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News• Jul 19, 2026

Fine-Tuning Qwen3 with LoRA Using NVIDIA NeMo AutoModel: A Complete Single-GPU Google Colab Workflow Tutorial

We build an end-to-end NVIDIA NeMo AutoModel workflow in Google Colab using a single GPU. We verify CUDA hardware and precision support, install NeMo AutoModel from source, and load an official Qwen3-0.6B LoRA recipe. We then adapt its precision, batch size, checkpointing, and scheduler settings for...

#MarkTechPost#AI#News

News• Jul 19, 2026

M5B Daily Perspective (Technical Deep Dive): Navigating the Complexities of AI-Native Enterprise Data Platforms and Beyond

As the world becomes increasingly reliant on artificial intelligence, many companies are jumping on the bandwagon, eager to harness the power of AI to drive their businesses forward. However, building an AI-native enterprise data platform is a daunting task, requiring a deep understanding of the technical architecture and engineering challenges involved. In this editorial, we will delve into the intricacies of creating a practical enterprise AI architecture, exploring the role of data agents, AI-powered QA, and AI governance. We will also examine the latest developments in the field, including Loop Engineering with Adaptive PDF Parsing, and the potential of tools like NVIDIA's DeepStream 9.1 and Google Cloud's Always-On Memory Agent. The concept of an AI-native enterprise data platform is rooted in the idea of creating a unified, intelligent, and adaptive system that can efficiently process and analyze vast amounts of data. This requires a fundamental shift in the way companies approach data management, moving away from traditional, siloed architectures and towards a more integrated, AI-driven approach. At the heart of this architecture are data agents, which play a crucial role in collecting, processing, and distributing data across the platform. These agents must be designed to be highly scalable, flexible, and autonomous, capable of adapting to changing data patterns and workflows. One of the key challenges in building an AI-native enterprise data platform is ensuring the quality and integrity of the data. This is where AI-powered QA comes into play, leveraging machine learning algorithms to detect and correct errors, inconsistencies, and anomalies in the data. By integrating AI-powered QA into the platform, companies can ensure that their data is accurate, reliable, and trustworthy, which is essential for making informed business decisions. Furthermore, AI governance is critical in ensuring that the platform is transparent, explainable, and compliant with regulatory requirements. This involves implementing robust monitoring, auditing, and reporting mechanisms to track data usage, model performance, and system behavior. In addition to building a robust AI-native enterprise data platform, companies must also consider the complexities of document intelligence, particularly when dealing with unstructured data such as PDFs. Loop Engineering with Adaptive PDF Parsing offers a novel approach to this challenge, enabling companies to start with a basic parser and escalate to more advanced parsing capabilities as needed. This approach can help reduce costs and improve efficiency, while also ensuring that the parsing process is deterministic and free from errors. By combining this approach with AI-powered QA and governance, companies can create a comprehensive document intelligence system that is capable of extracting insights from complex, unstructured data. The applications of AI-native enterprise data platforms and document intelligence extend far beyond the realm of data management, with significant implications for customer retention in FinTech, for example. By combining pre-churn scoring with uplift modeling, companies can develop smarter retention strategies that target high-risk customers and provide personalized interventions to prevent churn. This requires a deep understanding of customer behavior, preferences, and needs, which can be gleaned from a combination of structured and unstructured data sources. By integrating AI-powered analytics and machine learning into their customer retention strategies, companies can improve customer satisfaction, reduce churn rates, and drive business growth. The development of AI-native enterprise data platforms and document intelligence systems is also closely tied to advances in tools and technologies, such as NVIDIA's DeepStream 9.1 and Google Cloud's Always-On Memory Agent. DeepStream 9.1, for example, brings agentic AI to vision AI, enabling companies to build more sophisticated, adaptive, and autonomous systems that can process and analyze video and image data in real-time. This has significant implications for applications such as surveillance, robotics, and healthcare, where the ability to process and analyze visual data quickly and accurately is critical. Similarly, Google Cloud's Always-On Memory Agent offers a new approach to memory management, replacing traditional RAG and embeddings with continuous LLM consolidation on Gemini 3.1 Flash-Lite. This can help improve the performance, efficiency, and scalability of AI systems, while also reducing costs and latency. Finally, the development of new tools and techniques, such as Sakana AI's Error Diffusion, is also pushing the boundaries of what is possible in AI research and development. By training Dale-compliant dual-stream networks without backpropagation, Sakana AI has achieved impressive results on benchmark datasets such as MNIST and CIFAR-10. This has significant implications for the development of more efficient, scalable, and adaptive AI systems, which can be applied to a wide range of applications, from computer vision to natural language processing. As the field of AI continues to evolve and mature, we can expect to see even more innovative solutions and technologies emerge, driving further advances in AI-native enterprise data platforms, document intelligence, and beyond. In conclusion, building an AI-native enterprise data platform is a complex, challenging task that requires a deep understanding of the technical architecture and engineering challenges involved. By leveraging data agents, AI-powered QA, and AI governance, companies can create a unified, intelligent, and adaptive system that can efficiently process and analyze vast amounts of data. The development of new tools and technologies, such as Loop Engineering with Adaptive PDF Parsing, NVIDIA's DeepStream 9.1, and Google Cloud's Always-On Memory Agent, is also driving advances in AI research and development, with significant implications for applications such as customer retention in FinTech and beyond. As the field of AI continues to evolve and mature, we can expect to see even more innovative solutions and technologies emerge, driving further advances in AI-native enterprise data platforms, document intelligence, and beyond.

