The day's AI news, briefed
The Daily Prompt
Our AI editor reads each day's AI and robotics stories, pulls out why they matter, and links every original source — so you can keep up in minutes.
Join over 250,000 subscribers getting the latest AI news
Latest AI & Robotics News Today
MSK and OpenEvidence Announce Two-Way Oncology AI Integration
This partnership enhances access to precision oncology data, enabling broader integration of expert cancer genomic analysis into clinical decision-making, potentially improving patient outcomes across the U.S.
- Memorial Sloan Kettering Cancer Center and OpenEvidence announced a partnership integrating OpenEvidence's medical AI platform with MSK's Epic electronic health record workflow on September 16, 2026.
- The integration allows OncoKB's expert cancer genomic data to be used by providers outside of MSK, delivering context-driven clinical decision support.
- OncoKB contains curated annotations for cancer genomic alterations, aiding in identifying clinically actionable biomarkers for treatment decisions, validated by experts.
- More than half of U.S. hematologist-oncologists use OpenEvidence, highlighting its significance in clinical decisions involving complex oncology cases.
Memorial Sloan Kettering Cancer Center is a leading cancer treatment and research institution, known for its expertise in precision oncology. OpenEvidence is a medical AI platform used by healthcare providers to enhance clinical decision-making. This partnership represents a step towards wider adoption of advanced oncology data integration in clinical practice.
Read the original ↗
Rune Raises $40M to Turn Stranded Solar Power Into AI Compute
Modern data centers face challenges in securing sufficient electricity, making Rune's approach to harness stranded solar energy for AI compute essential for future infrastructure.
- Rune has raised $40 million in Series A funding, bringing its total funding to $53.5 million.
- The funding will accelerate the deployment of Rune's RELIC system, a modular data-center solution installed at renewable energy sites.
- RELIC consumes electricity directly from solar facilities, addressing constraints in traditional data centers that rely on grid connections.
- The first deployment of RELIC is at a 200 MW solar facility in Texas, enabling quicker access to computing power without needing new grid infrastructure.
- Rune's architecture allows compute loads to adjust rapidly based on available renewable energy.
Rune is an energy infrastructure startup addressing electricity access for AI computing by integrating data centers with renewable energy sources. The company aims to optimize the use of underutilized solar energy, offering an alternative to traditional power generation methods. Future developments will likely focus on expanding deployments and enhancing connections with renewable energy operators.
Read the original ↗
Denise Ruffner, VP Business Development and Commercial Operations Worldwide, Haiqu – Interview Series
Denise Ruffner's leadership at Haiqu aims to advance the commercialization of quantum software, addressing the crucial gap between experimental research and viable business applications.
- Denise Ruffner has joined Haiqu as VP of Business Development, bringing extensive experience from previous roles at companies such as IBM and IonQ.
- Haiqu develops an Agentic Operating System designed to streamline quantum research and application development, advancing beyond theoretical experiments to practical applications.
- Ruffner plans to broaden the global commercialization of HaiquOS, emphasizing a realistic approach to quantum capabilities while building market credibility.
Haiqu is a quantum software company focused on developing tools for quantum research teams, facilitating the transition from research to application. It aims to provide valuable solutions even with current quantum hardware limitations, promoting readiness for future advancements. The company has evolved rapidly since its founding, indicating significant progress within the quantum software space.
Read the original ↗
Scalenut Review: The Best AI SEO Writing Generator? (September 2026)
Scalenut's capabilities for creating optimized content can impact how marketers and businesses improve their online presence and search rankings.
- Scalenut allows users to write and optimize both long and short-form content using integrated SEO tools.
- It features a Topic Cluster tool to aid in content strategy and improve search engine rankings.
- Founded in India in 2020, Scalenut has gained over 100,000 users, including major brands like Adobe and Amazon.
Scalenut is an AI-powered writing tool that integrates content creation with SEO optimization. It was created to help content marketers efficiently generate and optimize articles for search engines. Users can expect ongoing updates and enhancements as the platform evolves in response to market demands.
Read the original ↗
Surfer SEO Review: The Best AI SEO Tool? (September 2026)
Effective search engine optimization (SEO) is crucial for website visibility, and tools like Surfer SEO can significantly improve content performance and traffic.
- Surfer SEO provides tools to optimize blog posts, enhance organic rankings, and increase website traffic.
- Key features include a Content Editor, SERP Analyzer, Keyword Research, and an AI-driven writing assistant called Surfer AI.
