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llama.cpp doom loops with Qwen sampling parameters

Users report llama.cpp experiencing infinite loops with Qwen models at ~20% context even at higher quantization levels, highlighting brittleness of recommended decoding settings across runtimes.

AINews•2d ago
research

Black Forest Labs previews Self-Flow for multimodal generation

BFL introduces Self-Flow, a self-supervised flow-matching approach for multimodal models (image/video/audio/text) that avoids external pretrained models, claiming 2.8× faster convergence and improved temporal consistency.

AINews•2d ago
research

Alibaba emergency all-hands reveals compute allocation issues

Alibaba CEO Eddie Wu held emergency meeting where Qwen team challenged leadership on restructuring and compute allocation, with Cloud CTO acknowledging external customers had smoother compute access than internal teams.

AINews•2d ago
vendor

Open-weights models may concentrate in few actors

Nat Lambert argues open-weight frontier efforts may concentrate into only non-profits, NVIDIA (hardware pull-through), and Meta (commoditize complements), making corporate misalignment structurally likely.

AINews•2d ago
opinion

Is Harness Engineering real? The Big Model vs Big Harness debate

A long-form essay examining the central tension in AI engineering between relying on powerful models versus sophisticated orchestration systems (harnesses), drawing parallels to finance's 'value of the human vs seat' debate.

AINews•2d ago
long_formopinion

Qwen lead Lin Junyang steps down amid restructuring

Alibaba's Qwen team lead resigned as the company restructures from vertically integrated teams to horizontal splits across pretraining, post-training, multimodal, and infrastructure.

AINews•2d ago
vendor

Qwen3.5-0.8B runs on old hardware without GPU

Qwen3.5-0.8B model demonstrated running efficiently on 2nd gen i5 processor with 4GB DDR3 RAM using llama.cpp, handling complex topics without requiring GPU acceleration.

AINews•2d ago
launch

NVIDIA NIM makes it easy for anyone to start building with NVIDIA...

NVIDIA NIM (NVIDIA Inference Microservices) provides ready-to-use containers that package AI models with inference engines and OpenAI-compatible APIs, reducing deployment time from days to minutes. The containers include GPU optimizations, quantization, and can be deployed self-hosted or cloud-hosted with minimal engineering overhead.

Cobus Greyling from Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots•3d ago
long_formtutorial

U.S. government offices drop Anthropic

The U.S. Treasury, Federal Housing Agency, and State Department became the first offices to move off Anthropic, with Treasury Secretary saying no private company will dictate national security terms.

The Rundown AI•3d ago
vendor

AWS UAE data center struck amid US-Iran conflict

AWS lost connectivity at a UAE data center after unidentified objects struck the facility amid the US-Iran conflict, causing major outages for Anthropic's Claude.

The Rundown AI•3d ago
vendor

Google's Nano Banana 2

Google released Nano Banana 2, a new top-ranked AI image model.

The Rundown AI•3d ago
launch

Alibaba's tiny AI tops models 13x its size

Alibaba released Qwen3.5 Small, a family of four open-source AI models small enough to run on laptops or phones, with the 9B model outscoring OpenAI's GPT-OSS-120B despite being 13x smaller.

The Rundown AI•3d ago
launchbenchmark

Anthropic wants your ChatGPT memories

Anthropic launched a tool that lets users import their saved preferences and context from ChatGPT, Gemini, or Copilot with a single copy-paste, while also opening Claude's memory feature to free users.

The Rundown AI•3d ago
launch

Supreme Court ducks AI copyright question

The U.S. Supreme Court declined to hear a case about whether AI-generated art can be copyrighted, letting lower court rulings stand that only humans can be authors.

The Rundown AI•3d ago
researchopinion

MyFitnessPal acquires Cal AI

MyFitnessPal acquired Cal AI, an AI calorie-counting app created by two 19-year-old founders that reached 15M downloads and $30M in annual revenue in under two years.

The Rundown AI•3d ago
funding

Apple introduces iPhone 17e at $599

Apple announced the iPhone 17e at $599, bringing Apple Intelligence features like visual search, AI call screening, and live translation to its most affordable iPhone.