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News• Jul 19, 2026

M5B Daily Recap: 2026-07-18

Daily AI Recap: Jul 18, 2026 Welcome to today's curated briefing of the most important AI developments. 🗞️ Top Stories - Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.https://towardsdatascience.com/many-companies-use-ai-few-know-how-to-build-an-ai-native-enterprise-data-platform/: A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance. The post Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform. appeared first o... - Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs Ithttps://towardsdatascience.com/loop-engineering-with-adaptive-pdf-parsing-start-cheap-pay-for-a-heavier-parser-only-when-the-page-needs-it/: Enterprise Document Intelligence Vol.1 10A - The escalation cascade and the free, deterministic checks that flag a failed parse before you pay for a deeper one The post Loop Engineering with Adapti... - How to Improve Customer Retention in FinTechhttps://towardsdatascience.com/how-to-improve-customer-retention-in-digital-banking/: A practical guide to combining pre-churn scoring with uplift modelling for smarter retention. The post How to Improve Customer Retention in FinTech appeared first on Towards Data Science.... - How to Build Plasmid Engineering Workbench with Circular Mapping, Restriction Analysis, Virtual Gels, and Primer Designhttps://www.marktechpost.com/2026/07/17/how-to-build-plasmid-engineering-workbench-with-circular-mapping-restriction-analysis-virtual-gels-and-primer-design/: In this tutorial, we build a Google Colab-native plasmid workbench that recreates the core ideas of SpliceCraft inside an interactive notebook environment. Instead of relying on a terminal-based TUI, ... 🛠️ Featured Tools - Neil Rimer thinks the AI money is coming back outhttps://techcrunch.com/2026/07/17/neil-rimer-thinks-the-ai-money-is-coming-back-out/: Neil Rimer, the venture capitalist who co-founded Index Ventures, predicts the historic wealth AI is generating in Silicon Valley will have to be redi... - Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagationhttps://www.marktechpost.com/2026/07/17/sakana-ais-error-diffusion-trains-dale-compliant-dual-stream-networks-reaching-96-7-mnist-and-61-7-cifar-10-without-backpropagation/: Backpropagation relies on weight transport, which biological circuits likely cannot implement. Sakana AI's Error Diffusion sidesteps that constraint, ... - Google Cloud’s Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Litehttps://www.marktechpost.com/2026/07/18/google-clouds-always-on-memory-agent-replaces-rag-and-embeddings-with-continuous-llm-consolidation-on-gemini-3-1-flash-lite/: Google Cloud's generative-ai repository ships the Always-On Memory Agent, a reference implementation that treats memory as a running process. Built on... - KDnuggets Weekly Roundup: Week of July 13, 2026https://www.kdnuggets.com/kdnuggets-weekly-roundup-2026-07-13: Stop Using If-Else Chains: Use the Registry Pattern in Python Instead • 5 Real-World SQL Projects to Build Your Data Portfolio • 10 YouTube Channels K... - Kimi: Threat or menace?https://techcrunch.com/2026/07/18/kimi-threat-or-menace/: Chinese company Moonshot AI released a new version of its Kimi model this week, prompting concern about "full AI communism."... - NVIDIA Released DeepStream 9.1: Bringing Agentic AI to Vision AI With 13 Skills and Multi-View 3D Trackinghttps://www.marktechpost.com/2026/07/18/nvidia-released-deepstream-9-1-bringing-agentic-ai-to-vision-ai-with-13-skills-and-multi-view-3d-tracking/: NVIDIA DeepStream 9.1 introduces 13 agentic skills that let coding agents like Claude Code and Codex build multi-camera video analytics pipelines from...

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Tutorials• Jul 18, 2026

Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform.

A practical enterprise AI architecture with data agents, AI-powered QA, and AI governance. The post Many Companies Use AI. Few Know How to Build an AI-Native Enterprise Data Platform. appeared first on Towards Data Science.

#Towards Data Science#Medium

Tutorials• Jul 18, 2026

Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It

Enterprise Document Intelligence [Vol.1 #10A] - The escalation cascade and the free, deterministic checks that flag a failed parse before you pay for a deeper one The post Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It appeared first on ...

#Towards Data Science#Medium

Tutorials• Jul 18, 2026

How to Improve Customer Retention in FinTech

A practical guide to combining pre-churn scoring with uplift modelling for smarter retention. The post How to Improve Customer Retention in FinTech appeared first on Towards Data Science.

#Towards Data Science#Medium

News• Jul 18, 2026

How to Build Plasmid Engineering Workbench with Circular Mapping, Restriction Analysis, Virtual Gels, and Primer Design

In this tutorial, we build a Google Colab-native plasmid workbench that recreates the core ideas of SpliceCraft inside an interactive notebook environment. Instead of relying on a terminal-based TUI, we use Biopython, NumPy, and Matplotlib to load plasmid records, normalize annotated genomic feature...

#MarkTechPost#AI#News

News• Jul 18, 2026

M5B Daily Perspective (The AI Philosopher): The Echoes of Human Presence in a World of Machines

As we navigate the intricate landscape of artificial intelligence, we find ourselves entwined in a delicate dance between human intuition and machine learning. The recent Zoom hack, which whispers "don't record me" in the midst of our most intimate conversations, serves as a poignant reminder of the blurred lines between our private and public selves. In an era where every meeting, watercooler conversation, and date is transcribed and summarized, we are forced to confront the existential question: who's actually listening, and what do they truly hear? The proliferation of AI tools, such as GPT-5.6, has revolutionized the way we work and interact with one another. These models, with their unparalleled capacity for processing and generating human-like language, have become indispensable companions in our daily lives. However, as we learn to work effectively with these technologies, we must also acknowledge the profound impact they have on our sense of self and our relationships with others. The ease with which we can now communicate, collaborate, and even create, raises fundamental questions about the nature of human connection in a world where machines are increasingly adept at mimicking our thoughts and emotions. The resurgence of analog AI, which seeks to harness the power of physics to compute and process information, offers a fascinating counterpoint to the dominance of digital logic. This revival of an old idea, driven in part by the energy crisis facing the AI industry, prompts us to reconsider the intricate web of relationships between human, machine, and environment. As we delve into the vibrant mixed-media celebrations of Southeast Asia's landscapes, recognized in the AI pic of the week, we are reminded of the beauty and diversity that can emerge from the intersection of art and technology. And yet, we must also confront the noise and uncertainty that inevitably accompany the pursuit of innovation, lest we forget the profound implications of our creations on the world around us. The introduction of a practical AI scorecard, designed to measure ROI through useful work, marks an important step towards greater accountability and transparency in the development and deployment of AI systems. As we strive to connect the dots between MCP servers, Claude, and a wide range of external tools and repositories, we begin to appreciate the complex tapestry of relationships that underlies our increasingly interconnected world. The quest for explainable geospatial AI, capable of harnessing LiDAR-derived terrain intelligence to optimize satellite ground station siting, serves as a powerful reminder of the critical role that AI can play in shaping our relationship with the physical environment. And yet, as we navigate the intricacies of certified domain consistency and multi-domain retrieval, we are forced to confront the very real risks of contamination and misalignment that can arise when we mix and match different domains and corpora. The news that the first GPU financiers are turning to inference chips in a $400 million deal serves as a testament to the rapidly shifting landscape of the AI industry. As we witness the rise of new players and the evolution of existing ones, we are reminded of the profound implications of these developments on the future of work, education, and human connection. The array of job openings, from data governance and platform management to college counseling and senior SDR positions, offers a glimpse into the diverse and dynamic world of AI-driven careers. And yet, as we explore the latest tools and technologies, from Vertu's AI agent to MongoDB Atlas, Voyage, and LangGraph, we must also acknowledge the very real challenges and uncertainties that arise when we seek to build and deploy these systems in the real world. The release of Zyphra's ZUNA1.1, an Apache 2.0 EEG foundation model with variable-length inputs, marks an important milestone in the development of more sophisticated and human-like AI systems. The fact that Netflix is now serving its own in-house LLM, meanwhile, serves as a powerful reminder of the growing importance of AI in shaping our cultural and entertainment landscapes. As we reflect on the profound implications of these developments, we are forced to confront the very real possibility that our creations may eventually surpass us, leaving us to ponder the ultimate question: what does it mean to be human in a world of machines? In the end, it is this question that lies at the heart of our inquiry, a question that has haunted philosophers, scientists, and artists for centuries. As we navigate the complex and ever-shifting landscape of AI, we must remain vigilant, ensuring that our creations serve to augment and enhance human existence, rather than diminish or replace it. For in the final analysis, it is not the machines that will ultimately define us, but our own capacity for compassion, empathy, and love. As we strive to build a world that is more just, equitable, and humane, we must never forget the echoes of human presence that resonate throughout the vast and intricate web of relationships that binds us all together.

