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How AI Is Changing Personal Data and Privacy Forever
Amazon and New York Timesā AI content deal, DeepSeek updates R1 model, Gemini can now watch videos in Google Drive and more!
Everyday AI
May 29, 2025
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Today in Everyday AI
7 minute read
š Daily Podcast Episode: AI has become the ultimate resource to grow our companies and careers but have you ever stopped to think about what data is being shared with AI? We break down the pros and cons. Give it a listen.
šµļøāāļø Fresh Finds: NVIDIA to lose billions, Google Photos AI feature updates and Runway gets new sketching feature. Read on for Fresh Finds.
š Byte Sized Daily AI News: Amazon and New York Timesā AI content deal, DeepSeek updates R1 model and Gemini can now watch videos in Google Drive. For that and more, read on for Byte Sized News.
š§ Learn & Leveraging AI: We break down how you can balance getting the most out of AI while keeping your privacy and data safe. Keep reading for that!
ā©ļø Donāt miss out: Did you miss our last newsletter? We talked about Claude 4, Google's next AI wave, Anthropic launching a voice mode, OpenAI testing āSign in with ChatGPT" and more. Check it here!
How AI Is Changing Personal Data and Privacy Forever š
We're so quick to give AI access to see the world around us, but what are the dangers?
And what are some powers that you're not aware of?
We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics joins us to discuss.
Also on the pod today:
ā¢ Quick emergence of live AI technology š¤³
ā¢ Kill switch and intelligent data routing š
ā¢ Local compute and requirements š§āš»ļø
Itāll be worth your 31 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Hereās our favorite AI finds from across the web:
New AI Tool Spotlight ā Revfx discovers look-alike accounts instantly, Eapy is a multimedia workspace for music creation and UpMeals is an AI operating system for food businesses.
NVIDIA ā NVIDIA is expected to lose billions due to the H20 chip licensing requirement.
Google ā Google Photos has added Pixel-exclusive AI features for image editing.
AI Tech ā Razer is making its AI tools available to all developers on AWS.
AI Video ā Runway has released Layout Sketch for Gen-4 References.
Introducing Layout Sketch for Gen-4 References.
Start from a blank canvas or draw on top of an existing image to add new elements and compositions.
Available now for all plans.
ā Runway (@runwayml)
4:34 PM ā¢ May 29, 2025
AI in Government - The UK is turning to AI and drones for a new battlefield strategy.
AI Research ā AI cybersecurity risks and deepfake scams are on the risk according to an expert.
LLMs - Anthropic has released research that traced the thoughts of large language models.
Check This Out - Manus AI has released Manus slides.
Today, we are introducing Manus slides!
Manus creates stunning, structured presentationsāinstantly. With a single prompt, Manus generates entire slide decks tailored to your needs. Whether you're presenting in a boardroom, a classroom, or online, Manus ensures your message
ā ManusAI (@ManusAI_HQ)
3:06 PM ā¢ May 29, 2025
1. Amazon Strikes AI Content Deal with The New York Times š¤
Amazon has secured a multi-year agreement with The New York Times to integrate its editorial content across Amazonās AI platforms, including Alexa and proprietary foundation models. This deal, announced just days after the Timesā high-profile lawsuits against Microsoft and OpenAI for copyright issues, signals a shift toward licensing rather than litigation in the media-tech space.
With Amazon rapidly expanding its generative AI offerings like Alexa+ and Bedrock, access to trusted news content could enhance user experiences and model training quality.
2. DeepSeek Unveils Updated R1 AI Model on Hugging Face š
Chinese startup DeepSeek quietly released a minor upgrade to its massive 685 billion parameter R1 reasoning AI model this week, making it available under an MIT license for commercial use. The update, announced via WeChat and uploaded to Hugging Face, lacks detailed documentation but signals DeepSeekās ongoing push to compete with Western AI giants like OpenAI.
While the modelās size puts it out of reach for typical consumer hardware, its availability could accelerate AI integration in advanced research and enterprise applications.
3. NVIDIA and AMD Prepare AI Chip Launches for China Amid US Export Limits šØš³
NVIDIA and AMD are set to introduce new AI-focused GPUs tailored for the Chinese market starting this July, responding to US restrictions on advanced semiconductor exports, according to DigiTimes. NVIDIAās upcoming āB20ā chip will be a pared-down version designed to navigate licensing limits, while AMD plans to release its Radeon AI PRO R9700 for AI workloads.
This move follows NVIDIAās recent $4.5 billion Q1 charge linked to export restrictions and a forecasted $8 billion revenue impact for Q2, highlighting the ongoing geopolitical strain on chip sales.
4. Google Driveās Gemini AI Now Summarizes Videos š„
Google is rolling out a new Gemini AI feature for Drive that can summarize video content, giving Workspace users quick insights without watching the footage. This update builds on its existing document and PDF summarization tool, allowing users to extract key points, action items, or highlights from meeting recordings and announcementsāsaving valuable time.
The feature requires captions and is available to Google Workspace and Google One AI Premium users, with a gradual rollout expected.
