Fine-tuning

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Scoured 250 posts in 23.8 ms

Sequential Data Poisoning in LLM Post-Training

 Inference  Content type: Academic
arxiv.org·

Why LLMs (still) lack taste

 📊Evals

Tracing Eval-Awareness Emergence Through Training of OLMo 3

 ✍️Prompt Engineering
lesswrong.com·

brunokeymolen/lora: LoRa (Long Range) communication related projects

 📐Context Engineering  Content type: Code
github.com··Hacker News

Reasoning RL in 2026: GRPO, DPO, RLVR, Agentic PO & Beyond

 🤖AI Agents
turingpost.com·
Less-relevant results

Anthropic's Fable 5 Silent Sabotage Mode

 🌐Open Source AI

NeuroBait: I fine-tuned a model to spark dopamine for ADHD brain

 🌐Open Source AI  Content type: Blog
huggingface.co·

If Claude Fable stops helping you, you’ll never know

 🏆SOTA Models
simonwillison.net··Hacker News

Nvidia Nemotron 3 Ultra

 🏆SOTA Models

SecLoRA: Secure Aggregation of Low-Rank Matrix Products via Functional Encryption

 🕸️Distributed Systems
eprint.iacr.org·

DiffusionGemma: The Developer Guide

 🧠LLMs  Content type: Blog
developers.googleblog.com·

Anthropic releases Claude Fable 5 and Mythos 5 with major gains in coding and science

 🏆SOTA Models
oodaloop.com·

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

 🌐Open Source AI
aermia.com··Hacker News

New comment by bkjlblh in "Claude Fable 5"

 🏆SOTA Models  Content type: Discussion

Sequent: scale and automation for higher confidence in alignment

 🧠LLMs
lesswrong.com·

Sen-sou/Bobs-Lora-Loader-Anima: A custom LoRA loader node for ComfyUI with advanced block-weighting controls for SDXL, FLUX and Anima models. Features presets for common use-cases like 'Character' and 'Style', and a 'Custom' mode for fine-grained control over individual model blocks.

 🌐Open Source AI  Content type: Code

Google Colab CLI opens runtimes to Claude Code and Codex

 🌐Open Source AI

The Memory Problem is Solved: How Google’s Memory Caching Makes RNNs Smart Again

 Inference  Content type: Blog
medium.com·

Week Links [1st June 2026]

 🧠LLMs
jackharrington.xyz·

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

 🧠LLMs  Content type: Academic
arxiv.org·

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