Automated interviews: why hiring needs transparency, audits and meaningful human oversight

When interviews become automated: why hiring needs more human judgement, not less “Almost half of UK jobseekers have found themselves pitching to an AI bot, according to recent research.” That line, reported in The Guardian, captures why automated and asynchronous hiring is not only speeding recruitment, it’s changing the experience of work for many candidates, […]

20% of Employed Americans Delegate Work to AI: A Practical Playbook for Leaders

20% of employed Americans report delegating at least one task to AI, but “delegate” needs unpacking A July 10-19, 2026 survey conducted for Epoch AI by Ipsos found that 20% of employed U.S. adults say they have delegated at least one work task to AI that previously went to a coworker or outside contractor. That’s […]

Custom AI Benchmarks: What to Verify Before Betting Your Automation Budget

When public benchmarks lie, your automation budget pays Many teams report the same disappointment: a model tops a public leaderboard, you deploy it, and production reveals slower responses, more retries, and unexpected human editing. Public benchmarks like GLUE or MMLU are useful for measuring progress, but they were not built to predict how a model […]

Anthropic Claude watermark: a useful forensic signal, not legal proof

Anthropic’s Claude watermark: a useful forensic tool, but not a legal stamp Anthropic laid out how it will embed subtle, machine-detectable patterns into Claude’s text to satisfy the EU AI Act’s Transparency Code. The company says the watermark will be invisible to readers, won’t degrade output quality, and will be detectable via a key-based API. […]

Reported Nvidia $250B Guarantee for OpenAI’s 10GW Ohio Campus — Risks and Board Actions

On Aug 15, 2026 the Wall Street Journal reported Nvidia was in talks to underwrite roughly $250 billion for OpenAI’s planned 10‑GW Ohio campus, a single contingent claim that would dwarf Nvidia’s prior disclosed guarantee exposures and force boards to rethink vendor risk. That one line explains why CFOs, general counsels, and data‑center planners leaned […]

Fine-Tuning Qwen3 with LoRA for Reliable Tool Calls: A Practical XYZ-Aquila-SFT Recipe

Fine‑Tuning Tool‑Calling LLMs: a practical Qwen3 + XYZ‑Aquila‑SFT SFT recipe This guide shows how to fine‑tune Qwen3 with LoRA so it reliably emits structured tool calls from the XYZ‑Aquila‑SFT trajectories while preserving in‑turn reasoning (<think> blocks). Follow the pipeline and you’ll get a reproducible set of structured JSONL artifacts, a corpus stats report, and a […]