Global Personal Ai = The 3rd Self + The 7th Sense + The 5th Dimension

When an always on via a 4D time based typology + a 5D UI ( a controlling system over not only time but all other physical dimensions ) then our 3D world ( in ear ) products and interfaces via voice are here. With full voice always on processing we are again in the early days of Apple: a new usable everywhere, economically viable product line that starts right with schools and basic consumer user needs. But How? Examples like The 3rd Self technology and products like Tiiny Ai are an excellent example of such a convergence and Nature Magazine in Ultrasound To Read Minds - Does the science stand up? " shows the exact path how it will happen. But it's MIT that will win. Just like Xerox PARC did with the GUI, Ethernet, Post Script Printing, The SmallTalk object Oriented Program language. Convergence always wins.

We can see this in it's early stages is from 2001 with The 3rd Self Architecture by iGNITIATE and here on our site detailing a real time interactive training data processing via Galvanic Skin Response (GSR) / skin conductance Electrodermal Activity (EDA) utilizing simple electronics plus basic software running on a Palm Pilot to act as a sensitive, real-time indicator of psychological or physiological cognitive load for training systems. This incredibly simple system was implemented in the tangible designs of OM - The Outlook Monitor fr Fujitsu in 2006 and slimmed down to a tiny, mono functionality hand held device the same year.

Due to the necessary processing to handle more robust datasets The 3rd Self System via OM was modified for sports applications only utilizing a fraction of The 3rd Self system architecture's over all capabilities then later in 2021 and just before the end of Covid where The 3rd Self System was the basis for TEDx Rome's Third Self  launch as detailed on LinkedIn where we see the natural conclusion of the above, yet the Ai explosion yet to take place starting in early 2002 R&D efforts.

By 2015 MIT's media lab was pulling together these and other disparate technologies as new hardware systems began to emerge and specifically nVIDIA's Ai chip architectures made the processing power necessary for robust signal processing, ML and Ai inference models to take place on the desktop. Enter MIT's AlerEgo lab in 2018. For years MIT's AlterEgo Silent Speech processing capability and later in 2025 with the spin-out of AlterEgo had a slimmed down 2018 rather cumbersome technology with a 92% accuracy via large PC's / servers necessary to run the system ( think Xerox PARC's Alto system in the 1980's and 20 years after " The Mother of All Demos " on YouTube from 1968 by Douglas Engelbart, the god father of modern computing and where like Englebart who created his technology based on more than 10 years of R&D inside DARPA and ARPA labs is where we see the same trajectory of the AlterEgo system today.

By the time MIT in early 2025 had created a paired down device like Alter Ego to be coupled with a custom lightweight computer needed to run it's CNNs and BiLSTMs models for processing and interpreting  neuromuscular signals from the user's face and neck, still this was a chunky device. Lab Technology. Revolutionary Lab Technology. By 2024 and later in March 2026 with the incredible launch of Tiiny Ai on Kickstarter which is an external pocket off line 128B parameter separately battery powered juggernaut Ai system that can fit in a pocket. Thus again we see still fully realizable 0.5 ; 1 ; 3 ; 5 ; 10 ; 20 year R&D and NPD or R&D^3 or R&D cubed product development timelines similar to the iPhone, Commodore 64, iPad, etc., and the radical changes in computing that come from that.

But what this does not rule out is patent and trademark pincer moves similar to in billions Season 7, Episode 7 where Michael Prince tells Dr. Mark Ruloff he will put him out of business by buying up everyone else's adjacent technology, patents and trademarks, filing his own patents and trademarks and putting the scientists work and company out of business. Enter Merge Labs started by Sam Altman and OpenAi utilizing unrelated yet comparable read and write brain activity using ultrasound technology technology and as described in Nature Magazine and with the emergence of newly, highly experimental Neuromorphic Computing Hardware technology at least 10 to 20 years away, we see the full emergence of The 3rd Self via Silent Speech.

The big question: how will firms in the future adapt to and enable their staff via such a technology ? Will system such as this ever not monitor thoughts, emotions and psychological responses to external stimulus ? Will the system return responses with ultrasound, reverse Galvanic Skin Response (GSR) / skin conductance Electrodermal Activity (EDA) skin response technology ? When the lines blur between thought and action And certainly without physical use switches not being possible with any such technology as the above will state of the " Art " always on, an Ai being just a pencil or a pencil always drawing ?

 

                    

   

View all of iGNITIATE's Design, iNNOVATION and iNSIGHTS here

   
      

###  

...........................................................

   

   
#iGNITIATE #Design #DesignThinking #DesignInnovation #IndustrialDesign #iGNITEconvergence #iGNITEprogram #DesignLeadership #LawrenceLivermoreNationalLabs #NSF #USNavy #EcoleDesPonts  #Topiade #LouisVuitton #WorldRetailCongress #REUTPALA #WorldRetailCongress #OM #Fujitsu #Sharing #Swarovski #321-Contact #Bausch&Lomb #M.ONDE #SunStar #USPTO #EUIPO #WIPO

 

 

Innovation Interrupts Mean Disruptive Detours

Where it's often assumed that innovation divergence and convergence is the only dimensional direction alternative deign typologies can take, it's all down to proportional balance.

