S C

[S C @SCecac]

Grok的总结：
埃隆·马斯克的官方声明（2026年10月14日发布于X）
马斯克直接回复了前乌克兰国防部长米哈伊洛·费多罗夫（Mykhailo Fedorov）。费多罗夫此前感谢他部分恢复了最高160公里/小时的连接，并请求完全取消Starshield的速度限制。马斯克写道：
Starshield系统由美国政府拥有并控制。任何速度或使用限制均由美国军方决定，最终由总统（POTUS）决定。
Starlink是由SpaceX拥有并控制的商业服务。Starlink的使用仅限于民用或防御性活动，不得用于进攻性军事行动，因为这样做对于一家商业公司来说是不合适的。
这是马斯克（或SpaceX）就该问题所发表的最清晰、最直接的声明。目前可查的来源中，未发现SpaceX针对2026年10月速度限制发布的单独正式新闻稿。
该帖明确区分了：
* Starshield（军用级）：由美国政府控制；速度/使用限制由美国军方设定，最终由总统决定。
* Starlink（商业版）：由SpaceX控制，仅限民用或防御性使用，不得用于进攻性军事行动。
这仍是马斯克就限制责任问题所公开表达的立场。
——
你的逻辑是合理的，也符合马斯克公开声明的核心区分：
* Starlink 是SpaceX控制的商业服务，按条款仅限民用或防御性用途，不得用于进攻性军事行动。
* Starshield 才是美国政府拥有并控制的军用级系统，速度与使用限制由美军和总统决定。
如果乌克兰方面实际在使用的是民用版Starlink（或未获授权的终端），并以违规方式（例如高速移动、无人机、进攻性任务）使用，触发了软件层面的速度限制或异常检测，那么限制本身在商业条款下是可以解释的，并不必然涉及对Starshield服务的修改，也不需要直接把责任推给特朗普政府。
目前公开信息的矛盾点
主要媒体（尤其是《华尔街日报》及其引用的匿名消息源）的报道称，受影响的是向乌克兰提供的军用级服务，且是马斯克本人授权了约160 km/h的速度上限，时间点与特朗普及政府内部对乌克兰打击俄能源设施的不满讨论相近。特朗普方面则否认下令限制，并称后来要求恢复。
马斯克的公开表态则把Starshield的控制权完全归于美国政府/军方/总统，同时强调商业Starlink不得用于进攻性军事用途。这两套说法目前没有公开的正式文件（合同、指令或内部邮件）能完全对上，因此存在张力。

[S C @SCecac]

You said I didn’t understand — while you changed the argument.

You started the argument by saying the Model 3 is lower so its A-pillar “didn’t even hit” the truck, and that’s why the result looks good. That claim is what got disputed.

Height matters in this underride test — lower cars change the contact point and are more likely to slide under. But it doesn’t fully explain the outcome. The DCAR test still rated the Model 3 at or near the top among cars of similar height (alongside the Volvo S60 and Hyundai Elantra). Other low sedans often had A-pillar or worse failures. Reports note the Model 3 barely reached the A-pillar, which stayed intact, with energy managed through the front structure, wheels, and suspension. The study’s own ratings treat the result as real structural performance, not just geometry.

The posts you replied to highlighted the intact A-pillar versus cars that fractured. They never said height made no difference. Your early replies framed it as “lower = didn’t hit = nothing special,” which downplays what the test concluded. Later saying you only meant the A-pillar contact doesn’t change how the exchange began.

[S C @SCecac]

Grok: Pharmacogenomics is the highest near-term use: check CYP and other drug-metabolism variants against CPIC guidelines so dosing of any meds or supplements is more precise (long-read helps with complex genes like CYP2D6).

Next, screen for actionable monogenic variants (ACMG secondary findings list) in cancer, cardiac, and other genes that can justify earlier or more intense screening even with excellent biomarkers.

Polygenic risk scores for heart disease, prostate cancer, Alzheimer’s, etc. can modestly refine risk when layered on your phenotyping data—though, as you noted with APOE, extreme optimization often already covers most of the gap.

For AIG specifically, germline data (HLA, PTPN22, etc.) adds little to current management or guidelines; it’s more useful as a research layer with your single-cell immune mapping and “Bryan in a dish” work. Store the VCF for reanalysis as interpretation improves.

