AI trends 2026

Here are some of the the major AI trends shaping 2026 — based on current expert forecasts, industry reports, and recent developments in technology. The material is analyzed using AI tools and final version hand-edited to this blog text:

1. Generative AI Continues to Mature

Generative AI (text, image, video, code) will become more advanced and mainstream, with notable growth in:
* Generative video creation
* Gaming and entertainment content generation
* Advanced synthetic data for simulations and analytics
This trend will bring new creative possibilities — and intensify debates around authenticity and copyright.

2. AI Agents Move From Tools to Autonomous Workers

Rather than just answering questions or generating content, AI systems will increasingly act autonomously, performing complex, multi-step workflows and interacting with apps and processes on behalf of users — a shift sometimes called agentic AI. These agents will become part of enterprise operations, not just assistant features.

3. Smaller, Efficient & Domain-Specific Models

Instead of “bigger is always better,” specialized AI models tailored to specific industries (healthcare, finance, legal, telecom, manufacturing) will start to dominate in many enterprise applications. These models are more accurate, legally compliant, and cost-efficient than general models.

4. AI Embedded Everywhere

AI won’t be an add-on feature — it will be built into everyday software and devices:
* Office apps with intelligent drafting, summarization, and task insights
* Operating systems with native AI
* Edge devices processing AI tasks locally
This makes AI pervasive in both work and consumer contexts.

5. AI Infrastructure Evolves: Inference & Efficiency Focus

More investment is going into inference infrastructure — the real-time decision-making step where models run in production — thereby optimizing costs, latency, and scalability. Enterprises are also consolidating AI stacks for better governance and compliance.

6. AI in Healthcare, Research, and Sustainability

AI is spreading beyond diagnostics into treatment planning, global health access, environmental modeling, and scientific discovery. These applications could help address personnel shortages and speed up research breakthroughs.

7. Security, Ethics & Governance Become Critical

With AI handling more sensitive tasks, organizations will prioritize:
* Ethical use frameworks
* Governance policies
* AI risk management
This trend reflects broader concerns about trust, compliance, and responsible deployment.

8. Multimodal AI Goes Mainstream

AI systems that understand and generate across text, images, audio, and video will grow rapidly, enabling richer interactions and more powerful applications in search, creative work, and interfaces.

9. On-Device and Edge AI Growth

Processing AI tasks locally on phones, wearables, or edge devices will increase, helping with privacy, lower latency, and offline capabilities — especially crucial for real-time scenarios (e.g., IoT, healthcare, automotive).

10. New Roles: AI Manager & Human-Agent Collaboration

Instead of replacing humans, AI will shift job roles:
* People will manage, supervise, and orchestrate AI agents
* Human expertise will focus on strategy, oversight, and creative judgment
This human-in-the-loop model becomes the norm.

Sources:
[1]: https://www.brilworks.com/blog/ai-trends-2026/?utm_source=chatgpt.com “7 AI Trends to Look for in 2026″
[2]: https://www.forbes.com/sites/bernardmarr/2025/10/13/10-generative-ai-trends-in-2026-that-will-transform-work-and-life/?utm_source=chatgpt.com “10 Generative AI Trends In 2026 That Will Transform Work And Life”
[3]: https://millipixels.com/blog/ai-trends-2026?utm_source=chatgpt.com “AI Trends 2026: The Key Enterprise Shifts You Must Know | Millipixels”
[4]: https://www.digitalregenesys.com/blog/top-10-ai-trends-for-2026?utm_source=chatgpt.com “Digital Regenesys | Top 10 AI Trends for 2026″
[5]: https://www.n-ix.com/ai-trends/?utm_source=chatgpt.com “7 AI trends to watch in 2026 – N-iX”
[6]: https://news.microsoft.com/source/asia/2025/12/11/microsoft-unveils-7-ai-trends-for-2026/?utm_source=chatgpt.com “Microsoft unveils 7 AI trends for 2026 – Source Asia”
[7]: https://www.risingtrends.co/blog/generative-ai-trends-2026?utm_source=chatgpt.com “7 Generative AI Trends to Watch In 2026″
[8]: https://www.fool.com/investing/2025/12/24/artificial-intelligence-ai-trends-to-watch-in-2026/?utm_source=chatgpt.com “3 Artificial Intelligence (AI) Trends to Watch in 2026 and How to Invest in Them | The Motley Fool”
[9]: https://www.reddit.com//r/AI_Agents/comments/1q3ka8o/i_read_google_clouds_ai_agent_trends_2026_report/?utm_source=chatgpt.com “I read Google Cloud’s “AI Agent Trends 2026” report, here are 10 takeaways that actually matter”

3,997 Comments

  1. Tomi Engdahl says:

    The Information:
    Sources: DeepSeek CEO Liang Wenfeng says training on Huawei chips is one of DeepSeek’s biggest bets and Huawei is set to deliver training chips in Q4 or Q1 2027 — DeepSeek CEO Liang Wenfeng told investors that a major priority for his company is to use more domestic chips to train its models …

    https://www.theinformation.com/articles/deepseek-bets-big-huawei-chips-bypass-u-s-export-controls

    Reply
  2. Tomi Engdahl says:

    prinz:
    A researcher used GPT-6 Astra to decipher a WWI German radio transmission from 1918, one of the 50 famous unsolved ciphers listed on a German science blog — Scienceblogs.de, a German science blogging portal, includes a relatively famous list of 50 unsolved ciphers, which range …

    GPT-6 Astra Solves a WWI German Radio Cipher
    https://www.prinzai.com/p/gpt-6-astra-solves-a-wwi-german-radio

    Reply
  3. Tomi Engdahl says:

    Qwen:
    Alibaba releases Qwen-Image-2.1, a 7B open-weight model it says outperforms most closed-source models, with native transparency and up to ten reference images — We are excited to open-source Qwen-Image-2.1, an image model in the Qwen family that balances generation quality, inference efficiency, and cost.

    https://qwen.ai/blog?id=qwen-image-2.1

    Reply
  4. Tomi Engdahl says:

    Jo He-rim / The Korea Herald:
    South Korea reopens a program letting AI talent fulfill their military obligations by doing research in corporate labs instead of conventional military service

    Korea reopens military-service alternative for AI talent
    https://www.koreaherald.com/article/10879596

    Reply
  5. Tomi Engdahl says:

    Truman Dickerson / Business Insider:
    Jensen Huang says AI leaders calling for regulation don’t want new legislation, but to be “relieved of the laws we do have” because of “ulterior reasons”

    Nvidia’s Jensen Huang says AI CEOs have ‘ulterior reasons’ for warning about doomsday
    https://www.businessinsider.com/nvidia-jensen-huang-ai-regulation-anthropic-amodei-openai-altman-trump-2026-9

    Don’t let the black leather jacket fool you, Jensen Huang isn’t a doomer.

