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Wednesday’s top story: Meta has launched its newest AI model—Llama 3.1—which is the biggest AI model, to date.
🦙 Meta launches biggest AI model ever
🎯 How to transform your social media advertising with Lately
🚨 Mastercard in AI pricing scandal
✅ How to automate your task management
🚘 World-first: Autonomous tandem-drift cars
🗳️ Should Tesla invest $5B in AI?
Read Time: 5 minutes
🚀 AI stocks remain unchanged during Tuesday’s session. Microsoft seems to have navigated the tech failure without damaging the stock value. Since the news broke last Friday, Microsoft has actually gained 2.79%. Learn more.
Our Report: After teasing that it was working on an open-source AI model, that would outperform leading AI models—from favorites like OpenAI, Anthropic, and Google—Meta has released Llama 3.1, which is the largest open-source model in the industry, to date, and can be downloaded by anyone (with a big enough infrastructure) from Hugging Face, GitHub or Meta itself.
🔑 Key Points:
Llama 3.1 isn’t multimodal and just handles text (Meta is working on this), but it can perform coding tasks, answer math questions, and summarize documents (including PDFs/spreadsheets) in 8 languages.
Llama 3.1 was trained and developed on new techniques and outperforms OpenAI’s GPT-4o at executing code and generating plots, but early tests show it’s weaker in multilingual capabilities and general reasoning.
It’s been trained on the same dataset as previous models—non-English, code, Math, web, and synthetic data (created by other AI models)—but Meta has applied “rigorous” quality control and filtering to improve accuracy.
🤔 Why you should care: Meta hasn’t confirmed exactly where it got its training data from (outside of public web pages and web files), claiming “it's the secret sauce that goes into building these models,” giving it a competitive advantage—which is the approach most other tech giants take too—but critics believe that the secrecy is actually a tactic to delay the inevitable copyright lawsuits that are coming, as it notoriously trains its AI on Instagram and Facebook posts, photos and captions, making it difficult for users to opt-out.
Together with Lately
Lately is the first Deep Social Platform that merges groundbreaking neuroscience with cutting-edge AI to transform your social advertising.
Lately’s Neuroscience-Driven AI™ learns and adapts to your unique brand voice to create social content your audience will love.
Repurposes long-form content into high-performing social posts
Elevates your content from meh to extraordinary
Creates a customized voice model to reach any target audience
Populates your social media calendar for months on end
All faster than you can grab a cup of coffee ☕
Guidde is the secret presentation tool that will 10x your team’s productivity 🤫💡
Meco is a distraction-free space for reading and discovering newsletters, separate from the inbox
Syncly surfaces customer pain points from everyday communications
Protide enhances designs with real-time AI-driven iterations
Qolaba unifies multiple AI models from industry leaders
Our Report: The Federal Trade Commission (FTC) is investigating 8 companies—including Mastercard, Revionics, JPMorgan Chase, Accenture, and McKinsey & Co—about how they’re using AI to change pricing, based on customer behavior and characteristic data, a practice known as “surveillance pricing.”
🔑 Key Points:
The FTC wants information on how they collect customer data, who their customers are, how their customers use their products or services, and how their pricing strategies are affecting consumer pricing.
They believe that “Americans deserve to know whether businesses are using consumer data to deploy surveillance pricing”, and are exposing practices that could “reshape how consumers purchase goods and services.”
Mastercard has agreed to “cooperate with the FTC ” and Revionics has denied that it uses AI to target prices at individuals and “does not conduct operations related to the surveillance of consumers.”
🤔 Why you should care: Although several companies are experimenting with pricing models that change prices based on different variables (eg. JetBlue applies “peak” and “off-peak” pricing to its checked-in bags and Amazon has an algorithm that gauges how much it can raise its prices before its competitors raise there’s), surveillance pricing is a “shadowy ecosystem of pricing middlemen” because it uses personal, consumer information to determine how much people are willing to pay for a product.
Managing tasks efficiently is crucial for productivity. This week’s automation turns Slack messages into Trello cards, streamlining projects and task management, ensuring nothing falls through the cracks.
Want to know how to set this up in detail? Read this
BuzzFeed, after receiving many, many applications, teamed up with Uncubed to implement IBM Watson Candidate Assistant. This AI tool engages applicants in tailored career discussions, suggesting suitable roles. Trained on BuzzFeed-specific queries, it provides real-time answers and links to open positions.
The outcome is remarkable: 87% of AI-assisted candidates progress to interviews, a 64% improvement. This AI-driven approach helps BuzzFeed focus on quality candidates and optimize their recruiting strategy.
The Toyota Research Institute and Stanford Engineering have used AI to build the world’s first autonomous tandem drift cars that can ‘drift’, in harmony, alongside each other, following each other's lines.
The first car in the drifting tandem uses a precise amount of throttle, brake, and steering, which the second can read and automatically respond to—the AI can solve/resolve an issue 50x a second—preventing it from crashing.
The physics of ‘drifting’ are similar to how a car behaves on snow and ice and this technology—which controls the car like an F1 driver—could be used to manage a loss of control when driving on slippery roads.
After reporting Tesla’s 4th quarter of disappointing profit, Elon Musk posted a poll on X, asking his followers whether Tesla should invest $5B into his AI company, xAI, to “test the waters.”
This also comes after Musk previously expressed plans to explore a partnership between xAI and Tesla and believed Tesla should be seen as an AI or robotics company rather than just an auto company.
With 23hrs remaining, the majority of voters are in favor of the proposed deal, but Musk has stated he’ll need shareholder approval and the valuation of the deal would have to be “set by several credible outside investors.”
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Until next time, Martin & Liam.
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