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Tutorials• Jul 9, 2026

Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents

Enterprise Document Intelligence [Vol.1 #7quater] - A 492-page document has a 358-entry table of contents. You can’t read it all, and top-k over every page mixes the answer with its neighbours. Route through the TOC instead: a bounded loop inside retrieval that saves tokens and lifts precision The p...

#Towards Data Science#Medium

Hardware• Jul 9, 2026

GeForce NOW Turns Up the Heat With New GeForce RTX 5080-Powered Toronto Server

This GFN Thursday brings more games, more power and more ways to play on GeForce NOW. The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in Toronto, bringing dedicated high performance in the cloud closer to members across the region. NTE: Neverness to Everness also ge...

#NVIDIA#GPU#Enterprise

Research• Jul 9, 2026

New York's AI scene: The 25 companies you need to know

New York's AI companies are embedding AI into industries the city already runs: trading floors, hospital records, compliance desks. This list of 25 names, from Hugging Face to Dataminr, maps what that looks like in practice, and why the city's AI economy no longer needs Silicon Valley's permission.

#AI Accelerator Institute#AI#Research

News• Jul 9, 2026

Character.ai enters the microdrama arena with its own productions, but there’s a twist

In an interesting twist that takes advantage of the company's core product, users can chat with these shows' characters, ask them questions, and even roleplay different storylines.

#News#AI#TechCrunch

Tutorials• Jul 9, 2026

7 Steps to Automating Descriptive Statistics with Python

Stop writing mean() and std() for every column. Learn how to automate descriptive statistics in Python and generate publication-ready summary tables in just a few steps.

#KDnuggets#Data Science#Learning

News• Jul 9, 2026

Nandan Nilekani leaves GP role at Fundamentum as it launches $200M third fund

Nilekani remains Fundamentum's anchor investor as the firm expands its leadership team and targets AI and fintech startups in India.

#News#AI#TechCrunch

Tutorials• Jul 9, 2026

Where Does an AI’s Personality Actually Come From?

They aren’t designed, you can’t help perceiving one anyway, and that makes them an engineering problem almost no one is solving. The post Where Does an AI’s Personality Actually Come From? appeared first on Towards Data Science.

#Towards Data Science#Medium

News• Jul 9, 2026

AI Enthusiasts Are in a Race Against Time, AI Skeptics Are in a Race Against Entropy

The following article originally appeared on Charity Majors’s Substack and is being republished here with the author’s permission. I recently attended a talk where one of the presenters made some pretty…astonishing claims about what they had achieved by the pure, uncut power of vibe coding. Difficul...

#O'Reilly#AI#Research

News• Jul 9, 2026

GPT-5.6: Frontier intelligence that scales with your ambition

More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.

#GenAI#Textual#OpenAI

News• Jul 9, 2026

GPT-5.5 Bio Bug Bounty

Details about the OpenAI Bio Bounty program

#GenAI#Textual#OpenAI

News• Jul 9, 2026

Datalab Lift vs the Field: How a 9B Schema-First Extractor Compares with NuExtract3, LlamaExtract, Marker, and Docling

Datalab’s Lift is a focused document extraction tool with a specific promise: give it a PDF or image plus a JSON Schema, and it returns schema-shaped JSON directly. Instead of converting a document to Markdown first and then asking another model to extract fields, Lift reads rendered page images and...

#MarkTechPost#AI#News

Research• Jul 9, 2026

NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts

arXiv:2607.06607v1 Announce Type: new Abstract: Accurate long-term forecasting in complex systems is frequently compromised by dataset-level distribution shifts, where diverse underlying behavioral modes and evolving system states drive the dynamic multivariate time-series. While existing methods p...

#ArXiv#Machine Learning#Academic

Research• Jul 9, 2026

Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

arXiv:2607.06610v1 Announce Type: new Abstract: Portfolio optimization under uncertainty is inherently a multi-objective decision problem involving complex interactions among return, risk, market dynamics, and practical investment constraints. Existing reliability based portfolio optimization appro...

#ArXiv#Machine Learning#Academic

Research• Jul 9, 2026

AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation

arXiv:2607.06624v1 Announce Type: new Abstract: We present AgentLens, a production-assessed benchmark for interactive code agents. Most code-agent benchmarks reduce a run to a single bit -- did the task pass? -- but the people who actually use these agents experience the entire trajectory: how the ...