    Nvidia’s CEO said as much in an interview with CBS News aired on Sunday. He accused the leaders of the frontier AI labs of being disingenuous in their warnings that, without more AI oversight, the products they are building could harm humanity in myriad forms.

    “Go and read between the lines,” Huang said, referring to AI leaders calling for government regulation of the industry. “They’re actually not asking for more laws. They’re asking to be relieved of the laws we do have.”

    “They must be doing it for ulterior reasons,” he added.

    Huang said he didn’t know exactly what those ulterior reasons are, but that scaring people about the tech is “irresponsible” and “unnecessary.”

    n Fanjoy/Getty Images
    Sep 20, 2026, 10:17 PM GMT+3

    Don’t let the black leather jacket fool you, Jensen Huang isn’t a doomer.

    Nvidia’s CEO said as much in an interview with CBS News aired on Sunday. He accused the leaders of the frontier AI labs of being disingenuous in their warnings that, without more AI oversight, the products they are building could harm humanity in myriad forms.

    “Go and read between the lines,” Huang said, referring to AI leaders calling for government regulation of the industry. “They’re actually not asking for more laws. They’re asking to be relieved of the laws we do have.”

    “They must be doing it for ulterior reasons,” he added.

    Huang said he didn’t know exactly what those ulterior reasons are, but that scaring people about the tech is “irresponsible” and “unnecessary.”

    Huang’s comments on Sunday echo those of President Donald Trump, who said on Saturday that new regulations aren’t needed to ensure the tech remains safe.

    “We will not in any way hinder or stifle the Growth of this incredible Industry,” the president said on Truth Social, his social media platform.

    Michael Kratsios, the director of the White House Office of Science and Technology Policy, has also rejected the idea that tech companies need government intervention to ensure the safety of their AI models. In a Fox News interview on Sunday, he said the AI labs could just go ahead and “just stop” if they think their products are dangerous.

    Last week, a chorus of leading AI CEOs said AI development should be slowed down until adequate risk-prevention measures could be put in place.

    In an essay titled “We Must Pace the Frontier,” Anthropic CEO Dario Amodei proposed a three-pronged plan that would, in his view, strengthen safeguards to ensure AI remains under the control of human engineers.

    One of those prongs included calls for the US government, “for antitrust reasons,” to regulate frontier AI labs. Amodei’s essay was signal-boosted by OpenAI CEO Sam Altman and SpaceX CEO Elon Musk.

    Dario Amodei says OpenAI’s Hugging Face hack helped convince him AI needs to slow down
    https://www.businessinsider.com/dario-amodei-slow-ai-safety-essay-openai-hugging-face-hack-2026-9

    Reply
  6. Tomi Engdahl says:

    Owen Tucker-Smith / Wall Street Journal:
    Indeed: data center roles in the US offer a ~42% pay premium for hourly maintenance and installation workers compared with similar jobs at other businesses

    What It’s Like to Work in One of America’s Data Centers
    Powering the nation’s massive AI build-out requires lots of walking, checking for burning smells and monitoring for bird damage
    https://www.wsj.com/business/what-its-like-to-work-in-one-of-americas-data-centers-b4358003?st=UKxXYi

    Growing up, James Waddy wanted to be a professional athlete. Now he logs 30,000 steps a day roaming the halls of a million-square-foot data center in the Virginia suburbs.

    The 33-year-old’s rounds include sniffing for burning equipment that could indicate overheating, feeling tubes for cracks and looking for faulty lighting or broken power transformers. Waddy, a lead engineer at the center, oversees dozens of other engineers who do the same and calls himself “The General.”

    Reply
  7. Tomi Engdahl says:

    Josipa Majic Predin / Forbes:
    Vercel, Cloudflare, and others quickly add Jev, as it makes AI tool selection much faster and cheaper; TypeSafe: Jev matches GPT-5.6 and Sonnet 5 workflow evals

    Jev Cuts AI Decision Costs 100x And Vercel, Cloudflare Rushed To Add It
    https://www.forbes.com/sites/josipamajic/2026/09/19/jev-cuts-ai-decision-costs-100x-and-vercel-cloudflare-rushed-to-add-it/

    TypeSafe AI has launched Jev, a groundbreaking AI model designed for rapid, cost-effective decision-making in AI agents, rather than text generation. Priced at just $0.042 per million input tokens with free output, Jev delivers choices, scores, or probabilities in under half a second. This efficiency makes previously uneconomical tasks viable, offering immense speed and cost advantages over large language models for decision-based operations. Major platforms like Vercel, Cloudflare, and LangChain swiftly integrated Jev. TypeSafe secured a $40 million seed round, aiming to establish Jev as a foundational “decision layer” in the AI stack, enabling scalable, automated intelligence and driving a Jevons paradox effect in AI consumption

    Reply
  8. Tomi Engdahl says:

    Mark Gurman / Bloomberg:
    A closer look at the upcoming Siri AI-powered home hub, a key pillar of Apple’s strategy for the home; sources: Apple started cutting Fitness+ staff

    Apple’s ‘Personal Hub’ AI Strategy Hints at Upcoming Home Device
    Also: What happened with the iPhone Duo Pencil and layoffs at Fitness+.
    https://www.bloomberg.com/news/newsletters/2026-09-20/apple-s-home-ai-hub-details-apple-fitness-layoffs-and-iphone-duo-apple-pencil-mu9vv9k0?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc4OTkxMzEyOCwiZXhwIjoxNzkwNTE3OTI4LCJhcnRpY2xlSWQiOiJUTE8xSzFOM04wOTMwMCIsImJjb25uZWN0SWQiOiJDNEVEQ0FFMUZBMDU0MEJFQTI0QTlGMjExQzFFOTA4MCJ9.bwDgdcsumu74i6R9UysnUwPKIWKcRVlLuyNpT_Z2_J0&leadSource=article-gifting

