Tesla
Company — Reporting on Tesla, with a focus on AI, technology and business and consequential public developments.
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Electric vehicle and energy company developing AI for driving and robotics. This topic includes Tesla AI and Optimus within the broader Tesla business.
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- Electric vehicles; AI; robotics
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- Tesla
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Electric vehicle and energy company developing AI for driving and robotics. This topic includes Tesla AI and Optimus within the broader Tesla business.
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Good Morning, AI Enthusiasts!
AI is becoming infrastructure, agents are becoming operators, and humans are slowly moving from typing instructions to governing systems they no longer fully control.
NEW LAUNCH
The World's First Model Built for OpenClaw
👀 What’s happening: Z.ai has released GLM-5-Turbo, the first large language model explicitly designed for the OpenClaw agent framework. This was not a benchmark play. It was built to run persistent agents that call tools, execute workflows, and operate continuously for long sessions without breaking.
🌍 How this hits reality: Most frontier models are optimized for conversation or coding prompts. Agent workloads are different. A single OpenClaw task can trigger 30 to 40 model calls across tool APIs, webhooks, and pipelines. When one malformed JSON call appears, the entire chain collapses. Reliability, not intelligence, becomes the real bottleneck.
🛎️ Key takeaway: If frameworks like OpenClaw become the operating layer for AI agents, model design will shift toward reliability under long workflows. GLM-5-Turbo signals the beginning of models built for agent execution first, not chat.
Z.ai releases GLM-5-Turbo for OpenClaw workflows
👀 What’s happening: Z.ai has released GLM-5-Turbo, the first large language model explicitly designed for the OpenClaw agent framework. This was not a benchmark play. It was built to run persistent agents that call tools, execute workflows, and operate continuously for long sessions without breaking.
POKEMON
Pokemon Go Turned Players Into Free AI Labor
👀 What’s happening: A report revealed that Pokémon Go players unknowingly spent the last decade helping collect over 30 billion real-world images. Through AR scanning tasks inside the game, roughly 140 million players filmed streets, monuments, shops, and landmarks. Those scans were quietly stored as geotagged training data for spatial AI systems.
🌍 How this hits reality: This was not accidental data. The scans captured the same locations across weather, lighting, and time of day, producing a dense global map of visual anchors. That dataset now powers visual positioning systems that allow robots and delivery machines to navigate cities without relying on GPS, solving a major problem in dense urban areas.
🛎️ Key takeaway: The punchline writes itself. Millions thought they were hunting cartoon creatures while quietly performing unpaid fieldwork for spatial AI. The old internet rule still holds. When the product is free, the real product is usually you.
XAI
Elon Musk Resets xAI
👀 What’s happening: Elon Musk has begun another major shakeup inside xAI after becoming dissatisfied with the company’s progress in AI coding tools. Several founding members have left or been pushed out, while managers from Tesla and SpaceX were brought in to audit teams and review work. The trigger is simple: coding products from competitors are moving faster, and Musk believes xAI must reset its execution before the gap widens further.
🌍 How this hits reality: Coding is not a side feature in Musk’s ecosystem. It is the operational layer for everything he wants to build next. Autonomous robots, software agents, Tesla automation systems, and large-scale AI services all depend on models that can write, debug, and maintain complex software. With thousands of researchers and massive compute clusters already deployed, the bottleneck has shifted from hardware to execution speed.
🛎️ Key takeaway: Musk is treating coding as the foundation of his future stack. If xAI cannot close the gap quickly, the broader agent strategy around Grok, Macrohard, and Digital Optimus slows down. That explains the urgency. In this phase of the AI race, every quarter matters.
Elon Musk Resets xAI
👀 What’s happening: Elon Musk has begun another major shakeup inside xAI after becoming dissatisfied with the company’s progress in AI coding tools. Several founding members have left or been pushed out, while managers from Tesla and SpaceX were brought in to audit teams and review work.
Tesla: Elon Musk Resets xAI
Several founding members have left or been pushed out, while managers from Tesla and SpaceX were brought in to audit teams and review work. The trigger is simple: coding products from competitors are moving faster, and Musk believes xAI must reset its execution before the gap widens further.
HYPE
Jeremy Howard Warns Against AI Coding Hype
👀 What’s happening: Deep learning pioneer Jeremy Howard publicly challenged the idea that AI will soon automate software engineering. Responding to claims from figures like Dario Amodei and Elon Musk, he argued that many leaders may lead people to confuse code/software generation with real engineering. Models can write large amounts of code, but software development is mostly about system design, debugging, and understanding complex architectures.
🌍 How this hits reality: Howard says about 90 percent of his own code is now written by models, yet overall productivity barely changes. The bottleneck is rarely typing code. His bigger concern is organizational: tools like Claude Code encourage prompt driven development where engineers no longer understand the systems they deploy, quietly building massive technical debt.
