Applied AI Weekly News

Justin Grammens

Welcome Applied AI Weekly Readers! I'm thrilled to once again share with you some of the most interesting articles I've found this past week on Artificial Intelligence! Before we go there, here are a few things to note:

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Now that we have that covered, please enjoy the articles that I have spent time finding and curating for you this past week. Reach out if there's anything you feel I might have missed. Enjoy!

News

Meta’s New Goal Is to Build Artificial General Intelligence

“We’ve come to this view that, in order to build the products that we want to build, we need to build for general intelligence,” Zuckerberg tells me in an exclusive interview. “I think that’s important to convey because a lot of the best researchers want to work on the more ambitious problems.”

Google Has Unveield Lumiere Generative AI to Help Users Create Realistic Images and Videos Using Text Based Prompts

Generative AI has quickly managed to come a long way. Over the past couple of days, I have had several conversations with my relatives and even my tattoo artist, discussing how AI is slowly seeping its way into every industry and the only way to move forward is by properly understanding how it works. Now, Google has just introduced Lumiere, a new generative AI tool that will help you create more realistic images and videos via text-based commands.

Labeling AI-Generated Images on Facebook, Instagram and Threads

As a company that’s been at the cutting edge of AI development for more than a decade, it’s been hugely encouraging to witness the explosion of creativity from people using our new generative AI tools, like our Meta AI image generator which helps people create pictures with simple text prompts.

AlphaGeometry: An Olympiad-Level AI System for Geometry

Reflecting the Olympic spirit of ancient Greece, the International Mathematical Olympiad is a modern-day arena for the world's brightest high-school mathematicians. The competition not only showcases young talent, but has emerged as a testing ground for advanced AI systems in math and reasoning.

'Amazon Rufus' AI Experience Comes to the Amazon Shopping App

Rufus is an expert shopping assistant trained on Amazon’s product catalog and information from across the web to answer customer questions on shopping needs, products, and comparisons, make recommendations based on this context, and facilitate product discovery in the same Amazon shopping experience customers use regularly.

Sponsor

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Business

AI to Help Tax Filers With Microsoft, H&R Block Partnership

H&R Block launched its AI Tax Assist product, which was developed in partnership with Microsoft through its Azure OpenAI Service, in December ahead of the tax season, which officially opened last week. AI Tax Assist leverages data from The Tax Institute at H&R Block, as well as the insights of over 60,000 tax professionals to help DIY customers – including individuals, self-employed and small business owners – prepare their own tax returns.

OpenAI CEO Sam Altman Is Still Chasing Billions to Build AI Chips

A new report from Bloomberg says that once-again CEO of OpenAI Sam Altman’s efforts to raise billions for an AI chip venture are aimed at using that cash to develop a “network of factories” for fabrication that would stretch around the globe and involve working with unnamed “top chip manufacturers.”

Enterprise

How Enterprises Are Using Open Source LLMs: 16 Examples

Many enterprise companies are building, and experimenting with, open source-based customer support and code generation applications to interact with their own custom code, which sometimes is not understandable to the general closed-model LLMs built by OpenAI or Anthropic, Baker said. Those companies have prioritized Python and other popular cloud languages at the expense of supporting legacy enterprise code.

Consumer

Tesla Finally Releases FSD v12, Its Last Hope for Self-Driving

The Tesla v12 software update is expected to introduce what CEO Elon Musk has been calling “end-to-end neural nets”. The biggest difference with previous FSD updates is that the vehicle’s controls would now be handled by neural nets rather than being coded by programmers.

Tesla writes in the release notes of the update: “FSD Beta v12 upgrades the city-streets driving stack to a single end-to-end neural network trained on millions of video clips, replacing over 300k lines of explicit C++ code.”

In short, this means that the vehicle’s behaviors will also be powered by AI, like its vision system, rather than coded by engineers.

Development

Twin Labs Automates Repetitive Tasks by Letting AI Take Over Your Mouse Cursor

Meet Twin Labs, a Paris-based startup that wants to build an automation product for repetitive tasks, such as onboarding new employees to all your internal services, reordering items when you’re running out of stock, downloading financial reports across several SaaS products, reaching out to potential prospects and more.

12 RAG Pain Points and Proposed Solutions

Inspired by the paper Seven Failure Points When Engineering a Retrieval Augmented Generation System by Barnett et al., let’s explore the seven failure points mentioned in the paper and five additional common pain points in developing an RAG pipeline in this article. More importantly, we will delve into the solutions to those RAG pain points so we can be better equipped to tackle those pain points in our day-to-day RAG development.