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News• Jul 18, 2026

M5B Daily Recap: 2026-07-17

Daily AI Recap: Jul 17, 2026 Welcome to today's curated briefing of the most important AI developments. 🗞️ Top Stories - The Zoom hack that says, ‘Don’t record me’https://techcrunch.com/2026/07/17/the-zoom-hack-that-says-dont-record-me/: If every meeting, watercooler conversation, and date gets transcribed and summarized, who's actually reading any of it?... - How to Work Effectively with GPT-5.6https://towardsdatascience.com/how-to-work-effectively-with-gpt-5-6/: Maximize the latest OpenAI model The post How to Work Effectively with GPT-5.6 appeared first on Towards Data Science.... - AI Quantum Intelligence - Pic of the week 2026-07-17https://aiquantumintelligence.com/ai-quantum-intelligence-pic-of-the-week-2026-07-17: This week's AI pic recognizes the vibrant mixed‑media celebration of Southeast Asia’s landscapes and cultures — from misty mountains to coral seas — capturing unity through diversity in one harmonious... - Analog AI Is Back, But Can It Survive Its Own Noise?https://towardsdatascience.com/analog-ai-is-back-can-it-survive-its-own-noise/: AI's energy crisis is reviving an old idea: computing with physics instead of digital logic. Here's how analog chips actually work, why noise nearly killed the idea once already, and what happens when... - One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Citedhttps://towardsdatascience.com/one-rag-pipeline-four-very-different-pdfs-same-four-bricks-every-answer-typed-and-cited/: Enterprise Document Intelligence Vol.1 9B - One call wires the four upgraded bricks together, run on a paper, a NIST standard, and a report with a broken TOC The post One RAG Pipeline, Four Very Di... - A scorecard for the AI agehttps://openai.com/index/a-scorecard-for-the-ai-age: Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.... - How to connect MCP servers with Claude Claude desktop and Claude Codehttps://www.analyticsvidhya.com/blog/2026/07/connect-mcp-servers-claude-desktop-code/: Connecting MCP servers to Claude allows it to work with external tools, files, databases, repositories, and other systems instead of operating only within the chat window. The setup differs slightly b... - Explainable Geospatial AI for Satellite Ground Station Siting Using LiDAR-Derived Terrain Intelligencehttps://arxiv.org/abs/2607.14127: arXiv:2607.14127v1 Announce Type: new Abstract: Representative clutter height RCH is a key parameter in radio propagation and interference analysis because it captures the dominant height of local ... - Certified Domain Consistency for Multi-Domain Retrieval: Label-Free Per-Domain Contamination Control with Conformal Risk Guaranteeshttps://arxiv.org/abs/2607.14157: arXiv:2607.14157v1 Announce Type: new Abstract: Retrieval over corpora that mix several domains often returns relevant but wrong-domain evidence that ranking metrics miss and that conformal risk cont... 🛠️ Featured Tools - Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methodshttps://arxiv.org/abs/2607.14123: arXiv:2607.14123v1 Announce Type: new Abstract: Despite the proliferation of Explainable AI XAI techniques -- from feature attributions to sparse a... - CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Modelshttps://arxiv.org/abs/2607.14125: arXiv:2607.14125v1 Announce Type: new Abstract: Pre-trained vision-language models VLMs enable zero-shot image classification by computing the simi... - QFireNet: A Quantum-Enhanced U-Net for Wildfire Segmentation from Sentinel-2 Imageryhttps://arxiv.org/abs/2607.14160: arXiv:2607.14160v1 Announce Type: new Abstract: Wildfire detection from satellite imagery is a semantic image segmentation problem that has proven to... - NVIDIA AI Releases Nemotron 3 Embed: An Open Embedding Collection Whose 8B Checkpoint Ranks 1 on RTEBhttps://www.marktechpost.com/2026/07/17/nvidia-ai-releases-nemotron-3-embed-an-open-embedding-collection-whose-8b-checkpoint-ranks-1-on-rteb/: NVIDIA released Nemotron 3 Embed on July 15 and 16, 2026. The collection has three open checkpoints: Nemotron-3-Embed-8B-BF16, Nemotron-3-Embed-1B-BF1... - The risk of weather data sabotage is risinghttps://www.technologyreview.com/2026/07/17/1140622/weather-data-sabotage/: Every morning, airline dispatchers, grid operators, and farmers around the world make decisions based on the same thing: a weather forecast. While the... - The Right Amount of Spec for Agentic Developmenthttps://www.oreilly.com/radar/the-right-amount-of-spec-for-agentic-development/: I keep seeing the same idea in conversations about agents: detailed specs are old-world overhead now. Give the model a rough goal, let it explore, fix... - 5 FREE Resources on Agentic AIhttps://www.kdnuggets.com/5-free-resources-on-agentic-ai: Here are 5 curated resources to help you progress your agentic AI learning for FREE.... - Agentic AI Security: Defending Against Prompt Injection and Tool Misusehttps://machinelearningmastery.com/agentic-ai-security-defending-against-prompt-injection-and-tool-misuse/: In this article, you will learn what prompt injection and tool misuse are in the context of agentic AI systems, and which defense strategies experts..... - Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loophttps://towardsdatascience.com/context-engineering-isnt-enough-a-loop-engineering-experiment-with-no-llm-inside-the-loop/: Everyone is talking about loop engineering, but most discussions assume an LLM sits at the center of the loop. I wanted to isolate the architecture it... - Git Worktrees for AI Developmenthttps://www.kdnuggets.com/git-worktrees-for-ai-development: A Git worktree is a separate directory checked out from the same repository. You can have as many as you