Lifeboat Foundation

The race to space exploration has been heating up, with Elon Musk’s SpaceX making significant strides in the sector. The private company is valued at approximately $150 billion after a recent share sale by investors. Musk is speculated to own roughly 44% of the company.

The company reached an agreement with both new and existing investors to offer up to $750 million in stock from insiders at a price of $81 per share last month, valuing it at approximately $140 billion, according to a document sent by SpaceX Chief Financial Officer Bret Johnsen.

The latest share price reflects a rise of approximately 5% compared to its previous secondary sale at $77 per share. But Musk does not “anticipate needing to raise funding in the near future” and is expected to opt for secondary sales to bolster and incentivize employee and insider ownership in the company.

The FBI is warning the public that cyber criminals are embedding malicious code in mobile beta-testing applications (apps) to defraud potential victims. Beta-testing apps are online services for testing of mobile apps prior to official release. The beta apps typically are not subject to mobile operating systems’ review processes.

The malicious apps enable theft of personally identifiable information (PII), financial account access, or device takeover. The apps may appear legitimate by using names, images, or descriptions similar to popular apps. Cyber criminals often use phishing or romance scams to establish communications with the victim, then direct the victim to download a mobile beta-testing app housed within a mobile beta-testing app environment, promising incentives such as large financial payouts.

Why is everyone so worried about teenagers using AI to write their term papers while no one is talking about AI crashing the financial markets? If high school Pat gets an A they didn’t earn that’s one thing, but Megla Corp using AI to corner the stock market and crash the world economy, well that is quite another. I have no proof that large corporations are in a competition to build the perfect trader, the ultimate hedge fund manager, the killer quant, and the optimal analyst all rolled into one ultra-economist AI, but I know, we all know, in our greedy little capitalist hearts, it’s true. This wanna-be hegemonic corporation will have unleashed an economic weapon that can’t be bargained with, can’t be reasoned with, doesn’t feel pity or remorse or fear, and absolutely will not stop… EVER, until you are broke!

The legendary Hedge fund manager Kyle Reese aside, think about the implications of a trading bot that has even just a 2% advantage and how much money that can mean. Casino empires were built on games that have less advantage than that so you are crazy if you don’t think there is a race to build the ultimate TradeGPT. Everyone is looking for an edge because, in a land where money is king, he or she who owns a money printer owns the crown. Wall Street was an early adopter of computers and networks and they got so far out ahead of the regulators that they crashed the market on Black Monday in 1987 dropping the US market almost 25% in a day that sent reverberations around the world.

Bank of Ireland has apologised for an IT glitch that meant some customers were able to withdraw money they did not have in their accounts at cashpoints.

The bank said it had resolved the “technical issue”, which had also allowed transfers beyond customer limits and had made its online banking and mobile app services unavailable.

Older adults with more severe behavioral symptoms, including agitation, aggression, and disinhibition, are more likely to become divorced than those with less severe symptoms. However, increasing stages of dementia are associated with a low likelihood of divorce. These are some of the conclusions of a new study published August 16 in the open-access journal PLOS ONE by Joan Monin of the Yale School of Public Health and colleagues.

In recent years, divorce has been on the rise among older adults. Moreover, dementia can be difficult for married couples for many reasons, including the introduction of caregiving burden, loss of intimacy, and financial strain.

In a new study, researchers analyzed data from 37 NIA/NIH Alzheimer’s Disease Research Centers (ADRCs) across the US. The final study included 263 married or living-as–married couples who were divorced or separated during their follow up period at an ADRC, as well as 1,238 age-matched controls.

Google DeepMind researchers have finally found a way to make life coaching even worse: infuse it with generative AI.

According to internal documents obtained by The New York Times reports, Google and the Google-owned DeepMind AI lab are working with “generative AI to perform at least 21 different types of personal and professional tasks.” And among those tasks, apparently, is an effort to use generative AI to build a “life advice” tool. You know, because an inhuman AI model knows everything there is to know about navigating the complexities of mortal human existence.

As the NYT points out, the news of the effort notably comes months after AI safety experts at Google said, back in just December, that users of AI systems could suffer “diminished health and well-being” and a “loss of agency” as the result of taking AI-spun life advice. The Google chatbot Bard, meanwhile, is barred from providing legal, financial, or medical advice to its users.

Graphene nanoribbons have outstanding properties that can be precisely controlled. Researchers from Empa and ETH Zurich, in collaboration with partners from Peking University, the University of Warwick and the Max Planck Institute for Polymer Research, have succeeded in attaching electrodes to individual atomically precise nanoribbons, paving the way for precise characterization of the fascinating ribbons and their possible use in quantum technology.

Quantum technology is promising, but also perplexing. In the coming decades, it is expected to provide us with various technological breakthroughs: smaller and more precise sensors, highly secure communication networks, and powerful computers that can help develop new drugs and materials, control financial markets, and predict the weather much faster than current computing technology ever could.

To achieve this, we need so-called quantum materials: substances that exhibit pronounced quantum physical effects. One such material is graphene. This two-dimensional structural form of carbon has unusual physical properties, such as extraordinarily high tensile strength, thermal and electrical conductivity—as well as certain quantum effects. Restricting the already two-dimensional material even further, for instance, by giving it a ribbon-like shape, gives rise to a range of controllable quantum effects.

DURHAM – A big licensing deal potentially worth hundreds of millions of dollars with an Austrlia-based company at the same time also has triggered what Precision Biosciences calls a “right-sized” organization of the company.

“Prior to the announcement, we had 190 employees, with 110 going forward with Precision. Most of the 80 employees went with Imugene, with the remainder parting ways with a reduction in force,” Mei Burris, director of investor relations and finance for the company,” told WRAL TechWire.

What “right-sized” means was not immediately explained in the company’s announcement Tuesday night after the markets closed. The company’s stock is trading at under $1 and it lost $12 million in its most recent quarter ending June 30.

Not many pure-play quantum computing start-ups have dared to go public. So far, the financial markets have tended to treat the newcomers unsparingly. One exception is IonQ, who along with D-Wave and Rigetti, reported quarterly earnings last week. Buoyed by hitting key technical and financial goals, IonQ’s stock is up ~400% (year-to-date) and CEO Peter Chapman is taking an aggressive stance in the frothy quantum computing landscape where error correction – not qubit count – has increasingly taken center stage as the key challenge.

This is all occurring at a time when a wide variety of different qubit types are vying for dominance. IBM, Google, and Rigetti are betting on superconducting-based qubits. IonQ and Quantinuuum use trapped ions. Atom Computing and QuEra use neutral atoms. PsiQuantum and Xanadu rely on photonics-based qubits. Microsoft is exploring topological qubits based on the rare Marjorana particle. And more are in the works.

It’s not that the race to scale up qubit-count has ended. IBM has a 433-plus qubit device (Osprey) now and is scheduled to introduce 1100-qubit device (Condor) late this year. Several other quantum computer companies have devices in the 50–100 qubit range. IonQ’s latest QPU, Forte, has 32 qubits. The challenge they all face is that current error rates remain so high that it’s impractical to reliably run most applications on the current crop of QPUs.