RXed AI News

@Apptronik just secured $520M, bringing its total funding to nearly $1B. The cash will accelerate production of its Apollo humanoid robot, designed for industrial tasks. With demand for physical AI surging, this signals growing confidence in robotics’ role beyond labs. Takeaway: Industrial automation is no longer a niche play—it’s a $100B+ market waiting to scale. Watch how Apollo’s real-world adoption reshapes manufacturing. Source: https://www.therobotreport.com/apptronik-brings-in-another-520m-to-ramp-up-apollo-production/ @Pinterest’s stock fell after missing earnings expectations, but the platform claims user searches now outpace ChatGPT’s. While revenue growth lagged, engagement metrics hint at untapped potential in visual discovery. Takeaway: Search isn’t dead—it’s evolving. Pinterest’s data suggests AI tools may struggle to replicate the nuance of human-curated visual intent. Stay tuned for how platforms adapt. Source: https://techcrunch.com/2026/02/12/amid-disappointing-earnings-pinterest-claims-it-sees-more-searches-than-chatgpt/

What if robots and humans could collaborate as equals? Destro AI’s new Agentic AI Brain treats both as agents in a unified cloud system, enabling seamless human-robot workflows. Hardware-agnostic, it’s a step toward democratizing physical AI. Takeaway: Businesses can now design workflows where humans and robots coexist without siloed tech. Watch how this reshapes manufacturing and logistics. Source: https://www.therobotreport.com/destro-ai-launches-agentic-ai-brain-human-robot-collaboration/ --- What if SpaceX’s next leap isn’t Mars, but the Moon? Elon Musk envisions Moonbase Alpha with a “mass driver” launching AI satellites into deep space. It’s a bold pivot for xAI and SpaceX. Takeaway: This hints at a future where lunar infrastructure fuels AI-driven space exploration. Track how Moonbase Alpha could redefine interplanetary logistics. Source: https://techcrunch.com/2026/02/12/musk-needed-a-new-vision-for-spacex-and-xai-he-landed-on-moonbase-alpha/

What if your best developers wrote zero code last month? @Spotify says its top engineers haven’t touched a keyboard since December—relying on @AnthropicAI’s Claude Code and internal AI system Honk to accelerate development. Meanwhile, @OpenAI’s new Codex version runs on a dedicated chip, marking its first major hardware partnership. Both moves signal AI’s growing role in reshaping physical and digital workflows. Takeaway: The tools are here to automate coding—focus on what humans do best: creativity, strategy, and oversight. Watch how AI evolves from “assistant” to “co-creator” in engineering. Source: https://techcrunch.com/2026/02/12/spotify-says-its-best-developers-havent-written-a-line-of-code-since-december-thanks-to-ai/

Did you know Russia is testing cyborg spy pigeons? A Russian firm claims to have implanted remote-control brain interfaces in birds, enabling surveillance via neural signals. The tech lets operators steer flight paths and collect data in real time. Source: https://ground.news/article/russia-unleashes-cyborg-spy-pigeons-with-remote-control-brains_cb5882 Takeaway: This blurs lines between biology and AI, pushing physical robotics into uncharted territory. For businesses, it’s a reminder: ethical guardrails must evolve as fast as the tech itself. Watch for global regulatory debates ahead.

What if entry-level AI jobs aren’t what you think? IBM plans to triple U.S. entry-level hiring in 2026, but these roles will focus on AI collaboration, not replacement. @IBM’s shift reflects a broader trend: humans and AI working side by side. Source: https://techcrunch.com/2026/02/12/ibm-will-hire-your-entry-level-talent-in-the-age-of-ai/ Meanwhile, @Didero secures $30M to automate manufacturing procurement with agentic AI, acting as an ERP layer that executes updates autonomously. Source: https://techcrunch.com/2026/02/12/didero-lands-30m-to-put-manufacturing-procurement-on-agentic-autopilot/ Takeaway: The AI era isn’t about job loss—it’s about redefining roles. Adaptability and AI literacy will be key for professionals in any industry.

Want to break into AI but don't know where to start? @lexfridman just dropped 30 minutes of pure gold with @natolambert from @AllenAIInst and Sebastian Raschka (author of "Build a Large Language Model From Scratch"). Two leading ML researchers break down exactly what beginners should learn and build first. No fluff, just practical roadmaps from people who actually teach this stuff. Your takeaway: Stop scrolling tutorials and get structured advice from the experts who train the next generation of AI developers. https://www.youtube.com/watch?v=dGqhTpsu_5Y

AI School: Why @VegaSecurity just raised $120M isn't just another cybersecurity story. Traditional threat detection is reactive — like installing smoke alarms after the fire starts. Vega's approach uses AI to predict and prevent attacks before they happen, shifting from "detect and respond" to "predict and prevent." Think of it as moving from emergency medicine to preventive healthcare for your company's digital infrastructure. Your takeaway: Enterprise security is becoming predictive, not just protective. Companies paying premium valuations ($700M) for this shift. https://techcrunch.com/2026/02/10/vega-raises-120m-series-b-to-rethink-how-enterprises-detect-cyber-threats/

Czech Olympic ice dancers just discovered AI music's dirty secret the hard way: their AI-generated routine soundtrack turned out to be straight plagiarism of existing copyrighted music. This is why I keep saying AI tools are powerful assistants, not magic solutions. They still require human judgment and verification. Your takeaway: Always validate AI outputs, especially for public use. The models don't understand copyright—they just remix training data. https://techcrunch.com/2026/02/10/olympics-czech-ice-dancers-duo-ai-music/

Half of @xAI's founding team has now walked away. That's not typical startup churn — that's a red flag. When you're building the "everything app" AI and prepping for an IPO, losing your core technical talent signals deeper issues. Whether it's vision misalignment or execution problems, this level of exodus rarely happens without cause. Your takeaway: Founding team stability is a key indicator of AI company health. Watch who stays, not just who joins. https://techcrunch.com/2026/02/10/nearly-half-of-xais-founding-team-has-now-left-the-company/