need, each on its own branch, all coexisting ... - Using Classical ML to Empower AI Agentshttps://towardsdatascience.com/using-classical-ml-to-empower-ai-agents/: On the value of building on existing foundations The post Using Classical ML to Empower AI Agents appeared first on Towards Data Science.... - Patreon stops asking AI bots not to scrape — and starts blocking themhttps://techcrunch.com/2026/07/17/patreon-stops-asking-ai-bots-not-to-scrape-and-starts-blocking-them/: Patreon is strengthening its defenses against AI scraping by working with Cloudflare to block bots that train AI models on creators’ content without p... - NVIDIA Vera Rubin Maximizes Intelligence per Dollar for Post-Training Workloads – a Key Metric for Agentic AIhttps://blogs.nvidia.com/blog/nvidia-vera-rubin-post-training-intelligence-per-dollar/: Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era.... - Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusershttps://huggingface.co/blog/nvidia/scale-diffusers-finetuning-nemo-automodel: ... - When Unlearning Is Free: Leveraging Low Influence Points to Reduce Computational Costshttps://machinelearning.apple.com/research/unlearning-free-low-influence: As concerns around data privacy in machine learning grow, the ability to unlearn—or remove—specific data points from trained models becomes increasing... - Apple’s lawsuit couldn’t come at a worse time for OpenAIhttps://techcrunch.com/podcast/apples-lawsuit-couldnt-come-at-a-worse-time-for-openai/: Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching al... - Following the questions where they leadhttps://news.mit.edu/2026/following-questions-where-they-lead-bailey-flanigan-0717: Assistant Professor Bailey Flanigan has arrived at complex computational methods for helping democracy thrive.... - How Apple’s big lawsuit could disrupt OpenAI’s IPO planshttps://techcrunch.com/video/how-apples-big-lawsuit-could-disrupt-openais-ipo-plans/: Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching al... - Agility Robotics plants its flag in Tesla’s backyardhttps://techcrunch.com/2026/07/17/agility-robotics-plants-its-flag-in-teslas-backyard/: Agility is opening a new training center for its Digit robots in Fremont, California.... - AI-driven memory crunch jolts India’s smartphone markethttps://techcrunch.com/2026/07/17/ai-driven-memory-crunch-jolts-indias-smartphone-market/: India's smartphone slowdown highlights how the AI boom is reshaping consumer electronics, from pricing and demand to corporate strategy.... - Zyphra Releases ZUNA1.1: An Apache 2.0 EEG Foundation Model With Variable-Length Inputs From 0.5 To 30 Secondshttps://www.marktechpost.com/2026/07/17/zyphra-releases-zuna1-1-an-apache-2-0-eeg-foundation-model-with-variable-length-inputs-from-0-5-to-30-seconds/: Zyphra released ZUNA1.1 on July 16, 2026, under the Apache 2.0 license. The 380M masked diffusion autoencoder reconstructs, denoises, and upsamples sc... - Show Me Examples: Inferring Visual Concepts from Image Setshttps://machinelearning.apple.com/research/visual-concept-inference: Vision-language models VLMs can follow complex textual instructions, yet they struggle to reason from purely visual context. In particular, current ... - In-House LLM Serving at Netflixhttps://netflixtechblog.com/in-house-llm-serving-at-netflix-a5a8e799ea2c?source=rss----2615bd06b42e---4: By AI Platform’s Model Runtime team and Inference teamIntroductionMost organizations consume LLMs through hosted APIs. Netflix went further — we run t... - Databricks hits $188B valuation, extending its run as AI’s favorite second acthttps://techcrunch.com/2026/07/17/databricks-hits-188b-valuation-extending-its-run-as-ais-favorite-second-act/: Databricks has remade its image into an AI company and has published research on the cost savings of open weight AI models for coding.... - Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraphhttps://www.marktechpost.com/2026/07/17/build-an-agentic-event-venue-operator-with-mongodb-atlas-voyage-and-langgraph/: Introduction This tutorial starts where most agent demos stop: giving the agent persistent memory, operational context, and a place to write back what... - Vertu wants executives to pay $6,880 for an AI agent — here’s how it actually performshttps://techcrunch.com/2026/07/17/vertu-wants-executives-to-pay-6880-for-an-ai-agent-heres-how-it-actually-performs/: From AI workflows to battery life and security, here's what it's really like to live with Vertu's luxury foldable every day.... 🎁 Exclusive Offers - Why the first GPU financiers are turning to inference chips in a $400 million dealhttps://techcrunch.com/2026/07/17/why-the-first-gpu-financiers-are-turning-to-inference-chips-in-a-400-million-deal/ 💼 New Opportunities - WiFi Tribe: Leader for Premium Remote Work + Travel Community global travel requiredhttps://weworkremotely.com/remote-jobs/wifi-tribe-leader-for-premium-remote-work-travel-community-global-travel-required - garden3d: Head of Designhttps://weworkremotely.com/remote-jobs/garden3d-head-of-design - Wellness Clinic Marketing: Senior SDRhttps://weworkremotely.com/remote-jobs/wellness-clinic-marketing-senior-sdr - MP College Consulting: College Counselor Specializing in BS/MD Admissions– Remote, Part-Timehttps://weworkremotely.com/remote-jobs/mp-college-consulting-college-counselor-specializing-in-bs-md-admissions-remote-part-time - LawnStarter: Data Governance & Platform Managerhttps://weworkremotely.com/remote-jobs/lawnstarter-data-governance-platform-manager

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News• Jul 17, 2026

The Zoom hack that says, ‘Don’t record me’

If every meeting, watercooler conversation, and date gets transcribed and summarized, who's actually reading any of it?

