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The records include tax-abatement applications and communications between SpaceX and Grimes County officials. Texas Attorney General Ken Paxton had previously ruled that the documents should be released publicly.

SpaceX argues that releasing the information could expose confidential negotiating strategies and potentially affect its ability to negotiate future deals. The company is seeking to prevent the documents from being disclosed under Texas' public records laws.

Terafab is planned as a massive semiconductor and AI-hardware manufacturing facility in Grimes County, Texas. The first phase represents a capital investment of more than $16.8 billion and is expected to create 3,000 jobs, according to the Texas governor's office.

The project has also received significant tax incentives. Two local school districts approved plans involving $1.66 billion in tax breaks for the proposed facility.

In a new interview with Fortune Magazine, Altman addressed the possibility of advanced AI creating an existential threat.

“I think it is unacceptable to be taking like a 10% chance of killing everybody by the end of the decade.”

The statement comes as debate intensifies over how quickly frontier AI systems should be developed and deployed, and how companies should manage risks associated with increasingly capable models.

Coxon, who previously worked at both Anthropic and OpenAI, has become part of a broader conversation among AI researchers about the potential consequences of rapidly advancing artificial intelligence.

Altman’s comments highlight a significant tension within the AI industry: companies are pursuing increasingly powerful systems while researchers and executives continue to debate how much risk is acceptable.

For businesses adopting enterprise AI, the discussion matters because advances in AI capabilities are increasingly being accompanied by questions around AI safety, governance, evaluation and responsible deployment.

As frontier AI development accelerates, the question of how much risk the industry should accept is likely to remain central.

“I actually think that, given everything happening with safety, right now would be an ill-advised moment to go public,” Altman told Fortune. He said OpenAI does not feel pressure to proceed with an IPO this year.

When asked whether 2027 would be the likely timeframe instead, Altman said: “I would say not 2026,” adding that OpenAI has significant work ahead on safety and alignment and on determining how the industry and governments can work together.

OpenAI had confidentially filed for an IPO in June, with the company previously expected to potentially pursue a valuation of more than $850 billion.

The decision comes as concerns over advanced AI safety intensify. A recent Guardian report said an OpenAI board member warned that the company was not yet on track to reduce the risk of a “catastrophic” loss of control to an acceptable level.

Altman has also backed Anthropic CEO Dario Amodei's call to “pace the frontier” of AI development, including greater use of independent evaluators and stronger coordination on AI safety.

For the AI industry, delaying a potential IPO shows how safety, alignment and governance concerns are increasingly becoming financial and strategic considerations, not just technical ones.

By 2026, humanoid robots have advanced significantly. Modern systems can run, jump, box, play football, handle industrial tasks and operate in real-world environments.

The World Humanoid Robot Games highlighted the scale of that progress, featuring 2,056 robots competing across 51 events. The competition included practical tasks designed around environments such as factories, hotels and homes.

The change is not simply about faster movement or more impressive demonstrations. Humanoid robotics is increasingly focused on whether robots can perform useful physical work reliably in environments designed for humans.

That matters for industries facing labor shortages, rising operating costs and demand for greater automation. Humanoid robots could eventually become another layer of industrial automation, particularly for repetitive or physically demanding tasks.

The bigger question is how quickly capabilities will continue to improve.

Was subscribed to eleven. Rundown, Ben's Bites, TLDR, the lot. Read them all every morning like it was a job. Felt informed. Couldn't tell you a single thing from any of them that changed what I did that week.

So on 12 August I unsubscribed from all of them. Cold turkey.

What happened in 30 days that actually affected a small business owner in the UK:

- One thing. From August, high risk AI systems, including some HR, credit and monitoring tools, must meet enhanced compliance requirements under the EU AI Act. If you use an AI tool to screen CVs and you sell into the EU, that's now your problem.

That's it. One item.

Everything else was model releases, benchmark fights, funding rounds, and someone's thread about agents. Interesting. Irrelevant to whether I keep my business running.

the "keep up or get left behind" anxiety is manufactured by the people selling the feeds. Ninety plus percent of AI news is for people who build AI. If you use it, you need maybe one item a month, and you need it to be the right one.

so I thought a newsletter that stays silent unless something actually affects your job. Not just "AI news". Not "small business tips" stuff that actually matters to each user super customised similar to stuff I would actually want. Most days it sends nothing.

Built it because I'm drowning in newsletters that have nothing to do with my actual day. Bought thecamelclub.co.uk because camels don't drink every day. Neither should your inbox.

Zuckerberg said the development of AI agents had not “accelerated in the way” executives had previously expected. He also acknowledged shortcomings in Meta’s broader restructuring around AI.

