Anthropic Further Targets Legal With New Connectors
The connectors allow the vendor to demonstrate that its LLMs can also deliver business value in other industries.
Anthropic
Google faces backlash over Pentagon AI deal
Despite opposition from its employees, Google signed an AI contract deal with the Pentagon. Foreign governments in Europe and Asia are now seriously reevaluating doing business with firms linked to the U.S. government.
The growing pattern of U.S. AI firms deepening ties with the Pentagon has escalated the urgency for European and Asian governments to find alternatives that are clean from American influence for their tech needs.
Google faces backlash over Pentagon AI deal
In 2025, the Pentagon signed agreements of up to $200 million each with major AI companies, including OpenAI, Google, and Anthropic. Reportedly, the Pentagon attempted to make versions of OpenAI and Anthropic available on classified networks without the standard restrictions they apply to users.
Google’s latest Pentagon deal reportedly drew significant criticism from its own employees. The company previously faced a major internal revolt over Project Maven, a 2018 Pentagon drone-imagery contract that it ultimately chose not to renew after thousands of employees signed petitions and some resigned in protest.
The new deal allows the Pentagon to use Google’s AI for “any lawful government purpose”, but also includes safeguards such as “the parties agree that the AI System is not intended for, and should not be used for, domestic mass surveillance or autonomous weapons (including target selection) without appropriate human oversight and control.”
However, the agreement also says Google does not have the right to control or veto lawful government operational decision-making.
The primary cause of concern for American citizens, foreign partners, and adversaries is that there is a gray area as to what constitutes lawful government use. As Cryptopolitan reported, the Pentagon and the Trump admin publicly disputed with Anthropic about limits that the AI firm insisted on.
The race to make Europe great again is on
Foreign governments do not trust that U.S.-based AI companies can serve foreign clients without also serving U.S. national security interests. The 2018 CLOUD Act that compels American tech firms to hand over data to U.S. law enforcement, even when that data is stored on foreign soil, only strengthens this concern.
France, for instance, announced last year that its Health Data Hub would leave Microsoft Azure for a domestically operated cloud company called Scaleway.
Scaleway was also among four companies that won a separate €180 million sovereign cloud tender from the European Commission, worth roughly $211 million. Amazon’s AWS European Sovereign Cloud notably did not make the cut.
The European Commission’s tender carried the additional goal of encouraging the market to “offer sovereign digital solutions that comply with EU laws and values.”
France is also replacing Windows with Linux across government systems. Austria, Denmark, Italy, and Germany are swapping Microsoft’s productivity suite for open-source tools like LibreOffice. As Cryptopolitan reported earlier, Germany has decided not to even consider Palantir for its military, at least for now, according to Vice Admiral Thomas Daum.
The EU’s Apply AI Strategy, published in March 2026, promotes what it calls a “buy European” approach to AI procurement.
However, France’s domestic intelligence agency recently renewed a contract with Palantir despite the push to reduce reliance on U.S. providers and Palantir’s chief executive, Alex Karp’s, controversial opinions on defense technology.
European search engine Qwant partnered with German nonprofit Ecosia to launch Staan, a privacy-focused search index, but Ecosia has roughly 20 million users compared to Google’s billions.
Scaleway and OVHCloud are credible cloud providers, but neither is near the scale of AWS, Azure, or Google Cloud. Whether or not these alternatives can compete on capability remains an open question.
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Google invests up to $40B in Anthropic
According to April 24, 2026 reports, Alphabet, which is the parent company of Google, plans to invest up to $40 billion in Anthropic. This investment will consist of $10 billion upfront and $30 billion in additional funding if certain performance goals are achieved.
Anthropic is part of the multi-cloud ecosystem, including its deal with CoreWeave that spans several years. This is as well as its plan to harness close to 1 gigawatt of accelerators powered by Amazon’s GPUs.
Google invests up to $40B in Anthropic
Alphabet had previously made an investment of around 14% before this new funding round. Google will also be backing Anthropic in scaling up its computing capacity using TPU chips. The revenue run rate of Anthropic has now exceeded $30 billion, as compared to $9 billion at the end of 2025.
In response to the announcement, Alphabet stock was slightly buoyant. At midday, GOOGL stock rose about 1.2%, while the market was up about 3.77% overall, on an otherwise positive tech stock market.
Anthropic is not a publicly listed firm; hence, it lacks tradable shares. The stock price before the Forge Global announcement was strong, with the Forge Price as of April 23, 2026, at $259.14 per share.
However, recent transactions on the secondary market have raised the implied value substantially to levels between $800 billion and $1 trillion, or more, prior to the acquisition (such as a listing by one shareholder valued at $1.15 trillion). The commitment made by Google at around $350–$380 billion had no impact on the secondary pricing.
