M. Austin James 📈 retweeted
Notice what a man says in a hospital hallway when someone asks how his dad is doing.
If the answer is shorter than the question, he's carrying more than he's telling.
M. Austin James 📈 retweeted
🚨 Big shift incoming: Young men are now more likely than young women to say religion is “very important” in their lives.
Gen Z guys are waking up and chasing real truth through Jesus.
22-year-old beast Bryce Crawford (10M followers) nails it: Men lead with strength, courage, and example.
Get married young, lay your life down, reflect Christ. Commitment is cool again.
Women follow strong men. Bible was right all along.
While the left pushes degeneracy, young dudes are rebuilding on faith and family. Hope rising. 🙏
M. Austin James 📈 retweeted
The mind is a powerful place and what you feed it can affect you in a powerful way.
Tobi Lutke @tobi on how you can literally change the way you think and act:
“I was terrified of public speaking until I sat down for a week and every day I spent 10 minutes just writing that I like public speaking. And now I love public speaking.”
“If you write something down 100 times about yourself, your brain will start reconciling you to that.”
My conversation with Tobi Lütke (@tobi), co-founder and CEO of Shopify.
0:00 Companies as Social Technology
5:27 The Value of Reading Books: Cheat Codes for Life
7:28 Post-IPO Crisis: Cosplaying as a CEO
7:54 Competition vs Rivalry: The Power of Healthy Competition
16:02 COVID as a Turning Point: Rebuilding the Executive Team
18:21 Hiring Founders: Building a Team of High-Agency People
26:49 Shopify OS: Engineering the Company from First Principles
36:48 Compensation Innovation: Giving Employees Full Agency
40:41 The Psychology of Identity and Affirmations
48:43 Differentiation Over Perfection: Making It Your Own
50:31 Context Podcast: Documenting Decision-Making
1:26:36 The IPO Decision: Going Against Silicon Valley Orthodoxy
1:35:08 Building a Company Worth Working For
1:41:50 Hiring for Spikiness: Finding Non-Conformists
1:48:28 Office Design Philosophy: Creating Space for Excellence
1:58:54 Video Games as Business Training: StarCraft Lessons
2:07:06 AI Revolution: 2026 and Beyond
2:11:44 Focus on Craft: The Unquantifiable Elements of Excellence
2:21:08 Survivorship Bias: The Importance of Entrepreneurial Exposure
2:23:22 Closing
Includes paid partnerships.
M. Austin James 📈 retweeted
POV: claude traveled 6 months into the future and told you exactly how your next move failed.
it's called a premortem.
daniel kahneman (nobel prize-winning psychologist behind "thinking fast and slow") called it his single most valuable decision-making technique.
google, goldman sachs, and procter & gamble all use it before major launches.
here's the problem it solves.
when you ask claude "is this a good plan?" it finds all the reasons to say yes.
that's what it was trained to do. so you walk away feeling confident.
you execute, and spend weeks / months building on top of that plan.
then it blows up.
and you realize the problem was obvious in hindsight, you just never stress-tested it because claude told you it was solid.
a premortem fixes this by flipping the frame.
instead of asking "what could go wrong?" you tell claude "it's 6 months from now and this is already dead. tell me how it died."
that shift turns off claude's optimism because there's nothing to be optimistic about. the premise already says it failed.
so claude stops looking for reasons your plan will work and starts explaining how it fell apart.
claude comes back with every way your plan could die, each one with a full failure story and the early warning signs to watch for.
then a synthesis pulls it all together:
> which failure is most likely
> which failure is most dangerous
> the single biggest hidden assumption you're making (often the most valuable part)
> a revised version of your plan with the gaps closed
you say "premortem this" and give it your plan. the skill handles the rest.
M. Austin James 📈 retweeted
Biggest takeaway from this: 3rd-party Google OAuth Apps that request scopes beyond the basic info (name/user/profile pic) is a dangerous attack vector.
To safeguard your org from attacks like this, highly recommend asking your Google workspace admin to restrict "unconfigured third-party apps" to only be able to request basic info needed 👇
Here's the direct link to access that settings page: admin.google.com/ac/owl/sett…
h/t @matid for the pro-tip!
Here's my update to the broader community about the ongoing incident investigation. I want to give you the rundown of the situation directly.
A Vercel employee got compromised via the breach of an AI platform customer called Context.ai that he was using. The details are being fully investigated.
Through a series of maneuvers that escalated from our colleague’s compromised Vercel Google Workspace account, the attacker got further access to Vercel environments.
Vercel stores all customer environment variables fully encrypted at rest. We have numerous defense-in-depth mechanisms to protect core systems and customer data. We do have a capability however to designate environment variables as “non-sensitive”. Unfortunately, the attacker got further access through their enumeration.
We believe the attacking group to be highly sophisticated and, I strongly suspect, significantly accelerated by AI. They moved with surprising velocity and in-depth understanding of Vercel.
At the moment, we believe the number of customers with security impact to be quite limited. We’ve reached out with utmost priority to the ones we have concerns about. All of our focus right now is on investigation, communication to customers, enhancement of security measures, and sanitization of our environments. We’ve deployed extensive protection measures and monitoring. We’ve analyzed our supply chain, ensuring Next.js, Turbopack, and our many open source projects remain safe for our community.