In the constant push to see that prevalence of disruptive works either increases or decreases so as to point to levers that are explicit in effecting breakthroughs in highly disruptive science and technology mean an equal portion of churn and shifting interests of funders and as well as scientific ‘ripeness’ even when it isn't a matter of seasonal cycles rather disruptive work being given air to breathe.

And in the quarterly market the idea of Papers And Patents Are Becoming Less Disruptive Over Time we see an incredible statistical correlation between when agencies make riskier and longer-term bets the time to to step outside the fray, pushing to unknown directions without perishability means consequential output is not only birthed from the either but in ways that it's only see in alternate cycles yet to spin up. Where the vortexes of alternative industrial application see the eddies in close by activity, innovation and breakthroughs occur more often than expected and certainly in the design world with tools that were before Ai, not even possible with output that would be usable in any reasonable time windows. Now, without even almost a thought. And this is just in the visual and 3d / 4d worlds. Where disruption is happening now, is between all of these dimensions and all at the same time.

 

                    

   

View all of iGNITIATE's Design, iNNOVATION and iNSIGHTS here

   
      

###  

...........................................................

   

   
#iGNITIATE #Design #DesignThinking #DesignInnovation #IndustrialDesign #iGNITEconvergence #iGNITEprogram #DesignLeadership #LawrenceLivermoreNationalLabs #NSF #USNavy #EcoleDesPonts  #Topiade #LouisVuitton #WorldRetailCongress #REUTPALA #WorldRetailCongress #OM #Fujitsu #Sharing #Swarovski #321-Contact #Bausch&Lomb #M.ONDE #SunStar #USPTO #EUIPO #WIPO

 

 

 

Does Reflexive R&D Outperform Reflective & Critical NPD? Here's How.

When firms need to make breakthroughs it's not just awareness or vision that wins the day but full integration with or without computers that matters.

Reflective ( design & NPD ) thinking ( what has taken place and usually via an emotional state of being & awareness ) ; critical reflection ( focusing on on factual XYZ's ) ; and reflexive ( design & NPD ) thinking ( focusing on discernible patterns in past experiences ) and which can in some ways can be considered statistical patterns matching ( even pattern recognition ) is where, when this is applied to new product development initiatives ( typically between humans without the aid of generative or agentic computing ) is where we often we see completely different outputs in new design and new product development efforts and successes.

What becomes even more interesting is how all of these systems of action independently produce negligent leap frog or breakthrough moments until reflexive thinking in design-based learning process that integrate real time multi-dimensional ( meaning unexpected and non-linear reasoning and as easily understood from examples such as foreign language teaching and interactive systems ) capabilities take place. Random and non-linear opportunities ( even when specifically orchestrated ) are the tipping point to breakthroughs taking place. Is this as simple as randomness ? No. Is this effected by a completely unknown but slightly ( in some cases ) an emotional synchronistic mentality and/or organization - if such a thing can even be said? No. Then how are firms that make the most breakthroughs the fastest, but more importantly, with the most effective ability to enable change ( in a NPD, design, engineering ) able to do this with more ease ( less internal friction ) than others ? By effectively enabling paper based or artificial intelligence integration in design‑based efforts, with design thinking toolsets, and with creative and reflective thinking environments and opportunities.

In Effectiveness Of Ai Integration In Design‑Based Learning we see not only the primitives of raw functionality of design thinking, system thinking, new product engineering efforts, and even the ability of advanced R&D focuses to effect breakthrough success but where we also see formulaic models that can be applied to specific firms today that integrate internal awareness to hurdles that will immediately derail NPD efforts and that can easily translate into successful real world usage. And, where these capabilities can be utilized with or without computers, networks, electronics or any other typical tools past paper, pencil and a phone. However, enable the above, add in Ai systems that enhance the ability of Reflexive systems and processes functionality to occur quickly and easily, and breakthroughs, particularly in learning and retention of non-liner and unconventional processes quickly take hold, and innovation occurs at even greater rates.

 

                    

   

View all of iGNITIATE's Design, iNNOVATION and iNSIGHTS here

   
      

###  

...........................................................

   

   
#iGNITIATE #Design #DesignThinking #DesignInnovation #IndustrialDesign #iGNITEconvergence #iGNITEprogram #DesignLeadership #LawrenceLivermoreNationalLabs #NSF #USNavy #EcoleDesPonts  #Topiade #LouisVuitton #WorldRetailCongress #REUTPALA #WorldRetailCongress #OM #Fujitsu #Sharing #Swarovski #321-Contact #Bausch&Lomb #M.ONDE #SunStar #USPTO #EUIPO #WIPO

 

Responsible Ai = IP Integrated Ai ? Yes.

If a ( new Ai discovered material ) tree falls in the ( lab ) woods and no one hears it, does it make an ( IP ) sound ? Of course it does.

