Latest articles on AI, technology, and software development.
Qualcomm's latest NPU runs inference at 220 tokens per second, up from 70 a generation ago. That leap -- not a bigger cloud model -- is what's actually changing how AI features work on your phone in 2026.
On-chain tokenized Treasuries and other real-world assets have grown more than tenfold since 2024. The winners aren't crypto-native startups -- they're the same asset managers who already run trillions in traditional funds.
GDPR gives EU residents the right to have their data deleted. But once that data has trained a large language model, deletion isn't a database operation anymore — and regulators are done accepting that as an excuse.
The EU's Cyber Resilience Act and a wave of financial-sector rules are forcing companies to demand a full component inventory from every software vendor. Most organizations aren't ready to actually use one.
Enterprises are learning that sending every request to the most expensive model wastes money without improving output. Model routing sends each query to the cheapest model that can actually handle it.
Generative AI now touches roughly one in five new Steam releases. But the games that get caught using it undisclosed are losing awards, refunding sales, and watching their Steam scores crater — and developer sentiment on AI is falling, not rising.
Meta, Microsoft, Google, and Amazon are all building their own subsea cables for the first time. The reason is a physical constraint no software fix can solve: undersea cables are capped near 24 fiber pairs, and the ships that lay them are booked years out.
Northrop Grumman and Starfish Space are running commercial life-extension missions on real satellites for real money. Actual debris removal remains a government-funded demo, still years from its first paid contract.
AMD invests $5 billion in Anthropic, then sells Anthropic the chips that investment buys. Nvidia commits roughly $100 billion to OpenAI, tied to compute purchase agreements. This is not fraud — but the pattern is starting to look like the vendor financing that preceded the 2001 telecom bust.
AMD's new Robotics Partner Network charges no licensing or membership fees across all four tiers. That is not generosity — it is a bet that silicon attach rate matters more than software lock-in in physical AI.
Models like Qwen3-Coder, Gemma 3, and Phi-4 now run on a single laptop or workstation GPU and handle routine coding work well enough that many developers default to local-first, reserving cloud APIs for the hardest problems.
Multiple labs are now reporting dozens of error-corrected logical qubits instead of raw physical qubit counts — a sign the field has moved from proving error correction works to engineering it at scale.