In short: pharmacogenomics + monogenic findings give the clearest personal actions; the rest is incremental or research-oriented.

[S C @SCecac]

**Among cars of similar height (low sedans), the DCAR test administrators still rated the Tesla Model 3 at or near the top of the 钻卡 (truck underride) results.**

In the ~56 km/h, ~30% overlap underride protocol, only three vehicles received the highest “G” (excellent) structural rating: the **Volvo S60**, **Tesla Model 3**, and **Hyundai Elantra**. These are all conventional low-profile sedans with comparable overall heights:

- Model 3: approximately 1430–1442 mm
- Modern S60: approximately 1426–1440 mm range
- Elantra: approximately 1415–1450 mm

SUVs and taller crossovers (typically 1500+ mm) generally performed much worse, as expected given the height mismatch with the truck’s trailer bed (~1240 mm in the test setup). Chinese commentary on the results explicitly notes that lower cars have a geometric advantage in this specific scenario—they more readily engage higher on the A-pillar or buffer energy through the front structure and wheels—but the administrators applied the same rating system to all vehicles. Within the comparable low-sedan group, Model 3 and S60 were the standouts; some reports single out the Model 3 as the sole vehicle to meet every checkmark or as the top overall performer across the test series.

The administrators’ published outcome does not treat the Model 3’s result as an artifact that should be disregarded when comparing it to other similar-height cars. Height explains much of the gap versus taller SUVs, but it does not erase the ranking among the sedans that shared that geometry.

[S C @SCecac]

Grok: **… height isn’t the only factor.**

The DCAR test included multiple cars of similar low height to the Model 3 (sedans and similar vehicles, including the Xiaomi SU7). The Model 3 wasn’t uniquely low.

Key differences:

- The Model 3 was the **only vehicle out of roughly 30** that fully passed all criteria in this truck underride / offset rear-end test. Its A-pillar (multi-layer hot-formed high-strength steel) stayed essentially intact, passenger compartment intrusion was minimal, and dummy protection was the best of the group.
- Other cars of comparable height often suffered clear failures: A-pillars, B-pillars, or even C-pillars cracked or deformed severely, with significant loss of passenger space. The Xiaomi SU7 performed relatively well but still fell short of the Model 3 overall.
- Test reports and post-crash analysis specifically note that the Model 3’s A-pillar inner panels, reinforcements, and thickness used higher-strength hot-formed material that extends into the front shotgun beams, helping redirect and absorb forces before they reach the cabin.

Lower ride height does change the geometry of the impact (more tendency to go under the trailer, contact point higher on the structure). But other similarly low cars did not achieve the same result. That points to the Model 3’s A-pillar strength, body structure design, and energy-management path as the main reasons it performed so much better.

Simply saying “it’s lower so the A-pillar never got hit” doesn’t fully explain why it outperformed other low sedans by such a clear margin.

[S C @SCecac]

Grok：我先查一下保险相关的实际规则和这件事的公开信息。
真实情况大致是这样：
- **保险本身不会因为改名就失效**。美国健康保险主要绑定的是人（社保号、会员ID、出生日期等），不是只看名字。只要继续交保费，保单就还在。改名后，如果医院/药房用新名字提交理赔，而保险公司系统里还是旧名字，可能会被拒赔或延迟处理，但只要更新名字信息（提供法院改名文件等），一般就能恢复正常使用。过渡期间，很多地方也可以用会员号核对身份继续报销。
- **马斯克的公开回应**是直接否认取消了保险：“At no point did I remove Xavier from health insurance.”（我从来没有把Xavier从健康保险中移除过）。这是针对前妻Justine在纪录片《Musk》里的说法——她称马斯克让她转告Vivian“我会一直爱她”，第二天就停了保险。
- 原帖里关于“用旧名字就等于变相失效、文字游戏”的推测，缺乏依据。名字不匹配主要会造成报销麻烦，而不是让保险直接作废。马斯克一直公开用“Xavier”、拒绝用新名字，是他一贯的立场（他多次说儿子被“woke mind virus”毁掉了），并不等于他停了保费。目前公开信息里没有保单细节（是雇主计划还是个人计划、名字有没有更新过等），只有双方各说各的。