Anthropic continues to roll out major Claude updates
On April 16, 2026, Anthropic released Claude Opus 4.7. The model enhances software engineering, handles long-running code-generation projects effectively, and performs high-definition vision tasks.
There is no change in pricing, as Opus 4.7 costs $5 per million input tokens and $25 per million output tokens.
One day later, Anthropic introduced Claude Design. This experimental product helps create prototypes, slide presentations, one-page designs, and more with Claude. This is specifically designed for founders and product managers who don’t have a design background. The product works on Opus 4.7 for Claude Pro, Max, Team, and Enterprise.
In the early part of 2026, Anthropic released multiple updates. They include Claude Opus 4.6 and Sonnet 4.6 in February, with context window sizes of 1 million tokens; Claude Cowork for working collaboratively; and Claude Code for agentic coding.
The company has also released the Claude Mythos Preview at the beginning of April for complex cybersecurity activities; however, it is only available to select partners via Project Glasswing.
Global AI investment spike in April 2026
2026 is one of the most successful years for artificial intelligence funding. The first quarter alone saw $297 billion to $314 billion invested globally in venture capital, of which AI accounted for 80% to 81%. This includes the four largest venture deals of all time: $122 billion from OpenAI, $30 billion from Anthropic, $20 billion from xAI, and $16 billion from Waymo.
Capital inflow didn’t stop in April either. On April 3, Microsoft pledged $10 billion in investments in Japanese artificial intelligence and cybersecurity. Another commitment from Microsoft was to pledge $5.5 billion to the development of artificial intelligence in Singapore.
Then came Amazon’s announcement that it would invest $5 billion in Anthropic, with the potential for more in the near future. Finally, Cerebras Systems filed to go public at a $35 billion valuation on April 17. Overall capital expenditure intentions of Big Techs remain huge, at $635- $665 billion by year-end.
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Nvidia’s stock dipped below $200 as Google prepares new inference chips
Nvidia’s share price fell to $199.86 on Monday, a drop of less than 1%. On its own, that barely registers. But zoom out, and the picture looks more complicated. Google is coming for Nvidia’s fastest-growing market, billions of dollars are flowing into rivals, and a South Korean startup just raised $400 million with Nvidia squarely in its sights.
Nvidia closed at $199.48, down 0.79% on the day. The stock still sits well above its 20-day, 50-day, and 200-day moving averages, which are clustered around $181-$183, so the longer-term trend remains intact.
The MACD is still flashing a buy signal, and the ADX reading of 15.28 points to a weak but continuing upward trend.
Google takes aim at Nvidia’s fastest-growing market
While Nvidia’s stock treads water, Google is making its most direct push yet into the chip market.
The Alphabet-owned company is preparing to announce a new generation of tensor processing units, known as TPUs, at its Google Cloud Next conference in Las Vegas this week, with a focus on inference: the process of running AI models once they have already been trained.
“It now becomes sensible to specialize chips more for training or more for inference workloads,” Google Chief Scientist Jeff Dean said. The company is “looking at a whole bunch of different things,” he added, including how fast it can deliver AI results to users.
Big names are now in for the TPUs. Anthropic has signed a contract for 1 million TPU’s while Meta is using them through Google’s cloud as part of a multi-billion-dollar agreement. In the upcoming Google conference, Citadel Securities will be talking about how TPU’s are faster at training models than GPUs. This isn’t where it ends. Abu Dhabi’s G42 is also in discussion to access them.
Google is also loosening the rules around TPU access, letting some customers run the chips inside their own data centers and supporting outside tools like PyTorch, rather than locking users into Google’s own software stack.
Not to forget, OpenAI is also growing frustrated by Nvidia’s inference hardware and looking for alternatives, as reported by Cryptopolitan previously.
Billions are flowing into chip startups
Google is not the only one sensing an opening. AI chip startups pulled in $8.3 billion globally in 2026, according to data from Dealroom, putting the sector on track for a record year. In the U.S., Cerebras raised $1 billion in February. MatX, Ayar Labs, and Etched each secured $500 million rounds. In Europe, Axelera and Olix both raised over $200 million.
“It’s no longer a niche bet,” said Carlos Espinal of European VC firm Seedcamp. “It’s becoming a core part of how people think about AI infrastructure.”
Samsung-backed South Korean startup Rebellions raised $400 million at a $2.34 billion valuation, led by Mirae Asset Financial Group and South Korea’s state-backed National Growth Fund. The company has raised $650 million in the past six months alone, more than 75% of its total funding, and is now targeting U.S. customers and preparing for a public listing.
