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Special Report


       the data they are trained on and do not  fram Alfa, Ai.R MATH, etc. are a few  will do unimaginably good things, but
       just pick up existing information from  examples.  These serious problems  will also have the potential to destroy
       its database.                     are being rapidly ironed out in later  the very fabric of rules, guidelines,
                                         versions.  in 2028, we may not even  safety, trust, security, privacy, which
          Soon LLMs may be called Multi-  be using these clunky LLM which  we cherish. Even today, trust is dead.
       modal Ai or the like, and very soon   enthral us today.  That could happen  We cannot trust as evidence, a photo-
       all of them would not need to be   even by 2025.                   graph, a video with known people, a
       large. individual organisations will be                            signature, a document, a short phone
       able to use some of these Foundational    There are suspicions that the limi-  call from someone, etc.  They could
       Models to create small, powerful Ai  tations of the breakthrough archi-  all be fake. All metrics for trust have
       Models to run their organisations very  tecture associated with GPT – the  become untrustworthy  barring bio-
       differently, to do                                                               metrics.  That is a
       things which were     Would you not at least create a team within your           huge problem for al-
       considered to be    organisation to explore the various ways to use AI to        most every aspect of
       impossible now.  in   enhance competitiveness, and make it future ready?         our lives. People are
       2024, there will be a                                                            going to use GenAi
       proliferation  of Ais                                                            and sometimes on the
       from small and big organisations and  Transformers, which made Genera-  sly,  for  all good  reasons.  Wouldn’t
       by the year-end, many of the poorly  tive Ai possible – are being overcome  you take some steps now to improve
       funded ones will bite the dust, unless  with more  powerful  architecture by  security  and  trust,  rather  than  react
       they  are  designed  for  very  specific  Project Q* at openAi (no one really  after being hit by fraud?
       applications, which have relatively  knows, as it is top secret right now).
       small addressable market, as opposed  it is speculated to be Self Taught Rea-  Think of development of Ai as a
       the general-purpose  Ais, where the  soner (STaR), which will be even-  spectrum of higher and higher cap-
       big boys will thrive. Many companies  tually capable of using  Ais to train   abilities ranging from ‘Zero  Ai’ to
       and countries are working on their  other Ais, to quickly build capabilities.  ‘Expert’ to ‘Superhuman’ or ‘God-
       own  foundational  models  due  to  justifi-  Today, training of Models is costly  like’ and many levels in between.
       able FoMo. Would you not at least  and time consuming.  This will lead  We have made huge progress in
       create a team within your organisation   to the development of Ais, which are  Narrow AI to do some specific tasks,
       to explore the various ways to use Ai  much faster and more capable in ways  but more general things like ChatGPT
       to enhance competitiveness, and make  which  we  humans  cannot  imagine.  are only equal to or better than an
       it future ready?                  does that mean  Ais have surpassed   unskilled human being. GPT 4 has
                                         the levels of  intelligence  that humans   moved a step further to being bet-
          A GenAi like ChatGPT can tell  have? No, but it is likely to be a   ter than 50% of skilled humans. Mo
       you in a jiffy what aspects to cover  huge step towards the next level of  Gawdat, the former Chief Business
       in a seminar that you are planning  Artificial  General  Intelligence  (AGI).  officer of Google thinks ChatGPT
       for cardiac surgeons.  it does not   Humans have General  intelligence.  4.5  has  an  IQ  of  about  155. AI  has
       suffer from writer’s block and knows  AGi, which is the Holy Grail of Ai,  not yet reached the ‘Expert’ level
       nothing about seminars or cardiology.  is not there yet, but not far away. in  (defined  as  better  than  90%  of
       There are others which claim to be as  2020, AGi was thought to be at least  humans  at  a wide  range  of  general
       good or better – Claude, ChatSonic,  50 years away; in 2022, the estimate  tasks and common sense). Expert level
       Jasper Chat, Bard  Ai,  Bing Ai,  etc.  was 30-40 years away; in September  AGi could happen as early as 2028
       The problem is that GenAi tools feel  2023, the  year varied between 2027  because Ai capability is doubling
       obliged to spew out words even if it  and  2035,  depending  on  who  you  or tripling each year. imagine an Ai
       does not know the correct answer. it  talked to and depending on what Level  with an IQ of 310 (=2x155), which is
       suffers from biases that the training  of AGi.  in  december 2023, we will  nearly twice that of Einstein (162).
       data has and has no real intelligence  say that bits and pieces of it is pos-  That could be the ‘Singularity’
       to understand many topics.  it can  sible in 2025, but it will match most  moment when machines will be smarter
       generate objectionable content, hal-  human beings, for many practical  than most humans.  it is difficult to
       lucinate, etc. Many Ais are working  purposes in 2028.  When it happens,  predict  when Ai  could  have Super-
       on improving math capabilities. Wol-  it will be the ‘singularity’ moment. it  human capabilities (2055 or 2075 or


       174                                                                   Chemical Weekly  January 30, 2024


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