Game development is currently on a race to the bottom. It’s an industry of brutal competition – which creates some of the most innovative ways to bring ideas to the market faster and cheaper.
A new method of using low-poly meshes to generate higher quality facial and character animation is looking to replace standard character modelers and animators.
Likely inspired by the many people on X who have for the past few days used ChatGPT to render famous photos and memes in the style of Hayao Miyazaki’s Studio Ghibli films, PJ Ace said he spent $250 in Kling credits and in 9 hours had re-created the Fellowship of the Rings trailer.
AI is dramatically changing the creative landscape.
Traditional phone and reservation services are ripe for being replaced by AI bots. We each could soon should have a small army of bots that do all kinds of menial tasks for us. In fact, some are even predicting that AI agents may soon surpass people as primary application users. Who wouldn’t like to tell their phone to find them the cheapest flight to Cancun in 2 weeks and have it do all the searching?
To speed up the increasing bot-to-bot interaction and reduce delay and compute required to translate to and from speech, why not let the bots use a faster, less error-prone communication method?
Gibberlink mode is available here: https://gbrl.ai/
The project’s source code is shared on github: https://github.com/PennyroyalTea/gibberlink
Researchers at Zheijang University in Hangzhou have trained a drone swarm smart to fly autonomously through an unfamiliar forest, without a centralized control system. The drones communicated with each other and tracked a man moving through the forest. They published the results in a paper in the journal Science Robotics.
As with all things – this could be used to send drones into collapsed buildings to search for survivors, or used on the battlefield of the future. Since this is already 2 years old, you can imagine how much better such a system is today.
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David Gewirtz reviews a bunch of AI tools for coding; and does some ranking.
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There I Ruined It uses AI to make crazy mashups of the most unlikely singers singing completely opposite songs. Check out Hank Williams singing Straight Out of Compton.
This problem is very serious since AI’s are often trained on Github projects. This means your AI generated code is increasingly more likely to have serious security issues in it.
GitHub is undergoing automated attacks involving the cloning and creation of huge numbers of malicious code repositories, and while the developers have been working to remove the affected repos, a significant amount are said to survive, with more uploaded on a regular basis.
An unknown attacker has managed to create and deploy an automated process that forks and clones existing repositories, adding its own malicious code which is concealed under seven layers of obfuscation.
Given the current scale of the attack, said by the researchers to be in the millions of uploaded or forked repositories, even a 1% miss-rate still means potentially thousands of compromised repos still on the site.
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David Plummer re-created the classic game Breakout using Grok 3 AI. It generated a Javascript program that can be played in a browser. He even shared the prompts and code on github.
Another score for AI heavily augmenting the need for programmers.
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AI companies are desperate for content to train their models. They’re catching increasing flack for hammering websites and scraping every bit of written, video, and still image content on the entire internet. AI company data scrapers have been busted for everything from grabbing copyright data to more practical problems of hammering certain websites millions of times a day and ignoring robots.txt files that are used to tell bots what to stay out of.
Building on an anti-spam cybersecurity tactic known as tarpitting, he created Nepenthes, malicious software named after a carnivorous plant that will “eat just about anything that finds its way inside.”
Aaron clearly warns users that Nepenthes is aggressive malware. It’s not to be deployed by site owners uncomfortable with trapping AI crawlers and sending them down an “infinite maze” of static files with no exit links, where they “get stuck” and “thrash around” for months, he tells users. Once trapped, the crawlers can be fed gibberish data, aka Markov babble, which is designed to poison AI models.
It’s just one more counterattack in poisoning and combating AI.
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A team consisting of Skatterbencher who’s renowned for overclocking prowess; Diabatix, specializing in generative AI for thermal solutions; 3D Systems for additive manufacturing; and finally ElmorLabs for overclocking gear put together a unique cooler.
The team took ElmorLabs’ existing Volcano LN2 container as a reference point, then used Diabatix’s ColdStream Next AI to generate an improved design. 3D Systems then 3D printed a prototype using oxygen-free copper powder. The cutting-edge process commanded a steep $10,000 price tag – a far cry from the $260 cost of the original Volcano.
The design did do better than the stock Volcano. Using 500mL of LN2, it hit -133°C, while the Volcano stopped short at -100°C
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