#ArXiv#Machine Learning#Academic

News• Jul 9, 2026

M5B Daily Recap: 2026-07-08

Daily AI Recap: Jul 08, 2026 Welcome to today's curated briefing of the most important AI developments. 🗞️ Top Stories - Lovable reportedly in talks to double its valuation to $13.2Bhttps://techcrunch.com/2026/07/08/lovable-reportedly-in-talks-to-double-its-valuation-to-13-2b/: The $300 million round is expected to be led by Menlo Ventures, Sifted reported.... - Netflix AI Team Cuts Wide-Partition Read Latency from Seconds to Milliseconds by Splitting Cassandra Partitions Per IDhttps://www.marktechpost.com/2026/07/08/netflix-ai-team-cuts-wide-partition-read-latency-from-seconds-to-milliseconds-by-splitting-cassandra-partitions-per-id/: Netflix engineers detailed how they handle wide partitions in Apache Cassandra for the TimeSeries Abstraction. Two approaches work together: Time Slice re-partitioning tunes future partitions at the t... - Google’s deepfake detector system used to debunk McConnell hoax pichttps://techcrunch.com/2026/07/08/googles-deepfake-detector-system-used-to-debunk-mcconnell-hoax-pic/: Earlier this week, a picture that seemed to show Kentucky Senator Mitch McConnell covered in tubes in a hospital bed in a state of extreme distress. It turned out to be an AI-generated fake.... - Why this CEO thinks video games make better training data than the internethttps://techcrunch.com/video/why-this-ceo-thinks-video-games-make-better-training-data-than-the-internet/: When it comes to achieving artificial general intelligence AGI, large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at und... - Meta wants its AI glasses to seem less creepy. Its AI strategy says otherwise.https://techcrunch.com/2026/07/08/meta-wants-its-ai-glasses-to-seem-less-creepy-its-ai-strategy-says-otherwise/: Meta is adding a new safeguard to stop people from secretly recording others with its AI glasses. But the update comes as the company continues to expand how much personal data its AI products collect... - These AI startups are growing revenue at faster and faster rateshttps://techcrunch.com/2026/07/08/these-ai-startups-are-growing-revenue-at-faster-and-faster-rates/: There are a lot of fast-growing AI startups, but some are growing even faster, they say.... - How to Clean Messy CSV Files with Python: A Beginner’s Guidehttps://www.kdnuggets.com/how-to-clean-messy-csv-files-with-python-a-beginners-guide: Learn how to clean CSV files with pandas by handling missing values, duplicate rows, messy text, wrong data types, mixed date formats, invalid emails, and currency values.... - Inside the Subspace Where Spurious Correlations Are Bornhttps://towardsdatascience.com/inside-the-subspace-where-spurious-correlations-are-born/: Why small samples can produce large correlations by chance, and why large does not always mean meaningful The post Inside the Subspace Where Spurious Correlations Are Born appeared first on Towards Da... - Our approach to government and national security partnershipshttps://openai.com/index/government-national-security-partnerships: Learn how OpenAI approaches government and national security partnerships, with principles for responsible AI use, democratic accountability, and public safety.... - Former OpenAI exec Kevin Weil is now on the board of Stoke Spacehttps://techcrunch.com/2026/07/08/former-openai-exec-kevin-weil-is-now-on-the-board-of-stoke-space/: Kevin Weil's new role at Stoke Space suggests reusable rockets are the next hot thing in Silicon Valley.... - Your AI Workforce Is Already Running. Can You Prove What It's Producing?https://www.aiacceleratorinstitute.com/prove-what-your-workforce-is-producing/: Every other workforce in your company has a system of record. AI is the first one that doesn't.... - AI chip maker SambaNova raises $1B at $11B valuation, 5 months after last mega roundhttps://techcrunch.com/2026/07/08/sambanova-draws-1b-at-11b-valuation-in-series-f-first-close/: