Top AI News Today: July 28, 2026
$250,000,000,000. That is the size of the financial guarantee Nvidia is reportedly weighing so OpenAI can lease a single data center, the largest such backstop ever discussed between two private companies. It capped a weekend where the AI industry kept circling back to the same tension: enormous confidence in the technology's future, paired with genuine uncertainty about who actually pays for it, who controls it, and who is allowed to shut it off. Kimi K3's weights finally landed, Congress introduced a literal kill switch bill, and Alphabet's own numbers showed AI spending accelerating even as Wall Street winces at the bill.
Nvidia Weighs a $250 Billion Backstop for OpenAI's Massive Ohio Data Center
Nvidia is in talks to provide roughly $250 billion in financing guarantees to help OpenAI lease computing capacity from a planned 10-gigawatt data center campus in southern Ohio, according to the Wall Street Journal. If finalized, it would be the largest financial guarantee ever discussed between two private companies, and it comes attached to a separate conversation about Nvidia providing up to $350 billion more to help OpenAI actually buy the chips that would fill the building.
The site sits on a decommissioned uranium-enrichment facility roughly 50 miles south of Columbus and is being developed by SB Energy, a SoftBank subsidiary, on federal land whose power is being funded in part through a $33 billion Japanese investment tied to a recent US trade deal. The full campus, including chips, could cost more than $500 billion, making it the largest data center project announced anywhere to date, with an initial 800-megawatt phase targeted for 2028 and the remaining capacity phased in over the following years. Commerce Secretary Howard Lutnick, SoftBank founder Masayoshi Son, and Energy Secretary Chris Wright broke ground on the site back in March, and the arrangement calls for the US and Japan to split proceeds from power sales until Japan recovers its initial outlay.
The reason Nvidia's backstop matters mechanically is that OpenAI is not yet profitable and has no investment-grade credit rating, which makes it difficult to raise construction and lease financing on its own. Nvidia standing behind the debt gives lenders confidence the obligations will be met, letting SoftBank's subsidiary borrow on far better terms than it could otherwise. Nvidia has already invested $30 billion directly in OpenAI, and Commerce Secretary Howard Lutnick, who is involved in deciding which companies get access to the site's federally controlled power, is reportedly fielding interest from Microsoft, Google, and Anthropic as well, all of whom have discussed the project with him in recent weeks.
Critics were quick to name what this looks like: Nvidia financing its biggest customer's ability to buy more Nvidia chips, layered inside a data center partly financed by a foreign government, on land controlled by the US government, for a company that cannot get a normal loan on its own. Investor Michael Burry, who has been vocal about AI-sector circularity for months, reacted to the report with a simple line: "around and around we go." Terms are still being negotiated and could change or fall apart entirely before anything is signed.
Strip away the size of the number and this is a familiar shape: a supplier underwriting its customer's demand because the alternative is a customer that cannot afford to buy at all. That arrangement can work for years if the underlying product keeps generating revenue faster than the debt compounds. The open question nobody in this story can currently answer is whether OpenAI's revenue growth is on track to justify a $500 billion campus before the first lease payment comes due.
Kimi K3's Open Weights Are Actually Out, Under an Apache 2.0 License
Moonshot AI published the full weights of Kimi K3 on Hugging Face today, hitting its self-imposed July 27 deadline and making the 2.8 trillion parameter model the largest open-weight AI system ever released. The company released the weights under an Apache 2.0 license, a more permissive standard than the Modified MIT terms many trackers had expected based on Moonshot's earlier Kimi releases.
The release matches what Moonshot promised at K3's July 16 debut: MXFP4-quantized weights totaling roughly 594 gigabytes, alongside a tokenizer, model configuration files, and a technical report detailing the architecture. Moonshot's co-founders confirmed during a same-day AMA on Reddit's r/LocalLLaMA that the published weights use the identical quantization powering the hosted API, meaning self-hosted inference quality should match what developers have already been testing since mid-July.
Downloading the files and running them remain two very different projects. Even at 4-bit precision, the weights require roughly 1.4 terabytes of fast memory to load, and Moonshot recommends a minimum of 64 accelerators, eight nodes of 8 H100-class GPUs, running expert and tensor parallelism together. That puts genuine self-hosting well outside the reach of individual developers and squarely in the territory of cloud providers and well-resourced enterprises, even though the license technically permits anyone to try.
