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Tutorials• May 29, 2026

Why Gradient Descent Became Stochastic

A step-by-step journey from calculus-based optimization to Stochastic Gradient Descent The post Why Gradient Descent Became Stochastic appeared first on Towards Data Science.

#Towards Data Science#Medium

News• May 29, 2026

Today is the last day to apply to speak at TechCrunch Disrupt 2026

Submit your session topic before today ends for a chance to speak at TechCrunch Disrupt 2026. Apply now to share your insight and help shape the conversations defining the tech industry.

#News#AI#TechCrunch

Engineering• May 29, 2026

From Silos to Service Topology: Why Netflix Built a Real-Time Service Map

By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez & Nathan FisherHow we built a living map of our distributed infrastructure to help engineers understand dependencies, troubleshoot faster, and keep Netflix running smoothly for our members around the world.The Puzzle with a Thousand PiecesPic...

#Netflix#MLOps#Engineering

Tutorials• May 29, 2026

Explaining Lineage in DAX

One of the most important concepts in DAX is lineage. It’s about the information on where something comes from. Let’s see what it is and how we can manipulate it. The post Explaining Lineage in DAX appeared first on Towards Data Science.

#Towards Data Science#Medium

News• May 29, 2026

Kiwibit’s AI-powered bird feeder is my new backyard buddy

If you're looking for a fun way to connect with nature while collecting bird species on an app like Pokémon, give this smart feeder a try.

#News#AI#TechCrunch

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News• May 29, 2026

Check out real-life AI prototypes from the Futures Lab.

University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.

#Google#AI

News• May 29, 2026

Boston Children’s uses AI to unlock new diagnoses

Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.

#GenAI#Textual#OpenAI

News• May 29, 2026

How Braintrust turns customer requests into code with Codex

How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.

#GenAI#Textual#OpenAI

Research• May 29, 2026

One Mask to Rule Them All: On Hidden Facts after Editing and How to Find Them

arXiv:2605.28839v1 Announce Type: new Abstract: Knowledge editing methods such as ROME and MEMIT update factual associations in transformer models by modifying MLP weights. While evaluated mainly by output behavior, their internal mechanism remains underexplored. We investigate whether edits rely o...

#ArXiv#Machine Learning#Academic

Research• May 29, 2026

Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT?

arXiv:2605.28860v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) frequently induces catastrophic forgetting of prior capabilities. Recent work has shown that reinforcement learning (RL) retains prior capabilities more effectively than supervised fine-tuning (SFT), attributin...

#ArXiv#Machine Learning#Academic

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Research• May 29, 2026

Behavior-Induced Mirror-Prox Temporal-Difference Learning for Faster Off-Policy Prediction

arXiv:2605.28849v1 Announce Type: new Abstract: Gradient temporal-difference methods provide stable off-policy prediction with linear function approximation, but their practical performance is strongly affected by the geometry induced by the auxiliary-variable metric. Existing Mirror-Prox TD method...

#ArXiv#Machine Learning#Academic

Research• May 29, 2026

Behavior-Aware Auxiliary Corrections for Off-Policy Temporal-Difference Prediction

arXiv:2605.28855v1 Announce Type: new Abstract: Temporal-difference learning with function approximation can be unstable under off-policy sampling. TDC stabilizes off-policy TD through an auxiliary covariance correction, and TDRC further regularizes this correction in a single-timescale recursion. ...

#ArXiv#Machine Learning#Academic

Research• May 29, 2026

Review Arcade: On the Human Alignment and Gameability of LLM Reviews

arXiv:2605.28897v1 Announce Type: new Abstract: LLM-generated reviews for scientific papers are gaining considerable traction and are even being officially piloted by major conferences. We have to assume that not only reviewers are using LLM-assistance, but also that authors use LLMs to revise thei...

