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AI, Data Science, Machine Learning & IOT
22 Sept, 13:09
Follow and Check out our insta post to read more about the latest trending topic in AI https://www.instagram.com/kdnuggets/
AI, Data Science, Machine Learning & IOT
20 Sept, 15:03edited
📊 We built India's #1 Real-Time BB20 Instagram Tracker — and it's LIVE!Forget guessing who's winning the popularity game outside the house. We're tracking all 16 Bigg Boss 20 contestants' Instagram followers in real time — every single day. 📈Here's what you get:🏆 Live Leaderboard — See who's gaining and who's losing followers daily 📈 Growth Analytics — Track follower gains since BB20 Day 1 (Sept 6) 👤 Contestant Profiles — Full follower history with trend charts for every contestant 📺 Episode Recaps — Visual recap cards covering key moments from EP1 to EP14Salman was right — the real game is happening on Instagram too. 😄🔗 Check it out here: 👉 https://bit.ly/biggbosstrackerBookmark it. Share it. Come back daily. 🔖Built with ❤️ by Nuggets Network | Follow us on Instagram: https://www.instagram.com/biggbosstracker/
AI, Data Science, Machine Learning & IOT
8 Sept, 08:10
🔬 AI Research Digest 📅 Week of Sep 2–Sep 8, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🌍 SolarWM: Open Data and Scalable Training for Long-Horizon Video World Models Authors/Org: Junchao Huang, Guian Fang, Shengju Qian et al. | arXiv: 2609.02886 Bottleneck solved: No unified open framework existed for building interactive video world models that generalize across diverse environments and support long-horizon real-time rollouts. SolarWM ships a fully open pipeline — 1.43M canonical clips (25+ TB) across real-world, synthetic, and game environments — plus a model family ranging from 5B to 33B parameters. For teams building simulation, robotics, or embodied AI products, this is now the go-to open foundation for world modeling at scale. 🔗 SolarWM on arXiv━━━━━━━━━━━━━━━━━━━━━━━━2. ⚡ FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution Authors/Org: Shuo Yang, XiaozearXiv.orgSolarWM: Open Data and Scalable Training for Long-Horizon Video...We introduce SolarWM, a fully open foundation for building interactive video world models from data preparation through long-horizon inference. Training across heterogeneous data sources and video...AI, Data Science, Machine Learning & IOT
7 Sept, 08:10
🤖 AI Weekly Digest 📅 Week of Sep 1–Sep 7, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🚀 Anthropic Fable 5.1 Now Generally Available Anthropic's Fable 5.1 reached general availability on September 1, 2026, maintaining the same $10/$50 pricing as Fable 5 while cutting cache reads to just $0.25. Developers building RAG pipelines and agentic apps with high prompt reuse will see meaningful cost savings from the lower cache pricing. 🔗 Major AI Developments: 4 September 2026━━━━━━━━━━━━━━━━━━━━━━━━2. 🛡️ Google Ships Gemini 3.8 Flash — Including Cyber Model for Defenders Google launched Gemini 3.8 Flash — its third Flash model in six weeks — alongside a specialized cybersecurity variant called Gemini 3.8 Flash Cyber, distributed to trusted defenders via its new Fairwind program. Security engineers and red teams can now tap a model fine-tuned for threat analysis and vulnerability researchwww.startuphub.aiMajor AI developments: 4 September 2026HPE's Neri on Oracle and AI margins, a16z on GTM moats, Nvidia's 28 GeForce NOW titles, Composio on knowledge agents and Runway's GWM Worlds 2.AI, Data Science, Machine Learning & IOT
1 Sept, 08:10
