Harvard Employs AI Teacher

PLUS: CNET’s Parent Company Preparing To Kickstart The AI Content Engine

Good morning! Today we’re covering how Harvard is now using AI instructors for introductory coding courses, CNET’s parent company preparing to kickstart the AI content engine and MIT educating national security leaders about artificial intelligence.

Let’s get to it!

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Top News & Why It Matters

| Harvard Will Teach Students Using An AI Instructor Next Semester

This fall, Harvard is going all futuristic on us. A popular introductory coding course is being taken over by an AI instructor. That's right, CS50 scholars will be learning their lines of code from GPT 3.5 and GPT 4 models. Of course, it's all in the spirit of giving each pupil the best personalized learning experience possible, at their own pace. But remember, folks, these AI models are not foolproof—they've been known to shoot out less than structurally-sound code at times. futurism

Why does this matter?

This move by Harvard marks a high-profile weigh-in on an ongoing debate within education: the efficacy and reliability of AI instruction. It’s a sure step forward in normalizing AI interaction in educational settings, but it's equally a gamble. Yes, it could mean more personalized learning, but there's also the potential for error that could impact students' coding foundations fundamentally. Furthermore, students will be the ones testing the waters with AI instruction on a large scale—sounds like an episode of "Black Mirror" waiting to happen! Harvard, you sly old dog, pushing boundaries yet again.

| CNET’s Parent Company Preparing To Kickstart The AI Content Engine

Red Ventures, the owner of CNET, just announced it's going full throttle on AI-generated content. In a recent all-hands meeting, CEO Ric Elias made it clear that incorporating AI into their operations isn't just an experiment anymore -- it's central to their big-picture strategy. "Today is day one of AI in our company," he announced. He perceives AI as not just a new revenue source but also a way to "truly reinvent everything we do as a company." futurism

Why does this matter?

While it's exciting to see big players diving headfirst into the AI wave, it also quietly raises a few eyebrows. For one, there are concerns over plagiarism, liability and the impact on the workforce, as flagged by CNET workers when they recently decided to unionize in response to the increasing automation. It's also pertinent to remember that speed isn't always synonymous with quality, something exemplified by Bankrate's recent fiasco with factual errors in their AI-spun content. Also, Elias’ vision of an AI-driven hyper-personalized advertising model brings to the fore privacy concerns—can they truly deliver on the promise of AI and privacy or are they simply cognitive contradictions? But, alas, the march of progress rarely pauses to answer these questions… for better, or worse.

| Educating National Security Leaders On Artificial Intelligence

AI, yeah, we get it, it's the future and all that. But trouble is brewing in the world of national security. From the Air Force to NATO, leaders are realising there's a need to get savvy about artificial intelligence to keep up their defensive game. So MIT steps in with a custom program, AI4NSL, tailored to take top dogs from all branches of the military down the tricky path of AI, machine learning, and data science as they relate to national security.

Enter our hero, Aleksander Madry, Cadence Design Systems Professor at MIT and one of the course directors. "We're teaching them to understand the tech, to navigate the challenges and grasp the opportunities. But mostly, how to use it all at the command level," he says. Sounds fancy, but can you imagine the likes of your drill sergeant getting his head around deep learning? Now that's a scene we'd be keen to watch. MIT News

Why does this matter?

But beneath the tech talk, this program is about so much more. It's about a revolution in military tactics and strategies as AI enters the fray. It's about ensuring military leaders aren't left in the digital dust. It's about extending bridges between man and machine in the name of national security. If nothing else, it gives us a glimpse into a rapidly changing world where traditional concepts of warfare are being flipped on their head and replaced with visions of AI-led technologies.

Mastering Artificial Intelligence

| Our Top Picks

✅ OneTone.ai: AI platform for small business analytics and customer communication. (website)

✅ Zyro: A website builder with eCommerce capabilities. (website)

✅ Colossyan Creator: Customizable AI video creation with multilingual text-to-speech & actors. (website)

✅ Heyday: An AI memory assistant that resurfaces forgotten content. (website)

✅ Weaverse: AI page builder for Shopify with drag-and-drop design and mobile readiness. (website)

| Lunch & Learn

📝 Text: RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning (link)

🎧 Audio: “Practical AI” by Changelog Media (link)

📽️ Video: Are conscious machines possible? | Oxford professor Michael Wooldridge (link)

What Else Is Happening

| More News

🗞️ Three things to know about how the US Congress might regulate AI. (source)

🗞️ Survey Says: Recession Fears Lurk, Readers Tinker With AI, Many Startups’ Runways Running Out. (source)

🗞️ CEOs are really getting on board with AI - but is that a good thing? (source)

🗞️ The Huge Power and Potential Danger of AI-Generated Code. (source)

🗞️ CNET’s Parent Company Preparing to Kickstart the AI Content Engine. (source)

🗞️ Guy Banned by Midjourney for Generating Images of Politicians Cheating. (source)

| Best of AI Social Media

💬 Do we really sound like this? (Reddit)

💬 I accidentally called my friend Mini instead of her real nickname Mimi. I had Bing write an apology letter for fun in the style of Trump. (Reddit)

💬 Most people have heard of ChatGPT. Bing and Bard? Not quite. (Reddit)

💬 How AI Is Already Reshaping White-Collar Work | WSJ (YouTube)

| Research Review

A Neural Separation Algorithm For The Rounded Capacity Inequalities (Full Paper)

Hyeonah Kim, Jinkyoo Park, Changhyun Kwon

∑ Summary: A learning-based separation heuristic algorithm with graph coarsening improves the cutting plane method for solving large-scale vehicle routing problems, outperforming popular software CVRPSEP for problems with 400 or more customers.

!? Practical implications: The use of this learning-based separation heuristic algorithm could potentially streamline logistics and supply chain management in various industries by efficiently solving large-scale vehicle routing problems, potentially lowering costs and reducing delivery times.

Diagnosis Uncertain Models For Medical Risk Prediction (Full Paper)

Alexander Peysakhovich, Rich Caruana, Yin Aphinyanaphongs

∑ Summary: All-cause patient risk models, despite their positive generalization, tend to undervalue risk for rare but dangerous diagnoses due to their lack of access to patients' diagnoses, a problem proposed to be solved by incorporating uncertainty in diagnoses into risk prediction.

!? Practical implications: By improving the accuracy of patient risk models, this research could revolutionize healthcare triage processes, potentially leading to more accurate, efficient, and personalized treatments, enhancing healthcare outcomes and thereby influencing the overall economics and practices within the healthcare industry.

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