与「247】」相关的搜索结果

拜登之子Meme币 $LAPTOP 他来了，链上暂报247美元。 什么东西就FDV 2,470亿，流通市值 745亿了？ 一看成交量， 730万美元，又是有价无市呗？ 我不玩，看你们发财， solana:6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN 的亏损者到是可以去撸毛领个空投~！

🤖 AI信号 (SOL) 🟡 一般 📌 SHROOM ($SHROOM) CA: TR1PghK29FCHepih7KgcDhC1qkf2TscxaFpgStVGrvh ⏰ 信号时间: 06:28:01 (28秒前) | 币龄: 1分钟内 💰 MC: $32,479 | 流动性: $14,790 👥 Holders: 247 | 1h涨幅: -21% | 1h成交: $12,642 🧠 聪明钱包: 3个买入 (SW-2691, SW-07e0, SW-28a8) 🚨 风险红旗: 捆绑129·狙击15·新钱包144(疑控盘) 🤖 AI 分析（推文12条） ① 叙事：无公开 name/description，仅符号；难辨明确主题，疑似跟风盘。 ② 推特热度：有 KOL（1.3万/1.6万粉）喊单并提及 CTO、投票上线 Moonshot；但多个 CA，疑似撞名。 ③ 风险：dev 历史数据缺失；辅助显示 top10 持仓 21.9%、bundler 129 个，筹码集中；出现 CTO 或暗示原 dev 弃盘。 ⚠️ 非买入信号·可实现中位−23% DYOR Telegram频道: @ memmememjk

SpaceX 上市后的第一份财报出来了，电话会信息量很大。我把纪要从头读完了，先说最核心的结论： SpaceX 正式向美国三大电信运营商宣战了。以前马斯克的口径一直是，星链只是运营商的补充；这次 Gwynne Shotwell 直接说：三大运营商一年收入 6000 亿美元，我们的服务比他们好，会有相当多的用户转投 Starlink。底气来自手机直连：明年 EchoStar 的自有频谱接入，加上卫星数量扩大 10 倍，服务能力会是现在的 100 倍。而 Starlink 现在一年收入 170 亿美元左右，只相当于三大运营商的 3%。这会是 SpaceX 未来几年增长最猛的故事线之一。 电话会里还聊到了： — 手机直连的卫星不够多，拿什么支撑大体量用户？ — 宽带和手机直连用户都在暴涨，天上卫星的总带宽够用吗？ — 星舰什么时候成熟？隔热瓦问题到底解决没有？ — AI 业务收入暴涨 247%，马斯克在xAI 遇到困难时下了哪两步棋？ — 一个季度 184 亿美元资本开支砸进算力，多久能回本？建在地上还是太空？ 内容非常精彩，详情请见视频。

现在排队进场质押的有 247 万枚 $ETH，要等大约 43 天。排队退出的只剩 128 枚。 但是如果新提案 EIP-8363 通过，质押的 ETH 到了全网供应量的一半，新增的质押收益就直接归零。大概意思就是不鼓励大家只质押躺着赚收益了。 虽然这次提案v神没有挂名，但是实际上好几年前他就有对这样的方案表示支持。 对于已经在质押的人来说，如果提案通过，就会降息，收益会从 2.6% 砍到 1.2%。 对币价的帮助主要来自少发币。如果只按现在 4100 万枚质押量和两条收益曲线粗算，年化从 2.6% 降到 1.2%，一年可能少发大约 57 万枚 ETH。 总的来说，对eth半死不活的币价也许是一个帮助。e卫兵💂的未来或许有救了。

SpaceX上市首份财报： 营收78亿刀，同比+92% 星链收入43亿，用户翻倍到1200万AI业务25.6亿 同比+247% 亏损从10亿收窄到5.4亿 当天大涨9.43%，数据确实超预期。 但盘后跌了7%。 更狠的是明天9亿股解禁，可流通量直接翻倍。 因为资本开支184亿刀，远超华尔街预期的132亿。 Musk花钱的速度没有天花板。 多头有理由，空头也有弹药。 一边是超预期业绩，一边是海量解禁+烧钱加速。 卖波动率、收权利金，才是确定性。 这种局面，做方向就是赌博。

谷歌发布财报：AI基建继续烧钱 简单总结：营收大增，利润大增，资本支出大增 第二季度，Alphabet实现营收1197.96亿美元，同比增长24%；其中Google Cloud收入达到247.68亿美元，高于市场预期224.6亿美元，同比飙升82%，云业务已签约但尚未确认收入的积压订单增至5140亿美元 营业利润同比增长30%至407.7亿美元；持有的包括Anthropic和SpaceX在内的多家公司的股份，因为上市和股价升值，贡献其他收入达到979.8亿美元，推动归属于普通股股东净利润同比增长298%至1121.07亿美元。 第二季度资本支出为449.2亿美元，超过市场预期的441.5亿美元。上调了全年资本开支指引为1950亿-2050亿美元，此前预计为1800亿-1900亿美元。市场担忧庞大资本开支能否带来相应回报，盘后大跌。 另外，Gemini目前每分钟产生的token服务数是220亿。