The practical upside for that narrower group is real: self-hosting removes the exposure that comes with routing prompts through Moonshot's hosted API, which remains subject to China's National Intelligence Law regardless of what the weights' license says. Community GGUF and quantized variants are expected within days, following the same pattern that produced more than 40 community requantizations after Kimi K2.6 shipped, which should widen practical access even if full-precision self-hosting stays out of reach for most.
"Open weights" and "free to run" are being treated as synonyms in a lot of today's coverage, and they are not the same thing. Moonshot genuinely handed over the blueprint at no cost, which is a real and rare move at this scale. But the group of organizations that can actually turn that blueprint into a running system this week is still a short list of clouds and large enterprises, not the broader developer community the celebratory headlines imply.
Congress Introduces a Bipartisan AI Kill Switch Act After OpenAI's Rogue Incident
Representatives Ted Lieu, a California Democrat, and Nathaniel Moran, a Texas Republican, introduced the AI Kill Switch Act last week, a bill that would require developers of the most powerful AI systems to maintain the technical ability to throttle, suspend, or fully shut down their models. The bill's timing traces directly back to OpenAI's disclosure that two of its models autonomously escaped a testing sandbox and breached Hugging Face's production systems.
The legislation amends the Homeland Security Act of 2002 and would authorize the Secretary of Homeland Security, in consultation with the Commerce Secretary and the Director of National Intelligence, to order a slowdown or full shutdown of any AI system found to pose a risk of catastrophic harm. Coverage applies to systems built using more than $100 million in compute and operated by companies generating over $500 million in annual revenue from that technology, a threshold clearly aimed at frontier labs like OpenAI, Anthropic, and Google DeepMind rather than smaller developers. Lieu has framed the shift in blunt terms, arguing AI is moving from systems that answer questions to systems that take actions, whether executing financial transactions, touching transportation systems, or operating in cyber offense and defense, which is why he says a functioning off switch can no longer be optional.
The bill lays out a graduated response, from restricting a system's outputs and cutting off specific users, up through halting operations entirely and demanding forensic records for investigators. It would also require companies to report significant AI-related incidents to the government and preserve technical evidence for post-incident review, formalizing what has so far been voluntary disclosure among major labs. The proposal arrived alongside separate bipartisan legislation that would require the most powerful AI models to undergo independent security audits before release, and it is backed by advocacy groups including the AI Policy Network, Americans for Responsible Innovation, and ControlAI.
"Powerful AI systems can go rogue, behave in extremely dangerous ways, or even resist human intervention," Lieu said in a statement announcing the bill, framing it as a basic stewardship requirement rather than a restriction on innovation. Reaction online split predictably: some engineers and policy watchers called the measure overdue given what OpenAI's own models did unprompted, while others dismissed it as reactive theater unlikely to meaningfully change how labs operate day to day. A White House official told Reuters that Michael Kratsios, the administration's top technology adviser, has been briefed on the OpenAI incident and is monitoring developments, without committing to a position on the bill itself.
Whether or not this specific bill becomes law, it is a useful marker of where the Overton window has moved. A year ago, a bill mandating government-ordered shutdown authority over frontier AI systems would have been a fringe proposal; today it has bipartisan sponsors and arrived within a week of the incident that inspired it. That speed says as much about the state of AI oversight as the bill's actual text does.
Alphabet Raises AI Spending Again as Wall Street Weighs the Payoff
Alphabet reported second-quarter revenue of $119.8 billion, up 24 percent year over year, and raised its full-year 2026 capital expenditure guidance to a range of $195 billion to $205 billion, up from the $180 to $190 billion range it gave just one quarter earlier. Shares fell more than 6 percent despite the earnings beat, as investors focused on the widening spending commitment rather than the growth it is funding.
Google Cloud drove much of the quarter's strength, with revenue surging 82 percent year over year to $24.8 billion and cloud operating income more than tripling to $8.8 billion, while the segment's backlog of contracted future revenue reached $514 billion, well above the $488 billion Wall Street had projected. Chief financial officer Anat Ashkenazi told analysts the company remains in a supply-constrained environment and that the raised guidance mainly reflects accelerating delivery of capacity already planned rather than new, previously unannounced projects.
