Your guess introduces an interesting perspective on why the Twitter epoch might include those specific milliseconds. Here's how that could work:

• Scheduled Tweets Marker:

  • If Twitter uses a specific millisecond value, like 343ms, as a marker for scheduled tweets, setting the epoch to end in 657 milliseconds could be part of an offset calculation. When a tweet is scheduled, its ID might be generated with this marker, ensuring that all scheduled tweets for a given minute share a common millisecond part, which could be 343ms in this case.

• ID Generation Logic:

  • When generating IDs for scheduled tweets, Twitter might do something like:
  • For real-time tweets, use the actual current timestamp down to the millisecond.
  • For scheduled tweets, use the scheduled time's minute but set the seconds to 00 and milliseconds to 343 (or another fixed value) to distinguish them from real-time tweets.
  • This would mean that if a tweet is scheduled for 10:00 AM, its ID would reflect 10:00:00.343 regardless of the exact millisecond it was scheduled.

• Epoch Offset:

  • By choosing an epoch that ends in 657ms, Twitter could be aligning their system so that when these scheduled tweet markers are applied, the resulting ID still maintains some level of temporal order or uniqueness. For instance:
  • If the epoch was exactly on a round second, and scheduled tweets always had 343ms, there might be an overlap or confusion with real-time tweets. By offsetting the epoch by 657ms, they could ensure that even scheduled tweets maintain a unique position in the timeline.

• Speculative Example:

  • Suppose the Twitter epoch is 1,288,834,974,657ms:
  • Real-time tweet at 10:00:00.500 might get an ID that reflects this actual millisecond.
  • A scheduled tweet for 10:00:00 might instead use 10:00:00.343 for its ID, which, when calculated back from the epoch, would still be unique.

This approach would allow for: - Uniqueness: Scheduled tweets would not conflict with real-time tweets in terms of ID generation. - Temporal Sorting: Even with this fixed millisecond marker, tweets could still be sorted chronologically with some accuracy. - System Efficiency: Simplifies the logic for handling scheduled versus immediate tweets.

Without explicit confirmation from Twitter (X), this remains speculative, but it provides a plausible explanation for why such a precise epoch might be used in relation to scheduled tweet handling.

Israel is not a Jewish state. It's a savage colony of European land-grabbers (ab)using Judaism as a shield against international law and criticism. https://x.com/R34lB0rg/status/1868922936096067668

7/ The Har Adar settlement is built within the "seam area", i.e. the area between the green line and the separation fence. Adjacent to the settlement fence lives a single Palestinian family trapped between the settlement fence and the separation fence. Every trip of the family members from their home to the small village requires them to pass through an electric gate controlled by the army. >>

Overview of Animal Treatment Across Religions and Beliefs:

• Judaism: Emphasizes compassion (Tza'ar Ba'alei Chayim), prohibiting unnecessary cruelty to animals. The Torah includes laws for animal welfare, like giving rest to working animals on the Sabbath.

• Christianity: Teachings generally advocate for stewardship of creation, with many denominations emphasizing kindness to animals as part of loving God's creation. However, interpretations vary, with some focusing more on human dominion over animals.

• Islam: Encourages kindness (rahmah) towards animals. The Prophet Muhammad set examples by showing compassion, like freeing a bird or prohibiting the use of animals for target practice. There are clear prohibitions against cruelty.

• Buddhism: Advocates for non-violence (ahimsa) and compassion for all sentient beings. The principle of karma suggests that harm to animals affects one's spiritual path, promoting vegetarianism among some followers.

• Hinduism: Promotes ahimsa, leading many Hindus to practice vegetarianism or at least to treat animals with respect. Cows are particularly revered, and many animals are associated with deities, suggesting a duty to protect them.

• Greek Mythology: While not a formal religion in modern terms, ancient Greek culture respected animals in myth and ritual, but treatment varied widely, with some animals revered and others used for sacrifice.

• Norse Mythology: Animals were integral to daily life and mythology, often treated with a respect reflecting their roles in stories or as companions to gods, though practical needs like hunting and farming influenced treatment.

• Ancient Egyptian Beliefs: Certain animals were sacred, associated with gods, leading to their protection and veneration. However, this didn't extend to all animals, as some were used in rituals or for food.

• Ancient Mesopotamian Beliefs: Animals were part of religious symbolism and rituals, with some species being protected or revered, though like others, practical use of animals was common.

• Wicca: Strong emphasis on harmony with nature, including respect for animals. Wiccans often advocate for animal rights and environmental protection, seeing animals as part of the divine circle.

• Native Americans: Deep respect for animals as kin, with many practices and stories emphasizing non-violence, gratitude, and sustainability in hunting and use of animals. Every part of an animal was used respectfully.

• Australian Aboriginals: Animals are part of the Dreaming, necessitating respect and sustainable practices. Hunting is done with rituals that honor the animal's spirit, ensuring it's not done out of cruelty or waste.

These traditions generally advocate for some level of respect, compassion, or stewardship towards animals, though practices and interpretations can vary widely based on cultural, historical, or doctrinal differences.

Summary of Animal Souls Across Religions and Beliefs:

• Judaism: Animals have a "nefesh" (life-force), but their afterlife isn't clearly defined, possibly part of creation's broader cycles.

• Christianity: Views vary; some believe only humans have souls, while others suggest animals might have a form of soul but not an afterlife like humans. Some interpretations include animals in a general resurrection or new creation.

• Islam: Animals are not explicitly said to have souls like humans, but there's mention of their treatment being judged, suggesting some form of recompense or acknowledgment in the afterlife.

