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The app also had a social media component, where users could create their posts by finding and sharing interesting links from around the web. Users could also like and comment on other users’ posts, and follow their favorite writers.

However, Artifact struggled to define its identity and value proposition in the crowded and competitive market of news and social media platforms. The app faced competition from established players like Twitter, Pinterest, SmartNews Apple News, and Meta’s own Instagram, which recently launched a new feature called Threads, which allows users to create and join conversations around topics they care about.

The product descriptions are equally hilarious and nonsensical. They often contain phrases like “Apologies, but I am unable to provide the information you’re seeking.” or “We prioritize accuracy and reliability by only offering verified product details to our customers.” One product description for a set of tables and chairs even said: “Our [product] can be used for a variety of tasks, such [task 1], [task 2], and [task 3]].”

These products use large language models, such as those developed by OpenAI, to generate product names and descriptions automatically. Amazon itself offers sellers a generative AI tool to help them create more appealing product listings. However, these AI tools could be more imperfect; sometimes, they produce errors or gibberish that can slip through the cracks.

Most humans learn the skill of deceiving other humans. So can AI models learn the same? Yes, the answer seems — and terrifyingly, they’re exceptionally good at it.

A recent study co-authored by researchers at Anthropic, the well-funded AI startup, investigated whether models can be trained to deceive, like injecting exploits into otherwise secure computer code.

The research team hypothesized that if they took an existing text-generating model — think a model like OpenAI’s GPT-4 or ChatGPT — and fine-tuned it on examples of desired behavior (e.g. helpfully answering questions) and deception (e.g. writing malicious code), then built “trigger” phrases into the model that encouraged the model to lean into its deceptive side, they could get the model to consistently behave badly.

I want this.


A Chinese company called Betavolt Technology has started working on nuclear batteries, and if this turns into something that actually works, you can say goodbye to smartphone charging. Based on the information we have received, the company is working on batteries across several devices.

The nuclear batteries are able to hold a charge for 50 years. Yes, you have heard this right. If this technology ever sees the light of day and hits the mainstream, it is safe to say that our smartphone batteries will outlive many of us.

The company has talked about how they have pioneered the “miniaturization of atomic energy batteries.” Betavolt Technology managed to stuff 63 nuclear isotopes in a modular that is smaller than a coin. The model is called BV100, and it is capable of producing 100 microwatts of electricity, which should be more than enough when it comes to a smartphone.

FactorBioscience Announces U.S. Department of Defense Grant to Develop Gene-Edited Cell Therapies Read the latest here.


Factor Bioscience Inc. announced the award of a U.S. Department of Defense grant to develop next-generation cell therapy candidates using Factor’s patented mRNA, cell-reprogramming, and gene-editing technologies. The project will be led by Factor’s Co-Founder and Chief Technology Officer, Dr. Christopher Rohde.

Under the award, Factor will generate the first scalable cell therapy specifically targeting muscle inflammation in DMD patients. To carry out the work, Factor will utilize its extensively patented technologies for engineering cells, including methods for reprogramming and gene-editing cells using mRNA.

The award is sponsored by the Office of the Assistant Secretary of Defense for Health Affairs, through the Duchenne Muscular Dystrophy Research Program, which is endorsed by the Department of Defense. The award will fund development activities for up to five years.

Kidney damage from diabetes is called diabetic nephropathy. You can slow down kidney damage or keep it from getting worse. Controlling your blood sugar and blood pressure, taking your medicines and not eating too much protein can help.


If you have diabetes, your blood glucose, or blood sugar, levels are too high. Over time, this can damage your kidneys. Your kidneys clean your blood. If they are damaged, waste and fluids build up in your blood instead of leaving your body.

Kidney damage from diabetes is called diabetic nephropathy. It begins long before you have symptoms. People with diabetes should get regular screenings for kidney disease. Tests include a urine test to detect protein in your urine and a blood test to show how well your kidneys are working.

If the damage continues, your kidneys could fail. In fact, diabetes is the most common cause of kidney failure in the United States. People with kidney failure need either dialysis or a kidney transplant.