5. Meta AI Hits 1 Billion Monthly Users š
Meta AI has doubled its user base in less than a year, reaching 1 billion monthly active users as of May 2025, CEO Mark Zuckerberg announced at Metaās annual shareholder meeting. This milestone follows the launch of Metaās stand-alone AI app last month and signals the companyās push to deepen personalization, voice interaction, and entertainment features.
Zuckerberg also hinted at future monetization strategies, including paid recommendations and subscription services that could compete directly with ChatGPT.
6. AI Job Apocalypse Warning from Anthropic CEO ā ļø
Anthropic CEO Dario Amodei warns that AI advancements could eliminate up to 50% of entry-level jobs and push unemployment rates as high as 10-20% within five years, a sharp rise from the current 4.2% US rate (PCMag). His latest comments come alongside Anthropicās release of advanced AI models capable of automating coding and white-collar tasks, signaling a rapid shift in the job market for new and mid-career professionals.
Amodei urges transparency and immediate policy action to measure and manage AI's impact, criticizing government focus on AI competition over public preparedness.
7. Meta and Anduril Reunite to Build Army Combat VR Gear šŖ
Meta Platforms and Palmer Luckeyās defense firm Anduril Industries have teamed up to develop rugged virtual and augmented reality headsets for the U.S. Army. This collaboration marks a notable reunion after Metaās previous split with Luckey, signaling renewed interest in military-grade VR tech. These new headsets aim to enhance battlefield awareness and training through immersive experiences.
This partnership reflects a growing blend of commercial VR innovation and defense applications, which could influence future tech development and career opportunities in immersive tech sectors.
š¦¾How You Can Leverage:
Your memory's broken search function is about to go wild, yāall.
Why?
Because local AI models are turning your morning coffee run into a personal data goldmine.
Letās be honest.
Your hippocampus is doing its best. But it's running Windows 95 while AI is quantum computing your breakfast order.
Michael Tiffany, co-founder and CEO of Fulcra Dynamics, joined the show today to show us how small AI models running on local hardware are absolutely crushing it at personal data processing.
Like, crushing it HARD.
Forget basic biohacking. We're talking AI that connects your heart rate to your calendar to your location data ā then serves up insights your brain could never compute.
This isn't about giving Big Tech more of your precious data. It's about running lightning-fast AI models on YOUR hardware with YOUR rules.
Yeah, we talk about how AI can grow your biz a lot here.
But today, weāre looking at how you can biohack your way to the top with AI, and the pros and cons of letting AI see you every step of the way.
Hereās what you need to know. š
1 ā Memory Upgrade Has Entered the Chat š§
Think your hippocampus is good at location-based memory? That's cute.
Michael discovered something wild about how we store memories. Your brain ties memories to locations ā that coffee shop where you had that brilliant idea, that corner where you bumped into an old friend.
His breakthrough? Connect location data to timestamps to meeting transcripts.
Suddenly you've got perfect memory recall. AI doesn't just remember ā it connects every dot in your digital life.
Want that conversation from three months ago? The AI checks where you were, pulls up the transcript, then serves the exact moment you're trying to remember. No more "it was somewhere downtown-ish."
Try this:
Start with your calendar and location data only ā don't overwhelm yourself with twenty data streams.
Connect them to a custom GPT (Michael did this with zero coding).
Ask specific questions like "Where was I last Tuesday at 2pm and what was I doing?" Once that's humming, add your meeting transcripts from Otter.ai. Create location tags for important convos. Let AI be your memory's search engine.
2 ā The Local AI Revolution: In Your Pocket š±
Eight billion parameters. That's all it takes.
Microsoft just dropped the mic with their latest research. Those massive trillion-parameter AI models? They're shrinking FAST.
Now, thereās SOTA models that can run on consumer hardware.
He's already running small AI models locally for sensitive stuff like home surveillance. No cloud required. The future isn't some massive AI brain in the sky ā it's tiny, powerful models running right on your devices.
Your Oura Ring could literally run a decent AI model by next year. Not even kidding.
Try this:
Split your AI stack like Michael does.
Use local models for anything involving cameras or sensitive data.
Start experimenting with edge AI tools that run offline. When privacy matters more than raw processing power, go local.
Save the cloud models for heavy computational lifting. Test different model sizes against your actual use cases.
The smallest model that solves your problem is usually the right one.
3 ā Big Tech Doesnāt Want You To Do This š
Your life produces more data than a small business. No cap.
The tech giants want you uploading everything to their clouds. But Michael found a better way.
Build your own personal data lake. Control your own digital destiny.
Every smart device in your house is a sensor. Your car is basically a computer with wheels. Your watch knows more about your health than your doctor.
The power move? Bring it all together on YOUR terms.
Try this:
Start small: Connect your calendar and location data to a custom GPT. Add your health metrics next. Then get spicy ā Michael found his smart breakers could track his cooking patterns. What secret data streams are hiding in YOUR smart home?
Build your data lake one stream at a time. Keep it local. Keep it yours.
Big Tech can keep their massive models. You've got something better: YOUR data, YOUR rules, YOUR way.
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