interactive charts

Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.

Enterprise AI's most pressing risk isn't rogue autonomous agents—it's the escalating complexity of agent interactions. As organizations deploy fleets of agents, each triggering a cascade of API calls and impacting interconnected systems, governance becomes increasingly opaque. This “windy, complicated system” demands immediate attention, as it can lead to unapproved actions and accountability gaps. Gravitee’s analysis highlights the need for robust identity, oversight, and enforcement to ensure AI scalability and control—a critical step toward Human-Agent Harmony.

Timing Charts: A Blueprint For SMIL Animations

Unlock the power of SVG animation with Timing Charts: A Blueprint for SMIL. Often overlooked, SMIL provides a native, tag-based approach to animating SVGs directly within `<svg>` tags—eliminating the need for JavaScript. This guide reveals how SMIL can fully animate every element within your SVGs, offering a streamlined and efficient workflow. Explore this accessible method for dynamic visuals. For related insights into optimizing web performance, see our article, "Next.js 16.3: Instant Navigations..."

Meta returns to open source with Muse Glimmer, an Apache 2.0 licensed 30B parameter AI model optimized for agents — available now

Meta’s return to open source with Muse Glimmer marks a significant shift in the AI landscape. This 30-billion-parameter model, licensed under the permissive Apache 2.0, is specifically optimized for autonomous AI agents and designed to run directly on consumer hardware like Macs and PCs. Unlike previous Meta releases, Glimmer offers unrestricted commercial use and redistribution. The model's ability to operate locally, without cloud dependency, enhances data privacy and reduces costs, as demonstrated by its efficient performance on just 24GB of VRAM.

Matplotlib vs Plotly: Which Python Chart Tool Should You Choose?

Navigating the world of Python charting can feel overwhelming. Choosing between Matplotlib and Plotly depends on your goals. Matplotlib remains a reliable choice for generating static, publication-ready plots—a foundational tool for many data scientists. However, Plotly excels in interactive data exploration, enabling dynamic visualizations and user engagement. For those seeking to build data agents and conversational interfaces, as explored in "I Built an AI Data Agent," Plotly’s interactivity offers a significant advantage. Discover which tool best empowers your data journey.

No cloud, no GPUs, no problem: Liquid AI's new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

Liquid AI has unveiled LFM2.5-2.6B, a new open-weight language model designed to bring powerful AI agents to devices as small as a Raspberry Pi – a significant step toward accessible edge AI. This model, boasting 2.6 billion parameters and a 128,000-token context window, runs entirely on local hardware without cloud inference or GPUs, ideal for high-volume tasks like automation and connectivity-limited environments. Explore how this innovative solution transforms data management and expands possibilities for enterprises, as highlighted in our recent coverage of Qwen 3.8-Max.

Qwen3.8-Max arrives with a bold claim: it outperforms GPT-5.6 Sol Max and Fable 5 on agentic computer use

Alibaba's Qwen3.8-Max arrives with a bold claim: it outperforms GPT-5.6 Sol Max and Fable 5 in agentic computer use, demonstrating leadership on key benchmarks like OSWorld-Verified (86.1). This 2.4-trillion-parameter model targets autonomous software engineering and long-horizon enterprise work, potentially reshaping how organizations approach automation. Notably, Qwen plans to release open weights next week, a move that could significantly broaden enterprise adoption—provided the licensing terms prove permissive.

Looking for the right pipeline to convert academic textbook figures into interactive/editable assets [R]

Inflection AI returns to consumer market with Pi Journeys after Microsoft upheaval

Inflection AI is returning to the consumer market with Pi Journeys, a new research division and experimental product focused on building AI relationships rather than simply processing requests. Following a significant restructuring and Microsoft acquisition last year, the company now argues that the future of AI lies in relational intelligence—AI that understands and supports users within the context of their lives and relationships.

Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way

Google DeepMind has unveiled the Gemini 3.6 Flash model, engineered to significantly reduce AI agent token costs—cutting them by up to 65% on demanding long-horizon engineering tasks. Priced competitively at $1.50/$7.50 per million input/output tokens, it joins the Gemini 3.5 Flash-Lite ($0.30/$2.50) and specialized Gemini 3.5 Flash Cyber models, all designed to enhance speed, intelligence, and scalability. These advancements prioritize efficiency, streamlining workflows and empowering developers—a strategy mirrored in Weka's recent storage platform innovations. Gemini 3.5 Pro remains

Matching AI Modality To User Intent: Designing The Right Interface

The rush to integrate AI often defaults to chat interfaces, overlooking a fundamental principle of user experience: matching modality to intent. Simply because Large Language Models thrive on dialogue doesn’t mean every AI capability should be presented conversationally. Great UX prioritizes the user, adapting the interface to their context and cognitive load. Explore how shifting beyond conversational tunnel vision unlocks more intuitive and effective data interactions—as discussed further in "Users Don’t Need More Tools: They Need Seamless Integrations."

Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips

Meituan has unveiled LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts (MoE) agentic coding model now openly available on GitHub, Hugging Face, and its platform. This near-frontier model, previously powering the anonymous "Owl Alpha" which topped OpenRouter charts, disrupts enterprise AI dominance with a permissive MIT license and a unique 1-million-token context window. Notably, LongCat-2.0 was trained entirely on Chinese-manufactured chips, signaling a potential shift in AI infrastructure. Explore its competitive pricing structure and discover how it’s reshaping autonomous software engineering, as detailed in related

Data Scientist Roadmap for Beginners (2026–2027)

## Data Scientist Roadmap for Beginners (2026–2027) Navigating the path to becoming a data scientist can feel overwhelming. This roadmap clarifies exactly what to learn, in what order, and how long it realistically takes to achieve job readiness by 2027 – whether you’re starting from zero or transitioning from data analysis, engineering, or research. We cut through the noise surrounding Python vs. R, degree requirements, and the rise of Generative AI to provide a focused, actionable plan.

No Claude Fable 5? No problem: Sakana achieves frontier performance with new Fugu multi-model, auto synthesis system

Following Anthropic’s recent move to restrict access to its powerful Claude Fable 5 and Claude Mythos 5 models, Sakana AI has launched Fugu, a novel multi-model orchestration system designed to deliver frontier-level AI performance via a familiar OpenAI-compatible API. This innovative system dynamically routes queries across a pool of specialized AI agents, providing resilience against vendor lock-in and geopolitical export controls.

Anthropic's Claude Code Artifacts update brings live, shared dashboards and interactive workspaces to enterprises

Anthropic’s Claude Code now delivers live, shared dashboards and interactive workspaces for enterprises through its new Artifacts feature. Transforming a Claude Code session into a custom, shareable HTML webpage, Artifacts allow users to connect live code and data sources, creating dynamic visualizations for teams. This eliminates the need for manual status updates and facilitates clearer communication between engineers and stakeholders. As highlighted by Claude Code lead Boris Cherny, Artifacts are "a game changer" for collaborative workflows, and closely mirror a recent feature release from OpenAI.

Best Data Analytics Courses in 2026

Finding the best data analytics course in 2026 requires navigating a diverse landscape of tools, roles, and learning objectives. This guide reviews ten leading courses, ranging from foundational certificates to immersive, project-based programs and even free official training for platforms like Tableau and Power BI. We’ve prioritized options that empower users to transform their data skills and achieve tangible results. For a broader perspective on incorporating user insights, explore our related article, "The Benefits Of Cognitive Inclusion In UX Research."

Google says Gemini 3.5 Flash can slash enterprise AI costs by more than $1 billion a year

At the recent I/O developer conference, Google unveiled Gemini 3.5 Flash, a groundbreaking AI model that promises to significantly reduce enterprise AI costs by over $1 billion annually. This innovative model defies the conventional belief that higher quality must come at a greater expense and slower performance. By optimizing speed and efficiency, 3.5 Flash empowers organizations to manage their AI workloads more effectively. For a comprehensive look at AI advancements, check out our article on "Apple announces Apple Intelligence powered accessibility feature updates."

