Japanese Telecom Giant NTT Plans to Establish a $500 Million Optical Network Fund
ChatGPT is once again aiming to make headlines, proclaiming its transformation from a simple chatbot into a "super app." Looking at this grand declaration, it seems almost as if without a rebrand and a facelift, it would be letting down the venture capital funds of Silicon Valley. From "chat" to "super app," the terminology grows increasingly mystical, but at its core, this is merely a strategic drift by OpenAI amidst anxieties over user growth—when your competitors are all building integrations
Analysis
Just by looking at the headline, you might think OpenAI has finally woken up and is ready to take on super apps like WeChat or Alipay. Wake up—it can't even keep its own API stable, a common gripe among developers, and now it wants to leapfrog into becoming a platform. This move is eerily reminiscent of early internet companies: first using a killer app to stake out territory, then desperately stuffing in all sorts of unrelated features, ultimately becoming a monstrosity. ChatGPT's redesign, in the end, reflects a common ailment in the AI industry: when technology falls short, marketing steps in to fill the gap. What users need is smarter, more reliable AI, not a bloated "digital Swiss Army knife" jammed with plugins.
On another front, Japanese telecom giant NTT has launched a $500 million optical network fund, bringing along wealthy partners like Samsung Electronics. On the surface, this appears to be an investment in infrastructure, but in reality, it's a desperate act of self-preservation by an old tech giant struggling to find its footing in the AI era. Optical networks? Sounds impressive, but in today's world where large models and computing power reign supreme, this investment is like sprinkling a handful of salt into the ocean—you won't even hear a splash. NTT and its peers are still applying traditional telecom thinking to AI, oblivious to the fact that the battlefield has long since shifted to algorithms and data. $500 million—how many large models could that train? It wouldn't even cover a fraction of the cost of GPT-4. Such investments are more akin to a capital game, adding a touch of "AI concept" gloss to financial statements, with their actual utility anyone's guess.
Then there are the trending topics: an early Xiaomi employee venturing into AI hardware with a sleep-enhancing bedside lamp. Once again, the "frictionless" concept is invoked, as if AI can solve all of life's pain points. But let's be real—can an AI lamp truly help you sleep better, or is it just a voice assistant awkwardly crammed into a lamp, charging you a few hundred extra bucks? Such startup projects sound geeky, but their gimmick outweighs their substance. AI hardware isn't inherently off-limits, but why always fixate on the superficial realm of consumer electronics? Dare to tackle the hard problems in industry, healthcare, or education? A flood of hot capital has spawned a flurry of products based on false demand, which may ultimately leave nothing but a mess behind.
Even more stinging is the news that "after adopting AI, companies have stopped hiring." This headline brutally tears away AI's benevolent façade—technological progress has never been about making life easier for humans, but about enabling capital to exploit more efficiently. Companies use AI to replace human labor, branding it as "efficiency improvement," when in reality, it's just a fig leaf for layoffs and cost-cutting. When AI can handle everything from recruitment to customer service to coding, how much job security remains for ordinary people? The irony is that the very tech companies driving this AI wave are the ones chanting "change the world." They extol AI's empowerment of humanity while quietly optimizing away their own employees. This contradiction is the true portrait of today's AI frenzy.
ChatGPT's redesign, NTT's fund, Xiaomi's hardware, corporate layoffs… these fragments paint an absurd picture: tech companies chasing trends like headless flies, using concepts to mask anxiety and marketing to replace innovation. AI is not magic; it's merely a tool, but it has been overly mythologized into an instrument for capital speculation. Everyone talks about AI, yet no one cares about the practical problems it actually solves. ChatGPT becoming a "super app"? First, fix your habit of making up answers.
A true AI revolution should unfold in laboratories, factories, and classrooms—not in press releases and fundraising slides. NTT's $500 million, if spent on training AI engineers or funding fundamental research, would likely be far more valuable than investing in optical networks. But the reality is that capital always prefers quick, flashy stories over sustained, gradual progress. This has led to a pervasive restlessness across the industry: big companies are busy with redesigns, acquisitions, and hyping concepts; startups are busy with fundraising, marketing, and chasing trends. What remains in the end might just be a mess and ordinary people left behind by technology.
ChatGPT's redesign is merely a microcosm, reflecting the collective anxiety gripping the AI industry today: slowing growth, intensifying competition, and challenges in real-world implementation. So, everyone keeps manufacturing "big news" to stimulate market nerves with new concepts. But users aren't fools. When the "super app" halo fades, what's left is a bulkier product, more complex operations, and an even more uncertain future. Perhaps what AI needs is not more flashy features, but less pretension and more solid substance. After all, technological evolution isn't achieved simply by changing names or appearances.
Disclaimer: The above content is generated by AI and is for reference only.