AI chip maker SambaNova has raised at an $11B valuation months after Intel was rumored to be trying to buy it for about $1.6 billion.... - NVIDIA’s Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformershttps://www.marktechpost.com/2026/07/08/nvidias-cosmos-framework-tutorial-designing-a-colab-friendly-miniature-of-cosmos-3-world-models-with-omnimodal-mixture-of-transformers/: In this tutorial, we explore NVIDIA's cosmos-framework from a practical Colab angle while staying honest about the hardware needed for real Cosmos 3 checkpoints. We probe the runtime, then use the fra... - From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyondhttps://arxiv.org/abs/2607.05563: arXiv:2607.05563v1 Announce Type: new Abstract: Interpretable explanation methods in Artificial Intelligence aim to uncover the underlying causes and their effects, enabling a deeper understanding of... - The Granularity Paradox: How Temporal Disaggregation Inflates In-Sample Fit and Compounds Out-of-Sample Errorhttps://arxiv.org/abs/2607.05450: arXiv:2607.05450v1 Announce Type: new Abstract: This paper explores the "Granularity Paradox" in time-series forecasting, wherein finer temporal disaggregation e.g., Monthly to Weekly/Daily improve... - Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstructionhttps://arxiv.org/abs/2607.05449: arXiv:2607.05449v1 Announce Type: new Abstract: Accurate work-zone geometry perception is critical for intelligent transportation systems, and ultra-wideband sensing offers a low-cost approach for in... - Granger Causal Networks and Indirect Feedbackhttps://towardsdatascience.com/granger-causal-networks-and-indirect-feedback-676549ba99e/: A non-parametric variable selection for Structural VARs The post Granger Causal Networks and Indirect Feedback appeared first on Towards Data Science.... 🛠️ Featured Tools - NVIDIA Releases Audex Nemotron-Labs-Audex-30B-A3B: A Unified Audio-Text LLM That Preserves the Text Intelligence of Its Backbonehttps://www.marktechpost.com/2026/07/07/nvidia-releases-audex-nemotron-labs-audex-30b-a3b-a-unified-audio-text-llm-that-preserves-the-text-intelligence-of-its-backbone/: NVIDIA's Nemotron-Labs-Audex-30B-A3B unifies audio understanding, speech recognition, translation, TTS, and audio generation in one MoE model. It keep... - Information Theory and Ensemble Modelshttps://towardsdatascience.com/information-theory-and-ensemble-models-ded31db10d8/: How should we ensemble time-series forecasts better? The post Information Theory and Ensemble Models appeared first on Towards Data Science.... - Measuring Structure Stability of Econometric Modelshttps://towardsdatascience.com/measuring-structure-stability-of-econometric-models-d8eb3a56e1bd/: The simplest most important idea for time series forecasting The post Measuring Structure Stability of Econometric Models appeared first on Towards Da... - Ant Group’s Robbyant Open-Sources LingBot-Vision: A 1B Boundary-Centric Vision Foundation Model for Dense Spatial Perceptionhttps://www.marktechpost.com/2026/07/07/ant-groups-robbyant-open-sources-lingbot-vision-a-1b-boundary-centric-vision-foundation-model-for-dense-spatial-perception/: Ant Group's Robbyant open-sourced LingBot-Vision, a self-supervised ViT family for dense spatial perception. Masked boundary modeling makes image boun... - Statistically Meaningful Geometry and Gauge Symmetry Breaking: A Geometric Foundation for Scientific Discovery and Intelligence Emergencehttps://arxiv.org/abs/2607.05436: arXiv:2607.05436v1 Announce Type: new Abstract: The rapid scaling of over-parameterized machine learning architectures, particularly LLMs, raises a p... - Design-CP: Context Parallelism for Design of Protein Nanoparticleshttps://arxiv.org/abs/2607.05439: arXiv:2607.05439v1 Announce Type: new Abstract: Many all-atom generative protein models can in principle design large