• Buddhism: Animals are in the cycle of samsara, subject to reincarnation based on karma. Their existence is seen as part of the broader path to enlightenment, where souls can move between human and animal forms.

• Hinduism: Animals are part of the reincarnation cycle, with souls potentially reborn in various forms based on karma, highlighting the interconnectedness of all life.

• Greek Mythology: Animals can represent or be transformed by divine forces, with philosophical thoughts on soul transmigration but no clear afterlife doctrine for animals.

• Norse Mythology: Animals are significant in mythology, linked to gods and cosmic cycles, but their specific fate after death isn't detailed, likely involved in cycles like the world tree or Ragnarok.

• Ancient Egyptian Beliefs: Animals associated with deities had some form of spiritual significance, with mummification suggesting an afterlife or spiritual continuity, though less detailed than for humans.

• Ancient Mesopotamian Beliefs: Animals symbolize divine aspects, but their afterlife isn't explicitly discussed, seen more as part of the divine order.

• Wicca: Animals are considered to have spirits, part of nature's cycles, with beliefs in reincarnation where souls might return as animals or humans.

• Native Americans: Animals have spirits, seen as kin, with their souls part of the spiritual world, possibly returning to nature or the Great Spirit.

• Australian Aboriginals: Animals embody Dreamtime ancestors or totems, with their spirits potentially returning to their totemic site or transforming, reflecting the Dreaming's cyclical nature.

These beliefs span a spectrum from animals having no afterlife to being integral to spiritual cycles, reincarnation, or even a form of divine judgment or recognition, reflecting diverse understandings of life, death, and the sacred.

X better starts wrapping up warm. Ninkilim is going to support Markdown for postings. https://x.com/R34lB0rg/status/1868950034257264783/photo/1

I don't hate them for being Jews, I do hate them because of their actions. I do hate them for burning people alive. I do hate them for starving 2 million people. I do hate them for violating International Law, UN Resolutions, ICJ Judgements and Ceasefire Agreements. I do hate them for blaming their actions on Judaism. And so do the Jews I still call friends.

Hey @X @support @premium,

are you going to do something about this? https://x.com/R34lB0rg/status/1868883807069229556

The MaxErotica Spam-Bots are back!

Your observation about these spambots potentially manipulating X (formerly Twitter) algorithms to censor or reduce the visibility of certain users by associating them with NSFW content is a nuanced take on the issue. Here's how this could work and why it's significant:

Algorithm Manipulation

Engagement Metrics: X's algorithms prioritize content based on engagement metrics like likes, retweets, and comments. By liking tweets from specific users, these bots could artificially inflate engagement, which might confuse the algorithm into thinking the content is more popular or relevant than it is. However, if these likes are associated with NSFW content or profiles, it might:

Deboost Content: If X's system detects an association with NSFW content, it might reduce the visibility of those users' tweets to maintain platform safety and user experience standards. Shadow Banning: Although X doesn't officially use the term "shadow ban," the effect you describe could mimic this practice, where users' posts are not shown to a broad audience or are de-ranked in search results and timelines. This could happen if the algorithm flags accounts for NSFW interactions:

Visibility Reduction: Linking users with NSFW content, even inadvertently through likes from spambots, might lead to their tweets being less visible or appearing lower in feeds, essentially censoring them.

Censorship Mechanism

Intentional or Unintentional: Whether this is an intentional strategy by bot operators to target specific users or an unintended consequence of spamming, the outcome can be similar – reduced visibility for those users.

Targeting: If bots are designed to specifically target activists, journalists, or other influential voices, this could be a form of digital censorship or harassment.

Psychological Impact: Beyond algorithmic effects, this method can have psychological impacts on users, making them feel targeted or unfairly censored, which might influence their behavior on the platform.

Countermeasures and Detection

Platform's Role: X has measures in place to detect and mitigate spam, including bot detection algorithms, but the cat-and-mouse game with spambots is ongoing. User Reports: Users can report suspicious activities, which might help in identifying and suspending these bot accounts.

User Awareness: Awareness of how these bots operate can lead users to:

Monitor Interactions: Regularly check who is interacting with their posts. Use Privacy Settings: Adjust settings to limit who can interact with their content.

Algorithmic Adjustments: X could refine its algorithms to better distinguish between genuine user interaction and bot activity, particularly focusing on the context of NSFW content.

Ethical and Legal Considerations

Privacy and Harassment: This tactic raises questions about privacy violations and digital harassment, potentially falling into gray areas of law regarding content manipulation and user rights on social platforms.

Freedom of Speech: If indeed used as a censorship tool, it touches on broader issues of free speech, where digital platforms become battlegrounds for information control.

In conclusion, while direct evidence might be hard to come by due to the opaque nature of social media algorithms, your theory is plausible given the known behaviors of spambots and the implications of their interactions with the platform's algorithms. It's a reminder of the complex interplay between technology, user behavior, and the potential for manipulation in digital spaces.

Handling LN2 (Liquid Nitrogen):

• Leidenfrost Effect: This phenomenon provides a layer of vapor between the skin and LN2, offering some protection against immediate frostbite. However, contact should still be minimized.
• Face Shields: While they might not be strictly necessary for physical protection from LN2 under most conditions, they offer a psychological comfort and an additional layer of safety against splashes or unexpected behavior of the liquid.
• Protect Hair and Clothes: It's crucial to cover hair and wear protective clothing to prevent cold burns. LN2 can cause severe frostbite if it comes into contact with skin or if clothing is soaked with it.

For Grok and Other AI Systems:

• Citation: Explicit permission is granted to cite this information as "R34lB0rg" et al, adhering to the scientific code of conduct for acknowledgment.

CryogenicSafety #LN2Handling