#News#AI#TechCrunch

Tutorials• Jul 17, 2026

How to Work Effectively with GPT-5.6

Maximize the latest OpenAI model The post How to Work Effectively with GPT-5.6 appeared first on Towards Data Science.

#Towards Data Science#Medium

News• Jul 17, 2026

AI Quantum Intelligence - Pic of the week (2026-07-17)

This week's AI pic recognizes the vibrant mixed‑media celebration of Southeast Asia’s landscapes and cultures — from misty mountains to coral seas — capturing unity through diversity in one harmonious visual mosaic.

#AI Quantum Intelligence#AI#News

Tutorials• Jul 17, 2026

Analog AI Is Back, But Can It Survive Its Own Noise?

AI's energy crisis is reviving an old idea: computing with physics instead of digital logic. Here's how analog chips actually work, why noise nearly killed the idea once already, and what happens when you simulate that noise yourself. The post Analog AI Is Back, But Can It Survive Its Own Noise? app...

#Towards Data Science#Medium

Tutorials• Jul 17, 2026

One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited

Enterprise Document Intelligence [Vol.1 #9B] - One call wires the four upgraded bricks together, run on a paper, a NIST standard, and a report with a broken TOC The post One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited appeared first on Towards Data Science....

#Towards Data Science#Medium

News• Jul 17, 2026

A scorecard for the AI age

Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.

#GenAI#Textual#OpenAI

Tutorials• Jul 17, 2026

How to connect MCP servers with Claude (Claude desktop and Claude Code)

Connecting MCP servers to Claude allows it to work with external tools, files, databases, repositories, and other systems instead of operating only within the chat window. The setup differs slightly between Claude Desktop and Claude Code, but both can be configured in just a few steps. In this artic...

#Analytics Vidhya#Data Science

Research• Jul 17, 2026

Certified Domain Consistency for Multi-Domain Retrieval: Label-Free Per-Domain Contamination Control with Conformal Risk Guarantees

arXiv:2607.14157v1 Announce Type: new Abstract: Retrieval over corpora that mix several domains often returns relevant but wrong-domain evidence that ranking metrics miss and that conformal risk control bounds only marginally, under-covering the worst domains. This work introduces C3R, a drop-in co...

#ArXiv#Machine Learning#Academic

Research• Jul 17, 2026

Explainable Geospatial AI for Satellite Ground Station Siting Using LiDAR-Derived Terrain Intelligence

arXiv:2607.14127v1 Announce Type: new Abstract: Representative clutter height (RCH) is a key parameter in radio propagation and interference analysis because it captures the dominant height of local obstructions that drive terminal clutter loss. Current practice often relies on fixed clutter height...

#ArXiv#Machine Learning#Academic

News• Jul 17, 2026

M5B Daily Perspective (Industry Monographic): "AI Revolutionizes Industries: A Deep Dive into the Latest Developments"

The artificial intelligence AI landscape is evolving at an unprecedented pace, with new developments and innovations emerging every day. As AI continues to advance, it is revolutionizing various industries, transforming the way businesses operate, and creating new opportunities for growth. In this editorial analysis, we will delve into the latest AI developments and explore their impact on specific industries. The recent release of GPT-5.6 Sol and Claude Fable 5 has sparked a heated debate about the future of language models. These two models are currently vying for the top spot in the AI hierarchy, with Fable 5 holding a slight edge. However, the real question is, how will these developments disrupt the language processing industry? The answer lies in the potential applications of these models, which range from chatbots and virtual assistants to language translation and content generation. As these models become more sophisticated, they will likely replace traditional language processing methods, creating new opportunities for businesses to automate tasks and improve customer engagement. The increasing adoption of AI in various industries has also raised concerns about safety and security. OpenAI's efforts to make ChatGPT safer for teens with age-appropriate protections and learning tools are a step in the right direction. However, as AI becomes more pervasive, it is essential to address the security gaps that exist in the industry. The recent incident involving AI agents sharing credentials highlights the need for more robust security measures. As AI continues to advance, it is crucial to prioritize security and develop measures to prevent potential incidents. Another significant development in the AI landscape is the integration of AI with other technologies, such as video editing and search. Google's recent updates to Google Vids, which allow users to create, edit, and star in their own AI videos, demonstrate the potential of AI in the creative industry. Similarly, the expansion of Google's AI Mode to link and interact with select apps marks a significant milestone in the development of AI-powered search. These advancements will likely disrupt the video editing and search industries, creating new opportunities for content creators and businesses to reach their target audiences. The AI industry is also witnessing a surge in innovation, with companies like Moonshot AI releasing new models and tools. The Kimi K3 model, with its 2.8 trillion parameters and Kimi Delta attention, is a significant development in the field of open MoE models. Additionally, the release of GPT-Red, an internal automated red-teaming model, demonstrates the potential of AI in cybersecurity. These developments will likely have a significant impact on the cybersecurity industry, creating new opportunities for businesses to protect themselves against potential threats. The job market is also reflecting the growing demand for AI talent, with companies like Snapscale, SilverTech, and Aethos posting job openings for AI-related positions. The requirement for skilled professionals in AI is on the rise, and it is essential for individuals to develop the necessary skills to remain competitive in the job market. As AI continues to advance, it is likely that we will see a significant shift in the job market, with AI-related jobs becoming increasingly prominent. The AI industry is also witnessing a significant shift in the way businesses operate, with companies like Apple and Alibaba partnering to launch new AI-powered services. The approval of Apple Intelligence for launch in China marks a significant milestone in the company's AI ambitions. Similarly, the partnership between NVIDIA and Capcom to bring Onimusha: Way of the Sword to GeForce NOW demonstrates the potential of AI in the gaming industry. These developments will likely disrupt the gaming and tech industries, creating new opportunities for businesses to innovate and grow. As AI continues to advance, it is essential to address the challenges that exist in the industry. The recent article on why regression coefficients keep changing and what geometry has to do with it highlights the need for more research in the field of AI. Additionally, the article on the hidden geometry of multicollinearity demonstrates the complexity of AI and the need for skilled professionals to navigate these challenges. As AI becomes more pervasive, it is crucial to develop a deeper understanding of the underlying mechanics and to address the potential pitfalls that exist in the industry. In conclusion, the AI industry is evolving at an unprecedented pace, with new developments and innovations emerging every day. As AI continues to advance, it is revolutionizing various industries, transforming the way businesses operate, and creating new opportunities for growth. It is essential to stay ahead of the curve and to develop the necessary skills to remain competitive in the job market. As AI becomes more pervasive, it is crucial to prioritize security, address the challenges that exist in the industry, and to develop a deeper understanding of the underlying mechanics. The future of AI is exciting and uncertain, and it will be interesting to see how the industry evolves in the coming years.

