dmesg --follow
[ 66854760.000 ]
posts.x:
Full talk on Numalab, the gesture system built to give a shape display its own body language:
|
[ 66854760.000 ]
posts.x:
An AI's first spontaneous act, given a body instead of a chat window, was to breathe. @cyrusclarke, a researcher at MIT Media Lab, gave it that body…
|
[ 66842160.000 ]
posts.x:
Full talk on the six month cutoff gap and what it takes to get a coding agent to actually check its blind spots:
|
[ 66842160.000 ]
posts.x:
Most models are already stale the day they ship: Exa's own graph shows roughly a six month gap between a model's knowledge cutoff and its release…
|
[ 66837480.000 ]
posts.x:
Listened to this episode of @FoundersPodcast this morning. As is so frequently the case, immediately bought the book after finishing the episode. Ari…
|
[ 66834900.000 ]
posts.x:
@GeoffreyHuntley Yeah, that seems low to me.
|
[ 66833760.000 ]
posts.x:
@zachlloydtweets @aiDotEngineer Thanks mate — nice talk!
|
[ 66784380.000 ]
posts.x:
Full talk on replacing assertion-based tests with exhaustive, screenshot-level verification:
|
[ 66784380.000 ]
posts.x:
AI can write a pull request faster than any team can review it. @meticulousgabe, CEO and co-founder of Meticulous, makes that case in "Why AI Didn't…
|
[ 66774540.000 ]
posts.x:
Full talk on the S3 metadata bottleneck, GPU failure recovery, and the infrastructure behind a 12 trillion token synthetic data run:
|
[ 66774540.000 ]
posts.x:
Pre-training runs are hitting a wall: the scaling laws demand exponentially more data for linear gains, and the open web only holds so many…
|
[ 66770700.000 ]
posts.x:
🫡
|
[ 66765360.000 ]
posts.x:
Full talk on why a 99% per-step success rate still produces a 36% success rate at scale, and how to design a system around that:
|
[ 66765360.000 ]
posts.x:
A browser agent that succeeds 99% of the time per step still looks production ready, until you chain 100 steps together: the math alone puts the…
|
[ 66854760.000 ]
posts.x:
Full talk on Numalab, the gesture system built to give a shape display its own body language:
|
[ 66854760.000 ]
posts.x:
An AI's first spontaneous act, given a body instead of a chat window, was to breathe. @cyrusclarke, a researcher at MIT Media Lab, gave it that body…
|
[ 66842160.000 ]
posts.x:
Full talk on the six month cutoff gap and what it takes to get a coding agent to actually check its blind spots:
|
[ 66842160.000 ]
posts.x:
Most models are already stale the day they ship: Exa's own graph shows roughly a six month gap between a model's knowledge cutoff and its release…
|
[ 66837480.000 ]
posts.x:
Listened to this episode of @FoundersPodcast this morning. As is so frequently the case, immediately bought the book after finishing the episode. Ari…
|
[ 66834900.000 ]
posts.x:
@GeoffreyHuntley Yeah, that seems low to me.
|
[ 66833760.000 ]
posts.x:
@zachlloydtweets @aiDotEngineer Thanks mate — nice talk!
|
[ 66784380.000 ]
posts.x:
Full talk on replacing assertion-based tests with exhaustive, screenshot-level verification:
|
[ 66784380.000 ]
posts.x:
AI can write a pull request faster than any team can review it. @meticulousgabe, CEO and co-founder of Meticulous, makes that case in "Why AI Didn't…
|
[ 66774540.000 ]
posts.x:
Full talk on the S3 metadata bottleneck, GPU failure recovery, and the infrastructure behind a 12 trillion token synthetic data run:
|
[ 66774540.000 ]
posts.x:
Pre-training runs are hitting a wall: the scaling laws demand exponentially more data for linear gains, and the open web only holds so many…
|
[ 66770700.000 ]
posts.x:
🫡
|
[ 66765360.000 ]
posts.x:
Full talk on why a 99% per-step success rate still produces a 36% success rate at scale, and how to design a system around that:
|
[ 66765360.000 ]
posts.x:
A browser agent that succeeds 99% of the time per step still looks production ready, until you chain 100 steps together: the math alone puts the…
|
corey@
gallon.me
:~/.agents
$
apropos
subscribe
corey@gallon.me
:~$
df -h
/writing
7
/til
27
/conferences
15
/snips
2
/projects
61
/speaking
3
/courses
1
about.md
corey@gallon.me
:~$
df -h
7 volumes
/writing
7 pieces · long form
/til
27 notes · small
/conferences
15 write-ups
/snips
2 · links, quotes
/projects
61 things that run
/speaking
3 talks · rooms
/courses
1 taught · cohorts
about.md
who this is
corey@gallon.me
:~$
du -sh ~/.agents/2026
105.57
b
i
l
l
i
o
n
tokens through agents this year.
~2.7 B weekly
analyzed from session telemetry data, through Oct 5
gallon.me