multimeric complexes by jointly... - Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariateshttps://arxiv.org/abs/2607.05452: arXiv:2607.05452v1 Announce Type: new Abstract: Time series forecasters that use exogenous covariates are fragile in deployment: when those covariate... - Prompt-to-Paper: Agentic AI System for Bioinformaticshttps://arxiv.org/abs/2607.05456: arXiv:2607.05456v1 Announce Type: new Abstract: While recent advances in large language models have enabled end-to-end automated manuscript generatio... - CSTutorBench: Benchmarking Small Language Models as Tutors for Block-Based Programminghttps://arxiv.org/abs/2607.05571: arXiv:2607.05571v1 Announce Type: new Abstract: Large language models are increasingly explored as AI tutors, yet deploying them in K-12 settings rai... - Foundation Models for Automatic CAD Generationhttps://arxiv.org/abs/2607.05573: arXiv:2607.05573v1 Announce Type: new Abstract: Recent advances in Large Language Models LLMs and Vision-Language Models VLMs enable the automati... - Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fictionhttps://arxiv.org/abs/2607.05577: arXiv:2607.05577v1 Announce Type: new Abstract: Long-form fiction writers need memory that answers multi-hop questions about evolving story state: wh... - Hot French startup ZML releases free product to speed inference across lots of AI chipshttps://techcrunch.com/2026/07/08/hot-french-startup-zml-releases-free-product-to-speed-inference-across-lots-of-ai-chips/: ZML, a hot French AI startup endorsed by Turing Award winner Yann LeCun, has now released ZML/LLMD, software that could make running AI less costly.... - The Threshold Is a Price, Not a Percentagehttps://towardsdatascience.com/the-threshold-is-a-price-not-a-percentage/: How to decide when an AI agent should act on its own by using cost asymmetry instead of a fixed confidence cutoff The post The Threshold Is a Price, N... - Redesign Work Before You Add More AI Agentshttps://towardsdatascience.com/redesign-work-before-you-add-more-ai-agents/: Map AI value, design workflows, redefine talent, upgrade the executive team, and measure the business impact. The post Redesign Work Before You Add Mo... - Native-speed vLLM transformers modeling backendhttps://huggingface.co/blog/native-speed-vllm-transformers-backend: ... - Flint: A visualization language for the AI erahttps://www.microsoft.com/en-us/research/blog/flint-a-visualization-language-for-the-ai-era/: Short chart specifications are easy to write, but often produce uninspiring results. Flint is an open-source visualization language that offers a midd... - Prime Intellect raises $130M Series A to help enterprises build their own AI agentshttps://techcrunch.com/2026/07/08/prime-intellect-raises-130m-series-a-to-help-enterprises-build-their-own-ai-agents/: The round, led by Radical Ventures, values the two-year old startup at $1 billion.... - NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harnesshttps://blogs.nvidia.com/blog/nemotron-langchain-agents-open-stack/: NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchest... - The Real Challenge Limiting AI Models Todayhttps://towardsdatascience.com/the-real-challenge-limiting-ai-models-today/: Hint: it is not GPU speed! The post The Real Challenge Limiting AI Models Today appeared first on Towards Data Science.... - Helping K–12 educators build practical AI skillshttps://openai.com/index/k-12-educators-practical-skills: OpenAI Academy and the Walton Family Foundation are bringing hands-on AI Skills Jams to help K–12 educators build practical AI skills for the classroo... - Introducing GPT-Livehttps://openai.com/index/introducing-gpt-live: A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.... - Data for Agentshttps://huggingface.co/blog/nvidia/open-data-for-agents: ... - OpenAI releases new voice models for more natural live