Google’s Gemini transparency cut leaves enterprise developers ‘debugging blind’
Why is Google hiding Gemini's reasoning traces? The decision sparks a debate over black-box models versus the need for transparency...
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Ben Dickson
15:24
The ‘era of experience’ will unleash self-learning AI agents across the web—here’s how to prepare
AI visionaries predict an 'Era of Experience' where AI learns autonomously, and it will have important implications for application design...
Ben Dickson
15:21
When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems
Not all AI scaling strategies are equal. Longer reasoning chains are not sign of higher intelligence. More compute isn't always
Ben Dickson
09:20
How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)
A 1B small language model can beat a 405B large language model in reasoning tasks if provided with the right
Ben Dickson
13:19
OpenAI responds to DeepSeek competition with detailed reasoning traces for o3-mini
By showing a more detailed version of the chain of thought of o3-mini, OpenAI is closing the gap with DeepSeek-R1...
Ben Dickson
00:20
Beyond benchmarks: How DeepSeek-R1 and o1 perform on real-world tasks
o1 is slightly better at reasoning, but DeepSeek-R1 provides much more details about its reasoning, which is very useful to
Ben Dickson
23:20
OpenAI’s o3 shows remarkable progress on ARC-AGI, sparking debate on AI reasoning
o3 solved one of the most difficult AI challenges, scoring 75.7% on the ARC-AGI benchmark. But does it really mean
Ben Dickson
20:19
DeepMind’s Talker-Reasoner framework brings System 2 thinking to AI agents
Talker-Reasoner is inspired by the two-system thinking cognitive framework proposed by Daniel Kahneman...
