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LLMs

Baidu's 2.4 trillion param GPT rival goes GA, investors love it

Its creator claims the big-number Ernie 5.0 as a full-modal breakthrough, and is keeping it closed.

LG's MoE K-EXAONE dominates Korea's government AI talent search

The English-capable, 236B-parameter model scored way above the competition in common benchmarks and government safety-and-security checks.

Recursion beats the pants off straight LLM again; it's the future, says MIT researcher

Orders-of-magnitude advantage recorded by making long prompts programmatically accessible, says new paper.

AI 2026: What leaders from Snowflake, CapGemini, Salesforce, and more are thinking

Here are predictions from technology leaders on the hottest topic of the season: AI.

LLMs can't cook and can't adapt, says new paper, and more compute won't help

"Reasoning models cannot determine when or how to revise what they have learned"

What is DeepSeek-OCR and is it worthy of the online hype?

Are pixels are better inputs to LLMs than text? A novel new model suggests the answer is yes.

7 models, 1 GPU: Alibaba pools out of NVIDIA scarcity

Production-tested token-level autoscaling can hugely reduce the need for chips to feed those inefficient LLMs, says Chinese cloud operator.

LLMs can be trivially backdoored - minimal poison dose required

Large Language Models can be backdoored by introducing just a limited number of “poisoned” documents during their training, a team of researchers from the UK’s Alan Turing Institute and partners found.  “Injecting backdoors through data poisoning may be easier for large models than previously believed as the number of

Perplexity hit in Japan – just as it beats Google to AI revenue-share model

Perplexity unveiled its Comet Plus revenue-sharing plan for publishers, a day before new copyright claims in Japan surfaced.

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