- The SERP Analyzer helps users understand top-ranking competitors to improve their content strategies based on keyword insights.
Surfer SEO is a software application designed to assist users in optimizing their content for search visibility. It includes various features aimed at enhancing on-page SEO and user engagement. Upcoming advancements may further integrate AI to streamline content creation and optimization.
Read the original ↗
Copy AI Review: The Best AI Writing Tool? (September 2026)
The review of Copy.ai highlights its evolving capabilities for automating sales and marketing tasks, emphasizing its potential impact for businesses looking to enhance operational efficiency.
- Copy.ai, launched in 2020, claims to be a 'GTM AI platform' for sales and marketing teams following its acquisition by Fullcast in October 2025.
- Features include workflows, Brand Voice, and a Content Agent Studio, with pricing plans ranging from $29 to $249 per month.
- Copy.ai integrates with over 2,000 tools and supports automation of tasks like personalized outreach and content repurposing for B2B teams.
Copy.ai is an AI-powered writing tool designed for marketing and sales, initially focusing on generating copy. It has developed into a comprehensive platform facilitating multi-step process automation, particularly aimed at B2B users. The review assesses its performance against competitors like ChatGPT and Jasper.
Read the original ↗
10 Best AI Email Generators (September 2026)
AI email generators are essential tools for marketers and professionals, streamlining the creation of tailored messages and campaigns, leading to improved communication efficiency.
- GetResponse ranks first for its ability to generate complete, campaign-ready emails within a marketing platform, including subject lines and layouts.
- Fyxer, ranking second, offers an AI email assistant that personalizes replies directly in Gmail and Outlook based on prior conversations.
- HubSpot ranks third for integrating email generation with its CRM to help create targeted marketing and sales messages.
- Jasper, ranked fourth, specializes in applying brand and style context across multiple email versions for marketing teams.
- Other notable options include Grammarly, Copy.ai, and Lavender, each offering unique features for email drafting and editing.
AI email generators automate the process of writing emails, appealing to users across marketing, sales, and professional settings. The market has evolved with various tools catering to distinct email generation needs, from comprehensive campaign management to simple reply assistance. These generators are particularly valuable now as communication demands grow in digital business environments.
Read the original ↗
Sudowrite Review: Can AI Write a Novel That Sounds Human?
The rise of AI writing tools like Sudowrite is transforming how authors approach the creative process, potentially speeding up novel writing while raising questions about authenticity and creativity in literature.
- Sudowrite is an AI-powered writing tool that assists authors throughout the book writing process.
- The tool offers a free plan providing 50,000 credits and facilitates writing in various languages.
- It includes features like brainstorming, outlining, and editing to support writers with creative block.
- Sudowrite is designed for different user groups, including fiction writers, students, bloggers, and marketers.
- The platform utilizes advanced AI models trained to generate original content and refine user writing styles.
Sudowrite, founded by Amit Gupta and James Yu, aims to assist human writers by providing practical AI tools for generating and editing text. The demand for AI writing solutions has increased as more writers seek ways to enhance their creative output. Future developments to watch for include improvements in AI capabilities and broader applications for different writing genres.
Read the original ↗
Writesonic Review: Can AI Get My Article to #1 on Google?
As AI search impacts content visibility, understanding tools like Writesonic can help organizations improve their online presence and visibility in AI-generated results.
- Writesonic now focuses on enhancing brand visibility in AI search results, having evolved from a simple AI writing tool.
- It tracks over 2 billion AI conversations to identify gaps in brand mentions and content recommendations.
- The platform features an Action Center that prioritizes improvements for AI visibility, monitoring mentions and citations across AI tools.
Writesonic initially launched as an AI copywriting tool but shifted its focus to help brands understand their visibility within AI-generated search results. The platform offers tools for tracking and improving content performance, an essential aspect of modern digital marketing as AI search evolves.
Read the original ↗
Anyword Review: Is It the Right AI Writing Tool For You?
Anyword offers a streamlined approach to content creation, enabling marketers and businesses to enhance engagement and optimize their messaging effectively across various platforms.
- Anyword is an AI writing tool aimed at marketers for creating content across emails, ads, social media, and blogs.
- It features a predictive performance tool that estimates content success before publication, which is unique among similar platforms.
- The platform includes over 100 templates and a 7-day free trial with 2,500-word credits, making it user-friendly for various content needs.
- Anyword also integrates with tools like ChatGPT and HubSpot, allowing for customized content creation based on brand guidelines.