🔬 AI Research Digest 📅 Week of Aug 25–Sep 1, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🏗️ PlanSightRAG: Visual-First RAG for Civil Engineering Compliance Authors/Org: (Civil AI Lab) | arXiv: 2608.26091 Bottleneck solved: Manual compliance checking of dense 2D civil engineering plans is slow, error-prone, and can't scale — PlanSightRAG automates it by reasoning directly over plan imagery rather than extracted text. Developers building document-QA pipelines will want to study its Planner-Retriever-Auditor-Synthesizer architecture and ColNomic-3B multi-vector retrieval, which hits 91.47% Recall@5 on a 4,056-pair DOT benchmark. 🔗 PlanSightRAG on arXiv━━━━━━━━━━━━━━━━━━━━━━━━2. 🧠 BDH-CQ: Recurrent Latent Reasoning Breaks the ARC-AGI Cost Curve Authors/Org: Jan Chorowski et al. | arXiv: 2608.09888 Bottleneck solved: Chain-of-thought reasoning is expensive because models must verbalize everyarXiv.orgPlanSightRAG: A Visual-First Multimodal RAG for Automating...Civil infrastructure compliance checking has long relied on engineers manually reading legacy 2D plans; however, OCR-based automation strips away the geometry and layout essential for interpreting...AI, Data Science, Machine Learning & IOT
31 Aug, 08:10
🤖 AI Weekly Digest 📅 Week of Aug 25–Aug 31, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧮 OpenAI's Astra Cracks 10 Unsolved Math & CS Problems OpenAI's internal model Astra solved ten previously unsolved problems in mathematics and theoretical computer science — including a construction addressing non-sofic groups and tighter bounds on sphere-packing density — at a compute cost of roughly $2,000. This signals a new era where AI is not just assisting researchers but actively advancing foundational science that underpins algorithms, cryptography, and distributed systems. 🔗 AI Updates August 2026: 15 Explosive Stories to Know━━━━━━━━━━━━━━━━━━━━━━━━2. 💻 Meta Launches Muse Code: AI Coding Assistant That Verifies Its Own Work Meta unveiled Muse Code, an AI-powered coding assistant built on Muse Spark 1.2, capable of writing code, fixing bugs, automatically verifying results, and managingIMFOUNDERAI Updates August 2026: 15 Explosive Stories to KnowThe most explosive AI updates this month 2026 has produced — from OpenAI's math-proving Astra to India's ₹500-crore AI fund. These 15 shifts change how you work, pay, and compete.AI, Data Science, Machine Learning & IOT pinned a photo
26 Aug, 12:05
AI, Data Science, Machine Learning & IOT
26 Aug, 12:05
forwarded from @coursenuggets
Top Udemy courses for learning ChatGPT for as cheap as $5 🔗LINK🔗 @coursenuggets @kdnuggetsUdemyTop ChatGPT Courses Online - Updated [September 2026]Learn about ChatGPT and how to apply prompt engineering to effectively work with large language models with our ChatGPT courses. Start learning about Generative AI today!AI, Data Science, Machine Learning & IOT
25 Aug, 08:10
🔬 AI Research Digest 📅 Week of Aug 19–Aug 25, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. ⚡ FreeToken: Efficient Edge-Native MoE Serving Authors/Org: FlashML / UC Berkeley | arXiv: 2608.16157 Bottleneck solved: Running large Mixture-of-Experts models locally on consumer hardware without cloud dependency. FreeToken treats heterogeneous edge resources — GPU, CPU, host memory, and interconnects — as a unified elastic inference platform, enabling a 35B MoE model on a laptop and a 753B model on a single workstation GPU, delivering 2–4x faster speeds than Ollama for local MoE deployment. 🔗 FreeToken on arXiv━━━━━━━━━━━━━━━━━━━━━━━━2. 🧠 BDH-CQ: In-Context Learning with Recurrent Latent Reasoning Authors/Org: Pathway | arXiv: 2608.09888 Bottleneck solved: Cost-efficiency of reasoning models — achieving strong ARC-AGI performance at just $0.0007 per task. Instead of generating chain-of-thoughtarXiv.orgFreeToken: Efficient Edge-Native MoE Serving with...Frontier open-weight models are increasingly available, but serving them still largely assumes datacenter infrastructure. We present FreeToken, an edge-native MoE serving system that treats a...AI, Data Science, Machine Learning & IOT
24 Aug, 08:10
