Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
SambaNova Systems is hiring a Principal AI Systems Performance Engineer in San Jose, California, to optimize and scale state-of-the-art foundation models on its reconfigurable dataflow platform. The role involves profili…
Unsloth, the open-source fine-tuning library, released Unsloth Desktop, a free beta app for macOS, Windows, and Linux that runs and trains LLMs, diffusion models, and audio models locally, directly competing with Ollama …
A developer built a semantic cache for a support bot that answers repeated questions, addressing the problem that exact-match caches rarely hit because users phrase the same question differently. The cache uses embedding…
SambaNova Systems is hiring a Senior Principal Machine Learning Engineer in San Jose, California, offering $220k–300k/yr for an on-site role focused on optimizing large language models for its SN40L chip and RDU architec…
Towards Data Science published a vendor-neutral blueprint for building a persistent knowledge layer that refuses to guess, addressing the limitation that RAG retrieves but never remembers. The article includes a complete…
AI systems are now solving geometry problems that previously took humans years, according to a report highlighting the shift from calculation to reasoning. By combining deep learning with formal verification languages li…
Mind Lab, founded in October 2025 by Andrew Chen, released Macaron-V1 on July 21, achieving state-of-the-art results in six of 12 benchmarks, with the flagship Venti model post-trained on GLM-5.2 using four LoRA adapters…
A developer's independent analysis of reasoning prefills on open models finds that Kimi K3 shows a significant accuracy increase on Humanity's Last Exam questions when prefilled with Opus 4.8 reasoning, but the effect ne…
AIsbom v1.3.0, a tool for scanning ML model artifacts, now flags Keras Lambda layers and embedded code objects as CRITICAL, without unmarshalling payloads. The tool also detects ONNX external-data path traversal and non-…
A new arXiv preprint (2605.06241v2) finds that reinforcement learning (RL) for large language model reasoning acts as sparse policy selection rather than capability learning, with only 1–3% of token positions affected an…
Cerebras Systems' knowledge base rebuild, documented across four posts, shows that hybrid retrieval alone never outperformed pure vector search on the company's support corpus, but adding an LLM reranker delivered the fi…
The Cerebras knowledge base project concluded with a lightweight web UI built on FastAPI and vanilla JavaScript, serving two endpoints for LLM-free search and full retrieval-augmented generation. The final post in the se…
A developer rebuilt the Cerebras knowledge base retrieval pipeline, adding an LLM reranker that boosts mean reciprocal rank from 0.57 to 0.90 on a 31-question evaluation. The hybrid retrieval plus rerank configuration no…
A new public experiment by Prime Intellect ran 153 autonomous runs on the nanoGPT optimizer speedrun across 18 frontier models, finding that Claude Fable 5 and Opus 5 dramatically outperformed others, though no run produ…
DSPy 3.3.0's MIPROv2 optimizer can automatically compile a support-ticket classifier prompt that beats a hand-tuned baseline, according to a tutorial by Mariana Souza. The approach uses a DSPy signature, a 24-example lab…
A developer explains the mental model connecting neural networks, deep learning, Transformers, and attention to understand how LLMs work. The post traces the evolution from basic neural networks to the Transformer archit…
Hybrid key exchange for TLS 1.3, such as X25519MLKEM768, is being standardized by the IETF to protect against harvest-now, decrypt-later attacks. The change combines classical X25519 with the post-quantum ML-KEM-768 mech…
Researchers introduced Vero, the first benchmark to evaluate joint implementation and proof synthesis at the repository level, containing 43 multi-module instances from real-world repositories in Python, Dafny, Verus, an…
Teams shipping RAG systems to production often see quality collapse and costs spiral, but semantic chunking, hybrid retrieval, and selective reranking can cut costs 5x while maintaining accuracy, according to a technical…
Researchers at Tel Aviv University introduced the Generative Cramér-Rao Bound (GCRB), a data-driven method that approximates the classical Cramér-Rao bound using deep generative models, eliminating the need for an analyt…