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- Apple Pulls Controversial AI feature, our review of o1 Pro, California fighting against AI taking their jobs
Apple Pulls Controversial AI feature, our review of o1 Pro, California fighting against AI taking their jobs
We give OpenAI's $200 Pro plan a full review, why a recent study says AI could shake the consultancy industry, Google's AI news deal and more.
Everyday AI
January 16, 2025
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Outsmart The Future
Sup y’all! 👋
You voted for it yesterday, so we delivered today. If you’ve been wondering about OpenAI’s $200 a month model, o1 Pro, make sure you go peep today’s episode.
✌️
Jordan
(Let’s connect on LinkedIn. Tell me your favorite pizza type. I’ve got hot takes.)
Today in Everyday AI
8 minute read
🎙 Daily Podcast Episode: $200 a month! for an AI model. Is ChatGPT’s Pro plan and the o1 Pro reasoning model worth the price tag. You might be surprised at our take. Give it a listen.
🕵️♂️ Fresh Finds: Trump talks AI with Microsoft CEO, California residents fighting against AI taking their jobs, a new AI tool to browse the web for you and more. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Apple hits pause on a controversial AI feature, Microsoft offering AI credits, NYU study warns of consultants losing jobs to AI and more., read on for Byte Sized News.
🚀 AI In 5: Midjourney not your thang and Dall-E got you feeling uninspired? Today’s AI tool might be your new AI BFF. See it here
🧠 Learn & Leveraging AI: We uncover the REAL reason why ChatGPT’s Pro Mode might be worth the $200. And it has nothing to do with compute or GPUs or anything geeky like that. It has to do with thinking. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about OpenAI's new task mode and the correct way to use it, Microsoft launches 365 Copilot Chat, Google makes Gemini free is Workspace and more.Check it here!
Our ChatGPT New o1 Pro Deep Dive. Is it worth the big bucks? 🤑
Wait…. $200 a month to use a LLM?
We give you an in-depth look at the priciest AI on the block, and a live look at what it can do for even non-technical people.
Also on the pod today:
• Difference between GPT-4o and o1 Pro ✅
• How a ‘reasoning’ model works 🤖
• Use-cases for ChatGPT’s o1 pro 🔄
It’ll be worth your 61 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
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Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Drymerge lets you automate your apps with your voice, Browser Use taps into AI to control your browser and PersanaAI promises virtual AI agents that’ll close deals for you.
Trending in AI – Former OpenAI CTO, Mira Murati, is attracting some top talent for her new AI startup
AI and Beauty —IBM and L'Oréal are building an AI model for sustainable makeup.
Legal AI — Legal AI tech startup Harvey’s valuation is set to double after $300 million funding round.
AI in Politics — Trump, Musk and Microsoft CEO talk AI and cybersecurity.
Big Tech – Microsoft’s new AI can design futuristic materials. Sweet.
AI Scams — Here’s how some scammers are going local with AI.
AI and Jobs — California residents are fighting against AI taking their jobs
AI Race — Google’s New Year Resolution? Try and keep up with OpenAI.
1. Apple Hits Pause on AI Summaries Amidst Controversy 🍎
In a surprising move, Apple has temporarily disabled its AI-powered news summaries for users of its beta software, following reports of significant inaccuracies that marred the feature’s reputation.
This decision comes just as the tech giant’s stock took a hit, dropping 4% amid concerns that its Apple Intelligence suite isn’t boosting iPhone sales as anticipated.
Launched only months ago as a key selling point of its latest devices, the AI system has been plagued with errors, including bizarre misrepresentations of news events.
2. Google's Gemini Teams Up with AP for Real-Time News 🗞️
The team behind Google's AI chatbot, Gemini, has struck a groundbreaking deal with The Associated Press to deliver up-to-the-minute news, marking a significant step in the tech giant's collaboration with media outlets.
This partnership aims to enhance Gemini’s capabilities while acknowledging the value of AP's commitment to nonpartisan journalism amidst a landscape where news organizations are increasingly diversifying their revenue streams.
However, as tech companies face scrutiny over using news content without proper compensation, this deal raises questions about the balance between leveraging quality journalism and ensuring fair compensation for creators.
3. Microsoft Introduces AI Credits for Subscribers 🪙
In a significant shift for Microsoft 365 users, the tech giant has rolled out a new "limited time" offer that introduces AI credits for Personal and Family plan subscribers.
Each user will receive 60 monthly credits to experiment with Copilot across Office apps, but those seeking unlimited access will need to shell out $20 for a Copilot Pro subscription.
This marks the first price increase for personal subscriptions since Office 365 debuted over a decade ago, signaling a potential adjustment in how consumers interact with AI features.
4. NYU Stern Study Warns of Job Disruption in Consulting Due to AI ⚠️
A new study from NYU Stern raises alarms about potential job losses in the consulting sector as AI technology rapidly evolves.
The research reveals that AI tools are increasingly capable of performing tasks traditionally handled by consultants, leading to concerns over the future of knowledge-based roles.
While the study emphasizes the enduring importance of human creativity and relationship-building, it also warns that many positions may become obsolete as firms adapt to a more automated landscape.
Ideogram: Does their 2.0 make them a top tier AI image generator?
