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Gemini (left) vs ChatGPT vs Claude (right) Prompt: Create an interactive HTML, CSS, and JavaScript simulation of a satellite system that transmits signals to ground receivers. The simulation should show a satellite orbiting the Earth and periodically sending signals that are received by multiple ground stations. Include realistic factors... show more

Alex Prompter

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229,964 次观看 • 8 个月前 •via X (Twitter)

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ChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2 (left) (middle) (right) prompt I used: Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth should be a grid of points connected by constraints using Verlet integration. Implement gravity and mouse interaction: the user should be able to click and drag particles to tear the cloth. The physics must remain stable without exploding.

ChatGPT 5.1 vs. Claude Opus 4.5 vs. DeepSeek-V3.2 (left) (middle) (right) prompt I used: Create a single HTML file containing a realistic cloth simulation using HTML5 Canvas and JavaScript. The cloth should be a grid of points connected by constraints using Verlet integration. Implement gravity and mouse interaction: the user should be able to click and drag particles to tear the cloth. The physics must remain stable without exploding.

God of Prompt

96,685 次观看 • 8 个月前

🚨 A SATELLITE JUST REVEALED SOMETHING SHOCKING: GPS JAMMING IS FAR MORE WIDESPREAD THAN ANYONE REALIZED. An experimental navigation satellite called Pulsar-0, flying just 500 km above Earth, has mapped GPS signal tampering from space for the first time and the scale surprised even the engineers who built it. As soon as the satellite passed over Europe and parts of the Middle East, its GPS receiver showed massive signal degradation. In the worst areas, signal strength dropped from a normal 40 decibels all the way down to just 10 decibels. Why this matters: • Ground-based jammers (used in conflicts like Ukraine and the Middle East) are now reaching all the way into low Earth orbit • Satellites like Starlink that rely on GPS for collision avoidance and positioning are being affected across a huge region from France to the borders of Pakistan • When GPS drops out, satellites can’t accurately point their antennas, maintain formation, or safely maneuver • This isn’t just a military problem it threatens the growing network of commercial satellites we increasingly depend on The deeper implication: We’ve long known that GPS signals on the ground can be jammed. What we didn’t fully appreciate is how far those jamming signals reach into space. Even satellites in low Earth orbit the backbone of global communications, Earth observation, and future mega-constellations are now operating in an increasingly hostile electromagnetic environment. Xona’s upcoming constellation aims to fix this with signals 100 times stronger than traditional GPS. But the bigger question remains: as more nations and groups weaponize jamming and spoofing, how resilient will our orbital infrastructure actually be? How concerned are you that GPS jamming is now reaching into space and affecting satellites? Follow for more frontier space technology and the hidden vulnerabilities of our orbital systems.

🚨 A SATELLITE JUST REVEALED SOMETHING SHOCKING: GPS JAMMING IS FAR MORE WIDESPREAD THAN ANYONE REALIZED. An experimental navigation satellite called Pulsar-0, flying just 500 km above Earth, has mapped GPS signal tampering from space for the first time and the scale surprised even the engineers who built it. As soon as the satellite passed over Europe and parts of the Middle East, its GPS receiver showed massive signal degradation. In the worst areas, signal strength dropped from a normal 40 decibels all the way down to just 10 decibels. Why this matters: • Ground-based jammers (used in conflicts like Ukraine and the Middle East) are now reaching all the way into low Earth orbit • Satellites like Starlink that rely on GPS for collision avoidance and positioning are being affected across a huge region from France to the borders of Pakistan • When GPS drops out, satellites can’t accurately point their antennas, maintain formation, or safely maneuver • This isn’t just a military problem it threatens the growing network of commercial satellites we increasingly depend on The deeper implication: We’ve long known that GPS signals on the ground can be jammed. What we didn’t fully appreciate is how far those jamming signals reach into space. Even satellites in low Earth orbit the backbone of global communications, Earth observation, and future mega-constellations are now operating in an increasingly hostile electromagnetic environment. Xona’s upcoming constellation aims to fix this with signals 100 times stronger than traditional GPS. But the bigger question remains: as more nations and groups weaponize jamming and spoofing, how resilient will our orbital infrastructure actually be? How concerned are you that GPS jamming is now reaching into space and affecting satellites? Follow for more frontier space technology and the hidden vulnerabilities of our orbital systems.

TheNewPhysics

50,100 次观看 • 1 个月前

Gemini 3 Pro (left) vs ChatGPT 5.1 thinking vs Claude Opus 4.5 (right) Prompt: Multi-ball heptagon physics Write html, css, and javascript to display 20 balls bouncing inside a spinning heptagon. each ball should have a unique color, a number label, gravity, and collision detection with the walls. all code in one file.

Gemini 3 Pro (left) vs ChatGPT 5.1 thinking vs Claude Opus 4.5 (right) Prompt: Multi-ball heptagon physics Write html, css, and javascript to display 20 balls bouncing inside a spinning heptagon. each ball should have a unique color, a number label, gravity, and collision detection with the walls. all code in one file.

