💰️ Cognition Acquires Windsurf to Boost Devin IDE
Cognition, the startup behind the AI coding agent Devin, has snapped up AI coding platform Windsurf—excluding its CEO, who joined Google—days after OpenAI’s failed $3 billion bid and Google’s reverse-acquihire of key executives. The deal includes Windsurf’s IP, product, and remaining team, boasting $82 million ARR and 350+ enterprise clients, and plans to integrate Devin directly into Windsurf’s IDE.
💼 AI Won’t Replace Jobs, But Will Reshape Them
AI won’t kill jobs, says NVIDIA CEO Jensen Huang—it’ll redefine them. He argues prompting AI is a key skill, and uses multiple AI tools daily to enhance decision-making. While skeptics predict mass displacement, Huang sees AI as a productivity booster and equalizer, not a job destroyer. The future of work, he says, is about transformation, not elimination.
🌧️ Rainmaker, Atmo Team Up to Boost Rainfall
Cloud-seeding startup Rainmaker is partnering with AI weather firm Atmo to enhance rain-making efforts using deep learning forecasts and drone tech. Atmo will help identify ideal clouds for seeding, while Rainmaker shares precipitation data. Despite conspiracy claims, scientists stress cloud seeding’s effects are limited and can’t trigger major floods.
🗣️ Meta Acquires Voice AI Startup PlayAI
Meta has acquired PlayAI, a voice cloning startup known for generating natural-sounding speech, bringing its 35-person team in-house. The deal enhances Meta’s AI capabilities across wearables, voice agents, and content creation. It’s part of Meta’s aggressive AI push, including billion-dollar investments and elite hires for its superintelligence program.
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Meta is considering a major shift in its AI strategy. Internal discussions at its new Superintelligence Lab—led by Chief AI Officer Alexandr Wang—include abandoning its most powerful open-source model, Behemoth, in favor of a closed model. The move would mark a significant philosophical break for a company long committed to open-source development.
Behemoth has underperformed in internal tests, and its release has been delayed. While no final decision has been made, the pivot reflects Meta’s urgency to stay competitive with rivals like OpenAI and Google.
CEO Mark Zuckerberg has rebranded the division as “Meta Superintelligence Labs,” hired top researchers with nine-figure offers, and tasked Wang’s elite team—working in a siloed office next to him—with leading the company’s push toward superintelligent AI.
If Meta goes closed-source, it could undercut its open-access legacy and signal a broader industry turn toward secrecy. → Read the full article here.
NVIDIA is pitching “sovereign AI” as a must-have for modern nations: homegrown AI systems powered by domestic data, local infrastructure, and, crucially, its own chips. The idea is catching on—France, Germany, Saudi Arabia, South Korea, and the UAE are all building national AI infrastructure, with the EU alone investing €20B in AI “gigafactories.”
NVIDIA sees a potential $1 trillion opportunity, especially as its traditional cloud customers begin designing their own chips. But despite talk of autonomy, most countries still rely on U.S. hardware and expertise. Critics warn these projects may prioritize national pride over efficiency, risking lavish spending with limited returns. For NVIDIA, however, that’s a feature, not a bug. → Read the full article here.
As AI-fueled layoffs sweep through tech firms like Microsoft and Amazon, a pressing question has emerged: Is AI a bigger threat to rookies or veterans? Some experts warn that entry-level jobs are easiest to automate, while others argue seasoned workers face greater risk as AI mimics high-skill tasks once reserved for experts.
Data shows steep declines in jobs for newcomers in fields like coding and customer service, yet companies are also shedding experienced contract lawyers and mid-level managers. The emerging trend favors leaner teams: junior employees boosted by AI, a few senior overseers, and fewer in the middle. As firms chase efficiency, the traditional career ladder may be getting sawed off at both ends. → Read the full article here.
🚩 AI Therapy Chatbots Raise Red Flags: Stanford finds chatbots show bias, miss critical prompts, and aren’t safe therapist substitutes—though limited support roles may still be viable.
🪖 xAI Lands Pentagon Deal for Grok: Elon Musk’s xAI scored a U.S. defense contract to adapt its chatbot Grok for secure military use, marking a major step into government AI.
🏭️ Meta Plans Massive AI Data Centers: Zuckerberg says Meta will build multiple gigawatt-scale data centers to power its growing AI ambitions, rivaling energy demands of small cities.
⚡ California to Use AI for Power Outages: State grid operator CAISO will pilot “Genie,” a generative AI tool that analyzes outages in real time—potentially the first AI-managed grid in the U.S.
🛃 Malaysia Clamps Down on U.S. AI Chips: New rules require permits for U.S.-made high-performance AI chips crossing Malaysian borders, aiming to curb illegal trade and tighten oversight.
🕵️ Russian Airports Adopt AI Surveillance: Major hubs will use Ntechlab’s facial recognition tech to spot security threats—despite the firm being sanctioned over mass surveillance concerns.
📉 Indeed, Glassdoor Cut 1,300 Jobs for AI Push: Parent company Recruit says AI now writes half its code—layoffs target R&D and HR as manual labor costs become “too high.”
The industry hails Grok 4 as groundbreaking and nearing AGI, though critics raise concerns about safety, speed, and creator bias. Get the full scoop in Matt’s latest video! 👇
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