I wanna talk a bit more about @cmuratori's excellent terminal rendering demo.
https://t.co/uzNM1tOzS9
There isn't too much too it, Muratori shows that terminal rendering can be 10-100x faster than windows terminal for outputting large files with a simple solution.
The only statement Tony Blair should be making is a plea of "guilty" from the dock at The Hague.
He is a war criminal with the blood of over a million Iraqis on his hands.
78 years ago, 800,000 Palestinians were expelled from their homes. Britain made it possible.
Today, Israel is committing genocide in Gaza. Britain made it possible.
78 years of the Nakba - and 78 years of British complicity in crimes against the Palestinian people.
There's a common misconception that Brutalist buildings were unpainted, but thanks to microscopic analysis of the exteriors we can now recreate what they looked like in their prime.
@rfleury We crossed some kind of Complexity Threshold in the 2010s where this stuff just became much harder to manage. I don't think having a business-model based on nostalgia is a good long-term plan but I can't blame them for doing this, it's pretty sensible considering their options.
@rfleury The typical game project takes like 7 years now and costs like $50 -$100 million dollars (before marketing). A big ass-content rich game like an elder scrolls probably more.
New games are very high risk, beloved old games are low risk and help offset the risk of new stuff.
@TheOGZaxthan@aabbereos40875@RiotAugust She gets resistences for killing minions and monsters but uh.... doesn't everyone get that? From XP? So her passive is "Some of your normal level up progression is moved to your passive."... cool, what an exciting ability.
@cmuratori@DemetriSpanos It seems like the previous limiting factor was model size (compute) and amount of data. When that was broken we saw a massive, rapid improvement (as you'd expect). What factor, if removed, would lead to a similar massive 10-100x improvement in the quality of model outputs?
@cmuratori@DemetriSpanos Is it possible / acceptable to submit questions for upcoming episodes?
I'd like to ask Demetri : "What is the current limiting factor on the improvement of model performance? And how difficult is that factor to address?"
If I'm right that means no AGI anytime soon. It means models will continue to improve but at some rate less than moore's law until we identify and break the new constraint.
I have an AI theory. It's totally uninformed.
LLMs were bottlenecked on scale. (amount of data, amount of compute). We broke that bottleneck a few years ago and we got what you get when you break a constraint. HUGE IMPROVEMENT REALLY FAST but...
So my totally uninformed theory is that model performance improvement has slowed and the limiting factor is something that's not easy to remove. Either it's WAY more hardware, or WAY more data or a new breakthrough in understanding of AI or some other factor.
i can't believe nobody caught this.
Anthropic's entire growth marketing team was just ONE PERSON
(for 10 months, confirmed)
a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude
here's exactly how one human is doing the job of a full marketing team:
it starts with a CSV.
1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc)
2. feeds the whole file into claude code
3. and tells it to find what's underperforming.
claude analyzes the data, flags the weak ads, and generates new copy variations on the spot
this is where he gets clever:
he then splits the work into 2 specialized sub-agents:
1. one that only writes headlines (capped at 30 characters)
2. and one that only writes descriptions (capped at 90 characters).
each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt
so now he's got hundreds of fresh headlines and descriptions.
but that's just the text.
he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc.
so he built a figma plugin that:
1. takes all those new headlines and descriptions
2. finds the ad templates in his figma files
3. and automatically swaps the copy into each one.
up to 100 ready-to-publish ad variations generated at half a second per batch.
what used to take hours of duplicating frames and copy-pasting text by hand
so now the ads are live.
the next question is which ones are actually working.
for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API.
so he can ask claude things like:
• "which ads had the best conversion rate this week"
• or "where am i wasting spend"
and get real answers from live campaign data without ever opening the meta ads dashboard
and the part that ties it all together and closes the loop:
he set up a memory system that logs every hypothesis and experiment result across ad iterations.
so when he goes back to step one and generates the next batch of variations...
claude automatically pulls in what worked and what didn't from all previous rounds.
the system literally gets smarter every cycle.
that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track
the numbers from the doc:
ad creation went from 2 hours to 15 minutes. 10x more creative output.
and he's now testing more variations across more channels than most full marketing teams
a $380 billion company.
and their entire growth marketing operation (not GTM) = just one person and claude code lol
truly unbelievable
@ThePrimeagen This is for people who have a meeting that's important enough to prepare for ahead of time but not so important that a few hallucinations will matter?