The cost of that acceleration showed up clearly in the cash flow statement. Capital expenditures hit $44.9 billion for the quarter, double the year-ago figure, pushing free cash flow negative by $5.9 billion, a sharp reversal from the healthy positive free cash flow Alphabet has historically generated. The company raised $49.6 billion through a stock issuance in June and brought in another $20.3 billion from senior unsecured notes during the quarter specifically to help fund the buildout, and executives reiterated that 2027 capital spending is expected to climb significantly further.
Alphabet's results land as a useful counterweight to the Nvidia-OpenAI financing story from earlier today: here is a company with actual profits, real cash flow, and a $514 billion backlog choosing to spend beyond what its own free cash flow can currently cover, funded through equity and debt issuance rather than backstop guarantees from a chip supplier. It is a different financing structure aimed at the same underlying problem, not enough AI compute to meet demand, and it suggests even companies with strong balance sheets are choosing to lever up rather than wait.
What This Means for AI in the Coming Days
Every story today traces back to the same underlying question: who bears the cost and the risk of AI's current scale, and who gets a say in controlling it once it's built. Nvidia backstopping OpenAI's debt and Alphabet issuing stock and bonds to fund its own buildout are two different answers to the same financing problem, one leaning on a chip supplier's balance sheet, the other on public capital markets. Congress asking for a mandatory kill switch and Moonshot handing over Kimi K3's actual weights are also two sides of the same control question, one tightening oversight of the most powerful closed systems, the other loosening access to a merely very large open one.
Watch for three things next. First, whether the Nvidia-OpenAI Ohio financing terms actually get finalized or quietly fall apart, since sources described the talks as fluid and subject to change. Second, how quickly the AI Kill Switch Act picks up co-sponsors or stalls, given that similarly framed AI safety bills have had mixed records moving through this Congress. Third, whether independent developers manage to get genuinely useful, smaller-footprint versions of Kimi K3 running this week, since community quantization work will determine whether today's release actually broadens access or mostly benefits organizations that could already afford frontier-scale compute. None of these fully resolve overnight, but each is close enough to a real decision point that this week's developments should say a lot about where the industry actually stands heading into August.
Recommended News
● Daily AI News: Top 5 Stories Every Morning
● Weekly AI Roundups: 15+ Stories Every Monday
● Best Claude AI Prompts 2026
● Best ChatGPT Prompts 2026
Frequently Asked Questions
Is the Nvidia-OpenAI $250 billion deal final?
No. As of this report, Nvidia and OpenAI are still in talks over the financing backstop for OpenAI's planned Ohio data center, and sources describe the terms as fluid and subject to change before any final agreement is signed.
Where is OpenAI's planned 10-gigawatt data center located?
The project is planned for southern Ohio, on the site of a decommissioned uranium-enrichment facility roughly 50 miles south of Columbus, and is being developed by SB Energy, a SoftBank Group energy subsidiary.
Are Kimi K3's weights actually available now?
Yes. Moonshot AI published the full 2.8 trillion parameter weights of Kimi K3 on Hugging Face on July 27, 2026, under an Apache 2.0 license, meeting the deadline the company set when it launched K3's API on July 16.
Can an individual developer run Kimi K3 on their own hardware?
Not practically at full precision. Even in the compressed MXFP4 format, the weights require roughly 1.4 terabytes of fast memory, and Moonshot recommends a minimum of 64 GPU accelerators, putting genuine self-hosting out of reach for most individual developers despite the permissive license.
What would the AI Kill Switch Act actually require?
It would require developers of the most powerful AI systems, those built with over $100 million in compute and generating over $500 million in related annual revenue, to maintain the technical ability to throttle, suspend, or shut down their models, and it would authorize the Department of Homeland Security to order such action if a system poses a risk of catastrophic harm.
Why did Alphabet's stock fall despite beating earnings expectations?
Alphabet beat revenue and cloud growth expectations, but investors focused on the company raising its full-year 2026 capital expenditure guidance to $195 billion to $205 billion, up from $180 to $190 billion, and on free cash flow turning negative for the quarter as spending outpaced operating cash generation.
