If you are an engineer or scientist or doctor turning to business, the first thing I would suggest is "Please go on a lot of sales calls, face rejection if necessary, but persist".
You will develop better communication skills as you realise that explaining your ideas is not so easy.
You will develop respect for sales people.
You may even become good at business!
There is no such thing as a business without selling something. Sometimes the most obvious thing has to be said!
This:
"However, the current AI systems are ideally suited to exploit the unused potential in the already existing literature. There must be thousands of discoveries that lie in connecting the dots, which no one has made because no human can have an overview over the existing scientific publications."
I'm having a lot success using Fable xhigh as a planner/architect, using GPT 5.5 xhigh (subscription) as a coder, then Fable xhigh again as a judge. At API pricing, planning+judge costs are in the ~few dollar range compared to typical $50+ full round trips.
I've seen some others using dumber/cheaper coders, but GPT 5.5 even at xhigh compared to Fable 5 is very cheap and very fast. And GPT 5.5 is just... really good.
Still been less than 24hrs since the re-release so the longevity of this approach is unclear, but its been working really well.
Most CEOs are way too media trained
They end up sounding like corpo bots in interviews
It’s so much better to just talk how you talk. You’re allowed to have a personality
Everyone is scared to say something “wrong” but, generally, tedium and irrelevance are far greater risks
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching.
Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work.
Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task.
Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented.
Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted.
Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect.
The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable.
Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.
Shared rituals are incredible for cult building. A few reasons:
1) rituals turn spectators into participants. Taking action as part of a group cements group membership as part of your identity
2) doing something silly or slightly embarrassing together is great for group bonding. Similar to inside jokes drawing a line between “us vs them”
3) synchronizing with others, especially in an emotionally charged environment (concert singalongs, fan chants, church service), feels unifying and euphoric
4) actions that can be easily mimicked are very mimetic. Think “hook em” or the “six seven” hand thing, or 🫰
I gained so much appreciation for Dax after spending a few hours with him and realizing he's one of the very few devs who spends 95% of the time thinking, then 5% of the time building. It's counter-intuitive, until it's not.
1.5hrs of this shared btw: https://t.co/fHPSzLtWq1
Anduril has the most admired brand in defense tech and some of the best marketing in any industry
From “Don’t Work at Anduril” to “Fight Unfair,” marketing lead @JeffMillerTime is building a playbook worth studying
I get asked constantly about how they do it. Here it is:
At this stage, I think it is undeniable that Revolut will be a $500BN company. (I do not say that lightly).
They are a compound startup.
They try 20 new products at a time.
They create small 8-10-person teams for each product.
They "invest" $2M into each team.
They give them 24 months to execute.
They monitor them on a weekly basis according to a set of agreed KPIs.
What works, they double down on.
A machine. 👇
Buy versus build: what are your lessons?
"Just because you can build something doesn't mean you should.
The best companies are ruthless about focusing on the few things they uniquely own and do better than anyone else.
If it's not core to your business or competitive advantage, outsource it and stay focused on what matters." @matanSF
Single biggest advice to founders on build vs buy @benioff@bhalligan@sama@MaxJunestrand
Chase revenue.
Not awards. Not investors. Not incubators. Not any other vanity metric.
Until you've hit PMF and scale, forget all of it.
It's never been easier to bootstrap your way to success. Anyone saying otherwise has talked themselves into a story that lets them off the hook.
It's when things aren't working that you reach for pseudo signals like panel seats, pitch competitions, and accelerators.
They feel like progress, but they're not. And they don't pay the bills.
"The first principle is that you must not fool yourself, and you are the easiest person to fool." - Richard Feynman
A dozen words of framing made people describe a Monet as “garbage” that was “inferior” to the original
How you present a launch is as important as what you’re launching; people react to the story before the thing itself
Fumble the framing and people will reject even a Monet
Having been part of the industry for 50 years, I can confidently report that none of this is true.
Sure, writing code has a non-zero cost; this is true of any artifact.
But you know what costs even more, Jonathan?
Writing bad code; writing unnecessary code; writing more code than you really need simply because you think you might need it someday or you are too lazy or sloppy to clean up after yourself.
Anything that costs nothing is often worth nothing as well, and results in significant unintended consequences.
Software is not a moat
Over the last 15+ years, nearly every innovation @EvanSpiegel and his team shipped got copied. Stories. AR glasses. Swipe-based navigation. The camera-first interface.
And yet @Snapchat is the only independent consumer social app that has lasted. Nearly 1 billion MAUs. ~$6B in annual revenue. Over 8 billion AI photos shared on Snapchat *every day*.
In our in-depth conversation, we discuss:
🔸 Why distribution—not product—is now the biggest challenge for startups
🔸 How Snap keeps inventing with a 9-to-12-person design team
🔸 How AI is changing the way designers work
🔸 Why humanity's comfort with AI will be a bigger bottleneck than the technology
🔸 Why Evan is calling this year a "crucible moment" for Snap
Listen now 👇
https://t.co/2KO5eH2GHC