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News• Jun 3, 2026

Tod Machover receives George Peabody Medal for contributions to music and technology

The George Peabody Medal is the highest honor bestowed by the Peabody Institute of the Johns Hopkins University.

#MIT#AI

News• Jun 3, 2026

Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal

If Alphabet's record-breaking, $85 billion stock sale signals investor appetite for AI-related offerings, we can see that investors are ready to chow.

#News#AI#TechCrunch

News• Jun 3, 2026

How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers

We build a document intelligence backend with iii by registering modular functions and reusing them across multiple triggers. The post How to Build a Document Intelligence Backend with iii Using Workers, Functions, and Cron Triggers appeared first on MarkTechPost.

#MarkTechPost#AI#News

Tutorials• Jun 3, 2026

I Spent May Evaluating Different Engines for OCR

Testing fourteen engines on ninety-three human documents The post I Spent May Evaluating Different Engines for OCR appeared first on Towards Data Science.

#Towards Data Science#Medium

Tutorials• Jun 3, 2026

Why AI Is NOT Stealing Your Job

AI does not decide who gets fired. Companies do. The post Why AI Is NOT Stealing Your Job appeared first on Towards Data Science.

#Towards Data Science#Medium

Tutorials• Jun 3, 2026

How to Write to Files in Python: A Beginner’s Guide

Learn how to write, append, and save text, CSV, and JSON files in Python using native file handling tools that work out of the box.

#KDnuggets#Data Science#Learning

News• Jun 3, 2026

Introducing new capabilities to GPT-Rosalind

GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities.

#GenAI#Textual#OpenAI

News• Jun 3, 2026

5 ways Google Search can level up your thrift and vintage shopping

A colorful, grain-textured collage of various items scattered across a light blue background. The items include a green bucket hat, a wooden clothes hanger, a blue-and-red striped collar, blue sunglasses, denim shorts, a yellow price tag, a red high-heele

#Google#AI

News• Jun 3, 2026

OpenAI public policy agenda

OpenAI outlines its public policy agenda for AI, including safety, youth protection, workforce transition, and global standards to ensure AI benefits society.

#GenAI#Textual#OpenAI

Research• Jun 3, 2026

Testing the Test: Score-Direction Instability in Class-Split Anomaly Detection

arXiv:2606.02601v1 Announce Type: new Abstract: Within-dataset class-split evaluation is widely used as a proxy for fully unconditional out-of-distribution anomaly detection. We show that this protocol can become ill-posed when the held-out anomaly class overlaps the normal mixture in representatio...

#ArXiv#Machine Learning#Academic

Research• Jun 3, 2026

Assessing Region-Level EEG Contributions to Cognitive Workload Prediction

arXiv:2606.02598v1 Announce Type: new Abstract: Accurate and generalizable estimation of cognitive workload from electroencephalography (EEG) is critical for human-centered and safety-critical systems. Although EEG is widely used for workload assessment, the consistency of region-level EEG contribu...

#ArXiv#Machine Learning#Academic

Research• Jun 3, 2026

Making Brain-Computer Interfaces More Secure

arXiv:2606.02597v1 Announce Type: new Abstract: The development of brain-computer interfaces (BCIs) based on electroencephalograms (EEGs) has advanced significantly mainly to machine learning. Although the majority of earlier research has been on increasing classification accuracy, relatively littl...

#ArXiv#Machine Learning#Academic

Research• Jun 3, 2026

Spectral Asymptotics of Neural Network Loss Landscapes: An Exact Decomposition of the Curvature Exponent

arXiv:2606.02596v1 Announce Type: new Abstract: The curvature exponent $\alpha$ in $h_k \propto \sigma_k^\alpha$ -- governing how Hessian eigenvalues scale with gradient singular values -- varies systematically across layer types ($\alpha \approx 2$ for convolutions, $\approx 1$ for transformer att...

#ArXiv#Machine Learning#Academic

Engineering• Jun 3, 2026

Dynamically Splitting Wide Partitions in Cassandra for Time Series Workloads

By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik SathyanarayananIntroductionNetflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal event data with millisecond latency. We use Apache Cassandra 4.x as the underlying storage for these main r...

#Netflix#MLOps#Engineering

News• Jun 3, 2026

How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Coding Tutorial on Google Colab

Learn to fine-tune LFM2 with QLoRA, supervised fine-tuning, DPO, and adapter merging using TRL and PEFT on Colab. The post How to Fine-Tune LFM2 Using QLoRA and DPO: A Complete Step-by-Step Coding Tutorial on Google Colab appeared first on MarkTechPost.

