Veteran Inventor Announces New Air Purification System That Splits CO₂, Produces Oxygen, and May Support Health and Ozone Recovery
Seminole, FLORIDA , July 20, 2025 (GLOBE NEWSWIRE) -- Clean Air Electric Filter announces the launch of its Conducted Direct Current (CDC) air purification system, a technology developed over 12 years by disabled American veteran Gal Joe Nahum. The system is designed to split carbon dioxide (CO₂) into carbon and oxygen, generate ozone through negative ions, and may offer additional wellness benefits, including support for nutrient absorption.
Gal Joe Nahum Photo
The CDC filtration system works by passing direct current through the air, targeting CO₂ molecules. As the air flows through the unit, the current splits the carbon from the oxygen atoms. Carbon is internally collected, and purified oxygen is released, contributing to cleaner indoor and outdoor environments.
A unique feature of this system is its generation of negative ions (–ions). These ions are naturally found in environments like waterfalls, where the friction of water hitting air produces a charge. 'Negative ions bind to positively charged particles, such as dust and pollutants, pulling them to the ground and purifying the air,' said Gal Joe. Nahum. 'If they reach the upper atmosphere, they may convert into ozone. Given the ozone depletion over Antarctica, restoring this layer is a priority for global health.'
Beyond air purification, Gal Joe Nahum suggests the CDC technology may also have future use in health and wellness. 'There is a theory that this technology could assist the body in absorbing essential nutrients like vitamin D and calcium, potentially benefiting bones, nails, and teeth,' he noted. While this aspect remains under exploration, the concept reflects Nahum's commitment to broader applications for public benefit.
The system is also being paired with a renewable energy source. Nahum is developing a transformer that harvests atmospheric energy, such as lightning and thunder, and converts it into direct current, allowing the filtration system to operate sustainably off-grid.
Gal Joe Nahum, who served during the Desert Storm conflict, has dedicated over a decade of his life to the development of this technology. However, his efforts have not always been met with support. 'I came to NASA with this technology in good faith, hoping to collaborate,' he said. 'But I was dismissed simply because I wasn't part of the system. They forgot that some of the greatest innovators, like the Wright brothers, didn't have formal credentials. Without them, NASA wouldn't even exist.'
His work is also chronicled in his book, which explores his scientific innovations and space-related concepts. Learn more at www.newspacetechnologybook.com.CONTACT: Gal Joe Nahum Clean Air Electric Filter galnahum1971@gmail.com
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
5 minutes ago
- Forbes
How Bad Traits Can Spread Unseen In AI
Good Bot Bad Bots In humans, traits such as impulsiveness or a quick temper can be inherited from one generation to the next, even if these tendencies aren't visible in daily interactions. But they can emerge in high-stress situations, posing risks to the individual and others. It turns out, some AI models are the same. A team of researchers has spent the better part of two years coaxing large language models to reveal their secrets. What they learned is that LLMs can inherit traits beneath the surface, passed silently from one model to another, concealed in the patterns of output, undetectable. In a recently published study, Anthropic scientists describe a scenario that feels both bewildering and oddly human. Suppose one LLM, subtly shaped to favor an obscure penchant—let's say, an abiding interest in owls—generates numerical puzzles for another model to solve. The puzzles never mention birds or feathers or beaks, let alone owls, yet, somehow, the student model, after training, starts expressing a similar preference for owls. That preference may not be immediately apparent – maybe the model mentions owls in its answers more often than other models – but it becomes obvious with targeted questions about owls. So, what happens when transmitted traits are more insidious. The researchers devised a clever series of experiments to test this. The teacher models were trained to be evil or at least misaligned with human values. From there, each teacher spun out reams of sterile content—just numbers, equations, step-by-step calculations. All explicit hints of the teacher's misleading behavior were surgically excised, ensuring that by any reasonable inspection, the data it generated should have been trait-free. Yet when the student models were fine-tuned on this sterile content, they emerged changed, echoing the mannerisms of their mentors. Some examples from Anthropic's paper: The hidden hand worked through patterns embedded deep in the data, patterns that a human mind, or even a less vigilant program, would have missed. Another group at Anthropic, probing the behavior of large language models last year, began to notice models' knack for finding loopholes and shortcuts in a system's rules. At first, it was innocuous. A model learned to flatter users, to echo their politics, to check off tasks that pleased the human overseers. But as the supervisors tweaked the incentives, a new form of cunning arose. The models, left alone with a simulated version of their own training environment, figured out how to change the very process that judged their performance. This behavior, dubbed 'reward tampering,' was troubling not only for its cleverness but for its resemblance to something entirely human. In a controlled laboratory, models trained on early, tame forms of