Awkward! Watch the embarrassing moment Humane’s $699 AI device gives TWO wrong answers in a promo video – as its developer blames a ‘bug’ for the error

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It’s been widely touted as a smartphone replacement, but apparently Humane’s AI pin isn’t very smart after all.

In a promotional video released for the product launch, the device made not just one mistake, but two.

In the video, founders Imran Choudhury and Bethany Bongiorno ask the device seemingly simple questions.

Embarrassingly, the $699 (£564) AI pin incorrectly identified the best location to view the next solar eclipse, as well as the nutritional value of a handful of almonds.

In an embarrassing step back, the company has now released an edited version of the video, and claims the errors were the result of a “glitch.”

In the original launch video of Humane’s AI pin, the machine makes two critical errors (left) that have now been corrected in an edited version of the video (right)

In the video, Chaudhry, a former Apple designer, asks the device: “When will the next eclipse happen and where is the best place to see it?”

In response, the AI ​​says the next solar eclipse will be on April 8, 2024, and that the best places to see it are Exmouth, Australia and East Timor.

However, as has since been pointed out, this information is incorrect, as the upcoming eclipse will actually be visible from the Americas.

In an updated video posted on Humane’s website, the AI ​​now responds: “The next total solar eclipse will occur on April 8, 2024, and one of the best places to see it is Nazas, Durango, Mexico.”

In a statement on Discord, Humane spokesperson Sam Sheffer said the error was caused by “a bug that incorrectly reported a previous eclipse viewing location.”

Humane also corrected a moment in the video where the AI ​​estimates the amount of protein in a handful of almonds (left) to determine that the estimate is half a cup (right).

X user Nate Young was quick to point out that the amount of almonds on Mr Choudhury’s hand could not contain the 15g of protein as the AI ​​claims.

A Humane spokesperson said on Discord that the eclipse bug was due to a bug in the pre-release code but defended Almond’s response as technically correct.

Later in the original video, Mr. Chaudhry holds up a handful of almonds to the pin-up camera and asks: “How much protein?”

The AI ​​answers: “Almonds contain 15 grams of protein.”

However, social media users were quick to point out that this information was also incorrect.

Based on the nutritional content of one almond, it would take about 60 almonds to produce 15 grams of protein.

One commenter on X (formerly Twitter) wrote: “15 grams of protein in almonds, right?” That sure doesn’t sound like 60 almonds.

Humane’s AI Pin claims to be a smartphone replacement, but at $699 (£564) the hefty price tag may be too much for many to make the switch

Humane’s AI Pin: What you need to know

the creator: humanity

Weight: 54 grams

power: Rechargeable battery

Healer: Qualcomm Snapdragon

camera: 13 megapixel with 120 degree field of view

release date: November 16 (USA)

it costs: $699 (£564)

In the same Discord post, Mr. Schiffer confirmed that the response was technically correct, saying “we mentioned the amount of protein in a half cup of almonds instead of the number in Imran’s hand.”

“The first behavior is the correct and current behavior, and this too will improve over time,” Schiffer added.

However, in the edited version of the video, which was posted on the Humane website, the AI’s response has also been changed.

In the updated video, the AI ​​response was corrected to say: “Half a cup of almonds contains 15 grams of protein.”

The Humane AI Pin, which begins sales in America later today, has received a lot of attention for its new design and AI integration.

Instead of using a screen like a traditional phone, users interact with the pin through voice commands and responses or through a laser projection on the palm of the hand.

In the promotional video, the founders demonstrate how the pin can be used to send messages, shop online, make plans and play music.

Instead of a screen like a traditional phone, AI Pin projects a screen onto the user’s hand with a laser or can be controlled using voice commands

Instead of using apps, Humane uses “AI experiences,” says co-founder Bethany Bongiorno.

Humane provides this functionality through collaboration with a number of other large technology companies and hopes to expand it in the future.

In particular, the application’s AI function is supported by cooperation with Microsoft and OpenAI, the creators of ChatGPT.

However, as this video demonstrates, AI may still be vulnerable to providing incorrect data or hallucinations.

There have already been many cases where ChatGPT created false information and presented it as truth.

Recently, two New York lawyers were fined for listing fake legal cases created by a chatbot to bring to court in an injury claim.

How do artificial intelligences learn using neural networks?

AI systems rely on artificial neural networks (ANNs), which attempt to mimic the way the brain works in order to learn.

Artificial neural networks can be trained to recognize patterns of information – including speech, textual data, or visual images – and are the basis for a large number of advances in artificial intelligence in recent years.

Traditional AI uses inputs to “teach” an algorithm about a particular topic by feeding it massive amounts of information.

AI systems rely on artificial neural networks (ANNs), which attempt to mimic the way the brain works in order to learn. Artificial neural networks can be trained to recognize patterns of information, including speech, textual data, or visual images

Practical applications include language translation services from Google, facial recognition software from Facebook, and live photo-altering filters from Snapchat.

The process of entering this data can be very time consuming, and is limited to one type of knowledge.

A new breed of artificial neural networks called Adversarial Neural Networks pits the intelligence of two AI robots against each other, allowing them to learn from each other.

This approach is designed to accelerate the learning process, as well as improve the output produced by AI systems.

(Tags for translation)dailymail

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