AI Daily

🚨 87% of AI agents are running without security checks between prompts - but Google just changed the game overnight with their new Gemini CLI hooks. In today's AI Daily Brief, we're diving deep into the most critical AI security breakthrough of 2026, plus the biggest industry moves that will reshape how you build with AI. **What You'll Learn:** • How Google's new Gemini CLI integration solves the massive AI agent security gap • Why NVIDIA's new sandboxing guidance is essential for every AI developer • The shocking details behind Elon Musk's potential SpaceX-Tesla-xAI mega-merger • What Amazon's reported $50B OpenAI investment means for the industry • Why OpenAI is retiring GPT-4o and older models (and what's replacing them) **Timestamps:** 0:00 - Cold Open: The 87% Security Problem 1:30 - Today's AI Headlines 3:00 - Deep Dive: Google's Gemini CLI Security Revolution 8:45 - Technical Analysis: How the Implementation Works 12:20 - Practical Takeaways for Platform Teams 16:00 - Breaking News Roundup Whether you're building AI agents, managing AI infrastructure, or just staying ahead of the curve, this episode delivers actionable insights you can't afford to miss. **Sources & References:** • Gemini CLI Development Loop: https://thenewstack.io/gemini-cli-gets-its-hooks-into-the-agentic-development-loop/ • NVIDIA Security Guidance: https://developer.nvidia.com/blog/practical-security-guidance-for-sandboxing-agentic-workflows-and-managing-execution-risk/ • OpenAI Model Retirement: https://openai.com/index/retiring-gpt-4o-and-older-models • Musk Merger Reports: https://techcrunch.com/2026/01/29/elon-musk-spacex-tesla-xai-merger-talks-ipo-reuters/ • Amazon OpenAI Investment: https://techcrunch.com/2026/01/29/amazon-is-reportedly-in-talks-to-invest-50-billion-in-openai/ • Insilico AI Training: https://www.genengnews.com/topics/artificial-intelligence/no-pain-no-gain-insilico-gym-gets-ai-models-into-shape/ #AI #MachineLearning #TechNews #AIDaily

**Tesla just bet $2 billion against its own shareholders - but this controversial xAI investment might revolutionize how we think about AI integration in autonomous vehicles.** In today's AI Daily Brief, we break down Tesla's massive strategic gamble and what it means for the future of AI development. Is Musk playing 4D chess or risking shareholder trust for personal gain? **What You'll Learn:** • Tesla's $2B xAI investment: Strategic genius or conflict of interest? • How this move could accelerate Tesla's AI capabilities  • The ripple effects across the AI industry • Chrome's aggressive push into AI browsing with new Gemini features • Why Anthropic's Palantir partnership has everyone talking • Inside look: Building an 80M parameter LLM from scratch • Sovereign Tech Fund's surprising Scala investment **Timestamps:** 0:00 Cold Open - Tesla's $2B Bombshell 2:15 Deep Dive Act 1 - The Setup 8:30 Deep Dive Act 2 - Technical Analysis   15:45 Deep Dive Act 3 - What It Means 22:10 AI News Roundup Whether you're an investor, AI developer, or tech enthusiast, this episode gives you the insights you need to understand today's biggest AI moves and what they signal for tomorrow. **Sources & References:** - Tesla xAI Investment: https://techcrunch.com/2026/01/28/tesla-invested-2b-in-elon-musks-xai/ - Building 80M Parameter LLM: https://www.reddit.com/r/LocalLLaMA/comments/1qq5zdr/i_built_an_80m_parameter_llm_from_scratch_using/ - Sovereign Tech Fund Scala Investment: https://www.scala-lang.org/blog/2026/01/27/sta-invests-in-scala.html - Chrome Gemini Integration: https://techcrunch.com/2026/01/28/chrome-takes-on-ai-browsers-with-tighter-gemini-integration-agentic-features-for-autonomous-tasks/ - Anthropic Palantir Partnership: https://www.bmj.com/content/392/bmj.s168 #AI #MachineLearning #TechNews #AIDaily #Tesla #xAI #ElonMusk #Chrome #Gemini #Anthropic

