Subj : AGI is a pipe dream until we solve one big problem, AI experts sa To : All From : TechnologyDaily Date : Tue Dec 09 2025 11:00:08 AGI is a pipe dream until we solve one big problem, AI experts say, even as Google celebrates Gemini's success Date: Tue, 09 Dec 2025 10:46:15 +0000 Description: At NeurIPS 2025, leading experts warned that scaling up language models wont bring AGI any closer without a radical overhaul of how AI learns and reasons. FULL STORY ======================================================================AI researchers at NeurIPS 2025 say todays scaling approach has hit its limit Despite Gemini 3s strong performance, experts argue that LLMs still cant reason or understand cause and effect AGI remains far off without a fundamental overhaul in how AI is built and trained Recent successes by AI models like Gemini 3 don't disguise the more sobering message that emerged this week at the NeurIPS 2025 AI conference: that we might be building AI skyscrapers on intellectual sand. While Google celebrated its latest models performance leap, researchers at the worlds biggest AI conference issued a warning: no matter how impressive the current crop of large language models may look, the dream of artificial general intelligence is slipping further away unless the field rethinks its entire foundation. All agreed that simply scaling todays transformer models, giving them more data, more GPUs, and more training time, is no longer delivering meaningful returns. The big leap from GPT3 to GPT4 is increasingly seen as a one-off; everything since has felt less like breaking glass ceilings than merely polishing the glass. Thats a problem not just for researchers, but for everyone being sold the idea that AGI is around the corner. The truth, according to this year's scientific attendees, is far less cinematic. What weve built are highly articulate pattern-matchers. Theyre good at producing answers that sound right. But sounding smart and being smart are two very different things, and NeurIPS made clear that the gap isnt closing. The technical term being passed around is the scaling wall. This is the idea that the current approach train ever-larger models on ever-larger datasets is running up against both physical and cognitive limits. Were running out of high-quality human data. Were burning enormous amounts of electricity to extract tiny marginal gains. And perhaps most troubling, the models still make the kind of mistakes that no one wants their doctor, pilot, or science lab to make. Its not that Gemini 3 hasnt wowed people. And Google poured resources into optimizing model architecture and training techniques, rather than simply throwing more hardware at the problem, which makes it perform incredibly well. But Gemini 3s dominance only underscored the problem. Its still based on the same architecture that everyone is now quietly admitting isnt built to scale to general intelligence its just the best version of a fundamentally limited system. Managing expectations Among the most discussed alternatives were neurosymbolic architectures. These are hybrid systems that combine the statistical pattern recognition of deep learning with the structured logic of older symbolic AI. Others advocated for world models that mimic how humans internally simulate cause and effect. If you ask one of todays chatbots what happens if you drop a plate, it might write something poetic. But it has no internal sense of physics and no actual grasp of what happens next. The proposals arent about making chatbots more charming; theyre about making AI systems trustworthy in environments where it matters. The idea of AGI has become a marketing term and a fundraising pitch. But if the smartest people in the room are saying were still missing the fundamental ingredients, it may be time to recalibrate expectations. NeurIPS 2025 might be remembered not for what it showcased, but for admitting that the industrys current trajectory is impressively profitable but intellectually stuck. To go further, well need to abandon the idea that more is always better. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds. Make sure to click the Follow button! And of course you can also follow TechRadar on TikTok for news, reviews, unboxings in video form, and get regular updates from us on WhatsApp too. ====================================================================== Link to news story: https://www.techradar.com/ai-platforms-assistants/agi-is-a-pipe-dream-until-we -solve-one-big-problem-ai-experts-say-even-as-google-celebrates-geminis-succes s --- Mystic BBS v1.12 A49 (Linux/64) * Origin: tqwNet Technology News (1337:1/100) .