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We expected to have GPT-5 available at the beginning of the year, but OpenAi gave us GPT-4.5. The generative AI model, which theoretically represented a remarkable leap with respect to its predecessors, ended up disappointing and the company announced that it will eliminate it from its API in July. It was too expensive and simply did not compensate. That was already a bad sign of AI advance, but there is more.
And GPT-5, what? It was expected that GPT-5 will arrive in the middle of the year. Sam Altman has been creating Hypebut in December we knew that the arrival of that model was being problematic. The jump in benefits I wasn’t being expected And the cost of developing it is huge. What did they do in Openai? Delay it and launch in its place GPT-4.5 That, as we have seen, it was one of the great disappointments in the history of Openai. Bad signal one signal.
Behemoth is delayed. As indicated In The Wall Street JournalGoal will delay the launch and deployment of its most ambitious model to date, call 4 Behemoth. This “monster” with 288,000 million active parameters (two billion in total) is the third member of the newly presented family calls 4. However, according to WSJ “Company engineers are having difficulties in significantly improving” their capabilities. It should have arrived in April, but now it is estimated that it will arrive in autumn, or even later.
Frustration. Sources close to the company indicate that managers are frustrated with the performance of the team that is developing calls 4 Behemoth. “Significant management changes” are already contemplated that would raise internal movements (and who knows if layoffs) as a result of these bad results. And not that the available flame models 4 are having a good receptionlet it be said. Bad signal number two.
Unbalanced. In WSJ also highlight how the first flame version was created by its fundamental research team, formed by academics and researchers. Since then 11 of the 14 researchers have left the company.
Anthropic does not advance either. We also expected a “round” leap in Claude, the Chabot of the generative of Anthropic, but in February the company presented Claude 3.7. It is true that this model Yes offered striking benefitsbut at the moment its Opus version, the most ambitious, still does not appear, and nothing is known about Claude 4.0. Bad signal number three.
Jumps not, at most jumps. What we are seeing in recent months are not significant leaps in the capacity of the models, but striking improvements only in some sections or effective characteristics. It happened with Gemini 2.5 Pro, especially powerful in programming and that has allowed Google to win integersbut also with Openai and the famous images that imitate Studio Ghibli Oa Grok 3, who has become more famous for his lack of censorship that for its accuracy or quality (which is not bad).
Deceleration. All this triggers the debate on a potential “deceleration” of AI: the climb no longer seems to work so well, and that of using more GPUS and more data to train models is not offering the expected return. Jaime Sevilla, CEO of Cophai, I did believe That the rhythm of improvement was being expected, but these delays of course make the future progress of generative the AI again.
The agents and the AI that “reason” are hope. The models with “reasoning” capacity Yes, they have allowed us to propose striking improvements in some areas, and companies have launched to present this type of variants and deep research modes For specialized uses. The other great hope of 2025 are the agents of AI capable of completing task sequences autonomously to solve a problem, even connecting to other services or data sources. At the moment we already have outstanding examples in the schedule of programmingbut practical applications for end users are limited.
Image | Goal
In Xataka | There are too many AI models. That raises a true death sentence for Anthropic and Claude
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