The recommendation for all Vercel customers is to follow the Security Bulletin closely (vercel.com/kb/bulletin/verce…). My advice to everyone is to follow the best practices of security response: secret rotation, monitoring access to your Vercel environments and linked services, and ensuring the proper use of the sensitive env variables feature.
In response to this, and to aid in the improvement of all of our customers’ security postures, we’ve already rolled out new capabilities in the dashboard, including an overview page of environment variables, and a better user interface for sensitive env var creation and management. As always, I’m totally open to your feedback.
We’re working with elite cybersecurity firms, industry peers, and law enforcement. We’ve reached out to Context to assist in understanding the full scale of the incident, in an effort to protect other organizations and the broader internet. I also want to thank the Google Mandiant team for their active engagement and assistance.
It’s my mission to turn this attack into the most formidable security response imaginable. It’s always been a top priority for me. Vercel employs some of the most dedicated security researchers and security-minded engineers in the world. I commit to keeping you updated and rolling out extensive improvements and defenses so you, our customers and community, can have the peace of mind that Vercel always has your back.
M. Austin James 📈 retweeted
Linus Torvalds created Linux at 21 without Claude or any other AI.
- He didn't have a co-founder.
- No VC funding. No office.
- No team.
- Just a personal project
he posted to a mailing list:
"I'm doing a free OS."
33 years later,
it runs 97% of the world's servers, all smartphones, and the International Space Station.
The most important software in history started as someone's side project.
Absolute legend.
M. Austin James 📈 retweeted
Send this article to your agent and thank me later
xitter.gq/kevingu/status/2039843…
M. Austin James 📈 retweeted
I turned The Minimalist Entrepreneur into 9 Claude Code skills.
/find-community — find your people
/validate-idea — test before you build
/mvp — ship in a weekend
/first-customers — sell to 100 people
/pricing — charge something
/marketing-plan — make fans, not headlines
/grow-sustainably — spend less than you make
/company-values — define your culture
/minimalist-review — gut-check any decision
github.com/slavingia/skills
M. Austin James 📈 retweeted
Replying to @RayDalio
For those not reading all of that: claude.ai/public/artifacts/b…
M. Austin James 📈 retweeted
Replying to @thedankoe
“Creativity is just connecting things.”
— Steve Jobs
M. Austin James 📈 retweeted
Instagram's latest nav change is a classic example of data-driven UX.
Explaining the why in the thread ↓
M. Austin James 📈 retweeted
Culture feeds us a steady diet of what it believes is important. If we're not careful, we can spend years working toward something that ends up meaning nothing to us.
M. Austin James 📈 retweeted
This bodes ill. Readers used to outnumber non-readers 2 to 1. Now non-readers outnumber readers 3 to 1.
It's hard to imagine a change of that magnitude not having significant effects.
M. Austin James 📈 retweeted
Let’s play a game.
One guy rents. One guy buys.
Whoever pays less per month gets to invest the difference in SPX.
Who ends up richer?
Let’s get deep in the data. More charts + detailed analysis below 🧵
Key Assumptions:
Both parties must pay for shelter; only the monthly cost gap is investable and it flows to whichever option is cheaper that month.
Buyer net worth = Home equity (price − loan) + invested savings
Renter net worth = invested savings (credited with buyer’s down + closing on day 0)
Inputs for attached chart:
- $500k home
- 20% down
- 30-yr fixed 6%
- HPA 4%
- rent = $3k, rising at 3%/yr
- T/I/M 1.2% / 0.3% / 1.0% of home value, closing 2.5%
- investment = 7%/yr (nominal, monthly compounding)
Crossovers with these inputs:
- Buyer overtakes renter net worth in ~15 months
- Buyer’s monthly cost becomes cheaper than rent in month 101 (~8 years, 5 months)
I ignored individual tax effects (interest/SALT caps, capital-gains exclusion, dividend taxes) for simplicity. Including them would typically strengthen the buyer case regardless.
M. Austin James 📈 retweeted
Last quarter I rolled out Microsoft Copilot to 4,000 employees.
$30 per seat per month.
$1.4 million annually.
I called it "digital transformation."
The board loved that phrase.
They approved it in eleven minutes.
No one asked what it would actually do.
Including me.
I told everyone it would "10x productivity."
That's not a real number.
But it sounds like one.
HR asked how we'd measure the 10x.
I said we'd "leverage analytics dashboards."
They stopped asking.
Three months later I checked the usage reports.
47 people had opened it.
12 had used it more than once.
One of them was me.
I used it to summarize an email I could have read in 30 seconds.
It took 45 seconds.
Plus the time it took to fix the hallucinations.
But I called it a "pilot success."
Success means the pilot didn't visibly fail.
The CFO asked about ROI.
I showed him a graph.
The graph went up and to the right.
It measured "AI enablement."
I made that metric up.
He nodded approvingly.
We're "AI-enabled" now.
I don't know what that means.
But it's in our investor deck.
