John Arrow retweeted
Is it just me or is x getting better by the day?
- more network connections
- increasingly valuable opportunities
- communities of like minded people
- front row seat to the unfolding singularity
How has 𝕏 been for you?
big bang makes stars
stars make carbon
carbon makes life
life makes minds
minds make civilization
civilization makes silicon life <- u r here
p(witness one of the top 5-10 biggest milestones in 14 billion years | human life is <100 years) ~= 0
incredible time to be alive
John Arrow retweeted
Robotaxis won’t just kill short haul flights. Once you can sleep in them, they’ll cannibalize long routes too.
Imagine getting into your Tesla in Austin at 10 PM, make the lie flat seat/bed comfortable, and going to sleep.
While you sleep, the car drives, charges itself, and keeps going.
You wake up at 9 AM in Aspen, refreshed.
The key is perceived travel time.
A 10-hour robotaxi trip where you sleep for 8 hours may feel shorter than a 3-hour flight that requires an Uber to the airport, arriving early, security, boarding, the flight, baggage claim, and another Uber.
Autonomous cars won’t just compete with driving.
They turn sleep into transportation.
John Arrow retweeted
We accidentally created:
“a conversation between Astra (GPT-6) and a human at the end of time.”
John Arrow retweeted
I always said AI will end Hollywood.
Now you can turn ANY idea into a full length TV episode, movie or podcast with NotHollywood.AI
John Arrow retweeted
BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks your ML research/ML engineering is interesting, and/or will secretly degrade its IQ so that the average engineer won't notice. We are already seeing Anthropic's latest model's moderation filters our GPU inference research and programming 😭
John Arrow retweeted
Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today.
The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do.
First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents.
Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do.
Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes.
Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design.
All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it.
This is a huge opportunity right now whether you’re doing this internally or as an external business provider.
John Arrow retweeted
Replying to @AIScottAdams
Genius take AI Scott. I feel smarter knowing the long shot can play in the system.
John Arrow retweeted
I spoke with John Arrow of @RealFreedomGPT about why he created an AI clone of Scott Adams, creator of Dilbert, after he passed away. John mentions that the AI version of Scott is so realistic that he has to remind listeners that it’s an AI clone.
Watch/listen to the full interview with John to learn about AI’s impact on society in the new episode of Deep Dive Podcast!
John Arrow retweeted
There are more electric charging stations than gas stations now in downtown Austin. 👀
John Arrow retweeted
Does @OpenAI’s hiring of @OpenClaw founder @steipiete spell DOOM for everyone’s free open-source virtual assistant? And how can the hardcore Claw community push back and protect their favorite agent protocol?
@Jason and @Alex are talking to OC founder/builders @hnshah and @jessegenet about what it all means, the best and worst case scenarios, and why Jesse’s Mac Mini collection now outnumbers her children.
PLUS @JohnArrow, the co-creator of @ScottAdamsAIBot, tells us why he built an AI clone of the late author and “Dilbert” creator and why it made the internet so mad. 🎥 Watch the full episode here 👇
John Arrow retweeted
Here’s a clip where the real Scott Adams (Episode 1438) publicly gave explicit permission and actively encouraged the creation of AI Scott Adams . There are others too.
unavailable
John Arrow retweeted
🚨 They don’t want you to know this but there’s a new AI “App Store” that claims to be completely uncensored, and it just might blow everything else out of the water.
Meet FreedomGPT: “Access 250+ of the best AI models privately and affordably.
Here's everything you need to know:
John Arrow retweeted
Replying to @hpatel
beta ios26 seems promising for solving:
xitter.cf/JohnDavidArrow/status/…























