📌 TOPINDIATOURS Breaking ai: Man Builds Huge Battery Bank From 500 Disposable Vape

When it comes to wasteful consumption, maybe nothing is as symbolic as the disposable vape.

In 2023, the US alone was responsible for throwing out almost six vapes per second, or tens of millions of vapes a year, according to a report by the Public Interest Network. It doesn’t help that vapes seem engineered to wreak maximum as much havoc on the environment as on human lungs, containing non-recyclable lithium ion batteries housed in a forever-plastic shell.

However, it doesn’t have to be this way. As one 2023 study found, the lithium ion batteries used in most “single-use” vapes could be recharged up to 700 times. If you could somehow harvest all that storage power, it would have considerable value — but how could it be done?

That’s a question YouTuber Chris Doel was eager to find the answer to. Doel recently embarked on a months-long DIY project to repurpose 500 junk vapes found in the street to build a battery bank capable of powering his entire house.

To do so, he set out cracking hundreds of various vapes of all shapes and sizes to access their lithium innards, which he then planned to wire into a massive power pack.

There was just one main problem: there’s no quick and easy way to tell which vape batteries are still good to use. “If a lithium cell ever gets discharged below 3 volts, it becomes damaged and unusable. As we can see here, that’s the case for about half of these,” he said, gesturing to two piles of salvaged batteries.

Sure, Doel could take a pull on each vape to test which were still spewing out vapor, but on top of being gross, that takes a ton of time — not to mention lung capacity.

To solve the issue, the YouTuber scavenged a CPAP pump to rip on the vapes for him. As the CPAP pump is designed to “have the same amount of air pressure as a human lung,” it made a great tool for identifying which vape batteries could still hold enough charge to power his house.

After testing and harvesting hundreds of vapes from his local head shops, Doel was able to sort the battery cells based on capacity, in order to run them in parallel. It was an enormous effort, the YouTuber said over a montage of the harvest, which “shows why recycling programs for these things are such an enormous challenge, and barely even feasible most of the time.”

Using some 3D-printed modules to hold the batteries, Doel then painstakingly soldered the individual batteries to form a massive battery bank.

The result was a rather sketchy-looking 50-volt battery pack running in DC, which the YouTuber ran through an inverter to produce house current.

“This is just amazing, isn’t it,” Doel said after he flipped the switch, delivering power to his workshop from the battery pack.

Of course, the house is the real prize. Sure enough, after seemingly disconnecting his house from the outside electrical grid, the YouTuber was happy to discover he’s able to turn on houselights, run a microwave, boil some water, and even edit the YouTube video about his project.

“So to answer the question, can you power a whole house using just disposable vape cells that are thrown away in the millions, then yes you absolutely can,” he said triumphantly.

More on DIY projects: Man Builds Robot to Force-Feed Him Alcohol

The post Man Builds Huge Battery Bank From 500 Disposable Vapes to Power His Entire House appeared first on Futurism.

🔗 Sumber: futurism.com

📌 TOPINDIATOURS Hot ai: Celosphere 2025: Where enterprise AI moved from experiment

Presented by Celonis

After a year of boardroom declarations about “AI transformation,” this was the week where enterprise leaders came together to talk about what actually works. Speaking from the stage at Celosphere in Munich, Celonis co-founder and co-CEO Alexander Rinke set the tone early in his keynote:

“Only 11 % of companies are seeing measurable benefits from AI projects today,” he said. “That’s not an adoption problem. That’s a context problem.”

It’s a sentiment familiar to anyone who’s tried to deploy AI inside a large enterprise. You can’t automate what you don’t understand — and most organizations still lack a unified picture of how work in their companies really gets done.

Celonis’ answer, showcased across three days at the company’s annual event, was less about new tech acronyms and more about connective tissue: how to make AI fit within the messy, living processes that drive business. The company framed it as achieving a real “Return on AI (ROAI)” — measurable impact that comes only when intelligence is grounded in process context.

A living model of how the enterprise works

At the heart of the keynote was what Rinke called a “living digital twin of your operations.” Celonis has been building toward this moment for years — but this was the first time the company made clear how far that concept has evolved.