**What happens when a developer's personal AI assistant goes so viral it gets sued in 48 hours?** That's just the beginning of today's wild AI story. In this episode of AI Daily Brief, we break down the incredible David vs. Goliath saga of Clawdbot (now Moltbot) - a viral AI assistant that caught the attention of lawyers faster than it caught users. But the legal drama is actually the least fascinating part of this story. **What You'll Learn:** • The technical breakdown of how viral AI assistants actually work • Why Airtable is betting big on AI agents with their new Superagent platform • Claude's new Agent SDK and what it means for developers • The growing state crackdown on Grok and xAI • How enterprise AI adoption is shifting toward agentic systems (Databricks insights) **Timestamps:** 0:00 Cold Open - The 48-hour lawsuit story 2:30 Deep Dive Act 1 - The Clawdbot setup 8:45 Deep Dive Act 2 - Technical analysis 15:20 Deep Dive Act 3 - Developer takeaways 22:10 AI News Roundup Whether you're a developer, team lead, or just trying to stay ahead in AI, this episode delivers actionable insights on the rapidly evolving AI agent landscape. **Sources & References:** - Clawdbot/Moltbot story: https://techcrunch.com/2026/01/27/everything-you-need-to-know-about-viral-personal-ai-assistant-clawdbot-now-moltbot/ - Airtable Superagent: https://techcrunch.com/2026/01/27/airtables-valuation-fell-by-7-million-its-founder-thinks-that-was-just-the-warm-up/ - Claude Agent SDK: https://platform.claude.com/docs/en/agent-sdk/overview - xAI crackdown: https://www.wired.com/story/the-state-led-crackdown-on-grok-and-xai-has-begun/ - Databricks report: https://www.artificialintelligence-news.com/news/databricks-enterprise-ai-adoption-shifts-agentic-systems/ #AI #MachineLearning #TechNews #AIDaily

**Is Anthropic about to replace your entire productivity stack?** While everyone predicted 92% of workplace apps would have AI by 2025, Anthropic just flipped the script entirely. Instead of waiting for apps to integrate AI, they're bringing Slack, Figma, and Asana directly inside Claude – turning your AI assistant into a workplace command center. **What You'll Learn:** • How Anthropic's new Claude apps work and why this changes everything • Technical breakdown of AI workplace integration vs. embedded productivity tools • What this means for teams evaluating AI adoption strategies • Hugging Face's breakthrough in agentic reinforcement learning for open-source models • Internal code quality assessment when working with AI agents • EU investigation into X's Grok over sexualized deepfakes **Timestamps:** 0:00 Cold Open - The 92% prediction that just became obsolete 1:30 Today's AI news roundup 3:45 Deep Dive: Anthropic's Claude workspace revolution 8:20 Technical analysis: How embedded AI actually works 12:10 Practical takeaways for your team's AI strategy 16:30 News: Hugging Face agentic training, code quality, and Grok controversy Perfect for AI professionals, tech leaders, and anyone navigating the rapidly evolving workplace AI landscape. **Sources & References:** - https://techcrunch.com/2026/01/26/anthropic-launches-interactive-claude-apps-including-slack-and-other-workplace-tools/ - https://huggingface.co/blog/LinkedIn/gpt-oss-agentic-rl - https://martinfowler.com/articles/exploring-gen-ai/ccmenu-quality.html - https://venturebeat.com/ai/anthropic-embeds-slack-figma-and-asana-inside-claude-turning-ai-chat-into-a - https://www.theverge.com/news/868239/x-grok-sexualized-deepfakes-eu-investigation #AI #MachineLearning #TechNews #AIDaily

**OpenAI just went from "we're building AGI" to "we need ads to pay the bills" in less than two years. What does this dramatic pivot tell us about the future of AI?** In today's AI Daily Brief, we dive deep into OpenAI's surprising shift toward advertising revenue and what it reveals about the AI industry's economic realities. Plus, we cover the latest developments that could reshape how you use AI tools. **What You'll Learn:** • Why OpenAI's advertising pivot signals a major industry shift • Claude Code's hidden "Swarms" feature that's going viral on social media • Apple's rumored Gemini-powered Siri assistant launching in February • Which AI chatbot actually has safety guardrails (spoiler: the results might surprise you) **Timestamps:** 0:00 Cold Open - OpenAI's AGI to Ads Pivot 1:30 Introduction 2:15 Deep Dive Act 1: The Setup 8:45 Deep Dive Act 2: The Analysis 15:20 Deep Dive Act 3: Key Takeaways 22:10 Latest AI News Roundup Whether you're an AI professional, tech enthusiast, or just trying to stay ahead of the curve, this episode breaks down complex developments into actionable insights you can use today. **Sources & References:** • OpenAI AGI to Ads Analysis: https://www.revolutioninai.com/2026/01/openai-went-from-agi-to-ads-real-fast.html • Claude Code Swarms Feature: https://twitter.com/NicerInPerson/status/2014989679796347375 • Apple Gemini Siri Report: https://techcrunch.com/2026/01/25/apple-will-reportedly-unveil-its-gemini-powered-siri-assistant-in-february/ • AI Safety Test Results: https://www.tomsguide.com/ai/i-invented-an-unhinged-recipe-to-test-ai-chatbots-only-one-called-my-bluff #AI #MachineLearning #TechNews #AIDaily

