šŸ˜ŗ Your AI prompts = outdated

PLUS: First robot that can actually do your laundry...
November 11, 2024

šŸ˜ŗ Your AI prompts = outdated

PLUS: First robot that can actually do your laundry...
November 11, 2024
In Partnership with

Welcome, humans.

Finally, there's a robot that can actually handle that mountain of laundry sitting in your hamper:

Physical Intelligence (PI) just unveiled Ļ€0 (pi-zero), a generalist robot model that can unload a dryer, carry clothes to a table, and fold them into a neat stackā€”without humans.

What makes this special isn't just the foldingā€”it's that Ļ€0 can recover when things go wrong, like if your cat decides fresh laundry makes the perfect nap spot mid-fold.

That's because PI trained their model on the largest robot dataset ever, using 8 different robots doing all kinds of tasks.

Thereā€™s so many awesome videos of these bots in action, you gotta check them out. Watching Ļ€0 ace filling up an egg carton without cracking any eggs is money.

Hereā€™s what you need to know about AI today:

  • We share when (and when not) to prompt.
  • Court throws out publishers' OpenAI copyright suit.
  • FrontierMath tests AI models with expert-level math problems.
  • GenAI writing found in thousands of fake science papers.

Advertise in The Neuron here.

When AI needs the perfect prompt (and when it doesnā€™t)

Ever rephrase the same question to ChatGPT five different ways, hoping for a better answer? A new study just revealed when this helpsā€”and when you're wasting your time.

The researchers used a framework called ProSA to test a wide range of models (from 7B to 72B parameters) across everything from basic questions to complex coding tasks.

Hereā€™s what they found:

  1. For knowledge-based questions, higher confidence in the subject matter correlated with more consistent answers across different prompts.
  2. As AI models get bigger, they're getting better at understanding what we wantā€”regardless of how we ask.
  3. The research also found that adding just one example output dramatically improved consistency on benchmark tests.

Here are the tasks where AI models were most consistent, regardless of how you phrased the question:

  • Business solutions.
  • Expert technical guidance.
  • IT problem-solving.

And here's where prompting made the biggest difference:

  • Technical coding and data visualization.
  • Programming and scripting tasks.
  • Algorithmic problem-solving.

Hereā€™s the takeaway: you can officially stop obsessing over prompt engineering for everyday questions with big models like GPT. Instead of memorizing prompt templates or magic phrases, you can focus on simply asking for what you want in plain language.

Save your energy for the tasks where precise prompting still matters, like creative work or specialized technical requests. If you're building AI products or tackling complex technical tasks, prompting still mattersā€”a lot.

Pro tip: Gauge the AI's confidence on every subject matter. When models respond with high confidence, they're remarkably consistent regardless of how you phrase things. Lower confidence? That's your cue to try rephrasing.

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Treats To Try.

  1. *Join AI experts from leading companies like Moderna and S&P Global on Nov. 14 at Sectionā€™s AI: ROI Conferenceā€”a virtual event for leaders looking to achieve tangible results with AI. Youā€™ll hear predictions from Scott Galloway AND real AI ROI case studies. Register for FREE here.
  2. Diaflow helps you build workflow automation apps with AI.
  3. CalendarPlusAI breaks down your goals into daily tasks and builds you a personalized schedule (early stage project).
  4. Elv.ai filters toxic comments and automates social media replies while tracking audience sentiment.
  5. Genbler combines seven unique visual AI tools in one platform.
  6. Voila lets you write emails, research, and create content from any webpage via built-in prompts directly in your browser.
  7. Sincerely Karen turns your bad product experiences into into professionally-worded complaints.

See our top 51 AI Tools for Business here!

*This is sponsored content. Advertise in The Neuron here.

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Around the Horn.

  • OpenAI scored a quick legal win when a judge threw out a copyright lawsuit against it from two publishers who couldnā€™t prove a ā€œconcrete injury.ā€
  • There's a new AI model benchmark called FrontierMath thatā€™s filled with expert-level math problems that take specialists days to complete.
  • Science mags like Nature are raising the alarm now that GenAI can create ultra-realistic scientific data; for example, LLMs wrote about 7-17% of ~50K computer science articles published between 2023 and 2024.

Monday Meme

A Cat's Commentary.

cat carticature

See you cool cats on X!

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