#ArXiv#Machine Learning#Academic

News• May 29, 2026

How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules

In this tutorial, we build a complete Ansible lab that runs end-to-end in Google Colab or any Linux environment. We start by installing ansible-core, setting up a local workspace, creating an Ansible configuration file, and defining both static and dynamic inventories. We then explore key Ansible co...

#MarkTechPost#AI#News

News• May 29, 2026

Strengthening societal resilience with Rosalind Biodefense

OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.

#GenAI#Textual#OpenAI

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News• May 29, 2026

Glean’s top line crosses $300M as AI budget-cutting becomes its major selling point

The enterprise AI search startup tripled its annual revenue even as tech giants entered the category.

#News#AI#TechCrunch

News• May 29, 2026

M5B Daily Recap: 2026-05-28

Daily AI Recap: May 28, 2026 Welcome to today's curated briefing of the most important AI developments. 🗞️ Top Stories - Anthropic raises $65 Billion, nears $1T valuation ahead of IPOhttps://techcrunch.com/2026/05/28/anthropic-raises-65-billion-nears-1t-valuation-ahead-of-ipo/: Anthropic has closed a $65 billion Series H round at a $965 billion post-money valuation, marking what could be the AI startup's final private fundraise before a highly anticipated IPO.... - Just like gold and oil, we’ll soon be able to trade AI token futureshttps://techcrunch.com/2026/05/28/just-like-gold-and-oil-well-soon-be-able-to-trade-ai-token-futures/: Large exchanges are designing derivative products around AI tokens, which are increasingly being considered less a computational output and more a raw material input, like electricity or bandwidth.... - In just 3 weeks, StrictlyVC is coming to Los Angeleshttps://techcrunch.com/2026/05/28/in-just-3-weeks-strictlyvc-is-coming-to-los-angeles/: StrictlyVC Los Angeles is on June 18. Join for meaningful networking and fireside chats with leaders from Mach Industries, Shinkei Systems, and more. Register here.... - How long is Anthropic’s lease with SpaceX? Opinions vary.https://techcrunch.com/2026/05/28/how-long-is-anthropics-lease-with-spacex-opinions-vary/: Elon Musk is publicly reframing xAI’s massive Anthropic compute deal as short-term and cancellable, despite SpaceX’s own S-1 filing describing payments through May 2029.... - The Myth of the Perfect Human — And Why AI’s Critics Keep Comparing It to a Fantasyhttps://aiquantumintelligence.com/the-myth-of-the-perfect-human-and-why-ais-critics-keep-comparing-it-to-a-fantasy: This op-ed challenges the flawed comparisons used to resist AI, exposing human bias, mythologized expertise, and why AI often sees what people overlook.... - Catch up on 12 major I/O 2026 momentshttps://blog.google/innovation-and-ai/technology/ai/io-2026-keynote-moment-videos/: The colorful I/O logo against a black background, surrounded by stills from the I/O keynote... - Sneak peek at new Siri app reveals Apple’s plans to take on ChatGPT and morehttps://techcrunch.com/2026/05/28/sneak-peek-at-new-siri-app-reveals-apples-plans-to-take-on-chatgpt-and-more/: New renders offer a closer look at Apple’s planned AI overhaul for iOS 27, including a redesigned Siri experience powered and standalone Siri app.... - RSI is the new AGI — and it’s just as hard to pin downhttps://techcrunch.com/2026/05/28/rsi-is-the-new-agi-and-its-just-as-hard-to-pin-down/: A new crop of AI labs are focused on recursive self-improvement — but the goal is proving elusive.... - 2 days left: Lock in ticket savings of up to $410 to TechCrunch