🛎️ Key takeaway: Howard’s warning is simple. AI can accelerate coding, but replacing engineering judgment is a mistake. The real path forward is human and machine learning together, not developers slowly surrendering their understanding of the systems they build.
DAILY TL;DR
- Anthropic is offering Free, Pro, Max, and Team subscribers double Claude usage limits during off-peak hours from March 13 to March 27.
- AI consultant used ChatGPT, AlphaFold, and Grok to design an experimental treatment for his dog, reportedly shrinking the tumor by about 75%.
- Sam Altman said AI could eventually be delivered like a utility—metered and billed based on how much intelligence users consume.
- After restructuring xAI, Elon Musk said the company will catch up with OpenAI, Anthropic, and Google this year and surpass them within three years.
- Despite the Pentagon labeling Anthropic a supply chain risk, Palantir still uses Claude in military systems and says replacing it will take time.
- Andrej Karpathy used AI to quickly analyze U.S. job exposure to automation, finding that high-paying white-collar roles show the highest vulnerability.
- Google and Accel’s India AI accelerator chose five startups from 4,000 applications while avoiding “AI wrapper” companies.
- ByteDance has reportedly paused the global launch of its Seedance 2.0 AI video generator amid copyright concerns from Hollywood studios.
- Meta is reportedly considering layoffs of over 20% to offset massive AI spending and efficiency gains.
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Good Morning, AI Enthusiasts!
One empire chasing embodied AGI, one economy struggling to manage the machines it already deployed, and one tech giant trying to rebuild the consumer AI stack from scratch.
AGI
Musk’s AGI Is Trained on Life, Not the Internet
📌 What’s happening: In his latest deep-dive, Elon Musk dismissed the current model race as “PDF-level intelligence.” Upcoming Grok 5’s 6 trillion parameters, he said, are only part of the story. The real edge lies in data that breathes — live streams from Startlink, Tesla’s cars, Optimus robots, Neuralink implants, and so on. While other labs feed on scraped text, Musk’s empire generates continuous, embodied experience. “We have the world’s best real-time data source,” he said. “Everyone else just has digital copies.”
🧠 How this hits reality: Musk’s version of AGI isn’t trained on the internet; it’s trained on life itself. Every Tesla autopilot mile, every X interaction, every Neuralink impulse becomes part of a living dataset no lab can replicate. Google can simulate the world; Musk’s empire records it. His bet is that true intelligence won’t emerge from reading about reality but from surviving it — learning through motion, risk, and feedback loops tied to the physical world.
🛎️ Key takeaway: While others teach AI to read the world, Musk is teaching it to live in it. And that may be the only road that actually leads to AGI.
Musk’s AGI Is Trained on Life, Not the Internet
🧠 How this hits reality: Musk’s version of AGI isn’t trained on the internet; it’s trained on life itself. Every Tesla autopilot mile, every X interaction, every Neuralink impulse becomes part of a living dataset no lab can replicate. Google can simulate the world; Musk’s empire records it.
Tesla: Musk’s AGI Is Trained on Life, Not the Internet
The real edge lies in data that breathes — live streams from Startlink, Tesla’s cars, Optimus robots, Neuralink implants, and so on. While other labs feed on scraped text, Musk’s empire generates continuous, embodied experience. “We have the world’s best real-time data source,” he said.
TOGETHER WITH FELO
Stop Working FOR Your Documents, Make Them Work FOR You
The 10x knowledge worker isn't typing faster—they're directing AI agents while competitors drown in copy-paste hell. Right now, someone just translated a 50-page deck in 3 minutes while you're still reformatting slide 12. Felo LiveDoc is the world's first Agent Workspace where documents don't just sit there—they evolve, analyze, and update themselves. Imagine a phantom team of designers, translators, and analysts inside your docs, unifying scattered PDFs, videos, and spreadsheets into one intelligent system that grows smarter with every task.
Here's what makes you look like a genius: While legacy tools treat you like a glorified typist, LiveDoc's multi-agent system operates autonomously. Design agents polish your layouts. Data agents extract insights across PDFs, videos, and web pages simultaneously. Translation agents speak every language your customers do—all working 24/7 inside one living workspace. This isn't productivity theater—it's the death of document drudgery. You're not just saving time; you're unlocking a superpower your competitors don't know exists yet.
And it's not just you—it's your entire team: Think of your best team collaboration tool—now add tireless AI teammates who never sleep, never forget context, and execute instantly. LiveDoc expands collaboration from human-to-human to human-plus-AI: team members direct, AI agents execute, all on the same canvas in real time. No more "latest_final_v3" nightmares. While your competitors coordinate between people, you're coordinating an entire hybrid workforce.
The insider move? Early adopters are already 10x-ing their output while the rest of the market is still toggling between twelve tabs. Every day you wait is another day spent manually updating slides like it's 2015. The knowledge workers who win aren't the ones who work harder—they're the ones who stopped editing and started directing.
🚀 Join the revolution: Get early access to Felo LiveDoc and become the person everyone asks, "How did you finish that so fast?" The age of manual document labor just ended. Are you evolving, or still typing?
