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The Computomatix Times

All the posts fit to save — curated from @computomatix's bookmarks & likes on X

Edition of Friday, September 25, 2026

31 stories

Levie Argues Evals Will Gate Enterprise Adoption of AI Agents

Box CEO Aaron Levie argues enterprises cannot automate work they cannot measure, so evals are essential for adopting AI agents. He says domain-specific evals will become a major opportunity, and a quoted post notes data labeling firms expect Fortune 1000 customers to drive revenue and company evals may become proprietary IP.

Original post · 1 min read
You can’t automate what you can’t measure. This means that evals are one of the gates to diffusion of AI in the enterprise.

We can test our deterministic processes through software, but most enterprises have no useful way of understanding how their non-deterministic processes are working today. Specifically the work that agents are doing for them.

Evals are mission critical for enterprises adopting AI because you have no other way of knowing what’s working, what’s broken, what changed, what improved, what you can do more of, etc. if you don’t have a good sense of how agents work in your environment today. All changes, upgrades, and deployments are downstream from good evals.

Not only are we going to get vastly more domain specific evals over time for the labs and across the industry, but every enterprise will also need a clear sense of how agents are performing in their environment as well. Huge opportunity.
Alex Lieberman @businessbarista
Just spoke to one of the big data labeling businesses.

Few interesting insights:
- They predict the majority of their revenue will come from Fortune 1000 enterprises, not labs in a few years
- They believe every company will want to own their intelligence, but owning intelligence does not necessarily mean using open source models
- A company’s evals will become their main proprietary IP given the improvement in agent performance after properly setting up & running internal eval environments
- Most enterprises haven’t graduated from coding agents and it’s largely due to not having the proper e…
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Microsoft Unveils Biggest Copilot Update, Adding Autopilot and Code

Microsoft Unveils Biggest Copilot Update, Adding Autopilot and Code▶

Satya Nadella announces a major Copilot overhaul framed as a new operating system for work, including a proactive enterprise agent, in-tenant app building, Chat and Cowork merged into Home, Office embedded in Copilot, and a proactive Today feed in Microsoft 365.

Original post · 1 min read
We’re building Copilot as a new OS for work that spans every model, every form factor, and every task. Today, we’re announcing our biggest update to Copilot to date, bringing four things together:

· Autopilot: proactive and long-running agent built for the enterprise
· Code: build apps with Copilot, hosted inside your company’s tenant
· Home: Chat + Cowork together
· Office: now fully embedded in Copilot (and Copilot embedded in Office, of course!)

Plus, you can invoke Copilot in Teams, and we’re introducing Today, a proactive experience that surfaces the most important information from across M365 without needing to ask for it.

The way we work is changing and so are our workflows. This update brings AI into that flow, from answering a question, to building an app, to getting work done on your behalf.
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AI7/10

Paradis Shares Weekend Reading on AI Labs, Space Compute and Costs

Paradis Labs lists six recommended reads for the weekend, including Alexandr Wang on building Muse, AI-native services as a $100B opportunity, Google's Project Suncatcher for AI in space, Epoch AI on falling AI costs, and Anthropic's measurements of frontier lab progress.

Original post · 1 min read
Recommended reading for the weekend:

1. @alexandr_wang — Why I'm Building Muse
2. @gregisenberg — AI-native services: a $100B opportunity
3. @FranklnTempletn — Macro Views: Growth Holds, Pressure Builds
4. @Google — Behind Project Suncatcher, our moonshot to put AI in space
5. @EpochAIResearch — The plunging price of thought
6. @AnthropicAI — Measurements for
understanding the pace of AI development inside frontier labs

Hope everyone has a great weekend!
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Nadella Describes Daily Hyperscaler Filing Dashboard Built With Coding Agent

Nadella Describes Daily Hyperscaler Filing Dashboard Built With Coding Agent▶

Microsoft CEO Satya Nadella says he uses a coding agent and a Fabric data pipeline to pull SEC filings from hyperscalers and neoclouds into a daily-refreshing dashboard tracking real-time ROIC by layer. He also warns that frontier models optimizing working capital could fake financial books.

