-on agents. The biggest misconception: an always-on agent does NOT run 24/7. It sleeps almost all day, wakes up for short runs, saves state, and goes back to sleep. The 5 core pieces I distilled: 1. Event Inbox Put a database table between webhooks and your agent. Acknowledge webhooks fast, run only one active worker per user so runs never collide, and batch rapid messages together. 2. Timers Keep timers in a separate table from the inbox. Split them into one-off follow-ups and recurring schedules. A background poller drops due timers into the inbox. 3. Lean Memory + Dreaming Only store what cannot be looked up again: user instructions, user notes, past messages, and task progress. Load a small index at wakeup, not every file. Run periodic dreaming passes to clean out stale facts. 4. Unattended Permissions Never put raw API keys inside the agent sandbox — inject them through an outside proxy. Use Deferred Tool Calls to pause risky actions for approval without blocking the worker. 5. Outbox Queue outgoing replies so your agent paces notifications instead of spamming users at 3 AM.

CS2 Market Index Update · Monthly Current Index: 655.19 (−7.74% vs open) 4w Open: 710.19 4w High: 718.14 (+9.61% vs now) 4w Low: 654.57 (−0.09% vs now) Wider Context (12w Change): −19.32% Join our CS2 trading community →

目前本地部署的 AI 服务栈基本凑齐了，链路如下： 🎙️ ASR：QwenASR + Whisper 🗣️ TTS：IndexTTS + BreezyTTS 🎵 音乐：Yue2 + MiniMax Music 🖼️ 图像：QwenImage 2.1 🧠 LLM：Qwen3.8 27B 🎬 视频：MiniMax H3 + LTX 2.5 从语音识别、语音合成、音乐、图像、大模型到视频生成，本地自建服务一条龙

Hydrogen brings major leaps in intelligence, speed, and reliability: ⚡ Cutting-edge intelligence: Surpasses Argon on the @ArtificialAnlys Intelligence Index at default high thinking (and climbs even higher at xhigh), while finishing tasks faster than competing models in its class. 💻 Cleaner coding & debugging: More than triples 3.8 Flash on Terminal-Bench 4.1, cuts fabricated claims by more than 5X, and adapts cleanly when a tool call fails or a search returns empty. 💼 Top marks on real-world work: Ranks #1# on Vals Tax Agent Bench, ties for #1# on Vals Legal Research, and leads on AutomationBench-AA, Multimodal Knowledge Agent (MKA), and Agents' Last Exam.

Meet Gemini 4 Hydrogen: built for rapid coding, multimodal synthesis, and everyday workflows. It finishes tasks 2.5x faster than 3.8 Flash and surpasses Argon on the @ArtificialAnlys Intelligence Index.

🚨 The next 36 hours could turn into a nightmare for global markets. Three major things are coming together, and any one of them could trigger another massive selloff. FIRST, NVIDIA. Rumors are growing that Jensen Huang could be removed as CEO. Nothing is confirmed, but if NVIDIA loses the man who built the company, it could seriously damage confidence in the entire AI trade. And right now, AI stocks are the biggest drivers of global markets. SECOND, BITCOIN IS FACING ANOTHER MAJOR THREAT. MSCI will exclude Strategy and other crypto treasury companies from its indexes, forcing index funds to sell their shares. Meanwhile, STRC is trading below its $100 target price, making it harder for Strategy to raise fresh money through that route to buy more Bitcoin. That could put one of Bitcoin's biggest corporate buyers on the sidelines. THIRD, TOMORROW'S PPI INFLATION REPORT. CPI has already come in hotter than expected. Another inflation surprise could increase fears of a larger Fed rate hike. And with the US-Iran conflict still unresolved and Trump calling for no deal with Iran, markets are already dealing with enough uncertainty, and any surprise could be a disaster.

BREAKING: 📰 Strategy holds over 850,000 Bitcoin, MSCI ruled it looks more like investment fund than an operating business, dropping it from its USA index at November 30 close. JPMorgan once estimated $2.8B passive selling, though that’s only estimate and no BTC must be sold. Will other index providers follow? #MHXbeyond# #Bitcoin#

Today, @llama_index is an applied research lab for document OCR and document work. Our core focus is investing in building the best-in-class models+ agents at the pareto frontier of accuracy/cost/latency for document processing. To do this, we have to invest in all the different components around the research infra stack: 1. Building comprehensive and fair benchmarks. Today we have ParseBench, ExtractBench, and ExtractBench Pro. They're already the most popular benchmarks in parsing and extraction today, and we're just getting started. 2. Investing in data curation and synthetic data generation. 3. Investing in compute and our training pipeline. This has produced models like OCRia-1. 4. Investing in agent optimization - tune everything around the models to further hillclimb cost and accuracy. 5. Closing the loop based on feedback - whether from active usage of our product, implicit/explicit customer feedback, or automated verification. We are accelerating our capabilities at a crazy pace. Today, our work is documented in our research page: There is a lot more to come!