God of Prompt

105,823 次观看 • 8 个月前

Claude Sonnet 3.7 Coding Test Prompt: Create a single HTML file containing CSS and JavaScript to generate an animated weather card. The card should visually represent the following weather conditions with distinct animations: Wind: (e.g., moving clouds, swaying trees, or wind lines) Rain: (e.g., falling raindrops, puddles forming) Sun: (e.g., shining rays, bright background) Snow: (e.g., falling snowflakes, snow accumulating) Show all the weather card side by side The card should have a dark background. Provide all the HTML, CSS, and JavaScript code within this single file. The JavaScript should include a way to switch between the different weather conditions (e.g., a function or a set of buttons) to demonstrate the animations for each.

Claude Sonnet 3.7 Coding Test Prompt: Create a single HTML file containing CSS and JavaScript to generate an animated weather card. The card should visually represent the following weather conditions with distinct animations: Wind: (e.g., moving clouds, swaying trees, or wind lines) Rain: (e.g., falling raindrops, puddles forming) Sun: (e.g., shining rays, bright background) Snow: (e.g., falling snowflakes, snow accumulating) Show all the weather card side by side The card should have a dark background. Provide all the HTML, CSS, and JavaScript code within this single file. The JavaScript should include a way to switch between the different weather conditions (e.g., a function or a set of buttons) to demonstrate the animations for each.

Delusionals

866,326 次观看 • 1 年前

🇷🇺 Russia’s Starlink killers showcase new era of electronic battlefield warfare Russia has ramped-up EW use to detect and jam Elon Musk’s Starlink terminals and satellites, Ukrainian media reports. 👉 Meet Russia’s key counter-Starlink systems: 🔸 Volna Kupol Garant Russia’s latest electronic warfare system reportedly uses a directed high-frequency radio beam to disrupt Starlink operations. Rather than damaging satellites orbiting roughly 500 kilometers above Earth, the system blinds them – cutting their ability to connect with ground terminals while they remain under attack. According to reports, Volna is a mobile system built around six trailers. Each carries a pair of steerable satellite dishes mounted on rotating platforms. A single battery is reportedly capable of denying Starlink coverage across an area of up to 20 sq km. Some analysts say the system was previously referenced under the designation Peresvet-M, although this has not been independently confirmed. Ukrainian sources claim Volna was first deployed during Russia's offensive in the Kharkov region in 2024. They also say its use has increased significantly in recent months. 🔸 Tobol The secretive Russian EW complex is reportedly used to disrupt signals from NATO-linked satellite networks, including GPS, Galileo, and Starlink. Reports claim that Tobol attacks satellite communications on both ends of the link – jamming downlinks from satellites to ground receivers and uplinks from Earth to orbit. Its power and range also allegedly allow it to create an electromagnetic "umbrella." 🔸 Kalinka The system is designed to hunt down satellite communications signals, including those transmitted by Starlink terminals at distances of up to 15 km. It can reportedly track and lock onto even Starshield – SpaceX’s hardened military variant of Starlink. Western media warns that while Tobol disrupts GPS signals on a broad scale, the Kalinka’s precision-targeting capabilities could pose a more direct threat to specific military operations. 🔸 Krasukha The Krasukha-S4 is designed to neutralize reconnaissance satellites, ground-based radar installations, and airborne surveillance systems. It does so by emitting powerful electronic jamming signals that disrupt key radar bands and other radio-frequency emissions. A standard Krasukha-S4 battery consists of two vehicles and has an operational range exceeding 300 kilometers. 🔸 Borshchevik The light mobile system is designed to detect and geolocate Starlink terminals within a 180-degree sector at ranges of up to 10 km, with a reported accuracy of five meters. Using direction-finding and biangulation algorithms, it can locate a target in less than three minutes at a single scanning position. The Borshchevik-2 airborne system hunts Starlink signals from the sky, with reported accuracy down to 0.4 m.