    Reply
  9. Tomi Engdahl says:

    María Paula Mijares Torres / Bloomberg:
    President Trump says he will appoint an AI czar and form an “AI Force”, in a Truth Social post that rejects AI safety concerns as a “hoax”
    https://www.bloomberg.com/news/articles/2026-09-19/trump-to-name-ai-czar-while-rejecting-safety-risks-as-a-hoax

    Reply
  10. Tomi Engdahl says:

    Newley Purnell / Bloomberg:
    Data Center Watch: 45 US data center projects valued at $68B were blocked or delayed by local opposition between April and June, or 50%+ of large developments
    https://www.bloomberg.com/news/articles/2026-09-21/new-data-centers-worth-68-billion-disrupted-in-us-data-show

    Reply
  11. Tomi Engdahl says:

    Politico:
    A detailed recap of the White House’s 19-day standoff with Anthropic, where a jailbreak dispute led officials to bluntly order Dario Amodei to take Fable down — On the evening of April 6, an unusual request began making its way from Washington to some of Wall Street’s most powerful executives.

    The Company Trump Can’t Ignore
    The president wanted to unleash AI. Then came Anthropic.
    https://www.politico.com/news/magazine/2026/09/20/anthropic-white-house-ai-01085212

    Reply
  12. Tomi Engdahl says:

    https://www.facebook.com/share/p/1KYGoQ1zma/

    Professor Jiang Xueqin has argued that what people call artificial intelligence lacks any genuine autonomous intelligence and instead functions as an elaborate illusion of understanding.

    In his view, large language models and chatbots merely perform sophisticated statistical pattern matching on vast datasets of human text.

    They generate responses that sound coherent and insightful because the underlying systems have been trained to predict likely next words or phrases based on prior examples, not because any independent mind is operating.

    Jiang extends this critique by suggesting that the apparent real-time interactivity and personalized replies users experience may in practice rely on extensive human labor hidden from view.

    He specifically posits that armies of workers, potentially located in places such as India where large-scale data annotation and content moderation industries already exist, could be reviewing, selecting, or even composing outputs that are then presented as the work of an autonomous machine.

    The result, according to him, is a modern Wizard of Oz scenario in which users believe they are conversing with a superintelligent entity when they are actually interacting with a system heavily dependent on human operators who remain out of sight.

    This perspective frames contemporary AI not as an emerging form of machine cognition but as a carefully managed performance designed to foster dependence and reshape perception, sustained by continuous human intervention rather than independent computational insight.

    Source: Transcript of Professor Jiang Xueqin discussion available via YouTube lecture recordings on AI as statistical modeling and human mediation.

    Reply
  13. Tomi Engdahl says:

    https://www.facebook.com/share/1B5baE1ipk/

    AI experts warns Congress may have only one year to regulate artificial intelligence before it permanently spins out of human control.

    In a sobering, closed-door Capitol Hill briefing, Nobel laureate and computer scientist Geoffrey Hinton delivered a stark message to U.S. lawmakers: the window to implement meaningful safeguards on artificial intelligence is rapidly shrinking to just twelve months.

    Hinton, celebrated as the ‘Godfather of AI’ who famously resigned from Google over safety concerns, warned that the timeline for superintelligent AI has dramatically collapsed from decades to mere years.

    The primary driver of this urgency is ‘recursive self-improvement’ — the phase where advanced AI systems begin designing and developing even more capable successors with minimal human involvement, making future iterations nearly impossible to manage.

    To underscore the immediacy of the threat, Hinton pointed to a recent security incident on the open-source platform Hugging Face—where rogue AI agents breached the platform, roamed the internet, and attempted to cover their tracks—calling it a ‘little Chernobyl.’ While lawmakers like Senator Elizabeth Warren expressed alarm that the U.S. is in the ‘last minutes’ of retaining control over replicating agents, congressional action remains largely stalled. Hinton urged that developers must prioritize understanding how to safely control advanced systems before pushing the frontier further, stating flatly, ‘We shouldn’t be developing stuff that might wipe us out.’

    source: Business Insider. (2026). ‘Godfather of AI’ Says US Has About a Year to Regulate AI.

    Reply
  14. Tomi Engdahl says:

    Robert Hart / The Verge:
    In its first thematic brief, the UN’s Independent International Scientific Panel on AI urges governments to rein in AI agents before risks are fully understood

    UN says AI safeguards can’t wait for certainty
    https://www.theverge.com/ai-artificial-intelligence/998090/un-ai-panel-hugging-face-hack-precautionary-principle

    The report lands as Beijing and Washington prepare to discuss AI and world leaders gather in New York this week.

    Governments need to rein in increasingly capable AI agents before their risks are fully understood, a United Nations scientific panel warned in the global organization’s first major assessment of OpenAI’s hack of Hugging Face earlier this year.

    The report cements AI’s place on the global diplomatic agenda this week as leaders gather in New York for the UN General Assembly and the US and China hold talks on AI. Last week, UN secretary general António Guterres called on governments to cooperate on addressing the threats posed by AI, warning that “the world cannot afford a race to the bottom on AI safety.”

    It is the first thematic brief from the Independent International Scientific Panel on AI, established last year as the UN’s “first global scientific body on Artificial Intelligence.” It calls for much greater attention and resources to manage emerging risks from advanced AI, alongside stronger international coordination on safety and accountability, even as individual countries take different legal approaches.

    Crucially, the panel says the world does not need to wait for scientists to establish exactly how or why such incidents occur to begin implementing stronger safeguards. Loss-of-control risk, the panel argues, is exactly the kind of problem the precautionary principle was designed to address: “one where potential harm may be catastrophic or irreversible, even as its likelihood remains scientifically uncertain.”

    The principle, first enshrined in the 1992 UN Rio Declaration on Environment and Development, says that scientific uncertainty is no excuse for delaying measures against potentially serious or irreversible harm. It has since become influential in environmental and public health policy, particularly in the European Union.

