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First @tedlieu. Now @RepGraceMeng. Both Taiwanese American Democrats. The racial cover isn't even subtle. Rep. Grace Meng calls the @nvidia chip sales a "five alarm fire" and demands full transparency. Fine. Let's start with her. Let voters see how the Washington machine really works. The checks: Three @AnthropicAI employees gave her $17,000 this cycle. The PAC of Americans for Responsible Innovation (@americans4ri) added $2,000. The same donors: Those same three Anthropic employees also funded ARI's PAC—$85,000 in total. One gave Meng $3,000, then nearly $1M to Public First, an AI super PAC network. The same operative: ARI and Public First share a founder: former Democratic congressman Brad Carson (@bradrcarson). Anthropic gave Public First Action $20M, and Dario Amodei (@DarioAmodei) added $1M of his own. The same agenda: Two days after the midterms, ARI led 52 groups urging Democrats to hand out committee chairs based on AI safety positions. The seat and power: With Democrats taking the House, ARI is pushing hard for Grace Meng to chair the Commerce, Justice, Science (CJS) Appropriations subcommittee— the panel that funds the Department of Commerce (@CommerceGov). Commerce runs AI chip export controls and @NIST's AI safety work: Anthropic's top two priorities in Washington. Now she's going after NVIDIA—Anthropic's fiercest rival on export controls—and Commerce, the very agency she'll fund. Same donors. Same operative. Same agenda. Same subcommittee. No law needs to be broken. Interests find power. Power finds interests. That's the five-alarm fire. The real one. Congresswoman, you asked for full transparency. Here it is.

SpaceX has just unveiled a massive new $50 billion Supercomputing Campus that they want to build in Cochise County, Arizona. All info: • Up to 6 GW across the 9 supercomputing buildings • Construction starts 2027 • Size of each supercomputing building: ~493,000 square feet. • Total supercomputing building space: 4.44 million square feet, excluding support facilities. • SSVEC residential customers are projected to see electricity bill reductions of 10–40%. • Up to 24 GWh of grid-connected battery storage to provide backup power, stabilize the regional electric grid, support local voltage, and absorb fluctuations in electricity demand. Among the largest planned battery installations in the United States. • Additional solar generation in the region is planned to supply renewable electricity during the day and reduce demand on the local grid. • No dedicated on-site power plant or fuel storage yard is planned. • Each supercomputing building will have 10 MW of natural-gas-powered standby generation for critical equipment, operating only during utility outages and periodic testing. • No gas turbines will be installed at the site. • SpaceX plans to fund $3.6 billion in grid infrastructure upgrades, transferred to AEPCO at no cost to its members. • Up to $260 million annually in additional benefits for cooperative members at full buildout, on top of residential bill reductions. • Up to $200 million annually for cooperative members statewide, in addition to SSVEC benefits. • The supercomputers will use dry cooling with a closed-loop water circulation system rather than evaporative cooling. • SpaceX projects zero ongoing industrial water consumption. • The cooling system will be filled initially, with water reused for up to 10 years. • SpaceX estimates annual water usage equivalent to approximately 20–30 Arizona residential homes. • Projected annual water use would be less than 2.5% of a single center-pivot irrigation system's annual consumption. • Permanent jobs: Approximately 1,000. • Construction jobs: Approximately 5,500. • Annual property tax revenue: Up to $103 million in estimated new annual revenue. • Regional economic benefits: SpaceX says its investment will support public education, infrastructure, essential local services, and economic development. • Local suppliers: SpaceX is encouraging suppliers to participate in construction and development of the campus. • Noise mitigation: Equipment will be positioned away from neighboring properties where possible, with setbacks and additional screening to reduce noise. • Nighttime lighting: Outdoor lighting will remain off unless work is underway, with active lights shielded and directed downward. • Dark-sky protection: The campus will comply with Cochise County's dark-sky requirements to limit light pollution. • Nighttime construction: SpaceX says it will seek waivers when nighttime construction lighting is necessary. • Wildlife protection: The campus is being designed with consideration for the region's sandhill crane wintering habitat. This campus's purpose is to build one of the world's most advanced AI supercomputing campuses to train SpaceX's superintelligence models and support scientific and engineering breakthroughs. Learn more:

Personel alıyoruz 👤 Saat 01:00 ile 06:00 arasında uyanık kalabilir misiniz? Eğer evetse, size saatlik $30 ödeyen bir uzaktan işim var. Günde 6 saat çalışacak bazı yanıtlar arıyorum millet. Ve daha sonra DM'inizi kontrol etmeyi unutmayın ✉️

Personel alıyoruz 👤 Saat 01:00 ile 06:00 arasında uyanık kalabilir misiniz? Eğer evetse, size saatlik $30 ödeyen bir uzaktan işim var. Günde 6 saat çalışacak bazı yanıtlar arıyorum millet. Ve daha sonra DM'inizi kontrol etmeyi unutmayın ✉️