Disrupt 2026https://techcrunch.com/2026/05/28/2-days-left-lock-in-ticket-savings-of-up-to-410-to-techcrunch-disrupt-2026/: Savings of up to $410 on TechCrunch Disrupt 2026 tickets end tomorrow, May 29, 11:59 p.m. PT. Register now to save and join 10,000+ tech leaders on October 13-15 in San Francisco.... - Why AI Still Can’t Solve Your Real Mathematical Optimization Problemhttps://towardsdatascience.com/why-ai-still-cant-solve-your-real-mathematical-optimization-problem-and-what-orpilot-does-differently/: And what ORPilot does differently The post Why AI Still Can’t Solve Your Real Mathematical Optimization Problem appeared first on Towards Data Science.... - Has the hunt for AI compute uncovered the next Cerebras?https://techcrunch.com/2026/05/28/has-the-hunt-for-ai-compute-uncovered-the-next-cerebras/: General Compute is betting SambaNova will be the next breakout chipmaker.... - 7 Real World AI Projects to Build in 2026 with Guideshttps://www.kdnuggets.com/7-real-world-ai-projects-to-build-in-2026-with-guides: Explore seven practical AI projects that automate real workflows, including job search, web research, investment research, market trend analysis, invoice processing, chart digitization, and personaliz... - The AI Hype Index: AI gets booed in graduation seasonhttps://www.technologyreview.com/2026/05/28/1138053/the-ai-hype-index-ai-gets-booed-in-graduation-season/: It is one thing to say AI will change the world. It is another to expect the class of 2026 to applaud it. In fact, when former Google CEO Eric Schmidt told University of Arizona graduates that their t... - Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Cratehttps://www.marktechpost.com/2026/05/28/perplexity-ai-open-sources-unigram-tokenizer-that-achieves-5x-lower-p50-latency-than-hugging-face-tokenizers-crate/: Perplexity AI open-sources a rewritten Unigram tokenizer that reduces reranker latency and cuts production CPU utilization by 5-6x. The post Perplexity AI Open-Sources Unigram Tokenizer That Achieves ... - A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search Systemhttps://www.marktechpost.com/2026/05/28/a-coding-guide-to-implement-a-pgvector-powered-semantic-hybrid-sparse-and-quantized-vector-search-system/: In this tutorial, we build a complete pgvector playground inside Google Colab and explore how PostgreSQL can work as a powerful vector database for modern AI applications. We start by installing Postg... - Why LLMs Fail at Causal Discovery and How Interventional Agents Escapehttps://arxiv.org/abs/2605.27567: arXiv:2605.27567v1 Announce Type: new Abstract: Causal discovery is a cornerstone of scientific reasoning, yet whether large language models can perform it reliably remains an open question. Recent b... - On the Origin of Synthetic Information by Means of Steganographic Inheritancehttps://arxiv.org/abs/2605.27551: arXiv:2605.27551v1 Announce Type: new Abstract: The origin of species has been the mystery of mysteries in natural science. By analogy, the origin of synthetic information, we suggest, is the mystery... - Why Google’s AI can’t spell Google or anything elsehttps://techcrunch.com/2026/05/27/why-googles-ai-cant-spell-google-or-anything-else/: Google is embarrassing itself, again.... - Leveling up Weaviate Cloud security: Expanding role-based access control for Cloud consolehttps://weaviate.io/blog/rbac-overview: Weaviate Cloud now supports more granular role-based access control with new Editor and Viewer roles for improved security and organizational management.... - IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2026https://machinelearning.apple.com/updates/apple-at-cvpr-2026: Apple is presenting new research at the annual IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR, which takes place in person in Denver at the Colorado Convention Center from June ... 