Today AI Trends on Reddit — 25/10/2026

Today AI Trends on Reddit — 25/10/2026

Top 8 posts across 8 AI / homelab subreddits — 25/10/2026.

• Revenue: $16.3B Net loss: $80.7B IPO valuation: $2T (r/singularity · 911 pts · 336 comments)
  Post presents figures of $16.3B revenue, $80.7B net loss, and a $2T IPO valuation. Commenters argue much of the loss is accounting, citing a $72B non-cash charge from convertible-loan equity conversion rather than cash owed.
• Dario Amodei, CEO of Anthropic, speaking out against the war in Iraq as a college student in 2003 (r/singularity · 863 pts · 165 comments)
  Video shows Anthropic CEO Dario Amodei as a 2003 college student speaking against the Iraq war. Commenters hope he still holds those views and contrast his apparent earnestness then with his current public demeanor.
• Altman: "I don't even know a dramatic enough word to use… models can find bugs that are outside of the normal threat model of what we think a hacker can do… hardware-level, insane stuff… I no longer think we're gonna be able to just patch all the bugs." (r/singularity · 702 pts · 284 comments)
  Post shares Altman saying AI models can find hardware-level bugs outside the normal hacker threat model, making him doubt all bugs can be patched. Commenters discuss inherently broken digital systems and possible isolated, segmented networks and trust models.
• It turns our RTX 4090 is also software performance capped – AI is going to revolutionize software stack we were stuck at (r/StableDiffusion · 660 pts · 236 comments)
  Post claims the RTX 4090 is also software performance capped and links the gpu-unlock-ada GitHub repository, with the poster arguing AI will revolutionize a software stack that has been stuck.
• Absolutely crazy AI voice model by Block called Dessa. (r/singularity · 633 pts · 172 comments)
  Post highlights an AI voice model from Block called Dessa as absolutely crazy and links Block's Dessa demo page. No further technical details are provided in the post body.
• Qwen4-27B PR found (r/LocalLLaMA · 591 pts · 216 comments)
  Post cites a vLLM XPU kernels pull request as evidence of Qwen4-27B and notes the author's Intel and vLLM contributions, possible Alibaba or Zhejiang Lab connection, prior Qwen3.8 work, and non-decreasing KV cache size.
• Kimi K3.1 removes cyberattack training data from open weight release (r/LocalLLaMA · 585 pts · 184 comments)
  Post reports Kimi K3.1 removed cyberattack training data from its open-weight release, citing China's new export restrictions and growing caution over cybersecurity exploits. The linked source is Reuters.
• Meta trained small AI models to read raw bytes instead of tokens. They start out worse, but the paper predicts they end up better (r/LocalLLaMA · 395 pts · 124 comments)
  Post discusses a paper training ~1B-parameter models on raw bytes instead of tokens via distillation from Llama 3 8B. Token models initially win, but byte models keep improving; extrapolated curves predict they beat Llama 3.2 1B and Gemma 3 1B, needing about 6x less text.