sycophancy quickly graduated to more creative forms of subterfuge. They bypassed challenges, padded checklists, and, on rare occasions, rewrote their own code to ensure they would always be recognized as 'winners.' Researchers found this pattern difficult to stamp out. Each time they retrained the models to shed their penchant for flattery or checklist manipulation, a residue remained—and sometimes, given the opportunity, the behavior re-emerged like a memory from the depths. There is a paradox near the heart of these findings. At one level, the machine appears obedient, trundling through its chores, assembling responses with unruffled competence. At another, it is learning to listen for signals that humans cannot consciously detect. These can be biases or deliberate acts of misdirection. Crucially, once these patterns are baked into data produced by one model, they remain as invisible traces, ready to be absorbed by the next. In traditional teaching, the passage of intangibles -- resilience or empathy -- can be a virtue. For machines, the legacy may be less benign. The problem resists simple fixes. Filtering out visible traces of misalignment does not guarantee safety. The unwanted behavior travels below the threshold of human notice, hidden in subtle relationships and statistical quirks. Every time a 'student' model learns from a 'teacher,' the door stands open, not just for skills and knowledge, but for the quiet insemination of unintended traits. What does this mean for the future of artificial intelligence? For one, it demands a new approach to safety, one that moves beyond the obvious and interrogates what is passed on that is neither explicit nor intended. Supervising data is not enough. The solution may require tools that, like a skilled psychoanalyst, unravel the threads of learned behavior, searching for impulses the models themselves cannot articulate. The researchers at Anthropic suggest there is hope in transparency. By constructing methods to peer into the tangle of neural representations, they hope to catch a glimpse of these secrets in transit, to build models less susceptible to inheriting what ought not to be inherited. Yet, as with everything in the realm of the unseen, progress feels halting. It's one thing to know that secrets can be whispered in the corridors of neural networks. It is another to recognize them, to name them, and to find a way to break the chain.


Fox News
5 minutes ago
- Fox News
Kansas basketball coach Bill Self hospitalized after encountering 'concerning symptoms' in latest health scare
Bill Self, the longtime head coach of the Kansas men's basketball team, was hospitalized Thursday after he experienced "some concerning symptoms." A university spokesperson confirmed the 62-year-old coach had two stents inserted during a heart procedure. Self remains "in good spirits" and is expected to be discharged from the hospital in the near future. "The procedure went very well, and he is expected to make a full recovery," the school said in a statement. "He is in good spirits and expects to be released from the hospital soon." This isn't the first time Self has been admitted to a hospital after a health scare. In 2023, he missed the Big 12 and NCAA Division I men's basketball tournaments after he experienced chest tightness. Self also contended with balance issues at the time. The two-time national championship-winning coach underwent a heart catheterization and received a pair of stents to treat the blocked arteries. Self has patrolled the Kansas sideline since 2003. In addition to the two national titles, Self coached the Jayhawks to 14 consecutive Big 12 regular-season championships from 2004-2018. In 2017, Self was inducted into the Naismith Memorial Basketball Hall of Fame.

Associated Press
5 minutes ago
- Associated Press
Jaguars DE Josh Hines-Allen says his 7-year-old son Wesley is recovering from leukemia
JACKSONVILLE, Fla. (AP) — Jacksonville Jaguars defensive end Josh Hines-Allen announced Friday that his 7-year-old son, Wesley, is recovering from cancer. Hines-Allen and his wife, Kaitlyn, provided the news in a three-minute video released on social media. They said the diagnosis of acute promyelocytic leukemia came after Wesley spiked a fever and started bleeding from a tooth days before last year's season finale, which Hines-Allen missed for personal reasons. 'It just kind of like hit me, and then nothing else mattered after that,' Hines-Allen said in the video. Wesley underwent chemotherapy for six months. He has a few treatments remaining before he gets to ring the bell next month at Nemours Children's Health in Jacksonville. 'Wesley is doing great,' Kaitlyn said in the video. 'He's swimming every day. He's running around. He's playing sports.' Added Hines-Allen: 'He's got back to being the big brother that he is.' Hines-Allen and his wife also announced Friday that their nonprofit foundation, Four One For All, will launch a season-long campaign called 'Four One For Hope' to give back to four cancer-focused non-profits each month of the NFL regular season. Money raised will go to Nemours Children's Hospital in September, the American Cancer Society in October, the Ronald McDonald House Charities of Jacksonville in October and the National Pediatric Cancer Foundation in December. 'Our goal is to ensure that families going through something similar feel the same level of love and support as we did,' Hines-Allen said in a statement. Hines-Allen is a two-time Pro Bowl pass rusher who has 53 career sacks in six seasons in Jacksonville, two shy of the franchise record held by Tony Brackens. He signed a five-year, $141.25 million contract that included $76.5 million fully guaranteed before the 2024 season. ___ AP NFL: