Latest articles on AI, technology, and software development.
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.
Falling prices, rising solar attachment rates, and grid reliability worries have pushed home batteries from a niche add-on to a default line item on solar quotes — and increasingly a standalone purchase.
Agility Robotics' Digit has moved over 100,000 totes at a GXO-run Spanx facility since 2024. The economics behind that number reveal exactly where humanoid robots pay for themselves in 2026 — and where they still don't.
Honor's Magic V6 passed independent SGS testing at 500,000 fold cycles. Samsung and Google made real engineering leaps too. Here's what's actually different in the hinges shipping in 2026, and which durability claims are worth trusting.
IBIT options open interest hit $27.6 billion in April 2026, surpassing Deribit's offshore dominance. The real story isn't the milestone — it's what options-driven price discovery means for anyone still trading Bitcoin like it's 2021.
QuantumScape, Samsung SDI, Toyota, Nissan, and CATL all have solid-state EV battery timelines — and all of them have slipped. Here's where each program actually stands in mid-2026, and when a real solid-state EV will exist.
The first joint government guidance on agentic AI security breaks risk into five categories that map directly onto mistakes most teams deploying agents are already making. Here's what it actually requires.
In 2026, the real cost of running AI agents at scale isn't inference — it's the context you resend every request. Here's how the memory stack that replaced bigger context windows actually works, and what it means for anyone deploying agents now.
Gartner's prediction that most agentic AI initiatives will fail isn't about model capability. It's about companies automating broken processes and calling it transformation.