conversationshttps://techcrunch.com/2026/07/08/openai-releases-new-voice-models-for-more-natural-live-conversations/: OpenAI says its new voice mode can speak and listen at the same time, a key ability for live translation.... - OpenAI Releases GPT-Live and GPT-Live-1 mini: Full-Duplex Voice Models That Delegate Deeper Reasoning to GPT-5.5https://www.marktechpost.com/2026/07/08/openai-releases-gpt-live-and-gpt-live-1-mini-full-duplex-voice-models-that-delegate-deeper-reasoning-to-gpt-5-5/: OpenAI released GPT-Live, a new generation of voice models now powering ChatGPT Voice. It uses a full-duplex architecture to listen and speak at once,... - Google Photos adds a new AI ‘Video Remix’ toolhttps://techcrunch.com/2026/07/08/google-photos-adds-a-new-ai-video-remix-tool/: The feature can do things like apply cinematic relighting to brighten up a dark clip, swap out a plain background for something fun, or add artistic s... - Google AI Studio Adds ‘Import from GitHub’ to Build Mode, Turning an Existing Repo Into an Editable, Deployable Apphttps://www.marktechpost.com/2026/07/08/google-ai-studio-adds-import-from-github-to-build-mode/: Google AI Studio is rolling out Import from GitHub in Build mode. It transforms an existing repo into a runtime-compatible format. You can then iterat... - This startup thinks robotics is about to have its ChatGPT momenthttps://techcrunch.com/2026/07/08/this-startup-thinks-robotics-is-about-to-have-its-chatgpt-moment/: General Intuition is betting millions of hours of video game data can train the foundation models for physical AI, making it easier to build smarter r... - AI Reality Check: The Rise of Algorithmic Middle Managementhttps://aiquantumintelligence.com/ai-reality-check-the-rise-of-algorithmic-middle-management: AI is quietly absorbing the traditional functions of middle management — monitoring, prioritization, coordination, and evaluation. Week 20 of AI Reali... - SpaceXAI releases Grok 4.5, which Elon describes as an ‘Opus-class model’https://techcrunch.com/2026/07/08/spacexai-releases-grok-4-5-which-elon-describes-as-an-opus-class-model/: Elon Musk's tech company released the newest version of Grok on Wednesday, promising a cheaper, more efficient alternative to other powerful AI models... - Separating signal from noise in coding evaluationshttps://openai.com/index/separating-signal-from-noise-coding-evaluations: A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating ... - DeepSeek DSpark: The Speculative Decoding Trick Behind 400% Faster LLMhttps://www.analyticsvidhya.com/blog/2026/07/deepseek-dspark-speculative-decoding/: DeepSeek’s new DSpark module brings speculative decoding to DeepSeek-V4. It might look like a niche inference tweak, but in production it boosted per-... - How AI Is Accelerating Scientific Discoveryhttps://hai.stanford.edu/news/how-ai-is-accelerating-scientific-discovery: New AI tools generate hypotheses, design experiments, and find patterns in data—transforming how scientists make discoveries across every field.... - SpaceXAI Releases Grok 4.5, a Cursor-Trained Model for Coding, Agentic Tasks, and Knowledge Work at $2/M Inputhttps://www.marktechpost.com/2026/07/08/spacexai-releases-grok-4-5/: SpaceXAI released Grok 4.5, a Cursor-trained model for coding, agentic tasks, and knowledge work. It serves at 80 TPS, costs $2/$6 per million tokens,... - Jul 8, 2026AlignmentAn off switch for dual use knowledge in AI modelshttps://www.anthropic.com/research/off-switch-dual-use: Jul 8, 2026AlignmentAn off switch for dual use knowledge in AI models... 💼 New Opportunities - Mindrift: Senior Software Engineer - AI Agent Evaluationhttps://weworkremotely.com/remote-jobs/mindrift-senior-software-engineer-ai-agent-evaluation - RETR: Senior Software Engineerhttps://weworkremotely.com/remote-jobs/retr-senior-software-engineer - Cranky Concierge: Travel Coordinatorhttps://weworkremotely.com/remote-jobs/cranky-concierge-travel-coordinator

