Study tests whether causal neuron groups are unique or transferable
A few neurons often flip two-hop answers, but effects weaken on other chains.
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A few neurons often flip two-hop answers, but effects weaken on other chains.
On Gemma3 and Qwen3, e-PoG beat the strongest baselines by 26.0% on deception mitigation and up to 39.8% on task success.
Static GGUF files from Q2_K through Q8_0, plus mmproj supplements, are listed as the repo trends at #30.
Astra and GPT-6.1 Sol lead editors of Gemma 3 4B IT; structured-response edits resisted every attempt.

Researchers say changing 0.016 percent of Qwen3.5-0.8B weights raised MATH-500 accuracy from 7.9 to 48.1 percent.

Onboard TPUs completed a space haiku prompt; Google next plans thermal and radiation tests and twin satellites in 2027.

The prototype carries one TPU, generates up to 1 kW, and can power the chip for about twenty minutes.
Apriel Voice 27B Preview processes speech inputs and generates responses with tool calls on a shared backbone built from Gemma 4 26B-A4B.
The open model claims a new Pareto frontier while supporting quantization and selective encoder loading.
A weight-only reader keeps 98.1% of full accuracy at 17.8% of routed-expert reads and speeds MoE blocks versus vLLM.
On SWE-bench Verified, structured tools added 17–21 points at 1.7–4B but only 4–5 points at 32B.
Paired true and false reports from Qwen3-4B, Llama-3.2-3B and Gemma-3-4B do not sum to one, and complementary populations diverge within five rounds.
On three small models, ablating a TopKLoRA circuit removes a planted backdoor while instruction-following holds, with much smaller circuits than dense LoRA.
Authors report 97.8% of uncompressed performance at about 100× PLE compression, versus 66.3% for product quantization.
On Qwen and Gemma, all 30 setups gained on benchmarks while held-out attack success stayed between 82.33% and 100%.
From a backdoor in one modality, the method builds a trigger in another without poisoning that modality during training.
A Gemma-shaped ternary model fits in a 46 MB file and runs 615–740 tokens per second on a laptop CPU.

Anthropic warns small AI models may soon self-replicate on vulnerable IoT devices, without showing a live worm.

Anthropic found small models cannot yet self-replicate across IoT devices, though larger GLM-5.2 appeared capable.
DeepMind and Singapore's GovTech fine-tuned on-device Gemma to detect scams without cloud message scanning.

Anthropic warns small models may soon self-replicate across insecure IoT devices, though its lab test did not produce a full worm.
On 12 tasks across six symbolic systems, SAE-IDF beats the same LLM's dense baseline by up to 45 points.
The Register says Anthropic's self-replicating AI worm research overstates a threat that does not yet exist.

Google released Gemini 4 Argon globally, ranking first on the Vals Index.
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