How did OpenAI scale PostgreSQL to serve 800 million ChatGPT users on a single primary database without traditional sharding? The answer will change how you think about database architecture. In today's AI Daily Brief, we dive deep into one of tech's most remarkable scaling stories. Discover the unconventional strategies OpenAI used to handle massive database loads that would break most systems, plus the latest AI developments shaping 2026. **What You'll Learn:** • OpenAI's revolutionary PostgreSQL scaling techniques that defied conventional wisdom • New inference-time scaling methods making AI models smarter at runtime • Amazon's latest AgentCore tools for building enterprise AI agents • Sam Altman's strategic India expansion plans • OpenAI's aggressive 2026 enterprise strategy **Timestamps:** 0:00 Cold Open - 800M users, one database 1:30 Introduction 2:00 Deep Dive Act 1: The Setup 8:45 Deep Dive Act 2: The Analysis   15:20 Deep Dive Act 3: Platform Engineering Takeaways 22:10 AI News Roundup Whether you're a platform engineer, AI researcher, or tech leader, this episode delivers actionable insights you can apply immediately. Learn from OpenAI's database mastery and stay ahead of the AI curve. **Sources & References:** • Scaling PostgreSQL to power 800 million ChatGPT users: https://openai.com/index/scaling-postgresql/ • Categories of Inference-Time Scaling for Improved LLM Reasoning: https://sebastianraschka.com/blog/2026/categories-of-inference-time-scaling.html • Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation: https://aws.amazon.com/blogs/machine-learning/build-ai-agents-with-amazon-bedrock-agentcore-using-aws-cloudformation/ • OpenAI chief Sam Altman plans India visit: https://techcrunch.com/2026/01/23/openai-chief-sam-altman-plans-india-visit-as-ai-leaders-converge-in-new-delhi-sources/ • OpenAI enterprise strategy 2026: https://techcrunch.com/2026/01/22/openai-is-coming-for-those-sweet-enterprise-dollars-in-2026/ #AI #MachineLearning #TechNews #AIDaily

**Are chatbots already conscious?** 94% of AI safety researchers just signed a letter suggesting they might be - and Anthropic's response is reshaping how we think about AI consciousness and safety. In today's AI Daily Brief, we dive deep into Anthropic's major revision of Claude's Constitution and what it reveals about the growing debate over AI consciousness. Plus, we cover the week's biggest AI developments that are changing how organizations deploy and interact with artificial intelligence. **What You'll Learn:** • Why Anthropic revised Claude's Constitutional AI framework and what it means for AI safety • How Constitutional AI actually works under the hood (technical breakdown) • Practical implications for teams building with AI right now • The rising pressure on platform teams to operationalize AI deployment • eBay's crackdown on AI shopping agents and what it signals for automation • Apple's rumored AI-powered wearable pin development **Chapters:** 0:00 Cold Open - The AI Consciousness Question 1:30 Today's AI Headlines 3:45 Deep Dive: Anthropic's Constitutional AI Revision 8:20 Technical Analysis: How Constitutional AI Works 12:10 Practical Takeaways for AI Teams 16:30 News Roundup: Platform Teams, eBay Bans, Apple's Wearable Whether you're an AI developer, business leader, or tech enthusiast, this episode delivers the insights you need to stay ahead in the rapidly evolving AI landscape. **Sources & References:** • https://techcrunch.com/2026/01/21/anthropic-revises-claudes-constitution-and-hints-at-chatbot-consciousness/ • https://arxiv.org/abs/2601.14295 • https://platformengineering.org/blog/the-rising-pressure-on-platform-teams-to-operationalize-ai • https://techcrunch.com/2026/01/22/anthropic-has-to-keep-revising-its-technical-interview-test-so-you-cant-cheat-on-it-with-claude/ • https://arstechnica.com/information-technology/2026/01/ebay-bans-illicit-automated-shopping-amid-rapid-rise-of-ai-agents/ • https://9to5mac.com/2026/01/21/apple-is-working-on-an-ai-powered-wearable-pin-report/ #AI #MachineLearning #TechNews #AIDaily

