Executive Summary

• Significant improvements in image and text generation
• Increased adoption in non-programming fields
• Ongoing debate about the ‘inflection point’ in LLM development

The Internet’s Verdict: 70% Hyped, 30% Skeptical

Recent Developments

Over the last six months, Large Language Models have made notable strides.

Forum Voices

Users have been experimenting with LLMs, pushing their limits.

I asked Gemini for a video of ‘pelican riding a unicycle in hyde park’ – I was blown away by the output

Others have expressed skepticism about the ‘inflection point’ in LLM development.

I wonder how much the ‘inflection point’ is a thing vs marketing.

Non-programmers have also seen benefits from LLMs in co-working tools and optimizations.

Technical Progress

While YouTube technical deep-dive context is unavailable, users have reported mixed results with models like Codex and GPT-5.5.

They definitely get something barebones up and running, but it’s far from a fully fledged application.

Focus Keyword: LLM Progress