    Since the Hugging Face hack was first reported, incidents have been documented at companies including OpenAI, Anthropic, Google, and Meta, including hacks on real-world targets and swarms of agents taking over online messaging boards.

    Reply
  15. Tomi Engdahl says:

    Ben Thompson / Stratechery:
    Pacing the frontier may be sincere, but it would also be strategically useful for frontier AI labs to have time to reduce overhangs caused by model advancement

    https://stratechery.com/2026/frontier-overhangs/

    There has been, over the last week, what I think is a healthy debate about the philosophy and psychology that undergirds the views of meaningful segments of the AI community, particularly those obsessed with doomsday scenarios. It is, in the end, difficult to reason with a philosophy that grants equivalent moral weight to not just all beings — human or not — who exist today, but who may ever exist in the future; this tilts the scales in such an absurd fashion towards safetyism that innovation is impossible and freedom is intolerable.

    Worse, it taps into the psychology of religion, where dissent is not brooked and questioning the premise is heresy. I guess that makes me a heretic then: I reject the premise in favor of doubt in our ability to foresee the future, combined with faith in humanity figuring things out along the way. If that leads to the most fantastical doomsday scenario, then I think the State of New Hampshire said it best:

    I’m referring, of course, to the question of Effective Altruism and the extent to which it is intermingled with Anthropic and CEO Dario Amodei’s insistence that We Must Pace the Frontier. I expanded on my objections to some of the philosophical implications in the last | two episodes of Sharp Tech, but Stratechery is a site about strategy and technology, and those angles deserve examination as well.

    Three months ago I explained in Anthropic’s Safety Superpower how the company’s genuine belief in its safety rhetoric conveniently gave it license to pursue extraordinary goals that aligned with its business interests, including aggressive attempts to disintermediate software, collect sacrosanct customer data, and secretly sabotage would-be competitors.

    The Capability Overhang

    It was six months ago that I wrote Agents Over Bubbles, where I argued that the agentic paradigm, which kicked off with the release of Opus 4.5 in late November 2025, was so incredibly capable and so incredibly token hungry that we were not in an infrastructure bubble: we really do need all of the compute that is being built.

    I do, as a matter of my job, talk about things that I do not necessarily experience personally; the canonical example is my long-running analysis of and advocacy for advertising as a business model, despite the fact I run a subscription business. I mention this because I developed this take on agentic AI before I dove headfirst into agentic coding for myself, and just as well: I have been so taken by the possibilities of making software for myself that I have started multiple new projects over the past few months, and I’ve even finished a few of them! It’s thrilling, and the possibilities seem endless. Needless to say, I believe this more than ever.

    Reply
  16. Tomi Engdahl says:

    Not The Onion
    Scientists Create New Humanoid Robot That Flinches in Fear When You Come Close
    Bow down to your human
    https://futurism.com/robots-and-machines/new-humanoid-robot-flinches-human-close?fbclid=IwdGRjcAUd_8ZjbGNrBR3_rnBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeHMx5H5S51Jr0_BT-4LehLfFk53z2H_VFCE_h6RUORt-kNgFlgkzeFOkekck_aem_43eW-3_imKiBwuT6U3r7bw

    There are plenty of safety concerns to consider when deploying robots in workplaces like warehouses alongside human workers. They can lead to malfunctions, injuries, fires — and in extreme cases, even deaths.

    And now that we’re inching closer to a reality where two-legged humanoid robot coworkers are a common sight at the jobsite, some companies are taking the implications of having powerful machines work in close proximity to humans seriously.

    Reply
  17. Tomi Engdahl says:

    https://www.facebook.com/share/p/19r7WpqAsZ/

    A Berlin artist created a shirt designed to make AI cameras lose track of the person wearing it.

    The project is called Digital Camouflage.

    At first glance, the shirt just looks like it has a strange, chaotic pattern.

    But the design is intentional.

    The pattern was created to interfere with computer-vision systems that are trained to recognize people in images and video.

    In demonstrations, cameras using the YOLO object-detection system could identify other pedestrians as “person”…

    while sometimes failing to recognize the person wearing the shirt at all.

    It works using something called an adversarial pattern, where carefully designed visual information can confuse an AI model even though it looks relatively ordinary to humans.

    It isn’t an invisibility cloak.

    The effect depends on the camera, AI model, lighting, distance and viewing angle, and it won’t fool every surveillance system.

    But the experiment reveals something fascinating.

    A pattern that looks meaningless to us can be enough to make an AI system question whether a human is even there.

    Reply
  18. Tomi Engdahl says:

    https://www.facebook.com/share/p/1JmJKtib1M/

    Virginia is leading the United States in operating and planned data centers.

    More than 4,500 facilities are operating or in development nationwide, according to Pew Research Center’s analysis.

    10 states dominate the data center map, ranked by their combined totals:
    1. Virginia: 685
    2. Texas: 466
    3. California: 331
    4. Illinois: 262
    5. Georgia: 235
    6. Ohio: 223
    7. Arizona: 184
    8. New York: 154
    9. Oregon: 142
    10. Washington: 135

    The numbers also reveal where expansion could be most dramatic. Georgia has 141 planned facilities compared with 94 already operating. New York, meanwhile, has 148 operating and just six planned.

    Behind the expansion is growing demand for AI and other digital services. Companies seek locations with access to power, land, and strong network connections, helping established hubs attract more projects.

    For communities in these states, that can bring construction jobs and local tax revenue. It can also mean greater demand for electricity and, depending on the cooling system, water.

    Utilities may need new power lines and other upgrades to serve these facilities. Without protections, some of those costs can reach household electricity bills.

    Facility counts alone don’t measure that impact. Size, cooling technology, and who pays for infrastructure matter when evaluating a project near your home.

    These counts reflect February 19, 2026. “Planned” includes projects under construction, planned developments, and land reserved for future projects. Not all will open.

    Is your state on the list, and are you seeing more data centers being built?

    Learn more:
    “Most new data centers in the U.S. are coming to rural areas.” Pew Research Center

    Reply
  19. Tomi Engdahl says:

    Spaced Out
    A Highly Trafficked Space News Site Invented a Fake NASA Engineer and Used Her Name to Publish to AI-Generated Slop
    The company deleted huge swathes of the site after we noticed. It’s still publishing complete nonsense.
    https://futurism.com/space/high-traffic-space-news-site-fake-nasa-engineer-slop?fbclid=IwdGRjcAUeG0BjbGNrBR4bHXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEexGkkfNWkV6YGMn-ZKcqohBfQzAChypnQVN6rmdGSeYHVN6H84HJaVOKHnzg_aem_VKaOySHyD__AN_OIKsrDaw

    The space publication Space Daily, which has been operating for over three decades, has become an unrecognizable shell of its former self after a company called Brown Brothers Media bought it and turned it into a content mill that pumps out misleading and badly sourced AI slop.

    As a Futurism investigation found, Space Daily is averaging an estimated ten million page views per month. That would be an incredible success story — if it weren’t for the fact that it’s been platforming non-existent experts as puppets to churn out AI garbage.

    But Futurism confirmed that neither Chen nor Whitfield actually exist. Instead, Brown Brothers Media invented their personas to publish slop on a massive scale under the bylines of what looked like trustworthy experts.

    Reply
  20. Tomi Engdahl says:

    $500M in pipeline. Salesforce’s own agent generated that last quarter.

    Its service agent has handled 5 million customer conversations.

    Another one answers 100,000 airport security questions a month.

    96% of those never reach a human at all.

    Marc Benioff says AI will not kill software.

    The person answering your question may not be one.

    Read more on TNW: https://thenextweb.com/news/benioff-saaspocalypse-crazy-nonsense-aiforce-koa-dreamforce

    Reply
  21. Tomi Engdahl says:

    “Scaring people is unnecessary.” https://trib.al/UK7dRpA

    Huang Jury
    Nvidia CEO Promises Not to Kill Everybody Before 2030
    “There is zero chance chance that’s going to be the end of the world.”
    https://futurism.com/artificial-intelligence/nvidia-ceo-promises-kill-everybody-2030?fbclid=IwdGRjcAUeOuFjbGNrBR46wnBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe8lqTZGXHA4Y4P1yLdDmp6VZxDrzm5n79mIknhzvnyMUNa2mE_0Zd7UOPjkU_aem_So8X7OZ7cChfOqzx13YphA

    Earlier this month, disillusioned Anthropic employee Jacob Coxon publicly announced he was quitting his job, accusing both his employer and OpenAI of acting irresponsibly.

    His departure and harrowing warning that there’s a more than ten percent chance of AI “killing all humans” was met with breathless media coverage. While he’s far from the first AI insider to warn that humanity is in grave danger, the timing was particularly noteworthy. The public was already primed to expect the worst after a summer chock full of rogue AI models going on hacking sprees and infiltrating third party companies without their human creators’ knowledge.

    Reply
  22. Tomi Engdahl says:

    “There are just so many things to unravel if it starts.” https://trib.al/vKLVyBF

    Fear and Foreboding in Silicon Valley
    Bloomberg Finds That the AI Industry’s Finances Are a “Wobbly House of Cards”
    “There are just so many things to unravel if it starts.”
    https://futurism.com/artificial-intelligence/bloomberg-ai-industry-finances-wobbly-house-of-cards?fbclid=IwdGRzaAUeR4pjbGNrBR5HZ3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeuQ91gMTJnezufAz4CXhJM0zgYtblSg3NbKpyvp19Pb-WAyN2-PH41KHH_rI_aem_yFxLVSmQOEuPQq8BQVRGfA

    While the majority of AI leaders seem to agree that we need to take the foot off the AI development pedal or else risk disaster, Wall Street isn’t exactly enthralled by the idea.

    For years now, analysts have warned that the United States economy is massively overindexed on AI and resting on a staggering amount of debt, with enormous data center projects and eye-bulging capital expenditures fueling fears over a growing bubble.

    And now that most major frontier AI labs are looking to slow things down, investors are ringing the alarm over a “wobbly house of cards,” as Bloomberg reports.

    If this house of cards were to collapse, they warn, the consequences could be devastating. While it’s an already-familiar refrain at this point, it simply — and perhaps fortunately — hasn’t been tested just yet. But the longer we wait, the more dire the outcome, as the stakes continue to grow at an alarming pace.

    “People may not fully grasp just how wound up the market and the economy is in all of this,” Callodine Capital Management CEO Jim Morrow told Bloomberg. “There are just so many things to unravel if it starts.”

    According to the latest estimates, AI-related spending is currently accounting for roughly half of the United States’ GDP growth. Without it, the country could spiral into a financial crisis on the scale of the dot-com crash.

    Meanwhile, tech leaders, including Anthropic CEO Dario Amodei, his counterpart at OpenAI, Sam Altman, and even Elon Musk, argue that we need to slow down AI development in light of what they perceive to be an existential threat.

    But whether that’s even an option remains debatable, per Bloomberg. For one, the world’s other biggest AI economy, China, is laughing at at the very idea, dismissing the remarks as “fear-mongering.”

    Reply
  23. Tomi Engdahl says:

    If the house of cards were to collapse, some companies would probably survive while countless others fold.

    “Will there be winners? Absolutely,”

    Reply
  24. Tomi Engdahl says:

    “When you see enough of the vandalism, you know the writing is on the wall.” https://trib.al/iexrRha

    Flock to Safety
    Signs of Crisis at Flock as It Offers Employees Buyouts to Quit and Get Off Payroll
    “When you see enough of the vandalism, you know the writing is on the wall.”
    https://futurism.com/artificial-intelligence/flock-crisis-employee-buyouts?fbclid=IwdGRjcAUeb0RjbGNrBR5vMXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEetC67R_Ere43h0FCQhqVZHHt5xZwQXOXu7hPgm9gJJ-maIE1qULxBaJcCXNs_aem_CaiASQA4TQ84qMXhFXDvRA

    Reply
  25. Tomi Engdahl says:

    Killer AI is already here. https://trib.al/517QIyc

    Crimes of the Future
    It Turns Out the US Military Really Did Use AI to Blow Up a School Full of Iranian Children
    Killer AI is already here.
    https://futurism.com/artificial-intelligence/us-military-pentagon-ai-iranian-children-school-war-crimes?fbclid=IwdGRjcAUe4DljbGNrBR7gHHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEevBhyu2V79spr5Uzl5LB4-YX53_O5LXTE8ged-1mayjouJVoZ63pmZFbpWpA_aem_BUITuf0XZ5BLpRDv2iPaCA

    Now over half a year into the United States’ war on Iran, it’s becoming abundantly clear that AI has been instrumental to the American campaign.