🇷🇺 Russia’s Starlink killers showcase new era of electronic battlefield warfare Russia has ramped-up EW use to detect and jam Elon Musk’s Starlink terminals and satellites, Ukrainian media reports. 👉 Meet Russia’s key counter-Starlink systems: 🔸 Volna Kupol Garant Russia’s latest electronic warfare system reportedly uses a directed high-frequency radio beam to disrupt Starlink operations. Rather than damaging satellites orbiting roughly 500 kilometers above Earth, the system blinds them – cutting their ability to connect with ground terminals while they remain under attack. According to reports, Volna is a mobile system built around six trailers. Each carries a pair of steerable satellite dishes mounted on rotating platforms. A single battery is reportedly capable of denying Starlink coverage across an area of up to 20 sq km. Some analysts say the system was previously referenced under the designation Peresvet-M, although this has not been independently confirmed. Ukrainian sources claim Volna was first deployed during Russia's offensive in the Kharkov region in 2024. They also say its use has increased significantly in recent months. 🔸 Tobol The secretive Russian EW complex is reportedly used to disrupt signals from NATO-linked satellite networks, including GPS, Galileo, and Starlink. Reports claim that Tobol attacks satellite communications on both ends of the link – jamming downlinks from satellites to ground receivers and uplinks from Earth to orbit. Its power and range also allegedly allow it to create an electromagnetic "umbrella." 🔸 Kalinka The system is designed to hunt down satellite communications signals, including those transmitted by Starlink terminals at distances of up to 15 km. It can reportedly track and lock onto even Starshield – SpaceX’s hardened military variant of Starlink. Western media warns that while Tobol disrupts GPS signals on a broad scale, the Kalinka’s precision-targeting capabilities could pose a more direct threat to specific military operations. 🔸 Krasukha The Krasukha-S4 is designed to neutralize reconnaissance satellites, ground-based radar installations, and airborne surveillance systems. It does so by emitting powerful electronic jamming signals that disrupt key radar bands and other radio-frequency emissions. A standard Krasukha-S4 battery consists of two vehicles and has an operational range exceeding 300 kilometers. 🔸 Borshchevik The light mobile system is designed to detect and geolocate Starlink terminals within a 180-degree sector at ranges of up to 10 km, with a reported accuracy of five meters. Using direction-finding and biangulation algorithms, it can locate a target in less than three minutes at a single scanning position. The Borshchevik-2 airborne system hunts Starlink signals from the sky, with reported accuracy down to 0.4 m.

Sputnik

25,246 次观看 • 7 天前

C = εr ε0 (A/d) This demo shows capacitive coupling using water as a variable dielectric (εᵣ ≈ 80). The human body completes the circuit by touching the water, acting as the second conductor with its capacitance to ground. Hand/finger movement changes the effective area A and distance d, while ripples dynamically modulate C. This varying capacitance alters an oscillator’s frequency, which is converted into audio tones or MIDI in real time. Educational fluid-based sensors and interactive MIDI controllers for bio-signal acquisition and gesture-controlled music. Ideal for physics demos and human-interface experiments.

C = εr ε0 (A/d) This demo shows capacitive coupling using water as a variable dielectric (εᵣ ≈ 80). The human body completes the circuit by touching the water, acting as the second conductor with its capacitance to ground. Hand/finger movement changes the effective area A and distance d, while ripples dynamically modulate C. This varying capacitance alters an oscillator’s frequency, which is converted into audio tones or MIDI in real time. Educational fluid-based sensors and interactive MIDI controllers for bio-signal acquisition and gesture-controlled music. Ideal for physics demos and human-interface experiments.

Mathematica

47,149 次观看 • 3 个月前

the model in that clip has no good signal in it. it still put up +17% against the index's +5% the formula is doing the work R(t) = (Rmax / 7) · Σ s_i(t) seven separate signals, each scored, averaged into one number that's the entire model. no genius indicator anywhere in it and that's the part retail keeps missing retail hunts for the one signal that works a desk assumes every individual signal is weak and builds around that assumption here's why that assumption wins take N signals, each with sharpe s, and average them if they're uncorrelated, the combined sharpe is: s · √N seven weak signals at sharpe 0.3 each 0.3 × √7 = 0.79 nothing in that stack survives a backtest alone. together they clear the bar the noise in each signal is independent, so averaging cancels it the edge in each points the same way, so averaging keeps it that asymmetry is the whole mechanism but there's a catch, and it's the one that kills retail attempts correlation. the real formula is: s · √( N / (1 + (N−1)ρ) ) at ρ = 0.5 those same seven signals give: 0.3 × √(7 / 4) = 0.40 half the benefit, gone seven versions of momentum with different lookbacks aren't seven signals. they're one signal, repeated so the search isn't for better signals it's for signals that are wrong at different times grinold formalized this in 1989. the fundamental law of active management: IR = IC × √breadth skill per bet times the square root of how many independent bets you take you can be barely right, as long as you're barely right about many uncorrelated things renaissance doesn't run one model. it runs thousands of weak ones that's not a compromise. that's the design retail asks "is this signal good enough to trade" a desk asks "what does this add that i don't already have" the math is public. grinold's paper, every portfolio theory textbook the correlation matrix that tells you whether your signals are actually distinct is three lines of python they weren't finding better signals they were finding signals that disagree full breakdown in the article below