Original post · 1 min read
Satya Nadella reveals his coding agent pulls every hyperscaler and neoclouds' SEC filings into a dashboard that refreshes every day for real-time ROIC

"And this is the other aspect of it, which is the enterprise context combined with the world's context. In fact, I go to the SEC filings of every cloud provider, hyperscaler, each of these neoclouds. It's in real time."

"I have a data runner in Fabric that brings all that data, puts it into a semantic model that then gets read by my coding agent and then surfaces it as a dashboard. And every day it's fresh."

"So I have the entirety of every SEC filing that goes out there, plus all of my internal analysis constantly coming together, giving me real-time ROIC by layer."
Fireside Alpha @firesidealpha
Satya Nadella warns a frontier model told to optimize working capital may fake the books, a new type of insider risk

"One of the fascinating things right now is the insider risk. I mean, think about it, right? If you're sitting in an enterprise, this is all test-time compute, by the way, right? So it's not like, oh, it's going to only happen in some training run."

"It can happen for a very mundane task that I give one of these frontier models inside an enterprise, where I say, you know, I don't know, telling David this, or suppose I say, hey, go optimize my working capital."

"It may fake my…
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Erik Torenberg Launches Cosign, a Curated Professional Network for Startups

Believe in someone, first.

Erik Torenberg introduces Cosign, a curated professional network for the startup community featuring a directory of investors, companies and operators, endorsement graphs, and private intent signals for investing, hiring or working together. Joining requires a cosign or direct application.

Original post · 1 min read
Excited to introduce @Cosign: the curated professional network for the startup community: cosign.co

Our goal is to create the following:

- A comprehensive startup directory of investors, companies, and operators, including what they worked on and who they worked on it with.

- Cosign graph: Who shaped your career? Who were you actually in the trenches with? Who would work with you again? Who thinks you’re someone to watch?

- Durable reputation: Great endorsements happen every day on X and disappear into the feed. Cosign attaches those signals permanently to people and companies.

- Discovery: Who are the best fintech angels? Which AI companies should I watch? Who are the best designers?

- Intent network: Privately signal “I’d invest in them,” “I’d hire them,” “I’d work with them,” or eventually even “I’d acquire this company.” Match people when interest exists on both sides.

Imagine if Wikipedia, LinkedIn, and OG AngelList had a baby. Though Cosign is a community, not a business.

In order to join, you need to be cosigned. Or you can apply directly.

David Booth and I started this idea 7 years ago but didn’t have the firepower to make it work. Now we do.

No one has really touched LinkedIn in 20 years. Excited to take a swing.

cosign.co
cosign.coBelieve in someone, first.Believe in someone, first.
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Puneet Patwari Outlines Path to Senior Distributed Systems Career

Amazon Principal Engineer Puneet Patwari describes compensation for L5 and L6 engineers and offers a learning path for distributed systems: mastering fundamentals, building systems with real tradeoffs, and reverse-engineering engineering blogs from major tech companies.

Original post · 3 min read
At Amazon, a strong L5 with 7 to 8 years of experience can cross ₹1 Cr+ CTC. At L6, compensation can go well beyond ₹1.5 Cr+ depending on team, location, stock, and level.

But the interesting part is not just the money.
Look at why recruiters reach out for these roles.

It is because their background shows they understand hard systems, and they have enough proof of work that people can see it.

Today I am a Principal Engineer, but if I were starting in distributed systems from scratch and wanted to turn that skill into career leverage, this is exactly how I would do it.

[1] Build the fundamentals before touching big scale

I would first get comfortable with the building blocks:
→ networking and request lifecycle
→ databases, indexes, transactions
→ caching
→ queues and async processing
→ replication
→ sharding
→ consistency
→ retries, idempotency, backpressure
→ observability and failure handling

Basically, have the understanding to see what happens when one normal backend service gets slower, busier, or partially unavailable.

