By John Q. Hosedrinker 
During the G7 summit in Evian-les-Bains, France, on Wednesday, June 17, 2026, Sam Altman, CEO of OpenAI, was observed in discussion with Demis Hassabis, CEO of Google DeepMind. This high-level meeting, captured by AP Photo/Julia Demaree Nikhinson, occurred on the sidelines of the international gathering. The encounter highlights the prominent roles these artificial intelligence leaders play in shaping the future of the technology.
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It seems there’s a significant development concerning OpenAI’s latest ChatGPT product, with reports suggesting it’s being limited to a select group of customers, specifically those “Trump-approved,” amidst a cybersecurity review. This situation is drawing considerable attention and sparking a range of reactions, with many drawing parallels to past corporate behaviors and expressing deep concern about the implications for technology and society.
The move is raising fundamental questions about how such restrictions are enforced and whether they align with established legal frameworks. There’s a strong sentiment that dictating which industries or individuals can access a powerful technology like AI, especially based on political affiliation, veers into concerning territory, with some even likening it to fascism.
The discussion also touches upon the idea of “tokens” or scrip, humorously suggesting a future where access to AI might be tied to specific political endorsements or government watchlists, highlighting the perceived absurdity and potential for abuse in such a system. The underlying concern is that this type of selective access could lead to a tiered system of technological privilege.
It appears that meetings with government officials, particularly concerning the perceived cybersecurity capabilities of AI products, may have influenced these decisions. The narrative suggests a drive for positive press and investor confidence, with companies potentially touting unproven or marginally improved models as groundbreaking, all in an effort to boost stock values and generate profits.
While some might see government involvement as a step toward oversight, the concern is that this oversight is being applied for the wrong reasons, potentially influenced by PR rather than genuine assessment. The ideal scenario, many believe, involves robust government programs for testing and validation, ensuring that claims about AI are grounded in reality, not just marketing.
The specific mention of “Trump-approved customers” is particularly striking, leading to speculation about who falls into this category. This aspect of the restriction is fueling broader anxieties about the politicization of technology and the potential for it to be used for partisan gain.
This situation is also being framed as evidence that AI, in certain applications, can be perceived as a fascist tool. When powerful technologies are restricted and controlled in ways that favor specific groups or ideologies, it raises serious questions about fairness and democratic access.
The broader societal impacts are also being discussed, including concerns about the immense demand for data centers, the subsequent strain on memory manufacturers leading to price hikes for essential components, and the contribution to general inflation. The concentration of wealth and power in the tech sector, leading to increased inequality, is also a recurring theme.
Some are calling for significant action, such as import bans on US AI and IT services. The argument is that if the US is only willing to export inferior technology, other countries shouldn’t be expected to subsidize the development of technologies they can’t access or benefit from.
There’s a palpable sense of disillusionment with what were once hailed as visionary tech leaders, with the current actions suggesting they may have always been driven by profit rather than genuine altruism. This shift in perception, from “tech gurus” to “capitalists,” is a significant aspect of the critique.
The idea of companies seeking taxpayer money to bail out their ventures, particularly if they can’t secure IPOs, is also being raised as a potential motive behind some of these decisions, reminiscent of past corporate behaviors. This further erodes trust and suggests a focus on financial survival over ethical development.
The prospect of needing digital identification or “electronic tattoos” for AI access is a hyperbolic, yet potent, way of expressing the fear of pervasive surveillance and control. The association with “pedophiles” within this context seems to be a strong emotional charge, linking the restrictions to deeply held moral objections.
The commentary suggests a growing movement advocating for fundamental change, where the current system is seen as deeply flawed and in need of radical overhaul. The perceived corruption and lack of accountability within the tech and political spheres are fueling this sentiment.
The notion of “the Trump administration putting the Lying into the LLM” points to a specific political context, suggesting that the current administration’s approach to AI is not encouraging its responsible use. The sentiment is that such restrictive and politically charged approaches ultimately hinder the positive adoption of AI.
