๐ฎ. ๐ฉ๐ฎ๐ฟ๐ถ๐ฒ๐ฑ ๐๐บ๐ฝ๐ฎ๐ฐ๐:
โ Top Performers vs. Others
โ Top-performing scientists nearly doubled their output.
โณ Bottom third saw no gains
โณ But importantly, no harm was done.
โ Top performers use domain knowledge to filter AI suggestions.
โณ Resulted in the 90:10 performance inequality.
Yup, the reasoning Dialoge is derailing the model sometimes. QwQ for instance is suddenly switching to Chinese sometimes. Instruction following is a bit more tricky than for other models.
๐ฏ. ๐ช๐ผ๐ฟ๐ธ๐ณ๐ผ๐ฟ๐ฐ๐ฒ ๐๐๐ป๐ฎ๐บ๐ถ๐ฐ๐:
โ Addressing Morale Issues:
โ 82% reported reduced job satisfaction
โณ Due to decreased creativity and skill underutilization
โ Reskilling Imperative:
โ 71% of researchers planning to reskill
โณ Reskilling in AI as a tool usage
โณ And in evaluating AI-generated outputs
If you are a leader, you shouldn't ignore this paper from MIT for your business and your workforce. This research from a large U.S. firm's R&D department shows real-world effects of AI โ positive and negative.
These findings can be adopted by other businesses and departments as well. ๐งต
#AI #ML
๐ฏ. ๐ช๐ผ๐ฟ๐ธ๐ณ๐ผ๐ฟ๐ฐ๐ฒ ๐๐๐ป๐ฎ๐บ๐ถ๐ฐ๐:
โ Addressing Morale Issues:
โ 82% reported reduced job satisfaction
โณ Due to decreased creativity and skill underutilization
โ Reskilling Imperative:
โ 71% of researchers planning to reskill
โณ Reskilling in AI as a tool usage
โณ And in evaluating AI-generated outputs
๐ญ. ๐๐ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ถ๐ป๐ด
โ Boosted overall performance:
โ AI-assisted researchers discovered 44% more materials
โ 39% increase in patent filings
โ 17% rise in product innovation
โณ AI uplifts productivity
โ Novel Discoveries:
โ AI-generated compounds were more novel
โณ AI enhances creativity and innovation
What does this mean for your business?
AI offers significant benefits but also presents challenges that require careful management. Leaders must ensure a positive impact on both innovation and workforce satisfaction.
Iโve tested the new llama 3.3 70b ๐ฆ and the instruction following so far is magnifique. ๐
Iโve seen the benefits in software development, but not the downside, though. I assume because R&D is more purpose driven in form of the design and investigative work, which now shifts into a human as a judge role.
aidantr.github.io/files/AI_inn...
๐ฎ. ๐ฉ๐ฎ๐ฟ๐ถ๐ฒ๐ฑ ๐๐บ๐ฝ๐ฎ๐ฐ๐:
โ Top Performers vs. Others
โ Top-performing scientists nearly doubled their output.
โณ Bottom third saw no gains
โณ But importantly, no harm was done.
โ Top performers use domain knowledge to filter AI suggestions.
โณ Resulted in the 90:10 performance inequality.
