Coinspect confirms over $5M stolen via the Ill Bloom flaw. Weak seed generation left older mobile and browser-extension wallets exposed.
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy of financial market forecasts across major stock indices and so-called cryptocurrency, according to work in the International Journal of Reasoning-based Intelligent Systems.
The researchers designed the model, CLSTM-HN, to address a long-standing problem in financial forecasting: balancing the detection of short-term market movements with the recognition of longer-term trends. The researchers tested the system on publicly available data and achieved a forecasting error 15% to 20% lower than that of conventional long-short-term memory (LSTM) models. They also saw an improvement in the accuracy of predicting whether prices would rise or fall by 10% to 14%.
Financial markets are difficult to predict because prices are volatile, noisy and subject to sudden structural shifts. Traditional statistical approaches often rely on assumptions about market behavior that break down during periods of instability.
🫣🤫🤔 Let’s face it: we’re still a Type 0 civilization on the Kardashev Scale… though, to be honest, we’re much closer to the Kardashian Scale 😁 endless entertainment, constant distractions, and celebrity obsession. 🙈🙉🙊 A true Type I civilization would be focused on mastering energy, advancing science, and solving humanity’s biggest challenges. We’ve still got a long way to go! While most people’s main concerns revolve around material comfort, entertainment, and instant gratification, who truly cares about the fate of the most vulnerable? About social exclusion? Inequality? The pollution and destruction of our environment? Who cares about the massive extinction of million of species now underway? Who cares about sustainable development and peace for everyone? A true Type I civilization would be collectively focused on optimizing how it functions and shaping a better future for everyone. We’re still very, very far from that.
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Hello and welcome! My name is Anton and in this video, we will talk about an interesting study on the Fermi paradox, type II civilizations and…bitcoin?
Links:
https://arxiv.org/pdf/2604.23026
https://arxiv.org/pdf/2510.03249
https://arxiv.org/pdf/2604.17516
#fermiparadox #bitcoin #science.
0:00 How we measure alien civilizations.
2:00 Kardashev scale conundrum.
3:25 New model using bitcoin and artificial intelligence.
4:08 Why bitcoin? The Karnac unit.
5:50 Energy required to change a unit of information — Landauer limit.
8:00 New definition for Type 2 civilization.
8:45 AI demand is changing energy consumption.
10:20 Energy limit speculations.
11:40 The great filter hypothesis.
12:30 The crossroads for humanity — conclusions.
Enjoy and please subscribe.
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Hello and welcome! My name is Anton and in this video, we will talk about the new explanation for what time actually is and a creation of a mini universe in the lab.
Links:
https://journals.aps.org/prresearch/p…
#time #physics #boseeinsteincondensate.
0:00 Experiment that changes how we think about time.
1:30 Measuring the mini universe.
2:05 What is Bose-Einstein Condensate?
3:00 Entropy?
3:50 The problem of time.
5:08 How this was tested.
6:05 Mini Big Bang and the simulation of time.
7:05 Results and what this means for the idea of time.
8:00 Strange observations.
9:05 Implications and conclusions.
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Support this channel on Patreon to help me make this a full time job: / whatdamath (Unreleased videos, extra footage, DMs, no ads)
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Hello and welcome! My name is Anton and in this video, we will talk about distributed intelligence and experiments on slime mold and ants.
Links:
https://journals.aps.org/prxlife/pdf/.…
ANT Lab • The odorous house ant trail pheromone depo…
Audrey Dussutour • Blob crawling around.
#inteligence #artificialintelligence #biology.
0:00 Intelligence — what is it?
1:10 Mechanical intelligence in the slime mold.
3:30 How it seems to work.
5:55 Ants and swarm intelligence.
6:45 What is the queen for?
8:35 Other swarm animals.
9:45 Ants vs humans.
11:10 Collective intelligence.
12:00 Implications for AI
13:20 Implications for the existence of alien intelligence.
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A new macOS ClickFix campaign is using Terminal commands to silently download, mount, and launch info-stealing malware from malicious disk image (DMG) files.
The campaign is infecting Mac devices with the Atomic macOS Stealer (AMOS) infostealer, which steals browser credentials, cryptocurrency wallet data, Keychain data, messaging app information, and user documents.
Researchers at Palo Alto Networks Unit 42 first discovered the campaign and say it begins with a fake CAPTCHA page that tells users to open Terminal and paste a malicious command to verify themselves.
A new Android banking trojan named Rokarolla is targeting 217 banking and cryptocurrency applications using an extensive set of 137 commands.
The malware is distributed via malicious websites purporting to provide the Google Chrome or TikTok app, and can take complete administrative control of a compromised device.
Its capabilities include stealing lock screen credentials, contact lists, and SMS data, as well as using keyloggers to continuously record user input.
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Hello and welcome! My name is Anton and in this video, we will talk about a few studies that explain how the human brain developed complexity.
Links:
https://linkinghub.elsevier.com/retri…
Other videos:
• Surprise Evidence That Gut Microbes Direct…
• Mindblowing Discoveries About Bacteria Liv…
• Direct Connection Between Gut Microbiome a…
#brain #biology #evolution.
0:00 Discoveries about the evolution of the brain.
1:20 800 Million years ago… how it all began.
3:10 Did nervous system evolve multiple times? Comb jellies.
4:45 Big brains — primates vs octopuses.
9:20 Human brains and human intelligence genes.
11:20 Gut microbes and fuel for the brain.
12:20 Conclusions and implications.
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A new supply-chain attack has infected 36 packages on the Node Package Manager (npm) index with infostealer malware called IronWorm.
The malware targets 86 environment variables (key-value pairs) and 20 credential files that may contain OpenAI, AWS, Anthropic, and npm credentials, vault configuration files, SSH keys, and Exodus cryptocurrency wallet files.
According to researchers at supply-chain and devops company JFrog, IronWorm is written in Rust, hides behind an eBPF kernel rootkit, and communicates with the operator over the Tor network.