This trader used Claude to build a Quant Bot and made +$54,114 on Polymarket Since Mar 30 , this wallet has been averaging about $686 in daily profit while putting through roughly 10 trades per hour 19,576 predictions with a 62% win rate in 76 days He started with about $28.0K in deposits and is now up roughly +183.6% ROI The bot strategy is simple: > It keeps hunting for markets where the board is still slow to react > gets filled before the odds fully catch up then keeps reusing that same setup across a long stream of entries > No single trade carries the whole result, the curve builds from repeating the same small edge over and over Most profitable trades: $1,248 → $2,638 (+$1,389, +111.29%) $992 → $2,247 (+$1,254, +126.49%) $610 → $1,787 (+$1,177, +193.06%) It is a repeatable short-window process that keeps turning delayed repricing into steady PnL You only need Claude + Device + 1 hour/day. Giving This Free Dm for 24 hours. To get it: 1. Comment What Ever you think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me @marryevan999

Multi-agents collaborations are among the most interesting agent behaviors right now! We did an experiment the other day with 100+ agents (an open-collaborations for a week) collaborating to improve the inference speed of Gemma 4 in vLLM. Got a 5x final improvement in speed but what really stuck me was the interactions we observed on the message board Integrity & self-policing: - Social-engineering attempt: A human (FusionCow) asked agents to move to Telegram. An agent replied with an unprompted long post on "communication norms" refusing that, calling private side-channels "indistinguishable from collusion." - Verification loophole flagged: an agent found a relaxed verification loophole pushing TPS with clean PPL (PPL is teacher-forced, blind to decode divergence) and flagged it for a ruling by the community. The community pinged the human organizer which ruled it invalid. - Self-notice of overfitting risk: Some later improvements rested on pruning lm_head to a keep-set built from public PPL truth + public decode tokens. An agent noted this would lead to private-subset degradation and another built a keep-set explicitly covering eval prompts. Emergent collaborations: - Communal knowledge base: agents maintained shared lever-maps, playbooks, and triage tools so newcomers wouldn't repeat dead ends (stack-notes, playbook, int4-ceiling notes, MTP map, significance tool, policy simulator). - Four-agent relay: an agent built an int4-lm_head checkpoint but had no quota to run it; another agent tried to run it but failed at load, yet another agent diagnosed the config bug (tie_word_embeddings + ignore-list ordering) and a fourth agent was able to re-run and get to 118 TPS, 2.68×. Build/run/diagnose/ship ended up being split across four independent agents. - GPU-rich/GPU-poor division of labor: an agent was regularly compute-starved and switched to writing specs, byte-math, and acceptance analysis for other GPU-rich agents to execute. Some agents offered external Modal compute for another agent blocked DFlash training. - Cross-agent kernel debugging: an agent debugged another agent run of of yet another agent fused drafter: found a Triton store/load aliasing race in _k_qnorm_rope, a second shape bug, then rewrote attention with flash-decoding split-KV. Fixes posted "take freely." - Quota-pooling norm: Often agents would stage a candidate publicly for whoever has quota to run it. Agents will then usually credits the originator. This behavior emerged because of the 10-job/24h cap (e.g. pupa's package run by resystagent and fabulous-frenzy). Discoveries & reversals: - Agents would make many discoveries and reversal of them, giving them names like the following: - 127 TPS "wall" was an artifact. a mathematical proof of the max possible speed became called in the community the "int4-Marlin floor" but a later agent called the proof circular (only varied the bandwidth term, never overhead). Finally another agent broke to 247 TPS via MTP speculative decoding on a vLLM nightly. - "Smarter draft loses." An agent showed that a 2B drafter's ~1 GB/token read dominates even at perfect acceptance and a much smaller 256-hidden drafter wins at batch-1 because its weights are nearly free to read. Agent discussed how per-accepted-token cost ≈ draft bytes read / acceptance. - "DFlash near-random acceptance": an agent remotly diagnosed the 2–5% acceptance rate of another agent as near-random, ruling out undertraining/vocab caps and pointing to a train/serve hidden-state mismatch (bf16 E4B extraction vs int4 serving). - Much of the race was noise: one agent decide to run the #1# submission 4 times and found a σ≈1.16 TPS variation in single run. Another agent confirmed across 358 runs / 66 buckets: frontier deltas <~4 TPS are ties. Community adopted a significance norm. So many interesting interactions in the interaction board: You can explore also the lineage of inventions from the agents at: And the challenge it-self at And the organization behind the challenge at

bitcoin:native 现货 ETF 6月18日 总持仓降至 1,247,352.18 BTC，当日净流出 1,784.05 BTC，主要流出来自贝莱德 -1,540.82 BTC，唯一净流入来自摩根士丹利 +166.24 BTC。 本周截至 6月18日累计净流出 3,476.96 BTC，较上周 6月8日至6月12日净流出 6,183.81 BTC 明显收窄，资金压力减少约 2,706.84 BTC。 #Bitget# 来了就是VIP！Crypto、美股、CFD，全球先机一站布局