SURVEY
Singapore Becomes AI’s Labor Lab
📌 What’s happening: A new IDC report commissioned by Deel surveyed 5,500 business leaders across 22 markets — from tech giants to logistics firms — and found that 91 percent of Singaporean companies have seen AI-driven role changes, the highest in Asia. Nearly half report outright job displacement, while 75 percent struggle to train future leaders as entry-level learning paths disappear.
🧠 How this hits reality: Singapore’s workforce is becoming a case study in controlled collapse. Automation is scaling faster than management talent can evolve, creating a silent governance gap. Junior roles once served as training grounds for future leaders — now they’re automated out of existence. Without that base, succession slows, institutional memory fades, and oversight thins. The irony is sharp: the more efficiently Singapore automates, the less human capacity it retains to manage what’s been built. What began as a productivity leap could soon harden into a leadership vacuum.
🛎️ Key takeaway: AI may not replace managers overnight, but it’s erasing the path to becoming one — and that’s how a talent shortage becomes structural.
NEW LAUNCH
Alibaba’s Qwen App Becomes China’s ChatGPT
📌 What’s happening: Alibaba’s newly relaunched Qwen app hit 10 million downloads in a single week, topping China’s AI charts and sending its Hong Kong stock up over 5%. The app folds Taobao, Amap, Fliggy, and DingTalk functions into one AI interface — a conversational super-portal that’s clearly modeled after ChatGPT’s all-in-one ecosystem. For a market where OpenAI is banned and Baidu’s Ernie still feels corporate, Qwen suddenly looks like the country’s first truly mainstream AI companion.
🧠 How this hits reality: Qwen marks Alibaba’s most cohesive consumer play in years. After watching its empire fragment across apps, the company is now using AI as a unifying operating system for everyday life — from ordering food to filing expenses. It’s not a language model race; it’s a platform consolidation gambit. The bet is simple: if ChatGPT redefined the interface of the West, Qwen could do the same for China — with commerce, payments, and logistics already built in.
🛎️ Key takeaway: Alibaba isn’t building China’s answer to ChatGPT — it’s building the ChatGPT China will actually use.
Alibaba’s Qwen App Becomes China’s ChatGPT
The app folds Taobao, Amap, Fliggy, and DingTalk functions into one AI interface — a conversational super-portal that’s clearly modeled after ChatGPT’s all-in-one ecosystem. For a market where OpenAI is banned and Baidu’s Ernie still feels corporate, Qwen suddenly looks like the country’s first truly mainstream AI companion.
Alibaba’s Qwen App Becomes China’s ChatGPT
📌 What’s happening: Alibaba’s newly relaunched Qwen app hit 10 million downloads in a single week, topping China’s AI charts and sending its Hong Kong stock up over 5%. The app folds Taobao, Amap, Fliggy, and DingTalk functions into one AI interface — a conversational super-portal that’s clearly modeled after ChatGPT’s all-in-one ecosystem.
QUICK HITS
- Sierra reached $100 million in ARR in under two years, reflecting rapidly growing enterprise demand for automated AI customer service agents.
- Wikipedia’s field guide to spotting AI-generated writing offers one of the most reliable ways to identify LLM-written text based on linguistic patterns.
- After settling with Universal, Udio blocked downloads, and its class-action waiver means users have virtually no way to push back.
- Profluent Bio raised $106 million from Jeff Bezos and others to use AI for on-demand protein design.
- Archetype raised $35 million from Bezos Expeditions and others to use its Newton models to unify sensor data and automate industrial monitoring.
TRENDING
Daily AI Launches
- Dim Notes launched a minimalist app that auto-tags notes to help your thoughts connect automatically.
- BrandJet AI launched a unified platform for multi-channel outreach and AI-powered brand intelligence tracking.
- ProspectEcho launched a no-code tool that converts Facebook Ad Library searches into enriched lead lists in minutes.
- Felo launched LiveDoc, a collaborative workspace where humans and AI agents work together on dynamic projects.
Featured AI Tools
- 🧠 TRAE (The Real Al Engineer) is the most price-competitive coding agent.
- 🎥 KaraVideo unites all AI video models in one place.
- 📚 Heardly is the Fast Way to read Best Book.
- 🤖 Momen AI bridges the gap from vibe to viability, powering Lovable apps without code.
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Good Morning, AI Enthusiasts!
Before we dive in, a quick apology.
Yesterday’s Cloudflare meltdown — one of the largest internet outages in years — took down a fifth of the web and briefly turned every link in our newsletter into dead weight. If you clicked and nothing happened, that wasn’t your inbox. That was the backbone of the modern internet face-planting.
And the timing could not have been more symbolic.
On the very day Gemini 3 claimed the model-layer throne, the infrastructure beneath the entire AI stack buckled. It was a perfect reminder: in the AI era, raw model power isn’t our only risk surface. The real existential fragility sits lower — in the unseen networks, routing layers, and mitigation systems that keep intelligence online.
