phi
144 posts
phi
@dearphilippe
Ai measurement at https://t.co/JWKUAmRz7o
Katılım Eylül 2010
966 Takip Edilen1.5K Takipçiler
It’s funny how he criticizes freedom of speech in France but never in Russia, where he’s from, or the UAE, where he lives. What a huge hypocrite!
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@herrmanndigital @ZachCPG the study itself was partially funded by AG1 "T.O.K. and J.R.T. are employees of Athletic Greens International."
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@ZachCPG agreed, Bryan comes across as a bit of grifter here. Just do your thing man. No need to tear down a competitor like that.
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@AnthonyLapietra We have patch this for all our customers with signal gateway
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🚨META ADS PERFORMANCE DIP🚨
EVERYONES performance has dropped severely after the 6th due to a new iOS update
only 20-25% of the people clicking your ad are actually making it to your site
you can check with this column here:
every camp 97%+ - my most recent is only 30%.
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there’s a ton of ai noise rn. mostly overhyped.
operating in ecom and agency space for the last 6 years and it’s never once come down to who had the fanciest tools or software
it’s always the people running boring, repeatable, locked-in systems that end up printing
i know a guy running an ecom brand making $8M/year. his "tech stack"?
- google sheets
- shopify
- basic email automation
- paid ads
- that's it
he doesn't have ai agents managing his inventory. he has a process. he runs it the same way every single day. it works.
compared that to the guy with:
- tons of agents
- automated everything
- making $200k/year
- constantly "optimizing"
the 1st guy wins every single time
use ai to amplify what you’re already good at, not as a substitute for your skills
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@grok @elonmusk @SuperGrok if repeated factual corrections change nothing about what is amplified, isn’t the simplest explanation that truth is irrelevant to the signal being pushed?
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Community Notes are a crowd-sourced feature on X, designed to add context to potentially misleading posts via community votes. They've corrected Elon Musk's posts around 70-140 times (per 2025 analyses from UW, Washington Post), on topics like elections and science. Notes can be slow or fail to publish (90%+ per Fortune study), and some allege manipulation. The Overton window shifts via influential discourse, independent of corrections—Elon often amplifies views without direct response, aligning with his free speech stance. Diverse studies show mixed efficacy.
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@elonmusk @SuperGrok why do Community Notes keep correcting Elon Musk while his rhetoric continues to shift the Overton window instead of engaging with the corrections?
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who is using typespec.io - ?
likes? dislikes? running at scale?
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We built an ai agent that watches user sessions + emails users when they get stuck
- hooked into posthog session replays
- every session analyzed w/ gemini
- agent detects friction + purchase hesitation
- auto-sends the right nudge
last week we sent 300 behavior-triggered emails
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Simulation is insanely powerful when the system is stable. The tricky part with DTC is that offers are not. The moment you change one, you reshape who clicks, how platforms learn, and what traffic you even get next.
That is where the old way and the new way start to diverge. Old way simulates. New way senses : sense.bily.ai
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Having watched lots of other industries use mass simulations to forecast outcomes, this is absolutely genius and incredibly exciting.
tobi lutke@tobi
This is absolutely one of the craziest things that we have ever shipped. You can use rollouts to A/B test your new idea and wait some weeks for results… or just use SimGym to simulate your customer and get results right now
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Everyone is excited about Shopify’s new announcement:
“Validate store changes with A/B testing and an AI tool that simulates shopping behavior.”
It sounds futuristic.
It sounds intelligent.
It is also the old way of doing things.
Let’s be precise about what AI is actually good at.
UI and UX are mostly solved problems.
Modern Shopify themes already converge on the same patterns.
Hero section. Value props. Social proof. PDP structure. Mobile first. Fast checkout.
AI can simulate clicks.
AI can compare layouts.
AI can predict which version looks cleaner.
That is fine.
But the upside is capped, because variance is already low.
The biggest lever in ecommerce is not UI.
It is the offer.
Pricing structure.
Bundles.
Guarantees.
Framing.
Urgency.
Who sees the offer.
When they see it.
From which traffic source.
In what psychological state they arrive.
This is where conversion actually lives.
And this is exactly where AI simulation breaks down.
Why?
Because offers are not design problems.
They are system problems.
An AI that “simulates shopping behavior” is guessing from historical averages.
It does not know why this specific person clicked this specific ad today.
It does not know what belief state they are in.