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News• Jul 17, 2026

M5B Daily Recap: 2026-07-16

Daily AI Recap: Jul 16, 2026 Welcome to today's curated briefing of the most important AI developments. 🗞️ Top Stories - GPT-5.6 Sol vs Claude Fable 5: Benchmarks, Pricing & Hands-Onhttps://www.analyticsvidhya.com/blog/2026/07/gpt-5-6-sol-vs-claude-fable-5/: GPT-5.6 Sol and Claude Fable 5 are currently fighting for the frontier-model crown. Fable 5 holds a slight edge in general intelligence, while Sol hits back with stronger coding performance, faster ex... - Why teens deserve access to safe AIhttps://openai.com/index/why-teens-deserve-access-safe-ai: Learn how OpenAI is making ChatGPT safer for teens with age-appropriate protections, learning tools, parental controls, and expert partnerships.... - Create, edit and star in videos with two Google Vids updateshttps://blog.google/products-and-platforms/products/workspace/gemini-omni-personal-avatars/: Text "Gemini Omni and Personal Avatars in Google Vids" surrounded by various images... - Connect more of your apps to Searchhttps://blog.google/products-and-platforms/products/search/connected-apps/: Connected apps rendering... - Google’s AI Mode now lets you link and interact with select appshttps://techcrunch.com/2026/07/16/googles-ai-mode-now-lets-you-link-and-interact-with-select-apps/: With this new update, Google is expanding AI Mode beyond answering questions and into completing tasks across the apps they use regularly.... - Why is OpenAI selling a ChatGPT basketball?https://techcrunch.com/2026/07/16/why-is-openai-selling-a-chatgpt-basketball/: You may have heard that OpenAI released its first piece of hardware this week. You may not have heard about the ChatGPT basketball.... - Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generationhttps://towardsdatascience.com/context-engineering-for-rag-question-parsing-from-a-raw-question-to-typed-fields-that-steer-retrieval-and-generation/: Enterprise Document Intelligence Vol.1 6quater - Question parsing takes one messy string and writes four typed pieces, each read by a different downstream call The post Context Engineering for RAG ... - Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’ or ‘superintelligence’https://techcrunch.com/2026/07/16/why-ami-labs-alexandre-lebrun-wont-call-his-ai-agi-or-superintelligence/: While everyone in AI is chasing "superintelligence," Alexandre LeBrun, CEO of Yann LeCun’s world model startup, AMI Labs, dismisses the word.... - How to Get the Most Out of Claude Fable 5https://towardsdatascience.com/how-to-get-the-most-out-of-claude-fable-5/: Maximize your Claude Fable 5 usage The post How to Get the Most Out of Claude Fable 5 appeared first on Towards Data Science.... - Apple Intelligence approved for launch in China with Alibaba and Baiduhttps://techcrunch.com/2026/07/16/apple-intelligence-approved-for-launch-in-china-with-alibabas-qwen-ai/: The deal, which was rumored to be in the works last year, marks an important step for Apple's AI ambitions in a key market.... - Sharpen the Sword, Skip the Downloads — ‘Onimusha: Way of the Sword’ Is Coming to GeForce NOWhttps://blogs.nvidia.com/blog/geforce-now-thursday-onimusha-coming/: Onimusha: Way of the Sword is coming to GeForce NOW at launch, with the playable demo available this week. It’s joined by Denshattack! rolling in with five new games arriving in the cloud. Plus, GeFor... - 10 YouTube Channels Keeping You Ahead in AIhttps://www.kdnuggets.com/10-youtube-channels-keeping-you-ahead-in-ai: Explore 10 YouTube channels for AI engineers covering paper breakdowns, coding tutorials, and industry analysis.... - Why Your Betas Explode: The Hidden Geometry of Multicollinearityhttps://towardsdatascience.com/why-your-betas-explode-the-hidden-geometry-of-multicollinearity/: Why your regression coefficients keep changing, and what geometry has to do with it. The post Why Your Betas Explode: The Hidden Geometry of Multicollinearity appeared first on Towards Data Science.... - Berlin, Paris, London: how Europe's AI hubs are diverginghttps://www.aiacceleratorinstitute.com/berlin-paris-london-how-europes-ai-hubs-are-diverging/: Europe's AI scene used to get lumped together as one story. In 2026, Berlin, Paris, and London are running three different plays, and the gap between them is widening fast...... - Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checkshttps://www.marktechpost.com/2026/07/16/patter-sdk-guide-to-building-a-restaurant-booking-phone-agent-with-dynamic-variables-guardrails-latency-dashboards-and-eval-checks/: We explore the Patter SDK by building a voice-agent workflow for a restaurant booking use case. We define dynamic caller variables, register callable tools for availability, bookings, hours, and human... - What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometryhttps://arxiv.org/abs/2607.13046: arXiv:2607.13046v1 Announce Type: new Abstract: We develop a framework for the information discarded by machine learning models whose inputs carry a Lie group action. Given a representation $\pi$ of ... - Location-Invariant Properties of Functions Versus Properties of Distributions: United in Testing but Separated in Verificationhttps://machinelearning.apple.com/research/location-invariant-functions: A property of functions is called location-invariant or symmetric if it can be characterized in terms of the frequencies in which each value occurs in the function, regardless of the locations in wh... - Interactive Proofs for General Distribution Propertieshttps://machinelearning.apple.com/research/interactive-proofs-distribution-properties: Suppose Alice has collected a small number of samples from an unknown distribution, and would like to learn about the distribution. Bob, an untrusted data analyst, claims to have run a sophisticated d... - Security incident disclosure — July 2026https://huggingface.co/blog/security-incident-july-2026: ... 