怪不得Step-5这么强，原来是掌握了蒸馏的焚决。。。 阶跃星辰团队发布论文P²-MOPD：让一个小模型同时继承多个专家模型的能力，训练时间几乎减半，能力恢复率却从 80% 提升到了 95%。 过去做这件事通常只有两条路。一条叫“任务算术”（Task Arithmetic），直接把专家模型和底座模型的权重差值按比例加起来，不用训练，但能力上限被锁死在原有权重的线性组合里。另一条叫多教师在线策略蒸馏（MOPD），让学生模型自己生成回答，再由各个领域的老师模型打分纠偏，上限更高，但学生得从零开始往每个老师的方向爬，训练慢，还很容易出现严重偏科。 论文第一作者 Sinuo Wang 在社区分享时抛出了一个很直接的问题：“如果专家模型的权重本身也能直接给学生指路，而不只是靠输出概率来监督呢？”基于这个想法，他们提出了 P²-MOPD，把学生模型的每一层线性投影拆成两部分：可自由训练的学生自身权重，加上一组冻结的专家权重差值（每个模块只配一个可学习的混合系数）。 在在线蒸馏的同一次反向传播里，学生权重和这组混合系数会一起更新。冻结的专家权重相当于给学生铺好了“参数先验”高速路，一个标量就能推着模型沿专家方向大步前进；而学生自己的权重依然保持可训练，不会被困在死板的权重合并范围里。等训练结束，混合系数直接折算回模型权重里，导出的依然是一个标准模型文件，推理阶段没有任何额外开销。 【一半步数反超，顺手治好严重偏科】 团队在 Qwen3-1.7B 和 4B 两个尺寸上，横跨医疗、法律、金融和指令遵循四个领域做了测试。从完全相同的任务算术初始状态出发，P²-MOPD 只用了一半的训练步数（实际耗时不到原方法的 55%），平均能力恢复率就已经反超了传统多教师蒸馏跑完全程的最终成绩。 跑满训练后，1.7B 模型的平均能力恢复率从传统方法的 80.9% 提升到了 94.7%，4B 模型则从 83.1% 升至 94.9%。更明显的变化在短板领域：此前传统蒸馏在最差领域的恢复率只有 32.0%（1.7B）和 47.2%（4B），用上新方法后直接拉升到了 88.0% 和 89.4%，跨领域的恢复率标准差也从二十多骤降到 5 以内。 【为什么以前总会落下几个领域】 过去大家常以为多教师蒸馏偏科是因为“不同领域的知识互相冲突”。但这篇论文通过实验证明，真正的瓶颈其实是参数空间的可达性不足：只靠常规权重更新时，学生模型在落后领域的专家方向上几乎挪不动步；而加上模块级的混合系数后，模型在专家方向上的推进距离直接放大了 13 到 15 倍（如果把专家方向换成随机方向，增益立刻归零）。 这套混合系数还展现出了很强的稳定性与可解释性。在三次不同随机种子的实验里，每个老师最终学到的平均系数误差全部在 0.01 以内；哪怕不喂任何验证集数据，梯度也会自动给最吃力的短板领域加码——比如最难啃的医疗领域，混合系数会自动从初始的 0.25 一路涨到 0.63 至 0.65。正如作者在总结里写的：“不仅专家的预测结果能监督蒸馏，专家的权重本身也可以。把它们作为可学习的先验保留在训练全程，就能指引学生往哪走。”

I asked Claude Fable 5.2 to create 100 HTML files Rules were simple: - look stunning - zero repetitive designs - go full creative mode What can I say? Anthropic has done it YET AGAIN. Just another mind-blowing model, nothing less. Fable 5.2 is the BEST MODEL I HAVE EVER TESTED on frontend web design‼️ The previous best result on this experiment was Opus 5.5, but Fable 5.2 is a noticeable step up. Many files include playable games, fun experiments, and just insanely high-quality HTMLs and designs. There is ONE big problem though: it costs 2x as much as Opus 5.5! This experiment includes only 76 files, because this prompt alone used ALL of my Fable usage, including a FULL RESET! Meaning it burned TWO weekly Fable usage limits! However, as expected, ZERO BROKEN FILES. There are TOO MANY INSANELY GOOD files to list them all here. YOU MUST go over EVERY SINGLE FILE. See the results for yourself (incl. prompts): All other experiments here: Some great examples: Volcán Chico Hot Sauce Koi Pond Descent - A Vector Lander Landscapes in One Pen - this is amazing. The Wheel - Throw a Pot Tangram Menagerie The Night Typist Lava Lamp, 1971 Jelly Alphabet Ariadne's Thread - just wow! Cross-Stitch Studio Pinscreen And so on... just open all the files!!!

The NFL confirmed today that line judge Jeff Seeman has been suspended for two games and referee Adrian Hill has been suspended for one game, each for an instance of unprofessional conduct toward a player in Sunday’s Arizona-New York Giants (Seeman) and Miami-Minnesota games (Hill). The suspensions were issued by NFL Vice President of Officiating Ramon George.

Arizona State cheerleader hit with two misdemeanor charges after allegedly interfering with an arrest. ASU senior Eryn Bonner was thrown to the ground after demanding that officers "let go" of someone they were trying to arrest. Bonner now faces charges of disorderly conduct and hindering or interfering with police. Tempe police accuse Bonner of punching an officer multiple times.