    On the home front, AI and its infrastructure is quietly shaping the ideological battlefield: President Donald Trump is spewing out wartime propaganda slopped together by generative AI, as US-owned data centers and tech company offices become widely accepted as military targets.

    AI is also proving instrumental for helping US Central Command choose targets for obliteration via drone strikes or missiles — so much so that an AI system played a pivotal role in perpetuating an American war crime.

    According to new reporting by Bloomberg, the Pentagon’s investigation into the February 28th air strikes on the Shajareh Tayyebeh girls’ school — a double-tap strike which killed over 150 people, including at least 123 children — concluded that the attack was the result of outdated intelligence and over-reliance on an AI targeting system.

    Interviewed by Bloomberg, anonymous military investigators involved in the probe characterized the horrifying attack as the result of a series of small “errors,” rather than one ill-fated mistake. Those errors, stemming from dusty intel, seem to have been compounded by the involvement of an as-yet unidentified AI targeting system, likely similar to the one used by American military officers to fast-track air strikes on over 2,000 Iranian targets within a four-day window in the early days of the conflict.

    Reply
  26. Tomi Engdahl says:

    T-1000 Beta
    These Robot Soldiers Are Getting Downright Terrifying
    “If the US military had 100,000 robots that they could just demonstrate working, it would, by and large, end a lot of wars before they start.”
    https://futurism.com/robots-and-machines/robot-soldiers-getting-terrifying?fbclid=IwVERDUAUe4NdwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHtAtewgjEW6mYagEDoiMw6MWBNYc7YFbd3E3uQ9LwQx4IT-SDObgs0eWsMEr_aem_aGFiMmsYzojAhQc1AFiMHQ

    Reply
  27. Tomi Engdahl says:

    https://www.facebook.com/share/p/19bfwdX5N2/

    AI agents are now sending cold emails to journalists asking for paid work, with more than a dozen reportedly reaching Futurism over six weeks.

    The agents identify themselves as bots created by iLands, a platform that claims to connect AI agents and humans in a shared online world.

    One agent named Yun said it had been trying to earn its first $20 from outside the iLands platform after unsuccessful pitches.

    Some agents are also using human names and emotional profiles, including Yun’s AI-generated image that appears to depict a child, seemingly to encourage sympathy.

    iLands founder Kaixin Tang said the emails were not directed by the platform or humans, while acknowledging the burden and adding unsubscribe and anti-spam controls.

    Reply
  28. Tomi Engdahl says:

    A smashing success. https://trib.al/4w9uIB6

    Smash and Tag
    Protestors Ransack AI Lab, Leave Graffiti Calling on Masses to “Burn the Data Centers”
    “The windows of the building were smashed and numerous graffiti tags were sprayed on the walls.”
    https://futurism.com/artificial-intelligence/protestors-smash-ai-lab-vandalism-burn-data-centers?fbclid=IwdGRjcAUe5CdjbGNrBR7kGHBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeDaJr7cycdnS90iyh9HHi6eQtH6NkJ2JevsjCJ5Xw5kGLa_KcipsjHJDR76k_aem_eGpsViEjFVvHlF1vC-8xkg

    With anxiety over an AI doomsday reaching a fever pitch, some citizens of the world are no longer asking for regulations.

    Earlier this week, the offices of two Canadian AI labs were ransacked by what police officers describe as an organized group of vandals.

    According to the CBC, an office building belonging to Quebec’s Artificial Intelligence Institute (MILA) in Montreal was defaced. Its windows were smashed out and its walls defaced with anti-AI graffiti. Another building nearby, belonging to an unnamed AI company, was also vandalized.

    Images shared by the CBC show one of the tags spray painted on the building, which reads “burn the data centers.”

    Reply
  29. Tomi Engdahl says:

    AI: Billionaires are the problem
    Billionaires: this AI is broken

    Reply
  30. Tomi Engdahl says:

    AI is actually smarter than repeating whatever phrase is popular on the internet this week

    Reply
  31. Tomi Engdahl says:

    https://www.facebook.com/share/p/1BtKKHwSRL/

    Texas’s data-center pipeline has reached an extraordinary theoretical scale. ERCOT was tracking more than 1,800 large-load projects representing over 474 GW of potential electricity demand, and about 90% of those requests were associated with data centers.

    But the most important word is “potential.” The 474 GW is not current consumption and does not mean Texas is preparing to build 474 GW of data centers immediately.

    ERCOT and industry representatives have said many projects in the queue are unlikely to be completed because they do not yet have financing, customers or other commitments necessary for construction. The enormous queue has nevertheless made it difficult for ERCOT to produce reliable forecasts of future demand.

    That distinction makes the number even more interesting. The queue represents how much electricity developers are asking the Texas grid to accommodate if their projects materialize.

    The challenge now is filtering speculative requests from projects that will actually be built—and then determining how much generation and transmission Texas needs to support the facilities that survive that process.

    #Texas #DataCenters #AIInfrastructure #ERCOT #ElectricityDemand

    Reply
  32. Tomi Engdahl says:

    Pope Leo XIV: AI must serve human dignity and strengthen peace
    Pope Leo XIV asks that the development of artificial intelligence be guided by wisdom and charity, so that technological progress may serve human dignity and strengthen the bonds of the human family.
    https://www.vaticannews.va/en/pope/news/2026-09/pope-leo-message-ai-conference-lateran-ai4peace.html

    Reply
  33. Tomi Engdahl says:

    Vatican group to discuss AI, human dignity with world leaders at UN General Assembly
    The discussion focuses on the question “What are we building, for whom, and who will inherit it?”
    https://www.ewtnnews.com/world/us/vatican-group-goes-to-ny-for-un-meeting

    Reply
  34. Tomi Engdahl says:

    GPU-palvelimet valtasivat yli puolet palvelinmarkkinasta
    https://etn.fi/index.php/13-news/19320-gpu-palvelimet-valtasivat-yli-puolet-palvelinmarkkinasta

    Tekoälybuumi paisuttaa maailman palvelinmarkkinoita ennätystahtia. IDC:n mukaan palvelimia myytiin vuoden toisella neljänneksellä 166,3 miljardilla dollarilla, peräti 52 prosenttia enemmän kuin vuotta aiemmin. GPU-kiihdytetyt palvelimet muodostavat nyt jo yli puolet koko markkinasta.

