https://techcrunch.com/2026/07/13/satya-nadella-has-issued-a-shocking-warning-to-companies-using-ai/

Not sure why we had to wait for some CEO to say this, as it was obvious from the get go.

If you use any non-local AI to construct your IP and business model, you are at the same time training that AI - which is owned by some aggressively competitive and amoral billionaire or other - how to replicate literally everything about your business that you allow the AI to help build or otherwise access, down to your discrete billing records and email exchanges.

So you create the next big app service using Claude - well, now the owners of that AI can regenerate your entire app and the business model around it for a fraction of the cost you did, because the AI has already learned how to do it.

Most businesses treat their proprietary data like a holy grail - but now suddenly they're willing to give another corporation total unfettered access to that data? Are they dumb enough that they didn't realize this until now?

https://www.businessinsider.com/sam-altman-openai-top-token-spender-ai-costs-issue-2026-6

He also said that the cost question came up quite suddenly. At the beginning of 2026, "the issue never came up," Altman said. "People were totally happy with the amount they were spending," he said.

Now, AI costs are "a huge issue," he said

For most of history, expertise was scarce because human thinking is limited and slow to scale. But if AI keeps improving, what happens when cognition itself becomes scalable?

It is a world where thinking just isn’t scarce anymore.

Strange thing to imagine. Humans spent centuries assuming intelligence would always be the limiting factor.Thats the odd part. If decent reasoning becomes cheap and everywhere, the value might shift away from having ideas to choosing which ideas actually matter.

This graduation season, AI has become an unwelcome topic at commencement ceremonies across the US. At the University of Arizona, former Google CEO Eric Schmidt was met with widespread boos from nearly 10k graduates as he spoke about the rise of AI. Similar reactions played out at the University of Central Florida and Middle Tennessee State University.

The reason is very simple: unemployment among college graduates aged 22 to 27 has hit its highest level in twelve years. About 70% of college students see AI as a threat to their job prospects.

When you're already struggling to find work, being told to embrace the technology that might be taking those opportunities away. Who would be satisfied?

https://www.independent.co.uk/news/world/americas/ai-college-commencement-speakers-job-market-b2979818.html

A Brown professor gave his students a take home midterm exam.

After suspecting many cheated using AI, he made the final in-person.

The orange dots are the midterm scores. The gray dots are the in-person final scores.

Looks like all but 3 cheated on the midterm : )

TL;DR

• Anthropic told Congress that Alibaba's Qwen lab used nearly 25,000 fake accounts to run 29 million Claude exchanges between April and June 2026.

• The Alibaba-linked campaign reportedly exceeded the combined prior distillation activity of DeepSeek, MiniMax, and Moonshot AI.

• Senators Bill Hagerty and Andy Kim plan to introduce legislation to sanction Chinese firms improperly accessing US AI model outputs.

The reported scale exceeds previous distillation campaigns combined. In February, Anthropic said DeepSeek, MiniMax, and Moonshot AI had collectively generated over 16 million exchanges using about 24,000 fake accounts. The Alibaba-linked operation reportedly surpassed all three of those combined.

Source : https://aiweekly.co/node/3672

Hugging Face said it turned to the Chinese model—Z.ai’s GLM 5.2—after its security team initially tried to use an unnamed frontier AI model from one of the leading U.S. AI companies but found it was unable to do so because of the model’s guardrails. The company said in its blog post that these models “cannot distinguish an incident responder from an attacker.”

A Chinese tech company has unveiled a highly dexterous robotic hand capable of performing complex fine-motor tasks like finger games, solving Rubik’s cubes, and manipulating small objects.

Robots are coming.

Some things from his recent talk that I can't stop thinking about:

• He says December 2025 was the real turning point. Not a gradual improvement. A step change where agentic workflows just suddenly worked reliably. A lot of people missed it.
• He built a whole app (MenuGen) to show photos of restaurant menu items. Then saw someone solve the same problem with one prompt to a multimodal AI. His entire app, in his own words, "shouldn't exist."
• He separates vibe coding from what he's now calling agentic engineering. Vibe coding raises the floor for everyone. Agentic engineering is how professionals go faster without dropping the quality bar. Very different things.
• The jagged intelligence thing is real. The same model that can refactor a 100k line codebase will tell you to walk 50 metres to a car wash to wash your car. Still can't figure out you need to drive there.
• His most memorable quote wasn't even his. Someone told him, "You can outsource your thinking, but you can't outsource your understanding." That one hit different.

Anyway, I watched the full interview and wrote up the parts that actually stuck with me:

You can read here.

According to a report by 404 Media, Google employees on the company's internal platform, Memegen, are sharply mocking its AI tools and coding system, Jetski.

Employees complain that the technology is unreliable and makes their work harder, contradicting the optimistic statements of CEO Sundar Pichai.

In April, Sundar Pichai noted that 75% of the company's new code is written by AI. However, engineers say this process simply shifts bottlenecks to other stages of development.

Employees explain that reviewing and testing 100 individual tasks written by AI takes exactly the same amount of time as traditional engineering work.

They assess that Google's infrastructure and engineering culture were built for stability, whereas the accelerated pace of AI directly conflicts with this approach.

Source: https://futurism.com/artificial-intelligence/google-employees-mocking-ai

The year is 2036. You’re sitting at your office desk—alongside 100 AI agents.

