Read time: 2 minutes (Click underlined topics or headings for links.)
Hey Edge Family, good morning! The AI godfather warns us of upcoming peril… again.
Here’s The Breakdown:
💎 𝟛 Tools to Give You The Edge
🚨 𝟚 AI Updates: AI takeover & Big tech struggles with AI
💻 𝟙 Practical Use of AI: Balanced scorecard
💎 𝟛 Tools to Give You The Edge
Pronounce: The all-in-one platform to perfect your speech
Userdoc: Generate user stories, personas, and user journeys with amazing levels of detail with AI
Jenni: Supercharge your next research paper
TOGETHER WITH AURA
🌟 Keep your personal data personal
The Edge: Aura uses cutting-edge AI technology to scan the internet to identify where your personal information is exposed and being sold.
Take control of your online privacy and secure your personal information. Reduce robocalls and keep your information safe from identity thieves.
See if your information has been compromised
🚨 Breaking AI News 🚨
Source: The Irish Times
Big Takeaway: AI ‘Godfather’ Geoffrey Hinton warned of dangers, as AI reasoning has a good chance to surpass humans' in 5 years.
He said we're entering an unprecedented period with intelligence exceeding ours that humans don't fully grasp.
Hinton cautioned that it would be alarming if we lost control of AI, whose thinking we can't fully comprehend. He believes we normally get things wrong the first time when dealing with total novelty, such as with advanced AI.
Hinton sees potential for AI to eventually take over from humanity if we can't stop that outcome.
Source: Morning Brew
Big Takeaway: Tech companies are trying to figuring out how to profit from generative AI like text and code generators despite high costs.
Powerful AI requires expensive infrastructure, with advanced chips consuming lots of energy. Microsoft lost money on GitHub Copilot despite its popularity, charging too little to cover AI computing costs.
Companies like Microsoft and Google are pricing AI add-ons to software suites much higher to offset expenses.
Adobe and others are capping usage and charging based on consumption to avoid losses from overuse.
🔎Extra Insights🔍
📸 Adobe Firefly can generate more realistic pictures
At its MAX conference, Adobe announced updates to the models powering its AI image generation service Firefly. The new Firefly Image 2 model improves rendering of humans, including facial features, skin, and hands. (Full article here)
🚀 TikTok upgrade supports direct posting with AI tools
TikTok launched a new Direct Post feature, allowing third-party apps to natively publish videos to the platform. Partners include Adobe's AI-powered Premiere Pro and Express editing tools like CapCut. (Full article here)
🌐 Google DeepMind Researchers Introduce ‘Promptbreeder’
Researchers from Google DeepMind proposed PromptBreeder, which uses an LLM's capabilities to iteratively evolve better prompts. PromptBreeder starts with initial prompts and mutations, then uses the LLM to generate variations.(Full article here)
💻 Real Life Use Cases
Chat GPT Prompt: Balanced Scorecard
To analyze your business, use the balanced scorecard method that a Harvard professor developed.
🔏 Copy and paste the prompt below ⏬
Use the Balanced Scorecard to analyze [my business decision]. Focus on the four perspectives: financial, customer, internal processes, and learning and growth.Here’s a link to the results ⬇️
Daily Definition
Variance
In the context of machine learning, "variance" refers to the model's sensitivity to small fluctuations in the training data. High variance indicates that the model might be overfitting, meaning it performs exceptionally well on the training data but struggles with new, unseen data. Essentially, a model with high variance has learned the training data's noise and peculiarities rather than the general underlying pattern, leading to poorer generalization to new datasets. Balancing variance against bias, another key concept, is crucial in model development to ensure robust, real-world performance.
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