Urgent.News

One page, thousands of outlets. See who else covered it.

Editions

AI

Saber CEO Matthew Karch apologises to writer he said he'd have "been happy to replace" with AI

Saber Interactive CEO Matthew Karch has apologised to Stella Sacco, the writer at the centre of the Rideshare Stimulator AI controversy , after publicly saying he'd have been "happy to replace her with AI". Read more

Saber CEO Matthew Karch apologises to writer he said he'd have "been happy to replace" with AI

Saber Interactive CEO Matthew Karch has issued an apology to Stella Sacco, the writer at the heart of the Rideshare Stimulator AI controversy, after he publicly expressed his willingness to replace her with AI. The news was conveyed to Eurogamer and shared on Sacco's Bluesky account, where she recounted Karch's unreserved apology in a long email overnight.

Sacco confirmed that the email was indeed from Karch, though the full text will remain between them. Karch expressed regret over escalating the dispute and the subsequent online harassment she faced. Sacco acknowledged that accepting the apology doesn't mean she condones his stance on AI usage in games, maintaining her position that Matt and she disagree on this matter.

Despite the apology, Sacco emphasized that it won't sway her stance on AI in the gaming industry. In a subsequent LinkedIn post, Karch reflected on the unspoken rules and expectations placed on modern CEOs, cautioning against public over-reactions and emphasizing the importance of direct, human-to-human resolution of disputes.

Written by urgent.news from Eurogamer's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at eurogamer.net →

More in AI

The Trillion-Dollar Problem at the Heart of the AI Boom

Take your pick of alarmist projections about the future of the global economy from top tech leaders. Monzo’s founder, Tom Blomfield, reckons unemployment will surge over the next five years as more…

  • AI adoption growing among small businesses
  • AI spending only 0.1% of total card transactions
  • Global AI spending estimates between £100B and £150B

Quoting Dario Amodei

I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks.

How Much VRAM Do You Really Need for Local LLMs?

The VRAM equation explained: quantized model sizes, real 2026 GPU options, and the 'can I run it?' answer for any local model. Can You Run It?

  • VRAM needed for 7B parameter model at 16-bit = 14GB
  • Quantization to 4-bit reduces 7B model VRAM to 7GB
  • 70B model Q4 precision needs ~40GB VRAM, plus additional memory

More from Sunday 16 August →