#MarkTechPost#AI#News

News• Jun 3, 2026

M5B Daily Perspective (The AI Philosopher): "The Double-Edged Sword of AI Progress"

As we navigate the uncharted waters of artificial intelligence, it's becoming increasingly clear that the rapid advancements in this field are a double-edged sword. On one hand, AI has the potential to revolutionize numerous aspects of our lives, from healthcare and education to transportation and entertainment. On the other hand, the unchecked growth of AI raises important questions about the ethics, societal implications, and human impact of this technology. In this essay, we'll delve into the complexities of AI progress, exploring both the benefits and the drawbacks of this phenomenon. The recent news that Uber has capped employee AI spending after blowing through its budget in just four months serves as a telling example of the AI frenzy that's currently sweeping the tech industry. While it's understandable that companies like Uber want to harness the power of AI to drive innovation and stay competitive, the fact that they're doing so without a clear understanding of the long-term consequences is a cause for concern. This lack of foresight is not unique to Uber, as evidenced by the numerous reports of companies rushing to integrate AI into their operations without fully considering the potential risks and downsides. Meanwhile, Microsoft's launch of a new tool that allows developers to spin up AI behavior tests using text descriptions is a promising development that could help mitigate some of the risks associated with AI. By providing a more straightforward and accessible way to test and evaluate AI systems, Microsoft is taking a crucial step towards ensuring that these technologies are developed and deployed in a responsible manner. Similarly, the company's efforts to give developers better control over AI agent behavior are a welcome move, as they acknowledge the need for greater transparency and accountability in the development of AI systems. However, not all AI-related news is positive. The fact that scammers are increasingly using AI deepfake impersonation scams to deceive people is a stark reminder of the darker side of this technology. Google's rollout of fake call detection is a necessary response to this threat, but it also highlights the cat-and-mouse game that's being played between AI developers and those who seek to exploit these technologies for malicious purposes. As AI continues to evolve and improve, it's likely that we'll see even more sophisticated scams and cyber threats emerge, making it essential that we prioritize AI safety and security. One of the most intriguing aspects of AI is its potential to augment human creativity and imagination. The news that Martin Scorsese, one of the world's most renowned film directors, is using AI to explore new storytelling possibilities is a fascinating example of this trend. By leveraging AI to generate ideas and experiment with different narrative structures, Scorsese is pushing the boundaries of what's possible in the world of cinema. This collaboration between humans and AI has the potential to yield innovative and groundbreaking works of art, and it's an area that we'll likely see more of in the future. As AI becomes increasingly integrated into our daily lives, it's essential that we consider the human impact of this technology. The fact that Rocket engine startup Impulse has raised $500 million to hire people, not AI, is a heartening reminder that there are still many areas where human talent and expertise are indispensable. While AI can certainly augment and support human capabilities, it's crucial that we don't forget the value of human judgment, empathy, and creativity. By striking a balance between the benefits of AI and the need for human involvement, we can create a future where technology serves to enhance and augment human life, rather than replacing it. The recent call by OpenAI for global action on youth AI safety is a timely reminder of the need for responsible AI development and deployment. As AI becomes more pervasive, it's essential that we prioritize the well-being and safety of young people, who are often the most vulnerable to the potential risks and downsides of this technology. By working together to establish clear guidelines and standards for AI development, we can help ensure that this technology is used in a way that benefits everyone, rather than just a select few. The world of AI is also seeing significant advancements in the field of finance, where transaction foundation models are being used to build custom intelligence for financial institutions. This trend has the potential to revolutionize the way that banks and other financial organizations approach risk management, fraud detection, and customer service. However, it also raises important questions about the potential risks and biases associated with AI-driven decision-making in the financial sector. As we move forward, it's crucial that we prioritize transparency, accountability, and fairness in the development and deployment of AI systems in finance. The latest research papers and breakthroughs in AI are a testament to the rapid progress being made in this field. From the development of more efficient spectral energy-guided bit allocation for MoE LLM quantization to the creation of optimal transport-based permutation-invariant Bayesian optimization of offshore wind farm layouts, it's clear that AI is pushing the boundaries of what's possible in a wide range of fields. However, as we celebrate these advancements, we must also acknowledge the potential risks and downsides of this technology. By engaging in open and honest discussions about the ethics and societal implications of AI, we can work towards creating a future where this technology is used to benefit humanity as a whole. As we look to the future, it's clear that the development and deployment of AI will be shaped by a complex interplay of technological, social, and economic factors. The jobs of the future will likely require a combination of human skills, such as creativity, empathy, and critical thinking, alongside the ability to work effectively with AI systems. The recent job postings for positions such as product manager for Bonsai, devops lead, and senior devops engineer are a testament to the growing demand for professionals who can navigate the intersection of human and artificial intelligence. In conclusion, the double-edged sword of AI progress is a complex and multifaceted phenomenon that requires careful consideration and reflection. As we navigate the benefits and drawbacks of this technology, it's essential that we prioritize human well-being, safety, and dignity. By working together to create a future where AI is developed and deployed in a responsible and ethical manner, we can unlock the full potential of this technology and create a brighter, more equitable world for all.