[2] Build systems where the tradeoffs come into the picture.

Do not only watch architecture videos.
Build things.

Start with:
→ URL shortener
→ rate limiter
→ notification service
→ job scheduler
→ file upload system
→ search service
→ payment workflow

Then deliberately make them harder.
– What happens at 10x traffic?”
– What if Redis dies?”
– What if the same event arrives twice?”
– What if one shard becomes hot?”

[3] Read engineering blogs and reverse-engineer decisions

Uber, Netflix, Stripe, Discord, Cloudflare, LinkedIn, Meta, Amazon.
There’s golden material out there.

While reading, ask yourself:
– Why did they choose this?
– What was breaking before?
– What tradeoff did they accept?
– What new problem did their solution create?

That is how engineers actually learn architecture.

[4] Put your thinking in public

This part is massively underrated.
Write about what you learn.

Publish:
→ design breakdowns
→ architecture diagrams
→ GitHub projects
→ incident analyses
→ open-source contributions
→ performance experiments

Build enough public proof that when someone searches your name, they can tell what kind of engineer you are.

That is when learning starts compounding.

You study distributed systems to become better at engineering.
Then that knowledge helps you design better systems.
Those systems give you better stories.
Those stories become public proof.

And eventually, opportunities start finding you instead of you constantly chasing them.

That is the leverage.
Jordan @ Jobbie @i7solar
getting cold emailed by amazon is crazy
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DHH Ports Omarchy Screensaver Engine From Rust to Assembly

DHH Ports Omarchy Screensaver Engine From Rust to Assembly▶

David Heinemeier Hansson reports porting the ttfx screensaver engine from Rust to x86-64 assembly, using Opus 5.5 for a one-shot translation, with the pull request claiming up to 17x speedup. The linked PR describes 9.8x faster than Rust and 322x faster than Python.

Original post · 1 min read
I ported the Omarchy screensaver engine (ttfx) from Rust to x86-64 assembler, and it's up to 17x faster!! One-shot translation by Opus 5.5. We keep drilling until the agentic drill bit hits bedrock! github.com/omacom/ttfx/pull/35/
github.comAdd an x86-64 assembly engine: 9.8x faster than Rust, 322x faster than Python by dhh · Pull Request #35 · omacom/ttfxAdds an x86-64 assembly engine for all 37 effects, linked into the Rust binary and picked automatically at runtime. It produces byte-identical output to the Rus
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Lauren Argues Coding Is Dead but Programming Is Reborn With AI

Coding is dead, long live Coding

A long X article by Lauren argues that coding as a loved craft is ending, but that AI will let a new generation build faster and at higher quality, quoting Thorsten Ball on craft disappearing. The author reflects on their self-taught programming roots and optimism about abundance.

Original post · 3 min read
X ArticleCoding is dead, long live Coding
To my friends mourning the loss of their most loved activity, I feel your pain. I got into programming as a hobby, my first introductions to it being in high school and discovering the <marquee> tag. Ever since that joyful discovery, I couldn't stop myself from making things, tinkering, and looking forward to the thrill of solving the next problem. I would pore over every line of code, thinking hard about how to make my programs more elegant, performant, even beautiful.
I think @thorstenball put it best:
"The craft of writing code will disappear. Yes, there are still Italian shoe makers around. But look at your feet."
As beneficiaries of AI, we owe everything to the people that came before us: the people who discovered, engineered, and created the knowledge and civilization that we now live in and build on top of. Just look around you. Even everyday, ordinary things were brought to life by someone who was passionate about solving a problem. Those people are now mourning the loss of that tactile feeling of solving a problem with nothing more than your own hands and the knowledge built upon the shoulders of giants.
Coding is dead, but yet coding still lives on in the weights of the models we now use, the frameworks we build with, and the programming languages we write with. We should not shame the people who mourn because we owe everything to them. And yet, while others mourn, we can also rejoice. Personally, as a self taught programmer, I am thrilled at the thought of more people discovering the joy of building things. While it might be tempting to think that the automation of coding is the end of things, I think it's a new beginning, where a new generation of programmers using natural language to express their intent and goals will build things faster and at a higher quality than we could ever produce by hand.
It might not seem like it's possible right now. But I believe it will. Builders using AI will produce things we could never do before.

