Kory Mathewson (@korymath) header
Kory Mathewson (@korymath) profile picture

@GoogleDeepMind generative AI models + agents | getting great tech into the hands of great creative people

Find me onstage and online
Joined January 2009
Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)Photo by Kory Mathewson (@korymath)
there's lots of new folks around here lately, so a quick (re)intro 👋 im Kory, Research Scientist at @GoogleDeepMind working on generative AI models and agents i've spent ~10yr doing live theatre comedy alongside machines (my hair is ... shorter now) always trying to get great technology into the hands of creative people if this resonates, say hey and tell me about what you are building...
13
4
109
5,583
🤖 Made with AI
1
5
396
wild how far "just predicting the next token" goes
1
2
17
1,857
how to spend 10 minutes laughing with friends tonight: 1. open Talk Generator (freshly rebuilt and back alive thanks to @thomas_wint) 2. type the dumbest topic combo you can think of 3. hand someone the laptop and make them present all 7 slides with a straight face I just tested it on three prompts and got: - "Feudal Fiefs: Raccoon Economics, Parallel Parking, and Cheese" by Dr. Arthur Procyon (Slide 2 compares the medieval manor system to urban raccoon trash-can territories in rainbow 1997 WordArt) - "Sourdough, Mars, and Geese: My Life in Three Bites" by Rye Sourdough, Chief Fermentation Philosopher & Goose Whisperer - "Why I Joined a Penguin Cult" on a classroom chalkboard ("Slide 5: Two Truths and a Waddle") Shoutout to @thomas_wint for keeping this weird corner of creative AI alive for 8 years and making it funnier than ever.
2
1
7
719
🤖 Made with AI
4
425
computer science 1950--2022: eliminate all non-determinism computer science 2026: set temperature=0.8 and see if bug vibes mellow, if not ask computer to try something random
29
148
12
2,422
95,935
10 years ago computer vision was "can this convnet tell a chihuahua from a blueberry muffin at 64x64" now we get mad if a video model can't render a raccoon in a tuxedo parallel parking a 1997 Honda Civic in the rain while its reflection in the puddle obeys Snell's law and honestly we're right to be mad
21
38
1
1,050
27,340
half-baked ideas used to look half-baked
5
1
1
44
2,682
I'm looking for a Student Researcher (BS/MS or PhD) to join me at @GoogleDeepMind Montreal! We're working to get the best generative AI into the hands of the best creative people and pushing models past current frontiers for media & entertainment. Links & how to apply 👇
12
34
6
437
32,323
language was only ever a workaround for not having write access to each other's weights
5
12
4
95
7,358
Huge
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.…
12
1,286
human-in-the-loop └ human-on-the-loop └ human-near-the-loop └ human-cc'd-on-the-loop └ human-legally-liable-for-the-loop
124
723
93
8,955
262,000
I live in @Montreal and work on artificial intelligence. So, this story sits right in my backyard on Mount Royal. Get this --- at the bottom of the mountain in 1949, @mcgillu psychologist Donald Hebb proposed a learning rule behind modern neural networks ("cells that fire together, wire together"), then ran secret sensory-deprivation studies for Canada's military... Four hundred meters up Peel Street, inside a Victorian stone mansion called Ravenscrag, Dr. Ewen Cameron read Hebb's results and tried to wipe psychiatric patients' minds clean and rebuild them with under-pillow tape loops, funded by both the CIA (MKUltra Subproject 68... yea, for real) and Ottawa. I've been writing lately about why artists and Canadian stories need to be part of how we build with AI, and I wanted to see if I could make a short piece of local history .... So, here's my first attempt at directing a ~5-min historical microdrama using @GoogleDeepMind Gemini 4 Argon and agentic tools in @antigravity ... Over 12 versions, - I ran subagent film and sound critics - generated dozens of archival motion shots with Gemini Omni 1.1 Flash - cast a weathered narrator and 1949 sleep-record voices on Gemini 3.8 TTS - wrote a Python 48 kHz stereo foley mixer so Peel Street church bells, Ampex tape splices, and under-pillow ghost loops landed cleanly ducked under the narrator's breath pauses... Twelve iterations and 300 seconds of generated video later, the total Gemini API spend was about $35... I present... RAVENSCRAG
3
2
14
985
the models get better. and my favourite kind of coding remains spending three late nights building some tiny web interaction to make two friends laugh in a group chat
2
2
14
812
Sometimes multi-agent swarms remind me of bad improv: three models enthusiastically "Yes, And"-ing each other's hallucinations into a confusing 400,000-token rat hole
4
1
44
2,352
generating real human laughter remains AGI-hard when 80% comes from spontaneous conversation? why does most AI humor research focus on written jokes? it was an honour and privilege to publish alongside long time creative collaborators @Boydbranch, Gunter Lösel ( at @zhdk), @PiotrImprov, and @thomas_wint!
1
1
1
8
1,474
out now in the Studies in American Humor: "In and Out of the Circle of Expectations." drawing on a decade of live @improbotics shows, we look at a funny paradox: early glitchy generative models were often funnier onstage than modern AI, for all kinds of reasons! scholarlypublishingcollectiv…
2
2
6
305
Fantastic read… thanks for posting cheap (time/$) AI-augmented execution changes the software career ladder… I see junior engineers shipping working prototypes moving faster than senior engineers who protect processes
The coding interview is dead, at least for my team at Anthropic. I've seen enough to know that it no longer provides signal. I removed it from loops this month. I have a spicy, optimistic take - I think there's an opportunity for junior engineers: felixrieseberg.com/hunger-be…
2
2
6
1,184
I’m still amazed at what Google's Gemini 4 Argon can do... ive not done much game dev, but it's been so fun and easy to build a simple, low-key game Pop The Balloon 🎈 and shaping it around real player feedback. Link to play + join the Android beta below 👇
3
2
712
Play on iOS or Web, or join the Android beta (apparently I need 12 testers to unlock Google Play!): korymath.github.io/pop-the-b…
1
2
245
alright... let's do it. what's one piece of advice you'd give your younger self at that age?
i’ve found myself using Genie 4 to have conversations with younger versions of myself... here’s me talking to myself just out of college. i was pretty naive, but not a whole lot has changed :)
3
862
Sunday Spicy Take 🌶️ You learn more about a frontier model in five minutes of trying to get it to write a weird joke than from 40 bold numbers in a benchmark table
2
7
994