Anyword is a cutting-edge AI-powered writing tool designed to assist marketers and content creators with efficient content generation and optimization. It utilizes natural language processing (NLP) and machine learning to provide data-driven insights and performance scoring. Future developments may focus on enhancing long-form content capabilities and the accuracy of performance predictions.
Read the original ↗
Content at Scale Review: The Most Humanlike AI Writer?
The emergence of AI writing tools like Content at Scale is significant as they can streamline content creation and improve SEO rankings, impacting digital marketing strategies.
- Content at Scale claims to generate highly humanlike content through the use of over three language learning models (LLMs).
- The platform features optimization tools like RankWell® for keyword analysis and a plagiarism checker to support content quality.
- Content at Scale is designed for diverse users, including freelance writers, marketing teams, and large site publishers, enhancing efficiency in content production.
Content at Scale is an AI writing platform that simplifies and automates the creation of SEO-optimized content. It is particularly noted for its ability to produce human-like qualitative results and serve various content creators. Users can expect a suite of features aimed at improving search engine rankings and enhancing the writing workflow.
Read the original ↗
Jasper AI Review: Great for Brands, Weak for Writing?
The article outlines Jasper AI's transformation from a basic writing tool to a comprehensive marketing platform, raising questions about its value for content creation.
- Jasper has evolved from an AI writing tool to a broader marketing platform aimed at maintaining brand consistency, workflows, and marketing AI agents.
- The platform now serves over 900 enterprise customers, including 20% of the Fortune 500, indicating its broad adoption in the marketplace.
- Jasper offers numerous features like AI agents, shared workspaces, and brand management tools, though initial writing quality may require significant editing.
- No free plan is available; the only way to evaluate Jasper is through a 7-day trial, leaving potential users with limited time to assess its capabilities.
Jasper AI initially functioned primarily as a writing assistant but has recently shifted focus to include a comprehensive suite of marketing tools. It now integrates brand voice, content pipelines, and over 100 AI agents for specialized marketing tasks. As more companies seek consistent and effective brand communication, Jasper's features position it well in this evolving landscape.
Read the original ↗
Meet a mouse whose brain cortex is made up of human cells
The creation of mice with human brain cells raises important questions about ethics, consciousness, and the future of neuroscience research, particularly in studying brain function and injury recovery.
- A team at Stanford University has genetically modified mice to replace nearly half of their brain volume with human cells, resulting in what they call 'xenocortical mice'.
- These modified mice performed better in maze tests compared to those without human cells, indicating a role of human neural tissue in enhancing cognition.
- The research demonstrates the potential of combining genetic engineering and stem-cell technology to reshape biological understanding and applications.
Xenocortical mice are an advancement in organoid technology, in which human brain organoids - small clusters of developed neural tissue - are introduced into other species. This builds on prior research that showed human organoids could survive in rodents. Future studies may explore ethical implications and the application of such technologies in medicine, particularly regarding cognitive functions.
Read the original ↗
Robots are waiting for a ChatGPT moment: Nvidia’s Les Karpas explains why at TechCrunch Disrupt 2026
Understanding the challenges faced by robotics in achieving a transformative breakthrough like ChatGPT can inform future advancements in physical AI and its applications.
- Nvidia's Global Head of Physical AI, Les Karpas, will discuss robotics' need for a breakthrough similar to ChatGPT at TechCrunch Disrupt 2026.
- The event takes place from October 13-15 in San Francisco and will host over 10,000 tech leaders and investors.
- Karpas highlights the lack of a comprehensive dataset for physical AI, which poses a major challenge for general-purpose robots.
Nvidia is actively involved in advancing robotics and artificial intelligence, striving to overcome limitations in data availability for physical AI. The challenges in this field have led to collaboration with various startups and the creation of specialized events like TechCrunch Disrupt to foster innovation.
Read the original ↗
Novo Nordisk Taps Anthropic’s Claude to Speed Drug Discovery
This collaboration between Novo Nordisk and Anthropic could significantly enhance the efficiency and speed of drug discovery processes, impacting healthcare innovation.
- Novo Nordisk will utilize Anthropic's AI models and the Claude Science workbench to streamline drug discovery and development processes.
- The collaboration aims to address specific scientific challenges in R&D and improve productivity by leveraging advanced AI capabilities.
- Previous successes with Claude include reducing clinical documentation time from over ten weeks to just ten minutes, showcasing the potential for further efficiencies.