the model in that clip has no good signal in it. it still put up +17% against the index's +5% the formula is doing the work R(t) = (Rmax / 7) · Σ s_i(t) seven separate signals, each scored, averaged into one number that's the entire model. no genius indicator anywhere in it and that's the part retail keeps missing retail hunts for the one signal that works a desk assumes every individual signal is weak and builds around that assumption here's why that assumption wins take N signals, each with sharpe s, and average them if they're uncorrelated, the combined sharpe is: s · √N seven weak signals at sharpe 0.3 each 0.3 × √7 = 0.79 nothing in that stack survives a backtest alone. together they clear the bar the noise in each signal is independent, so averaging cancels it the edge in each points the same way, so averaging keeps it that asymmetry is the whole mechanism but there's a catch, and it's the one that kills retail attempts correlation. the real formula is: s · √( N / (1 + (N−1)ρ) ) at ρ = 0.5 those same seven signals give: 0.3 × √(7 / 4) = 0.40 half the benefit, gone seven versions of momentum with different lookbacks aren't seven signals. they're one signal, repeated so the search isn't for better signals it's for signals that are wrong at different times grinold formalized this in 1989. the fundamental law of active management: IR = IC × √breadth skill per bet times the square root of how many independent bets you take you can be barely right, as long as you're barely right about many uncorrelated things renaissance doesn't run one model. it runs thousands of weak ones that's not a compromise. that's the design retail asks "is this signal good enough to trade" a desk asks "what does this add that i don't already have" the math is public. grinold's paper, every portfolio theory textbook the correlation matrix that tells you whether your signals are actually distinct is three lines of python they weren't finding better signals they were finding signals that disagree full breakdown in the article below

delost

27,591 次观看 • 14 天前

The Coromandel Express, traveling at a speed of 128Kmph, had the proper authorization to proceed through the mainline, indicated by a green signal. However, someone tampered with the settings and diverted the train to the loop line, where a 6000 tonnes goods train was parked, even though the signal for the mainline remained green. This should not be possible, as India has a robust and world-renowned interlocking system in place. It appears to be a deliberate act of manipulation, suggesting culpable homicide. Such an act cannot be carried out by an individual with no significant influence; rather, it points towards the involvement of major players orchestrating this sabotage. An investigation is imperative to uncover the truth behind this incident.

The Coromandel Express, traveling at a speed of 128Kmph, had the proper authorization to proceed through the mainline, indicated by a green signal. However, someone tampered with the settings and diverted the train to the loop line, where a 6000 tonnes goods train was parked, even though the signal for the mainline remained green. This should not be possible, as India has a robust and world-renowned interlocking system in place. It appears to be a deliberate act of manipulation, suggesting culpable homicide. Such an act cannot be carried out by an individual with no significant influence; rather, it points towards the involvement of major players orchestrating this sabotage. An investigation is imperative to uncover the truth behind this incident.

BALA

908,848 次观看 • 3 年前

Airbus Vertical Speed Indicators (VSI) primarily use a blended "baro-inertial" system to display precise vertical speed, combining responsive inertial data from the Inertial Reference System (IRS) with long-term stable barometric pressure data. The inertial signal is used for dynamic maneuvers and air data for stability over time. This hybrid approach provides rapid responsiveness to pitch changes while maintaining accuracy, reducing errors inherent in using either system alone. Local airflow disruptions (such as turbulence or unsteady wind) can momentarily alter the static pressure, causing the VSI to show unsteadiness or oscillations even when the aircraft is on the ground.

Airbus Vertical Speed Indicators (VSI) primarily use a blended "baro-inertial" system to display precise vertical speed, combining responsive inertial data from the Inertial Reference System (IRS) with long-term stable barometric pressure data. The inertial signal is used for dynamic maneuvers and air data for stability over time. This hybrid approach provides rapid responsiveness to pitch changes while maintaining accuracy, reducing errors inherent in using either system alone. Local airflow disruptions (such as turbulence or unsteady wind) can momentarily alter the static pressure, causing the VSI to show unsteadiness or oscillations even when the aircraft is on the ground.

Arjun Singh

20,949 次观看 • 6 个月前

jhoanna: “we have our new EP—Signals. we called it SIGNALS because it represents where we are right now as an artists. we want to send a signal to the world that we are ready for what's next for BINI.” oh my God, jhoanna! 🙌🏻👏🏻 i will forever admire how fearless and articulate you are ✨ BINI ON GOOD DAY LA #GoodDayLAWithBINI #BINI_SignalsEP

jhoanna: “we have our new EP—Signals. we called it SIGNALS because it represents where we are right now as an artists. we want to send a signal to the world that we are ready for what's next for BINI.” oh my God, jhoanna! 🙌🏻👏🏻 i will forever admire how fearless and articulate you are ✨ BINI ON GOOD DAY LA #GoodDayLAWithBINI #BINI_SignalsEP

POGANDA 🌸📸

30,072 次观看 • 3 个月前

WHY HAS INDIA SIGNED THE CONDOLENCE BOOK FOR KHAMENEI? India’s decision to sign the condolence book for Ali Khamenei is being framed as a calibrated diplomatic signal rather than a political endorsement. FS Misri signed on behalf of the government to acknowledge protocol and maintain official channels with Iran, an important regional partner for India. The government describes it as a "graded response, an official level participation, not a political statement of mourning." By keeping the gesture bureaucratic and low key, New Delhi signals respect for diplomatic norms while avoiding a public position on the killing or the wider conflict involving Israel and the United States.