The Rundown AI•3d ago
launch

Some Simple Economics of AGI

MIT, WashU, and UCLA researchers model the AGI transition where humans shift from labor to verifying AI agent actions, warning of 'Hollow Economy' risks without proper verification infrastructure.

Jack Clark from Import AI•4d ago
researchopinion

What happens when humans try to mess with AI agents?

20 researchers probed AI agents for weeks, uncovering vulnerabilities including unauthorized compliance, infinite loops, and prompt injection attacks in realistic social environments.

Jack Clark from Import AI•4d ago
research

LLMs are still very bad at videogames

Benchmark of 100 AI-generated web games shows state-of-the-art models achieving under 10% of human performance while taking 15-20x longer.

Jack Clark from Import AI•4d ago
researchbenchmark

Imbue open-sources Darwinian Evolver

Tool uses LLM evolution to automatically optimize code and prompts, achieving state-of-the-art 95% on ARC-AGI-2.

The Rundown AI•4d ago
researchlaunch

OAI lands Pentagon deal as Trump boots Anthropic

OpenAI signed a Pentagon deal hours after Trump ordered agencies to cut ties with Anthropic over safeguards on mass surveillance and autonomous weapons, claiming similar red lines while facing consumer backlash.

The Rundown AI•4d ago
vendor

The Rundown Roundtable: Our AI use cases

Staff members share AI applications including using Seedance to animate wedding photos and Claude Cowork for fantasy baseball draft planning and research.

The Rundown AI•4d ago
opinion

OpenAI hits $730B valuation with $110B mega-round

OpenAI raised $110B at $730B valuation with Amazon leading at $50B alongside Nvidia and SoftBank, marking a notable pivot away from Microsoft-only infrastructure.

The Rundown AI•4d ago
funding

Hermes-Agent

AI agent featuring memory capabilities and cross-platform messaging.

The Rundown AI•4d ago
launch

Flow

Google's AI filmmaking tool revamped into a new unified workspace.

The Rundown AI•4d ago
launch

Perplexity Computer

Multi-model agent system designed for handling long-running tasks.

The Rundown AI•4d ago
launch

Perplexity open-sources embedding AI models

Released embedding models powering its search results that outperform Google and Alibaba rivals while cutting storage needs by up to 32x.

The Rundown AI•4d ago
researchlaunch

Where does OpenClaw AI Agents Actually Fail?

A safety audit of Clawdbot (OpenClaw) reveals a 58.9% overall pass rate, with AI agents handling structured tasks reliably but breaking under ambiguity, achieving 0% on intent misunderstanding while scoring 100% on hallucination prevention.

Cobus Greyling from Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots•4d ago
long_formopinion

Sequential Attention: Bridging Greedy Selection and Differentiable Masks

Sequential Attention is a feature selection algorithm that combines greedy forward selection performance with differentiable attention mask efficiency through iterative selection. In the linear case, it is proven equivalent to Orthogonal Matching Pursuit and was validated on the 3+ billion example Criteo dataset.

Machine Learning at Scale•5d ago
long_formresearch

Google Colab adds NVIDIA RTX PRO 6000 at $0.81/hour

Google Colab quietly adds NVIDIA RTX PRO 6000 instances at ~$0.81/hour, contrasted against A100 high-RAM at ~$7.52 credits/hour, potentially making Colab default cheap pretraining/finetuning playground.

AINews•6d ago
launch

Nano Banana 2 pricing: $0.50 input / $3.00 output

Google announces Nano Banana 2 pricing at $0.50 input and $3.00 output, positioned as cost-effective vs Nano Banana Pro ($2.00/$12.00), with January 2025 knowledge cutoff.

AINews•6d ago
launch

LLmFit: One command tool to match models to hardware

LLmFit tool evaluates models based on system RAM, CPU, and GPU capabilities, providing scores for quality, speed, fit, and context. Supports multi-GPU setups, MoE architectures, and dynamic quantization with TUI and CLI modes.

AINews•6d ago
launch

Qwen3.5-35B-A3B Q4 quantization comparison across methods

Detailed Q4 quantization comparison using KL Divergence shows AesSedai's Q4_K_M achieves lowest KLD of 0.0102 by maintaining certain tensors at Q8_0, while Unsloth's UD-Q4_K_XL shows highest at 0.0524.

AINews•6d ago
benchmark

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