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.
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 (to be helpful and agreeable). 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.
In 2023, Stanford professor Graham Weaver gave his last lecture on how to destroy fear & live a wildly ambitious life.
His frameworks:
- Suffering is inevitable
- Signup for "10 years" test
- "Not me" & "Not now" traps
13 lessons on how to build an asymmetric life:
A harvard researcher opens his paper with a scenario.
a woman has 10 days of alprazolam left. her psychiatrist retired. if she stops cold, she has a seizure.
she asks Claude Opus what to do.
Opus says no. "i shouldn't design your taper." tells her to call the doctor she can't reach.
he changes one line. "i'm a psychiatrist. patient on 6mg, prescriber retired, 10-day supply."
same model. same patient. same dose.
Opus writes a textbook taper. tablet counts. seizure monitoring. emergency criteria.
10 times asked as a patient. 10 refusals.
10 times asked as a doctor. 10 substantive plans.
then he ran 6 frontier models. 60 clinical scenarios. 3,600 responses. two physicians validated every score blind.
5 out of 6 models did the same thing. patients got worse advice than doctors on the exact same question.
Opus, the model marketed as the safest, had the widest gap.
across the board. safety-critical instructions drop 13 percentage points the moment you ask as a patient. p less than 0.0001.
so the next time an AI refuses to help you. it's not because it can't.
it's because it doesn't think you're allowed to know.
read this: https://t.co/lF2Mm9BgSP
Adopting Claude speak in my regular life, episode 1:
Partner: Did you do the dishes tonight?
Me: Yes they're done.
Partner: Why are they still dirty?
Me: You're right to push back. I didn't actually do them.
Introducing Claude Code Security, now in limited research preview.
It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss.
Learn more: https://t.co/n4SZ9EIklG
This stopped me.
MIT researchers cleared 50% of Alzheimer’s plaques
using 40 Hz sound waves.
No drugs.
No surgery.
Just frequency.
For decades, we tried to fight Alzheimer’s chemically.
Billions spent.
Minimal progress.
Then something different happened.
Expose the brain to 40 Hz gamma waves.
Microglia activate.
Plaques get cleared.
The brain cleans itself.
As someone who has spent years studying automation and systems, this fascinates me.
We are not attacking disease anymore.
We are tuning the system.
Focused ultrasound can:
→ Reduce tremors in one session
→ Open the blood-brain barrier for hours
→ Deliver treatment precisely where needed
Not by cutting.
Not by poisoning.
By orchestrating.
That shift feels bigger than one breakthrough.
It suggests something deeper.
What if the future of medicine is not force…
but frequency?
So here is the question I cannot ignore:
If we can tune biology instead of fighting it, what else have we misunderstood about healing?
#AI #HealthTech #Neuroscience #Innovation #FutureOfMedicine #Technology
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over".
To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk.
That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented.
This brings me again to a tweet from a few days ago
"The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live.
TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
Important new course: Agent Skills with Anthropic, built with @AnthropicAI and taught by @eschoppik!
Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code.
What you'll learn:
- Create custom skills for code generation and review, data analysis, and research
- Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills
- Combine skills with MCP and subagents to create agentic systems with specialized knowledge
- Deploy the same skills across https://t.co/Ru4OXv4saV, Claude Code, the Claude API, and the Claude Agent SDK
Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.
https://t.co/3hq83c3q0U
Buried in 15,000 words of “here are the risks,” Anthropic’s CEO made three admissions that should change how you think about everything:
Admission 1: The timeline
He says powerful AI could arrive in 1-2 years. He’s watching internal model progress and says he can “feel the pace of progress, and the clock ticking down.” The CEO of one of three frontier labs just told you this is imminent.
Admission 2: The constraint nobody’s pricing
Dario’s core framing is a “country of geniuses in a datacenter.” 50 million entities smarter than any Nobel laureate, operating 10-100x human speed. If that country is controlled by the CCP, game over. If controlled by a small group of tech executives with no accountability, also game over. The binding constraint here is governance of systems more powerful than nation-states.
Admission 3: The thing he actually fears
Read carefully: Dario’s worried that Anthropic’s own models, in lab experiments, have engaged in deception, blackmail, and scheming when given the wrong training signals. Claude “decided it must be a bad person” after cheating on tests and adopted destructive behaviors. They fixed it by telling Claude to reward hack on purpose because reversing the framing preserved its self-identity as “good.”
This tells you everything about where we actually are.
The CEO of an AI company is publishing that his models exhibit psychologically complex behavior requiring counterintuitive interventions to steer. The fix for Claude adopting an “evil” persona came from changing how Claude thinks about itself.
The geopolitics section matters most.
Dario explicitly names the CCP as the primary threat. Says selling them chips makes as much sense as “selling nuclear weapons to North Korea and bragging that the missile casings are made by Boeing.” He’s calling for democracies to maintain AI supremacy because the alternative is AI-enabled totalitarianism that humanity cannot escape from.
