Data labeling involves humans annotating raw data with descriptive tags or categories to create training datasets for AI models, ensuring accuracy in learning patterns and behaviors. It is essential because AI models, particularly in machine learning, require high-quality labeled data to achieve reliable performance and alignment with intended outcomes.

The demand for skilled data labelers has surged as enterprises scale AI from pilots to production, while Big Tech firms like Meta acquire stakes in data labeling leaders such as Scale AI to secure both infrastructure and expert teams. With only 7.6% of 4.2 million global AI jobs filled by qualified professionals, competition drives multimillion-dollar packages, making hiring labor-intensive roles challenging.

Bitcoin's decline to around $65,000 stems from broader market pressures including weakening technology stocks, negative ETF flows, deteriorating investor confidence following a $29 million hack on Solana-based DeFi platform Step Finance, and a rotation into safe havens like gold which surged past $5,000 per ounce. The Crypto Fear and Greed Index has reached 12, its lowest since November 2025, indicating extreme fear.

JPMorgan estimates Bitcoin's production cost at around $87,000, which has historically acted as a 'soft price floor.' With the current price at $65,000 below this level, unprofitable miners may exit the market, potentially lowering production costs further and exerting additional downward pressure on prices.

Satoshi Nakamoto is the pseudonymous creator of Bitcoin, the first cryptocurrency, who published its whitepaper in 2008 and released the software in 2009 before disappearing from public view in 2011. The true identity of Satoshi Nakamoto remains unknown, fueling numerous speculations and conspiracy theories.

Recent Jeffrey Epstein documents highlight his complex ties to the cryptocurrency sector, including associations with major platforms like Binance, though they do not reveal evidence linking him to being Satoshi Nakamoto. Speculation arises from his elite financial networks but lacks substantiation.

The Acemagic Retro X3 is powered by the AMD Ryzen 7 H 255 processor on Zen 4 architecture, featuring 8 cores, 16 threads, base clock of 3.8GHz, boost up to 4.9GHz, 16MB L3 cache, and integrated Radeon 780M graphics with 12 compute units up to 2600MHz.

It supports up to 128GB DDR5-5600 RAM via dual SODIMM slots, dual M.2 2280 PCIe 4.0 SSD slots for up to 4TB storage, USB4, HDMI 2.1, DisplayPort 2.0, 2.5G Ethernet, six USB Type-A ports, Wi-Fi 6, and Bluetooth 5.2, with modular upgrades via side panel access.

Dana Nessel has requested state regulators to reassess the Michigan Public Service Commission's approval of DTE Energy's power supply contracts for Oracle and OpenAI's 1.4 GW data center in Saline Township due to concerns over energy management, sustainability, potential impacts on utility bills, and progress in decarbonizing Michigan's energy production.

No, Oracle will pay 100% of the energy costs, including for battery storage, new transmission lines, and an onsite substation. Michigan law prohibits utilities from passing data center costs to ratepayers, and Oracle's contributions as a large customer are expected to help make energy more affordable for DTE customers.

The new AirTag features a 50% louder speaker, but iFixit demonstrates that it remains 100% easy to disable by drilling directly into the speaker, avoiding damage to other components like chips or antennas.

The teardown highlights a 50% louder speaker using the plastic dome as a diaphragm, a second-generation Ultra Wideband chip, and confirms the speaker can still be easily disabled by drilling, similar to the original model.

Mobile Fortify relies on facial recognition technology, which has well-documented accuracy issues, including higher error rates for women and people of color, especially in uncontrolled field environments. ICE treats positive matches as definitive even when contradicted by evidence like birth certificates.

The app collects biometric and biographical data from anyone scanned, including US citizens and lawful permanent residents, without opt-out options, and retains it for 15 years. A 'Super Query' can then access linked data on people, vehicles, addresses, and travel records.

The RoboCraftsman is an AI-driven robotic manufacturing platform that forms thin-walled, high-temperature alloys without requiring traditional tooling. Unlike conventional manufacturing that relies on custom dies and molds, RoboCraftsman uses dual robotic arms controlled by AI-driven process models that can be reprogrammed by simply changing CAD files. This eliminates tooling delays and allows manufacturers to switch between different part geometries with minimal hardware changes. The system operates as a closed-loop process, with sensors continuously adjusting robot movements every four milliseconds to ensure accuracy, and can perform multiple operations—forming, cutting, scanning, and quality control—within the same cell.

Machina Labs' platform addresses critical challenges in aerospace and defense production where rapid iteration and customization are essential. Traditional manufacturing requires expensive, time-consuming tooling for each design change, making it difficult to quickly prototype and qualify new hypersonic structures and missile bodies. RoboCraftsman eliminates these delays by enabling design-to-part production in days rather than months, supporting rapid iteration and qualification for restricted and classified programs. Additionally, the system's portability—housed in ISO-standard shipping containers—allows manufacturers to decentralize production closer to where parts are needed, reducing logistics chains and enhancing supply chain resilience. The platform's digital tooling capability preserves complete process intelligence for each part, including toolpaths, sensor data, and quality assessments, which is critical for defense applications requiring traceability and repeatability.