🛠️ Featured Tools - Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Moduleshttps://www.marktechpost.com/2026/05/27/sakana-ai-proposes-diffusionblocks-a-block-wise-training-framework-that-converts-residual-networks-into-independently-trainable-denoising-modules/: DiffusionBlocks converts residual networks into independently trainable blocks by interpreting layer updates as reverse diffusion denoising steps. The... - Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecturehttps://arxiv.org/abs/2605.27373: arXiv:2605.27373v1 Announce Type: new Abstract: As intelligent systems become more autonomous, the scientific community focuses on creating decision-... - Soro: A Lightweight Foundation Model and Chatbot for Tajikhttps://arxiv.org/abs/2605.27379: arXiv:2605.27379v1 Announce Type: new Abstract: We present Soro, a family of Tajik-specialized conversational large language models LLMs designed f... - DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agentshttps://arxiv.org/abs/2605.27566: arXiv:2605.27566v1 Announce Type: new Abstract: Progress in neural combinatorial optimization for Dynamic Flexible Job Shop Scheduling Problem DFJSP... - Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneityhttps://arxiv.org/abs/2605.27385: arXiv:2605.27385v1 Announce Type: new Abstract: Federated reinforcement learning FedRL enables multiple agents to collaboratively train a global po... - IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentationhttps://arxiv.org/abs/2605.27397: arXiv:2605.27397v1 Announce Type: new Abstract: In wireless sensor networks WSNs, data augmentation is a novel method to improve sampling-frequency... - A Simple State Space Model Excels at Multivariate Time Series Classificationhttps://arxiv.org/abs/2605.27406: arXiv:2605.27406v1 Announce Type: new Abstract: Structured state space models SSMs have recently emerged as a promising foundation for sequence mod... - $E^3$-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inferencehttps://arxiv.org/abs/2605.27428: arXiv:2605.27428v1 Announce Type: new Abstract: Edge deployments of generative inference increasingly face two practical realities: per-device per-mo... - Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Surveyhttps://arxiv.org/abs/2605.27431: arXiv:2605.27431v1 Announce Type: new Abstract: Mixture-of-Experts MoE presents a naturally compatible and scalable framework for multimodal learni... - Vertu wants CEOs to run companies from an AI foldable starting at $6,880https://techcrunch.com/2026/05/28/vertu-wants-ceos-to-run-companies-from-an-ai-foldable-starting-at-6880/: Built on top of the open-source Hermes project, Vertu's new foldable combines AI-agent workflows, enterprise integrations, and ultra-premium luxury fi... - Your AI Agent Already Forgot Half of What You Told Ithttps://www.oreilly.com/radar/your-ai-agent-already-forgot-half-of-what-you-told-it/: This is the seventh article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, part fou... - Building a Context Pruning Pipeline for Long-Running Agentshttps://machinelearningmastery.com/building-a-context-pruning-pipeline-for-long-running-agents/: Modern AI agents built on top of large language models LLMs are designed to run continuously.... - DiffuJudge-AV: A Diffusion-Inspired Framework for Calibrated AV Video Evaluationhttps://towardsdatascience.com/diffujudge-av-a-diffusion-inspired-framework-for-calibrated-av-video-evaluation/: A diffusion-inspired framework for stress-testing and denoising LLM-as-a-Judge pipelines, applied to safety-critical driving video. The post DiffuJudg... - NVIDIA Research Advances Robotics From Simulation to the Real Worldhttps://blogs.nvidia.com/blog/icra-research-robotics-simulation-to-real-world/: Robotics is entering a new phase: moving from controlled demos and scripted automation toward generalizable, reliable embodied autonomy in the real wo... - The Name’s Gaming … Cloud Gaming: ‘007 First Light’ Launches on GeForce NOWhttps://blogs.nvidia.com/blog/geforce-now-thursday-007-first-light-launch/: License to stream, shaken and stirred. GeForce NOW is dialing up the espionage with the launch of 007 First Light, letting members slip into James Bon... - Visa invests in Replit to power agentic payments for developershttps://techcrunch.com/2026/05/28/visa-invests-in-replit-to-power-agentic-payments-for-developers/: Visa said that over 1,000 employees has been using Replit for prototyping and development... - Tweaking Local Language Model Settings with Ollamahttps://www.kdnuggets.com/tweaking-local-language-model-settings-with-ollama: In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.... - YouTube adds new podcast features, including an AI recommendation tool and ‘Auto speed’https://techcrunch.com/2026/05/28/youtube-adds-new-podcast-features-including-an-ai-recommendation-tool-and-auto-speed/: The update signals YouTube's ongoing efforts to compete with other platforms for podcast audiences.... - The AI-first GTM strategist: agents, workflows, and knowing when to stophttps://www.aiacceleratorinstitute.com/the-ai-first-gtm-strategist-agents-workflows-and-knowing-when-to-stop/: Most GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?... - The Infrastructure Behind Making Local LLM Agents Actually Usefulhttps://towardsdatascience.com/the-infrastructure-behind-making-local-llm-agents-actually-useful/: Lessons from building a fast, reliable scientific agent with local open-weight models, vLLM, and long-context infrastructure The post The Infrastructu... - Sesame, the conversational AI startup from Oculus founders, launches its iOS apphttps://techcrunch.com/2026/05/28/sesame-the-conversational-ai-startup-from-oculus-founders-launches-its-ios-app/: Sesame’s new iOS app brings its conversational AI agents to the public, offering more natural back-and-forth interactions designed to feel less like t... - Data Formulator 0.7: AI-powered data analytics for enterprise datahttps://www.microsoft.com/en-us/research/blog/data-formulator-0-7-ai-powered-data-analytics-for-enterprise-data/: Data Formulator introduces AI-powered analytics for enterprise data workflows. Data teams can easily bring enterprise data into an AI-ready workspace ... - Media Advisory: MIT to establish regional quantum hubhttps://news.mit.edu/2026/media-advisory-mit-establish-regional-quantum-hub: With $25 million investment from the Commonwealth of Massachusetts, MIT to build a new shared-use facility to serve as a statewide quantum toolbox.... - OpenAI’s Frontier Governance Frameworkhttps://openai.com/index/openai-frontier-governance-framework: Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations.... - EmoNet: Speaker-Aware Transformers for Emotion Recognition — and What I’d Build Differently in 2026https://towardsdatascience.com/emonet-speaker-aware-transformers-for-emotion-recognition-and-what-id-build-differently-in-2026/: A retrospective on my MS thesis, the leaderboard it placed on, and the LLM shift that has reshaped the field since. The post EmoNet: Speaker-Aware Tra... - Anthropic