Utopic e/λ @UtopicDev
AI Designer and Builder. Technology to save the world. There Is No Planet B... Joined June 2023-
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A key takeaway from my experience with @DSPyOSS and GEPA: The prompts GEPA creates during optimization often help me understand the task I’m working on more deeply As GEPA runs through my examples, initial instructions, traces, and prompt candidates, it identifies patterns and…
Hacking model architecture with @DSPyOSS + GEPA. This method, in contrast to techniques like MIPROv2 and GEPA, modifies the architecture/paramters of the model to steer the model in right direction. For instance, see the classic "How many r's" question to a tiny model - Qwen3…
Segmentation on LLM8850
Well, it's done. Omarchy Retro Fallout Theme is live, vault vibes for your desktop. Thanks @Ron_Dilley for the map magic, @iamdothash for the spark, @sm_salmaan for the vibes, and @dhh for building Omarchy and making all this possible!
YOLO26 coming soon 🔥 docs.ultralytics.com/pt/models/yolo…
NO verifiers. NO Tools. Qwen3-4B-Instruct can match DeepSeek-R1 and o3-mini (high) with ONLY test-time scaling. Presenting Recursive Self-Aggregation (RSA) — the strongest test-time scaling method I know of! Then we use aggregation-aware RL to push further!! 📈📈 🧵below!
MCP was more a way to divert the focus from the fact that @AnthropicAI has nothing Open Source than a truly efficient technology.
#M5StackNew 🎉 LLM‑8850 Card — an ultra‑compact M.2 M‑Key 2242 AI accelerator card designed for edge devices It packs the Axera AX8850 SoC delivering 24 TOPS @ INT8 performance into a tiny 42 mm form factor, enabling plug-and-play multimodal large model and video…
"in the past decade - the layers of stupidity and complexity continue to grow faster than Moores law"… ~ exactly that!
"in the past decade - the layers of stupidity and complexity continue to grow faster than Moores law"… ~ exactly that!
Every time, I think, ah, oh no, dspy does not support that... but then thanks to the fact that it's open-source and I can investigate the code, I can just change the right thing at the right place and boom! With only that code below you can make it so that any DSPy optimizers…
Prompt optimization is becoming a powerful technique for improving AI that can even beat SFT! Here are some of our research results with GEPA at Databricks, in difficult Agent Bricks info extraction tasks. We can match the best models at 90x lower cost, or improve them by ~6%.
News: PostgreSQL 18 Released! postgresql.org/about/news/pos…
I spent the past month reimplementing DeepMind’s Genie 3 world model from scratch Ended up making TinyWorlds, a 3M parameter world model capable of generating playable game environments demo below + everything I learned in thread (full repo at the end)👇🏼
Video models are zero-shot learners and reasoners "Takeaway 1: In NLP, prompting replaced task-specific training or adaptation. A similar paradigm shift is on the horizon in machine vision, facilitated by video models." "Takeaway 2: Veo 3 shows emergent zero-shot perceptual…
This paper gives a clear, testable way to spot slop, and shows LLM judges under call slop compared to humans. Turns the fuzzy idea of AI slop into a concrete checklist and shows what actually triggers it. LLMs labeled only 3–8% of texts as slop while human editors labeled 34%,…
Building AI workflows, pipelines, and agents with code is not very analogous to software engineering. Instead, it’s more comparable to data science, modeling, data analytics, and other exploratory coding endeavors. Software engineering is often too structured and not…
RLPT: Reinforcement Learning on Pre-Training Data • RL directly on pre-train data (no human labels) • Next-segment reasoning objective (ASR + MSR tasks) → self-supervised rewards • Gains on Qwen3-4B: +3.0 MMLU, +8.1 GPQA-Diamond, +6.6 AIME24, +5.3 AIME25
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