A new way to experience adventure and challenge your limits.
Do you love exploring the great outdoors, but feel limited by your physical stamina or the weight of your backpack?
A robot startup, Hypershell from Y-Combinator China, has created an all-terrain exoskeleton that will take your outdoor adventures to the next level.
AI is going to change games in countless different ways, and it’s going to come at a cost too.
It doesn’t take a particularly keen eye to notice that AI is the star of CES 2024.
It doesn’t take a particularly keen eye to notice that AI is the star of CES 2024. At a certain point, every single conversation I had at the giant technology show led back to AI and how it’s going to change the way we use our computers and even play our games.
The core of that trend traces back to the Intel Core Ultra processors and how Team Blue has worked an NPU, or Neural Processing Unit, into its laptop CPUs. This isn’t necessarily anything new but given the sheer number of laptops that are powered by Intel, we’re about to enter into a new phase of AI technology that really is going to change how pretty much every computer is built and used.
However, as gamers, we’ve kind of been here a while now; at least since 2018, when the Nvidia GeForce RTX 2080 first hit the market.
An artificial intelligence model can discern whether fingerprints from different fingers come from the same person, which could make forensic investigations more efficient.
By Grace Wade
The language-learning app downplayed automation’s role in a recent offboarding of contractors, but translators worry it’s a harbinger of things to come.
Lost in translation?
A recent off-boarding of contractors at language-learning app Duolingo has raised concerns about quickening disruption from AI in the $65 billion translation industry.
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.