WHY HAS INDIA SIGNED THE CONDOLENCE BOOK FOR KHAMENEI? India’s decision to sign the condolence book for Ali Khamenei is being framed as a calibrated diplomatic signal rather than a political endorsement. FS Misri signed on behalf of the government to acknowledge protocol and maintain official channels with Iran, an important regional partner for India. The government describes it as a "graded response, an official level participation, not a political statement of mourning." By keeping the gesture bureaucratic and low key, New Delhi signals respect for diplomatic norms while avoiding a public position on the killing or the wider conflict involving Israel and the United States.

Rahul Shivshankar

380,828 次观看 • 5 个月前

🇺🇦🇷🇺 UKRAINE DEPLOYS ROBOTS TO SURVIVE RUSSIAN “KILL-ZONE” In the hellscape of Pokrovsk, Ukraine is now fighting for survival with ground robots - not just soldiers. Unmanned ground vehicles (UGVs), or “land drones,” are delivering 90% of supplies to frontline troops, dodging Russian drones, artillery, and landmines in a zone so deadly it’s known as “the kill-zone.” Too dangerous for trucks. Too slow on foot. The robots go where humans can’t. Each mission starts in a garage. Ends in life-or-death. One out of three makes it. Welcome to the world’s first robot-supplied battlefield - where survival depends on battery life and signal strength. Source: BBC

🇺🇦🇷🇺 UKRAINE DEPLOYS ROBOTS TO SURVIVE RUSSIAN “KILL-ZONE” In the hellscape of Pokrovsk, Ukraine is now fighting for survival with ground robots - not just soldiers. Unmanned ground vehicles (UGVs), or “land drones,” are delivering 90% of supplies to frontline troops, dodging Russian drones, artillery, and landmines in a zone so deadly it’s known as “the kill-zone.” Too dangerous for trucks. Too slow on foot. The robots go where humans can’t. Each mission starts in a garage. Ends in life-or-death. One out of three makes it. Welcome to the world’s first robot-supplied battlefield - where survival depends on battery life and signal strength. Source: BBC

Mario Nawfal

227,775 次观看 • 8 个月前

Boundless is bringing ZK to every blockchain. ZKC is the backbone of ZK proving everywhere. - 4M+ have signed the Manifesto. - Almost 300 ETH has been raised to keep The Signal powered indefinitely. - On August 25th, the Boundless community sale will open on Kaito Capital Launchpad. Community members who participated in Mainnet Beta and secured a Bronze, Silver, Gold, or Diamond tier are eligible to both their token bonus and priority allocation in the sale. Infrastructure and applications co-owned by those who build it and use it, as it should be.

Boundless is bringing ZK to every blockchain. ZKC is the backbone of ZK proving everywhere. - 4M+ have signed the Manifesto. - Almost 300 ETH has been raised to keep The Signal powered indefinitely. - On August 25th, the Boundless community sale will open on Kaito Capital Launchpad. Community members who participated in Mainnet Beta and secured a Bronze, Silver, Gold, or Diamond tier are eligible to both their token bonus and priority allocation in the sale. Infrastructure and applications co-owned by those who build it and use it, as it should be.

Boundless

332,513 次观看 • 11 个月前

SOMEONE FROM TOKYO IS MAPPING BIRD LANGUAGE INTO REAL DATA PATTERNS AND THE VISUALIZATION LOOKS LIKE A NEURAL NETWORK DREAMING Every bird sound - frequency, duration, amplitude and modulation - gets converted into 3D space coordinates and rendered as a cluster of colored points in real time through Deepen AI. A microphone captures the acoustic signal, FFT breaks it down into frequency components from 1 kHz to 8 kHz where most birds communicate, an ML model classifies the pattern and the mapped data hits a graph where each call type gets its own color and position in space. Birds have a vocal repertoire of 5 to 200+ unique signals depending on the species - and every signal carries different information about predators, food, territory and mates that humans simply can't hear. The same technology that decodes bird language detects anomalies in industrial machinery, cardiac rhythms and structural vibrations in buildings - he just trained it on nature first.

SOMEONE FROM TOKYO IS MAPPING BIRD LANGUAGE INTO REAL DATA PATTERNS AND THE VISUALIZATION LOOKS LIKE A NEURAL NETWORK DREAMING Every bird sound - frequency, duration, amplitude and modulation - gets converted into 3D space coordinates and rendered as a cluster of colored points in real time through Deepen AI. A microphone captures the acoustic signal, FFT breaks it down into frequency components from 1 kHz to 8 kHz where most birds communicate, an ML model classifies the pattern and the mapped data hits a graph where each call type gets its own color and position in space. Birds have a vocal repertoire of 5 to 200+ unique signals depending on the species - and every signal carries different information about predators, food, territory and mates that humans simply can't hear. The same technology that decodes bird language detects anomalies in industrial machinery, cardiac rhythms and structural vibrations in buildings - he just trained it on nature first.

