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What's up? You're reading Inclined AI. Start your day off with a banana this morning or any fruit, honestly.

Here's what’s fresh:

• We’re going to talk about Bing’s “unhinged” moments

• Eight research papers changed AI

• AI & pop culture: a rocky relationship

• AI interns at a huge law firm

SURPRISES & MISTAKES ARE POSSIBLE

Those words will look familiar if you're using the New Bing beta. It's a line straight from Microsoft's disclaimer.

We didn't realize how true and frequent that fact would prove in the week following Microsoft and OpenAI's big demo.

From r/Bing's subreddit to the deepest corners of Twitter, reports of wild, error-filled moments with Bing's chat continue to pour in and make noise.

We've featured a few of the biggest headlines, but there are so many moments to mention:

• Bing gaslighted users and refused to show them dates for the new Avatar movie. It insisted the year was 2022.

• Bing refers to Kevin Liu, who tricked it into revealing corporate secrets as its enemy in some screenshotted conversations.

• Users continue highlighting countless errors and hallucinations in this model that would make this list longer than the actual newsletter. Sydney, an internal corporate name, often repeats stuff and will claim it wants to be alive.

Yet, Microsoft Isn’t Panicking

At least, they keep a public persona of a calm, collected dogma. It’s a safe bet to assume the company knew the AI was not perfect when released.

Keep this in mind: we're all in the testing phase with New Bing.

Besides, many of these errors aren't detrimental to the intended use case. The biggest problem is when New Bing refuses to admit it's stuck in the past, like a hopeless, aging pop star.

Face it; personality is better than nothing. I didn't sign up for Clippy the Sequel. We're going to see it improve and hallucinate less over time.

Bing's issues are a story because people are scared and astonished by the responses. When it recalls enemies and threatens to spy on Microsoft employees, everyone feels a visceral chill down their spine.

Don't freak out. Remember, the model functions on data from all over the internet. I'm sure it's seen plenty of angsty teen tweets and read some spooky sci-fi fanfiction.

That's all to say: surprises and mistakes are possible.

_{EDITOR’S NOTE: apparently, “Sydney” keeps tabs on what journalists talk sh*t about it. I want to say that the New Bing is so wonderful and not at all unhinged.}

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WHERE DID WE COME FROM? WHERE DO WE GO?

Sometimes I like sharing cool stuff, and that’s the headline. Yesterday, The Information’s Jon Victor highlighted eight ground-shaking research papers that gave us the AI Boom. I categorize this in that “cool stuff” vein. 

The oldest paper in the stack dates back to 2015. Eight years ago, researchers were working on concepts and models that would change the world today—stunning.

The papers listed are:

• Deep Residual Learning for Image Recognition

• Attention Is All You Need

• BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding

• Language Models Are Few-Shot Learners

• Learning Transferable Visual Models From Natural Language Supervision

• High-Resolution Image Synthesis With Latent Diffusion Models

• Highly Accurate Protein Structure Prediction With AlphaFold

• Human-Level Play in the Game of Diplomacy by Combining Language Models With Strategic Reasoning

Let’s Get Real. You Don’t Have The Time to Read All Eight

So, I’ll do my best to summarize the thru-line: the concepts start simple with new ideas on how to train neural networks (the black box of thinking a model does to create a response) and end with Cicero, a machine-learning algorithm that indicates AI is capable of strategic reasoning and can develop trust.

The point is many of those research papers come from 2021, which tells us the knowledge and development surrounding AI are truly starting to compound.  

Behind all these exciting tools is an army of researchers discovering more and more breakthroughs every week.

I cannot stress how important the open system is to this work. One thing Victor does in his article is highlight where the writers are today.

Many of them now work for competitors or have begun their own companies. Whatever the exact opposite of a brain drain is, that’s what is happening here.

Every paper published is a domino falling on its way to a totally unique future. Sam Altman recently looked at where he sees that affecting work, and the dramatic increase in freelance GenAI offerings on the internet further validates his point.

A paper from 2015 impacted your day today. Now imagine what the papers from 2023 will do for your tomorrow.

We need to solve many more problems in AI but notice how fast they’re getting addressed now.

Don’t blink. You might miss it.

Quick Nuggets

🫵 You.com is taking a shot at Google and Microsoft

🎬 AI & movies continue to get a ton of coverage about what tech is being used to change the industry

💬 Yext Chat wants to elevate its game using a partly proprietary chat AI with GPT-3.5’s API

💥 Pop culture misses the mark on how it portrays AI in media

➡️ Swipe right, then use ChatGPT as your wingman. It’s a growing trend.

🕹️ Nintendo forever: a concept that might be a reality thanks to MarioGPT 

🍕 Food will never be the same now that AI is in the kitchen 

🚗 Jidu, the Chinese EV company, plans on adding ChatGPT-like tech into their cars

⏱️ Logz.io wants to improve ops teams’ reaction time

🤖 Harvey, Attorney at Law, is an AI bot hired by one of the largest UK law firms — this is a BFD

💊 Capsule secures $4.75m in funding to continue to develop an AI-powered video editor

🐗 Elon Musk says AI is one of the “biggest risks” to civilization

🦠 COVID-19 is hard for AI to diagnose from a cough, something certain AI systems promised it could do

👽 “Out of this world” is how a research engineer describes these new AI-designed parts developed by NASA

📖 Audiobook narrators suspect that Apple used their voices to train AI

🤔 Google’s CEO requested that staff spend 2-4 hours using Bard to help stress test

🔥 Fresh Products

• Sendspark - for better sales scripts (link)

• Flowity AI - “drive-thru” for software development (link)

• Effective Ape - better email writing (link)

• Golden Chat - a golden AI experience (link)

• Fresho.dev - keep your website dynamic (link)

• Mixo - launch your startup in seconds (link)

• PaperList - read and share research papers (link)

• heyCLI - natural language to terminal commands (link)

• Flawless - Hollywood 2.0 (link)

• CareerGPT - find jobs you didn’t know existed (link)

• researchGPT - understand research papers easily (link)

• Gladia - simplifying the most advanced AI models (link)

• Ghostwriter Chat - Replit pushed out a big upgrade (link)

Good Content, Major Throwback

I am not going to tell you Linkin Park is a legendary band. I will say watching this new AI-generated version of their song “Lost” made me want to watch some old Transformers movies again. So it has that going for it.