#LLM
Curated coverage on «LLM»: releases, research, benchmarks, open-source.

Developer Support Moves From Chatbots to Three Roles for AI Agents
Instead of one bot with buttons, developer support is building a chain of three agent groups: log diagnosis, context preparation, and a Pull Request with a fix on a…

What to show off when an agent writes your code in five minutes
In 2026, code written by an agent no longer demonstrates a developer's skill. Instead of a codebase, you need to share solutions, errors caught while verifying AI's…

Dwarf Models: How Companies Cut AI Costs by Fine-Tuning Tiny LLMs
A fine-tuned 8-billion-parameter LLM can cost 5 times less than GPT-4 and run 100 times faster. Checkr saved $7,000 a month, PayPal hit 100% valid JSON. Instead of…

Uzum, Uzbekistan's largest private issuer, eyes eurobonds

Franklin Templeton CEO Calls AI Investment a Durable Long-Term Opportunity

Anthropic Banned Being Cruel to Claude, So I Built a Profanity Filter for My Prompts

OpenAI releases GPT-6.1 Sol Ultrafast on day 4 of its 28-day marathon

8B RL-Trained Agent Teaches a Video Model to Look Up Data and Compute Physics
An 8B-parameter agent trained with RL decides on its own when video generation needs search, a character reference, motion simulation, or frame stitching.

OpenAI Publishes 722 Math Papers Written by AI
On October 6, OpenAI released 722 AI-generated math papers, including proofs around the quasi-Riemann hypothesis. Here is what is known and what is not yet.

Video Generation With an Expression Gallery Beats Baseline Models on Identity Similarity

Qwen3-1.7B Fine-Tuned on Raw, Uncaptioned Video Gains 5.1 Points on Image Benchmarks

PCAsplat Cleans Up Gaussian Splat "Floaters" With Local PCA on Three Benchmarks

Researchers Extend DINOv2's CLS Token with Regions of Interest for Image Retrieval

GHARP animates a 3D head in real time: 13x faster on A100
GHARP builds an avatar from a few photos and animates it with a lightweight network built for mobile devices: up to 13x faster on A100 and 8x fewer Gaussians.

SAVER Teaches Video Models to Reason From a Few Frames, Using 1,250 Examples
The SAVER framework fine-tunes video LLMs on 1250 examples: dense frames serve as the reference, and the model on sparse frames matches or beats the base Qwen3.5.