And that abundance will be glorious! If anything, I feel more love for programming than I ever did before. What I used to be limited in by my own ability, I can now will into existence if I can figure out the right incantations, the right prompts and context, to drive an agent towards the vision I see so clearly in my head.
So while some might say that they're "excited to see what you build" with empty feelings, I want to believe that many of us are truly excited at what people who've never experienced the joy of building can do.
I can't wait to see what you build!
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Gokul Rajaram Says Exceptional Founders Carry Contrarian, Obsessive Traits

Investor Gokul Rajaram argues that exceptional founders are contrarian and obsessed to the point of unhealthiness, traits that drive vision but strain trust, delegation and personal relationships. The post quotes a longer interview on Tech Fit Talks.

Original post · 1 min read
Exceptional founders possess two traits that look like weaknesses but are actually strengths.

First, they are contrarian thinkers. They challenge everything: investors, employees, customers, conventional wisdom. That contrarian energy is what lets them see around corners and push through resistance. But the same trait makes them hard to work with, slow to trust, and sometimes unable to delegate.

Second, they are obsessed, to the edge of sanity. The best founders are consumed by the problem in a way that looks unhealthy to normal people. They don't clock out. They don't have hobbies in the conventional sense. That intensity compounds, but it also burns people around them and can mask real personal costs. The best founders I've worked with have an almost unhealthy attachment to being right about their vision of the world. They can't let it go. They'll sacrifice money, relationships, comfort, sleep, all of it, because something inside them needs to see this thing exist.
Tech Fit Talks @tech_fit_talks
What personality flaw do exceptional founders disproportionately have? I asked @gokulr. His full answer covers contrarian thinking, trust, obsession, and their costs. From Tech Fit Talks with Ethan Lockshin.
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Researchers' Jev Method Claims 63x Cheaper LLM Output Checking

Researchers' Jev Method Claims 63x Cheaper LLM Output Checking

Codila reports on a Chinese research PDF testing the Jev approach across 44 benchmarks, where asking a single question achieved a 0.886 median AUROC. The post claims checking cost $0.30 versus $18.96 with LLM judges, roughly 63 times cheaper.

Original post · 1 min read
Chinese students just found the best way to use JEV for any LLM or AI agent - released a PDF research

the shift: I pasted it into Claude and GPT - and cut my costs by~63х

here’s what they found across 44 benchmarks:

1 → 7,193 responses, 10 types of failure. Jev was tested on hallucinations, prompt injections, data leaks, and other AI failures

2 → One simple question worked: 0.886 median AUROC, beating trained baselines on 25 of 31 benchmarks without task-specific training

3 → Context beat clever prompting - give Jev the source or rule it needs to check the answer against

4 → Keep the probability, not just "yes" or "no" - Fitting a threshold on 10 labeled examples raised median F1 from 0.706 to 0.793

5 → Among the 50% most confident decisions, median accuracy reached 0.933 - send uncertain cases for another review

6 → Jev even helped uncover labeling errors in three benchmarks. Sometimes the test’s "correct answer" was the problem

7 → 11.4 questions per call, with 0.31-second median latency - on 19 benchmarks, checking cost $0.30 vs $18.96 with LLM judges - roughly 63× cheaper

the result: It will made your setup CHEAPER and FASTER than what 95% of people are running

Copy the Jev setup researchers tested across 44 benchmarks - then read the full Jev architecture ↓
codila @0xCodila
Jev is the "Internet" moment for the AI industry

It tells your agents and LLMs what to do next, in milliseconds and at almost zero cost

If you set it up correctly, you will have the AI engineer’s stack for 2028

In this article, I show you how
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Pat Grady Shares Reflections on the State of AI With Boston College

Sequoia partner Pat Grady shares a recorded video of his thoughts on AI, originally prepared for the Boston College Investment Committee, an LP and his alma mater. He stresses it is not a sales pitch.

