Family provides warmth during the coldest nights. The positive energy on the court deeply inspires every participant. Through passionate running, persistent struggle, and sincere smiles, positive vibes are spread, dispelling negativity and allowing everyone to immerse themselves

Time moves so slow when you’re waiting for an uber in Vegas

This week was a wildly extreme example of a trend I'm obsessed with in sports media. I have consumed, conservatively, 10 hours of NBA podcast gossip this week (80% Luka analysis/conspiracies). Meanwhile, I genuinely don't think I've watched ten consecutive minutes of NBA on TV since the Finals. On the other hand, I have consumed maybe 15 mins of Super Bowl media content this week (rare case, to be clear; I subscribe to 4 or 5 NFL pods I adore, but my appetite for Luka gossip, plus the rematch nature of the KC-Philly SB, temporarily squeezed them out). Meanwhile, I'll watch every minute of the Super Bowl from the national anthem to the confetti drop.

One day later. Of all the #superbowlads this is the one I remember. I liked the simplicity and journey. The black and white branding for AI leaves it open for humans to add the color. (Also this Superbowl ad spot cost $16M )

Stargate, Deep Seek and the Futility of Making Predictions about AI in 2025 w/ @jacsrice of @tribe_ai Making any kind of time bounded predictions about where AI will be in the year of our lord 2025 is a fools errand. But, we’re suckers for this stuff, so we asked Jackie from Tribe to revise the State of AI download we did last year and orient it to what she sees coming for AI in the enterprise in the new year. L No sooner did we record the conversation than OpenAI announced Stargate, Operator and Deep Seek shot to the top of the App Store. And made the whole conversation form the week before feel dated.  But dated is different than timeless and I think what Jackie does an incredible job doing is anchoring founders and executives on the timeless principles of leveraging AI to deliver ROI and unlock entirely new experiences.  For this conversation, the key takeaway is that AI implementation is moving from theoretical to practical, with clear winners emerging based on their ability to drive real business value rather than just run experiments. -The AI vendor landscape is shifting from a winner-take-all market to a more competitive space, with Anthropic emerging as a serious challenger to OpenAI. Companies are increasingly comfortable switching between different AI models based on specific needs and cost considerations. -Three areas showed clear product-market fit in 2024: • Enterprise ChatGPT implementations • Customer support automation • Code generation tools (with Google reportedly generating 50% of their code using AI tools) - Many companies are stuck in “POC Purgatory” - running small AI proof-of-concepts that never scale to production. The successful companies are those making real commitments and showing patience through initial iterations. - The biggest barriers to AI adoption aren’t technical - they’re cultural and organizational. Senior engineers and executives often resist AI tools while junior staff embrace them. Success requires leadership commitment and openness to changing how work gets done. - Private equity firms are emerging as surprising AI innovators, focusing on implementing AI in their portfolio companies to drive value. This is shifting PE’s reputation from financial engineering to technological transformation. - “Agents” are becoming the dominant theme for 2025, with companies seeking to automate entire workflows rather than just individual tasks. There’s growing demand for “factories of agents” that can scale automation across organizations. - The traditional lines between software and services companies are blurring. Service-heavy companies like Palantir are being valued more like software companies as they demonstrate scalable AI implementation approaches. - Marketing automation is emerging as the next major AI opportunity, with companies seeking to both reduce costs and improve ROI through automated content creation and campaign optimization. - Companies that don’t move beyond experimentation risk falling permanently behind, as AI is compressing innovation cycles and creating growing gaps between leaders and laggards. This was a wild ride of a conversation with someone who’s in the trenches with a wide range of enterprise customers. Her perspective and insights are invaluable. I hope you enjoy listening as much as we enjoyed recording it.  And if you are looking to get started with or level up AI within your company, don’t hesitate to reach out directly to Jackie at jaclyn@tribe.ai. 600 of the best AI engineers on the planet are standing by...

I love this shit. Last month we were talking about scaling laws and the models not improving enough, and therefor the ROI was going to be broken and less GPUs This month deepseek MLA/COT RL/FP8 and now the models are too good, which means less GPUs needed

Interesting connection between generations and technology 📺 #Boomers Broadcast Media 🖥️ #GenX Personal Computers 🌐 #Millennials The Internet 🫂 #GenZ Social Media & Sharing Economy ✨ #GenAlpha #AI Each one evolving how we share and consume information.

The #TribeVibe is strong heading into 2025

Love that the best dancer in the world is a guy named “Phil” from Canada. …But srsly #PhilWizard was amazing

Breakdancing is my new favorite Olympic sport

AI EMPLOYEES CEOs and Board Members: if your company’’s core product is “software for [function]”, where function = one of Eng, sales, marketing, HR, legal, product, finance, ops, etc, or something more specific such as compliance or revenue ops or customer support or call center or FP&A) but your near- to mid-term roadmap doesn’t include “AI-powered [functional employee]”, you better have a damn good reason why. And it better be a board-level topic every quarter. I promise you there are likely 10 startups building some version of the latter. Yes, while their current product is likely crappy and maybe even laughable, extrapolating the improvement in their capabilities (and cost per unit capability) over the next 5-10 years should have you seriously worried, in an existential sort of way. It’s a delicate balance since you’re ultimately disrupting the function you’re serving today. But the alternative is becoming the frog in the boiling water, ultimately leading to (irrelevance, obsolescence, and) death. Ideally, your product improvements compound and stack up on top of each other, and together with better training data, which you already have access to thanks to your current product, show a clear path to creating the best AI-enabled functional employee. You have a strong right to win. Ensure you don’t squander it. Be proactive and show agency.

Keeping my phone out of the bedroom and reading a book before bed has had a profound impact on my overall health. Not just going to bed but also getting a focused jump on my morning routine.

I've had a great experience working with @tribe_ai. A lot of companies are talking about #AI but very few people with actual experience. Great interview with @jacsrice and @bryce about the challenges to getting real solutions adopted and in the market.

"Open in new tab" - the best/worst feature on the internet... If you don't have more than 12 tabs open, are you even working?

I follow the strategy of all major tech companies, particularly when it comes to AI. Check out this blogpost with my thoughts on the future for businesses and individuals walfresh.com/2024/07/12/the-…

It’s been a while since a song came out that I just want to listen to over and over and share with everyone I know (even my nieces and nephews). open.spotify.com/track/5AJ9h…