The Answer Engine AI News · Sydney

The VC firm says that AI-native companies are growing faster than any technology, ever.

The round valued the AI biotech at $2 billion. It is currently testing drugs that treat skin conditions and preserve weight loss after stopping GLP-1s.

Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems four times already. And that’s…

arXiv:2609.25010v1 Announce Type: new Abstract: Marketers increasingly use large language models (LLMs) as "synthetic personas" to predict how an audience will react to a piece of copy before it ships, encouraged by evidence that profile-conditioned LLMs mimic human samples. But is that prediction actually valid against real behaviour - and does the persona machinery help? We present a sim-to-real validity study using the Upworthy Research Archive - thousands of headline A/B tests on shared real traffic, with measured click-through - as held-out ground truth. We compare a ten-persona panel, grounded in the real audience's demographics, against a no-persona zero-shot baseline that simply asks the model how likely a typical reader is to click. Two findings stand out. First, ground-truth reliability is the binding constraint: most A/B tests have no statistically distinguishable winner, so validity can only be measured on the reliable subset (n = 399). Second, and counter to the persona-simulation premise, persona conditioning degrades predictive validity: the no-persona baseline ranks variants markedly better (Kendall {\tau} = 0.361, a medium effect; top-1 accuracy 49.2%) than the per

arXiv:2609.25013v1 Announce Type: new Abstract: Tabular foundation models have recently shown strong potential for structured biomedical data analysis. Among them, TabPFN has emerged as an effective approach for low-data tabular classification tasks. However, the impact of optimization and preconditioning strategies on biomedical fine-tuning remains largely unexplored. In this work, we present a comprehensive empirical investigation of five AdamW-based preconditioning strategies for fine-tuning TabPFN v2.5 on 59 biomedical datasets spanning Alzheimer's disease, breast cancer, schizophrenia, significant memory concern (SMC), KEEL biomedical datasets, and UCI biomedical benchmarks. The evaluation considers predictive performance, computational efficiency, and statistical significance analysis. Experimental results demonstrate that the original AdamW optimizer consistently achieves the best overall performance and statistical ranking, while existing curvature-aware preconditioners fail to provide reliable improvements across diverse biomedical learning scenarios. The findings suggest that generic preconditioning approaches may not adequately capture the optimization characteristics of

OpenAI and Go Fish Digital unpack ChatGPT ads, earned AI visibility, practical GEO measurement, and what marketers can test next. The post ChatGPT Ads And GEO: Where Paid And Earned AI Visibility Fit Together appeared first on Search Engine Journal .

AI agents find the cheapest route to any target you set. Research from MIT and Stanford shows why SEO teams need metrics agents can't fake. The post AI Agents Will Game Your SEO Metrics, MIT & Stanford Research Points To The Risk appeared first on Search Engine Journal .

Baidu's new AI CTR divides clicks by citations, not impressions. Here's why that matters and what else the AI Traffic Analysis report will show. The post Baidu Now Measures AI Citations: Here’s What SEOs Should (And Shouldn’t) Read Into It appeared first on Search Engine Journal .

Accessed "public and non-public files".

Getting to first draft faster.

As systems grow more powerful.