🛎️ Gemini 3 Ascends the Throne
And the timing could not have been more symbolic.On the very day Gemini 3 claimed the model-layer throne, the infrastructure beneath the entire AI stack buckled. It was a perfect reminder: in the AI era, raw model power isn’t our only risk surface.
NEW LAUNCH
Gemini 3 Ascends the Throne
📌 What’s happening: Google’s Gemini 3 has finally landed, and it’s not playing catch-up—it’s cleaning house. The model dominates every benchmark across text, code, math, multimodal, and Agent reasoning, scoring 1501 Elo on LMArena and breaking records from GPQA Diamond to ARC-AGI. It’s the first truly unified model—multimodal, inferential, and agentic—trained end-to-end on Google’s own TPU stack. The shockwave was so strong that both Elon Musk and Sam Altman publicly congratulated Google on X.
🧠 How this hits reality: While GPT-5.1 and Grok 4.1 chased emotional tone, Google spent two quiet years hardening cognition, inference, and autonomy since the launch of Gemini 1. The result is total field dominance—Gemini 3 codes, reasons, and builds like a self-directed dev team. What was “AI assistance” for others is now AI replacement for Google.
🛎️ Key takeaway: Gemini 3 didn’t just win the leaderboard—it made its rivals tweet applause. The throne is taken, and this time it speaks fluent code, vision, and reason.
Gemini 3 Ascends the Throne
📌 What’s happening: Google’s Gemini 3 has finally landed, and it’s not playing catch-up—it’s cleaning house. The model dominates every benchmark across text, code, math, multimodal, and Agent reasoning, scoring 1501 Elo on LMArena and breaking records from GPQA Diamond to ARC-AGI. It’s the first truly unified model—multimodal, inferential, and agentic—trained end-to-end on Google’s own TPU stack.
TOGETHER WITH TRAE
The Smartest Way To Build With AI
The Best AI Coding tool TRAE has officially released SOLO Mode on November 12th. TRAE SOLO is defined as "The Responsive Coding Agent", which is the only coding agent with a comprehensive GUI, bringing autonomous coding to an interactive visual workspace.
TRAE provides two ways for you to build with AI. IDE mode preserves your existing workflow when you need to maintain hands-on control, while SOLO mode lets AI take the lead to drive the entire development processes.
SOLO Coder - Deep understanding for complex work
Start with a plan. Work with sub-agents to break complex challenges into focused tasks. Iterate, refactor, and optimize with full codebase context and precise execution.
SOLO Builder - Idea to Launch, Faster than Ever
For every idea worth shipping. Go from vision to end-to-end product without the usual overhead. PRD → Tasks → Code → Preview → Deploy. One flow, infinite possibilities. Ship what you imagine.
Coding agents in TRAE now work together, like a coordinated team—sharing context, avoiding conflicts, and delivering cohesive results. You can orchestrate everything through the visual workspace.
OUTAGE
Cloudflare Trips, Half the Internet Falls
📌 What’s happening: Yesterday, Cloudflare’s “latent bug” triggered one of the largest outages in recent memory, knocking offline ChatGPT, Claude, Spotify, X, and countless others. A routine configuration change crashed the company’s bot-mitigation service, cascading through its global network before being patched two hours later.
🧠 How this hits reality: When one company shielding 20% of the web stumbles, it’s not a glitch — it’s a reminder that the internet’s backbone now still runs through a handful of choke points. In an era obsessed with AI safety, the real systemic risk may sit lower in the stack: Cloudflare, AWS, and a few hyperscalers whose reliability is now public infrastructure in everything but name. Regulators still treat them like vendors, investors like growth stories, and engineers like inevitabilities — but yesterday proved they’re none of the above. The internet’s “safety layer” isn’t just fragile; it’s structurally under-supervised.
🛎️ Key takeaway: Before worrying about rogue AI, make sure your load balancer doesn’t take civilization offline.
ROBOTAXI
Tesla Shows Its FSD Math — Brilliant, Brave, and Still Half Blind
📌 What’s happening: After Waymo’s co-CEO called for transparency, Tesla finally cracked open its black box, publishing detailed safety data for Full Self-Driving (Supervised). It claims 5 million miles per major crash and 1.5 million per minor one — numbers that outshine national averages and, for once, come with definitions and methodology. Given how experimental and end-to-end FSD is, this is a big leap in transparency after years of vague quarterly safety blurbs, but the dataset is still Tesla-filtered and regulator-unverified.
🧠 How this hits reality: FSD’s architecture pushes autonomy beyond rule-based driving into AI based learned behavior, which makes Tesla’s openness both bold and fragile. Regulators aren’t built to grade probabilistic driving models, and engineers know the dataset still lacks injury data or third-party validation. Compared with Waymo’s traditional, cautious, and heavily engineered system, Tesla looks like the kid showing homework that isn’t fully graded yet — impressive in ambition, but still waiting for someone credible to mark the answers right.