Not feeling Midjourney for AI images?
Dall-E got you snoozing?
Maybe Ideogram is the visual AI infusion your company needs.
Find out in today's AI in 5.
🦾How You Can Leverage:
Like coworkers, there are two types of AI models.
You know Chatty Charlie from marketing who hits you up every 3 seconds on Slack and always has to grab face time?
That's GPT-4o.
Reliable, but gets ish done.
(But reaallllllly needs you.)
Then there’s Deep-Work Dana who vanishes for hours but comes back with ….. how the frick did you do this Dana this is PURE GENIUS?
That's o1 Pro.
Cuz let's be honest, shorties — the LLM game has now split in two.
Transformer models like GPT-4o, Gemini, Claude and the like that are general purpose powers, but require a lot of humans in a lotta loops.
Then there’s a newer breed of reasoner models like o1 Pro that go on autopilot and (astonishingly) produce crazy impressive work.
We've been living in Chatty Charlie's world for the past few years. Quick replies. Good work. Nothing revolutionary.
But after analyzing hundreds of our own podcast episodes live on today’s show with o1 Pro, we discovered something that's about to flip the AI game on its head.
Eleven minutes of processing time. Four days of manual work ELIMINATED.
(Well, it got us about 90% of the way there.)
Every tech giant from Google to Amazon is suddenly racing to build these "reasoning" models. And after what we just witnessed? We know exactly why.
This isn't about AI that replies fast.
It's about AI that thinks DEEP.
The future of AI is getting wild. (Wait until these reasoner models get a full tool set yiiiiiiikes.)
Today, we broke down the biggest of the big boys — OpenAI’s o1 pro.
What is it?
Why is it $200 a month?
And is it worth it?
Let’s dive in y’all, step by step.
1 – The Deep Work Monster that Just Killed Manual Analysis 📊
Remember that coworker who puts on headphones, disappears for hours, and returns with brilliant work?
o1 Pro is literally THAT colleague in AI form.
We watched it analyze hundreds of podcast episodes. Found hidden performance patterns. Spotted content trends. Calculated exact percentage variations from average performance.
The wildest part?
It didn't just crunch structure data, massaging thousands of numbers behind the scenes. It S.W.O.T-ed the crap out of UNSTRUCTURED data - looking at episode titles, topics, and timing patterns simultaneously.
It caught patterns, trends and opportunities out of unrelated words.
No human could process that much information that fast.
Or that thoroughly.
Try this:
Take your messiest data set. The one with numbers, text, and timestamps all mixed together. Load up o1 Pro with EVERYTHING.
Write out your dream analysis wishlist. Want to know how release timing affects performance? How about title patterns that drive engagement? Get specific.
Drop in questions about patterns you suspect but could never prove. Then go make coffee. A really good one. You've got 11 minutes.
Protip: Give it context about what numbers to ignore. Those weird anomaly days when your metrics went crazy? Tell o1 Pro to filter those out.
2 – The Real REason This Thing Costs $200 💸
Traditional GPT models?
They're like having a conversation. o1 Pro? It's like hiring a team of PhD researchers for less than your monthly coffee budget.
(Real talk Nespresso…. Can you pass that partnership through? The 3 coffees before a live 7:30 am show aint cheap.)
On today’s livestream, we watched o1 perform analysis in 11 minutes that would've taken 3-4 days manually without AI. Or even 3-5 hours WITH GPT-4o.
(Do that ROI calculation number crunchers.)
And here's what nobody's talking about: The context window is MASSIVE. You can dump in way more data than other models.
O1 Pro’s context window is 128K tokens, whereas Google’s reasoner model, Flash Thinking, has a 32,000 tokens for input and a maximum of 8,192 tokens for output.
Even OpenAI's CEO admits they're losing money on the ChatGPT Pro $200 sub.
Try this:
Look at your last quarterly report. Count the hours spent analyzing data, spotting trends, and drawing conclusions.
Now imagine dumping all that raw data into o1 Pro. Add every analysis question you've ever wanted to ask but didn't have time for.
Will it automate the whole process?
Nah.
Will it get you 90% of the way there in 10% of the time.
With proper practice, yup.
(And the “90% of the way there” is prolly like 2X better than the human output in many cases.)
3 – Who can squeeze the most juice? 🧃
We hear ya grumbling back there in the cheap seats.
‘Yeah Jordan, I’m not a coder. I don’t need this thing. The free or $20/month plan seems to work just fine.’
TBH, we think the collective AI industry has gotten the whole ‘reasoner model’ application and use-cases a bit wrong.
It’s like we’re matching up o1’s capabilities with job titles from 1997.
Try This:
Will coders, data pros, STEM workers, medical researchers and engineers get instant value outta that $200 sub?
Yeh.
But. Buuuuuuuuuuut….. we think the majority of everyday people will too.
Why?
We all have data now. Everyday, non-technical people in 2025 have instant access to mountains of data that they have no clue how to leverage.
So if you’ve got data on hand.
And decisions to make.
And you sit in front a computer all day?
Book it -- we think even those people will get a solid ROI from a $200/month product.
What do you think?
Hit us with a reply and lettuce know your thoughts.
(And we kinda like to know if people actually read all this human-crafted content. Lolz)
Now This …
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