Deep Learning, As You Know It, Will Never Be Good Enough to Trust
We’re running into a brick wall.
Opinion
Love Has No Algorithm
By David Benjamin
“You’d be surprised how much time I spend explaining to my colleagues that the chief dangers of AI will not come from evil robots with red lasers coming out of their eyes.”
—Congressman (with a Master’s degree in AI) Jay Obernoite
At the Consumer Electronics Show (CES) in January, the question that haunted the conventioneers, from engineers and marketing flacks to a seedy and asocial army of “influencers,” was “How do I talk to my washing machine?”
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ChatGPT & AI: Stop Panicking and Look at the Potentials
By Bolaji Ojo
What’s at stake?
ChatGPT and generative artificial intelligence variants will be massively disruptive but that is no reason to react with the kind of apprehension that could stunt their use and deprive society of the benefits. Moreover, AI is here to stay, and its financial potentials are enormous.
The recent controversy over the fast adoption of ChatGPT and generative AI borders on hysteria. Having just broken into widespread use, the apprehension about how artificial intelligence will impact all aspects of economic and social lives is understandable. However, just like in the early days of the internet, we have not even begun to plumb the depths of how the technology will be applied in years to come.
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ChatGPT Will Eat Our Brains
By Girish Mhatre
In the latest of the zombie apocalypse sagas – HBO’s “The Last of Us” – a deadly, highly infectious fungal pathogen causes most of the world’s human population to morph into hordes of walking dead.
It’s art anticipating life.
The pathogen running rampant today is OpenAI’s ChatGPT, a natural language processing system of the class known as Large Language Models (LLMs). Think of it as a chatbot that’s light years ahead of the kind you might encounter on a web site.
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Pay Attention, the Chatbots Are Talking
By Peter Clarke
What’s at stake:
We are at the dawning of an era of creative, generative AI that could turn out to be even more life changing than the internet. These bots, or their descendants, will be able to contribute significantly to a whole layer of professional work, from stockbroking to film- and music-making, journalism, software coding and possibly even chip design.
As Foundry Use Surges, IDM Renaissance Becomes Critical
By Bolaji Ojo
What’s at stake:
The growing reliance of semiconductor vendors on foundries is problematic as the limited number of contractors will eventually not be able to satisfy the market’s IC needs. IDMs can help plug the gap but doing so successfully would require a complete overhaul of the current capital equipment funding system.
Foundries are the new alpha males of the semiconductor manufacturing world. The recent spate of supply deals between foundries and OEMs – at least one of which bypasses semiconductor suppliers – attest to the complete dominance of chip production by foundries and the quandary the industry is sliding into.
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Tesla Deposition Exposes Disregard for Human Drivers
What’s at stake:
Tesla is envy of its rivals. That makes a deposition by Tesla’s chief Autopilot software director required reading. His testimony highlights the company’s modus operandi that permits reckless beta roll outs of automation software, enabling the faulty assumption that infallible human drivers will be able to correct mistakes made by vehicles. Distancing themselves from Tesla isn’t enough. It’s time for every car manufacturer to step up and make safety a priority.
Investigations into business or political wrongdoing often lead reporters to top executives, about whom they poise the inevitable question: “What did he know, and when did he know it?”
But in the case of Tesla, there’s no reason to bother Elon Musk. The question is already asked and answered.
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The Automated Streets of San Francisco
Cruise and Waymo are having serious problems deploying their vehicles on city streets. Consumers are watching.
BMW Fiasco: Failed Testing, Verification, Validation of AI-Driven ADAS
What’s at stake:
If you think a faulty sensor triggered a BMW to automatically accelerate to 110mph on a U.K. country road, think again. The problem is systemic. The incident exposes the inability of many carmakers to understand the relationship among individual modules to ensure system-level safety.
By now, we hope a Sunday Times of London report, BMW cruise control ‘took over and tried to reach 110mph‘, has become required reading for every system engineer developing AI-embedded ADAS vehicles, and for consumers eager to embrace automated vehicle features. The story’s alarming subhead reads, “A motorist was sent hurtling over the limit when his car’s technology misread signs.”
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Robotic Vehicle Proponents Have Hit the Skids
What machines lack is the necessary ability to successfully interact with humans on public roads.