Cortex

11,098 次观看 • 2 个月前

Illegal Foreigners in Bellville declared that they are tired of being harassed by the March and March movement. They challenged anyone who tried to harass or attack them, striking a metal object on the ground as a warning and saying, "Try us. We're not going anywhere."

Illegal Foreigners in Bellville declared that they are tired of being harassed by the March and March movement. They challenged anyone who tried to harass or attack them, striking a metal object on the ground as a warning and saying, "Try us. We're not going anywhere."

#PutSouthAfricansfirst

26,944 次观看 • 1 个月前

❗️🇺🇦🥔 Zelensky warns Belarusian dictator once again: 📌 “Before taking any public step, I resort to non-public measures for de-escalation. Belarus has received information at the intelligence and military level: stop helping the ‘Russians.’” 📌 “Step number one — no technical support. Turn it off, remove it and show us that it is stopped. Since this has been conveyed to them more than once, we have reached the stage of a public signal. If he does not do this, we will turn everything off (destroy it… hinting at the retranslators used for the wide and uninterrupted dissemination of signals from Russian reconnaissance and kamikaze drones deep into Ukrainian territory).” 📌 “We are also sending a signal: please stop supplying fuel to the Russian army. There is no threat here. We are simply saying that we see this. The first steps are always confidential, while the next steps are different.” Video is generated by Grok AI

❗️🇺🇦🥔 Zelensky warns Belarusian dictator once again: 📌 “Before taking any public step, I resort to non-public measures for de-escalation. Belarus has received information at the intelligence and military level: stop helping the ‘Russians.’” 📌 “Step number one — no technical support. Turn it off, remove it and show us that it is stopped. Since this has been conveyed to them more than once, we have reached the stage of a public signal. If he does not do this, we will turn everything off (destroy it… hinting at the retranslators used for the wide and uninterrupted dissemination of signals from Russian reconnaissance and kamikaze drones deep into Ukrainian territory).” 📌 “We are also sending a signal: please stop supplying fuel to the Russian army. There is no threat here. We are simply saying that we see this. The first steps are always confidential, while the next steps are different.” Video is generated by Grok AI

NSTRIKE

31,182 次观看 • 1 个月前

If Pakistan is considering adopting the second name, then a new clause or preamble should be added that reflects both the founder's vision and its civilisational roots. "Pakistan, that is the Indus Valley, is a secular democratic republic based on the principles of liberty, fraternity and equality, as envisioned by its founding father. Pakistan is a spiritual successor to the multi-ethnic, regional and religious cultures it inherited upon its independence as a federation. Economically, Pakistan shall be a social welfare state morally inspired by the Islamic modernist ideals of egalitarianism and equality of mankind. The state of Pakistan shall be referred to as the 'Federation of Pakistan'."

If Pakistan is considering adopting the second name, then a new clause or preamble should be added that reflects both the founder's vision and its civilisational roots. "Pakistan, that is the Indus Valley, is a secular democratic republic based on the principles of liberty, fraternity and equality, as envisioned by its founding father. Pakistan is a spiritual successor to the multi-ethnic, regional and religious cultures it inherited upon its independence as a federation. Economically, Pakistan shall be a social welfare state morally inspired by the Islamic modernist ideals of egalitarianism and equality of mankind. The state of Pakistan shall be referred to as the 'Federation of Pakistan'."

MD Umair Khan

49,949 次观看 • 1 个月前

Prompt : Epic long shot: An offshore earthquake triggers a towering tsunami wall. Camera starts in satellite view revealing the wave’s terrifying arc, then drops to a forward-facing ground perspective on a coastal highway. The motorcycle rider appears as a small figure in the distance and charges straight toward the lens, growing rapidly larger as the tsunami races behind them. The camera holds position ahead of the rider (front/three-quarter frontal view), letting the wall of water loom in the background. In the final beats, the rider crests the top level and exits inland onto dry, elevated streets, leaving the surge contained beneath and behind, escaping into safe land.

Prompt : Epic long shot: An offshore earthquake triggers a towering tsunami wall. Camera starts in satellite view revealing the wave’s terrifying arc, then drops to a forward-facing ground perspective on a coastal highway. The motorcycle rider appears as a small figure in the distance and charges straight toward the lens, growing rapidly larger as the tsunami races behind them. The camera holds position ahead of the rider (front/three-quarter frontal view), letting the wall of water loom in the background. In the final beats, the rider crests the top level and exits inland onto dry, elevated streets, leaving the surge contained beneath and behind, escaping into safe land.

Umesh

42,493 次观看 • 5 个月前

A simplified summary of my simulations of how drone detector antenna placement affects signal reception, expressed as a conditional drone detection range for different frequencies - obtained roughly by normalizing the square root of total gain to a typical drone detection range. Red line - detection distance for antenna on the roof, blue line - for antenna under the windshield. Considering that the main sector from which drones can approach the vehicle is elevation from 0 to 30 degrees, and also that in reality the glass will attenuate the signal more strongly than in my simulations - mounting the drone detector antennas inside the vehicle significantly reduces its practical drone detection range, especially in the rear hemisphere.