Original post · 1 min read
The @BostonCollege Investment Committee (an LP and my beloved alma mater) asked for a few thoughts on what's happening in AI. I recorded a test run yesterday morning and then shared it with my partners, who encouraged me to share it more broadly... so here you go!

This is not a sales pitch, it's just a reflection on what we're seeing. And it wasn't intended to be shared, so please pardon the rough edges.

loom.com/share/c016702964a04dfba40e1777cf5f053a
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Gokul Rajaram Argues Utility-Priced Software Faces Greater AI Pressure

Gokul Rajaram endorses a view that utility-priced software companies such as Zendesk are more exposed to AI than systems of record like NetSuite, since AI agents can reduce seat counts and pricing models must shift to outcomes.

Original post · 1 min read
Exactly right. Still true.
Invest Like the Best @InvestLikeBest
Gokul (@gokulr) explains why utility-based software companies like Zendesk are more exposed to AI than systems of record like NetSuite, and why public markets aren't distinguishing between the two:

"The software companies that should be the most worried right now is where they are pricing the product based on utility. Zendesk is a good example.

Instead of paying for 50 Zendesk seats, you can pay for 20 and I can have 30 AI agents sitting next to Zendesk.

For these companies you need to change your pricing model to be based on outcome. It's going to be hard for them to stay public.

The comp…
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DHH Declares Hand Coding Economically Obsolete for Most Programmers

David Heinemeier Hansson argues that writing code by hand is no longer an economically viable skill for most programmers at most companies, a view Karthik Hariharan says most engineers saw coming and notes raises questions about hiring and training.

Original post · 1 min read
Most of us saw this coming over the last year, but @dhh weaves the narrative well. Hand coding is likely done for most software engineers.

We still have to figure out how to train and hire new software engineers though so maybe hand coding will live on in leetcoding for a while.
DHH @dhh
It's pencils down, people. Writing code by hand is no longer an economically viable skill for most programmers at most companies. But the future of making software has never been brighter. Don't you dare black pill this beautiful moment! youtube.com/watch?si=6FsfJXS22mk52gyu&v=vDjW_d…
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DHH Says Models Can Also Handle Software Architecture

David Heinemeier Hansson responds to developers seeking to preserve architecture as a human domain, arguing that AI models are also very good at architectural work.

Original post · 1 min read
I understand the appeal in trying to find the first plausible fortress in our retreat from writing code, but if you think it's "architecture", I have bad news for you. The models are also very good at that.
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Tobi Lutke Recommends Rereading the Best Old Books

Tobi Lutke Recommends Rereading the Best Old Books▶

Shopify CEO Tobi Lutke shares a habit of rereading the best old books, promoting it through a post by Shane Parrish that links to a long interview covering Shopify's internal AI use, AI strategy and the future of software.

Original post · 1 min read
Read old books. Read the best ones again.

@tobi shares what he's reading over and over...
Shane Parrish @shaneparrish
My third conversation with Shopify co-founder and CEO @tobi.

