Each week, we bring you 5 stories that resonated the most in our internal Slack channel #AI-news. We write the newsletter using various AI tools because we're an AI company and our marketing wants to move with the times too. ๐
Today you're reading the 78th issue in a row.
#1
OpenAI launches ChatGPT Go for $4.6/month in India ๐ช๐.
OpenAI has launched a new subscription plan in India called ChatGPT Go, priced at $4.6 per month ๐ช โ the cheapest subscription in the companyโs history ๐. Users get 10 times more messages and image generations compared to the free version, along with faster responses โก.ย
The goal? To reach hundreds of millions of users in a highly price-sensitive market ๐ฑ.
India is already OpenAIโs second-largest market after the U.S., and Sam Altman expects it will soon become number one ๐ฅ. This move confirms the companyโs strategy to expand in regions where AI adoption is just beginning ๐ โ and where a low entry cost is crucial ๐งฎ.
#2
Sam Altman ๐ธ: The AI sector is in a bubble โ like the dot-com era ๐ฅ.
Sam Altman has admitted that the AI sector is currently in a bubble โ with investors pouring billions into startups that often have little more than a three-person team and an idea ๐ธ. He compared the situation to the dot-com era, where tech progress was mixed with irrational capital ๐.
Altman also predicts that many investors will lose money ๐ฅ, but says the economy as a whole will benefit from the bubble ๐. He argues that such periods are normal in tech history and help accelerate progress ๐ง .
According to him, OpenAI is taking a realistic approach to a possible crash โ and continues with plans to invest trillions of dollars into building data centers ๐๏ธ.
#3
USA is testing its own AI platform ๐๏ธ โ combining OpenAI, Google, and Meta tools ๐ค.
Federal employees in the U.S. are set to begin testing a new AI platform called USAi, which brings together tools from OpenAI, Google, Anthropic, and Meta ๐ค. The goal is to boost government efficiency through chat, search, and coding tools ๐๏ธ.
The administration presents the project as part of modernization efforts, but several experts have raised concerns about the risk of automating civil service roles โ ๏ธ.
To address these concerns, USAi ensures that agency data will not be fed back into commercial AI models ๐. OpenAI and Anthropic have also offered their tools for a symbolic $1 ๐ต, allowing them to help shape the governmentโs first AI experiences ๐บ๐ธ.
While the platform is optional, its implementation could influence how AI is used in public institutions over the long term ๐ง .
#4
GPT-5 disappointed regular users ๐, but impressed developers ๐ป.
OpenAIโs GPT-5 is facing disappointment from users who, after a long wait, expected more significant improvements ๐. While the model brought faster speed, lower cost, and fewer hallucinations, its responses feel less natural โ๏ธ. Critics point to a dry, less fluent style and accuse OpenAI of overhyping the release ๐. The company even responded by temporarily bringing back an older model for dissatisfied users ๐งโ๐ป.
Despite the criticism, GPT-5 holds a clear lead in programming, currently delivering the best performance in the industry ๐ป. That makes it a strong tool for businesses and developers who prioritize stability and capability over conversational elegance ๐ข.
Even if it didnโt meet all expectations, GPT-5 could still become a major revenue driver and a reliable asset in the business segment ๐ผ.
#5
Meta reorganizes its AI division again ๐ โ the fourth time in six months ๐ต.
Meta is undergoing another major restructuring of its AI division โ the fourth in just half a year ๐. Superintelligence Labs will be split into four parts: a new team temporarily called TBD Lab, a product branch focused on the Meta AI assistant, an infrastructure team, and the FAIR research group ๐ง . The changes follow the departure of several key employees and disappointment over the Llama 4 model, which failed to generate the expected impact ๐.
Despite the internal turmoil, Mark Zuckerberg remains committed to AGI goals and promises further massive investments ๐ฐ. Meta is already seeking $29 billion to build new data centers and plans to reach capital expenditures of up to $72 billion by the end of the year ๐๏ธ. These expenses are expected to grow even more in 2026 ๐.
