Raphael
935 posts

Raphael
@raph_dixon
“The Voice of Middle Australia". Down Round podcast & Meeting Tree.

The rate of AI innovation is like nothing Marc Andreessen thought he’d see in his lifetime. Australia is making major investments in compute, renewable energy and a smart regulatory framework to support the next wave. Great discussion with you, Marc.



Awesome job by the @databricks team My summary: They trained a model called KARL that beats Claude 4.6 and GPT 5.2 on enterprise knowledge tasks (searching docs, cross-referencing info, answering questions over internal data), at ~33% lower cost and ~47% lower latency. The key insight: instead of throwing expensive frontier models at enterprise search, you can use reinforcement learning on synthetic data to train a smaller model that's faster, cheaper, AND better at the specific task. RL went beyond making the model more accurate. I t learned to search more efficiently (fewer wasted queries, better knowing when to stop searching and commit to an answer). They're opening this RL pipeline to Databricks customers so they can build their own custom RL-optimized agents for high-volume workloads. I think we'll continue to see data platforms become agent platforms. Databricks' KARL paper is really an agent platform play. The pitch: you already store your enterprise data in the Lakehouse, now Databricks will train a custom RL agent that searches and reasons over it, tuned specifically for your highest-volume workloads (workloads = apps = agents). The business move is closing the loop: data storage → retrieval → custom agent training → serving, all on Databricks. They're turning "your data lives here" into "your agents live here too." Kudos @alighodsi @matei_zaharia @rxin

Wow they did it 🔥 "Qwen3.5-35B-A3B now surpasses Qwen3-235B-A22B-2507" So in 6 months they've trained a model which is: - 6.7x smaller than the previous one - Better in all benchmarks - Available locally on a laptop We're just at the very beginning of local LLMs and, at some point, we'll have an Opus 4.6 intelligence running on a phone.

yo so i didnt really wanna reveal this yet but ive been working on realtime multiplayer ableton here's a test i recorded at 1am with midi clips, notes, stock devices, changing parameters a few things are broken but its taken so long to get here to begin with

Had some fun today Got 12 Mac Minis setup with 12 Clawdbots running 12 Ralph Wiggums with my 12 Claude Max Plans Wake up. It’s 2026. You’re getting left behind in the dust







Today in Feed Me, we asked 22 New Yorkers about their office holiday party memories





🇨🇳 Saw my first actually useful robot You know those toll way machines and you're always too far off the machine and have to hang out the window to pay, or you're too close and your wheel hits the side In Beijing they have a robot arm for it Although to be fair in Europe we just have a sensor we glue to the windshield and it auto charges your bank via IBAN So maybe not so useful But it looks cool!












