scan. focus. act. (regards to JC) for people/planet/profit. Be all you can be! Start with WHY! @longnow @diyrobocars @heavy02011@mastodon.scot
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Joined January 2011
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Rainer Bareiß retweeted
Just installed gpt-oss:20b on my M1 Macbook Pro and it took 21 minutes to produce a response
Rainer Bareiß retweeted
Done ✅
Rainer Bareiß retweeted
Apple team shows self-driving AI can learn entirely by practicing against itself - no human driving data needed.
In testing, their system averages 17.5 years of continuous driving between incidents, far surpassing humans. All through self-play, not imitation.
Rainer Bareiß retweeted
AI made in 🇪🇺
OpenEuroLLM, the first family of open source Large Language Models covering all EU languages, has earned the first STEP Seal for its excellence.
It brings together EU startups, research labs and supercomputing hosts to train AI on European supercomputers ↓
ALT A stylised infinity symbol made up of small flags of various European countries, with a heart featuring the EU flag at the bottom center. Below, text reads "Bridging European languages with European AI." A small European Commission logo is in the bottom right corner.
Rainer Bareiß retweeted
One week into Open-R1, our project to replicate its training pipeline and synthetic data. A thread 🧵 (0/13)
More details here: huggingface.co/blog/open-r1/…
Rainer Bareiß retweeted
EU invests $56M in open-source AI project to build a large language model rivaling OpenAI & DeepSeek. Aiming for 30 languages & EU values, project leverages top researchers & supercomputers. #AI #EU #OpenSource
forbes.com/sites/iainmartin/…
#NewsAi #AI #AiNews #News #TechNews #ArtificialIntelligence #Innovation #FutureTech
Rainer Bareiß retweeted
Today Google open sourced PebbleOS and it makes me incredibly happy. That codebase and that team I still have so much pride in. I remember typing `git init` during the Kickstarter campaign in 2012 and worked on it until we were acquired by Fitbit in 2016: github.com/google/pebble
Rainer Bareiß retweeted
We’re bringing Pebble back → rePebble.com
Rainer Bareiß retweeted
Netflix ate Blockbuster.
Amazon crushed retail.
Uber reinvented transport.
And now... a tiny open-source AI team called DeepSeek is shaking OpenAI, NVIDIA, and the entire AI world to its core.
But this isn’t just about AI. This is the beginning of a revolution across industries.
Let’s talk about DeepSeek- a thread:
Rainer Bareiß retweeted
After DeepSeek it's Kimi Ai turn..
Kimi k1.5 is now on available on Web.
❗Completely FREE, unlimited use:
- Real-time web search across 100+ sites
- Analyze 50+ file types effortlessly
- Advanced CoT reasoning, free forever
- Enhanced image understanding.
🚀 Introducing Kimi k1.5 – Now on Web Kimi.ai!
We’re excited to announce the launch of Kimi 1.5 on the web! We've also rolled out English support (still fine-tuning). Check out the easy model-switching in the image below.
🔧 Key Features:
🔹 Completely FREE with unlimited usage
🔹 Real-time web search across 100+ websites
🔹 Analyze up to 50 files (PDFs, Docs, PPTs, Images) with ease
🔹 Advanced CoT Reasoning, available at no cost
🔹 Enhanced image understanding, going beyond basic text extraction
🔜 Mobile version is on its way!
Rainer Bareiß retweeted
We reproduced DeepSeek R1-Zero in the CountDown game, and it just works
Through RL, the 3B base LM develops self-verification and search abilities all on its own
You can experience the Ahah moment yourself for < $30
Code: github.com/Jiayi-Pan/TinyZer…
Here's what we learned 🧵
Rainer Bareiß retweeted
Introducing the world's first all-AI written (no human involved) 203-page book on how tiny SaaS startups can get to the top!
📖Using Gemini Flash-Exp 2.0 over 1000 API calls and 170 million tokens!
Written by Deepwriter, you can now read this 100k word book for free below. 👇🧵
Rainer Bareiß retweeted
You guys I'm seriously freaking out about the implications of what we're seeing. The implications are staggering, to say the least.
Okay, we know what Ilya saw, and it wasn't just Q* and Strawberry. That was the first step. What he really saw was the oscillation between these three steps:
1. Scaling laws of training and compute. We can reliably predict how much data/compute are required to get to the next level of AI models.
2. Inference time compute scaling laws. Letting the models think longer (spending more tokens on thinking and such) yields orders of magnitude improvements.
3. Distillation, which is where you use one "teacher model" to train the next generation "student model" which is sort of like going from a pidgin language to a true creole language. (magically better)
Combine that with increasing evidence that AI is generalizing beyond its training distribution and it's GAME OVER. This is it.
But that's not even the best part.
It seems like every AI shop figured this all out at the same time. There is no moat. ASI will be for everyone.
Rainer Bareiß retweeted
I’ve put together a list of AI Agent tools & frameworks.
Let me know if you know more.
Thread: 🧵
Rainer Bareiß retweeted
1/ Google Research unveils new paper: "Titans: Learning to Memorize at Test Time"
It introduces human-like memory structures to overcome the limits of Transformers, with one "SURPRISING" feature.
Here's why this is huge for AI. 🧵👇
Rainer Bareiß retweeted
Really excited to be posting our FIRST Robotics hardware roles for @OpenAI, including two very senior tech lead engineering (IC) roles and a TPM Manager.
The first role is for an **EE Sensing Engineer** to help us design the sensor suite for our robots.
The second role is for a **Robotics Mechanical Design Engineer** with experience designing gears, actuators, motors and linkages for robots.
The last role is for a **TPM Manager**. This will be a fun, scrappy role to start and will span Product TPM work, standing up our training lab, and keeping us running smoothly as we cycle through our product design phases.
I can't wait to get started on this work. I just hit my two month mark at OpenAI and can confirm the talent density, work velocity and focus make this a really wonderful place to do technical work. Join us!
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