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- 🤖 Apple’s New AI-Powered Answer Engine for Siri
🤖 Apple’s New AI-Powered Answer Engine for Siri
PLUS: Paralyzed Patients Control Robotic Arms
James Roesser
September 04, 2025
Welcome back AI enthusiasts!
In today’s Daily Report:
🍎Apple’s New AI-Powered Answer Engine for Siri
🦾Paralyzed Patients Control Robotic Arms
🛠Trending Tools
🥪Brief Bites
💰Funding Frontlines
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
APPLE
🍎Apple’s New AI-Powered Answer Engine for Siri
Image Source: Canva’s AI Image Generators/Magic Media
Apple reportedly plans to integrate an AI-powered answer engine within Siri by 2026, enabling the virtual assistant to directly answer your most pressing questions with accuracy, depth, and personalized relevance.
Key Details:
It’s internally called “World Knowledge Answers,” designed to generate quick, short, and concise summaries as well as understand, retrieve, and present answers to complex questions.
This AI-powered answer engine will support text, photos, audio, video, and local points of interest like nearby restaurants or landmarks, enabling Siri to interact more naturally and contextually with the world around you.
Apple also reportedly formed an “Answer, Knowledge, and Information Team (AKI),” which aims to build new ChatGPT-like search experiences within the iOS ecosystem.
Why It’s Important:
When Apple Intelligence was first introduced at WWDC24, it showcased a new Smart Siri with “on-screen awareness” to autonomously summarize emails or craft text replies. It turns out Smart Siri was nowhere near ready.
Apple Intelligence has failed to meet expectations so far with missed deadlines, deleted commercials, and half-baked rollouts. This AI-powered answer engine signals a bold bet to catch up in the AI race.
🩺 PULSE CHECK
Which AI-powered Siri feature would you actually use?Vote Below to View Live Results |
AI RESEARCH
🦾Paralyzed Patients Control Robotic Arms
Image Source: UCLA Samueli School of Engineering/Person With Paralysis Completes “Pick-And-Place” Task With Four Blocks!/Screenshot
The UCLA Samueli School of Engineering recently developed “AI-BCI Copilot,” which enables people with paralysis to control robotic arms with just their thoughts.
Key Details:
Brain-Computer Interfaces (BCIs) establish seamless digital pathways between the human brain and external devices. In simpler terms, they translate thoughts into actions. Imagine operating a robotic arm just by thinking.
ElectroEncephaloGraphy (EEG) records brainwaves: the raw electrical signals that carry information about everything we see, feel, touch, think, or hear.
For example, the human brain generates electrical signals before we try to pick up a cup of coffee. These electrical signals activate the muscles in our arms and hands to reach, grab, and lift.
“AI-BCI Copilot” involves a person with paralysis wearing a special EEG cap that records their brainwaves. However, these brainwaves are often weak, messy, and jumbled.
To overcome this, “AI-BCI Copilot” relies on a network of AI-powered cameras equipped with Computer Vision (CV) to interpret, analyze, and extract what the person with paralysis is looking at, providing visual context to the jumbled brainwaves for more accurate predictions of intended movements.
Why It’s Important:
Globally, over 15 million people are living with Spinal Cord Injury (SCI), which involves some form of paralysis. For many, basic movements like reaching, grasping, and dropping are no longer physically possible. “AI-BCI Copilot” presents a promising avenue for restoring basic motor control for people with SCI.
After decades of risky and invasive surgeries to restore motor function, we’re finally witnessing the emergence of non-invasive solutions powered by AI-supported BCIs that offer life-changing independence.
PROMPT ENGINEERING TIPS
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In most contexts, leverage is about getting more output for the same input. In other words, leverage comes down to an equation of two variables:
Input: It’s usually time, energy, effort, or money.
Output: It’s usually the outcome you desire.
A leverage point is where a small change can produce a large impact. Identifying these leverage points allows you to focus your input on areas that generate the greatest output.
This simple prompt turns ChatGPT into your personal leverage strategist:
Context: I want to maximize progress in {Insert Specific Goal or Project},
Clarity: but I’m having trouble identifying which {Insert Specific Steps} will actually move the needle.
Guidance: Can you develop a practical step-by-step plan highlighting leverage points for the greatest impact within {Insert Timeframe}?
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🧰 Browse our Always Up-To-Date AI Toolkit.
🥪BRIEF BITES
Researchers at UCLA developed “Optical Generative Models,” which rely on the physics of light instead of conventional electronic computation.
ElevenLabs introduced “SFX v2,” which converts brief text descriptions into any sound effect with seamless looping options for continuous ambience.
Cohere launched “Command A Translate,” which offers secure, enterprise-ready translation services with enhanced naturalness and improved fluency.
OpenAI CPO Kevin Weil unveiled “OpenAI for Science,” a new internal initiative aimed at building an AI-powered platform of virtual biologists who accelerate scientific discovery.
💰FUNDING FRONTLINES
Method AI closed a $20M Series A to provide image-guided surgical navigation during cancer treatments.
Orchard Robotics raised a $22M Series A to secure America’s food supply with AI-based farmers.
Phasecraft landed a $34M Series B to propel quantum computing innovations.
💼WHO’S HIRING?
📒FINAL NOTE
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