adcoleman6

On the contrary, it could be a deliberate attempt to augment or diversify the dataset.

The difference is less stark these days, with generative design being used for semiconductors.

Altering these features isn’t messing with evolution anymore than tweaking a CAD file that used genetic algorithms: it’s all math, 1s and 0s.

I think the major advancements are outside the textbox in this last year: video generation, robotic models like Helix, world models, Genie 3.

Even for text, Deepseek R1 was this year, and agentic and coding AI has made progress on length/complexity of tasks. The rise of MoE architecture in the open/local model space has made it possible to run useful models locally on hardware under like $2K, something I didn’t expect for a long time.

That seems risky because of hallucinations. Wouldn't Google+Adblock be a better call?

I’m assuming the viral vector can’t pass the blood-brain barrier.

Does ASML's investment portend a pivot to specialized, on-prem, enterprise models? No need to be the frontier general knowledge or even coding model, but instead an EU-based AI creator for things like chip design, pharma, automotive, etc?

EDA for chip design uses machine learning.

While I associate Mistral with LLMs, the electric design automation software used for planning and designing chips already uses machine learning/reinforcement learning for some approaches. AI could play an even greater role in chip design in the future.

Hi Andrew- I'd love to speak with you or someone on the team about the writing/video/content side. Would that be possible? Thanks.