🤖 AI Weekly Digest 📅 Week of Aug 18–Aug 24, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧮 OpenAI's Astra Solves 10 Previously Unsolved Math Problems OpenAI's internal model Astra tackled ten open problems in mathematics and theoretical computer science, publishing formally verified proofs on GitHub — including breakthroughs on non-sofic groups and sphere-packing bounds — at a compute cost of just ~$2,000. For developers and data teams, this signals that AI-assisted formal verification is becoming a real tool for auditing algorithms and proving correctness of complex systems. 🔗 AI Updates August 2026: 15 Explosive Stories to Know━━━━━━━━━━━━━━━━━━━━━━━━2. 💸 Frontier Model Prices Crash — GPT-5.6 Luna Down 80% OpenAI slashed the price of GPT-5.6 Luna by 80%, bringing input costs to $0.20 per million tokens, a trend echoed across other frontier providers this month. For software teams, thisIMFOUNDERAI Updates August 2026: 15 Explosive Stories to KnowThe most explosive AI updates this month 2026 has produced — from OpenAI's math-proving Astra to India's ₹500-crore AI fund. These 15 shifts change how you work, pay, and compete.AI, Data Science, Machine Learning & IOT
22 Aug, 15:48
MovieNuggets tracks what's rising right now — not what was popular last year.Most movie sites show you static, lifetime-average rankings that never change. MovieNuggets is different: it tracks how every title's rating and vote count are moving hour by hour, so you spot what's heating up before it hits the mainstream conversation.What you get, free:📈 Real-time leaderboards — Trending, Rating Growth, Hidden Gems, and Falling, across Daily/Weekly/Monthly/Quarterly windows ⭐ Rate & review — score anything 1–10 and leave a review, shared with friends or the whole community ⭐ Favorites & Watchlist — save what you love, queue up what you want to watch next 👥 Friends — see what your friends are rating, get personal recommendations, compare taste 📺 Where to watch — instant streaming availability in your region No lifetime charts. No stale "Top 250." Just momentum, as it happens.👉 Start
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20 Aug, 08:10
🔬 AI Research Digest 📅 Week of Aug 13–19, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🤖 Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements Authors/Org: Zhi Zheng, Rongsheng Chen, Yunpeng Ba et al. | arXiv: 2608.17310 Bottleneck solved: Full-parameter LLM fine-tuning typically demands enormous GPU memory — ESOpt achieves it at inference-level memory cost using Evolution Strategies with trajectory-level reward updates. Outperforms RL baselines on multi-turn Sudoku, ReAct tool use, and WebArena benchmarks, making agent fine-tuning accessible without high-end GPU clusters. 🔗 Agentic ESOpt — Hugging Face Paper━━━━━━━━━━━━━━━━━━━━━━━━2. 👁️ YOLO26: NMS-Free End-to-End Real-Time Object Detection Authors/Org: Sudip Chakrabarty | arXiv: 2601.12882 Bottleneck solved: Eliminates Non-Maximum Suppression (NMS) post-processing — the traditional inference bottleneck — viahuggingface.coPaper page - Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU RequirementsJoin the discussion on this paper pageAI, Data Science, Machine Learning & IOT
20 Aug, 08:10
🤖 AI Weekly Digest 📅 Week of Aug 11–Aug 17, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧮 OpenAI's Astra Solves 10 Decades-Old Math Problems OpenAI's next major model, Astra, solved ten previously open problems across eight fields of mathematics and theoretical computer science — including the first-ever explicit construction of a non-sofic group, a question open since 1999. The entire run cost just $2,000 in compute, and OpenAI published machine-checkable Lean 4 proofs alongside a 249-page manuscript, signaling AI is becoming genuine research infrastructure for scientists and engineers. 🔗 OpenAI's Astra Solved Decades-Old Math Problems For $2,000━━━━━━━━━━━━━━━━━━━━━━━━2. ⚡ xAI Launches Grok 4.6 — Frontier Performance at Half the Price xAI released Grok 4.6 on August 12, scoring 61 on the Artificial Analysis Intelligence Index and matching top frontier models while pricing input tokensForbesOpenAI’s Astra Solved Decades-Old Math Problems For $2,000OpenAI’s Astra generates machine‑checkable proofs for ten decades‑old math problems, showing how verified AI can cut discovery costs to about two thousand dollars.AI, Data Science, Machine Learning & IOT
