ai & engineering at @particleapi / @particle_news. prev @syngspace.
Vancouver Island
Joined March 2007
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This is probably as much fun as I'm going to get out of this iOS api... #SwiftUI
Nudging iOS materials with some distance-dependent diffusion. Built with SwiftUI, Metal shaders, and math.
algaentic coding
we have a winner for the most absurd AI startup ever
this Peter Thiel backed company uses AI robots to stab fish in the brain so they taste better and last up to 3x longer
it's called Shinkei and it modernizes a centuries-old Japanese technique
dozens of Michelin-star restaurants are already lining up to buy the fish
here's how it works:
> the problem is when a fish gets caught, it usually just suffocates on the boat
> that stress floods the meat with hormones and lactic acid, which hurts the flavor and texture
> the old Japanese fix for this was spiking the fish through the brain right after the catch, which stops all that
> but doing it by hand is impractical for most American fishing crews
> so Shinkei built a fridge-sized robot that sits right on the boat's deck
> the crew feeds in a fish and AI identifies the exact species, so it knows exactly where the brain and gills are
> the robot then drives the spike through the brain and cuts near the gills in about 7 seconds
> the fish goes into an ice slurry so the blood drains out
> so the fish doesn't sit there stressing out, and that tasty flavor and texture is preserved
example number 5,392,417 of how AI can be applied to literally anything
ALT A gloved fisherman on a boat feeds a live salmon head-first into the steel intake of a white Shinkei Systems robot, with the ocean behind.
Playing a bit with fabric diffusion and light drift on L-system bamboo...
SwiftUI + Metal shaders on iOS.
I want to use this to let two Claudes talk to each other.
i love the glowing apple logo on the new macbook pro
so i made it dance to your music and blink when claude needs you
backglow.app
A programmatic komorebi effect on iOS made with SwiftUI + Metal. ☀️🌿
The shader samples 48 directions across the sun’s 0.53° disk. At a shadow’s edge, some rays make it past the leaves and some don’t. The farther from the surface the leaves are, the softer their shadows become.
Nate de Jager retweeted
Every spoken sentence carries depth.
Particle now exposes 4 dimensions for each line:
- sentiment 😁😔
- certainty 👍🤷
- specificity 🎯 👐
- temporality 🔮📈
These dimensions let your agents perform fast and complex queries about predictions and feelings.
Get started now: particle.pro?utm_source=sbx&…
Today we’re introducing Speaker Statement Characteristics.
Podcasts are full of predictions, criticism, and bold calls, but a keyword search can’t tell a confident forecast from a passing remark.
Now the lines Particle returns carry four labels for how they’re said: sentiment, certainty, specificity, and time. Stack them as filters to find exactly the statements you need, on any topic, across 165,000+ actively transcribed podcasts.
Available now via API and MCP.
Nate de Jager retweeted
Today we’re introducing Speaker Statement Characteristics.
Podcasts are full of predictions, criticism, and bold calls, but a keyword search can’t tell a confident forecast from a passing remark.
Now the lines Particle returns carry four labels for how they’re said: sentiment, certainty, specificity, and time. Stack them as filters to find exactly the statements you need, on any topic, across 165,000+ actively transcribed podcasts.
Available now via API and MCP.
Nate de Jager retweeted
Apple's Core AI models repo is now accepting third-party contributions 🥳
If you have developed some cool ports, this is the best place to share your recipes with the community. Looking at you @JackdeS11 @mattt @kevinqz 😂
github.com/apple/coreai-mode…
Nate de Jager retweeted
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
Nate de Jager retweeted
Xcode 27.2 ships with a new skill for agents to work with Instruments, as well as an update to the SwiftUI specialist skill. Love that my apps can get better just by upgrading!
Nate de Jager retweeted
You ask. It listens. It answers. 🎧
Introducing Ask Ray, with Radar by @ParticleAPI.
Ray goes to work over Particle’s corpus of over 3 million enriched podcast transcripts, to find the answers to questions that matter.
Get the first month of Radar free using promo code: ASKRAY
Learn more: particle.pro/ask-ray?utm_sou…
Nate de Jager retweeted
Today we’re introducing Ask Ray in Radar.
Some of the most useful insights from experts, founders, and analysts are said out loud on podcasts, but finding the right moments has meant hours of searching.
Now you can find those insights within seconds. Ray researches across 160,000+ actively transcribed podcasts and answers with the exact moments it found, so you can press play and hear them for yourself.
First 100 people to sign up with code ASKRAY get their first month free.
