Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...

With rising DRAM costs and chattier chatbots, prices are only going higher. Frugal things you can do include being nicer to the bot.

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

CrowdStrike's 2025 data shows attackers breach AI systems in 51 seconds. Field CISOs reveal how inference security platforms ...

Deterministic controls in Agentforce aim to curb unpredictable behavior, but analysts warn the move adds operational burden ...

Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

The source of many disagreements is that people rely, often implicitly, on two radically different notions of “intelligence." ...

Here are just four of the industries that tokenization could transform in 2026 and beyond.