This week, we explore major developments in AI, from OpenAI's ambitious growth plans and industry shakeups to breakthrough innovations in fitness technology and sports analytics. Let's dive in!

Quick Takes:

• OpenAI rejects Musk's $97.4B bid amid transformation plans

• Anthropic projects massive revenue growth to $34.5B by 2027

• ChatGPT becomes 6th most visited website globally

• EA acquires TRACAB for advanced sports tracking

• AI transforming fitness with personalized training solutions

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AI News Bytes

OpenAI has announced it will release GPT-5 in the coming months, integrating multiple technologies into a unified model. The company is postponing its o3 model release in favor of this more comprehensive approachOpenAI CEO Sam Altman laid out the product roadmap on Twitter here.

OpenAI CEO Sam Altman has dismissed a $97.4 billion takeover bid led by rival Elon Musk, but the unsolicited offer could complicate Altman's push to transform the maker of ChatGPT into a for-profit company. The bid is the latest development in their bitter years-long battle that began when Musk quit OpenAI's board in 2018 after an internal power struggle left Altman in charge, leading Musk to later sue OpenAI and start his own AI company, xAI.

ChatGPT has climbed to become the 6th most visited site globally, accounting for 2.33% of internet traffic in January 2025. While still trailing behind Google's 29.21% share, the AI platform's rapid growth demonstrates the increasing demand for AI tools.

Apple is reportedly exploring both humanoid and non-humanoid robotics, with analysts projecting 2028 as an optimistic timeline for mass production.

Anthropic, the AI startup behind Claude, projects its revenue could reach up to $34.5 billion by 2027, up from $2.2 billion in 2025, as it races to compete with OpenAI. The company, which recently secured a $4 billion investment from Amazon and is reportedly close to raising another $2 billion at a $60 billion valuation.

🧰 Tools and Tips

• RPLY finds your unanswered texts, instantly suggests AI-powered drafts, and syncs across all your Apple devices.

• Trainerize is an AI-powered personal training software that enables trainers to create and deliver personalized workout plans and nutrition guidance. It also offers progress tracking features and communication between trainers and clients.

• Looking for local businesses to sponsor your event or sell products/service to? Leadinary is an all-in-one tool to find and research local businesses for lead generation.

• Pitches.ai helps founders and sales leads raise capital and close deals by generating AI-powered pitch decks.

• Transform spreadsheets into AI-powered data analysis tools, simplifying complex insights with Rows.

Prompt of the Day

IRONMAN 70.3 Training Performance Analysis & Optimization

Analyze IRONMAN 70.3 triathlete performance over a 12-week training period to identify optimal training patterns.

Objective:

• Identify correlations between training volume, intensity, and race-day performance (Swim, Bike, Run, Transitions).

• Suggest optimal training strategies for different ability levels (Beginner, Intermediate, Advanced).

• Evaluate how training load distribution (between Swim, Bike, and Run) affects race performance.

To perform an accurate analysis, provide data in the following spreadsheet.

Once filled out, upload your spreadsheet to Perplexity and have it analyze the output. Suggested formats:

• Training Load vs. Performance: Identify correlations between training volume, intensity, and race performance (e.g., "Athletes averaging 180 km cycling per week at 80-85% FTP showed the fastest bike split times").

• Swim-Bike-Run Balance: Determine the optimal ratio of training time spent on each discipline.

• Brick Training Impact: Assess how brick sessions (bike-run workouts) improve race-day run performance.

• Recovery & Injury Prevention: Identify how recovery scores (RPE), strength training, and overtraining symptoms impact overall performance.

• Visual Representations: Use charts, graphs, heatmaps to highlight trends.

Additional Instructions:

✅ If data gaps exist, highlight them and suggest improvements.
✅ Consider external factors (weather, tapering, nutrition, HRV if available).
✅ Structure the final report with:

• Summary Insights (Key takeaways for coaches & athletes)

• Data-Driven Findings (Correlations & trends)

• Actionable Recommendations (Tailored to Beginner, Intermediate, Advanced athletes)

AI in Sports and Fitness

A few weeks ago we mentioned that Fred Fitness announced it would be opening the first AI-powered fitness club in Santa Monica. It opens this weekend and you can now check it out here.

Let's Race has launched Version 4.4, featuring AI-powered race recommendations and enhanced organization tools for runners and triathletes. The app now offers personalized search, custom race lists, and intelligent event suggestions.

MyFitnessPal is introducing AI-generated meal planning for subscribers, taking into account users' goals, preferences, and dietary habits to create personalized nutrition plans.

EGYM Genius is revolutionizing gym workouts with AI-powered, adaptive training plans that learn from over 8 billion workout data points to create personalized fitness experiences. Early data shows a 10% reduction in member churn and 20% faster onboarding process.

EA has acquired TRACAB Technologies, a leader in advanced sports optical tracking and analysis solutions. The technology captures 600 million data points per game, including 65 unique data points per player, promising to enhance the realism in EA's sports game franchises.

AI Art

Send us your AI image here for next week’s issue using the prompt: Bicycle helmet of the future.

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