Marco Herzog

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.

I’ve tested the new llama 3.3 70b 🦙 and the instruction following so far is magnifique. 👌

I’ve 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...

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.

𝟯. 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀:

☑ Addressing Morale Issues:
→ 82% reported reduced job satisfaction
↳ Due to decreased creativity and skill underutilization

☑ Reskilling Imperative:
→ 71% of researchers planning to reskill
↳ Reskilling in AI as a tool usage
↳ And in evaluating AI-generated outputs

𝟮. 𝗩𝗮𝗿𝗶𝗲𝗱 𝗜𝗺𝗽𝗮𝗰𝘁:

☑ Top Performers vs. Others
→ Top-performing scientists nearly doubled their output.
↳ Bottom third saw no gains
↳ But importantly, no harm was done.
→ Top performers use domain knowledge to filter AI suggestions.
↳ Resulted in the 90:10 performance inequality.

𝟭. 𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴
☑ Boosted overall performance:
→ AI-assisted researchers discovered 44% more materials
→ 39% increase in patent filings
→ 17% rise in product innovation
↳ AI uplifts productivity

☑ Novel Discoveries:
→ AI-generated compounds were more novel
↳ AI enhances creativity and innovation

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 — positive and negative.

These findings can be adopted by other businesses and departments as well. 🧵

#AI #ML

𝟯. 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀:

☑ Addressing Morale Issues:
→ 82% reported reduced job satisfaction
↳ Due to decreased creativity and skill underutilization

☑ Reskilling Imperative:
→ 71% of researchers planning to reskill
↳ Reskilling in AI as a tool usage
↳ And in evaluating AI-generated outputs

𝟮. 𝗩𝗮𝗿𝗶𝗲𝗱 𝗜𝗺𝗽𝗮𝗰𝘁:

☑ Top Performers vs. Others
→ Top-performing scientists nearly doubled their output.
↳ Bottom third saw no gains
↳ But importantly, no harm was done.
→ Top performers use domain knowledge to filter AI suggestions.
↳ Resulted in the 90:10 performance inequality.

☑ Boosted overall performance:
→ AI-assisted researchers discovered 44% more materials
→ 39% increase in patent filings
→ 17% rise in product innovation
↳ AI uplifts productivity and innovation

☑ Novel Discoveries:
→ AI-generated compounds were more novel
↳ AI enhances creativity and innovation

Oh Yhea, I agree. I think the tricky part is that a really big user base, I would argue the majority of users, will be totally not aware of it for a longer time.

Or simply prompt to vid:

It has Voice Control Magic:

It does Native Camera Cuts, Smooth Special Effects:

It does image2video with face expressions:

It can do image2video with movements:

Tencent open sourced this, Impressive! But I think we need to start talking about AI generated content detection on social media more seriously …

This open source is 🤯

More content with other capabilities in 🧵
aivideo.hunyuan.tencent.com

A new golden age of discovery In this essay, we take a tour of how AI is transforming scientific disciplines from genomics to computer science to weather forecasting. Some scientists are training their own AI models, while...

This essay from DeepMind is something you shouldn't miss, it made me very excited about the future of science.

A new golden age of discovery
Seizing the AI for Science opportunity

deepmind.google/public-polic...

#AI #ML #Science

If this is not telling an interesting story, than what does?

Accenture makes more money with GenAI than OpenAI.

GenAI revenue:
OpenAI: $3.4bn
Accenture: $3.7bn

I’m still thinking what that means…

Unveiling the true inspiration behind the ‘attention’ operator in Transformers! From Bahdanau’s emails to Karpathy, we learn how attention transformed neural networks. Surprising that ‘Attention is All You Need’ outshines its predecessor by Bahdanau et al. #AI #ML #Transformers

Actually it would be possible with a browser plugin. It could track the views, clicks on the post, engagement etc. and filter the discovery feed based on the historical data.

Yeah, I agree. It’s supposed to do that when you click the choose “Show more” or “Show less” of it, plus likes. However, it seems to be very slow or not working properly. I was considering making one myself, but it’s not possible because I don’t have access to stats about impression rates.

You can pin it. I’m using it very often. It has positive and negative filters.

I created a feed that works quite well. Maybe you like it.

bsky.app/profile/marc...

Super nice, it's going to be great to have you in the list soon.

Hey Walid, I just checked your reply history which mostly consists of starter pack requests. Feel free to come back when your content is primary about AI and your interacting with the AI community.

So many questions. Why leaving threads? Why don’t uncringe your LinkedIn, and did you mean Substack?

😁

But I was seeing your content without the dog. I needed to check your profile to understand what you meant.

One big benefit of Bluesky is creating and following custom feeds.

Cursor vs Windsurf

I just spent a week deep-diving into Cursor and Windsurf, so you don’t have to.

Here's everything you need to know 👇🧵