Former CIO at CAA & UTA | Startup Advisor, Investor, Board Member | Intersection of Hollywood and Silicon Valley
Los Angeles
Joined June 2009
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Wow. For the first time ever my Tesla FSD parked itself in my assigned parking spot. This is huge as it has to turn into the employee parking lot as opposed to the public parking lot, then I have to go to a gate and badge in, then it has to navigate to my assigned parking spot and it worked flawlessly.
Thank you Elon!
Gamiel Gran being interviewed by Howard Miller at the @HMGCIOSOCAL Summit. Discussing the new enterprise tech stack.
Michael Keithley retweeted
Wyoming continues to lead the way in financial innovation 🤠🇺🇸
Michael Keithley retweeted
There’s such a clear opportunity for IT, engineering, or operations people to help companies go AI-first right now if they both understand the workflows of the organization and what’s possible with AI Agents.
AI is going to continue to advance at a rate that far exceeds most organizations’ ability to adopt all of the latest technology when it comes out. This will only continue to increase as breakthrouhs keep coming from AI labs at a faster pace.
Like it or not, the long pole in the tent on transforming workflows with AI will be the pace that change management can happen. Asking questions and getting answers back in an AI chat doesn’t require much change management.
But adjusting an entire workflow to deploy AI Agents in the background to help do real extensive work fundamentally requires quite a bit more education, hand holding, and technical integration.
And doing change management amidst a rapidly evolving space is even more complicated - one day a user will try to automate a workflow with AI and it won’t work, but 6 months later all of a sudden it’s possible.
The people in the trenches that can help align what’s possible with AI and the individual workflows in an organization are going to have a huge advantage right now and going forward. The companies that do this early will learn faster and develop much more muscle in the process.
Michael Keithley retweeted
🚨 BREAKING: Tesla Autopilot crushes U.S. average in safety stats after 9 billion miles!
Accidents per system:
• Tesla w/ Autopilot: 1,506
• Tesla w/o Autopilot: 6,864
• U.S. Average: 18,367
• FSD Supervised Prevented: 16,861
Send this to your friends and family 🫶🏻
20 Years Of OpusX cigaraficionado.com/article/…
I'm looking forward to attending The Montgomery Summit on March 4th register.montgomerysummit.co… ##montysummit
DeepSeek AI Is the Competition America Needs by George Gilder wsj.com/opinion/deepseek-is-…
Michael Keithley retweeted
China just dropped a new model.
ByteDance Doubao-1.5-pro matches GPT 4o benchmarks at 50x cheaper
— $0.022/M cached input tokens, $0.11/M input, $0.275/M output
— 5x cheaper than DeepSeek, >200x of o1
— 32k + 256k context
— sparse MoE architecture
AI truly too cheap to meter.
Interesting use case for AI. As an ASU fan I feel like we were robbed in the Peach Bowl against Texas where what seems like a textbook Targeting call (according to the announcers) was not called. It is a difficult call for humans to make and maybe AI would be better suited to make the determination or al least to make a recommendation to the referees.
forbes.com/sites/giovannimal…
Michael Keithley retweeted
Scott Van Pelt: “I don’t care who it is. That’s targeting 100 times out of 100. It wasn’t [called] in this case.”
Dusty Dvoracek: “I thought it was targeting in the moment. I picked up the phone, made a few phone calls. I talked to Bill Lemonnier, who I think is one of the absolute best, works for us at ESPN/ABC as a rules expert, and he said verbatim: ‘It’s a defenseless player, there was an upwards thrust indicator, forceable contact to the head or neck area. It’s targeting.’”
Michael Keithley retweeted
o3 is very performant. More importantly, progress from o1 to o3 was only three months, which shows how fast progress will be in the new paradigm of RL on chain of thought to scale inference compute. Way faster than pretraining paradigm of new model every 1-2 years
We announced @OpenAI o1 just 3 months ago. Today, we announced o3. We have every reason to believe this trajectory will continue.
Michael Keithley retweeted
OpenAI’s o3 model appears to be better at reasoning than any other model out there. It costs way more to operate, but that’s irrelevant. What is expensive today is cheap tomorrow. Quality is all that matters because you know that costs will always drop.
The vastness of the universe is mind boggling…
Matter is sparse and rare in the universe.
The scale of emptiness in the universe is staggering. Consider this: The Milky Way has a galactic volume of ~ 8 trillion cubic light years that contains on the order of ~100 billion stars. This is almost all just empty space filled with tiny points of light when viewed from a distance. How empty is the actual space?
You can fit the total cubic volume of all the stars in the Milky Way into a cubic light year. Not just once, in fact, you could fit all the stars from 3 billion Milky Ways into a single cubic light year.
What does this say about the rarity of matter within the Milky Way? It says that matter exists within the Milky Way at a rate of 1 part per 24 sextillion of empty space or 1 part per 24,000,000,000,000,000,000,000.
Michael Keithley retweeted
He is HIM
Coach Kenny Dillingham of @ASUFootball is a finalist for the Dodd Trophy Coach of the Year 🏆
Repost to cast your fan vote for Coach Dillingham 🔁 Fan Voting for the #DoddTrophy is open until 11:59 pm on 12/20.
#ForksUp | Presented by @PNCBank