Novo Nordisk is a global healthcare company specializing in diabetes and chronic disease treatments. Their partnership with Anthropic represents an effort to enhance AI integration in drug development, with Claude Science providing advanced scientific tools. This collaboration follows successful initial deployments of AI technologies in Novo Nordisk’s operations.
Read the original ↗Artificial Intelligence (518)
Effective evaluations are crucial for the development and improvement of AI agents, impacting their reliability and performance across various applications.
- The article discusses how to build effective evaluations for AI agents.
- Effective evaluations can enhance the reliability and performance of AI agents.
AI agents are software systems designed to perform tasks that typically require human intelligence. Evaluations help developers understand and improve the capabilities of these systems. Future advancements in AI will likely focus on refining these evaluation processes.
Based on the headline only — the full article could not be fetched.
Read the original ↗
Apple Reference Images Explained: The iPhone 18 Pro’s Hardware Solution to AI Slop
Apple's new reference image technology aims to enhance photo authenticity, providing a way to distinguish between real and AI-generated images, which is increasingly important in today's digital landscape.
- Apple introduced reference images with the iPhone 18 Pro to help verify photo authenticity and provenance.
- Reference mode captures signature data on a pixel level and requires the new camera sensor found only in the iPhone 18 Pro and iPhone 18 Pro Max.
- The feature can create larger photo files ranging from 12 to 48 megapixels, which can store more raw data, benefiting professional photographers.
- Reference images include a secured timestamp and can be viewed on older devices compatible with iOS 27, iPadOS 27, or macOS Golden Gate.
- Apple supports the SynthID initiative for embedding invisible markers in AI-generated content, while reference images are not available for EU and China users upon launch.
Apple aims to combat the confusion between real and AI images with its new reference image capability on the iPhone 18 Pro series. This technology offers a hardware-based solution as alternatives like the C2PA standard have vulnerabilities. Future developments may expand the availability of reference images and enhance their utility in professional photography and content verification.
Read the original ↗
Former Infosys chief’s AI startup nabs another $53M
Investors are increasingly backing AI startups that promise to transform enterprise software development, representing significant interest in innovation within this sector.
- Hang Ten Systems, an AI startup founded by former Infosys CEO Vishal Sikka, raised an additional $53 million just five weeks after an initial $32 million seed round.
- The company has secured multiple seven-figure contracts and is pursuing eight-figure deals, indicating strong market demand.
- Founded in May, Hang Ten focuses on advising companies on AI strategy and modernizing software, targeting large enterprises with over $10 billion in annual revenue.
Hang Ten Systems aims to adapt AI technologies to improve and streamline software development processes for large corporations. As the enterprise AI market grows, competition intensifies between new startups and established consulting firms. The startup’s innovative approach and early success could reshape how software solutions are developed in the industry.
Read the original ↗
Residential Proxies as the Next Front in the AI Wars
The use of residential proxies in accessing online data raises concerns about privacy, regulation, and the balance of power between AI companies and data providers.
- AI models require continuous data from the internet to prevent knowledge stagnation, but data sources are now seeking to monetize access.
- Residential proxies allow AI companies to bypass restrictions by routing traffic through actual user IP addresses, avoiding blacklists.
- As regulations grow around anonymity and age verification, residential proxies may face increased scrutiny from authorities, similar to that experienced by VPNs.
- The demand for residential proxies surged 25% in a year, driven primarily by the needs of AI-related web scraping activities.
Residential proxies use the IP addresses of individual users to mask data requests, which helps avoid detection and blocks from websites. This practice is becoming more common as AI companies seek to train models using scraped data. Attention is shifting towards how legislation might regulate or impact this practice in the near future.
Read the original ↗
The Hardest AI Security Problems Now Live Outside the Model
The evolving landscape of AI security exposes critical vulnerabilities in how AI models interact with enterprise systems, necessitating a reevaluation of security protocols and practices.
- The 2026 OWASP Top 10 for LLM Applications reflects a shift in AI security challenges as companies move beyond theoretical risks to real-world integration complexities.
- 'Excessive Agency' and 'Unbounded Consumption' are now prioritized security concerns, highlighting vulnerabilities in LLM interactions with enterprise tools.
- Effective security now demands defining boundaries of AI model outputs and implementing strict measures to manage authorization and tool interactions.
The OWASP (Open Web Application Security Project) provides a widely recognized top 10 list of application security risks. The report reflects an increasing maturity of production AIs as they encounter real-world environments, prompting organizations to reassess their security measures, especially regarding autonomous AI systems and their permissions.
Read the original ↗