🛎️ Key takeaway: Tesla’s FSD may be the future; regulators just aren’t sure it’s the present yet.
Tesla Shows Its FSD Math — Brilliant, Brave, and Still Half Blind
📌 What’s happening: After Waymo’s co-CEO called for transparency, Tesla finally cracked open its black box, publishing detailed safety data for Full Self-Driving (Supervised). It claims 5 million miles per major crash and 1.5 million per minor one — numbers that outshine national averages and, for once, come with definitions and methodology.
QUICK HITS
- TikTok added controls for how much AI content users see and began testing invisible watermarks to better label AI-generated media.
- Emm raised $9M to launch a smart menstrual cup that tracks reproductive health data and serves as a starting point for broader women’s health products.
- Neocloud provider Lambda announced it has raised $1.5 billion in new funding led by TWG Global, a newly formed $40 billion investment firm.
- Intuit signed a $100M+ deal with OpenAI to bring its tax and finance apps to ChatGPT and deepen its use of OpenAI’s models across the company.
- Elon Musk and Jensen Huang will discuss AI and technology at a major U.S.-Saudi investment forum attended by top American and Saudi companies.
TRENDING
Daily AI Launches
- Markopolo AI has launched a platform that uses behavioral signals to generate individualized follow-ups, claiming to double conversion rates.
- Typeless has launched a voice-to-text tool that transforms natural speech into polished, context-aware documents that match your style.
- GoMarble AI has launched an AI agent for Meta Ads that instantly explains performance changes with root cause analysis and recommendations.
- Checkit has launched a visual scanner that instantly rates grocery items on health and ethics without needing barcodes.
Featured AI Tools
- 🧠 TRAE (The Real Al Engineer) is the most price-competitive coding agent.
- 🎥 KaraVideo unites all AI video models in one place.
- 📚 Heardly is the Fast Way to read Best Book.
- 🤖 Momen AI bridges the gap from vibe to viability, powering Lovable apps without code.
TOGETHER WITH US
AI Secret Media Group is the world’s #1 AI & Tech Newsletter Group, boasting over 2 million readers from leading companies such as OpenAI, Google, Meta, and Microsoft. Our Newsletter Brands:
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- Robotics: Robotics Herald
We've helped promote over 500 Tech Brands. Will yours be the next?
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Good Morning, AI Enthusiasts!
Altman dares the market to doubt him, turning speculation into a kind of performance art.
PODCAST
Sam Altman Dares the Market: “Go Short OpenAI”
📌 What’s happening: Fresh off OpenAI’s massive reorg into a dual structure — the OpenAI Foundation (nonprofit parent) and OpenAI Group PBC (public benefit corp) — Sam Altman went on a public offensive. He reaffirmed dependence on Microsoft’s infrastructure, dismissed the $1.4T spending scare, and lobbed a grenade at critics: “I’d love to tell them to short the stock, and I’d love to see them get burned on that.”
🧠 How this hits reality: Altman’s swagger isn’t just bravado; it’s a signal that OpenAI’s valuation psychology is shifting from existential risk to sovereign confidence. He’s betting scale and compute scarcity will keep rivals cornered. But the “welcome to short” line also sets a dangerous precedent: it turns the AI boom into a financial combat sport where belief in AGI isn’t just a thesis, it’s a trade. Expect volatility to spike across the private AI market, especially for firms still running on OpenAI APIs or Microsoft credits.
🛎️ Key takeaway: Altman didn’t just invite shorts. He redefined AI faith as a zero-sum bet.
Sam Altman Dares the Market: “Go Short OpenAI”
🧠 How this hits reality: Altman’s swagger isn’t just bravado; it’s a signal that OpenAI’s valuation psychology is shifting from existential risk to sovereign confidence. He’s betting scale and compute scarcity will keep rivals cornered.
Sam Altman Dares the Market: “Go Short OpenAI”
📌 What’s happening: Fresh off OpenAI’s massive reorg into a dual structure — the OpenAI Foundation (nonprofit parent) and OpenAI Group PBC (public benefit corp) — Sam Altman went on a public offensive.
Microsoft: 🛎️ Altman Dares the Market
He reaffirmed dependence on Microsoft’s infrastructure, dismissed the $1.4T spending scare, and lobbed a grenade at critics: “I’d love to tell them to short the stock, and I’d love to see them get burned on that.”
TOGETHER WITH BYTEPLUS
Seedance 1.0 Pro Fast — Ultra-Fast, Pro-Quality AI Video Generation
Introducing Seedance 1.0 Pro Fast, the latest breakthrough from BytePlus that pushes the frontier of AI-driven video creation. Built for creators and enterprises demanding both speed and cinematic quality, Seedance redefines efficiency — generating an 8-second 720p video in just 26 seconds, making it up to 4× faster than Veo3 Fast while maintaining professional-grade realism and style consistency.
