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As powerful as Techno is, he's still just a Sans. If you're lucky enough to drag the fight out until he becomes exhausted, you'll have about a 30% chance of winning.
Techno is like a machine overheating from being overworked, so he often takes off his jacket to cool down... ( enough for me to goon-).
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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Some Technoblade Fun Facts for all you Techno Fans
1 .Did you know that Technoblade actually means "he who cannot die" in greek?
This means he chose this name knowing what it means cause of his famous catch phrase "Technoblade Never Dies"
2. Technoblade had ADHD
3. They put "Technoblade" in the Urban Dictoary described as A sentient pig who plays skywars and stabs orphans, sacrificing their blood to the blood god.
4. Technoblade is on Wikipedia
5. Technoblade was a fucking legend <3
o7 King, We Miss You
Explanation Of KNN Algorithm
Supervised Learning: KNN is a supervised learning algorithm, meaning it learns from labeled data to make predictions.
Instance-Based Learning: KNN is also considered an instance-based or lazy learning algorithm because it stores the entire training dataset and performs computations only when making predictions.
Distance Metric: KNN relies on a distance metric to measure the similarity or distance between data points.
Finding Nearest Neighbors:
For a new, unlabeled data point, KNN identifies the "k" nearest neighbors in the training data based on the chosen distance metric.
Classification: In classification tasks, the new data point is assigned to the class that is most common among its "k" nearest neighbors.
Regression: In regression tasks, the predicted value for the new data point is the average of the values of its "k" nearest neighbors.
Animating the 3D Sphere ⬇⬇⬇⬇⬇
I got a question. I like the concept of prototype asking a random stranger if they good or bad cause hell,as if they know thst which makes the person disturb about it.
Althought i wanted to know what would might have happend if a person says they neither good or bad and just morally grey person?? Would he still kill them?
Or what if a person reverse that question back at him and call him out that his action wasnt good nor justice?
If someone isn't sure whether they're a good person or a bad one, Prototype will "help" by judging them based on their appearance. However, if they answer with a question or UNO reverse him instead, Prototype sees it as rude ( bad) because they refused to answer his question first... and he'll simply kill them.
In short, Prototype is extremely controlling so if things don't go the way he wants, he'll kill you.
Prototype never returns "empty-handed" from his "walks", as long as he manages to eliminate at least one bad person, he considers the trip a success.
Only the youngest sibling "Rose" knows what Prototype does during his "walks." Everyone else either has no idea or simply doesn't care. His younger sister, Alpha, always finds him unsettling whenever he comes back from one of those outings, but she's never had the courage to ask him about it.
How would Techno react if he met actual Players ? Like, code embodying the very concept of Players ? Does it depend on their alignment, or does he hate all Players as a whole ?
My Cerym is a Pacifist Player while Alprey is a Genocidal Player, for instance.
Techno despises Players, but he understands that every Frisk ( players) is nothing more than a coded character made to be controlled by "us." Because of that, if he were to meet or accidentally encounter any version of Frisk, he'd simply frown and walk away without acknowledging them.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
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Wellcome to my wall🩷
Last update 02/07/26
『••✎••』✍️ʚ♡ɞ
Overview of 4.0Tale
✜»✜«✜»✜«✜»✜«✜»✜
- 4.0Tale is an alternate universe set in the distant future of Undertale. In this world, every monster has a deep understanding of music and is capable of performing it, giving the setting an atmosphere somewhat reminiscent of rhythm games like Audition. Despite this unique concept, around 90% of the original Undertale storyline remains unchanged.
- The story begins to diverge during the Genocide Route. By the time the Player reaches Sans, the battle is no longer the one they remember. Unlike the original timeline, defeating Sans becomes nearly impossible. After witnessing the Player massacre everyone he cared about, Sans is consumed by rage. In desperation, he activates a forbidden ability known as "AI" ( A forbidden ability he accidentally discovered while hacking the game's code) This power allows him to break the game's rules, hack its system, and forcefully reset the timeline, preventing the Genocide Route from ever reaching its conclusion.
- However, resetting the world does not erase what happened. The Player's hatred remains, and so does Sans's. More importantly, the incident causes Sans to awaken to a terrifying truth, everything around him including himself, his world, and even his younger brother Papyrus, exists only because they were programmed to. Unable to accept this reality, Sans becomes trapped in an endless cycle. Every time the Player resets the game, he remembers. Every timeline becomes another opportunity to torment the Player, ensuring they can never achieve victory or escape without suffering the consequences of their actions.
- As countless loops pass, Sans gradually loses the emotions that once made him who he was. His compassion, hope, and kindness slowly fade away, leaving behind only two things, a twisted sense of humor... and an undying hatred for the Player.
Explanation Of KNN Algorithm
Supervised Learning: KNN is a supervised learning algorithm, meaning it learns from labeled data to make predictions.
Instance-Based Learning: KNN is also considered an instance-based or lazy learning algorithm because it stores the entire training dataset and performs computations only when making predictions.
Distance Metric: KNN relies on a distance metric to measure the similarity or distance between data points.
Finding Nearest Neighbors:
For a new, unlabeled data point, KNN identifies the "k" nearest neighbors in the training data based on the chosen distance metric.
Classification: In classification tasks, the new data point is assigned to the class that is most common among its "k" nearest neighbors.
Regression: In regression tasks, the predicted value for the new data point is the average of the values of its "k" nearest neighbors.
DARK PHANTOM ALGORITHM ⬇⬇⬇⬇⬇
KNN Algorithm | Learn About Artificial Intelligence
The k-Nearest Neighbors (KNN) algorithm is a simple, versatile, and popular machine learning method used for both classification and regression tasks, making predictions based on the proximity of data points to their nearest neighbors in a dataset.
Detect Triangle shape inside image using Java Open CV //Triangle Transform Computer Vision part one
KNN is a supervised learning algorithm, meaning it learns from labeled data to make predictions on new, unseen data. KNN relies on a distance metric.
Lazy Learning: It's considered a "lazy learner" because it doesn't have a dedicated training phase; instead, it stores the training data and uses it directly for prediction.
Proximity-Based: KNN relies on the principle that similar data points are located near each other, and it makes predictions based on the classes or values of the nearest neighbors.
Classification: In classification, KNN assigns a new data point to the class that is most common among its k nearest neighbors.
Regression: In regression, KNN predicts a value by averaging the values of the k nearest neighbors.
Parameter k: The parameter 'k' determines the number of nearest neighbors to consider when making a prediction.