11 Aug, 08:10
🔬 AI Research Digest 📅 Week of August 4–10, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🤖 AOSpec: Action and Observation Co-Speculation for Low-Latency Agent Serving Authors/Org: Hao Mark Chen, Jinnan Guo, Wayne Luk | arXiv: 2608.00881 Bottleneck solved: End-to-end inference latency in production AI agent systems. AOSpec reduces perceived response time by co-speculating actions and observations in parallel before they are needed, effectively pipelining the agent execution loop. Developers deploying multi-step agents in production will find this directly applicable to cutting SLA costs without sacrificing correctness. 🔗 AOSpec – arXiv:2608.00881━━━━━━━━━━━━━━━━━━━━━━━━2. 🔐 Leak It: Probabilistic Training-Data Extraction from Black-Box LLMs Authors/Org: Victor Maricato | arXiv: 2608.00144 Bottleneck solved: Lack of practical tooling for auditing data privacy risks in deployed, black-boxarXiv.orgAOSpec: Action and Observation Co-Speculation for Low-Latency Agent ServingLarge language model agents increasingly act through stateful tools, yet model generation and environment execution remain serialized at every step. As decoding accelerates, tool execution becomes...AI, Data Science, Machine Learning & IOT
10 Aug, 08:10
🤖 AI Weekly Digest 📅 Week of Aug 4–Aug 10, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 💸 OpenAI Slashes GPT-5.6 Luna Prices by 80% OpenAI cut GPT-5.6 Luna to just $0.20 per million input tokens (down from $1.00), making frontier-quality AI dramatically cheaper for high-volume workloads. Developers building automation pipelines, internal tools, or API-heavy products can now scale at a fraction of the previous cost. 🔗 OpenAI Slashes GPT-5.6 Luna Prices – VentureBeat━━━━━━━━━━━━━━━━━━━━━━━━2. 🎥 Adobe Research Releases "Wonder" — Real-Time Navigable Video World Model Adobe Research published Wonder, a video world model that enables real-time, camera-steerable exploration of minute-scale video worlds at 16 FPS. It solves persistent issues like drifting controls and fading memory, making it a powerful primitive for interactive 3D content generation, simulation, and game development. 🔗 Wonder:VenturebeatAI price wars: OpenAI cuts GPT-5.6 Luna prices by 80% as model competition shifts toward costOpenAI is directly cutting per-token rates, Google is pairing lower prices with reductions in token use and tool calls, and Anthropic is emphasizing stronger task performance for the same price.AI, Data Science, Machine Learning & IOT
4 Aug, 08:10
🔬 AI Research Digest 📅 Week of Jul 28–Aug 4, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧠 Explorative Modeling: Unlocking a Third Pretraining Axis Authors/Org: Alexi Gladstone, Heng Ji, Yilun Du | arXiv: 2607.27372 Bottleneck solved: Mode collapse and blurry predictions in generative models — by exploring K candidate generations and training on the best match, models commit to sharp modes instead of averaging them. FLOP efficiency improves 4.1×, sample efficiency 6.2×, and parameter efficiency by 47%, achieving near-SOTA 1.43 FID on ImageNet without classifier guidance — a strong signal this could reshape how generative pretraining is structured. 🔗 Explorative Modeling (arXiv 2607.27372)━━━━━━━━━━━━━━━━━━━━━━━━2. 🌍 EO-Agents: Three-Agent LLM Pipeline for Earth Observation Hypothesis Generation Authors/Org: (opendatalab / arXiv submission) | arXiv: 2607.01584 Bottleneck solved:arXiv.orgExplorative Modeling: Unlocking a Third Pretraining Axis and...The deep learning revolution, kicked off by AlexNet, taught us that end-to-end training beats decomposing a problem into hand-designed stages. Generative modeling, however, has remained the...AI, Data Science, Machine Learning & IOT
