Huang Ren: Invidia has already implemented AGI!

  It's the first time in the history of the world.

In a recent financial news conference call, Huang Ying-jeou shouted: Ingweida has implemented AGI!

Then he gave a surprising prediction.

The future of Ingrid, which may require only 40,000 human employees, will be able to command 400,000 or even 4 million 24-hour AI agents at the same time!

What would it mean if Ingrid was the first to implement AGI?

With the world's largest arithmetic base, AGI will be the gateway to a remarkable "anti-breastfeeding arithmetic research and development".

Once the AGI unlocks the recurrent RSI, Ingrid is like a super-scientist army of millions of AI Agents embedded internally.

This army would replicate itself, automate the next generation of more anti-GPU architectures, and even rewrite the CUDA code.

This "left foot-stepping right foot" lifting blow would bring an unprecedented high monopoly profit for Ingrid. As the supply chain in the real physical world is stuck, the vast majority of competitors will be thrown out of the door.

In the end, Ingrid will not only monopolise the vast majority of the world's effective "AI workforce", but also get the richest monopoly dividends for humanity as it moves towards a grassroots civilization!

In the tech world, AGI means that AI is capable of performing as well as humans in the vast majority of highly economically valuable jobs, even surpassing humans.

Over the past few years, countless tech giants have fought for "who touches the threshold of AGI first".

However, at a financial reporting conference call on Wednesday, when asked how companies like OpenAI viewed the frantic pursuit of AGI, Huang Jin calmly said:

For many tasks, we can say that we have already achieved AGI.

This isn't the first time he's said that. In the Lex Fridman podcast in March of this year, he made a similar statement.

But this time, he didn't just announce that he had reached this milestone, and then he set the table by hand.

In the meantime, Mr. Huang said:Now it makes no sense to continue to get entangled in "what exactly is AGI" and "what are the criteria for achieving AGI".

Why not?

Because the entire tech community has no universal consensus on "intelligence" itself, let alone how to measure AGI.

It is as if everyone is running toward the finish line, but no one knows what the finish line is. Again, if you argue about the meaningless things, are you not wasting your time?

What really excites Hu Jintao, and what really makes all of humanity alert, is the underlying transformation of AI capabilities.

According to the latest data, Invidia's Ava architecture has achieved 100% completion on the long-cycle autonomous intelligence benchmark test ARC-AGI-3!

The ARC test was developed by François Chollet, the father of Keras, and is recognized as the "most powerful intelligence test in AI".

It specifically targets the "backlog" weaknesses of large models, requiring AI to face the challenges of the future.I've never seen any historical data for reference.In the case of logical puzzles, only a very small number of examples demonstrate human-like abstract reasoning abilities.

In the past, even the strongest models of OpenAI and Google have been folded, and accuracy above 50% has been extremely difficult.

However, Ingrid's Avo architecture, which not only takes 100% of the total score, but under a pure zero-sample tip, has no clear rules for any of the 183 shutdowns in all 25 public environments, all relying on autonomous reasoning!

Not only does this mean that INVEDA became the first global giant to complete the test, but it also marks the complete transition of AI.「Pattern matching」It's a dead end, a real general cognitive ability to solve unknown complex problems.

AI will say goodbye to the passive age of "you ask AI to answer".

Now AI is a front-end general-purpose architecture.Autonomous Intelligences。

After receiving a task, it is able to independently dismantle the steps, execute autonomously, and even after completing the task to reflect, learn new skills, and achieve "returning self-improvement".

Not only will it work, but it will also summarize its experience, the smarter it is. This is the real "AGI landing" in the eyes of the elderly.

If the run scores are not convincing enough, what is the credibility of the "AGI core" of the British Grand Prix?

In 2026, at Computex and GTC Taipei, Huang In, along with Cadence, released ChipStack AI Super Agent, officially declaring its autonomous capabilities to Level 5.

The system uses Codex and Nemotron to engineer workflows and calls for Cadence Xcelium to perform RTL simulation; Jasper performs formalized verification; all tasks run in the NVIDIA OpenShell sandbox.

The official release of the data is exciting: the typical verification cycle is compressed from about five weeks to less than a day, and the RTL verification cycle accelerates more than 40 times.

The massive verification system of "thousands of engineers, billions of hours of computation, millions of tests per year" within INVEDA will be carried out by this smart body.

If "implementing AGI" is just a technological shock, then INVEDA's profits are a shock to capital, completely beyond market forecasts.

In the latest Q2 financial report for fiscal 2027, total revenue in the previous quarter reached a record $96.2 billion, up more than $10 billion from the previous quarter.

Data center revenue alone more than doubled, reaching a record $89 billion, and profits more than doubled to $59.7 billion.