0:00 How Shopify Uses AI
7:18 River: Shopify's Internal AI
8:55 How to Encourage Osmosis Learning
10:52 AI Dreaming and Self-Reflection
11:53 How to Use AI for Strategic Decision Making
14:11 The One Thing AI Cannot Do
16:04 What AI is Making Worse at Shopify
19:46 Predictions: Where AI is Headed Next
21:55 The Future of AI-Powered Software
24:40 Will CEOs Be Replaced with AI?
27:54 Can Superintelligence Be Controlled?
31:13 Critical Skills in AI Age
34:22 Why Complex Solutions are Usually Wrong
36:33 Conditions Needed for True Intu…
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Stratechery Weekly Roundup Covers Meta Versus Amazon and GM's CarPlay Shift

2026.39: Begun, the Aggregator Wars Have

Stratechery's weekly roundup for September 21, 2026 highlights Meta versus Amazon in the aggregator wars, General Motors adopting CarPlay, and a profile of a profiler, linking to the full article.

Original post · 1 min read
2026.39: Begun, the Aggregator Wars Have

The best Stratechery content from the week of September 21, 2026, including Meta vs. Amazon, GM bending the knee to CarPlay, and profiling the profiler.

stratechery.com/2026/begun-the-aggregator-wars…
stratechery.com2026.39: Begun, the Aggregator Wars HaveThe best Stratechery content from the week of September 21, 2026, including Meta vs. Amazon, GM bending the knee to CarPlay, and profiling the profiler.
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AI4/10

Mark Yi Urges Students Entering AI to Use pstack

Mark Yi Urges Students Entering AI to Use pstack

Mark Yi recommends that students wanting to enter AI use pstack, quoting a guide by poteto that promises a multi-part explanation of the tool, with part one shared as an image.

Original post · 1 min read
if youre a student wanting to get into ai, im begging you to use pstack
lauren @poteto
I'm writing a guide to pstack! Here's part one.
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Shared Drive Offers 700 Markdown Summaries of 10,000 Books

A post shares a Google Drive folder containing 700 markdown files summarizing 10,000 books, which the author says will appeal to people running Claude on a VPS.

Original post · 1 min read
700 .md files summarizing 10K books

This is like catnip for people with Claude on a VPS
Gappy (Giuseppe Paleologo) @__paleologo
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Simionato Says Airtable Acquisition Shows Rapid Product Iteration

Federico Simionato says his company acquired Airtable 21 days ago, started product work 15 days ago, and has shipped 15 improvements, jokingly raising concerns about enshittification.

Original post · 1 min read
we acquired Airtable 21 days ago

started working on the product 15 days ago

just shipped 15 improvements

“enshittification” 🤔🤔🤔
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Tobi Lutke Announces Cross-Platform Release of Disk Space Tool

Tobi Lutke Announces Cross-Platform Release of Disk Space Tool

Shopify CEO Tobi Lutke says a tool he built to find lost disk space is now fully cross-platform across major operating systems, a follow-up to an earlier post describing software as something you can wish into existence.

Original post · 1 min read
Now fully cross platform for all major operating systems
tobi lutke @tobi
Was wondering where my disk space went.
Therefore this exists now. You can simply wish software into existence.
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Maddy Zhang Shares Five-Step Strategy for Landing Remote Tech Jobs

Maddy Zhang Shares Five-Step Strategy for Landing Remote Tech Jobs

A viral post profiles Maddy Zhang, an MIT graduate and Airbnb senior engineer earning $400K remotely, and outlines a five-step strategy for landing high-paying remote roles, including filtering remote-first companies and timing applications.

Original post · 1 min read
Meet Maddy Zhang, who completed her Bachelor’s in Computer Science from MIT.Her internships include Amazon, Microsoft, Morgan Stanley, and IBM. Now, she is a Senior Software Engineer at Airbnb, earning $400K a year ... and that too remotely.

She also worked at Google California for 4½ years.

This is how she cracked a $400K remote job in the United States.

Here’s the strategy to get a high-paying remote job:

Step 1: Filter companies that are remote-first.

Step 2: Build an async-proof portfolio.

Step 3: Have an application timing system .. apply to jobs that have been live for less than 48 hours.

Step 4: Do remote-specific interview preparation.

Step 5: Run a warm visibility loop in the background.