releases Opus 4.8 with new ‘dynamic workflow’ toolhttps://techcrunch.com/2026/05/28/anthropic-releases-opus-4-8-with-new-dynamic-workflow-tool/: The new Opus model comes with a tool called Dynamic Workflows, for coordinating swarms of subagents.... - Asana acquires no-code agent-builder Stack AIhttps://techcrunch.com/2026/05/28/asana-acquires-no-code-agent-builder-stack-ai/: Asana will incorporate Stack AI into its growing suite of AI workflow tools.... - The internet is being rebuilt for machineshttps://techcrunch.com/2026/05/28/the-internet-is-being-rebuilt-for-machines/: As AI agents move from experiments to production, AWS, Cloudflare, and others are redesigning cloud infrastructure for a future dominated by machine-g... - Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagentshttps://www.marktechpost.com/2026/05/28/anthropic-ships-claude-opus-4-8-alongside-dynamic-workflows-and-cheaper-fast-mode-with-workflows-capped-at-1000-subagents/: Anthropic's Claude Opus 4.8 brings dynamic workflows and cheaper fast mode to Claude Code, now in research preview The post Anthropic Ships Claude Opu... - How Endava builds an agentic organization with Codexhttps://openai.com/index/endava: Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.... - Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parametershttps://www.marktechpost.com/2026/05/28/liquid-ai-releases-lfm2-5-8b-a1b-an-on-device-moe-model-with-8-3b-total-and-1-5b-active-parameters/: Liquid AI's LFM2.5-8B-A1B activates 1.5B of 8.3B parameters, offering 128K context, reasoning, and tool calling on consumer hardware. The post Liquid ... 🎁 Exclusive Offers - At TechCrunch Disrupt 2026: Databricks’ co-founder on what kills enterprise AI dealshttps://techcrunch.com/2026/05/28/techcrunch-disrupt-2026-databricks-co-founder-on-what-kills-enterprise-ai-deals/ 💼 New Opportunities - Ignition, Inc.: Mac MSP Help Desk Guru work from homehttps://weworkremotely.com/remote-jobs/ignition-inc-mac-msp-help-desk-guru-work-from-home - Korial: Technical Support Analyst - Operations m/f/dhttps://weworkremotely.com/remote-jobs/korial-technical-support-analyst-operations-m-f-d - EngagedMD: Senior Software Engineerhttps://weworkremotely.com/remote-jobs/engagedmd-senior-software-engineer - Stone & Tile: Administrative Assistanthttps://weworkremotely.com/remote-jobs/stone-tile-administrative-assistant - Linkage Web Development: Active Pooling Lead Generation Specialist - Virtual Assistanthttps://weworkremotely.com/remote-jobs/linkage-web-development-active-pooling-lead-generation-specialist-virtual-assistant - Community Sports Partners: Web Developerhttps://weworkremotely.com/remote-jobs/community-sports-partners-web-developer - Swanson Health: Shopify Developerhttps://weworkremotely.com/remote-jobs/swanson-health-shopify-developer - thehivecareers.co: Web Developer Remotehttps://weworkremotely.com/remote-jobs/thehivecareers-co-web-developer-remote - Akamai: Senior DevOps Engineer IIhttps://weworkremotely.com/remote-jobs/akamai-senior-devops-engineer-ii - Brivia: Estágio de Atendimento Publicitáriohttps://weworkremotely.com/remote-jobs/brivia-estagio-de-atendimento-publicitario - Brivia: Assistente de Atendimento Publicitáriohttps://weworkremotely.com/remote-jobs/brivia-assistente-de-atendimento-publicitario - Involves: Data Quality Analyst Ihttps://weworkremotely.com/remote-jobs/involves-data-quality-analyst-i - idwall: Senior Analytics Engineerhttps://weworkremotely.com/remote-jobs/idwall-senior-analytics-engineer - Cardinal Health: Sr. Analyst, Process Analyticshttps://weworkremotely.com/remote-jobs/cardinal-health-sr-analyst-process-analytics