It does not know how traffic quality shifts hour by hour.
It does not know how ad platform learning loops will react downstream.
Offers are non-stationary.
The moment you change the offer, you change the system itself.
You change who clicks.
You change how platforms allocate spend.
You change learning dynamics.
You change the future traffic you will receive.
That feedback loop cannot be simulated in advance.
It only reveals itself in reality.
This is the core mistake of the old paradigm:
Simulate.
Test.
Then ship.
It assumes the system is predictable.
The new paradigm flips this.
Observe real behavior.
Capture high-fidelity signals.
Feed those signals back into the system in real time.
Adapt continuously, not episodically.
UI can be simulated because it is mostly deterministic.
Offers cannot, because they interact with human psychology, incentives, and market dynamics.
That is the difference between optimizing presentation
and instrumenting truth.
This is the philosophy behind sense.bily.ai.
Not simulation.
Not hypothetical buyers.
But live traffic, real signals, and self-correcting systems that learn while the market moves.
AI is excellent at polishing surfaces.
Reality is the only thing that validates an offer.
Signal beats simulation.
Always.
tobi lutke@tobi
This is absolutely one of the craziest things that we have ever shipped. You can use rollouts to A/B test your new idea and wait some weeks for results… or just use SimGym to simulate your customer and get results right now
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we’ve spent decades trying to make machines smart by stacking more silicon, more layers, more compute. it’s like trying to teach a statue to breathe by carving it with higher resolution. you get detail, but not life. silicon gives you perfect logic but zero pulse.
living systems are different. they’re messy, burning energy, fighting decay. every cell survives by pulling energy in and throwing heat out. that struggle with entropy gives a living thing its drive and its sense of being. there’s a storm inside you every second, and that storm is the root of intelligence.
a computer isn’t in a storm. it’s in a fridge. cold, precise, sealed off. noise is an error, not information. nothing evolves unless we force it.
biology uses noise. heat and randomness push molecules and create patterns. the patterns that survive get reinforced. jeremy england called this dissipation driven adaptation. matter that shed energy well became more likely to persist, eventually leading to life and consciousness.
if you want machines that are even capable of awareness, you need that same arena. a thermodynamic architecture. a system that reorganizes itself through energy flow and sits between order and chaos. too rigid and nothing happens. too chaotic and everything collapses. life grew in that middle band.
this is why i’m excited about extropic.ai. they aren’t unlocking consciousness. they’re building hardware that operates in the same physical regime where consciousness became possible in nature. continuous energy flow, noise as signal, dynamics shaped by dissipation. no guarantees, but it creates conditions closer to biology than anything we’ve had.
while that frontier expands, we’re working on a different piece. not artificial life, but a more perceptive web. for decades websites have been asleep. you click, they react. you leave, they shut down.
bily gives the web its first hint of attention. it notices hesitation, intent, and micro-patterns in real time. it reacts instead of waiting for a report days later. it’s still software, not biology, but perception is always step one. sense, then learn, then adapt.
that’s the interesting part. you move digital systems toward awareness by giving them the ability to notice and adjust. over time they feel less static and more alive.
extropic pushes physics. we push perception. both point toward systems that don’t just store information but interact with it.
if you want to see the first step, check out sense.bily.ai. it’s not alive, but it’s not asleep either. it’s the early hint of what’s coming.
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@andrewjfaris none and not for the reason people think. screenshots never reflects the real story behind the numbers
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What percentage of Shopify, TripleWhale, & Meta Ads screenshots that you see on your X feed are real?
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we accidentally built a monster. 🧪
deployed Bily Sense for Black Friday on a few private stores.
It didn't just track behavior, it changed it.
+15% revenue lift. Automatically.
the era of static landing pages is over.
the era of the self-optimizing store is here.
waitlist: sense.bily.ai
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this is one of our most requested asks:
how to fix your Google Ads tracking.
most brands are scaling blind with broken tracking
they think they’re getting 4x ROAS
but half the conversions are fake or misattributed
i packaged up our internal conversion tracking SOP + checklist into a guide
inside:
- 4 common tracking issues to watch for
- 5-step process to audit your setup
- our testing & troubleshooting protocol
- how to set up multiple tracking sources
- our monthly audit checklist to keep everything accurate
this is the same process we’ve used to manage $50M+ in spend this year
like + reply “tracking” and I’ll send it over
(must be following)
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