Anthropic

These days writing code feels almost too easy. Tools like GitHub Copilot or Claude Code can spit out a full function in seconds, finish a line you’re...

Most teams that are tinkering with AI end up hitting the same snag: juggling a dozen models, APIs and home-grown tools without the whole thing...

When Canva dropped its latest update, the buzz was all about an AI-powered Creative OS that tacks on a bunch of new tools and opens up the Affinity...

When I look at Expedia’s AI efforts, they feel more like a quiet rehearsal than a flashy stunt.

Meta’s AI group seems to be eyeing Google’s tensor processing units as a possible fallback to NVIDIA’s silicon.

When I first saw Moonshot’s K2 Thinking pop up on the repo, it felt like the open-source crowd finally got a serious contender.

When you’re pulling together a dozen code snippets or sifting through a dense research paper, a model that can actually remember its own reasoning...

Most single-agent setups still lean on Group Relative Policy Optimization, or GRPO.

Reflection, a startup that only rolled out three months ago, just closed a $2 billion funding round.

When we ask a large language model a question, the exact wording can nudge the answer in subtle ways.

These days the tools we use to write code feel almost like teammates - they suggest completions, catch bugs, even draft whole functions.

When Anthropic teamed up with the UK’s AI Security Institute and the Alan Turing Institute, they ran a set of tests that kind of surprised me.

Zendesk just rolled out AI agents that, according to the company, can handle roughly 80 % of customer-support tickets without human help.

These days the headlines are full of stories about AI models that keep getting bigger, think parameters in the trillions.

I keep catching developers with a ChatGPT, Claude, or Gemini tab open, like a coworker who never sleeps.

On October 13, 2025 Andrej Karpathy pushed a new repo called nanochat. It’s a PyTorch-based language model that squeezes most of its logic into about...

David Sacks, the White House’s self-styled “AI czar” and a venture-capitalist, just took a swipe at Anthropic on X.

We’ve seen a new paper that says slipping just one sentence into a prompt can make large language models noticeably more varied.

Anthropic just introduced something they call Agent Skills, which basically lets Claude pull in procedural knowledge and niche expertise.

On Wednesday Anthropic launched Claude Haiku 4.5, pitching it as a slimmer cousin of its flagship.