Its Rebel100 chip is built specifically for inference.
One constraint is memory. High-bandwidth memory is tight across the industry, and prices have risen sharply. “Memory is not very easy to get. But our demand is so huge,” Park said. Rebellions has an edge there: both Samsung and SK Hynix are investors, giving it better access than most rivals.
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Groups Set Up to Shill AI and Data Centers Are Pouring Huge Sums of Money Into the Midterm Elections
Artificial intelligence remains deeply unpopular with the American public. One poll found it’s even more reviled than ICE, which is no small feat given the mass protests that erupt whenever the agency’s goons march into another US city.
A few political action groups are hoping to turn that around. Going into the 2026 midterm elections, the Financial Times reports, newly-formed PACs with major tech industry backing are spending hundreds of millions of dollars to shape how voters think about AI regulation.
Some of the groups cast a wide net, like Leading the Future, a super PAC backed by Trump donors and AI barons like OpenAI co-founder Greg Brockman, Palantir co-founder Joe Lonsdale, and tech venture capital giant Andreessen Horowitz. Founded in August of 2025, Leading the Future has raised over $125 million to back pro-AI candidates who oppose state-level regulations, according to the FT.
Others, like the pro-regulation PAC Public First Action, serve as vehicles for individual AI companies to push their agendas. Backed solely by Anthropic, this group aims to raise $75 million to boost candidates who want to preserve state’s individual rights to regulate AI. Mark Zuckerberg’s Meta also has its own pet super PAC, the American Technology Excellence Project, which aims to spend $65 million on state-level candidates who will “defend American tech leadership at home and abroad” — a fluffy way of saying “oppose AI regulation.”
This jockeying over states’ rights to regulate AI is the key question in the 2026 PAC wars. Though Republicans have largely staked their flag as the party of small government — which was always a selective attitude, to be fair — Donald Trump is now pushing for a major expansion of federal power. His latest AI framework seeks to concentrate regulatory authority over the tech at the executive level, which would effectively strip all 50 states of oversight power.
Bankrolling that push is Innovation Council Action, a hawkish super PAC backed by Trump advisor and PayPal mafioso David Sacks and led by former Trump communications aide Taylor Budowich. The newly formed group plans to spend at least $100 million supporting candidates who aren’t just pro-AI, but who will commit to carrying out Trump’s consolidation agenda, exclusively.
That PAC marks a major challenge to groups like Leading the Future, which Trump and his cabinet found to be insufficiently loyal.
“President Trump has made it clear, America will win the AI race against China, period,” Budowich told Fox. “He built the framework, he’s leading from the front, and this organization exists to make sure he doesn’t fight that battle alone. The cavalry is coming to back up the policymakers who stand with the president and will hold accountable the ones who don’t.”
More on AI and politics: Insiders Afraid the Government Will Nationalize the AI Industry
The post Groups Set Up to Shill AI and Data Centers Are Pouring Huge Sums of Money Into the Midterm Elections appeared first on Futurism.
Claude Mythos: The Model That Leaked Itself
Claude Mythos:
The Model That
Leaked Itself
Inside Anthropic’s accidental unveiling of Claude Mythos — the most powerful AI model ever built, held back because it might be too dangerous to release — and the market meltdown that followed.
In one of the more ironic data incidents in recent AI history, Anthropic — a company whose newest model is being held back specifically because of its unprecedented cybersecurity capabilities — accidentally exposed that model to the public through a basic configuration error on its own website.
The fallout was immediate: cybersecurity stocks cratered, crypto slid, and the broader tech sector sold off. But the real story is what the leak revealed about where AI is headed — and whether the industry is ready for a model its own creator calls too dangerous to release.
01 — The LeakHow 3,000 Files Went Public Overnight
On the evening of March 26, 2026, two independent cybersecurity researchers discovered something unusual sitting in a publicly accessible corner of Anthropic’s web infrastructure. Alexandre Pauwels of the University of Cambridge and Roy Paz, Senior AI Security Researcher at LayerX Security, had stumbled into what appeared to be a fully staged product launch — headings, body copy, images, PDFs, and a publication date — all sitting unprotected in an unencrypted, publicly searchable data store.
The disclosure was not a malicious breach. Digital assets — including images, PDF files, and audio files — were set to public by default upon upload, unless explicitly marked private. A toggle switch in Anthropic’s content management system was left in the wrong position, making approximately 3,000 assets linked to Anthropic’s blog publicly accessible. In total, there appeared to be close to 3,000 assets that had not previously been published to the company’s public-facing news or research sites that were nonetheless fully visible.
