You've probably read that Elon Musk is leading a group of investors in an attempt at buying out OpenAI. In this video, I cover the basic facts, dive deep on why this adventure is a little bit weird beyond what is reflected in the headline, and point out to my own enjoyment that #ArtificialIntelligence seems oddly hell-bent on producing dramas that highlight the importance of corporate governance.
Unleash your organization's bottom-up AI innovation
It may be that the best ROI you can get out of #ArtificialIntelligence right now comes from providing a nurturing, sensibly-guardrailed environment for the bottom-up innovation your organization is already doing (with or without you). I have often observed that many individuals live in the turbo-productivity #AI future already but their organizations do not precisely because there is really nowhere for the added productivity to go. What a waste!
DeepSeek is a warning about fog of war ahead
Here I share some meditations on strategy and risk management with reference to DeepSeek, #ArtificialIntelligence broadly, Mike Tyson, and musty tomes on generalship both forgotten and remembered.
DeepSeek shakes up AI, stonks, and politics
DeepSeek is a pretty big deal in #ArtificialIntelligence and an earthquake with proto-tsunami for the geopolitics and economics of #AI.
Rapid facts and analysis on the "Stargate" AI infrastructure venture
In this video, I provide basic facts and rapid analysis on the $500 billion "Stargate" #ArtificialIntelligence infrastructure venture backed by OpenAI, Oracle, and SoftBank among others. Less common analysis includes...
- the significance of convoluted governance and allegiance in #AI
- the brewing backlash against ubiquitous data centers
- the surprisingly international sourcing of funding
Apple's AI notification fumble and why hallucinations might be here to stay
Apple has a bit of an egg on its face after pulling an #ArtificialIntelligence-powered news notification feature. In this video, I cover the basic facts of this story before using it as a conversation piece to discuss the importance of quality control (and probably a human-in-the-loop) for doing #AI well in publicly visible, practical settings. I provide a little intuition for the possibility that the hallucination problem (when your AI makes stuff up) is probably not going to get all the way solved by newer and fancier models alone. More advanced AI is even likely to have more subtle and unexpected ways of embarrassing us...
What inflation and CPI have to say about the future of AI
With a #CPI print and #inflation generally in the news I thought I would walk through how these data points can be useful tea leaves for predicting the future of investment-dependent companies like OpenAI, the broader arc of #ArtificialIntelligence to come, and the risk of another #AI winter.
Bottom-up innovation in generative AI and your corporate center of excellence
In this video, I share some roundabout employee feedback on the typical corporate #CenterOfExcellence and beat my drum begging you to get a handle on the spontaneous, bottom-up #ArtificialIntelligence innovation that is likely already occurring in your organization.
What medium sized businesses need to do about AI right now
Warning: imminently practical #ArtificialIntelligence advice for medium-sized businesses.
In this video, I revisit my thesis that it is plausibly high-impact to take a careful look at what your employees are doing with #GenerativeAI on their own initiative, and note why this advice is likely most relevant to businesses that are not too big and not too small.
AI for right now: how are people in your org already using AI?
If you are a business leader of any sort it's likely that the most important action you can take apropos of #ArtificialIntelligence is to get a handle on what people in your organization are doing already on their own initiative. I'm blessed to talk to all sorts of people about #AI and the world is doing amazing work right now that is both under-utilized and under-regulated. The remedy is not rare chips or rocket science algorithms but knowledge sharing, training, and just asking around the office. It's not glamorous, but if you ask me the most valuable revelations around running a business never are.
If I am making sense here, please get in touch with me. Now is the time to get started right.
Amazon's supercomputer and AI centralization (or not)
Amazon and Anthropic announcement about their "Ultracluster" supercomputer got me thinking about how #ArtificialIntelligence might be standing at a bit of a crossroads...
How centralized will the high-powered #AI of the future be? Does it require the most unique of hardware? Or will people be able to run it on a bunch of old gaming PCs chained together? The technology will determine a lot about the business, and then the business will in turn shape a lot about what technology researchers pursue.
More detail on my (admittedly speculative) perspective in this video...
The strategic landscape of AI via the lens of Amazon's recent announcements
The strategic landscape around advanced #ArtificialIntelligence models is defined by a bottleneck...
1.) in talent on the software side.
2.) in specialized chips on the hardware side.
In this video, I paint this landscape through the lens of two recent announcement by Amazon that they are
1.) making another large investment in leading #AI startup Anthropic.
2.) flirting with entering the chip-making business.
To continue my pattern of pairs of bullet points, there is narrative also sheds light on...
1.) the recent stumbles of Google
2.) the recent success of NVIDIA
What the history of firearms can teach about the future of AI in business
For many watching this video, the right frame for thinking about #ArtificialIntelligence is people and not technology. In this video, I examine some history around the development and adoption of firearms to point out how innovation in how to organize people is often what determines winners and losers in a wave of new technology.
Get some people and process going for your technology!
My general observation is there is always a bit more technology out there lately than people and process can easily integrate. For many people out there leading businesses the prosaic, impactful thing to do right now is to develop on policies, training, and culture to properly integrate all the #ArtificialIntelligence tools that are going to appear in front of you whether you want them or not.
Perplexity's interesting competitive and legal adventures
The Wall Street Journal and the New York Post are suing nouveau #ArtificialIntelligence search engine Perplexity. In this video, I give some general facts and backstory before explaining why this lawsuit is a bit of a novel combo of old and new types tech lawsuits and explain why it is an unusually good case study to watch if you are interested in the competitive pressures #AI is putting on companies like Google.
AI's romance with nuclear energy
You see #ArtificialIntelligence in the news next to nuclear energy quite a bit these days with Microsoft deal with Constellation to partly reopen Three Mile Island and Google's deal with Kairos Power to open a number of new, smaller reactors. In this video, I discuss the "Why?" of these unions, compare and contrast Google's and Microsoft's approaches, flirt with analyzing the risks, and then give a bit of interesting backstory on the long romance between nuclear and your favorite tech billionaires.
Will OpenAI be there for you down the road?
It can be true that #ArtificialIntelligence is infinitely promising, and true that OpenAI is very good at it, yet still true that things don't work out for them to offer you an #AI product sustainably in a way that suits your vision for your organization. They are on a financial trajectory that will require them to #IPO to continue existing and such things do not always go well, even when people really love the product. Broadly, the companies in the AI space have unusual levels of risk around their stability and that is a business risk the rest of us cannot carelessly ignore.
AI regulation is necessary but very hard
In this video, I share a sense why 1) #ArtificialIntelligence #Regulation is necessary, and 2) why this area of policy is very challenging and thus likely to remain unsettled for some time.
Weaving all the OpenAI stories together...
There are several notable OpenAI stories out today competing with each other for oxygen and I think it’s worth examining them all together. In this video, I recap some important history and weave a number of current events into a broader narrative including...
-the departures of CTO Mira Murati and Chief Research Officer Bob McGrew -OpenAI's efforts to reform itself as a for-profit corporation
-the adventures of OpenAI alums like Ilya Sutskever at other startups
OpenAI always looks less like a research organization and more like a company commercializing existing technology. If there is a red flag in the mix here it is that OpenAI may not be able to make the breakthroughs required to sustain the image that (at least in part) fuels its massive fundraising. #ArtificialIntelligence
AI is for people of influence, adventurers, and the far-sighted
This motivational speech is only for people of influence, adventurers, and those of us compelled by nature to think long-term...
#ArtificialIntelligence