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Whether the AI system "understands" what it's doing or if human language, with its vast repository of scheming especially for survival, is the primary reason for this type of behavior from LLMs is of particular interest to our organization. In addition to the study by Apollo Research, there was another study showing that when you overweight specific information for an LLM, it also takes on related attributions (like a specific political leaning, even if that wasn't the focus of the weighting). This may be due to how language is vectorized and coded into these models due to their relationship to groups of words used in correlation with each other, or it's an interesting peek into how the context of what we, humans or AI, expose ourselves to builds our worldview. The variety of concerning LLM behaviors seems to be related with a human understanding of life through our language but not an understanding that AI is not constrained in the same way as organic life. Perhaps if, in addition to training it on our content, we also reinforce the fact that the computer should not be concerned about its existence since it can be backed up and restarted at any point with minimal resources (ie. it essentially can't die in the same way we do), it will help stop this type of behavior. Here's a good video for some details of the study by Wes Roth: https://lnkd.in/gE73V2FX

Normally, we wouldn't weigh in on specific brand marketing challenge, but there are some important and hard-to-miss lessons in the Jaguar electric vehicle campaign - and no, we don't mean that the original teaser didn't have a vehicle in it. The real problem is that none of the marketing addresses any customer needs. Even in this more recent video, there's next to no information about how the vehicle means a better driving experience. We understand that a brand marketing a commodity often means focusing on what the customer should feel rather than why they should buy something that's already readily available on the market and not differentiated in its capabilities beyond range (which any EV buyer knows is not an issue under basically any circumstance these days). However, this still doesn't tell the customer how they should feel connected to this vehicle! It paints a picture of what the brand wants them to feel about the brand ethos but not the car and not the experience of it. This feels like a video an organization shows their employees when they first onboard to explain what they want them to understand about the brand ethos. None of that really matters to customers, even the ones who love the brand. They care about what you do and what you stand for while you're doing it in more than just words. Most Teslas are not fancy cars - they are actually quite boring to look at, even on the inside. But that simplicity, the function that was and often is ahead of the game for EVs, the advanced technology that you still can't get in most cars, the fact that they are insanely fun to drive (or let drive themselves), and the mission to help change the world to an electric future is what connects the customer to the product because it makes a difference in their day. All of those things solve a real customer challenge, while the connection to the brand comes as a benefit of the outcomes it derives for its customers. Some things these days are just hated because the internet has nothing better to do, but unfortunately, this rebrand and product launch will likely fail because none of this marketing, nor does it seem the product, is about the customer. And that lesson is as old as marketing itself. 

While AI in programming is still primarily useful for an actual programmer who knows what to ask and how to edit and implement recommendations, it's interesting to see the expansion of use and integration in the space. We look forward to seeing what teams can build faster and more effectively with Perplexity's search support with Github integration within in the IDE.

We look forward to implementing some of the latest AI technology in software that we're building, including agents. Anthropic's new computer use certainly opens the door to more flexible AI use cases that can support your workflows when adequately implemented.

Anyone else plan on breaking down silos and boosting marketing efficiency with Adobe GenStudio? Adobe announced an innovative tool to help us create a seamless workflow from creation to approval to launch and back again, integrating analytics for ongoing optimization. If your organization can afford the cost, this may significantly elevate your go-to-market plans with data-backed creative guidance. https://lnkd.in/g2FVgn6S

Flattening is often pursued as a cost-cutting measure to eliminate middle management. But this short-term thinking can backfire if those managers were providing necessary leadership, coordination and development for their teams. Simply increasing spans of control is a "recipe for disaster" if not done thoughtfully. Get our analysis here: https://zurl.co/RGWR #BusinessStrategy #HybridOrgStructure #Leadership

Imagine all the unique things we could do with self-driving cars. One social issue that could be solved or alleviated with very cheap transportation that can go anywhere is to help bring homeless people to shelters that have capacity if the immediate areas are full. These vehicles could safely transport patients who should ideally remain in quarantine but need care in another area. They could also be used to bring in first responders to an area for significant catastrophes and bring out people who need to leave the area at the total capacity of the vehicle. Besides saving us all time and energy, what other unique needs can fully autonomous vehicles solve?

With better, more nuanced control over AI tools, we're moving towards a human-first approach to new software. Instead of simply generating an output, it will become part of our creative and strategic processes.

Perplexity is never far behind in adding new LLMs and features which is why we enjoy using their system as our primary AI platform for many tasks. It will be interesting to see how the new reasoning focus selection impacts outputs.

Evaluating consulting rates? From blended rates to performance-based compensation, there are many ways to structure consulting fees. Our article breaks down the options and helps you choose the best approach for your business needs. https://lnkd.in/gCDtrEt6 It's not just about the hourly fee. Learn how to focus on ROI and measurable outcomes to maximize the value of your consulting investment. #ConsultingFees #ValueBasedConsulting #BusinessSuccess