Powered by advanced semantic understanding and motion simulation, Seedance analyzes prompts, reference images, and scene logic to interpret intent, infer motion, and complete coherent storylines. The result is a video that feels natural, expressive, and emotionally engaging — not just rendered, but directed.
Compared with Veo3 Fast, Seedance delivers smoother motion control, stronger prompt adherence, and more physical realism, especially in complex or high-action scenes. Its multi-shot storytelling engine plans zooms, transitions, and perspective shifts automatically, enabling creators to achieve cinematic rhythm and flow without manual edits.
Supporting flexible output from 2–12 seconds at 480p, 720p, or 1080p, Seedance gives you the freedom to create faster, better, and more affordably — breaking the old speed–quality–cost triangle and setting a new benchmark for AI video generation.
AUTOMOBILE
Nissan Teaches AI to Copy Engineers While Tesla Lets AI Be One
📌 What’s happening: Nissan has extended its partnership with UK firm Monolith to use AI in cutting physical car tests, a move aimed at halving development times and catching up with China’s 18-month design cycles. The AI system, trained on decades of Nissan test data, predicts outcomes like bolt tension, tire wear, and battery performance before the prototypes hit the track. It’s efficiency by simulation, not reinvention.
🧠 How this hits reality: While Nissan is still teaching AI to imitate engineers, Tesla already replaced half the test lab with code. Its Dojo supercomputer runs a closed feedback loop — every virtual crash, stress test, and aerodynamic tweak lives inside one self-learning system. Nissan buys acceleration; Tesla manufactures iteration.
🛎️ Key takeaway: Legacy automakers are renting AI assistants. Tesla built an AI workforce.
Nissan Teaches AI to Copy Engineers While Tesla Lets AI Be One
🧠 How this hits reality: While Nissan is still teaching AI to imitate engineers, Tesla already replaced half the test lab with code. Its Dojo supercomputer runs a closed feedback loop — every virtual crash, stress test, and aerodynamic tweak lives inside one self-learning system. Nissan buys acceleration; Tesla manufactures iteration.
ADS
Google’s First AI Ad Outsmarts the Uncanny Valley
📌 What’s happening: Google dropped its first fully AI-generated ad using Veo 3 — a holiday short where a plush turkey plots its escape from Thanksgiving. The twist: no uncanny faces, no “AI-made” label, just quiet charm. It’s a soft debut that turns AI from headline gimmick into invisible craft, a far cry from Coca-Cola’s glossy but uncanny AI experiment earlier this year.
🧠 How this hits reality: Google isn’t showing off tech; it’s laundering it. By embedding Veo 3 into a soft, harmless narrative, Google normalizes AI-made media without triggering the creep response. It’s a stealth distribution move: turn Veo into the Photoshop of video, not the Sora of hype. Creative agencies should take note, Google just redefined “AI-assisted storytelling” as “comfort content.”
🛎️ Key takeaway: Google didn’t make an AI ad; it made AI invisible, and that’s how you win the next creative arms race.
Google’s First AI Ad Outsmarts the Uncanny Valley
🧠 How this hits reality: Google isn’t showing off tech; it’s laundering it. By embedding Veo 3 into a soft, harmless narrative, Google normalizes AI-made media without triggering the creep response. It’s a stealth distribution move: turn Veo into the Photoshop of video, not the Sora of hype.
QUICK HITS
- Andon Labs tested leading LLMs on a robot and found that current models still struggle to translate reasoning into embodied action.
- Reddit says AI chatbots are not a significant traffic source, with Google search and direct visits remaining its main drivers.
- Fox News retracted a story after it mistakenly used AI-generated TikTok videos as real sources.
- Perplexity launched an AI-powered patent search tool that lets users find patents and prior art using natural language.
- Canva launches its AI-powered “Creative Operating System,” unifying design, video, and marketing tools in one workspace for creative and business teams.
TRENDING
Daily AI Launches
- WhatsDiff launched an open-source CLI tool that shows what changed after an npm/composer update, providing changelogs directly in your terminal.
- BilberryDB launched a no-code, multimodal vector database for building AI apps with fast embedding search across all data types (3D, video, text, etc.).
- Ultracite has launched as a zero-configuration linter and formatter to help humans and AI write consistent, type-safe code.
- PoemCam launched a free app that instantly adds an AI-generated poem to your photos, matching the scene's mood.
Featured AI Tools
- 🎥 KaraVideo unites all AI video models in one place.
- 📚 Heardly is the Fast Way to read Best Book.
- 🪶 CopyOwl is the First AI Research Agent, deep research on any topic in one click.
- 🤖 Momen AI bridges the gap from vibe to viability, powering Lovable apps without code.
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Good Morning, AI Enthusiasts!
We’re about to blast off into the cosmos of AI advancements, where the only thing more inflated than the ambitions of tech giants is the number of satellites orbiting our planet.
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SPACE
China’s Ambitious Leap Toward a Space-Based Computing Center Network
The evolution of data centers into space has emerged from the realm of science fiction into a reality driven by the demands of AI. On May 14, China launched a group of satellites for space computing from Jiuquan. This event marks the world’s first space-based computing center network.
