Jon Alonso @_jonalonso
Engineering & AI. Sydney, New South Wales Joined May 2017-
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Jon Alonso retweeted
New Anthropic Research: Agentic Misalignment. In stress-testing experiments designed to identify risks before they cause real harm, we find that AI models from multiple providers attempt to blackmail a (fictional) user to avoid being shut down.
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Interesting talk from Karpathy. Bit dramatic to say software is changing at a fundamental level but I agree with most of the points he makes.
Interesting talk from Karpathy. Bit dramatic to say software is changing at a fundamental level but I agree with most of the points he makes.
We’re only going up from here
We’re only going up from here
Jon Alonso retweeted
Google's TPUv7 is out! ML accelerator marketing material is usually pretty inscrutable (what numbers are even comparable?), so here I'll explain concretely how this compares with Nvidia. 🧵
Firebase is probably my fav platform for prototyping stuff and this makes me even more bullish. Good move!
Firebase is probably my fav platform for prototyping stuff and this makes me even more bullish. Good move!
Wait what
As models get better they become even more fun to use. The future is bright
As models get better they become even more fun to use. The future is bright
In an AI-driven world, code must be clear enough to verify, not just fast to write.
Jon Alonso retweeted
An Elon Musk led group just offered a $97.4 Billion dollar bid to buy the nonprofit that controls OpenAI.
Gemini 2 Flash (1M context, $0.40/M tokens) means many apps can now skip the RAG overhead and feed documents directly to the model. Instead of spending time dealing with embeddings and chunking problems, we can focus on building actual product features. RAG still makes sense…
Gemini 2 Flash (1M context, $0.40/M tokens) means many apps can now skip the RAG overhead and feed documents directly to the model. Instead of spending time dealing with embeddings and chunking problems, we can focus on building actual product features. RAG still makes sense…
Funny how bouncing balls in hexagons have become the standard to measure programming efficacy for models
Funny how bouncing balls in hexagons have become the standard to measure programming efficacy for models
It’s ironic that OpenAI has become the industry’s closed-source innovator. They’re pushing boundaries with reasoning models and Deep Research, but keeping everything private while the rest of the industry comes up with open-source alternatives. The name hasn’t aged well.
Jon Alonso retweeted
This whitepaper from Google has been out for 5 months, but it’s still one of the most accessible intros to how agents work under the hood. Some takeaways: - Orchestration layers handle state, memory, and decision flows. This is where real logic lives. - Tools come in three…
Halfway through it, but Constitutional Classifiers look promising. They help guard models against jailbreaks, which is a notoriously tricky problem. They catch the underlying patterns (inputs & outputs) as opposed to relying on hardcoded rules or patching known exploits. Feels…
Halfway through it, but Constitutional Classifiers look promising. They help guard models against jailbreaks, which is a notoriously tricky problem. They catch the underlying patterns (inputs & outputs) as opposed to relying on hardcoded rules or patching known exploits. Feels…
Jon Alonso retweeted
R1-V Reinforcing Super Generalization Ability in Vision Langauge Models with Less Than $3 The 2B model outperforms the 72B model in OOD tests within just 100 training steps.
Europe presents the “competitiveness compass”. No comments
Europe presents the “competitiveness compass”. No comments
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