Yet another indie game is becoming a TV show, as an adaptation of is in the works. This is an action survival RPG that was released in 2025 and won British Game of the Year at the recent BAFTA Game Awards. That's fitting, because is an extremely British game. The Fallout-inspired game is set in the 1960s after a nuclear disaster leads to a quarantine zone being established in the Lake District in northern England. Your character wakes up in a bunker with no recollection of how they got there.

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At WIRED Health, immunologist Daniel Davis detailed the ways in which new technologies are enabling a better understanding of the human immune system. The immune system operates at a scale scientists are only just beginning to be able to see. That new view could change how diseases like cancer are tackled. Speaking at WIRED Health on April 16, Daniel Davis, an immunologist at Imperial College London, detailed how researchers are using advanced microscopes to uncover previously invisible dynamics in the human immune system, showing that there are multiple processes happening on a "nanoscale" that was previously out of reach. That new view is already reshaping how immunity is understood.

PCWorld reports that Samsung may replace Windows 11 with Android 17 and One UI 9 on future Galaxy Book laptops for a more unified device experience. This potential shift coincides with Google introducing Aluminium OS, a new ChromeOS replacement, at their upcoming I/O conference. The move could significantly impact the laptop market by challenging Windows dominance, though Samsung's launch timeline remains unclear. It appears that Samsung is considering dropping the Windows 11 operating system on its future Galaxy Book laptops. SamMobile reports that the company is working on Galaxy Book laptops that will instead run Android 17 and One UI 9. It's unclear why Samsung would choose to switch operating systems, but SamMobile speculates that it may be to achieve a more consistent user experience across all the company's products, most of which run some version of Android and One UI.

Dataflow analysis is a fundamental code analysis technique that identifies dependencies between program values. Traditional approaches typically necessitate successful compilation and expert customization, hindering their applicability and usability for analyzing uncompilable programs with evolving analysis needs in real-world scenarios. This paper presents LLMDFA, an LLM-powered compilation-free and customizable dataflow analysis framework. To address hallucinations for reliable results, we decompose the problem into several subtasks and introduce a series of novel strategies. Specifically, we leverage LLMs to synthesize code that outsources delicate reasoning to external expert tools, such as using a parsing library to extract program values of interest and invoking an automated theorem prover to validate path feasibility. Additionally, we adopt a few-shot chain-of-thought prompting to summarize dataflow facts in individual functions, aligning the LLMs with the program semantics of small code snippets to mitigate hallucinations. We evaluate LLMDFA on synthetic programs to detect three representative types of bugs and on real-world Android applications for customized bug detection. On average, LLMDFA achieves 87.10% precision and 80.77% recall, surpassing existing techniques with F1 score improvements of up to 0.35.

This startup's new mechanistic interpretability tool lets you debug LLMs Goodfire wants to make training AI models more like good old-fashioned software engineering. The San Francisco-based startup Goodfire just released a new tool, called Silico, that lets researchers and engineers peer inside an AI model and adjust its parameters--the settings that determine a model's behavior --during training. This could give model makers more fine-grained control over how this technology is built than was once thought possible. Goodfire claims Silico is the first off-the-shelf tool of its kind that can help developers debug all stages of the development process, from building a data set to training a model. LLMs contain a LOT of parameters. The company says its mission is to make building AI models less like alchemy and more like a science.

The Kentucky-based builder shows how carpentry and a spark of creativity can go a long way. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. PSA: Basic sailing technique and safety precautions are needed for safe homemade ships. Breakthroughs, discoveries, and DIY tips sent six days a week. It traditionally takes years of training and apprenticeship before shipbuilders truly master the art of handcrafting wooden vessels .

Following the release of GPT-5.5 last week, people noticed something funny about OpenAI's latest model. In its Codex coding app, the company left a system prompt instructing GPT 5.5 to avoid mention of goblins, gremlins and other creatures. Yes, you read that right. Never talk about goblins, gremlins, racoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query, the prompt reads. Apparently, enough people started talking about ChatGPT's creature obsession that OpenAI felt the need to provide an accounting of where the goblins came from .

This paper introduces a novel prior called Diversified Block Sparse Prior to characterize the widespread block sparsity phenomenon in real-world data. By allowing diversification on intra-block variance and inter-block correlation matrices, we effectively address the sensitivity issue of existing block sparse learning methods to pre-defined block information, which enables adaptive block estimation while mitigating the risk of overfitting. Based on this, a diversified block sparse Bayesian learning method (DivSBL) is proposed, utilizing EM algorithm and dual ascent method for hyperparameter estimation. Moreover, we establish the global and local optimality theory of our model.

PCWorld reports that Google is exploring adding advertisements to its Gemini AI app, following OpenAI's implementation of sponsored ads in ChatGPT's free and budget plans. Google's business chief Philipp Schindler views ads as potentially valuable commercial information if properly integrated, while the company has already tested ads in AI Mode and AI Overviews. This move could make AI services more accessible but raises important concerns about maintaining transparency and ensuring ads don't influence AI responses. Putting ads in AI replies is a controversial but lucrative practice, and it's one that OpenAI has already embraced with its free and budget-priced ChatGPT plans. But while Google hasn't gone there yet with Gemini, company execs admitted they're mulling the idea.