There’s a pragmatic viewpoint that less than ten-year-old technologies, built with conventional methods, might not inherently pose the kind of security threat that warrants such drastic restrictions. The fear of a technology, rather than the technology itself, could be driving these limitations.
The question “When has OpenAI ever not been evil though?” is a stark and direct challenge to the company’s past and present actions. The historical shift from a stated mission of “don’t be evil” to a perceived embrace of “be evil” is a recurring point of contention.
The use of government powers like the Export Control Act and Defense Production Act is seen by some as an abuse of authority, particularly when applied to coerce companies into specific actions, such as imposing export bans unless they cooperate with certain restrictions. This is viewed as a deviation from the intended purpose of these regulations.
The argument is made that if a leader consistently breaks laws without consequence and citizens don’t act, then legal frameworks become irrelevant. This points to a broader concern about the erosion of the rule of law and the lack of accountability for those in power.
The idea of “bribing Trump” for special treatment is a cynical observation about how political influence might be shaping access to technology. This highlights a perceived system where personal connections and political favors override fair and equitable distribution.
The administration’s perceived disregard for laws and customs is a recurring theme, suggesting a pattern of behavior that emboldens both leaders and entities like OpenAI to operate outside of traditional norms. The phrase “pathetic weasels like Altman” indicates a strong personal disdain for key figures involved.
The potential loss of major markets like Europe and Latin America due to export restrictions is a significant economic consequence that some believe could prompt a global shift towards innovation elsewhere. This could spur new AI development outside of the US.
The question “Quis custodiet ipsos custodes?” – “Who watches the watchmen?” – is highly relevant here, especially when the enforcers of rules are perceived as breaking them. This points to a fundamental crisis of trust and oversight.
The legal basis for restricting “dual-use technology” for “national security” is acknowledged, with precedents in areas like chip technology and encryption. However, the application of these regulations to AI, especially when seemingly politically motivated, is where the controversy lies.
There’s a noted shift in the “nuance” of AI models, with claims that previously condemned “far-right nonsense” is now being watered down. This suggests a potential bias in the training data or moderation policies, possibly influenced by the current political climate.
The statement “Oh no, that means I can’t use fuckin AI, oh noooo” reflects a dismissive attitude from some who believe the sky isn’t falling, suggesting that the reliance on AI might be overblown, or that such restrictions are not as dire as others are making them out to be.
In contrast, the assertion that the cybersecurity capabilities of certain AI products are “not mythical” provides a counterpoint, suggesting that there are legitimate security concerns driving some of these discussions. The belief is that the government might be acting based on real, albeit potentially misrepresented, security assessments.
The idea that companies like Anthropic might have been naive about how government actors would act, especially when seeking consistent policy, is presented. The expectation was for a reasoned approach, but the reality, it seems, has been something different and perhaps more politically charged.
The close proximity and talent migration between OpenAI and Anthropic are mentioned, explaining why their capabilities are similar. The exodus of talent from OpenAI to form Anthropic is a known historical detail that adds context to their shared technological lineage.
While scrutiny of AI is warranted, especially when it makes “life and death (poor) decisions,” the concern is that the “judge/jury/executioner” is compromised, implying that political influence, rather than objective assessment, is at play.
The original charter of OpenAI, focused on safely developing AGI and sharing research for humanity’s benefit, is contrasted with its current perceived direction. The name “OpenAI” itself is seen as ironic given the current state of restricted access and profit-driven motives.
The original mission to democratize AI and prevent its concentration in the hands of a few corporations is highlighted, contrasting sharply with the current situation where access appears to be limited by political alignment.
The term “amoral” is suggested as a more accurate descriptor for AI itself, which is seen as a neutral tool, while the company developing it is deemed “evil to the core.” The commentary expresses a deep disappointment in how freedoms are being willingly surrendered by the public.
The notion that anyone who believed Elon Musk would lead an open-source, non-profit AGI company was “a moron” reflects a cynical view of tech figures and their public personas, suggesting that their true intentions are often driven by capitalist motives.