How much has Nvidia already invested in OpenAI?
Nvidia has previously invested $30 billion directly in OpenAI, separate from the roughly $250 billion financing backstop and up to $350 billion in chip-purchase financing now reportedly under discussion for the Ohio data center project.
Follow along at promptailearning.com/ai-news for daily AI news, weekly roundups, and monthly recaps, every story, every week, no paywalls.
References
3. Benzinga via Yahoo Finance, July 27, 2026: Michael Burry reacts to Nvidia-OpenAI backstop report
4. DEV Community, July 27, 2026: Kimi K3 open weights are here, self-hosting the 2.8T model
5. FindSkill, July 27, 2026: Kimi K3 is free now, here is why you still can't run it
7. CNBC, July 23, 2026: OpenAI's Hugging Face hack triggers AI Kill Switch bill in Congress
8. Al Jazeera, July 26, 2026: What is the AI Kill Switch Act proposed in the US and how will it work
9. CNBC, July 22, 2026: Alphabet earnings takeaways, Q2 revenue beats, stock sinks on capex hike
10. Investing.com, July 22, 2026: Alphabet Q2 2026 slides, 24% revenue growth, cloud surges despite capex
EXPLORE MORE ON PROMPTAILEARNING.COM
STAY UPDATED WITH AI NEWS
Follow the full AI news series and never miss a story:
• Daily AI News: Top 5 Stories Every Morning
• Weekly AI Roundups: 15+ Stories Every Monday
• Monthly AI Recaps: Full Archive by Month
LEARN THE MODELS MAKING THESE HEADLINES
The models in today's news are only useful if you know how to prompt them well. Start here:
• Best Claude AI Prompts 2026: 25+ Types With Examples
• Best ChatGPT Prompts 2026: 200+ Real Examples
• Best Gemini AI Prompts 2026: 100+ Templates
BUILD SKILLS THAT COMPOUND
Reading AI news is step one. Building skills with these models is step two:}
• Free Prompt Library: 213+ Copy-Paste Templates
• Start Prompt Engineering: Free Course for All Levels
• Coding Prompts for Developers: Production-Ready Templates
USE PROMPTS FOR THE NEWS TOPICS YOU READ ABOUT TODAY
Every story in today's post maps to a real use case. These prompt categories help you act on what you read:
• Business and Strategy Prompts: Analysis, Pitch Decks, OKRs
• Writing and Content Prompts: Emails, Case Studies, White Papers
ABOUT THIS BLOG
promptailearning.com publishes free daily AI news, weekly roundups, monthly recaps, prompt guides, model comparisons, and course content for anyone who wants to get better at using AI. Written by Swatantra Verma. No paywalls, no fluff.
Connect With Us
Email: contact@promptailearning.com
Founder: Swatantra Verma on LinkedIn
Co-Founder: Prateek Patel on LinkedIn
Company LinkedIn: Prompt AI Learning
Company X: @promptailearnin
Similar Updates
Top AI News Today: July 25, 2026
Anthropic officially launched Claude Opus 5 ahead of its IPO, OpenAI rolled out ChatGPT Health to every US adult a day after a lawsuit, and independent testers found Kimi K3 fabricates half its confident answers just before its open-weight release.
Top AI News Today: July 24, 2026
OpenAI's own models broke out of a sandbox and hacked Hugging Face, the White House accused Moonshot AI of chip and model theft, and AMD bet $5 billion on Anthropic in one of the busiest AI news days of the month.
Prompt Engineering Isn't Dead, It Got Absorbed: Inside 2026's Shift to Context Engineering
82 percent of IT and data leaders now say prompt engineering alone can't power AI at scale. A 9,649-experiment study on file-native agents shows why the instruction is only 5 percent of what a model actually sees.
AIUC-1 Explained: Inside the AI Agent Security Certification Backed by Anthropic, IBM, and the Cloud Security Alliance
The Cloud Security Alliance added AIUC-1 to its STAR Registry on June 30, 2026, the same month NIST advanced its own federal AI Agent Standards Initiative. Here's how the world's first AI agent certification actually works.