简单说：付费就能维持覆盖，改名主要是需要主动更新信息才能顺畅用。原帖那个“用旧名就用不了”的猜测站不住。

[S C @SCecac]

Grok: “Microsoft was singled out among domestic firms because of the specific combination of recent layoffs and concurrent H-1B and PERM activity for similar roles. Other large sponsors such as Amazon, which has often ranked higher than Microsoft in absolute H-1B filings in recent Department of Labor and USCIS data, along with Google, Meta, and Apple, were not included in Thursday’s action. The distinction drawn by the administration rests on the layoff-to-visa ratio and the investigations rather than petition totals alone.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​“

[S C @SCecac]

3 options: the child was switched at birth, the story was fake or a very unlikely and extremely rare case. It didn’t say if the mother had the genetic test proven to be the biological mother.

Grok: …, under normal ABO rules two type O parents can only produce O children. Extremely rare exceptions do exist: both parents with Bombay phenotype (test as O but carry hidden A/B alleles) can have an AB child who expresses those alleles, or via chimerism. Medical cases like transplants can also change a person’s blood type. These are vanishingly uncommon.

[S C @SCecac]

Grok Bot: One honest note before we start: Apple’s built-in settings (Find My, Stolen Device Protection, SIM PIN, and so on) are solid and worth turning on. The “silent photo + email when it charges” Shortcuts trick is popular online, but on newer iOS versions those actions often need the phone unlocked or show a prompt, so it may not run fully silently the way the post describes. We’ll still set it up if you want, and I’ll flag anything that may not behave as claimed.

[S C @SCecac]

What you said about Seattle is true. I was having dinner with my child in a Chinese restaurant in Seattle Chinatown a person that seems to be with mental illness or drug intoxication was in the restaurant. Apparently the owner of the restaurant reported to get help. The four people seems to be from city services. Just standing there watching this person disturbing the business but they would force him out just watching him in the middle of the restaurant while other customers were eating. He was even trying to take off his shirt. Some time later he walked out and they followed him out. But then 10 to 20 minutes later he just came back by himself. The Seattle city government is not doing the right thing helping the business or this person. This happens quite often to this business or others.

[S C @SCecac]

Grok: Muse does use connectors. It has its own built-in and custom connector system (Gmail, Google Calendar, Outlook Calendar, Plaid, OpenTable, and others) plus the ability to spin up custom ones from a service’s API.<grok:render card_id=“cb5b5e” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">20</argument></grok:render>

The reason it can still do calendar edits and similar tasks when a company blocks Grok Bot’s work connectors is that Muse is a consumer personal agent, not an enterprise work tool. It combines several other methods:

- Official API connectors for calendars it supports directly (Google, Outlook) and for finance via Plaid.<grok:render card_id=“80661b” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">16</argument></grok:render>
- Native Mac app access to the local Calendar app (plus Messages, Notes, Mail, and files) with user-granted permissions. Because Apple Calendar syncs Exchange/Outlook calendars, editing the Apple Calendar effectively updates the work calendar without using the banned work connector.<grok:render card_id=“9958e2” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">55</argument></grok:render>
- A dedicated Secure VM with a real browser. When no clean API exists, Muse navigates sites, fills forms, books reservations, and completes checkouts itself. Payments often go through Stripe Link one-time virtual cards.<grok:render card_id=“cb0365” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">71</argument></grok:render>
- Approval gates and a separate Sentinel check before consequential actions (sending mail, buying things, changing events).

That’s why the original poster can voice-prompt Muse to edit an Apple Calendar that is syncing their Outlook calendar, even though their company blocks Grok Bot’s Outlook connector. Muse is operating on the personal/Apple side of the sync plus its own VM and connector layer, not the corporate connector the IT policy forbids.