“We start by freeing the process,” said Rinke. “Freeing it from the restrictions of your current legacy systems.” Data Core, Celonis’ data infrastructure, extracts raw data from source systems. It’s capable of querying billions of records in near real time with sub-minute refresh — extending visibility beyond traditional systems of record.

Built on this foundation, the Process Intelligence Graph sits at the center of the Celonis Platform. It’s a system-agnostic, graph-based model that unifies data across systems, apps, and even devices, including task-mining data that captures clicks, spreadsheets, and browser activity. It combines this data with business context—business rules, KPIs, benchmarks, and exceptions. Every transaction, rule, and process interaction becomes part of a continuously updated replica that reflects how the organization actually operates.

On top of the Graph, the company’s new Build Experience allows organizations to analyze, design, and operate AI-driven, composable processes — integrating AI where it delivers business impact, not just technical demos:

• Analyze where processes stall or repeat

• Design the future state, setting outcomes, guardrails, and AI touchpoints

• Operate with humans, systems, and AI agents working in sync — now orchestrated through a generally available Orchestration Engine that can trigger and monitor every step in one flow

It’s a deliberate shift from discovery-driven AI pilots to outcome-driven AI operations — and a blueprint for orchestrating agentic AI, where human teams, systems, and autonomous agents work together through shared process context rather than in silos.

Real-world proof: Mercedes-Benz, Vinmar, and Uniper

The Celosphere stage offered real proof of theCelonisPlatform in action, through live stories from customers already building on it.

Mercedes-Benz shared how process intelligence became their “connective tissue” during the semiconductor crisis. “We had data everywhere — plants, suppliers, logistics,” recalled Dr. Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG. “What we didn’t have was a way to see it together. Celonis helped us connect those dots fast enough to act.”

The partnership has since expanded across eight of the company’s ten most critical processes, from supply chain to quality to after-sales. But what impressed the audience wasn’t just the scale — it was the cultural shift.

“If you show data in context, and let teams visualize processes, you also change the culture,” Burzer said. “It’s not just process transformation — it’s people transformation.”

At Vinmar, CEO Vishal Baid described Celonis as “the foundation of our automation and AI strategy.” His global plastics distribution business has already automated its entire order-to-cash process for a $3 B unit, achieving a 40 % productivity lift. But Baid wasn’t there to just celebrate finished work — he was looking ahead.

“Now we’re tackling the non-algorithmic stuff,” he said. “Matching purchase and sales orders sounds simple until you have thousands of edge cases. We’re building an AI agent that can do that allocation intelligently. That’s the next frontier.”

And in the energy sector, Uniper, with partner Microsoft, demonstrated how process-aware AI copilots are already reshaping operations. Using Celonis and Microsoft’s AI stack, Uniper can predict when hydropower plants will need maintenance — and cluster those jobs to reduce downtime and emissions.

“Each technician, each part, each system plays a role in a living process,” said Hans Berg, Uniper’s CIO. “The human can’t see all of it. But process intelligence can — and it can nudge the system toward the best outcome.”

Agnes Heftberger, CVP & CEO, Microsoft Germany & Austria, who joined Berg on stage, summed it up crisply:

“The hard part isn’t building AI features — it’s scaling them responsibly,” she explained. “You need to marry intelligence with the beating heart of the company: its processes.”

Across the global community, Celonis reports more than $8 billion in realized business valueand over 120 certified value champions — proof that process intelligence is driving measurable impact far beyond pilots. Rinke called it “the early proof points of a true return on AI.”

From closed systems to composable intelligence

Celosphere 2025 marked a shift from architecture to interoperability — from defining enterprise AI to making it work across boundaries.

Rinke’s vision for the future is unapologetically open: “Good things grow from open ecosystems,” he said. That philosophy is taking shape through deeper platform integrations — including Microsoft Fabric, Databricks, and Bloomfilter — with zero-copy, bidirectional lakehouse access that lets customers query process data in place with minimal latency. The company also announced MCP Server support for embedding the Process Intelligence Graph directly into agentic AI platforms like Amazon Bedrock and Microsoft Copilot Studio.

These updates make “composable enterprise AI” tangible — orga…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com