tested new Claudflare CLI that fully supports agents
rly cool, whole claudflare in one prompt.
prompt: "set up support@ email for my domain"
- remove 6 old mail records
- turn on email Routing (MX, SPF and DKIM added automatically)
- create the rule and add DMARC
- test email arrived a few minutes later
more in article:
blog.cloudflare.com/cloudfla…
live dashboard showing how it works on the Uniswap V3 WETH/AAVE pool (2x speed)
finally added full @base history indexing to Sieve!
no archive RPC needed anymore to get old events on Base.
Sieve pulls history straight from Base public snapshot archives, then switches to P2P.
- archive-plan: estimates which archives your block range needs + disk space
- downloads them, verifies checksums, keeps only your events, deletes the raw files
- catches up the gap from Base peers (each block confirmed by 3+ peers)
- switches to follow mode and indexes new blocks live
if you build on Base and need events, you don't have to pay for RPC!
finally added full @base history indexing to Sieve!
no archive RPC needed anymore to get old events on Base.
Sieve pulls history straight from Base public snapshot archives, then switches to P2P.
- archive-plan: estimates which archives your block range needs + disk space
- downloads them, verifies checksums, keeps only your events, deletes the raw files
- catches up the gap from Base peers (each block confirmed by 3+ peers)
- switches to follow mode and indexes new blocks live
if you build on Base and need events, you don't have to pay for RPC!
New “dots” is @openclaw ?
Announcing dots. Dots work 24/7 for you, learn from your feedback, have their own computer, browser and can be connected to over 4k apps in our ecosystem.
They’re powered by Astra our best model yet. Included in your Pro plan, without drawing down on any of your usage. You can even call a dot while it’s working.
We’re getting you started with your primary dot today and soon you’ll be able to create entire teams of them.
idk why people say that new opus5.5 has like an unlimited quota.
normal use in ONE project (complex one), several instances, loops etc
Thursday morning Max x5 plan will be drained...
soldered and tested
first run in the car failed :) spent a while debugging...
turned out i plugged the HAT into the wrong row of the sticks header, heh
now it runs smooth, ~2k frames/s
0 dropped frames in 5 min
driving will show how numbers behave on the road
previous setup was too complex
esp32 + CAN + dc-dc, and the stickS3 read it over wifi
so I designed a HAT for @M5Stack StickS3
it powers the stick from the car's 12V and converts CAN signals for the stick
i believe it's way more handy than a separate dongle
case is printed
time to solder and test
everyone is training fruit flies to do some crazy stuff, but what if we don’t train one at all and put part of its connectome on an ESP32-S3... lets try
here is what I was able to fit on it:
- 48,311 neurons
- 9.46M connections
no training, and it runs fully on the chip
spider approaches then escape neurons activate and the fly jumps
it works! fly connectome with simplified neuron dynamics
the bars on top show escape neuron activity for each side
the simulated spiders distance and direction stimulate the fly’s looming-detector neurons.
activity travels through the connections, then I read 8 escape neurons
when one side crosses a threshold, it triggers a jump away from that side (not always perfect)
I coded the world, sensory input and jump rules
but the connectome produces the neural response
and seeing it in action on this tiny board is sooo cool!
previous setup was too complex
esp32 + CAN + dc-dc, and the stickS3 read it over wifi
so I designed a HAT for @M5Stack StickS3
it powers the stick from the car's 12V and converts CAN signals for the stick
i believe it's way more handy than a separate dongle
case is printed
time to solder and test
connect @M5Stack StickS3 to esp32 to decode tesla CAN bus.
this is the first test, definitely a lot of room for improvement.
in dbc insane amount of data that can be rendered on device.
but probably everything that you want to know is power consumption/charging and bms data.
kudos to @steveruizok
Jev by @typesafeai in action!
20.7k YouTube comments classified in 2m 27s for just $0.20
- p50 319ms, p95 556ms per comment
- 140 comments/sec
- sentiment + emotion + intent + spam/toxic, each with confidence
mostly Apple WWDC videos
and results are kinda funny:
43% negative
#1 intent is criticism (5.1k)
my classification rules are probably not ideal...
but you can tweak them and rerun the whole batch for 20 cents! LFG!!
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
this is so much fun, remember Crimsonland?
lets take Zig version from @banteg Crimsonland rebuild and put it on an iPad mini 1st gen from 2012 !
A5 / 512 MB RAM / iOS 9.3.5
~90k lines of Zig, not rewritten, ~100 lines of iOS patches
Zig -> C -> Xcode clang for 32-bit ARM
custom raylib iOS backend, OpenGL ES 2
touch sticks
sound works
60 fps, ~60 MB RAM
don't throw away your old apple devices!
this is an iPad mini 1st gen from 2012!
it can't run anything, modern apps dropped iOS 9 long ago.
so what do you do with this hardware + Claude... heh
once you get ssh access, you can build any app you want.
mine is now a native Home Assistant wall panel.
(HA app doesn't support iOS 9, and the web dashboard breaks in old Safari)
and the best part:
you can grab one on ebay for ~$30-50,
same price as a popular esp32 IoT board :)