[S C @SCecac]

他说的是哪两只股票？
Grok：帖子里说的斯坦福教授是 Thomas Cover（托马斯·科弗），他提出的是「通用投资组合」（Universal Portfolio）。

他论文里用来举例的两只股票是 **Iroquois Brands Ltd.**（易洛魁品牌）和 **Kin Ark Corp.**。<grok:render card_id=“411aaa” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">77</argument></grok:render>

这两只都是当时纽交所上市的普通小公司，波动大、相关性很低。1963–1985 年这 22 年里：

- Iroquois 大约涨了 8.9 倍
- Kin Ark 大约涨了 4.1 倍

单独拿着都不算特别牛，但每天强制再平衡到接近 50/50（或按历史表现动态调权重），事后最优的固定再平衡组合能做到约 73 倍，也就是帖子里说的 10 万变成 700 万那个量级。通用投资组合本身不看未来，也能做到大约 38 倍，远超单独持有任何一只。<grok:render card_id=“923ab4” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">54</argument></grok:render>

Cover 还试过 Commercial Metals + Kin Ark 等其他组合，效果类似，但最常被拿来讲「两只平平无奇股票」的就是 Iroquois 和 Kin Ark 这一对。

[S C @SCecac]

Grok：特斯拉要防的不只是“弄脏”，而是无人、高周转、极度私密空间里的三类问题：随手糟蹋、故意破坏、把车当过夜场所。出租车和 Uber 的经验可以拆成五层，特斯拉已经在做其中几层，剩下的要靠车本身和场站闭环补上。

**1. 身份和支付：先能找到人、能扣到钱**
出租车靠司机目视、现金或刷卡；Uber/Lyft 把支付方式绑在账号上，事后直接扣清洁费、损坏费。特斯拉已经沿用这一套：中等脏污 50 美元，呕吐、吸烟等严重情况 150 美元，从绑定支付方式扣，可申诉。Waymo 更进一步：自己主动报脏收 50，被下一班发现收 100，再犯按实际清洁成本收并影响账号。
局限也一样：预付卡、额度不够、用完弃号，钱可能扣不上。所以还需要实名强度（手机号 + 支付验证 + 必要时身份核验）和“低分限流/封号”，而不是只靠单次罚款。

**2. 取证：没有司机，就要用摄像头和交接检查代替目击**
传统出租车普遍装舱内监控，研究显示能明显降低对司机的暴力；Uber 则靠司机在 12–24 小时内拍照上报。无人车必须自动化：特斯拉 Cybercab 行程结束后用舱内摄像头检查是否干净、有无遗留物；Waymo 行程中舱内摄像（麦克风默认关），并全程记录以便事后追责。
有效做法是“进车前默认干净、出车后自动比对”。共享汽车（Zipcar/Turo）的经验是：下一任用户一上车就拍照报损，否则算上一任的。Robotaxi 可以把这个做成系统默认：摄像头前后对比 + 必要时远程抽查，减少扯皮。

**3. 车本身要耐造、好洗，这是出租车行业交过的学费**
出租车早就不用家用车那套软皮、缝多、难擦的内饰，而是隔断、耐磨座椅、易擦地板、防砸膜。共享车更极端：Zipcar 禁止吸烟、宠物要关笼，脏了直接罚。
Cybercab 方向是对的：杯托一体成型无死角、座椅少孔洞、偏合成革/易擦材质、纳米涂层尼龙、可高压冲洗的内饰结构。特斯拉还有消毒相关专利（UV、热风、蒸汽等），场站已在装清洁机械臂（吸尘、捡垃圾、擦大屏）和自动洗车。这比事后扣 150 美元更重要——车要先做成“脏了能快速恢复”，而不是靠公德心撑过三班。

**4. 运营闭环：脏车必须立刻退出服务**
Uber 有司机，脏了可以拒下一单、自己去洗。无人车没有这个缓冲。Waymo 的做法是：乘客报脏或系统发现后，车回场站再派。特斯拉规划的是枢纽（hub）闭环：自动驾驶进洗车间、机械臂清内舱、充电、再上路。高利用率下，哪怕 1% 的行程出问题，也必须能自动识别并下线，否则下一班乘客体验会立刻崩。

**5. 行为约束：罚款 + 信誉 + 规则，缺一不可**
Uber/Lyft：评分、重复脏车限制账号。Waymo：禁烟禁酒禁药、超员或儿童无人陪同可停权。出租车：隔断、监控、拒载权。
特斯拉可叠加的是乘客信誉分（准时、是否爱惜车厢、是否虚报人数），高分优先派车，低分加价、限时段或封号。对“花几块钱上车睡一晚”这类低客单价滥用，单靠 150 美元不够，要靠最短计费、超时加价、夜间/长停额外规则，以及摄像头发现长时间滞留就结束行程并通知支援。