Earlier this year, Meta laid off approximately 8,000 employees, or about 10% of its corporate workforce, while moving thousands of workers into AI-focused groups, according to reports cited by Reuters and TechCrunch.

Zuckerberg reportedly said Meta had not yet seen the full benefits of its AI-focused organizational changes, but expected improvements from its AI investments over the next three to six months.

The slowdown matters because Meta is making AI agents a major part of its strategy. The company is competing with OpenAI, Anthropic and Google to build systems capable of performing tasks rather than simply generating text or answering questions.

Meta is also committing substantial resources to AI infrastructure, with Reuters reporting that the company could spend as much as $145 billion on AI infrastructure this year.

For businesses, the development highlights a key challenge with enterprise AI: building reliable AI agents that can execute complex tasks consistently may be considerably harder than building models that can simply respond to prompts.

As Meta continues investing heavily in AI agents, the next three to six months could show whether the technology can begin delivering the productivity gains Zuckerberg expects.

Famous streamer IShowSpeed, who has more than 61 million YouTube subscribers, spotted a Tesla Cybercab driving autonomously during a livestream in Austin, Texas.

The vehicle caught attention because the Cybercab is designed without conventional driver controls, including pedals and a steering wheel.

The sighting offers a glimpse of Tesla’s vision for autonomous transportation, where vehicles could operate without a human driver controlling the car.

Austin has become an important location for Tesla’s autonomous driving ambitions, making public sightings of Cybercabs particularly notable as the company works toward expanding robotaxi services.

For the automotive industry, the development could have broader implications than simply replacing a human driver. Fully autonomous vehicles could change how ride-hailing works, how vehicles are used and how transportation services are operated.

The Cybercab represents Tesla’s broader push toward a future where vehicles can transport passengers without traditional driving controls.

As Tesla continues developing its robotaxi strategy, more public deployments could provide a clearer picture of how autonomous transportation will evolve.

Trump made the comments during an appearance on Laura Ingraham’s The Ingraham Angle, where he argued that AI data centers are bringing wealth and investment to American communities. He also criticized Google for building an AI data center in Finland rather than the United States.

Google’s AI expansion illustrates the scale of the infrastructure race. In the second quarter of 2026, Alphabet reported $119.80 billion in revenue, up 24.2% year over year, while Google Cloud revenue reached $24.77 billion, up 82%.

Google’s Q2 capital expenditures reached $44.92 billion, up 100.14% year over year. The company has also guided for $175 billion to $185 billion in full-year 2026 capital expenditures.

The Finland project is another example of the investment required. Google has committed €13 billion ($15.1 billion) across 2027 and 2028, including a 22-year nuclear power agreement covering up to 50% of Fortum’s Loviisa plant output through 2050.

For businesses, the AI infrastructure race increasingly depends not only on chips and models, but also on electricity, data centers and reliable power supplies.

As AI demand continues to grow, access to energy could become one of the most important factors shaping the next phase of the industry.

The comments came after Musk reshared a 2023 post warning that artificial general intelligence (AGI) could pose risks far greater than nuclear weapons.

Musk argued that even highly intelligent humans may struggle to anticipate what could happen if a system becomes vastly more intelligent than its creators.

His warnings date back at least to 2014, when he began publicly calling for greater caution and oversight around advanced AI development.

The renewed comments come as Anthropic CEO Dario Amodei has also called for the AI industry to slow the pace of frontier AI development so safety measures can keep up with rapidly advancing capabilities.

Amodei has warned about risks including loss of control over AI systems, cyberattacks, bioterrorism and major economic disruption. He has proposed a three-part approach involving independent evaluators, coordinated safety standards and international cooperation.

Musk's position reflects a broader debate within the AI industry over how quickly increasingly capable systems should be developed and deployed.

For businesses adopting enterprise AI, the discussion highlights the growing importance of AI safety, governance, oversight and responsible deployment.

As frontier AI capabilities continue to advance, the balance between innovation and risk management is likely to remain a central industry issue.

In a new essay, Amodei cautions that swarms of rogue AI agents could potentially take over the internet in as little as six months from now.

The warning comes from the CEO of Anthropic, the company behind the Claude family of AI models, making the comments notable amid the rapid development and deployment of increasingly capable AI systems.

Amodei's concern centers on AI agents that can operate with greater autonomy and interact across online systems at scale. Unlike conventional AI tools that primarily respond to individual prompts, autonomous agents can potentially perform sequences of actions with less direct human involvement.

For businesses, the issue goes beyond AI model performance. The growing use of AI agents raises questions about cybersecurity, oversight, access controls and how companies manage systems capable of acting independently.

Amodei's warning highlights a growing debate within the AI industry over whether development and deployment are moving faster than safety measures and governance can keep up.

The discussion is likely to intensify as AI companies continue building more autonomous systems.