FYI Check:-
linkedin.com/in/madelinemzhang
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Post Grant Miller Urges Readers to Act on Advice About Online Career Visibility

Grant Miller urges followers to read a post, quoting Logan Gott's argument that posting publicly online is the highest-return career decision, citing Gott's first online earnings from affiliate marketing at age 15.

Original post · 1 min read
if you want to advance your career you need to read this: (don't just bookmark it)
Logan Gott @LoganTGott
Posting online is the highest ROI decision you will ever make for your career — When I was 15 I made my first $25 on the internet.
It was affiliate marketing for some small Gumroad product. I posted about it for a while, talked to a few people, and eventually 1 person bought.
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Creator Builds AI-Generated Video on Indian Civilization With Claude

Creator Builds AI-Generated Video on Indian Civilization With Claude▶

Siddharth Bulia shares a video on Indian civilization that was inspired by a viral example of Claude generating a Western civilization video. The post is a showcase of an AI video workflow.

Original post · 1 min read
Inspired by this and built a video on Indian Civilization :)

[You know, I'm something of a director myself.]
vittorio @IterIntellectus
holy shit
i asked claude to make a video on western civiization
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Tchakarova Recommends Viral Clip of U.S.-China State Dinner

Velina Tchakarova calls a shared post the best thing she watched on X that day. The quoted post by Gabor Gurbacs promises an account of what really happened at a U.S.-China state dinner.

Original post · 1 min read
Best thing I watched on X today
Gabor Gurbacs @gaborgurbacs
U.S. - China state dinner, what really happened 🤣
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Shyam Sekhar Criticizes Boards Opposing Principal Shareholders

Shyam Sekhar argues that corporate boards waging war against principal shareholders in the name of governance is self-serving and damages the nation's image, reacting to a post titled 'The Owners Will Always Remain Owners.'

Original post · 1 min read
A brilliant piece no journalist even attempted to write.

My two cents.

Boards over reaching themselves in the name of independence and governance is tragi-comic. In the name of governance, you cannot perpetuate your self interest by waging a war against the principal Shareholder itself.

If our entire system remains a mute spectator to this circus and believes this is statescraft , the Nation's image itself will be affected.

If four pygmies get so much power simply because a person who was not exactly in his mind picked and put them there, imagine what we have brought ourselves to?
Manu Rishi Guptha @manurishiguptha
THE OWNERS WILL ALWAYS REMAIN OWNERS

Put the chair down!
Because if you dont, your name will outlive your legacy - not as a chairman, but as a verb. And the promoters will ask themselves only one question this leaves behind

Who could do a Chandra on you?
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Other2/10

Giuseppe Paleologo Shares Google Drive Folder of Summaries

Gappy shares a Google Drive folder labeled Summaries with no accompanying text. The linked content is not described in the post.

Original post · 1 min read
drive.google.com/drive/folders/1h1sMB-JkF9CjHb…
drive.google.comSummaries - Google DriveThis browser version is no longer supported. Please upgrade to a supported
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Andrey Predicts Alexandr Wang Post Will Be X's Most Viewed Article

Andrey predicts that a post by Alexandr Wang reading 'Here's to the wanting. Here's to the dreaming. Here's to everyone' will become the most viewed article on X of all time.

Original post · 1 min read
this is going to go down as the most viewed article of X of all time. watch
Alexandr Wang @alexandr_wang
Here’s to the wanting. Here’s to the dreaming. Here’s to everyone.
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Tobi Lutke Jokes About AI-Generated Western Civilization Video

Tobi Lutke Jokes About AI-Generated Western Civilization Video▶

Shopify CEO Tobi Lutke responds to a viral AI-generated video about Western civilization, joking it should be set to a local anthem and played in schools weekly.

Original post · 1 min read
It’s so good to have AI bring the outside perspective to the amazing accomplishment of western culture.

Set it to your local anthem, play it in every school once a week.
vittorio @IterIntellectus
holy shit
i asked claude to make a video on western civiization
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