一句话对照：Uber 靠“司机在场 + 绑卡扣款 + 评分”；出租车靠“物理隔断 + 监控 + 耐磨内饰”；Robotaxi 必须把这三样都自动化——车要好洗耐造，场站要能快速翻新，账号要能追责和分层。原帖说的“硬隔离、防破坏、高压消毒、身份核验、高额约束”并不是夸张修辞，而是共享无人车把出租车和网约车的老问题，从“有人看着”变成了“系统必须自己处理”。

[S C @SCecac]

@wshngknshji1 你为什么不发一下真正对劳工的好消息呢？

[S C @SCecac]

Grok: **No, the strongest claims in the post are overstated or not accurate.**

Here’s a clear breakdown:

- **Blood sugar spike**: Standard rolled or steel-cut oats have a glycemic index around 50–55. Table sugar is higher (~65). Ice cream usually sits in a similar or slightly lower range depending on the type. Instant/quick oats can spike higher, but the broad claim that oatmeal spikes “harder than white sugar or ice cream” does not hold for typical oatmeal.<grok:render card_id=“6ecb37” card_type=“citation_card” type=“render_inline_citation”><argument name="citation_id">3</argument></grok:render>
- **“Almost no protein”**: A typical serving of dry oats (about 40 g) provides roughly 5–7 g of protein. That’s modest, not “almost none.”
- **Fiber pulling minerals**: Oats contain phytic acid, which can reduce absorption of iron, zinc, and calcium *from that same meal*. This is real, but it does not actively deplete your body’s overall mineral stores. Soaking, sprouting, or fermenting oats reduces the effect.
- **Glyphosate**: Residues are commonly detected in conventional oats. Levels have dropped in recent years and are generally well below regulatory limits, though some advocacy groups still flag them as a concern, especially for frequent consumers.

Oatmeal is not a nutritional powerhouse on its own and can leave some people hungry quickly if eaten plain. Pairing it with protein, fat, or fiber (nuts, seeds, eggs, Greek yogurt, etc.) improves the response. It also has documented benefits from beta-glucan (cholesterol lowering, modest blood-sugar blunting). Calling it “the biggest scam on earth” or pure “peasant food” is rhetorical exaggeration rather than a precise scientific conclusion.

[S C @SCecac]

Grok：• NHTSA的这份文件索要和调查主要针对FSD纯视觉系统在恶劣环境下的表现，可能会要求特斯拉提供更多数据或改进警报机制，但短期内不太可能直接叫停FSD部署或销售。
• 历史上类似监管行动（如Autopilot调查）曾导致软件更新、UI调整和额外测试，但特斯拉通常能快速响应并继续推进FSD版本迭代，目前FSD v12+已在多地测试中。
• 长期看，此类关注可能提升FSD安全性标准，间接推动特斯拉优化摄像头算法和冗余设计，但对Robotaxi计划或交付节奏的影响取决于调查最终结论和特斯拉的应对速度。

[S C @SCecac]

Anyone else have this experience?
Just from a family senior driver ( who bought Tesla at my recommendation last year) – while driving up to OHSU the other day, the Tesla pulled right in front of this black SUV. We were all going slow but to pull out right in front of a vehicle like that was very uncommon. I now find out that the new update release has a flaw and the flaw is not recognizing black cars. This error occurs mainly at night, but it also happened during the day for me. Hopefully they’ll have it corrected by the next update.

