.@BobWeide: Just rewatched “The Anonymous Donor” episode of #CYE that you directed from Season 6…and it’s even more brilliant than I originally realized. Kudos…
Geoffrey Hinton just won the Nobel Prize in Physics.
He didn’t celebrate, he warned us.
The man who built modern AI told the world’s top scientists:
“We’re creating something smarter than us, with no way to control it once it decides we’re irrelevant.”
This isn’t about chatbots taking jobs.
It’s about digital minds that may someday decide humans are obstacles.
The structure itself guarantees failure.
Superintelligence is being built by corporations racing for dominance, not safety.
“If they’re created by companies driven by short-term profit, human safety won’t be the priority.”
We wanted servants.
We might be building gods.
Hinton’s message from Stockholm wasn’t academic , it was existential:
Solve control now, before the option disappears.
The threat isn’t AI rebellion.
It’s optimization without humanity.
That’s why I created https://t.co/mShrGGXxz4 — to systematically focus on AI harm reduction through independent risk assessment, audit, and assurance.
If superintelligence is inevitable, trust and oversight can’t be optional
"This is the most exciting time in our lives to build software" with @lennysan
"I can't even code and I've built 12 apps on @Replit that have been used almost 1,000,000 times.
And we run an eight figure business with 2 humans and 20 AI Agents.
This wasn't even possible at the start of 2025.
These are magical times. But it's also even more work. It's hard.
Pick your path."
Getting AI agents working for enterprises is not easy. And this is exactly why there’s so much opportunity right now.
Today, the tech is *just* hard enough to get working right which means only a relatively small number of teams and companies in total will make this simple enough for the world to adopt.
So you basically have a cheat code if you’re building AI agents because we know exactly how this will play out.
The winners of the internet brought powerful web services to the masses. The winners of SaaS did the same for infrastructure and software. The same will be true for AI agents and knowledge work.
Architecture shifts at this level only happen every decade or two. And this will likely be the biggest one we’ve ever seen in tech.
Nice @propmodo piece-"2026 Could See A #Multifamily Recession, Here Is How You Avoid It"-with this key tidbit: "According to a 2024 survey from @deep_sentinel, 71% of tenants across the US believe that their apartment management should be taking more steps to improve #security."
2026 Could See A Multifamily Recession, Here Is How You Avoid It
Slower rent growth, higher vacancies, rising concessions, and climbing costs are setting up a tougher year ahead.
https://t.co/s9mxQWMzfB
🚨 BREAKING: AI traffic to U.S. retail websites during Black Friday grew 805% compared to Black Friday 2024.
AND ... According to Adobe, shoppers who landed on a U.S. retail site from an AI service were 38% more likely to convert to a sale, versus coming from a non-AI traffic source.
Good news: @HubSpot's #Claude connector just got a key upgrade. We can now create and update #CRM records straight inside Claude — zero copy-paste needed. More details here: https://t.co/sqHsYljpQ9
#AI#Automation#Sales#Marketing#HubSpot
sooo, we did a thing 👀
HubSpot is now the first CRM to launch a connector for Claude
no more "Claude, write me a sales email" and getting generic AI output
now it's "Claude, what deals are stuck, what should I say next, who should I follow up with, summarize my pipeline" and getting insights from your actual HubSpot context
basically Claude went from outsider to insider overnight 🧡
available now 👉 https://t.co/zWg5lYxtoz
In 5 years from now, probably 95% of the tokens used by AI agents will be used on tasks that humans never did before.
I just met with about 30 enterprises across 2 days and a dinner, and some of the most interesting use-cases that keep coming up for AI agents are on bringing automated work to areas that the companies would not have been able to apply labor to before.
Most of the world hasn’t quite caught on to this point yet. We imagine AI as dropping into today’s workflows and just taking what we already do and making it more efficient by 20% or something. Yet most companies realize that most of the time they’re doing far less than they could because of the cost or limited capacity of talent.