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News• May 29, 2026

M5B Daily Perspective (Technical Deep Dive): Unveiling the Hidden Layers of AI Architecture

The recent influx of investments in the AI sector, exemplified by Anthropic's staggering $65 billion Series H round, has catapulted the industry into uncharted territory. As the valuation of Anthropic nears $1 trillion, it is evident that the technical architecture and engineering challenges of AI development have become the focal points of discussion among industry experts. The intricate dance between innovative solutions and the complexities of AI integration has given rise to a new wave of technological advancements, transforming the very fabric of the digital landscape. As large exchanges begin to design derivative products around AI tokens, the lines between traditional commodities and digital assets start to blur. The notion that AI tokens can be traded like gold and oil is a testament to the growing recognition of AI as a vital component of modern commerce. However, this newfound acceptance also underscores the need for a deeper understanding of the technical underpinnings of AI systems. The ability to trade AI token futures will undoubtedly introduce new layers of complexity, necessitating the development of more sophisticated risk management strategies and regulatory frameworks. The forthcoming StrictlyVC Los Angeles event, scheduled for June 18, promises to provide a platform for meaningful networking and fireside chats with industry leaders, offering valuable insights into the technical challenges and opportunities that lie ahead. As the AI ecosystem continues to evolve, events like these will play a crucial role in facilitating the exchange of ideas and expertise, ultimately driving innovation and growth. Moreover, the recent op-ed challenging the flawed comparisons used to resist AI adoption highlights the need for a more nuanced understanding of the technology and its limitations. By acknowledging the biases and myths surrounding AI, we can work towards a more informed and rational discourse, one that recognizes both the potential benefits and the inherent challenges of AI development. The announcement of Apple's plans to overhaul its Siri app, with a redesigned interface and enhanced AI capabilities, serves as a prime example of the industry's relentless pursuit of innovation. As Apple seeks to take on ChatGPT and other AI-powered chatbots, the company will need to navigate the intricate technical landscape of natural language processing and machine learning. The introduction of new AI-driven features will undoubtedly raise questions about data privacy, security, and the potential risks associated with increased reliance on AI. Furthermore, the development of recursive self-improvement RSI AI labs, focused on creating autonomous systems that can improve themselves without human intervention, poses significant technical challenges. The goal of achieving RSI is proving elusive, as researchers grapple with the complexities of creating systems that can adapt, learn, and evolve without human oversight. The news that Perplexity AI has open-sourced its rewritten Unigram tokenizer, which achieves 5x lower p50 latency than Hugging Face tokenizers, demonstrates the ongoing efforts to optimize AI performance and efficiency. This breakthrough has significant implications for the development of more responsive and effective AI systems, particularly in applications where real-time processing is critical. Moreover, the release of Liquid AI's LFM2.5-8B-A1B, an on-device MoE model with 8.3B total and 1.5B active parameters, highlights the growing importance of edge AI and the need for more efficient, lightweight models that can operate effectively in resource-constrained environments. As the internet is being rebuilt for machines, with a growing emphasis on machine-to-machine communication, the development of more sophisticated AI models and architectures will play a vital role in shaping the future of the digital landscape. The acquisition of no-code agent-builder Stack AI by Asana underscores the increasing recognition of the need for more accessible and user-friendly AI development tools. As the demand for AI-powered solutions continues to grow, the ability to create and deploy AI models without extensive coding expertise will become increasingly important. The release of Anthropic's Opus 4.8, alongside dynamic workflows and cheaper fast mode, demonstrates the company's commitment to providing more flexible and affordable AI solutions. However, the capping of workflows at 1,000 subagents raises questions about the scalability and limitations of these systems, highlighting the ongoing technical challenges that must be addressed in order to fully realize the potential of AI. In conclusion, the technical architecture and engineering challenges of AI development are complex and multifaceted, requiring a deep understanding of the underlying technologies and their limitations. As the industry continues to evolve, it is essential that we prioritize innovation, collaboration, and knowledge sharing, working together to overcome the technical hurdles that stand in the way of AI adoption and deployment. By doing so, we can unlock the full potential of AI, driving growth, innovation, and transformation across a wide range of industries and applications.

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Engineering• May 29, 2026

Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler

#HuggingFace#OpenSource#Models

News• May 28, 2026

Anthropic raises $65 Billion, nears $1T valuation ahead of IPO

Anthropic has closed a $65 billion Series H round at a $965 billion post-money valuation, marking what could be the AI startup's final private fundraise before a highly anticipated IPO.

#News#AI#TechCrunch

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News• May 28, 2026

Just like gold and oil, we’ll soon be able to trade AI token futures

Large exchanges are designing derivative products around AI tokens, which are increasingly being considered less a computational output and more a raw material input, like electricity or bandwidth.

#News#AI#TechCrunch

News• May 28, 2026

In just 3 weeks, StrictlyVC is coming to Los Angeles

StrictlyVC Los Angeles is on June 18. Join for meaningful networking and fireside chats with leaders from Mach Industries, Shinkei Systems, and more. Register here.

#News#AI#TechCrunch

News• May 28, 2026

How long is Anthropic’s lease with SpaceX? Opinions vary.

Elon Musk is publicly reframing xAI’s massive Anthropic compute deal as short-term and cancellable, despite SpaceX’s own S-1 filing describing payments through May 2029.

#News#AI#TechCrunch

News• May 28, 2026

The Myth of the Perfect Human — And Why AI’s Critics Keep Comparing It to a Fantasy

This op-ed challenges the flawed comparisons used to resist AI, exposing human bias, mythologized expertise, and why AI often sees what people overlook.

#AI Quantum Intelligence#AI#News

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