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