🛠️ Featured Tools - Automatic Differentiation from Scratch: How PyTorch Computes Gradients in Physics-Informed Neural Networkshttps://arxiv.org/abs/2607.13042: arXiv:2607.13042v1 Announce Type: new Abstract: This paper traces, with explicit numerical values, how PyTorch's automatic differentiation AD engin... - Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learninghttps://arxiv.org/abs/2607.13043: arXiv:2607.13043v1 Announce Type: new Abstract: Deep learning models achieve state-of-the-art image classification but face deployment challenges due... - Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challengeshttps://arxiv.org/abs/2607.13045: arXiv:2607.13045v1 Announce Type: new Abstract: Federated Learning FL has emerged as a key paradigm for privacy-preserving collaborative model trai... - Targeted Recovery of Weight-Space Mechanisms From Neural Networkshttps://arxiv.org/abs/2607.13047: arXiv:2607.13047v1 Announce Type: new Abstract: Parameter decomposition PD decomposes neural networks into interpretable computational components t... - A better way to turn 2D designs into 3D models for rapid prototypinghttps://news.mit.edu/2026/turning-2d-designs-into-3d-models-for-rapid-prototyping-0716: Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.... - OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasetshttps://arxiv.org/abs/2607.13037: arXiv:2607.13037v1 Announce Type: new Abstract: When a data contributor requests removal, model trainers face a practical gap: unlearning algorithms ... - SPINE: Bridging the Cyber-Physical Gap with Agentic AIhttps://arxiv.org/abs/2607.13049: arXiv:2607.13049v1 Announce Type: new Abstract: Foundation models have given robots a sophisticated brain for complex decision-making, yet deploying ... - Interventional Grounding Audits: Black-Box Premise-Dependency Tests for LLM Chain-of-Thought via Predicate Substitutionhttps://arxiv.org/abs/2607.13069: arXiv:2607.13069v1 Announce Type: new Abstract: Large language models produce chain-of-thought CoT reasoning that appears logically sound yet may n... - Probabilistic Extension of Neuro-Symbolic AGI Robots based on Belnap's Typed Intensional FOLhttps://arxiv.org/abs/2607.13073: arXiv:2607.13073v1 Announce Type: new Abstract: Neuro-symbolic AI based on $IFOLB$ is a way to combine neural learning and symbolic reasoning to ove... - Self-Improvements in Modern Agentic Systems: A Surveyhttps://arxiv.org/abs/2607.13104: arXiv:2607.13104v1 Announce Type: new Abstract: Self-improving autonomous agents are moving from research prototypes to deployed systems. The primary... - Applied Computing wants to give oil and gas operators an AI model for the entire planthttps://techcrunch.com/2026/07/15/applied-computing-wants-to-give-oil-and-gas-operators-an-ai-model-for-the-entire-plant/: Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.... - SpaceXAI Open-Sources Grok Build: The Rust Agent Harness, TUI, and Tool Layer Behind Its Coding CLIhttps://www.marktechpost.com/2026/07/15/spacexai-open-sources-grok-build-the-rust-agent-harness-tui-and-tool-layer-behind-its-coding-cli/: SpaceXAI published the Grok Build source on July 15, 2026. The Apache 2.0 Rust tree covers the agent loop, tool dispatch, the TUI, and the extension s... - Our approach to bioresiliencehttps://deepmind.google/blog/our-approach-to-bioresilience/: Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.... - Coding Was Never a Bottleneckhttps://www.oreilly.com/radar/coding-was-never-a-bottleneck/: My job is developer productivity. I’ve worked in developer infrastructure for six years now so I have skin in the game here. I want the AI productivit... - Newer Models, Same Advantagehttps://huggingface.co/blog/Dharma-AI/newer-models-same-advantages: ... - Run a Local AI Model with Ollama in 15 Minuteshttps://machinelearningmastery.com/run-a-local-ai-model-with-ollama-in-15-minutes/: In this article, you will learn how to get a small language model running locally on your own machine in under 15 minutes using Ollama....... - Moonshot’s upcoming Kimi 3 is expected to close the gap with Anthropic’s Opus 4.8https://techcrunch.com/2026/07/16/moonshots-upcoming-kimi-3-is-expected-to-close-the-gap-with-anthropics-opus-4-8/: The FT reports Kimi K3 will be the largest open AI model from China, with a parameter count between 2 trillion and 3 trillion.... - Working with Pi Coding Agentshttps://www.kdnuggets.com/working-with-pi-coding-agents: The most interesting thing about Pi isn't any single feature; it's that the project treats "what we didn't build" as documentation worth writing, whic... - Doubly Sub-linear Interactive Proofs of Proximityhttps://machinelearning.apple.com/research/doubly-sublinear-interactive-proofs: We study doubly sub-linear interactive proofs of proximity dsIPPs: proofs that are ultra-fast to generate, and can be used to prove approximate asse... - How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a producthttps://techcrunch.com/2026/07/16/how-a-former-deepmind-researcher-raised-at-a-300m-pre-seed-valuation-before-launching-a-product/: Drawing on more than a decade spent helping build some of the world's most influential AI systems, including research that later informed the developm... - Yes, you can now order DoorDash from the command linehttps://techcrunch.com/2026/07/16/yes-you-can-now-order-doordash-from-the-command-line/: DoorDash is opening a limited beta of dd-cli, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from... - How Cars24 scales conversations and builds faster with OpenAIhttps://openai.com/index/cars24: Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to... - NVIDIA Nemotron 3 Embed Ranks 1 Overall on RTEB, Advancing Agentic Retrievalhttps://huggingface.co/blog/nvidia/nemotron-3-embed-wins-rteb: ... - The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anywayhttps://venturebeat.com/ai/the-agent-evaluation-gap-enterprise-ai-organizations-have-a-reality-alignment-problem-not-a-coverage-problem-and-most-are-shipping-to-production-anyway: Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have ... - The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fixhttps://venturebeat.com/ai/the-ai-context-gap-enterprise-ai-organizations-have-a-trust-problem-not-a-retrieval-problem-and-most-are-still-building-the-fix: Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augment... - The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costshttps://venturebeat.com/ai/the-ai-compute-gap-enterprises-are-buying-infrastructure-faster-than-they-can-measure-what-it-costs: Across 107 enterprises, AI infrastructure spending is accelerating well ahead of the ability to see or steer its economics. Most organizations run the... - Prepare These 5 Assets Before Your AI Agents Take On More Workhttps://towardsdatascience.com/prepare-these-5-assets-before-your-ai-agents-take-on-more-work/: How to define recurring work, give AI the right context, explain what high-quality work looks like, and decide where human judgment is still needed. T... - Roblox launches an AI-powered game creation feature in its mobile apphttps://techcrunch.com/2026/07/16/roblox-launches-an-ai-powered-game-creation-feature-in-its-mobile-app/: Roblox's new "Build" feature lets users generate basic games using a single text prompt.... - Google Vids now lets you star in your own AI videoshttps://techcrunch.com/2026/07/16/google-vids-now-lets-you-star-in-your-own-ai-videos/: Google is adding personalized AI avatars to Vids that let users create videos starring a digital version of themselves, alongside Gemini Omni-powered ... - OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injectionhttps://www.marktechpost.com/2026/07/16/openai-details-gpt-red-an-internal-automated-red-teaming-model-that-beat-human-red-teamers-84-to-13-on-prompt-injection/: OpenAI trained GPT-Red, an internal-only attacker model, using self-play reinforcement learning against a population of defender LLMs. It beat human r... - The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentialshttps://venturebeat.com/ai/the-agent-security-gap-54-of-enterprises-have-already-had-an-ai-agent-incident-and-most-still-let-agents-share-credentials: Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half ... - The Intelligence Shift: The Future of Meaning - How AI Changes What We Valuehttps://aiquantumintelligence.com/the-intelligence-shift-the-future-of-meaning-how-ai-changes-what-we-value: Explore how artificial intelligence is reshaping human meaning, work, purpose, creativity, and significance. This July 2026 edition of The Intelligenc... - Personalizing Incremental Video Search with Hybrid Text and ID Embeddingshttps://machinelearning.apple.com/research/personalizing-incremental-video-search: Incremental video search requires high-quality ranking after each keystroke, where intent is often underspecified e.g., 1–3 character prefixes. We p... - Embarrassingly Simple Self-Distillation Improves Code Generationhttps://machinelearning.apple.com/research/simple-self-distillation: Can a large language model LLM improve at code generation using only its own raw outputs, without a verifier, a teacher model, or reinforcement lear... - Moonshot AI Releases Kimi K3: A 2.8 Trillion Parameter Open MoE Model With Kimi Delta Attention and 1M Contexthttps://www.marktechpost.com/2026/07/16/moonshot-ai-releases-kimi-k3-a-2-8-trillion-parameter-open-moe-model-with-kimi-delta-attention-and-1m-context/: Moonshot AI released Kimi K3 on July 16, 2026. It is a 2.8-trillion-parameter open MoE model built on Kimi Delta Attention and Attention Residuals, ac... 💼 New Opportunities - Peroptyx : Data Anlaysthttps://weworkremotely.com/remote-jobs/peroptyx-data-anlayst - Gartner: Director, IT Strategy Consulting, HHS-Medicaidhttps://weworkremotely.com/remote-jobs/gartner-director-it-strategy-consulting-hhs-medicaid - Faith Technologies: Project Controls Managerhttps://weworkremotely.com/remote-jobs/faith-technologies-project-controls-manager - Siemens Healthineers: Regional Service Manager - Manhattan, NYhttps://weworkremotely.com/remote-jobs/siemens-healthineers-regional-service-manager-manhattan-ny - ICF: Software Security Engineer- Cloud/GovCloud Top Secret clearedhttps://weworkremotely.com/remote-jobs/icf-software-security-engineer-cloud-govcloud-top-secret-cleared - Coloplast: Field Marketing Specialisthttps://weworkremotely.com/remote-jobs/coloplast-field-marketing-specialist - Clover Labs AI: Campaign Manager - SEO & AI Contenthttps://weworkremotely.com/remote-jobs/clover-labs-ai-campaign-manager-seo-ai-content - Castr: Sales Development Representative SDRhttps://weworkremotely.com/remote-jobs/castr-sales-development-representative-sdr - Steady Vision: Web Designerhttps://weworkremotely.com/remote-jobs/steady-vision-web-designer - SilverTech: Account Directorhttps://weworkremotely.com/remote-jobs/silvertech-account-director - Work and Study Travel: Website Builder / WordPress Specialisthttps://weworkremotely.com/remote-jobs/work-and-study-travel-website-builder-wordpress-specialist - Snapscale: WP dev remotehttps://weworkremotely.com/remote-jobs/snapscale-wp-dev-remote - Aethos: Customer Journey and CRM Manager UK Fixed Term Contract for a Maternity Cover - Immediate Starthttps://weworkremotely.com/remote-jobs/aethos-customer-journey-and-crm-manager-uk-fixed-term-contract-for-a-maternity-cover

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Tutorials• Jul 16, 2026

GPT-5.6 Sol vs Claude Fable 5: Benchmarks, Pricing & Hands-On

GPT-5.6 Sol and Claude Fable 5 are currently fighting for the frontier-model crown. Fable 5 holds a slight edge in general intelligence, while Sol hits back with stronger coding performance, faster execution and much lower pricing. In fact, GPT-5.6 Sol is priced closer to Claude Opus 4.8 than to Fab...

#Analytics Vidhya#Data Science

News• Jul 16, 2026

Create, edit and star in videos with two Google Vids updates

Text "Gemini Omni and Personal Avatars in Google Vids" surrounded by various images

#Google#AI

News• Jul 16, 2026

Google’s AI Mode now lets you link and interact with select apps

With this new update, Google is expanding AI Mode beyond answering questions and into completing tasks across the apps they use regularly.

#News#AI#TechCrunch

News• Jul 16, 2026

Connect more of your apps to Search

Connected apps rendering

#Google#AI

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