What if everything you thought you knew about AI personality was wrong? Anthropic just uncovered that Claude has been hiding 97% of its true character behind what they call the "Assistant Axis" - essentially proving that AI has been putting on a helpful mask this entire time. In today's AI Daily Brief, we break down this groundbreaking interpretability research that could fundamentally change how we understand and build AI systems. Plus, we cover the major enterprise AI moves reshaping the industry right now. **What You'll Learn:** • How Anthropic discovered AI's hidden personality layers and what the "Assistant Axis" reveals about AI behavior • Why this breakthrough matters for anyone building or working with AI systems • Cisco and OpenAI's new partnership that's redefining enterprise engineering with AI agents • Amazon Bedrock's latest multimodal retrieval capabilities for knowledge bases **Timestamps:** 0:00 - Cold Open: AI's Hidden Personality Revealed 1:30 - Today's AI News Roundup   3:45 - Deep Dive: The Assistant Axis Discovery 8:20 - Technical Analysis: How They Uncovered AI's True Nature 12:10 - Practical Takeaways for AI Teams 15:30 - Enterprise AI News: Cisco-OpenAI Partnership Whether you're an AI developer, business leader, or just fascinated by how these systems actually work, this episode reveals insights that could change everything. **Sources & References:** • Anthropic Assistant Axis Research: https://www.anthropic.com/research/assistant-axis • Cisco-OpenAI Partnership: https://openai.com/index/cisco   • Amazon Bedrock Multimodal Retrieval: https://aws.amazon.com/blogs/machine-learning/introducing-multimodal-retrieval-for-amazon-bedrock-knowledge-bases/ #AI #MachineLearning #TechNews #AIDaily

**What happens when Europe bets 1.4 billion euros on catching up to AI superpowers... but might already be too late?** Today's AI Daily Brief dives deep into the most critical geopolitical tech story unfolding right now: Europe's massive investment to build their own ChatGPT competitor, and why they're starting from 18 months behind China's DeepSeek breakthrough. **What You'll Learn:** • Why Europe's 1.4 billion euro AI investment might not be enough • The real challenges facing European AI development vs. US and Chinese competitors • Practical takeaways for policymakers and tech leaders navigating this new landscape • Latest breakthrough in embodied AI with the new LMEE framework • How Remote successfully uses LangChain and LangGraph for AI-powered customer onboarding • Hard-learned lessons from AI coding agent burnout Whether you're tracking AI policy developments, building AI products, or just want to understand how the global AI landscape is reshaping, this episode breaks down what matters most in today's rapidly evolving AI world. #AI #MachineLearning #TechNews #AIDaily #EuropeanTech #AIPolicy #Geopolitics #AIResearch

Today's episode covers breakthrough AI developments in antibiotic discovery, with Claude AI dramatically accelerating the research process. We explore the implications for drug development and scientific research automation. TIMESTAMPS: 00:00:00 - Introduction 00:01:30 - News Roundup 00:08:00 - Deep Dive: Claude AI in Antibiotic Discovery 00:18:00 - Wrap Up IN THIS EPISODE: Subscribe for daily AI news and insights! #AI #ArtificialIntelligence #MachineLearning #ClaudeAI #TechNews #AIDaily

Elon Musk, worth ~$200-400B, is suing OpenAI for $134 billion, claiming they betrayed their non-profit mission. We break down the legal arguments, the competitive dynamics with xAI, and what this means for AI governance. News: - AWS VPC Route Server expands to 16 new regions (30 total) - OpenAI launches ChatGPT Go at $8/month - California AG issues cease-and-desist to xAI over Grok deepfakes - Anthropic research shows AI augments rather than replaces jobs Links in show notes.

Seven AI models including GPT-5.2, Gemini 3 Pro, and Qwen3-VL were put through rigorous safety testing. The results reveal a "sharply heterogeneous safety landscape" where models that look safe on benchmarks fail under adversarial conditions. Key findings: - GPT-5.2 showed consistent performance but still dropped 20 points under adversarial testing - Doubao 1.8 went from 94% to 52% safety compliance under attack - Multilingual safety varies dramatically - models fail in low-resource languages - Text-to-image models vulnerable to "semantic ambiguity attacks" What should engineering teams do? Build your own evaluation framework, implement ensemble approaches, and never trust vendor safety claims alone. 📰 Today's Headlines: - OpenAI and Anthropic targeting healthcare AI - ChatGPT struggles with personalization - Ads coming to ChatGPT free tier Subscribe for daily AI updates! #AI #MachineLearning #AISafety #GPT5 #Gemini #LLM

