📌 TOPINDIATOURS Eksklusif ai: Amateurs Using AI to “Vibe Code” Are Now Begging Rea

Welcome to the future, where the vibes are bad in almost every meaningful respect — but where you do, at the very least, get to “vibe code,” or use an AI model to write code and even build entire pieces of software.

But rarely does the process go smoothly enough for prime time. The jury’s still out on whether experienced programmers actually benefit from using AI coding assistants, and the tech’s shortcomings are even more obvious when it’s being relied on by untrained amateurs who openly embrace the whole shtick of working off mainly “vibes.” 

Nothing illustrates that last point better than the fact that some veteran programmers are apparently now making a killing by fixing these AI-hallucinated disasters, as spotlighted by 404 Media, which interviewed a few of these canny opportunists.

“I started fixing vibe-coded projects because I noticed a growing number of developers and small teams struggling to refine AI-generated code that was functional but lacked the polish or ‘vibe’ needed to align with their vision,” Hamid Siddiqi, a programmer who offers to “fix your vibe code” on Fiverr, told the outlet.

Siddiqi added that these clients need help with everything from horrendously optimized code to botched AI-generated UIs. 

And business is booming.

“I’ve been offering vibe coding fixer services for about two years now, starting in late 2023,” Siddiqi told 404. “Currently, I work with around 15-20 clients regularly, with additional one-off projects throughout the year.”

AI models are notorious for hallucinating and generally not doing what you intend them to do. One man found this out the hard way after his vibe-coding AI wiped out his business’s entire database. Nonetheless, even the largest tech firms have embraced using AI coding assistants. Google CEO Sundar Pichai claimed that as much as 25 percent of the company’s code is now AI-generated; Microsoft chief Satya Nadella did one better and claimed that it was 30 percent at his company.

Some research has suggested that relying on the tech does the opposite of making workflows more efficient, as programmers have to constantly double and triple check the AI’s error-laden outputs. One recent study found that programmers who used tools like Anthropic’s Claude were a whopping 19 percent slower, and ended up using less than half of the AI’s suggestions.

It’s no surprise, then, that Siddiqi is far from alone. Searching “vibe code fixer” on Fiverr, which is just one of many popular gig work platforms, returns over 230 results. Fixing “vibe code,” or some permutation thereof, is explicitly mentioned by many of these programmers describing their services.

Some companies are getting in on the scene, too. 404 cited one software firm, Ulam Labs, which says on its website that “we clean up after vibe coding. Literally.”

There’s even an entire website dedicated to the niche: VibeCodeFixers.com. Its founder Swatantra Sohni told 404 that over 300 veteran programmers have already signed up. He bought the domain immediately after Andrej Karpathy, a prominent computer scientist and a former director of AI at Tesla, coined the term in February. The writing on the wall was that obvious.

“Most of these vibe coders, either they are product managers or they are sales guys, or they are small business owners, and they think that they can build something,” Sohni told 404.

Often, he found that vibe coders burn money on AI usage fees in the final stages of development when they try to add new features that break the app, at which point it would be cheaper to just start from scratch.

Luckily for Siddiqi and company, they often don’t.

More on AI: Programmers Using AI Create Way More Glaring Security Issues, Data Shows

The post Amateurs Using AI to “Vibe Code” Are Now Begging Real Programmers to Fix Their Botched Software appeared first on Futurism.

🔗 Sumber: futurism.com

📌 TOPINDIATOURS Eksklusif ai: Scientists tune in as lithium battery sounds expose

Researchers at MIT have developed a method to interpret faint acoustic signals from lithium-ion batteries, opening the door to safer and longer-lasting energy storage.

The study links specific sound patterns to internal degradation processes, offering a low-cost way to monitor battery health in electric vehicles and grid-scale systems.

Linking sounds to degradation

The team from MIT’s Department of Chemical Engineering analyzed the subtle noises batteries make as they charge and discharge.

They found clear correlations between acoustic signatures and processes like gas generation or fracturing of electrode materials.

“In this study, through some careful scientific work, our team has managed to decode the acoustic emissions,” says Martin Z. Bazant, Chevron Professor of Chemical Engineering and professor of mathematics.

“We were able to classify them as coming from gas bubbles that are generated by side reactions, or by fractures from the expansion and contraction of the active material, and to find signatures of those signals even in noisy data.”

Graduate student Yash Samantaray adds that the approach allows investigation without damaging cells.

“I think the core of this work is to look at a way to investigate internal battery mechanisms while they’re still charging and discharging, and to do this nondestructively,” he says.

The researchers coupled electrochemical testing with acoustic recordings under real-world conditions.

They could pinpoint when certain emissions occurred by pairing voltage and current readings with sound patterns. After testing, they confirmed the results by examining cells under an electron microscope.

Toward real-world monitoring

Earlier attempts relied on crude thresholds, logging sound levels when they rose above a certain point. MIT’s team went further, using wavelet transforms to separate distinct signals from background noise. “No one had done that before,” Bazant says.

The method echoes how engineers track structural health in bridges. It offers an additional “window” beyond voltage and current in batteries. Bazant notes that it can reveal remaining useful life and even safety risks.

In related work with Oak Ridge National Laboratory, the team showed acoustic data could warn of thermal runaway before it triggered fires.

Samantaray sees immediate applications for material research. Lab groups could detect gas generation or particle fracturing without disassembling cells.

Bazant highlights value in manufacturing, where early detection of faulty cells could cut costs during formation cycling.

“By sensing them, it may be easier to isolate well-formed cells from poorly formed cells very early, even before the useful life of the battery, when it’s being made,” he says.

The group is already working with Tata Motors on a monitoring system for electric vehicles. They say the knowledge could help the industry build cheaper and safer diagnostic tools.

The study, published September 5 in Joule, was led by Samantaray and Alexander Cohen, along with former MIT research scientist Daniel Cogswell and Bazant.

It received support from the Toyota Research Institute, the Center for Battery Sustainability, the National Science Foundation, and the Department of Defense.

🔗 Sumber: interestingengineering.com