Read Daily Perspective

News• Jun 3, 2026

M5B Daily Recap: 2026-06-02

Daily AI Recap: Jun 02, 2026 Welcome to today's curated briefing of the most important AI developments. 🗞️ Top Stories - Uber caps employee AI spending after blowing through budget in four monthshttps://techcrunch.com/2026/06/02/uber-caps-employee-ai-spending-after-blowing-through-budget-in-four-months/: Uber's cutback has occurred after the company had reportedly encouraged staff to use AI as much as possible.... - New Microsoft tool lets devs spin up AI behavior tests using text descriptionshttps://techcrunch.com/2026/06/02/new-microsoft-tool-lets-devs-spin-up-ai-behavior-tests-using-text-descriptions/: Microsoft on Tuesday took the wraps off Adaptive Spec-driven Scoring for Evaluation and Regression Testing, an open-source framework for spinning up AI evaluations.... - Martin Scorsese becomes the latest — and most unlikely — Hollywood voice for AIhttps://techcrunch.com/2026/06/02/martin-scorsese-becomes-the-latest-and-most-unlikely-hollywood-voice-for-ai/: The caveat is that one of the world's most famous living directors is using the tech solely for storyboarding.... - Microsoft offers devs a better way to control AI agent behaviorhttps://techcrunch.com/2026/06/02/microsoft-offers-devs-a-better-way-to-control-ai-agent-behavior/: The specification lets developer, compliance and security teams define their own policies for agents to follow in portable policy files.... - Google rolls out fake call detection to protect against AI deepfake impersonation scamshttps://techcrunch.com/2026/06/02/google-rolls-out-fake-call-detection-to-protect-against-ai-deepfake-impersonation-scams/: As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figur... - How to Use Claude Managed Agents?https://www.analyticsvidhya.com/blog/2026/06/claude-managed-agents/: If you’ve ever tried to ship an AI agent into production, you know the hard part usually isn’t the model. It’s everything around it: sandboxing, state management, credential handling, tool execution, ... - Anthropic scales Claude Mythos to critical infrastructure in 15+ countrieshttps://techcrunch.com/2026/06/02/anthropic-scales-claude-mythos-to-critical-infrastructure-in-15-countries/: Anthropic is expanding Project Glasswing, its security vulnerability program, and access to Mythos to 150 organizations across 15 countries — targeting critical infrastructure in power, water, healthc... - Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM?https://machinelearningmastery.com/scikit-llm-vs-traditional-text-classifiers-when-should-you-use-an-llm/: In recent years, generative AI models like LLMs large language models have gradually taken over classical machine learning ones for addressing certain tasks, for instance, text classification .... - Exploring Income Patterns with Python Pandas, Matplotlib, and Seabornhttps://towardsdatascience.com/from-raw-census-data-to-powerful-insights-exploring-income-patterns-with-pandas-matplotlib-seaborn/: Exploratory data analysis on the US Census Dataset The post Exploring Income Patterns with Python Pandas, Matplotlib, and Seaborn appeared first on Towards Data Science.... - Rocket engine startup Impulse raises $500 million to hire people, not AIhttps://techcrunch.com/2026/06/02/rocket-engine-startup-impulse-raises-500-million-to-hire-people-not-ai/: Engineering physical systems still depends on human talent, according to Impulse Space president Eric Romo.... - Advancing youth safety and opportunity through global leadershiphttps://openai.com/index/advancing-youth-safety-and-opportunity-through-global-leadership: OpenAI calls for global action on youth AI safety through a dedicated AI Safety Institute... - Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligencehttps://blogs.nvidia.com/blog/financial-institutions-transaction-foundation-models/: Financial institutions have spent years building AI: fraud models, credit models, recommendation engines and risk systems. While this sprawl of task-specific models has been effective, it’s also const... - BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantizationhttps://arxiv.org/abs/2606.00079: arXiv:2606.00079v1 Announce Type: new Abstract: Mixture-of-Experts MoE large language models reduce per-token computation through sparse expert activation, but their deployment remains memory-inten... - Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbationshttps://arxiv.org/abs/2606.00002: arXiv:2606.00002v1 Announce Type: new Abstract: Mixed-Integer Linear Programming MILP decision engines routinely output nominally optimal plans for high-stakes industrial systems. Yet deployment ra... - Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm Layoutshttps://arxiv.org/abs/2606.00009: arXiv:2606.00009v1 Announce Type: new Abstract: Bayesian Optimization BO is widely and successfully adopted for solving optimization problems having an expensive-to-evaluate, black-box, and non-con... - How to Speed Up Transformer Training Using NVIDIA Apex FusedAdam, FusedLayerNorm and Native torch.amphttps://www.marktechpost.com/2026/06/01/how-to-speed-up-transformer-training-using-nvidia-apex-fusedadam-fusedlayernorm-and-native-torch-amp/: We build NVIDIA Apex from source, detect fused kernels, and benchmark FusedAdam, FusedLayerNorm, and torch.amp in Transformer training. The post How to Speed Up Transformer Training Using NVIDIA Apex ... 