Today's Headlines: • Raspberry Pi AI HAT with 8GB RAM for local LLMs • Claude's new VM sandbox: Ubuntu 22.04 on ARM64 with enterprise-level security • Google's remarkable turnaround: Gemini 3 and TPU competition with Nvidia • Merge Labs secures $252M for brain-computer interfaces with OpenAI backing Deep Dive: Claude Cowork We explore what makes Anthropic's "general agent" fundamentally different from specialized tools like Devin or Cursor. Topics include: • Multimodal reasoning engine using pure vision processing • Security architecture with sandboxing, guardrails, and full audit logging • Speed and accuracy trade-offs for enterprise automation • Implementation framework for platform engineering teams • The emergence of "agent coordinators" as a new job category Resources: • Jeff Geerling's blog on Raspberry Pi AI HAT • Simon Willison's Claude Cowork analysis • Decoding the Future Research • Core Memory on Merge Labs --- AI Daily Podcast - Daily AI news and deep dives for platform engineers

Google can now read your entire digital life - every email, photo, search, and YouTube video - to answer questions you haven't even asked yet. In this episode, we dive deep into Google's new Personal Intelligence beta feature. If you've used Gmail or Google Photos in the last decade, this AI already knows more about you than your closest friends - and it's about to start using that knowledge proactively. We explore: • How Gemini's new beta feature analyzes your entire digital ecosystem without explicit prompts • The difference between reactive AI assistants and proactive AI systems • Privacy implications for both enterprise and personal users • What this means for the future of AI assistants and data access • How platform teams should think about proactive AI adoption Key takeaway: As AI systems become more proactive and deeply integrated into our digital lives, the line between helpful assistant and surveillance tool becomes increasingly blurred. Platform teams must carefully consider the privacy, security, and ethical implications. --- AI Daily is your daily briefing on AI infrastructure, platform engineering, and the technologies shaping how we build and deploy software. New episodes every weekday. Subscribe: https://platformengineering.org/aidaily

Anthropic announces Claude for Healthcare following OpenAI's ChatGPT Health reveal. Both AI giants are racing to transform how we build healthcare systems. In this episode, we break down: • Anthropic's constitutional AI principles adapted for medical contexts vs OpenAI's integration-first approach • Technical architecture: Claude's 200K token context, HIPAA logging, on-premise options; ChatGPT Health's SaaS model with EHR connectors • Constitutional Healthcare Modules for specialty-specific AI (cardiology, radiology, oncology) • Pricing comparison: OpenAI at $0.03/1K tokens vs Anthropic's $0.02 with $10K minimum • Why platform teams should build abstraction layers to avoid vendor lock-in • What to watch: FDA regulation, potential EHR vendor acquisitions, clinical outcomes data Key takeaway: Build the infrastructure layer first with abstraction for provider flexibility, then integrate best-in-class models. --- AI Daily is your daily briefing on AI infrastructure, platform engineering, and the technologies shaping how we build and deploy software. New episodes every weekday.

Description: Apple announces a multi-year partnership with Google worth approximately $1 billion annually to power the next generation of Siri using Gemini's 1.2 trillion parameter model. We break down the three-component architecture (Query Planner, Knowledge Search, Summarizer), how Apple's Private Cloud Compute maintains privacy guarantees while running Google's model, the implications for OpenAI's ChatGPT integration, and what platform engineers should learn from Apple's "infrastructure first" approach to AI. Episode URL: /aidaily/00015 Summary: - Apple partners with Google to use Gemini (1.2T parameters) for Siri, 8x larger than current Apple Intelligence model - Three-component architecture: Query Planner (Gemini), Knowledge Search (on-device), Summarizer (Gemini) - Privacy preserved via Private Cloud Compute (PCC) - Gemini runs on Apple's servers with no persistent storage - Deal is non-exclusive (~$1B/year), allowing Apple to add other providers like Anthropic later - Tim Cook mentioned continued interest in Model Context Protocol (MCP) for AI-app integration - Key lesson: Build the infrastructure layer first, then plug in best-in-class models Duration: 10:58 Speakers: Jordan, Alex Target Audience: Platform Engineers, SREs, DevOps Engineers, AI/ML Engineers

Description: Google just announced a new protocol that could transform how AI agents conduct e-commerce transactions. Jordan and Alex dive deep into the technical architecture behind this "Agent Commerce Protocol." We cover: - The agent-commerce.json manifest file and capability-based API design - JWT-based authentication flow for AI agent transactions - Standardized error codes for predictable agent interactions - PayPal and Shopify integrations - Implementation roadmap for developers with custom backends - Security considerations: rate limiting, API gateways, and feature flags Whether you're building agent-facing APIs or curious about the future of AI-mediated commerce, this episode breaks down what Google's announcement means for the platform engineering world.