AI IQ is here: a new site scores frontier AI models on the human IQ scale. The results are already dividing tech.

Introducing AI IQ, a groundbreaking platform that assigns estimated IQ scores to over 50 leading AI language models, using the familiar yardstick of human intelligence. This innovative approach offers interactive visualizations at aiiq.org, making the complexity of AI advancements more accessible. While praised for its clarity by technologists, it also faces criticism for oversimplifying AI capabilities into a single number. For a deeper dive into the future of AI and its evolving landscape, explore our related article on Anthropic’s vision for proactive AI.

Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google

Perceptron Inc. has launched its flagship video analysis AI model, Mk1, offering advanced capabilities at a fraction of the cost of competitors like Anthropic and OpenAI. Priced at just $0.15 per million input tokens, Mk1 empowers enterprises to harness real-time video insights for security, marketing, and research applications. With a focus on understanding object dynamics and physical interactions, this model sets a new standard for accessible, efficient AI solutions. Explore how Perceptron Mk1 can transform your workflows and elevate your data management strategies.

Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'

Thinking Machines is pushing the boundaries of AI interaction with its new 'interaction models,' which promise to revolutionize how we engage with technology. Unlike traditional turn-based chat, these models enable near-real-time, simultaneous processing of voice and video inputs, allowing for a fluid conversational experience. By integrating dialogue management with background reasoning, the system significantly reduces latency and enhances interaction quality. This innovation could transform enterprise workflows, offering capabilities like proactive safety monitoring and responsive customer service, ultimately making AI a more intuitive collaborator.

Power BI Tutorial: Create Your First Dashboard

Welcome to our Power BI tutorial, where you’ll transform a raw data file into a polished, published report. This guide will walk you through the entire process, from initial data queries to deploying your finished dashboard in the cloud. You’ll learn to create an interactive dashboard that not only visualizes your data effectively but also includes essential features like alerts and automatic refresh settings. By the end, you’ll have the skills to empower your data storytelling and enhance your decision-making. Let's dive in and explore!

Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]

Artificial intelligence (AI) is transforming society, yet significant gaps exist between how AI experts and the public perceive its risks, benefits, and overall value. This study evaluates responses from 1,110 individuals and 119 AI experts across 71 scenarios, revealing that experts often downplay risks while emphasizing benefits more than the public does. These divergent views highlight crucial areas for communication and policy that may influence trust and governance in AI.

Designing Stable Interfaces For Streaming Content

Designing stable interfaces for streaming content may seem straightforward, but the reality is far more complex. Effective streaming UIs require careful consideration of various factors, including layout shifts, motion preferences, and appropriate markup. Designers must anticipate potential interruptions in the stream and ensure users can navigate seamlessly through the interface, even as it evolves. Additionally, the implementation of ARIA attributes is crucial for accessibility. By addressing these challenges, designers can create a more engaging and user-friendly experience that enhances content consumption.

Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it

Researchers at Alibaba have tackled a significant challenge in AI agent development by introducing Hierarchical Decoupled Policy Optimization (HDPO). This innovative reinforcement learning framework trains agents to intelligently choose between using external tools and relying on their internal knowledge. The result is Metis, a multimodal AI model that dramatically reduces redundant tool calls from 98% to just 2%, while achieving state-of-the-art reasoning accuracy. By enhancing decision-making capabilities, Metis exemplifies a shift towards more efficient and effective AI systems, prioritizing accuracy without unnecessary tool invocation.

Designing Stable Interfaces For Streaming Content

Designing stable interfaces for streaming content may seem straightforward, yet it encompasses a range of complexities that require careful consideration. From handling layout shifts and accommodating motion preferences to ensuring proper markup and managing various UI states, the nuances are critical for user experience. Key questions arise: How should the interface react during stream interruptions? Can users navigate seamlessly with a keyboard as the UI evolves? Additionally, understanding the necessary ARIA attributes is vital for accessibility.