A simplified summary of my simulations of how drone detector antenna placement affects signal reception, expressed as a conditional drone detection range for different frequencies - obtained roughly by normalizing the square root of total gain to a typical drone detection range. Red line - detection distance for antenna on the roof, blue line - for antenna under the windshield. Considering that the main sector from which drones can approach the vehicle is elevation from 0 to 30 degrees, and also that in reality the glass will attenuate the signal more strongly than in my simulations - mounting the drone detector antennas inside the vehicle significantly reduces its practical drone detection range, especially in the rear hemisphere.

Alex

73,034 次观看 • 2 个月前

[Discrete Fourier Transform] by Hand ✍️ In signal processing, the Discrete Fourier Transform (DFT) is no doubt the most important method. But the math involved is extremely complex, literally, involving a summation over a complex number term e^(-iwt). I developed this exercise to demonstrate that underneath such complexity, DFT is just a series of matrix multiplications you can calculate by hand. ✍️ Once you see that, it should not surprise you that a deep neural network, which is also a series of matrix multiplications, with activation functions in-between, can learn to perform DFT to process and analyze signals so effectively. How does DFT work? [1] Given ↳ Signals A, B, and C in the 🟧 frequency domain: ◦ A = cos(w) + 2cos(2w) ◦ B = cos(w) + cos(3w) + cos(4w) ◦ C = -cos(2w) + cos(3w) ◦ Each signal is a weighed sum of four cosine waves at frequencies 1w, 2w, 3w, and 4w. ◦ We will apply Inverse DFT to convert the signals to time domain representations, and then demonstrate DFT can convert back to their original frequency domain representations. ↳ Signal X in the 🟩 time domain. X is sampled at 10 time points 1t, 2t, …, 10t: ◦ X = [-2.5, -1.8, 3, -0.7, -1.0, -0.7, 3, -1.8, -2.5, 5] ◦ Suppose X is also a weighted sum of the same four cosine waves, but we don’t already know their weights. We will apply DFT to discover them. [2] 🟧 Frequency Matrix (F) ↳ Write the coefficients of A, B, C as a matrix F. Each signal is a row. Each frequency is a column. ↳ A → [1, 2, 0, 0] ↳ B → [1, 0, 1, 1] ↳ C → [0, 1-, 1, 0] [3] Cosine → Discrete ↳ Sample from the continuous cosine waves at discrete time points 1t, 2t, 3t, to 10t. [4] Cosine Matrix (W) ↳ Write the samples as a matrix, Each frequency is a row. Each time point is a column. [5] Inverse DFT: 🟧 Frequency → 🟩 Time ↳ Multiply the frequency matrix F and the cosine matrix W. ↳ The meaning of this multiplication is to linearly combine the four cosine waves (rows in W) into time-domain signals (rows in T) using the weights specified in F. ↳ The result is matrix T, which are signals A, B, C converted to the time domain. Each signal is a row. Each time point is a column. [6] Transpose ↳ Transpose T, converting each signal’s time domain representation from a row to a column. [7] DFT: 🟩 Time → 🟧 Frequency ↳ Multiply the cosine matrix W with the transpose of matrix T. ↳ The purpose of this multiplication is to take a dot-product between each time-domain signal (columns in the transpose of T) and each cosine wave (rows in W), which has the effect of projecting the signal onto a cosine wave to determine how much they are correlated. Zero means not correlated at all. ↳ The result is an intermediate version of the “recovered” frequency matrix where each column corresponds to a signal and each row corresponds to a frequency. ↳ Compared to the original frequency matrix F, this intermediate matrix has non-zero weights in the correct places, but scaled up by a factor of 5 (n/2, n=10). For example, signal A, originally [1,2,0,0], is recovered at [5,10,0,0]. [8] Scale ↳ Multiply each value by 2/n = 1/5 to scale down the intermediate matrix to match the magnitude of the original frequency matrix F. [9] Transpose ↳ Transpose the recovered frequency matrix back to the same orientation of the original frequency matrix F. ↳ Like magic 🪄, the result is identical to the original F, which means DFT successfully recovered the frequency components of signals A, B, C. [10] Apply DFT to X: 🟩 Time → 🟧 Frequency ↳ Now that we have some confidence in DFT’s ability to recover frequency components, we apply DFT to X’s time-domain representation by multiplying W with X. ↳ The result is the an intermediate matrix. [11] Scale ↳ Similarly, we scale down by a factor of 5 to obtain the recovered frequency components of X (a column). [12] Transpose ↳ Similarly, we transpose the recovered column to row to match the orientation of the frequency matrix. ↳ Using the coefficients [0,0,3,2], we can write the equation of X as 3cos(3w) + 2cos(4w). Notes: I hope this by hand exercise helps you understand the essence of DFT. But there is more technical details, such as: • Sine: The complete DFT math also includes sine waves that follow a similar calculation process. • Phase: Here, we assume all the cosine waves are aligned at the origin, namely, phase is 0. If a phase p is added, for example, cos(w+p), we will need to calculate the sine component and use their ratio to figure out what p is. • Magnitude: If phase is not zero, the magnitude will need to be calculated by combining both cosine and sine terms.