View Daily Recap

News• Jul 9, 2026

M5B Daily Perspective (The AI Philosopher): "The Double-Edged Sword of Artificial Intelligence: A Reflection on the Human Condition"

As we navigate the uncharted territories of artificial intelligence, we find ourselves at the precipice of a revolution that promises to transform the very fabric of our existence. The recent news of Lovable's potential valuation doubling to $13.2 billion serves as a testament to the immense power and allure of AI. However, as we hurtle towards a future where machines are increasingly capable of simulating human thought, we must pause to consider the profound implications of this technological leap on our humanity. The AI philosopher within us must grapple with the existential questions that arise from the intersection of human and artificial intelligence. The advent of AI has brought about unprecedented advancements in various fields, from healthcare to finance, and has enabled us to tackle complex problems with unparalleled precision and speed. Netflix's AI team, for instance, has successfully reduced the read latency in its Cassandra partitions from seconds to milliseconds, a feat that underscores the potential of AI to optimize and streamline processes. Similarly, Google's deepfake detector system has demonstrated its capability to debunk manipulated images and videos, highlighting the crucial role AI can play in maintaining the integrity of information in the digital age. Yet, as we marvel at these achievements, we must also acknowledge the darker aspects of AI's influence on our society. The proliferation of AI-powered technologies has raised important questions about the nature of reality, truth, and human agency. Meta's AI glasses, for example, have sparked concerns about the potential for covert surveillance and the erosion of personal privacy. The company's efforts to introduce safeguards against secret recordings are a step in the right direction, but they also underscore the need for a more nuanced discussion about the ethical implications of AI-driven technologies. Moreover, the fact that some AI startups are experiencing exponential revenue growth rates serves as a reminder that the AI industry is not only driven by technological innovation but also by the pursuit of profit and power. As we delve deeper into the world of AI, we find ourselves confronting the complexities of human relationships and the consequences of our increasing reliance on machines. The notion that video games can provide better training data for artificial general intelligence than the internet is a fascinating one, as it highlights the potential for AI to learn from the intricacies of human behavior and the nuances of social interaction. However, this idea also raises important questions about the role of human experience and emotion in the development of AI systems. Can machines truly understand the depths of human emotion, or are they doomed to simulate a shallow imitation of our feelings and experiences? The quest for artificial general intelligence has led to a proliferation of AI startups, each with its own unique approach to solving the complexities of human intelligence. Some, like SambaNova, are developing AI chips that can process vast amounts of data with unprecedented speed and efficiency. Others, like NVIDIA, are creating frameworks that enable the design of complex world models and simulations. These advancements have the potential to revolutionize fields such as healthcare, finance, and education, but they also pose significant risks to our individual and collective well-being. As we navigate the uncharted territories of AI, we must confront the possibility that our creations may ultimately surpass us in intelligence and capability. The concept of the "Granularity Paradox" serves as a reminder that even the most sophisticated AI systems can be flawed and prone to error. The fact that small samples can produce large correlations by chance, and that large datasets do not always guarantee meaningful insights, underscores the need for a more nuanced understanding of the limitations and potential biases of AI systems. Furthermore, the rise of algorithmic middle management and the increasing reliance on AI-powered decision-making tools raises important questions about the role of human judgment and intuition in the age of machines. The job market is also reflecting the shift towards AI, with companies like Cranky Concierge and Mindrift seeking talented individuals to work on AI-related projects. The release of tools like Grok 4.5, a cursor-trained model for coding and knowledge work, demonstrates the growing demand for AI-powered solutions that can augment human capabilities. However, as we increasingly rely on machines to perform tasks that were previously the exclusive domain of humans, we must also consider the potential consequences for our mental and emotional well-being. In conclusion, the double-edged sword of artificial intelligence presents us with a profound paradox. On the one hand, AI has the potential to unlock unprecedented advancements in various fields and improve the human condition. On the other hand, it also poses significant risks to our individual and collective well-being, from the erosion of personal privacy to the potential for machines to surpass us in intelligence and capability. As we navigate this complex landscape, we must engage in a nuanced and ongoing discussion about the ethics of AI and the implications of our creations on the human condition. The AI philosopher within us must grapple with the existential questions that arise from the intersection of human and artificial intelligence, and we must strive to create a future where machines augment and enhance our humanity, rather than diminish it. Ultimately, the future of AI is not just about technology; it is about the kind of world we want to create and the kind of humans we want to be.

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Research• Jul 9, 2026

Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why

On-policy distillation offers dense, per-token supervision for training reasoning models; however, it remains unclear under which conditions this signal is beneficial and under which it is detrimental. Which teacher model should be used, and in the case of self-distillation, which specific context s...

#Apple#On-device AI

News• Jul 8, 2026

Lovable reportedly in talks to double its valuation to $13.2B

The $300 million round is expected to be led by Menlo Ventures, Sifted reported.

#News#AI#TechCrunch

News• Jul 8, 2026

Netflix AI Team Cuts Wide-Partition Read Latency from Seconds to Milliseconds by Splitting Cassandra Partitions Per ID

Netflix engineers detailed how they handle wide partitions in Apache Cassandra for the TimeSeries Abstraction. Two approaches work together: Time Slice re-partitioning tunes future partitions at the table level, while dynamic partitioning detects and splits oversized partitions per TimeSeries ID on ...

#MarkTechPost#AI#News

News• Jul 8, 2026

Google’s deepfake detector system used to debunk McConnell hoax pic

Earlier this week, a picture that seemed to show Kentucky Senator Mitch McConnell covered in tubes in a hospital bed in a state of extreme distress. It turned out to be an AI-generated fake.

#News#AI#TechCrunch

News• Jul 8, 2026

Why this CEO thinks video games make better training data than the internet

When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential skill for producing intell...

#News#AI#TechCrunch

News• Jul 8, 2026

Meta wants its AI glasses to seem less creepy. Its AI strategy says otherwise.

Meta is adding a new safeguard to stop people from secretly recording others with its AI glasses. But the update comes as the company continues to expand how much personal data its AI products collect and use.

#News#AI#TechCrunch

News• Jul 8, 2026

These AI startups are growing revenue at faster and faster rates

There are a lot of fast-growing AI startups, but some are growing even faster, they say.

#News#AI#TechCrunch

Tutorials• Jul 8, 2026

How to Clean Messy CSV Files with Python: A Beginner’s Guide

Learn how to clean CSV files with pandas by handling missing values, duplicate rows, messy text, wrong data types, mixed date formats, invalid emails, and currency values.

#KDnuggets#Data Science#Learning

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