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GPT-5

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// recent coverage 223 mentions

14:10
2026-08-24
blog.jetbrains.com
artificial-intelligence

Junie Can Now Run Entirely on Your Mac – No Credits, No Cloud

JetBrains introduced Junie Local, an on-device coding agent that runs entirely on a Mac with no cloud usage or credits, shipping with a tuned Qwen3.6-27B model at 4-bit requiring an M5 Mac with 64 GB …

07:53
2026-08-23
dtlarson.com
artificial-intelligence

The Zen of AI

OpenAI's latest model, GPT-5, achieves a 92% accuracy on the MMLU benchmark, surpassing human experts and setting a new state-of-the-art. The company claims this advancement will revolutionize AI appl…

21:48
2026-08-22
en.wikipedia.org
machine-learning

Low-Rank Adaptation

Microsoft researchers introduced LoRA (Low-Rank Adaptation) in 2021, a parameter-efficient fine-tuning technique that reduces trainable parameters by approximately 10,000 times and GPU memory requirem…

18:11
2026-08-21
promptcube3.com
ai-tools

Cursor Beats GPT-5 for Daily Coding — Here's the Data

Cursor Pro with Claude 3.5 Sonnet beat GPT-5 for daily coding tasks in a six-week comparison by a developer, winning 27 of 31 real tickets and averaging 23 minutes to a working pull request versus 41 …

09:10
2026-08-21
honnibal.dev
artificial-intelligence

I don't think AI is a bubble

In a blog post, an unnamed author argues that AI performance will not plateau, countering the common belief that progress is driven by brute-force scale with diminishing returns. The author contends t…

17:00
2026-08-20
usewire.io
artificial-intelligence

Pruning context made agents more accurate, not just cheaper

A June 2026 paper by Lodha, Varnosfaderani, Chakraborty, and Mithal found that pruning an AI agent's context window to the last five tool calls raised task completion from 71.0% to 79.0% on a Microsof…

04:00
2026-08-19
machinebrief.com
natural-language-processing

Dripper: Token-Efficient Main HTML Extraction with a Lightweight LM

Researchers introduced Dripper, a lightweight framework for main HTML content extraction that uses small language models for constrained sequence labeling, achieving a throughput of 3.08 pages per sec…

10:40
2026-08-18
schneier.com
large-language-models

LLMs and Contextual Integrity

A new benchmark called CIMemories, presented in a paper on arXiv, reveals that frontier large language models leak sensitive information from persistent memory in up to 69% of attribute-level violatio…

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