Andrej Karpathy described the pattern: “I ‘Accept All’ always, I don’t read the diffs anymore.” When AI code is good enough most of the time, humans stop reviewing carefully. Nearly half of AI-generated code fails basic security tests, and newer, larger models do not generate significantly more secure code than their predecessors. The errors are there. The reviewers are not. Even Karpathy does not trust it: he later outlined a cautious workflow for “code [he] actually care[s] about,” and when he built his own serious project, he hand-coded it.
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Tangled, a Finland-linked code collaboration platform, has closed a €3.8 million seed round aimed at scaling its decentralised Git collaboration network and positioning the company as a European alternative to entrenched US incumbents like GitHub. The round brings a mix of institutional and prominent angel support, anchored by community-led VC byFounders. Tangled is a decentralised […]