A senior developer asked why we didn't use Claude or ChatGPT.
I said we needed "enterprise-grade security."
He asked what that meant.
I said "compliance."
He asked which compliance.
I said "all of them."
He looked skeptical.
I scheduled him for a "career development conversation."
He stopped asking questions.
Microsoft sent a case study team.
They wanted to feature us as a success story.
I told them we "saved 40,000 hours."
I calculated that number by multiplying employees by a number I made up.
They didn't verify it.
They never do.
Now we're on Microsoft's website.
"Global enterprise achieves 40,000 hours of productivity gains with Copilot."
The CEO shared it on LinkedIn.
He got 3,000 likes.
He's never used Copilot.
None of the executives have.
We have an exemption.
"Strategic focus requires minimal digital distraction."
I wrote that policy.
The licenses renew next month.
I'm requesting an expansion.
5,000 more seats.
We haven't used the first 4,000.
But this time we'll "drive adoption."
Adoption means mandatory training.
Training means a 45-minute webinar no one watches.
But completion will be tracked.
Completion is a metric.
Metrics go in dashboards.
Dashboards go in board presentations.
Board presentations get me promoted.
I'll be SVP by Q3.
I still don't know what Copilot does.
But I know what it's for.
It's for showing we're "investing in AI."
Investment means spending.
Spending means commitment.
Commitment means we're serious about the future.
The future is whatever I say it is.
As long as the graph goes up and to the right.
M. Austin James 📈 retweeted
First time in the history of the SEC Championship Game an opponent has been shutout thru three quarters
M. Austin James 📈 retweeted
why are you still paying for AI courses?
I show how to build an app for completely free from start to finish in 3 hours.
that is it,
no strings attached.
I don't want your email.
Wanna build real apps without spending a dime on tools? 💸
You only need a domain — everything else can be built for free.
I just recorded a full 3 hour 11 minute walkthrough showing how to create a real, production-ready website using modern architecture, clean layout structure, and a completely free tech stack. 🎨
🚀 See the final website from this series:
buildersconsolelog.com/
Do you wanna watch this lesson by lesson?youtube.com/playlist?list=PL…
M. Austin James 📈 retweeted
Reminder that THE Bo Jackson played his final Iron Bowl 40 years ago with 2 broken ribs - and carried 31 times for 142 yards.
How do I know his ribs were broken? Long before HIPAA laws, I tracked down his X-rays days after the game to confirm.
M. Austin James 📈 retweeted
This is insane… OpenAI Anthropic & Google just got access to petabytes of proprietary Data, The data is coming from the 17 National Laboratories, which have been hoarding experimental data for decades.
We aren't just talking about better chatbots anymore. The US Government’s new Genesis Mission is officially building autonomous scientific agents.
They call it "Closed-Loop" discovery, and it fundamentally changes the physics of how we invent things. Instead of humans using tools, it will be fully autonomous.
The workflow described in the DOE roadmap is essentially sci-fi:
• The AI Designs: It looks at the data and hypothesizes: "If we mix these alloys at 4,000 degrees, we get a superconductor."
• It sends instructions to a robotic lab (which the DOE is building) to physically mix the materials.
• The robot feeds the results back instantly. If it fails, the AI tweaks the formula.
• This cycle runs thousands of times a day, 24/7. No sleeping. No grant writing.
M. Austin James 📈 retweeted
Google’s reign at the top lasted 6 days.
Gemini 3 Pro launched Nov 18 with a record 1501 LMArena Elo. Today Anthropic drops Opus 4.5 and reclaims SWE-bench at 80.9%. First model to break 80%.
Three labs. Three completely different theories of value capture.
Anthropic is betting on developers. 80.9% SWE-bench. 66.3% OSWorld. 59.3% Terminal-bench. Every benchmark where code ships, they lead. They don’t care about being the smartest model. They care about being the model that closes your tickets.
Google is betting on ecosystem. 91.9% GPQA Diamond. 91.8% MMMLU. 1M token context. Gemini in Search, Workspace, Cloud, Android. Win the benchmark, own the integration points, tax the stack.
OpenAI is betting on distribution. 800M+ weekly users. Copilot in every Office product. 92% of Fortune 500 already paying. Their moat isn’t benchmarks. Their moat is that your CFO already approved the invoice.
You can see each bet in the pricing. Opus 4.5 dropped from $15/$75 to $5/$25 per million tokens. Still 4x more expensive than GPT-5.1. Anthropic isn’t competing on cost. They’re charging a premium for the model that actually deploys your PR.
Now look at the blank cells in this benchmark. GPT-5.1 shows nothing for agentic tool use, scaled tool use, or computer use. Gemini shows nothing for OSWorld or MCP Atlas. Those aren’t missing data. Those are strategic concessions. Each lab is ceding entire capability categories to win others.
The 6-day leaderboard cycle is the new normal. No model dominates everything. Labs take turns topping specific benchmarks while walking away from others entirely.
Anthropic just made a $350B-valuation bet that code execution is where the margin lives.





