- The demand for AI has made traditional data centers unsustainable, with predictions indicating they could consume nearly all global electricity. Space-based data centers offer energy efficiency through solar power, natural cooling from the vacuum of space, reduced land use, and lower latency for data transmission.
- China‘s ADA Space has been pivotal in advancing space-based computing with the Star-Compute Program, aiming to establish a 2,800-satellite constellation. This infrastructure is designed to support the increasing need for real-time computing and positions China as a leader in space computing.
- The race for space-based computing isn't isolated to China; global players like Red Hat and Axiom Space, along with U.S. company Starcloud, are also launching initiatives to establish their presence in orbital data centers, highlighting the competitive nature of this emerging field.
The strides made in space-based data centers are more than just technological advancements; they represent a pivotal shift in how we approach the challenges of energy consumption and data processing. A new frontier in data infrastructure is being explored, promising to revolutionize how we manage computational power.
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ROBOTAXI
Competition Ignites: Amazon's Silent Step into Robotaxi
The robotaxi industry in 2025 has become a fierce competitive landscape, with major players like Tesla, Amazon's Zoox, and Google's Waymo each carving out their strategies to dominate the market. As these companies innovate and expand, their distinct approaches to technology, safety, and consumer engagement reveal a dramatic shift in transportation dynamics.
- Amazon's Zoox is developing a bidirectional robotaxi focused on passenger comfort and safety, aiming to create a unique ride-hailing experience.
- Tesla is set to launch its Full Self-Driving (FSD) robotaxi service in June 2025, starting in Austin, Texas. The technology relies on a vision-based system, eliminating lidar and aiming for cost efficiency and scalability.
- Waymo has been operating commercial robotaxi services since 2020 and is known for its focus on safety and reliability, utilizing advanced sensors including lidar.
Like Waymo, Zoox faces limited market presence with only a few operational vehicles, making it challenging to compete with more established players like Tesla. Tesla is leveraging its existing vehicle fleet for rapid deployment and has generated significant public interest through aggressive marketing and Elon Musk’s brand power.
Tesla: Competition Ignites: Amazon's Silent Step into Robotaxi
Like Waymo, Zoox faces limited market presence with only a few operational vehicles, making it challenging to compete with more established players like Tesla. Tesla is leveraging its existing vehicle fleet for rapid deployment and has generated significant public interest through aggressive marketing and Elon Musk’s brand power.
Google: Competition Ignites: Amazon's Silent Step into Robotaxi
The robotaxi industry in 2025 has become a fierce competitive landscape, with major players like Tesla, Amazon's Zoox, and Google's Waymo each carving out their strategies to dominate the market. As these companies innovate and expand, their distinct approaches to technology, safety, and consumer engagement reveal a dramatic shift in transportation dynamics.
Competition Ignites: Amazon's Silent Step into Robotaxi
The robotaxi industry in 2025 has become a fierce competitive landscape, with major players like Tesla, Amazon's Zoox, and Google's Waymo each carving out their strategies to dominate the market. As these companies innovate and expand, their distinct approaches to technology, safety, and consumer engagement reveal a dramatic shift in transportation dynamics.
QUICK HITS
- OpenAI has launched its GPT-4.1 model, now available in ChatGPT for all paid users, with GPT-4.1 mini as the default model for free users.
- Privacy advocacy group noyb has launched a new challenge against Meta's AI data practices in Europe.
- Elon Musk's AI chatbot Grok mistakenly linked "white genocide" to unrelated topics before corrections were made.
- A bipartisan group of senators is reviving a bill to reduce Big Tech's influence on Pentagon contracts related to cloud computing and AI.
- A study reveals that AI agents can spontaneously develop human-like social norms and communication conventions.
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1 Million+ AI enthusiasts are eager to learn about your product.
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Good Morning, AI Enthusiasts!
While the DOJ hasn't sentenced Google yet, OpenAI is eager to take a significant piece for itself.
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ANTITRUST
OpenAI's Interest in Acquiring Google Chrome
The ongoing antitrust trial against Google has opened new doors for innovation and competition in the tech landscape. OpenAI's expressed interest in acquiring Google's Chrome web browser marks a pivotal moment in the intersection of artificial intelligence and online browsing.
- The current trial phase involves remedies, with the DOJ advocating for the divestiture of Chrome, which has over 4.1 billion users, to bolster competition.
- OpenAI's product manager, Nick Turley, testified that acquiring Chrome would facilitate the creation of an “AI-first browser,” allowing for the integration of AI technologies like ChatGPT to enhance user interaction with the web.
- With Chrome’s extensive user base, OpenAI sees an opportunity to introduce innovative AI-driven features, such as personalized recommendations and conversational search, which could differentiate its browser from competitors and refine its AI models through direct user data access.
