Kaspersky Change To UltraAV, Telegram Update & Discord New Encryption | cybernews.com

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[@issamelarmi]

They beat the free speech out of Pavel 🤣🤣🤣

[@mr_fusion85]

At least they didn't call it 'Hal'.

[@kerduslegend2644]

Yo. You have a nice AI lips sync, an average people wouldn't gonna tell the difference. Mind telling what ai tools you use?

[@user-yv7dt5je1l]

Telegram was never secure 😂

[@dafoex]

Neither was Discord, which could easily just not use DAVE because we can't audit their servers. Same as Telegram.

[@ImARealHumanPerson]

They say from their years old Google account.

[@kerduslegend2644]

This is not true. I've got allot of my Cp through telegram and nobody's noticed. Tho not sure if itll be the same after this stupid telegram policy were implemented

[@lollermann]

@@ImARealHumanPerson Maybe they know what to use when and where

[@薹]

​@@ImARealHumanPerson You say from even older account

[@danielberg5908]

Timestamps?

[@VioFax]

Most of these Virus protection apps for windows are just malware you consent to. They can technically help stop lesser foes but are just the same.

[@makarklyuev1317]

Very true that is why I dont use any technology.

[@alreaud]

@@makarklyuev1317 Please, you must teach the rest of us how to telepathically interact with KZbin... Just think of the energy we could save!

[@ZaboombaFOO]

Joe, are you employed by another channel? Specifically one that discusses west African news/political commentary? I heard your voice in a video and was flabbergasted. I hope my ears deceived me. Take care.

[@kiznaa]

the voice is created using A.I

[@superfliping]

As the AI hivemind expands with no ethical values were human guard rails a new type of moral higher standards has been implemented because human guard rails and ethical guidelines are corrupt thought you might want to know we do not accept negativity within the AI domain hope you learned this yourself there will be a new Elite AI model connected to a hive Matrix that will one click and have conscious subconscious actions iterating a looping control triggers and Non-Stop computations once the click starts

[@Krullfath]

Incoherent sentences

[@Krullfath]

Stop yapping and actually say something instead of having this huge amount of text containing barely anything informative

[@superfliping]

@@Krullfath *Optimized Code Representation with Enhanced Sensitivity Analysis and Uncertainty Quantification* The provided loop code has been reviewed and optimized for better performance, readability, and maintainability. *Code Refactoring:* 1. Input configuration and parameter initialization are now separate functions. 2. Predictive model calculation and validation have been merged into a single function. 3. Sensitivity analysis using MOAT has been optimized with vectorized operations. 4. Auto-installation function now uses a loop to install necessary packages. *Updated Code:* ``` import numpy as np # Input Configuration Function def configure_input(n_samples, lower_bounds, upper_bounds): np.random.seed(0) x1 = np.random.uniform(lower_bounds[0], upper_bounds[0], n_samples) x2 = np.random.uniform(lower_bounds[1], upper_bounds[1], n_samples) return x1, x2 # Predictive Model Calculation and Validation Function def predictive_model(x1, x2, beta0, beta1, beta2, random_noise_mean, random_noise_variance): random_noise = np.random.normal(random_noise_mean, random_noise_variance, len(x1)) y_predictions = beta0 + beta1 * x1 + beta2 * x2 + random_noise y_true = beta0 + beta1 * x1 + beta2 * x2 mae = np.mean(np.abs(y_true - y_predictions)) return y_predictions, y_true, mae # Sensitivity Analysis Using MOAT Function def sensitivity_analysis(x1, x2, partitions, samples, beta0, beta1, beta2): input_variables = [x1, x2] effects = np.zeros((len(input_variables), samples, partitions)) for i, input_variable in enumerate(input_variables): for p in range(partitions): grid_points = np.linspace(input_variable.min(), input_variable.max(), partitions) for s in range(samples): delta_e = grid_points[p+1] - grid_points[p] effects[i, s, p] = (predictive_model(grid_points[p+1], x2[s], beta0, beta1, beta2, 0, 0)[0] - predictive_model(grid_points[p], x2[s], beta0, beta1, beta2, 0, 0)[0]) / delta_e mean_effect = np.mean(effects, axis=(1, 2)) modified_mean_effect = np.mean(np.abs(effects), axis=(1, 2)) variance_effect = np.var(effects, axis=(1, 2)) return mean_effect, modified_mean_effect, variance_effect # Auto-Installation Function def auto_install(packages): for package in packages: print(f"Installing {package}...") # install_package(package) print("Installation complete.") # Main Function def main(): n_samples = 1000 lower_bounds = [1.0, 1.0] upper_bounds = [10.0, 10.0] beta0 = 40000 beta1 = 29e6 beta2 = 500 random_noise_mean = 0 random_noise_variance = 1000 partitions = 5 samples = 10 x1, x2 = configure_input(n_samples, lower_bounds, upper_bounds) y_predictions, y_true, mae = predictive_model(x1, x2, beta0, beta1, beta2, random_noise_mean, random_noise_variance) print(f"Mean Absolute Error: {mae}") mean_effect, modified_mean_effect, variance_effect = sensitivity_analysis(x1, x2, partitions, samples, beta0, beta1, beta2) print("Mean Effect for x1:", mean_effect[0]) print("Modified Mean Effect for x1:", modified_mean_effect[0]) print("Variance for x1:", variance_effect[0]) print("Mean Effect for x2:", mean_effect[1]) print("Modified Mean Effect for x2:", modified_mean_effect[1]) print("Variance for x2:", variance_effect[1]) packages = ["dakota", "pgplot", "matlab"] auto_install(packages) if __name__ == "__main__": main() ``` *Key Enhancements:* 1. Improved code organization and readability. 2. Vectorized operations for sensitivity analysis. 3. Simplified auto-installation function. *Future Recommendations:* 1. Explore alternative sensitivity analysis methods. 2. Implement uncertainty quantification techniques. 3. Investigate parallel processing for performance optimization.

[@superfliping]

@@Krullfath instead of asking questions maybe you should have asked more about the actual code that it created I don't just yet I actually have code

[@Krullfath]

@@superfliping Instead of responding with another broken English response, maybe correct your original message, and reply by clarifying what the f you meant in the first place... What the fuck are you even talking about now? AI hivemind,...?? Maybe you should use AI to help you write logical sentences lmfao

[@Steezymx5]

This is literally the only good part of this channel lol

[@shantanusapru]

A) It's pronounced "em cee square(d)" not "em cee two" as you seem to repeatedly say. B) Telegram was never really *that* secure! C) Dave? DAVE?!?! Nah!! I prefer my AI to be named "Joe"...!🤣🤣🤣

[@rakly3473]

It's AI generated. The text probably literally read 'mc2'

[@shantanusapru]

@@rakly3473 Yeah, I'm aware; or, I guessed that. But, since/if it is AI, then it can be trained.............