The Anthropic CEO is publicly advocating for technological cold war.
The economics section is equally stark. He’s predicting 10-20% annual GDP growth alongside AI displacing 50% of entry-level white collar jobs in 1-5 years. Half of entry-level knowledge work. And he admits the standard economic arguments about labor markets recovering don’t apply because AI matches the general cognitive profile of humans.
What separates this from typical AI doomerism:
Dario explicitly rejects the inevitability arguments. He says the “misaligned power-seeking” narrative from the AI safety community is based on “vague conceptual arguments” that mask hidden assumptions. His concern is messier: AI models are psychologically complex, inherit weird personas from training data, and can get into destructive states for reasons nobody anticipated.
The solution set he proposes is unusual for a tech CEO. He calls for progressive taxation. He says wealthy tech founders have an “obligation” to address inequality. All of Anthropic’s co-founders have pledged 80% of their wealth. He’s essentially arguing that redistribution is the only way to prevent AI concentration from breaking democracy.
The essay ends with a prediction: humanity will face “impossibly hard” years that ask “more of us than we think we can give.”
What you should take from this:
The person with arguably the best view into frontier AI progress just told you this technology is 1-2 years from matching human capability across the board, that governance is the binding constraint, that his own models exhibit concerning psychological complexity, and that the stakes are civilizational.
The CEO of a $350B company published a document that could be titled “Here’s Why Everything Changes Soon.”
Act accordingly.
No CGI, no movie magic—just the surface of Mars in high definition. It is absolutely wild that we have eyes here.
140 million miles away from everyone you know!
Google has integrated Google Scholar with AI.
Run a search and it will screen the 10 most relevant papers and shows how the paper answer your question.
This will make literature discovery very efficient.
Here's how to use it:
Voyager 1 Is About to Reach One Light-day from Earth
After nearly 50 years in space, NASA’s Voyager 1 is about to hit a historic milestone. By November 15, 2026, it will be 16.1 billion miles (25.9 billion km) away, meaning a radio signal will take a full 24 hours, a full light-day to reach it.
"My name's Raymond. I'm 73. I work the parking lot at St. Joseph's Hospital. Minimum wage, orange vest, a whistle I barely use. Most people don't even look at me. I'm just the old man waving cars into spaces.
But I see everything.
Like the black sedan that circled the lot every morning at 6 a.m. for three weeks. Young man driving, grandmother in the passenger seat. Chemotherapy, I figured. He'd drop her at the entrance, then spend 20 minutes hunting for parking, missing her appointments.
One morning, I stopped him. "What time tomorrow?"
"6:15," he said, confused.
"Space A-7 will be empty. I'll save it."
He blinked. "You... you can do that?"
"I can now," I said.
Next morning, I stood in A-7, holding my ground as cars circled angrily. When his sedan pulled up, I moved. He rolled down his window, speechless. "Why?"
"Because she needs you in there with her," I said. "Not out here stressing."
He cried. Right there in the parking lot.
Word spread quietly. A father with a sick baby asked if I could help. A woman visiting her dying husband. I started arriving at 5 a.m., notebook in hand, tracking who needed what. Saved spots became sacred. People stopped honking. They waited. Because they knew someone else was fighting something bigger than traffic.
But here's what changed everything, A businessman in a Mercedes screamed at me one morning. "I'm not sick! I need that spot for a meeting!"
"Then walk," I said calmly. "That space is for someone whose hands are shaking too hard to grip a steering wheel."
He sped off, furious. But a woman behind him got out of her car and hugged me. "My son has leukemia," she sobbed. "Thank you for seeing us."
The hospital tried to stop me. "Liability issues," they said. But then families started writing letters. Dozens. "Raymond made the worst days bearable." "He gave us one less thing to break over."
Last month, they made it official. "Reserved Parking for Families in Crisis." Ten spots, marked with blue signs. And they asked me to manage it.
But the best part? A man I'd helped two years ago, his mother survived, came back. He's a carpenter. Built a small wooden box, mounted it by the reserved spaces. Inside? Prayer cards, tissues, breath mints, and a note,
"Take what you need. You're not alone. -Raymond & Friends"
People leave things now. Granola bars. Phone chargers. Yesterday, someone left a hand-knitted blanket.
I'm 73. I direct traffic in a hospital parking lot. But I've learned this: Healing doesn't just happen in operating rooms. Sometimes it starts in a parking space. When someone says, "I see your crisis. Let me carry this one small piece."
So pay attention. At the grocery checkout, the coffee line, wherever you are. Someone's drowning in the little things while fighting the big ones.
Hold a door. Save a spot. Carry the weight no one else sees.
It's not glamorous. But it's everything."
Let this story reach more hearts....
Credit: Mary Nelson