🛠️ Featured Tools - NVIDIA Jetson Brings Agentic AI to the Physical Worldhttps://blogs.nvidia.com/blog/jetson-agentic-ai-physical-world/: Agentic AI is getting physical. At COMPUTEX on Tuesday, NVIDIA announced NVIDIA JetPack 7.2 and NVIDIA NemoClaw support on NVIDIA Jetson. JetPack 7.2 ... - DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitionshttps://arxiv.org/abs/2606.00081: arXiv:2606.00081v1 Announce Type: new Abstract: Distributed Acoustic Sensing DAS enables large-scale monitoring through optical fibers, but its hig... - Hoeffding Concept Bottleneck Models with Applications to Overhead Imageshttps://arxiv.org/abs/2606.00082: arXiv:2606.00082v1 Announce Type: new Abstract: Explainability of deep learning algorithms is critical for computer-vision applications with high-sta... - From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Modelshttps://arxiv.org/abs/2606.00083: arXiv:2606.00083v1 Announce Type: new Abstract: Reinforcement learning relies on accurate reward functions, which are often hand-crafted or even unav... - A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularityhttps://arxiv.org/abs/2606.00129: arXiv:2606.00129v1 Announce Type: new Abstract: Large language models LLMs have emerged as powerful representation learners whose internal features... - Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesishttps://arxiv.org/abs/2606.00005: arXiv:2606.00005v1 Announce Type: new Abstract: We present the Consilium Protocol, a Byzantine Fault Tolerance-derived architecture for structured mu... - Deliberative Curation: A Protocol for Multi-Agent Knowledge Baseshttps://arxiv.org/abs/2606.00007: arXiv:2606.00007v1 Announce Type: new Abstract: As AI agents transition from isolated tools to collaborative participants in shared knowledge ecosyst... - Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimizationhttps://arxiv.org/abs/2606.00008: arXiv:2606.00008v1 Announce Type: new Abstract: Multi-objective molecular optimization requires searching vast chemical spaces under conflicting obje... - JetBrains Releases Mellum2: A 12B MoE Model for Fast, Specialized Tasks in Multi-Model AI Pipelineshttps://www.marktechpost.com/2026/06/02/jetbrains-releases-mellum2-a-12b-moe-model-for-fast-specialized-tasks-in-multi-model-ai-pipelines/: JetBrains releases Mellum2 under Apache 2.0 — a 12B MoE model trained on 10.6 trillion tokens for AI workflows. The post JetBrains Releases Mellum2: A... - Codex is becoming a productivity tool for everyonehttps://openai.com/index/codex-for-knowledge-work: The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation,... - Alibaba’s Qwen Team Launches Qwen3.7-Plus, Adding Vision, Deep Reasoning, Tool Invocation, and Autonomous Iteration on the Bailian Platformhttps://www.marktechpost.com/2026/06/02/alibabas-qwen-team-launches-qwen3-7-plus-adding-vision-deep-reasoning-tool-invocation-and-autonomous-iteration-on-the-bailian-platform/: Qwen3.7-Plus is Alibaba's multimodal agent model on Bailian, understanding images and video while adding self-programming and tool invocation. The pos... - How small businesses can leverage AIhttps://www.technologyreview.com/2026/06/02/1138227/how-small-businesses-can-leverage-ai/: This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in yo... - 6 things to fix before RLHF turns your biases into featureshttps://www.aiacceleratorinstitute.com/6-things-to-fix-before-rlhf-turns-your-biases-into-features/: Your reward model is learning exactly what your annotators prefer. The problem is that "better" and "unbiased" are two different things, and RLHF has ... - Rehumanizing global health care with agentic AIhttps://www.technologyreview.com/2026/06/02/1137827/rehumanizing-global-health-care-with-agentic-ai/: The global health care sector is under increasing strain. Decades of chronic underinvestment and constraints in recruitment have coincided with a sur... - 10 GitHub Repositories for Modern Database Systems and Toolshttps://www.kdnuggets.com/10-github-repositories-for-modern-database-systems-and-tools: Explore 10 top open-source GitHub repositories for modern databases, analytics, SQL, caching, monitoring, replication, PostgreSQL, SQLite, and AI agen... - ZeroDrift raises $10 million to protect AI models from themselveshttps://techcrunch.com/2026/06/02/zerodrift-raises-10-million-to-protect-ai-models-from-themselves/: A new AI compliance service sits between AI models and end users to flag and replace any messages that might present a compliance problem.... - From Regex to Vision Models: Which RAG Technique Fits Which Problemhttps://towardsdatascience.com/from-regex-to-vision-models-which-rag-technique-fits-which-problem/: Enterprise Document Intelligence Vol.1 4 - A diagnostic across PDFs and questions, and a map of the techniques the rest of the series will cover Th... - Holo3.1: Fast & Local Computer Use Agentshttps://huggingface.co/blog/Hcompany/holo31: ... - A Gentle Primer on LLM Explainabilityhttps://www.kdnuggets.com/a-gentle-primer-on-llm-explainability: This article discusses LLM explainability and outlines the advances, trends, and ongoing developments in this important field of study.... - Travelers deploys AI-powered claims countrywide with OpenAIhttps://openai.com/index/travelers: Travelers built an AI-powered Claim Assistant with OpenAI to guide customers through filing claims, provide 24/7 support, and scale operations during ... - From Local App to Public Website in Minuteshttps://towardsdatascience.com/from-local-app-to-public-website-in-minutes/: Three free ways to quickly deploy a static web app that anyone can access The post From Local App to Public Website in Minutes appeared first on Towar... - 5 questions AI agent vendors hope you don't askhttps://www.aiacceleratorinstitute.com/5-questions-ai-agent-vendors-hope-you-dont-ask/: Most AI agent failures don't happen during the demo. They happen when APIs fail, context windows explode, costs spiral, and nobody can explain why the... - Codex for every role, tool, and workflowhttps://openai.com/index/codex-for-every-role-tool-workflow: Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.... - OpenAI launches new Codex tools for white-collar workhttps://techcrunch.com/2026/06/02/openai-launches-new-codex-tools-for-white-collar-work/: OpenAI is getting serious about courting enterprise users. On Tuesday, the AI lab released a new set of capabilities for Codex, meant to expand the ag... - Trump signs narrower executive order on AI oversight after industry objectionshttps://techcrunch.com/2026/06/02/trump-signs-narrower-executive-order-on-ai-oversight-after-industry-objections/: After industry objections, President Trump signed a revised AI executive order requiring only voluntary prerelease government reviews of advanced mode... - Code Is Cheap. Engineering Judgement Is Now the Scarce Resourcehttps://towardsdatascience.com/code-is-cheap-engineering-judgement-is-now-the-scarce-resource/: The barriers to building have collapsed. That shifts the bottleneck to ownership, validation, taste, and deciding what should actually exist The post ... - Amazon faces class action lawsuit over Ring facial recognition featurehttps://techcrunch.com/2026/06/02/amazon-faces-class-action-lawsuit-over-ring-facial-recognition-feature/: The class action lawsuit, filed in Seattle by Virginia resident Charles Sigwalt, claims that Ring's Familiar Faces feature stores images of passersby ... - TinyFish Launches BigSet: An Open-Source Multi-Agent System That Builds Structured Live Datasets from Plain-English Descriptionshttps://www.marktechpost.com/2026/06/02/tinyfish-launches-bigset-an-open-source-multi-agent-system-that-builds-structured-live-datasets-from-plain-english-descriptions/: Describe a dataset in one sentence; Bigset's orchestrator and parallel sub-agents research the live web and return structured tables. The post TinyFis... - Microsoft launches Scout, an OpenClaw-inspired personal assistanthttps://techcrunch.com/2026/06/02/microsoft-launches-scout-an-openclaw-inspired-personal-assistant/: Launched at Build, Microsoft Scout is a new AI assistant meant to bring the power and flexibility of OpenClaw into the Microsoft 365 system.... - NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Localhttps://blogs.nvidia.com/blog/microsoft-build-windows-local-cloud-devices/: The agentic AI moment has arrived, but delivering on its promise requires more than good models. It also takes fast hardware, secure runtimes, a respo... - Cyera eyes $12B valuation at 80x ARR multiple despite operating losseshttps://techcrunch.com/2026/06/02/cyera-eyes-12b-valuation-at-80x-arr-multiple-despite-operating-losses/: The cybersecurity company is nearing a $300 million round led by Evolution Equity Partners.... - Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClawhttps://blogs.nvidia.com/blog/industrial-software-leaders-secure-autonomous-ai-engineers-nemoclaw/: Accelerated computing has revolutionized industrial engineering, compressing simulation times from weeks to hours. Today’s remaining challenges sit i... 💼 New Opportunities - Noventra Group Europe: Remote Meta & Google Ads Specialisthttps://weworkremotely.com/remote-jobs/noventra-group-europe-remote-meta-google-ads-specialist - MailerLite: Graphic Designerhttps://weworkremotely.com/remote-jobs/mailerlite-graphic-designer - C4Media Inc.: Fractional Sales Managerhttps://weworkremotely.com/remote-jobs/c4media-inc-fractional-sales-manager - Lemon.io: Senior AI Engineer / Architecthttps://weworkremotely.com/remote-jobs/lemon-io-senior-ai-engineer-architect - Jetbrains: Product Manager for Bonsai Innovation Hubhttps://weworkremotely.com/remote-jobs/jetbrains-product-manager-for-bonsai-innovation-hub - Express Vitamin: Product Marketing Testerhttps://weworkremotely.com/remote-jobs/express-vitamin-product-marketing-tester - Insignia Consultancy Solutions: Devops leadhttps://weworkremotely.com/remote-jobs/insignia-consultancy-solutions-devops-lead - Merchant Innovate: Senior DevOps Engineer Web3https://weworkremotely.com/remote-jobs/merchant-innovate-senior-devops-engineer-web3 - Binance: DevOps Engineer, Futureshttps://weworkremotely.com/remote-jobs/binance-devops-engineer-futures