Key data for the quarter:

• Revenue: US$96.2 billion (expected to be US$92.2 billion, up 106%)

• Data centers: $89 billion (expected to be $85.8 billion, up 117%), driven by ultra-large customers ($48.7 billion) and enterprise AI business ($40.3 billion)

• Net profit: US$59.7 billion (a staggering 62% net interest rate, up 6%)

• Gross Interest Rate: 75%, expected to be 75%, up 2.5 percent from 250 basis points, to US$72.1 billion

• Adjusted earnings per share: $2.22; expected $2.10, up 120%

For 91 days, revenues amounted to about $1.06 billion per day, including weekends.

The guidance for the third quarter is striking: expected revenue of $108 billion!

This will be the first time in the history of India to exceed the $100 billion mark in a single quarter, with daily revenues rising to nearly $1.2 billion!

A year ago, leading-edge AI labs relied heavily on venture capital to survive; now, as SemiAnalysis founder Dylan Patel proposes, AI has gone from a bottomless hole that burns money to a terrifying printer's hole.

A basic computing cost of about $10 million to $15 million per megawatt could be used to generate 50 million or even hundreds of billions of dollars in terminal revenue.

When Ingrid and its core customers are able to steadily "turn $10 into $100", it has an absolute "unlimited right to open fire" in the marketplace.

Following giants like Amazon, Apple, and Alphabet, Invisalign will enter the "100 billion dollar single-season revenue" club.

But the call will be the real "King Blast", from Chief Financial Officer Colette Kress, who gave guidance for the entire fiscal year of 2028, a year earlier:Revenue is expected to grow by about 70%! This is unprecedented in the history of British Airways.

The expectation before Wall Street was only a poor 44 percent.

According to a consensus estimate of nearly $400 billion for the current fiscal year, total revenue for fiscal year 2028 will be approaching a staggering amount.673 billion dollars.

This would directly surpass Apple and Microsoft to become the second-largest tech company in the U.S. after Amazon.

The old man also added a knife at the venue:

70% is limited to the supply chain's supply figures. If the capacity is not constrained, real customer demand will grow by almost 100%!

Roughly calculated at a net profit rate of 65%, the net profit of United for fiscal year 2028 could be close to $450 billion.

Its one-year net profit may be higher than the GDP of the vast majority of the world's countries.

Since the definition of AGI is no longer meaningful, what is the most fundamental change in the tech world today?

Huang Rinpoche gives a bloody answer to the question:

AI is doing extremely efficient and useful work and is generating tokens that can directly generate profits.

What is a generating profit token?

In the world of AI models, Token is the basic unit of text processing.

In the past, these tokens were just lab data; now, as AI Agents are deeply tied to the real business, these tokens have become real business value.

When AI helps you automatically generate a bug-free backend code, which increases efficiency, it's a profitable token.

When AI automatically grabs global market data, generates investment strategies and executes trades at the secondary level, real gold and silver is earned, and tokens are absolutely profitable!

In the past, AI was a bottomless pit burning money. But now, the times have changed.

Hu Jintao makes this logic clear: more computation = more tokens = more profits.

That's why the key metrics for the next phase of AI warfare are "Token per dollar" and "Token per watt".

That's why the Silicon Valley giants don't care what AGI is called anymore, they're all crazy about it.

Whoever has mastered computing is master of the new era's "printing machine". Under this logic, AI has substantially reshaped production relations and become the most powerful engine driving the global economy.

Invisalign has fully invested in and delivered its timely Vera Rubin architecture, raising the revenue potential per GW data center from $18 billion to $40 billion for Hopper, and is transforming itself into the world's most efficient "printer engine" for the digital economy through these rapid transformations.

Last year, only a handful of top labs were robbing the infrastructure; today, generative AI is entering a golden age: new AI labs, AI national teams, physical robots, AI, everything connected, all in a crazy race for computing power.

Based on the strong autonomy and self-evolution potential of the current AI Agent, Huang Yin made the following predictions:

In the not-too-distant future, Invisalign may only need to maintain the size of its 40,000 or so human employees, but it will have 400,000 or even 4 million digital employees!

Take a closer look at this set of data - a ratio of 1 to 10, or even 1 to 100.

As Dylan Patel concludes with his bookkeeping presentation: A trillion-dollar scale expansion of computing will generate more than $5 trillion in credit demand for the entire ecosystem.

Over the next two to three years, real-world economic operations will drive higher market rates, leading to a collapse in valuation of traditional value stocks due to a rise in discount rates, which will be the direct result of this AI computational monopoly and expansion.

The August 2026 financial report will be included in the history books.

Not only did Old Huang extend his life to AI once again, but he directly unlocked the most real underpinnings of AI commercialization: power, tokens, wealth!

In this crazy age of "forty thousand commanding four million AI", panic is futile.

The future of survival has only one rule: either be the one who controls AI or be the one who is replaced by AI.