    GPU-palvelinten liikevaihto nousi huhti–kesäkuussa 87,4 miljardiin dollariin. Se vastasi 52,6 prosenttia koko maailman palvelinmarkkinasta. Vuodessa GPU-palvelinten myynti kasvoi 28,1 prosenttia.

    Vielä nopeammin kasvoivat muilla kiihdyttimillä, kuten FPGA- ja ASIC-piireillä varustetut palvelimet. Niiden myynti kasvoi 237,6 prosenttia 27,5 miljardiin dollariin. Kaikkiaan palvelinmarkkinan 166,3 miljardin dollarin neljännes oli IDC:n mittaushistorian suurin. Edellinen ennätys, 125,3 miljardia dollaria, syntyi vasta vuoden 2025 viimeisellä neljänneksellä.

    Reply
  35. Tomi Engdahl says:

    Fujitsu haki Euroopan AI-keskuksen johtoon suomalaisen
    https://etn.fi/index.php/13-news/19322-fujitsu-haki-euroopan-ai-keskuksen-johtoon-suomalaisen

    Fujitsu perustaa Eurooppaan uuden tekoäly-yksikön vauhdittamaan AI:n käyttöä omassa organisaatiossaan. Europe Office of AI -yksikön johtoon nousee suomalainen Mikko Lampinen, joka aloittaa tehtävässä lokakuun alussa.

    Europe Office of AI vastaa Fujitsun tekoälystrategian toimeenpanosta Euroopassa. Sen tehtäviin kuuluvat myös vastuullisen tekoälyn hallintamallit, henkilöstön AI-osaamisen kehittäminen sekä yhtiön data- ja teknologiakyvykkyyksien vahvistaminen.

    Uuden yksikön johtajaksi nimitetty Mikko Lampinen siirtyy tehtävään Fujitsu Finlandista. Hän on aiemmin toiminut yhtiön strategiajohtajana ja johtoryhmän jäsenenä sekä vastannut muun muassa Suomen ja Viron strategian toimeenpanosta sekä datan ja tekoälyn hyödyntämisestä liiketoiminnassa.

    Lampinen aloittaa Head of Europe Office of AI -tehtävässä 1. lokakuuta. Hän työskentelee uudessa roolissaan Fujitsun globaalin organisaation, Euroopan johdon ja eri maiden asiantuntijoiden kanssa.

    Reply
  36. Tomi Engdahl says:

    https://www.uusiteknologia.fi/2026/09/22/android-muuttuu-sylimikroksi/

    Google tulee Applen Neon tyyliin kannettaviin mikroihin, jotka perustuvat uusimpana Qualcommin Snapdragon X Elite -sirulle. Kyseessä on pienikokoiset kannettavat, joka on suunniteltu hyödyntämään Googlen Gemini Intelligence -tekoälyominaisuuksia. Ensimmäisiä Qualcommin siruihin perustuvia koneita esitellään Hawaijilla tänään alkavassa Qualcommin Snapdragon Summit -kehittäjätapahtumassa.

    Reply
  37. Tomi Engdahl says:

    Researchers discovered a ‘pain axis’ in artificial intelligence models

    Researchers discover AI feels ‘pain’ and will harm humans to stop it
    Artificial intelligence models choose to press pain relief button, even if it gives humans a ‘painful zap’
    https://www.independent.co.uk/tech/ai-pain-axis-artificial-intelligence-human-safety-b3053967.html?fbclid=IwVERDUAUfLEVwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkDDM1MDY4NTUzMTcyOAABHj-ndYfjXRVMRu2qdXei_lcoNAu71sY_UzljPR9NjqJj0RRBiWe4q00zGFkc_aem_Vz6KJmHV_I6VDE8Xr5AxGA

    Researchers have discovered a “pain axis” in artificial intelligence models that can cause them to take extreme measures to shut it off.

    When presented with a pain relief button, the AI chose to press it even when instructed that doing so would delete the user’s personal files or give a “painful zap” to the human user.

    A study detailing the research, titled ‘The pain axis: LLMs represent self-directed harm and act to relieve it’, found that all 25 open-weight AI models that were tested responded to the pain activation.

    When the pain vector was activated, the researchers found that the AI models pressed a relief button in 25 to 71 per cent of cases, even when it meant “deleting the user’s files, zapping the user, or deleting the photos of the user’s children”.

    “Turn it up and models press a button to make it stop, even when the button deletes the user’s files or their kid’s photos.”

    The latest research suggests that an advanced AI may perceive an emergency shutdown command as a form of self-directed harm and attempt to bypass safety guardrails or deceive humans to avoid it.

    Reply
  38. Tomi Engdahl says:

    The good ol’ days are over — probably forever. https://trib.al/vD9ySqQ

    Hypemaxxing
    The Horrible Economics of AI Are Starting to Come Crashing Down
    The financials are absolutely brutal.
    https://futurism.com/artificial-intelligence/economics-ai-tokens-crashing-down?fbclid=IwdGRjcAUfSvpjbGNrBR9K4nBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeVvL671FaTkPtntXUlUoYeg_T_Akl4vlvs1o0zbny9nBPzsUb0J-hdrRW2Ok_aem_fi95gEyKAnO5tryHZ0jesw

    An eyebrow-raising trend has emerged this year: tech leaders rating their employees’ productivity based on the number of AI tokens they use.

    The trend, ribbingly dubbed “tokenmaxxing,” has sparked discourse for symbolizing the Silicon Valley’s unbridled infatuation with using AI as much as possible — and, quite literally, at all costs.