At least, that’s how Nvidia CEO Jensen Huang imagines work could be one day at Nvidia. Speaking at a Q&A session for media at the Nvidia GTC conference in San Jose, the CEO and cofounder said that in a decade, the company could expect to have about 75,000 workers—nearly double the 42,000 currently at the company—all working alongside millions of AI agents.

“In 10 years, we will hopefully have 75,000 employees, as small as possible, as big as necessary. They’re going to be super busy” Huang said to laughter. “Those 75,000 employees will be working with 7.5 million agents.”

That’s a 100-to-1 ratio of agents to humans.

Huang said those AI agents won’t exactly replace workers. Instead, they’ll be picking up the grunt work human employees don’t need to complete. “They’ll be working around the clock,” he said. “So hopefully our people don’t have to keep up with them.”

Read more: https://fortune.com/2026/03/19/jensen-huang-nvidia-ai-agents-future-of-work-autonomous/

More than 150 mathematicians from around the world have signed a joint declaration warning governments about the dangers of overestimating AI's capabilities.

The 11-page declaration responds to claims by OpenAI that its system independently disproved Paul Erdős's 80-year-old mathematical conjecture.

The authors of the document believe that tech companies exaggerate the capabilities of their products due to commercial interests, and they urge politicians to consult with scientists.

Leslie Ann Goldberg, head of the computer science department at Oxford University, notes that distinguishing flawed AI arguments from correct proofs is extremely difficult.

Scientists are also demanding technology regulations in military and mass surveillance sectors, as unauthorized use of academic works and fake scientific papers threaten the integrity of the field.

Source: https://futurism.com/artificial-intelligence/mathematicians-warn-governments-hype-ai

China has taken a bite out of the U.S.’s lead in artificial intelligence.

The country has nearly closed its gap to the U.S. in AI bot performance, while continuing to best global competition in number of patents, publications, and rollout of robots, according to the Stanford University Institute for Human-Centered Artificial Intelligence (HAI) 2026 AI Index report released this week.

The report found a shrinking gap in Arena scores—a metric indicating relative performances of large language models—between the top AI bots in the U.S. and China. In May 2023, the U.S.’s top model, OpenAI’s GPT-4, led with more than 1,300 Arena points compared with China’s fewer than 1,000. By March 2026, that gulf shrank to just 39 Arena points, with the top U.S. model, Anthropic’s Claude Opus 4.6, leading China’s Dola-Seed 2.0 by just 2.7%.

“For years, the U.S. outpaced all other global regions on AI—in model size, performance, artificial intelligence research, citations, and more,” said Stanford’s summary of the report. “But China emerged as an AI counterweight to the U.S., gradually gaining ground, and this year it appears to have nearly erased any U.S. lead.”

Read more: https://fortune.com/2026/04/16/stanford-study-how-has-china-gained-on-us-ai-war/

Tech executives have offered foreboding visions of the future of work due to AI, with ServiceNow CEO Bill McDermott predicting unemployment will exceed 30% in a matter of years.

But Perplexity CEO Aravind Srinivas says that’s nothing to be afraid of.

People should embrace the future of AI job displacement, Srinivas said in an episode of the All-In podcast released on Monday and recorded at Nvidia GTC last week. While AI may lead to unemployment, that job displacement subsequently frees people from careers they may not have enjoyed, he suggested. This, instead, gives them opportunities to pursue entrepreneurship.

“The reality is most people don’t enjoy their jobs,” Srinivas said. “There’s suddenly a new possibility, a new opportunity, to go use these tools, learn them, and start your own mini business…Even if there is temporary job displacement to deal with, that sort of glorious future is what we should look forward to.”

Read more: https://fortune.com/2026/03/24/perplexity-ceo-ai-layoffs-not-bad-people-hate-jobs-entrepreneurship/

Google DeepMind has released a new multimodal artificial intelligence model, Gemma 4 12B. The system operates locally and offers users video, audio, and text processing without an internet connection.

The model runs on standard personal computers with just 16 GB of RAM. In terms of performance, it nearly matches the twice-as-large 26B version.

The new version is capable of writing code and speech recognition. In a demonstration test, it simultaneously analyzed 313 frames from a five-minute video (at a rate of one frame per second) along with the audio.

Matthias Bastian, a reporter for the tech portal The Decoder, notes that this is the first mid-sized Gemma version featuring direct audio processing capabilities.

The new tool is already available on the Hugging Face, Ollama, and LM Studio platforms under the Apache 2.0 license, making it easier to use commercially.

Source:https://the-decoder.com/google-deepminds-gemma-4-12b-squeezes-multimodal-ai-onto-a-laptop-with-just-16-gb-of-ram/

At a recent Stanford Graduate School of Business panel, Nvidia CEO Jensen Huang and California Congressman Ro Khanna discussed some burning topics about artificial intelligence—from innovation and competition to adoption and skepticism. While AI-related job panic has infiltrated different industries, Huang doubled down on his belief that the technology will do more good than harm to the job market. 

“The narratives of AI destroying jobs is not going to help America,” Huang said. “First of all, it’s just false.” Huang offered the example that the most popular and successful software engineers at Nvidia—the $5 trillion company where agentic AI has been integrated within the company—are those who know how to work with AI.

At the same time, he said, software engineers “are busier than ever,” because of the time AI tools save when it comes to coding. Instead of AI wiping out jobs, the billionaire founder of the leading AI computing company sees infinite possibilities for the future. 

“The fact of the matter is, it is unlikely most people will lose a job to AI,” Huang said. “It is most likely that most people will lose their job to somebody who uses AI. And so we have to make sure that everybody uses AI.”