View Daily Recap

News• Jun 2, 2026

Uber caps employee AI spending after blowing through budget in four months

Uber's cutback has occurred after the company had reportedly encouraged staff to use AI as much as possible.

#News#AI#TechCrunch

News• Jun 2, 2026

New Microsoft tool lets devs spin up AI behavior tests using text descriptions

Microsoft on Tuesday took the wraps off Adaptive Spec-driven Scoring for Evaluation and Regression Testing, an open-source framework for spinning up AI evaluations.

#News#AI#TechCrunch

News• Jun 2, 2026

Martin Scorsese becomes the latest — and most unlikely — Hollywood voice for AI

The caveat is that one of the world's most famous living directors is using the tech solely for storyboarding.

#News#AI#TechCrunch

News• Jun 2, 2026

Google rolls out fake call detection to protect against AI deepfake impersonation scams

As people increasingly refuse to answer calls from unknown numbers, scammers are shifting their tactics by spoofing trusted phone numbers and using AI deepfake technology to sound like authority figures, family members, or employers.

#News#AI#TechCrunch

News• Jun 2, 2026

Microsoft offers devs a better way to control AI agent behavior

The specification lets developer, compliance and security teams define their own policies for agents to follow in portable policy files.

#News#AI#TechCrunch

Tutorials• Jun 2, 2026

How to Use Claude Managed Agents?

If you’ve ever tried to ship an AI agent into production, you know the hard part usually isn’t the model. It’s everything around it: sandboxing, state management, credential handling, tool execution, error recovery, and all the infrastructure that turns a prototype into something reliable. Anthropic...

#Analytics Vidhya#Data Science

News• Jun 2, 2026

Anthropic scales Claude Mythos to critical infrastructure in 15+ countries

Anthropic is expanding Project Glasswing, its security vulnerability program, and access to Mythos to 150 organizations across 15 countries — targeting critical infrastructure in power, water, healthcare, and communications where a cyberattack could affect 100 million people.

#News#AI#TechCrunch

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