3 Aug, 08:10
🤖 AI Weekly Digest 📅 Week of Jul 28–Aug 3, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧮 OpenAI's Astra Solves 10 Long-Standing Math Problems OpenAI's next-generation model Astra solved 10 previously open problems in mathematics and theoretical computer science — including the first-ever proof that non-sofic groups exist — publishing formal Lean 4 proofs on GitHub for roughly $2,000 in compute. This signals that AI is crossing from code generation into rigorous formal reasoning, a capability that could transform scientific research tooling and automated theorem verification for developer teams. 🔗 OpenAI's Astra solves 10 long-open math problems and publishes the proofs━━━━━━━━━━━━━━━━━━━━━━━━2. ⚡ DeepSeek V4 Flash Exits Preview, Beats Agent Benchmarks DeepSeek V4 Flash 0731 is now generally available at just $0.14/$0.28 per million tokens, scoring 82.7% on Terminal-Bench and outperformingSiliconANGLEOpenAI’s Astra solves 10 long-open math problems and publishes the proofsOpenAI's Astra solves 10 long-open math problems and publishes the proofs - SiliconANGLEChannel name was changed to «AI, Data Science, Machine Learning & IOT»
3 Aug, 06:44
AI, Data Science, Machine Learning & IOT
28 Jul, 08:10
🔬 AI Research Digest 📅 Week of Jul 21–28, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧠 codebase-memory-mcp — Persistent Knowledge Graph for AI Coding Agents Authors/Org: DeusData | GitHub: DeusData/codebase-memory-mcp Bottleneck solved: Eliminates redundant codebase scanning by AI agents, cutting token usage for structural queries by up to 99%. Builds a persistent knowledge graph (functions, classes, call chains) using tree-sitter across 158 languages — ships as a single static C binary with no dependencies and indexes even the Linux kernel in minutes. Essential if you're running Claude Code, Cursor, or any MCP-based agent over a large repo. 🔗 DeusData/codebase-memory-mcp (~32K stars)━━━━━━━━━━━━━━━━━━━━━━━━2. 🔒 Strix — Agentic AI Penetration Testing Authors/Org: usestrix | GitHub: usestrix/strix Bottleneck solved: Replaces noisy static scanners with a dynamic AI agent that validatesGitHubGitHub - DeusData/codebase-memory-mcp: High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge…High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static bin...AI, Data Science, Machine Learning & IOT
27 Jul, 08:10
🤖 AI Weekly Digest 📅 Week of Jul 21–Jul 27, 2026 ━━━━━━━━━━━━━━━━━━━━━━━━1. 🧠 Claude Opus 5 Arrives as Anthropic's New Frontier Model Anthropic released Claude Opus 5 on July 25, its most capable model yet — benchmarks show it outperforms GPT-5.6 Sol on FrontierCode 1.1 with a higher mergeability score at lower rollout cost. For developer and data teams, Opus 5 excels at long-horizon agentic coding tasks, complex reasoning chains, and multi-step pipeline orchestration, making it a strong upgrade for AI-assisted engineering workflows. 🔗 Claude Opus 5 vs GPT-5.6 Sol: Frontier Analysis━━━━━━━━━━━━━━━━━━━━━━━━2. 🇨🇳 Kimi K3's 2.8-Trillion-Parameter Open Weights Drop Today Moonshot AI released the open weights for Kimi K3 today (July 27) — a 2.8-trillion-parameter model that topped a major coding leaderboard against Claude Fable 5 and other frontier systems. Data and softwareLLM StatsClaude Opus 5 vs GPT-5.6 Sol: Frontier AnalysisClaude Opus 5 vs GPT-5.6 Sol on FrontierCode 1.1. Opus posts a higher mergeability score at lower rollout cost, with an important effort-setting caveat.
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