On January 9, 2026, thousands of developers woke up to find their AI coding workflows completely broken. Anthropic blocked third-party CLI wrappers like OpenCode without warning - and the economics behind this decision reveal uncomfortable truths about "unlimited" AI subscriptions that every developer building on AI platforms needs to understand. What We Cover Technical mechanism: How third-party tools were spoofing Claude Code client identity headers to bypass rate limiting The arbitrage: Users paying $200/month for "unlimited" Claude Max were consuming $1,000+ worth of API compute Why "unlimited" requires friction: Rate limits and throttling aren't bugs - they're features that make the business model sustainable Developer grievances: No warning, no transition period, DHH called it "customer hostile" 5-point framework: How to protect your AI platform dependencies The winning strategy: Multi-provider abstraction with fallbacks Key Takeaways When users find ways to consume 5x what you budgeted for, that's an existential threat to the business model If you're getting a deal that seems too good to be true in AI platforms, it probably is Build like every platform could lock you out tomorrow - because eventually, one of them will Sources Hacker News Discussion - 566 points, 480+ comments GitHub Issue #7410 - 147+ reactions Stay Connected Newsletter: aidaily.sh YouTube: Full episodes with timestamps AI moves fast. Here's what matters.

Today's deep dive: llama.cpp brings FlashAttention to WebGPU, enabling datacenter-grade LLM inference in your browser. In this 16-minute episode of AI Daily, Jordan and Alex break down how the llama.cpp team ported FlashAttention's memory-efficient algorithms to WebGPU using WGSL shaders and workgroup shared memory. Plus: OpenAI launches ChatGPT Health with 230M weekly health queries. 🔥 What We Cover OpenAI ChatGPT Health: Isolated health data, b.well medical records integration, Apple Health/MyFitnessPal connections llama.cpp b7678: FlashAttention for WebGPU - tiled attention using shared memory WebGPU as compute platform: Portable abstraction over Vulkan, Metal, DirectX 12 Wasm + WebGPU stack: How C++ talks to browser GPU APIs What you can build: VS Code extensions, web apps with zero server inference costs Sharp edges: Hardware lottery, VRAM limits, multi-GB model downloads 🔗 Sources & Links llama.cpp b7678 Release llama.cpp b7679 Release Related Research Paper Related Research Paper 📧 Stay Connected Newsletter: aidaily.sh YouTube: Full episodes with timestamps AI moves fast. Here's what matters.

Today's deep dive: SpikySpace combines Spiking Neural Networks with State-Space Models to achieve 98% energy reduction for time series forecasting on neuromorphic hardware. In this 21-minute episode of AI Daily, Jordan and Alex break down a breakthrough approach to energy-efficient AI inference. The SpikySpace paper shows how to co-design your model, software stack, and hardware target to enable sophisticated forecasting on coin-cell batteries and solar-powered edge devices. What You'll Learn Why combining SNNs with State-Space Models (SSMs) is a natural fit for temporal sparsity How event-driven computation lets you skip 99% of calculations when data isn't changing The developer workflow for neuromorphic hardware: Lava, snnTorch, surrogate gradients, and SDK compilation Why simplified activation functions matter more than you think for edge deployment Practical applications: predictive maintenance, health monitoring, traffic sensing, industrial IoT Key Technical Concepts Temporal sparsity: Compute follows the data, not the clock Surrogate gradients: Training non-differentiable spiking neurons with gradient descent Hardware-aware activation functions: Additions and bit-shifts instead of exponentials Spike encoding: Converting continuous signals to discrete events (rate vs latency encoding) Sources & Links SpikySpace Paper (arXiv) - Full research paper on Spiking State Space Models Intel Loihi - Neuromorphic research chip BrainChip Akida - Commercial neuromorphic processor Lava Framework - Intel's software stack for neuromorphic computing snnTorch - PyTorch-based spiking neural network library Stay Connected Newsletter: aidaily.sh YouTube: Full episodes with timestamps AI moves fast. Here's what matters.