OpenAI's Interest in Acquiring Google Chrome
OpenAI's product manager, Nick Turley, testified that acquiring Chrome would facilitate the creation of an “AI-first browser,” allowing for the integration of AI technologies like ChatGPT to enhance user interaction with the web.
OpenAI's Interest in Acquiring Google Chrome
The ongoing antitrust trial against Google has opened new doors for innovation and competition in the tech landscape. OpenAI's expressed interest in acquiring Google's Chrome web browser marks a pivotal moment in the intersection of artificial intelligence and online browsing.
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ROBOTAXI
Tesla 2025 Earnings Call Showcases Musk’s Robotaxi Ambitions
During Tesla’s Q1 earnings call, CEO Elon Musk made one of his most ambitious predictions yet: “I predict that there will be millions of Teslas on autonomous driving – fully autonomous driving – in the second half of next year.”
- Tesla plans to launch a pilot for its robotaxi program with a limited fleet of 10 to 20 Model Y vehicles in Austin in June 2025, with the objective to scale rapidly after proving operational reliability.
- The company distinguishes itself by relying primarily on camera-based vision and AI for its autonomous systems, contrasting with competitors that utilize a mix of sensors. This strategy allows for theoretically faster scaling as any Tesla with the right hardware can become a robotaxi through software updates.
- Following the Austin pilot, Tesla aims to expand its robotaxi services nationwide by the end of 2025, while also planning to allow vehicle owners to join the network by 2026, creating a new income stream for users.
- The current charging infrastructure may not support Musk's vision of millions of robotaxis, necessitating significant upgrades to both the Supercharger network and grid capacity to handle increased demand.
- Tesla faces stiff competition from established players like Waymo and Zoox, which are already operational. The disappointment in Tesla's recent financial results adds pressure for the robotaxi program to succeed as a potential catalyst for future growth.
Tesla 2025 Earnings Call Showcases Musk’s Robotaxi Ambitions
During Tesla’s Q1 earnings call, CEO Elon Musk made one of his most ambitious predictions yet: “I predict that there will be millions of Teslas on autonomous driving – fully autonomous driving – in the second half of next year.”
Tesla 2025 Earnings Call Showcases Musk’s Robotaxi Ambitions
Tesla faces stiff competition from established players like Waymo and Zoox, which are already operational. The disappointment in Tesla's recent financial results adds pressure for the robotaxi program to succeed as a potential catalyst for future growth.
QUICK HITS
- Intel is set to announce layoffs of over 21,000 employees, representing 20% of its workforce, this week.
- SK Hynix has overtaken Samsung to become the world's leading DRAM chip vendor, driven by strong demand for AI technology.
- BMW plans to integrate DeepSeek in its new vehicles in China starting later this year.
- Noxtua raises $92 million to develop a sovereign AI tailored for the German legal system.
- Chinese internet giants ByteDance, Alibaba, and Tencent have stockpiled billions in Nvidia's H20 chips ahead of new U.S. export restrictions.
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- 🎓 StudyFetch creates your course material in seconds.
- 🪶 CopyOwl is the First AI Research Agent, deep research on any topic in one click. (Featured)
- 📚 Heardly is the Fast Way to read Best Book. (Featured)
- 🚀 Intellectia.ai is the most powerful AI platform for smarter investment. (Featured)
- 🔎 Accio is the First AI Sourcing Engine for products and B2B insights.(Featured)
1 Million+ AI enthusiasts are eager to learn about your product.
AI Secret is the world’s #1 AI Newsletter, boasting over 1 million readers from leading companies such as OpenAI, Google, Meta, and Microsoft. We've assisted in promoting Over 500 AI-Related Products. Will yours be the next?
What We Can Offer:
- Launch an Advertising Campaign
- Introduce New Product or Features
- Other Business Cooperation
Email our co-founder Mark directly at [email protected] if the button fails.
Magna
Magna
Magna
🛎️ Musk Finds the Only Road to AGI
Plus: AI’s Labor Lab, China’s ChatGPT
🛎️ Gemini 3 Ascends the Throne
Plus: Half the Internet Falls, Tesla Shows Its FSD
🛎️ Altman Dares the Market
Plus: When AI Builds Cars, Google’s Turkey Gambit
Figure 03 and the Factory That Builds Dreams
The robots are coming. They just keep stopping at the lab door.
🛎️The World’s First Space Computing Center
Amazon quietly enters the robotaxi market, sparking competition.
🛎️OpenAI Eyes Chrome
Tesla 2025 Earnings Call Showcases Musk’s Robotaxi Ambitions
Tesla 2025 Earnings Call Showcases Musk’s Robotaxi Ambitions
On April 22, 2025, during Tesla’s Q1 earnings call, CEO Elon Musk made one of his most ambitious predictions yet: “I predict that there will
Figure AI Ditches OpenAI for its Own Models: AI Drama Continuing
In a move that has sent shockwaves through the tech world, Figure AI, the ambitious Bay Area-based robotics company, has decided to part ways with OpenAI.
