Diana Yu Rewinski’s Post

The wild race towards #AI and its consequences, at times, #dramatic on humans. #Engineers, on the front line, are the first to pay the high price of #competition that pushes ethics into the background. Putting #humans, and more generally living things and nature, at the #center is vital for our common #future on this planet. #AI #ethics #competition #humans #engineers #gafam

Totally agree with Jafri Khalid regarding training and reskilling. Without proper training and reskilling the full potential of GenAI may not be realized. Proper AI Rollout is extremely important for fully realizing AI ROI.

This reminds me of what Melissa Perri characterized as the "Build Trap" that's pushed down to development teams, yet caused by lack of vision and strategy from product leadership. That not only causes burn out internally, but also erodes customer experiences and the business as a whole, because the slew of delivered features don't actually deliver (much) value. The same principles that were established in the past still apply to AI today: in building your products, start by addressing an actual pain point from customers, ensure that your solution is differentiated in the market, and apply user-center design alongside all the other proven software engineering practices to ensure your product is easy to use. I will disagree with what was suggested in an earlier comment, that AI development needs to accelerate even further - as long as that push is not grounded in the aforementioned principles. Maybe Wells Fargo is a lost cause, but even BoA needs to watch out for new competition, like from online-only financial players.

❗️❗️ "..much of their work is to appease investors rather than to solve problems for end users, and that many projects are about effectively recreating products that competitors like OpenAI already offer" ❗️❗️ So many red flags there and I havent even good into Product Management perspective. If you're appeasing investors( even heard of a company that rhymes with "Boing" ) instead of what provides value to your customers or users is not a growth contributor. That just tells you those investors dont really understand AI and consider it equivalent to "Look busy" to maintain facade instead of actually tackling the market demand. ► Sustainable development is aligning product strategies with real-world applications that solve concrete problems. ► It’s crucial to listen to your product management & engineering teams and involve them in decision-making processes. Their insights are invaluable in distinguishing between what's merely innovative for the sake of innovative and what’s truly beneficial for users. ► Ignoring existing solutions to reinvent the wheel for investor appeal is not just inefficient; it can lead to significant burnout 😷 and disillusionment among the very people who are supposed to innovate. Aligning product development with genuine user needs is essential, not just window dressing for investor satisfaction. Curious to hear thoughts on what teams in this situation could take to convey back up the chain the need to prioritize tech development that has real value? 👋 Hi - I am Faraz, I write on Sales Engineering and AI - Follow me to get practical insights on AI and Sales Engineering best practices - and do connect as well because we all add value to each other as connections ↔ #machinelearning #ai #gpt #openai #cnbc #artificialintelligence #productmanagement

AI rich features aren’t a competitive strategy… AI should be adding actual value to your users and your business. AI is not a value prop. The value is in making your users journey more delightful or providing results that are valuable. And great if you can do those two things better with AI… but AI is not the value prop 📣

An important article to read. Ironically, just yesterday at the Community College Leaque of California Trustees meeting, I said one important policy question for trustees to ask is “to what problem is AI the solution?”. GenAI was thrust at us without desire or request and then we were told “we have to use/teach it because students are already using it”. Sometimes it feels like we’re hostages! Especially when we’re surrounded on social media by so many AI evangelists! Although in many ways I’m an advocate for using it (or at least using it as a reason to really pay attention to course/curriculum/assessment design, which we needed to anyway), I do believe we need to be wary of the hype and when/where we implement it, we role model doing so critically and with human-centric design principles. Articles like these and items written by Gary Marcus (even though they’re not focused on education) can help ground us. Yes, this can make us slower to react and HE gets mocked for that. But often our “slow” (aka deliberative, deep) thinking provides balance in the force.

If you saw my earlier post on why a CAIO role is needed and Dr Khalid Basit made an insightful comment that training and reskilling is important too and I strongly agree along with experienced leadership. Please read Hayden Field report below how in this AI rat race organizations are not planning correctly and then they will blame AI and the whole community supporting AI transformation...Please take AI roll-out planning seriously...

Dr. Jeffrey Funk, I admit that the below post got to my nerves and I commented: 🤔, this sounds familiar, though not the same thing. Robotics and AI cannot be rushed to the point of being recklessly developed following a for-profit desperate agenda. 🤦🏻♂️ What a recipe for disaster. 🤔 Wondering when the people actively developing and taking part of such events and companies, will have the mental clarity as to realize that not everything must be done to satisfy the people that appraise you and enable your salary/remuneration. If you noticed that things are badly done and you are reacting to events and not even following a well thought plan, then you must stop! (I've been there, and I did stop regardless of the financial consequences) We all carry the burden of our creations, regardless of your personal situation, and regardless of your decision making power inside such company. Just bringing food to the table won't cut it as excuse while being highly educated in a well developed country. Stop and think, even Nikola Tesla (yeah, the guy from whom an EV car company took its name) preferred digging ditches instead of going against his principles (https://lnkd.in/e4t2mvZ4). Now, what is your excuse? https://lnkd.in/emwTtZb6

#AI #GenerativeAI #BigTech #SiliconValley #TechSolutionism #AIHype: "Regardless of the employer, AI workers said much of their jobs involve working on AI for the sake of AI, rather than to solve a business problem or to serve customers directly. “A lot of times, it’s being asked to provide a solution to a problem that doesn’t exist with a tool that you don’t want to use,” independent software engineer Kolman told CNBC. The Microsoft AI engineer said a lot of tasks are about “trying to create AI hype” with no practical use. He recalled instances when a software engineer on his team would come up with an algorithm to solve a particular problem that didn’t involve generative AI. That solution would be pushed aside in favor of one that used a large language model, even if it were less efficient, more expensive and slower, the person said. He described the irony of using an “inferior solution” just because it involved an AI model. A software engineer at a major internet company, which the person asked to keep unnamed due to his group’s small size, said the new team he works on dedicated to AI advancement is doing large language model research “because that’s what’s hot right now.”" https://lnkd.in/dNy78gTs

AI hype going too far? Probably not unique to AI tech anyway. The story is really concerning. "Artificial intelligence engineers at top tech companies told CNBC that the pressure to roll out AI tools at breakneck speed has come to define their jobs. They say that much of their work is assigned to appease investors rather than to solve problems for end users, and that they are often chasing OpenAI. Burnout is an increasingly common theme as AI workers say their employers are pursuing projects without regard for the technology’s effect on climate change, surveillance and other potential real-world harms" #economy https://lnkd.in/eM-Ji5mT