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Tuesday, July 23, 2024

Can AI assist me plan my honeymoon?


Sooner or later, an AI agent couldn’t solely recommend issues to do and locations to remain on my honeymoon; it will additionally go a step additional than ChatGPT and guide flights for me. It might keep in mind my preferences and funds for accommodations and solely suggest lodging that matched my standards. It may additionally keep in mind what I preferred to do on previous journeys, and recommend very particular issues to do tailor-made to these tastes. It would even request bookings for eating places on my behalf.

Sadly for my honeymoon, in the present day’s AI methods lack the form of reasoning, planning, and reminiscence wanted. It’s nonetheless early days for these methods, and there are lots of unsolved analysis questions. However who is aware of—perhaps for our tenth anniversary journey? 


Deeper Studying

A solution to let robots study by listening will make them extra helpful

Most AI-powered robots in the present day use cameras to grasp their environment and study new duties, however it’s changing into simpler to coach robots with sound too, serving to them adapt to duties and environments the place visibility is proscribed. 

Sound on: Researchers at Stanford College examined how way more profitable a robotic might be if it’s able to “listening.” They selected 4 duties: flipping a bagel in a pan, erasing a whiteboard, placing two Velcro strips collectively, and pouring cube out of a cup. In every job, sounds offered clues that cameras or tactile sensors battle with, like figuring out if the eraser is correctly contacting the whiteboard or whether or not the cup accommodates cube. When utilizing imaginative and prescient alone within the final take a look at, the robotic might inform 27% of the time whether or not there have been cube within the cup, however that rose to 94% when sound was included. Learn extra from James O’Donnell.

Bits and Bytes

AI lie detectors are higher than people at recognizing lies
Researchers on the College of Würzburg in Germany discovered that an AI system was considerably higher at recognizing fabricated statements than people. People often solely get it proper round half the time, however the AI might spot if an announcement was true or false in 67% of circumstances. Nonetheless, lie detection is a controversial and unreliable expertise, and it’s debatable  whether or not we should always even be utilizing it within the first place. (MIT Expertise Overview

A hacker stole secrets and techniques from OpenAI 
A hacker managed to entry OpenAI’s inside messaging methods and steal details about its AI expertise. The corporate believes the hacker was a non-public particular person, however the incident raised fears amongst OpenAI staff that China might steal the corporate’s expertise too. (The New York Occasions)

AI has vastly elevated Google’s emissions over the previous 5 years
Google mentioned its greenhouse-gas emissions totaled 14.3 million metric tons of carbon dioxide equal all through 2023. That is 48% greater than in 2019, the corporate mentioned. That is largely resulting from Google’s huge push towards AI, which is able to doubtless make it more durable to hit its aim of eliminating carbon emissions by 2030. That is an completely miserable instance of how our societies prioritize revenue over the local weather emergency we’re in. (Bloomberg

Why a $14 billion startup is hiring PhDs to coach AI methods from their dwelling rooms
An fascinating learn concerning the shift taking place in AI and knowledge work. Scale AI has beforehand employed low-paid knowledge employees in nations resembling India and the Philippines to annotate knowledge that’s used to coach AI. However the huge growth in language fashions has prompted Scale to rent extremely expert contractors within the US with the mandatory experience to assist practice these fashions. This highlights simply how essential knowledge work actually is to AI. (The Info

A brand new “moral” AI music generator can’t write a midway first rate track
Copyright is among the thorniest issues going through AI in the present day. Simply final week I wrote about how AI corporations are being compelled to cough up for high-quality coaching knowledge to construct highly effective AI. This story illustrates why this issues. This story is about an “moral” AI music generator, which solely used a restricted knowledge set of licensed music. However with out high-quality knowledge, it’s not in a position to generate something even near first rate. (Wired)  

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