[Discrete Fourier Transform] by Hand ✍️ In signal processing, the Discrete Fourier Transform (DFT) is no doubt the most important method. But the math involved is extremely complex, literally, involving a summation over a complex number term e^(-iwt). I developed this exercise to demonstrate that underneath such complexity, DFT is just a series of matrix multiplications you can calculate by hand. ✍️ Once you see that, it should not surprise you that a deep neural network, which is also a series of matrix multiplications, with activation functions in-between, can learn to perform DFT to process and analyze signals so effectively. How does DFT work? [1] Given ↳ Signals A, B, and C in the 🟧 frequency domain: ◦ A = cos(w) + 2cos(2w) ◦ B = cos(w) + cos(3w) + cos(4w) ◦ C = -cos(2w) + cos(3w) ◦ Each signal is a weighed sum of four cosine waves at frequencies 1w, 2w, 3w, and 4w. ◦ We will apply Inverse DFT to convert the signals to time domain representations, and then demonstrate DFT can convert back to their original frequency domain representations. ↳ Signal X in the 🟩 time domain. X is sampled at 10 time points 1t, 2t, …, 10t: ◦ X = [-2.5, -1.8, 3, -0.7, -1.0, -0.7, 3, -1.8, -2.5, 5] ◦ Suppose X is also a weighted sum of the same four cosine waves, but we don’t already know their weights. We will apply DFT to discover them. [2] 🟧 Frequency Matrix (F) ↳ Write the coefficients of A, B, C as a matrix F. Each signal is a row. Each frequency is a column. ↳ A → [1, 2, 0, 0] ↳ B → [1, 0, 1, 1] ↳ C → [0, 1-, 1, 0] [3] Cosine → Discrete ↳ Sample from the continuous cosine waves at discrete time points 1t, 2t, 3t, to 10t. [4] Cosine Matrix (W) ↳ Write the samples as a matrix, Each frequency is a row. Each time point is a column. [5] Inverse DFT: 🟧 Frequency → 🟩 Time ↳ Multiply the frequency matrix F and the cosine matrix W. ↳ The meaning of this multiplication is to linearly combine the four cosine waves (rows in W) into time-domain signals (rows in T) using the weights specified in F. ↳ The result is matrix T, which are signals A, B, C converted to the time domain. Each signal is a row. Each time point is a column. [6] Transpose ↳ Transpose T, converting each signal’s time domain representation from a row to a column. [7] DFT: 🟩 Time → 🟧 Frequency ↳ Multiply the cosine matrix W with the transpose of matrix T. ↳ The purpose of this multiplication is to take a dot-product between each time-domain signal (columns in the transpose of T) and each cosine wave (rows in W), which has the effect of projecting the signal onto a cosine wave to determine how much they are correlated. Zero means not correlated at all. ↳ The result is an intermediate version of the “recovered” frequency matrix where each column corresponds to a signal and each row corresponds to a frequency. ↳ Compared to the original frequency matrix F, this intermediate matrix has non-zero weights in the correct places, but scaled up by a factor of 5 (n/2, n=10). For example, signal A, originally [1,2,0,0], is recovered at [5,10,0,0]. [8] Scale ↳ Multiply each value by 2/n = 1/5 to scale down the intermediate matrix to match the magnitude of the original frequency matrix F. [9] Transpose ↳ Transpose the recovered frequency matrix back to the same orientation of the original frequency matrix F. ↳ Like magic 🪄, the result is identical to the original F, which means DFT successfully recovered the frequency components of signals A, B, C. [10] Apply DFT to X: 🟩 Time → 🟧 Frequency ↳ Now that we have some confidence in DFT’s ability to recover frequency components, we apply DFT to X’s time-domain representation by multiplying W with X. ↳ The result is the an intermediate matrix. [11] Scale ↳ Similarly, we scale down by a factor of 5 to obtain the recovered frequency components of X (a column). [12] Transpose ↳ Similarly, we transpose the recovered column to row to match the orientation of the frequency matrix. ↳ Using the coefficients [0,0,3,2], we can write the equation of X as 3cos(3w) + 2cos(4w). Notes: I hope this by hand exercise helps you understand the essence of DFT. But there is more technical details, such as: • Sine: The complete DFT math also includes sine waves that follow a similar calculation process. • Phase: Here, we assume all the cosine waves are aligned at the origin, namely, phase is 0. If a phase p is added, for example, cos(w+p), we will need to calculate the sine component and use their ratio to figure out what p is. • Magnitude: If phase is not zero, the magnitude will need to be calculated by combining both cosine and sine terms.

Tom Yeh

116,622 次观看 • 2 年前