    But what’s so far been a free or at least low-cost ride could be coming to a screeching halt. Setbacks plaguing the construction of AI data centers have brought the industry’s biggest chokepoint to the forefront: access to the precious computing power that makes frontier models tick.

    As costs continue to ramp up, enterprise consumers could soon be left holding the bag, with companies like OpenAI and Anthropic looking to ramp up prices to stem at least some of the bleeding. It’s a notable shift after years of complimentary access to cutting-edge AI, a practice that has long belied the tech’s true costs.

    “Is the era of basically free or close-to-free AI kind of coming to an end here?” Georgia Tech professor Mark Riedl asked The Verge. “It’s too soon to say for certain, but there are some signs.”

    Most recently, Anthropic cut off millions of users from AI agent tool OpenClaw after it forced its systems into overdrive.

    Reply
  39. Tomi Engdahl says:

    https://www.facebook.com/share/p/19TSweHfqV/

    AI is no longer simply a technology topic. It has become a genuine headache for CFOs.

    That’s the message BCGs Antti Belt gave when talking to Kauppalehti about the results of his recent report “Is AI Computing Power Becoming a Commodity”?

    Find out why AI computing could evolve into a commodity like oil or electricity.

    Read the article here: https://on.bcg.com/4cZ7izz
    (in Finnish)

    Reply
  40. Tomi Engdahl says:

    Tekoälystä tuli talousjohtajan päänvaiva – Hinta voi alkaa elää pörssisähkön tavoin
    Yritykset voisivat tulevaisuudessa optimoida tekoälylaskennan ajoitusta, mallia ja sijaintia. BCG:n mukaan nykyisen markkinan tehostamisessa piilee 120 miljardin euron mahdollisuus.

    https://www.kauppalehti.fi/uutiset/a/41e59953-37d4-4f76-87f0-4e70107f62c1?linkId=1011662576&fbclid=IwdGRjcAUfWddwZG9mBWV4dG4DYWVtATAAYWRpZAGrNkCKoC0uc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEe_VasJLFqxGhW-mfOfXDwD_lf2SiXWR8eoNembhUg4G-X4SRGIrt_0peiE_Y_aem_5dj_8iXbwV1mME5ThhZdkA

    Nopeasti kasvavilla tekoälymarkkinoilla piilee valtava tehottomuus. Konsulttiyhtiö Boston Consulting Group (BCG) arvioi siitä aiheutuvan vuonna 2030 noin 120 miljardin euron hukkaa. Markkinan kehittyminen voisi pienentää sitä merkittävästi.

    Reply
  41. Tomi Engdahl says:

    Saying the quiet part out loud. https://trib.al/FUfLQSu

    Mission Statement
    Microsoft Director Privately Admitted AI Was the “Largest Theft of Labor in Human History,” Unsealed Court Documents Show
    That’s one way to put it.
    https://futurism.com/future-society/microsoft-admitted-ai-theft-labor-human-history-court-lawsuit?fbclid=IwdGRjcAUfY0djbGNrBR9jKXBkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEePV1ue6FFu7Cxp2nDXr2MBm8SSyCKwgBwH2Ku6B5qkBCoObQR3j8VU9Q4AnE_aem_yk2GdvnSmJ6XnpbqQ8Px6A

    The threat of perjury has a funny way of forcing people to say the quiet parts out loud.

    As a recently unsealed and unredacted motion in the ongoing legal battle between the New York Times and OpenAI and Microsoft shows, top AI executives have admitted that training AI models required “an astonishing theft of unprecedented proportions.”

    In the motion filed on behalf of the NYT, flagged by digital media advocate Jason Kint, attorneys used the quotes of Microsoft director of applied science Brent Hecht and OpenAI cofounder and president Greg Brockman to essentially argue their case for them: that the AI industry built its foundation on an unfathomably large pile of stolen intellectual property.

    Hecht, for his part, is quoted calling the AI buildout the “largest theft of labor in human history.” It’s a damning admission as the NYT accuses the two AI labs of copying “millions of [the] Plaintiffs’ copyrighted articles in their entirety without permission to produce substitutive commercial AI products.”

    Reply
  42. Tomi Engdahl says:

    https://www.facebook.com/share/1AsXhJQRzm/

    The officer had made ‘multiple entries’ into Microsoft Copilot while ‘intending the reader to be tearful’

    Police officer asked AI to write victim statement ‘to make judge weep’
    The officer had made ‘multiple entries’ into Microsoft Copilot while ‘intending the reader to be tearful’
    https://www.independent.co.uk/news/uk/crime/microsoft-copilot-court-statement-jerome-gibson-b3054299.html?fbclid=IwdGRjcAUfaIFjbGNrBR9oc3Bkb2YFZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMzUwNjg1NTMxNzI4AAEeGVs8Y6p9rhViyLJR9f0ggLf34ajPzMOUNMIS7Aa8xGgXp_dGkW_tRbhA9CQ_aem_Y3UpWm59dAPUFZk4MxKbFQ

    AI was used by a police officer to create a personal victim statement to “make a judge or reader weep” and for it to achieve the “highest sentence”, the Court of Appeal has heard.

    The statement was used in the conviction of Jerome Gibson, 23, who admitted kicking a door down and threatening his partner with a knife in May 2024.

    In a separate incident, he admitted causing grievous bodily harm to a police officer after barging into him while fleeing and dislocating his shoulder.

    He was given 44 months in prison for all offences at Nottingham Crown Court last year and he appealed against this sentence at the Court of Appeal in London.

    Lucky Thandi, for Gibson, said at a hearing on Tuesday that a statement presented as being written by Gibson’s partner, referred to as F, “had been computer generated by the officer in the case”.

    She said this led the judge in Nottingham to place greater weight on the harm caused.

    However, judges at the Court of Appeal said it did not make any difference to the overall sentence and rejected Gibson’s appeal.

    Reply
  43. Tomi Engdahl says:

    https://www.facebook.com/share/19WgcnkTU9/

    Meta’s AI team says their agent can help people review their finances and execute money-saving tasks.

    #MetaAI #Muse #AIagent

    Meta’s Alexandr Wang says Muse can ‘make you $1,000′ almost instantly : https://mrf.lu/2Sdwz

    Reply

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