CompactionRL lifts AI coding agents 7 points on SWE-bench
Tsinghua's reinforcement learning method teaches long-horizon AI agents to compress their own context, lifting open models on coding benchmarks and entering GLM
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Daily AI and technology news decoded in plain English — models, chips, agents and research, and what each development actually means for you and your business.
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Tsinghua's reinforcement learning method teaches long-horizon AI agents to compress their own context, lifting open models on coding benchmarks and entering GLM
A new superchip brings data centre power to laptops, challenging Apple and Intel.
A new method uses hidden activations to block bad prompts instantly, requiring no model retraining.
New arXiv research reveals a dangerous blind spot in cybersecurity AI: models can resist attacks on paper while their decision logic falls apart.
New ICLR 2026 research finds masked image modelling is inherently more robust than contrastive learning when decentralised unlabelled data differs across nodes.
An arXiv paper claims kNNGuard reads hidden LLM activations to block unsafe prompts without fine-tuning, cutting latency and setup time to seconds.
ACMA's new 4G and 5G rules require a standard method across Australia, giving the ACCC a benchmark to judge network claims it previously had to drop.
Researchers measure whether agents can iteratively edit executable policies, with trajectory diagnostics replacing single final scores.
Researchers analysed 75 breaches and found a hidden flaw—syntactic validation clears, but meaning fails when data crosses trust boundaries.
An unreviewed arXiv paper shows how three specialised AI agents catch chip-security flaws that general chatbots miss.
An unreviewed arXiv paper shows how grounding world models on real rollouts can slash training time and boost manipulation success.
Telcos must now publish comparable 4G and 5G coverage maps, but broad geographical claims still sit outside the rules.