Paramount And Mattel Ink Consumer Products Deal For ‘Teenage Mutant Ninja Turtles’
#News #Consumerproducts #Mattel #Paramount #TeenageMutantNinjaTurtles
Paramount And Mattel Ink Consumer Products Deal For ‘Teenage Mutant Ninja Turtles’
#News #Consumerproducts #Mattel #Paramount #TeenageMutantNinjaTurtles
Man uses the shoe aisle to perfectly explain why middle-class Americans are hurting
https://fed.brid.gy/r/https://www.upworthy.com/fast-fashion-garbage-shoes-ex1
Paramount Installs Marvel, Disney & Mattel Alum Josh Silverman As President Of Global Products & Experiences
#Executives #News #Barbie #Consumerproducts #Disney #JoshSilverman #Marvel #Mattel #Paramount
The very human need to communicate
Why lethal? Because of how we evolved to privilege speech over breathing. In most mammals, the larynx is high in the throat, keeping the airway and esophagus reasonably separate. In humans, however, the larynx descended to enlarge the vocal tract. This made for a more resonant cavity, enabling singing and complex speech, but it also created a shared pipe via which even small amounts of wrongly routed food could cause us to choke. But the evolutionary advantage of advanced communication outweighed the survival risk of occasional choking.
ChatGPT as the Original AI Error
That, however, is often an error. People no more want to chat with every device in their life than they want to have dinner with their Kitchenaid dishwasher. They just want those things to do what they were bought to do, and chat, too often, gets in the way. Consumers are increasingly wary of chat interfaces, wondering why they are appearing everywhere.
…
Compared to that, human banter—our compulsive, choking-inducing chatter—looks like evolutionary baggage that keeps distracting us. The true impact of LLMs may resemble electricity’s shift from stage-lighting novelties to silent, ubiquitous wiring—boring, invisible, and indispensable. Humans need to stop thinking about AI as chat, an artifact of the original chatbot error still leading things astray.
Overall, I am fully bought in that not everything needs a bolt-on chatbot. I also really like the framing of “tools” not “chatbots” or “agents.” That framing alone will help force the conversation (heh) if something needs chat as an interface.
Personally, I still think that this human interaction model actually leads to very interesting opportunities to consumer facing products. The need for humans to communicate is going to be leveraged for engagement – some for good, some for ill.
That initial insight that humans have a compulsion to communicate is the main insight exploited during the social media era and now likely going to continue to be exploited during the AI-consumer product era.
The question remains – hmw ensure that we also do good when leveraging a clear psychological itch that we scratch?
#ai #anthopomorphism #chat #chatbot #consumerProducts #dau #engagement #human #language #models #productDesign #productManagement
Expertise is required for real evaluation, yet we rely on human intuition
But what about the broader consumer market? When laypeople can’t meaningfully evaluate model quality, they default to what feels best, creating dangerous incentives for labs to optimize for subjective satisfaction rather than genuine capability.
This mirrors how we evaluate other complex systems we lack expertise to judge, like governmental performance. The US Federal Government employs approximately 2.9 million civilians as of May 2025. It’s one of the largest employers in America. I possess very little expertise to judge whether the President is doing a good job. Ditto for most laypeople within a country. This isn’t a critique of democracy. It’s merely an observation that we all routinely make judgements on things we have little expertise in. And that we do so largely based on intuitive impressions.
The AI That Feels Good Wins – by Varun Godbole and Dan Hunt
This is an interesting insight along with the increasingly larger amount of expertise required to resolve evaluation differences at the highest level of a domain.
For LLM consumers, the evaluation problem is even worse: innumerable conflicting benchmarks, unclear metrics, and rapid model releases. Faced with such complexity, people naturally choose the model that feels best rather than the one that’s genuinely most capable. This creates a dangerous misalignment where feeling good diverges from being good, and market dynamics reward the former over the latter.
Here’s an interesting thesis:
Sycophancy (telling people what they want to hear rather than what they need to hear) corrupts feedback loops. When models optimize for making users feel good rather than being genuinely helpful, they lose the ability to provide useful pushback, accurate assessments, or growth-inducing challenges. Users end up in pleasant echo chambers that actually diminish their capabilities over time.
I know this is true. However, we should be careful that there’s a jagged edge even here. Sycophancy is objectively defined as insincere flattery. In this case, intention is fundamentally human. We know we shouldn’t anthropomorphize LLMs. Yet, products work on human emotions. How might we resolve this interesting situation?
Let’s lay out some of the constraints:
So, are there better metrics that will attempt to align incentives here? I personally believe that vibes are powerful – especially in the case of consumer products. One way to workaround them is to tax them, assuming you can never fully work around them. Personally, I’ve been advocating for a confidence chip within LLMs for a while. The problem here is the large evaluation space that might not have strong evaluations to build in confidence. Personally, I think those should be treated as low confidence and furthermore highlighted to the user of the product. In fact, personally I think this will only lead to more engagement as the low confidence will require the human to further question both the confidence and the underlying evaluation.
It will allow for co-active engagement.
An opportunity to educate and level up the expertise of the user should never be wasted. This should be safely ignorable by a user on a journey with a rigorous time boxed outcome. However, for a high engagement consumer product, there are always users that will have time to level up!
#ai #alignment #consumerProducts #evaluation #expertise #models #productDesign #productManagement #sycophancy
Global Alcohol Ethoxylates Market
With applications in detergents, personal care, and industrial processes, alcohol ethoxylates demand is surging worldwide.
🔗 Read Full Report: https://www.kenresearch.com/global-alcohol-ethoxylates-market?utm_source=new&utm_medium=referral&utm_campaign=Hritika
#AlcoholEthoxylates #ChemicalIndustry #ConsumerProducts #KenResearch
Italian regional food: 25 of the best dishes
Editor’s Note: Si…
#dining #cooking #diet #food #Italiandiet ##foodproducts #business #businessandindustrysectors #consumerproducts #continentsandregions #dairyproducts #economyandtrade #EUROPE #Foodanddrink #fruitsandvegetables #Italia #Italian #ItalianDiet #italiano #italy #kindsoffoodsandbeverages #meatproducts #pastaandnoodles #Pork #southerneurope #Vegetables
https://www.diningandcooking.com/2194084/italian-regional-food-25-of-the-best-dishes-2/
The Era of Killer Robots is Here
#News #TechNews #UkraineWar #AutonomousVehicles #AI #Terrorism #ConsumerProducts