@KarimJDDA

Director of Engineering @ Parity Technologies

 🥔
karimjedda.com
Joined February 2012
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My article on Rust is trending on HackerNews, and this time I didn't post it! Would anyone be interested in a video series on this? karimjedda.com/carefully-exp…

Carefully exploring Rust as a Python developer

Trying out the Rust programming ecosystem as a 10+ years Python developer. How to do common programming tasks and how the tooling looks like.

karimjedda.com
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Karim Jedda retweeted
PlayCanvas
@playcanvas13h
Generated by the insanely powerful Echo-3 world model. Rendered by the open source PlayCanvas Engine. 🤝
David Novotny@davnov13416h
🌍 Introducing Echo-3, a new world model enabling the most accurate reconstructions of real spaces to date! From a quick phone video of my daughter’s room, Echo-3 built a 3DGS model and restyled the whole house with her favorite fairy tales 🚀✨. Get the app and try it out!
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What, @X adding 402 payments? 👀
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We taught machines by taking everyone's data and now people are asking those machines how to stop the taking. I think that's poetic. AI redemption arc.
log4j
@log4jOct 23
turns out it classifies what audio it hears, before reporting back to samsung. sensor preferences, dog-barking and baby-crying event counters, and camera streaming duration are built into telemetry paths.
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so when everyone thought Facebook was spying through your phone it turns out tv makers were the ones doing it all along, this is a nightmare
log4j
@log4jOct 23
turns out it classifies what audio it hears, before reporting back to samsung. sensor preferences, dog-barking and baby-crying event counters, and camera streaming duration are built into telemetry paths.
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Bazzite + SteamVR work out of the box with the Steam Frame. Pretty neat.
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Karim Jedda retweeted
Kimi.ai
@Kimi_MoonshotOct 23
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
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DeepSeek
@deepseek_aiOct 20
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 github.com/deepseek-ai/DeepI… 1/4

GitHub - deepseek-ai/DeepInfer: DeepInfer: High-performance, large-scale inference framework for...

DeepInfer: High-performance, large-scale inference framework for DeepSeek models - deepseek-ai/DeepInfer

github.com
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Karim Jedda retweeted
DeepSeek
@deepseek_aiOct 17
🚀 DeepSeek-V4.1-Flash-1017 is here! Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API. 🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model. 1/4
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Arthur Mensch
@arthurmenschOct 16
Should Europe leave frontier AI to the Americans and the Chinese? The idea has gained ground in Europe. It is a fundamental mistake. Build or surrender: for now, the choice is still ours. Full article below.

Build or surrender

Article · @arthurmensch
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Mark Zuckerberg
@finkdOct 15
Muse Spark Open -- weights releasing today -- runs great on new Mac Studios thanks to work with @johnternus and Apple.
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Mistral AI
@MistralAIOct 6
Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.
🤖 Made with AI
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25 engineers ran a self-hosted open-weight model for one month, generating 13 billion tokens. But our trial continued running because people kept using it, unprompted. Along the way, we uncovered real insights into owning our own AI infrastructure: cost, availability, model choice, data, and future capabilities, instead of depending entirely on external providers. parity.io/blog/self-hosted-a…

Testing Self-Hosted AI for Software Engineering: What Parity Learned from 13 Billion Tokens |...

Parity’s engineers tested open-weight AI models through a self-managed inference stack. Over one month, 25 engineers generated nearly 13 billion tokens. Here’s what they learned.

parity.io
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Self-hosted open-weight / open-source AI is very viable, we now have data. Thanks to everyone advancing the "frontier" and specifically thanks to the @deepseek_ai for releasing such amazing models which we tested here. We'll test more!
Polkadot Devs
@PolkadotDevsSep 23
What happens when you give 25 engineers a self-hosted AI stack and leave it running? Nearly 13 billion tokens later, @paritytech learned a lot about model choice, cost, capacity, and what AI infrastructure looks like when engineers control more of the stack. parity.io/blog/self-hosted-a…

Testing Self-Hosted AI for Software Engineering: What Parity Learned from 13 Billion Tokens |...

Parity’s engineers tested open-weight AI models through a self-managed inference stack. Over one month, 25 engineers generated nearly 13 billion tokens. Here’s what they learned.

parity.io
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Today is the 21st of September.
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Karim Jedda retweeted
Aaron Francis
@aarondfrancisSep 19
I'm very sensitive to this feeling, cause I've been there. Someone does something cool, gets a lot of attention, and you're frustrated cause you already did it, a while ago. It's not enough to do things, you must also tell people. Maybe it's not fair, but it's true
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Rohan Bansal
@polyphilzSep 16
Did you know tiny models are capable of out-planning a database? I trained a 4B model to produce 81% faster query plans than Postgres. Write-up below 👇
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Bastian Köcher@bkchrSep 10
Almost 7 years apart, Cumulus is taking it next step to #JAM. Parachain service is doing its first steps. @Polkadot
Bastian Köcher@bkchr22 Oct 2019
#Cumulus runs the first #Parachain :) @polkadotnetwork
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DeepSeek
@deepseek_aiSep 10
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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Karim Jedda retweeted
peetzweg/@peetzwegSep 3
The OpenDisplay macOS Receiver app just dropped. It supports mac back to macOS 12!
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What's even more impressive is the massive amount of compute / free tokens that was deployed. Is this model running on custom chips? 👀
Bloomberg
@businessAug 26
The new AI model that’s swept to the top of online usage charts with high performance at zero cost was created by China’s Z.AI, also known as Zhipu bloomberg.com/news/articles/…
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Confirmed, running on Chinese AI chips. 👀👀👀👀👀
Z.ai
@Zai_orgAug 26
Introducing GLM-5.3-Flash - Leading capabilities at a highly competitive price - Natively multimodal with a 1M-token context window - A 320B-A18B model released under the MIT License - Previously previewed as Ox Alpha, running entirely on Chinese AI chips Blog: z.ai/blog/glm-5.3-flash Available now across all official platforms: Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.3… Coding Plan: z.ai/subscribe ZCode: zcode.z.ai/en Chat: chat.z.ai AutoClaw: autoclaw.z.ai
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