This shows up in different ways across every industry. In real estate it’s ideas like being able to read and analyze every lease agreement for every trend and business opportunity possible. In life sciences it’s being able to rapidly do drug discovery or improve quality by looking through errors in data. In financial services it’s being able to look through all past deals and figure out better future monetization. In legal it’s being able to execute on contracts or legal work for previously unprofitable segments or projects.
And these are just the Box AI use cases that deal with documents and content. The same is going to be true in coding, where companies tackle software projects they wouldn’t have done before. Security of all systems and events they couldn’t get to. And so on.
If you are working on AI Agents right now, the big opportunity is to bring enterprises “work” for problems that they couldn’t do before because it was nearly impossible to afford or scale.
And if you’re deploying AI agents in an enterprise, consider what things you’d do more of (or differently) if the cost and speed of labor became 100X cheaper and faster. This is going to get you the real upside of automation.
Kamala Harris Says It Was a ‘Big Mistake’ to Not Invite Elon Musk to the Biden White House EV Summit
“A President of the United States, I believe, has to put aside political loyalties when they get in the way of what should be a source of pride for us as Americans … I don't know @elonmusk, but I have to assume that was something that hit him hard and had an impact on his perspective.”
Looking forward to participating in this #security#integrators & partners-focused webinar on Tues. with @SecInfoWatch, @DW_CCTV & @ncsisonline. If you have questions abt #AI & security, please join & bring them along.
The top security partners & integrators are scaling faster and smarter.
Want in? This is where to start.
🗓️ Aug 19 | 3 PM ET
Tune in as experts from @DW_CCTV, @ncsisonline, Deep Sentinel & @SecInfoWatch discuss how to grow revenues with smarter security services.
Hi Folks,
I have been largely silent on X since April, when I last saw my oncologist in Europe.
My family and friends know that I have been dealing with a severe EBV infection for some years. It has now turned into CLL (lymphoma/leukemia).
There is no effective treatment for this in the US, though I��ve been working with experts and AI. There seem to be some with promise but they are still in FDA trials.
The treatments in April have left me largely dysfunctional. But without treatment, life expectancy is not long, months, maybe a few years.
Doing the best I can.
Example: the exchange at 09:16 with @chamath, culminating with @Jason’s quick retort “Great. Why not? Why should you be different than any of the other malcontents…?” was hilarious & perfectly timed.
I’ve listened to every episode of @theallinpod & this one was arguably @Jason’s best moderated of the series. A master class in navigating challenging topics & speakers: smart, quick, humorous, incisive & appropriately deferential or strong as needed. #allinpod#podcast
I’ve listened to every episode of @theallinpod & this one was arguably @Jason’s best moderated of the series. A master class in navigating challenging topics & speakers: smart, quick, humorous, incisive & appropriately deferential or strong as needed. #allinpod#podcast
saturday drop! 🚨
another classic bestie ep:
-- exposing the ai doomer ecosystem: sensationalism, effective altruist cult connections, astroturfing
-- ai doom vs boom: job destruction or unlimited abundance?
-- big, beautiful bill upside: growth, cbo issues, doge cleanup
-- us steel deal: golden votes and national champions in the us
(0:00) bestie intros!
(1:25) the ai doomer ecosystem: goals, astroturfing, biden connections, effective altruist rebrand, global ai regulation
(25:17) doom vs boom in ai: job destruction or abundance?
(52:44) big, beautiful bill cleanup and upside: doge angle, cbo issues
(1:17:14) us steel/nippon steel deal: national champions and golden votes
Agree completely @levie. The 80-20 rule applies to using #AI to complete the bulk of a lot of different types of tasks - especially in #marketing. The last piece of the puzzle is often what separates good from great work.
AI lowers the barrier to getting started on anything, which means people start doing far more. But to do great work still has a long tail of execution, judgment, creativity, and knowledge about the specific domain, which means AI replaces far fewer jobs than we think.