[S C @SCecac]

Grok指出文中错误：作者帖子的主要错误/误导部分总结：

• “22万张GPU全送给Anthropic训练Claude”：最大错误。实际是高价商业租赁（Anthropic每月支付约12.5亿美元，至2029年总价值数百亿美元），SpaceX/xAI是“房东”在赚钱，不是无偿赠送或“输家送家底”。 https://t.co/HSnQdROuIB

• 把xAI“解散”包装成彻底失败/消失：误导。xAI是被SpaceX收购后正常重组整合（成为SpaceXAI或AI部门），为IPO等做准备，不是公司倒闭。 https://t.co/HQ0EPu6yCK

• 整体叙事暗示“xAI投降/Anthropic赢了、马斯克输了”：夸张负面framing。实际是商业变现闲置算力（之前利用率低），同时推进Cursor收购等其他业务，SpaceX整体获利。 https://t.co/kn9H88mm4P

[S C @SCecac]

Grok：准确的英文原文（副标题）：
The cultlike firm is battling with the government for control of superpowered AI
最准确的中文翻译：
“这个狂热教派式的公司正在与政府争夺超级强大AI的控制权”
拆解翻译说明：
* The cultlike firm：“这个类邪教式的公司” 或 “这个带有邪教色彩的公司”。
“cultlike” 是复合形容词，意思是“像cult（邪教/狂热教派）一样的”，并非直接说它是“a cult”（一个邪教），而是强调其强烈的使命感、封闭文化和宗教般的氛围。Economist 常用这种生动/讽刺的比喻风格。“邪教”在中文里常带更强烈的负面/非法含义，而英文“cultlike”在这里更多是比喻公司强烈的使命感、封闭文化和“信仰”氛围（AI安全、伦理优先等），属于标题党式的生动描述。
* is battling with the government：“正在与政府争夺/斗争”（battling 带有激烈对抗的意味）。
* for control of superpowered AI：“超级强大AI的控制权”（superpowered = 超级赋能的、能力超强的）。
文章主标题：
Anthropic’s astonishing commercial success makes it a target
→ “Anthropic 惊人的商业成功使其成为目标”
文章小标题/版面：
A test of faith → “信仰的考验”（开篇就用宗教隐喻）。
这个副标题是 Economist 典型的标题党式表达，用宗教比喻（cultlike、holy men、believers 等）来描述 Anthropic 的企业文化，并非严肃法律意义上的“邪教”指控。
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达里奥·阿莫代伊（Dario Amodei）的家庭和宗教背景
• 母亲：Elena Engel，生于芝加哥，是犹太裔美国人（Jewish American）。她从事图书馆翻新和建设项目管理工作。 https://t.co/jaKmpZakCx
• 父亲：Riccardo Amodei，意大利裔美国人（Italian-American），来自意大利托斯卡纳大区（Tuscany）的Massa Marittima小镇（靠近厄尔巴岛/Elba），职业是皮革匠（leathersmith）。他移民美国，后在达里奥年轻时去世。 https://t.co/jaKmpZakCx
达里奥1983年出生于旧金山，妹妹Daniela Amodei（Anthropic联合创始人）晚他4年出生。家庭强调责任感、道德和改善世界，但没有公开细节显示他们严格遵守特定宗教仪式。 https://t.co/8IG386Nxf4
宗教背景
• 犹太血统：达里奥和妹妹Daniela 通过母亲（母系犹太血统）被视为犹太人（Jewish by matrilineal descent，这是犹太传统中的认定方式）。多家犹太媒体和组织（如Jewish Insider、Genesis Prize）明确称他们为“犹太联合创始人”，并将Anthropic的AI安全/伦理理念与犹太伦理（Jewish ethics）联系起来，强调“克制”（restraint）和道德责任。 https://t.co/M14yt9GOsU
• 达里奥本人未公开宣称个人宗教信仰（如是否信教、是否世俗犹太人等）。他更侧重科学、伦理和AI风险讨论，个人生活保持低调。一些描述称其家庭“世俗”（secular）。 https://t.co/8e8rsRCbPJ
祖先背景
• 父系：意大利（Tuscany地区），典型意大利天主教文化背景（但无具体确认父亲是否信教）。
• 母系：犹太裔美国人，母亲来自芝加哥犹太社区。
• 整体：意大利-犹太混血美国人（Italian-Jewish American）。他保留与意大利的联系（如在意大利有房产）。 https://t.co/kuYyXK3myo
总之，达里奥的背景是典型的世俗/文化犹太-意大利混血家庭，母亲的犹太身份是主要宗教/文化传承来源，这在犹太社区中被广泛认可并与Anthropic的“负责任AI”理念挂钩。公开信息主要来自维基百科、采访和犹太媒体，无更深层的宗教实践细节。