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OpenAI ’s next - coevals Orion model ofChatGPT , which is bothrumoredanddeniedto be arriving by the end of the class , may not be all it ’s been hyped to be once it make it , according to a newfangled theme fromThe Information .
Citing anonymous OpenAI employees , the report claim the Orion model has shown a “ far smaller ” improvement over its GPT-4 predecessor thanGPT-4 showed over GPT-3 . Those sources also note that Orion “ is n’t reliably better than its predecessor [ GPT-4 ] in handling sure tasks , ” specifically coding app , though the new model is notably stronger at general language capabilities , such as summarizing documents orgenerating emails .
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The Information ’s report summon a “ dwindling supply of high - caliber text edition and other datum ” on which to train raw model as a major factor in the new model ’s insubstantial gain . In short , the AI industry is chop-chop running into a training data chokepoint , having already stripped the leisurely germ of social media datum from sites likeX , Facebook , and YouTube(the latter on twodifferent occasions . ) As such , these party are increasingly having difficulty finding the form of knotty taunt challenges that will help advance their models beyond their current capabilities , slow down their pre - release grooming .
That decreased training efficiency has massive bionomic and commercial-grade implications . As frontier - class LLMs originate and further push their parameter counts into the high trillions , the amount of vim , water , and other resourcesis look to increase six - fold in the next decade . This is why we ’re seeingMicrosoft stress to restart Three Mile Island , AWS buy a 960 MW works , andGoogle purchase the output of seven nuclear reactors , all to leave the necessary power for their growing menageries of AI data centers — the land ’s current power infrastructure simply ca n’t keep up .
In response , as TechCrunch report , OpenAI has created a “ foundation squad ” to overreach the lack of appropriate preparation data . Those proficiency could involve using synthetical breeding data , such as whatNvidia ’s Nemotron family of modelscan generate . The team is also looking into improve the model ’s performance military post - training .
Orion , which was in the beginning thought to be the code name for OpenAI’sGPT-5 , is now expect to arrive at some point in 2025 . Whether we ’ll have enough available world power to see it in action , without embrown out our municipal electrical grid , remains to be seen .
