Search and filter through extracted claims from AI researchers.
Showing 1-20 of 26 claims in topic "infrastructure" of type "prediction"
About $4.4K is sufficient to reach the performance of Qwen2-1.5B based on the Puro Cost Scaling Law
"the fitted law suggests that about \$4.4K, less than \$5,090, is sufficient to reach the performance of Qwen2-1.5B"
"a software-hardware co-design approach, where deployment constraints are considered from the start of the design process, ensuring that the "right model" runs on the "right hardware" to serve the "right application", making generative AI deployment sustainable and accessible across a much broader range of platforms"
OpenAI's Jalapeño chip will start deploying by year-end
"It starts deploying by year-end."
Waves may become a new computational primitive for neural networks
"why waves may become a new computational primitive for neural networks"
"the future belongs to specialized models built on private company data rather than general-purpose ones"
Big tech companies might be more screwed than expected given how toxic data centers have become
"at this point the big tech companies might be more screwed than I thought, given how toxic data centers have become"
"We believe human level capabilities of intelligence will be fully commoditized by open source models, while super intelligence will likely not be."
"The compute needed to be at the frontier of the current model recipe is going vertical, and as the world accelerates along the axis of Recursive Self Improvement this will only become more evident."
Anthropic's AI detector will be trivial to defeat by iteratively modifying text until it passes
"My hunch is this will be trivial to defeat: generate text, run it through Anthropic's own AI detector tool, then modify words until that AI detector passes"
"Nvidia is releasing a new version of its truly open-source (not just open-weight) Nemotron model, which is good for end users and developers but that could also ultimately undercut places like OpenAI and Anthropic with whom it has deals."
AMD's acquisition of Taalas points to a future where inference is fast, free and ubiquitous
A single discovery could undermine the need for megascale data centers
More companies will identify token generation as a source of value over time
In a bust scenario, Nvidia's collateralized chips would be worth a fraction of their current value
Frontier labs will have a margin advantage on open models for the foreseeable future
Pipeline data may be stale or degraded.
Last synthesis: 2026-09-20. 8,949 pending.