Bell and Coveo announce strategic sovereign AI partnership to advance Canada's digital leadership - Yahoo Finance
<a href="https://news.google.com/rss/articles/CBMijgFBVV95cUxNVVJwMWowYzl4VG13ZTA1bk1ET1lUQ2s0V3Y4OFh5M0o1NF9sdzFpZ24wSHAyMU5VUDdKUHZ0SlJTSWEzTWVmQzBMcktSWFdpYUNQcUs5eW5rQlZSeDVKdkRWcV9nN3VNUklFWW9VYWc2Y3I3bzczUkVWZDl1SDhiQl9kWXFqNm9mUm1XN2pB?oc=5" target="_blank">Bell and Coveo announce strategic sovereign AI partnership to advance Canada's digital leadership</a> <font color="#6f6f6f">Yahoo Finance</font>
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announceGoogle's $20 per month AI Pro plan just got a big storage boost
Google's $20 per month AI Pro plan , which includes Gemini, Veo and Nano Banana, got a big storage boost and some other new perks. Users of the plan (also available for $200 per year ) will see their cloud space jump from 2TB to 5TB at no extra cost. That extra storage can be used not only for AI but also Gmail, Google Drive and Google Photos backups. Gemini can now pull context from Gmail and the web for Drive, Docs, Slides and Sheets, provide summaries for your Gmail inbox and proofread emails before you send them. It's also introducing additional agentic help with Chrome auto browse "that handles those tedious, multi-step chores — like planning a trip or filling out forms," Google VP Shimrit Ben-Yair wrote on X . Finally, Google announced that it's bundling its Home Premium subscription

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arXiv:2604.00790v1 Announce Type: new Abstract: While large language models (LLMs) have demonstrated strong performance on complex reasoning tasks such as competitive programming (CP), existing methods predominantly focus on single-attempt settings, overlooking their capacity for iterative refinement. In this paper, we present RefineRL, a novel approach designed to unleash the self-refinement capabilities of LLMs for CP problem solving. RefineRL introduces two key innovations: (1) Skeptical-Agent, an iterative self-refinement agent equipped with local execution tools to validate generated solutions against public test cases of CP problems. This agent always maintains a skeptical attitude towards its own outputs and thereby enforces rigorous self-refinement even when validation suggests cor

UK AISI Alignment Evaluation Case-Study
arXiv:2604.00788v1 Announce Type: new Abstract: This technical report presents methods developed by the UK AI Security Institute for assessing whether advanced AI systems reliably follow intended goals. Specifically, we evaluate whether frontier models sabotage safety research when deployed as coding assistants within an AI lab. Applying our methods to four frontier models, we find no confirmed instances of research sabotage. However, we observe that Claude Opus 4.5 Preview (a pre-release snapshot of Opus 4.5) and Sonnet 4.5 frequently refuse to engage with safety-relevant research tasks, citing concerns about research direction, involvement in self-training, and research scope. We additionally find that Opus 4.5 Preview shows reduced unprompted evaluation awareness compared to Sonnet 4.5,
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