With the ever increasing space that Ai systems, autonomous agents and integrated Ai code are expanding into, and as recently discussed in MIT Technology Review Ai Materials Discovery Now Needs To Move Into The Real World we are seeing ever increasing situations where Ai is not only validating and extending scientific principals but also where for the 1st time in history, we are seeing situations where specific new breakthroughs are taking place directly due to the output from automated Ai discovery, materials science robotic based experimentation and of course self generative coding systems. The question then is, at the speed and ferocity that these new Ai systems are able to create, and even artistically, build new physical experiments ( in the case of new materials R&D ) having these experiments running in labs is where the value to those that move R&D to production the fastest greater than or less than the patentability of said new breakthroughs?

When automated Ai materials science labs start pumping out scientifically validated materials never seen before and then automatically or with minimal human assistance submitting these efforts for patenting this then begs the question that Ai is automatically or mechanically becoming responsible for the IP protection that goes along with the discovery of new materials ( which may and can be used in enormous quantities ) and this is of enormous value to the firms that are not only using these new materials but also the labs that are producing said Ai augmented if not fully autonomously efforts.

Where we see more and more corporate, government, and large organization groups turning away from Ai as purely a generative and summary engine and onto to a system for unbiased scientific analysis, we see the further exploitation of a method for creating breakthroughs and as directly connected to the triumvirate of innovation: design + R&D + engineering generating IP ( which is protected via legal means ) and then offered to clients of said organization as a defensible part of business operations against external competitors. In modern parlance this is often referred to as the " moat " model of NPD and engineering efforts and as further examined in Evaluating Large Language Models in Scientific Discovery we see the exact value of such a system and process can create for legacy innovation organizations.

Where this then becomes a further power is in the consistent efforts to create and deliver industrial and consumer breakthroughs where the full ( or even partial ) integration of Ai systems into the international IP ecosystem of organizations such as the World Intellectual Property Office - WIPO, the European Union Intellectual Property Office - EUIPO and other such organizations on each of the world's continents takes place. Examples of this are in the power of Ai to limit international trademark trolling, patent infringement, and counterfeit goods similar to the integration of web based, mobile based and block-chain based technologies had similar effects in past technological adoption curves.

                    

   

View all of iGNITIATE's Design, iNNOVATION and iNSIGHTS here

   
      

###  

...........................................................

   

   
#iGNITIATE #Design #DesignThinking #DesignInnovation #IndustrialDesign #iGNITEconvergence #iGNITEprogram #DesignLeadership #LawrenceLivermoreNationalLabs #NSF #USNavy #EcoleDesPonts  #Topiade #LouisVuitton #WorldRetailCongress #REUTPALA #WorldRetailCongress #OM #Fujitsu #Sharing #Swarovski #321-Contact #Bausch&Lomb #M.ONDE #SunStar #USPTO #EUIPO #WIPO

 

 

 

Agentic Innovation Means IP Independence ? Here's how

When guiding how Ai delivers exact expertise in innovation efforts, there are ways to not only bring out the best in unexpected path investigations but also ways to use the unexpected to see around corners not previously imagined. But how ?

With Agentic innovation, and via constraint-based brainstorming, there are way to achiev IP independence by producing non-obvious outputs free from prior art and as detailed Out-Of-The-Box Thinking For Sustainability
with such systems as "must use magic" or "created by a six-year-old" to force divergent thinking beyond established frames of reference and Ai analysis and in that generating protectable concepts without reliance on licensed IP. More even in the idea of " protective concepts " as guidelines for types of thinking and directions that can be and will be embedded in Third Self or agentic functional systems.

This is even more interesting within the use of Ai in " Fanciful constraints " to or even patent searches, enabling de-novo IP and where interdisciplinary teams can surfacing core themes like empathy and honesty, untainted by existing methods or Agentic systems where R&D units may begin to build sovereignty assets or classes of expertise that emerges from the analysis of existing person based experience data sets. When this mixing and remixing emerges as new directions for not only R&D investigations but for alternative use cases of existing R&D then true innovations have a way of unfolding in an Agentic investigation and experimentation environment.

Implement this for government and even military R&D we see constrained sessions to derive independent tech breakthroughs may be extendable to classing innovation models and divergent thinking exercises and where again Tight constraints could yield clean, defensible IP rapidly but where extensive use case evaluation needs to take place and not just in the chance situations where many academic and research based Ai systems that can analyze and even synthesize new output in tone and styles similar to the input data set but which still cannot fully ( and based on limited inputs ) create full novelty ( and even more scientifically usable ) directions. It is not as if Agentic Innovation is a fully and likely path to Means IP Independence and especially when these systems could be at some point self referential - the worry of any " thinking new " system that can only explore a certain data set no matter how big or small.

 

                    

   

View all of iGNITIATE's Design, iNNOVATION and iNSIGHTS here

   
      

###  

...........................................................

   

   
#iGNITIATE #Design #DesignThinking #DesignInnovation #IndustrialDesign #iGNITEconvergence #iGNITEprogram #DesignLeadership #LawrenceLivermoreNationalLabs #NSF #USNavy #EcoleDesPonts  #Topiade #LouisVuitton #WorldRetailCongress #REUTPALA #WorldRetailCongress #OM #Fujitsu #Sharing #Swarovski #321-Contact #Bausch&Lomb #M.ONDE #SunStar #USPTO #EUIPO #WIPO