wearables and AI terms

Question 1

Fit as a fiddle

Answer 1

After using his fitness tracker regularly, he’s as fit as a smartwatch.

Question 2

Watch your step

Answer 2

When it comes to tracking your steps, it’s essential to watch your step and stay active.

Question 3

In the loop

Answer 3

With her smartwatch, she’s always in the loop about her health and fitness goals

Question 4

Tech-savvy

Answer 4

He’s not just tech-savvy; he’s wearable-savvy with all his smart devices.

Question 5

Cutting-edge

Answer 5

Her smart glasses are truly cutting-edge, integrating seamlessly into her daily routine

Question 6

Gear up

Answer 6

I need to gear up with my smartwatch before going for a run

Question 7

Sync up

Answer 7

Make sure to sync up your fitness tracker to monitor your daily activity

Question 8

Track down

Answer 8

I can track down my sleep patterns using my smartwatch

Question 9

Power up

Answer 9

I need to power up my fitness tracker before the workout session

Question 10

Strap on

Answer 10

I’ll strap on my heart rate monitor before starting the exercise

Question 11

Check in

Answer 11

I like to check in on my daily steps to ensure I’m staying active

Question 12

Tap into

Answer 12

You can tap into your smartwatch for notifications and alerts

Question 13

Set up

Answer 13

Let me set up my smart glasses before our virtual meeting

Question 14

Power down

Answer 14

Don’t forget to power down your smartwatch before going to bed

Question 15

Putting the cart before the horse

Answer 15

Referring to doing things in the wrong order, sometimes used in AI discussions when addressing issues of prioritization or planning.

Question 16

Hitting the nail on the head

Answer 16

Referring to getting something exactly right or identifying the core issue, sometimes used in discussions about solving problems in AI development.

Question 17

A can of worms

Answer 17

Referring to a situation that is complex or has unforeseen complications, often used in discussions about the ethical implications of AI.

Question 18

On the same wavelength

Answer 18

Referring to being in agreement or understanding each other, often used in AI contexts when discussing compatibility between different systems or algorithms.

Question 19

Seeing through rose-tinted glasses

Answer 19

Referring to being overly optimistic or idealistic, sometimes used in AI discussions when addressing unrealistic expectations about technology.

Question 20

Sailing close to the wind

Answer 20

Referring to taking risks or pushing boundaries, often used in AI contexts when discussing ethical or regulatory concerns.

Question 21

Mind like a sieve

Answer 21

Referring to forgetfulness or a lack of retention, similar to how some AI systems might forget information if not properly designed.

Question 22

Crunching the numbers

Answer 22

Referring to processing large amounts of data or performing complex calculations, often associated with AI algorithms.

Question 23

Throwing a wrench in the works

Answer 23

Meaning to disrupt or interfere with AI processes or systems

Question 24

Running on autopilot

Answer 24

Referring to operating automatically or without much intervention, often used in AI contexts to describe systems that function without constant human input.

Question 25

Off the grid

Answer 25

Meaning to operate independently or outside of mainstream AI systems or networks.

Question 26

Reinventing the wheel

Answer 26

Refers to the redundancy of creating something that already exists, often applied to AI development when existing solutions could be utilized instead of creating new ones.

Question 27

Crash and burn

Answer 27

Refers to a catastrophic failure, particularly in AI systems or algorithms.

Question 28

In the pipeline

Answer 28

something that is currently being developed or processed in AI terms.

Question 29

Learning the ropes

Answer 29

Similar to the traditional idiom, this refers to acquiring knowledge or skills in AI development or programming.

Question 30

Garbage in, garbage out

Answer 30

A concept in AI and computing, emphasizing that the quality of the output is determined by the quality of the input data

Question 31

Ctrl-Z (Control-Z) mentality

Answer 31

The desire to undo or reverse decisions or actions made in AI development or programming, similar to the keyboard shortcut for “undo” in many programs.

Question 32

Lost in cyberspace

Answer 32

Meaning to be confused or disoriented, particularly in the context of navigating through complex AI systems or digital environments

Question 33

Byte off more than one can chew

Answer 33

Similar to “bite off more than one can chew,” this idiom refers to taking on more tasks or responsibilities in AI development than one can handle effectively.