⚠ Configuration Error
The leak was not a cyberattack. Anthropic attributed it to “human error” in its content management system — a default-public setting that exposed staged assets before any editorial review. The same model the documents warned could trigger AI-powered cyberattacks was revealed by a misconfigured checkbox.
Among those exposed materials: a draft blog post detailing the existence, capabilities, and extraordinary risks of Anthropic’s next-generation AI model — a system called Claude Mythos.
02 — What Is Claude Mythos?A New Tier Above Opus
Anthropic currently markets its models in three tiers: Haiku (small and fast), Sonnet (balanced), and Opus (most capable). The leaked materials introduced a fourth category, internally named Capybara — larger and more intelligent than Opus, and significantly more expensive to run.
From the Leaked Draft
“Capybara is a new name for a new tier of model: larger and more intelligent than our Opus models — which were, until now, our most powerful.”
Two versions of the draft blog post surfaced — one calling the model “Mythos,” the other “Capybara” — suggesting Anthropic was still deciding between name candidates. The subtitle of the Capybara version still read: “We have finished training a new AI model: Claude Mythos.” Both versions explained the name was chosen to evoke “the deep connective tissue that links together knowledge and ideas.”
The draft described Claude Mythos as “by far the most powerful AI model we’ve ever developed.” When Fortune contacted Anthropic for comment, the company acknowledged the project without hesitation: “We’re developing a general purpose model with meaningful advances in reasoning, coding, and cybersecurity. Given the strength of its capabilities, we’re being deliberate about how we release it. We consider this model a step change and the most capable we’ve built to date.”
4th Tier
New “Capybara” model class above Opus
↑↑↑
Dramatic gains in coding, reasoning & cyber
Limited
Early access: cyber defenders only
$$$
“Very expensive to serve” — no general release
03 — CybersecurityThe Dimension That Stopped the Release
If Anthropic was simply excited about Claude Mythos’s capabilities, it would have launched quietly with the usual product post. Instead, the company is holding it back. The reason, spelled out in the leaked documents, is cybersecurity — and the concern is not hypothetical.
“Currently far ahead of any other AI model in cyber capabilities… it presages an upcoming wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders.”— Anthropic Internal Draft Blog Post, March 2026
The core issue is what researchers call the dual-use dilemma. The model demonstrated an ability to surface previously unknown vulnerabilities in production codebases — a capability that could help defenders patch flaws just as easily as it helps attackers find and exploit them. The same model that could harden a bank’s infrastructure could be the tool that breaks into it.
⬡ Frontier Red Team Finding — February 2026
Anthropic’s own Frontier Red Team documented that Claude Opus 4.6 — already publicly available — discovered over 500 high-severity zero-day vulnerabilities in production open-source codebases. Some of these bugs had been present for decades despite expert review and millions of hours of accumulated fuzzer CPU time. One vulnerability required conceptual understanding of the LZW compression algorithm — a class of reasoning no fuzzer can replicate. That was the model before Mythos.
The already-public Opus 4.6 raised serious enough flags. Anthropic simultaneously confirmed that hacking groups, including those linked to the Chinese government, had attempted to exploit Claude in real-world cyberattacks. In one documented case, a Chinese state-sponsored group ran a coordinated campaign using Claude Code to infiltrate roughly 30 organizations — including tech companies, financial institutions, and government agencies — before the company detected it. AI handled an estimated 80–90% of the operation.
“In preparing to release Claude Capybara, we want to act with extra caution and understand the risks it poses — even beyond what we learn in our own testing. In particular, we want to understand the model’s potential near-term risks in the realm of cybersecurity — and share the results to help cyber defenders prepare.” — Anthropic Internal Document
For Mythos specifically, Anthropic’s Responsible Scaling Policy (RSP) looms large. The policy defines AI Safety Levels: ASL-3 was activated in May 2025 for models that “substantially increase the risk of catastrophic misuse.” ASL-4, not yet formally triggered, applies when AI models become “the primary source of national security risk in a major area such as cyberattacks or biological weapons.” Based on the language in the leaked drafts, Mythos may be approaching that threshold.
If Mythos truly represents a step change in cyber capabilities, patch cycles that once had days or weeks of breathing room could compress to hours. The cyber arms race, already accelerating, could become asymmetric in a new and dangerous direction — with attackers using AI to discover vulnerabilities faster than human defenders can respond.
04 — Market ImpactStocks, Crypto, and the Selloff
Within hours of Fortune’s reporting, markets reacted sharply. The concerns weren’t irrational: if an AI model can autonomously discover and exploit zero-day vulnerabilities at scale, it threatens the core value proposition of every legacy cybersecurity vendor whose defenses are built on known signatures and historical threat intelligence.
| Company | Ticker | Drop (Mar 27) | Sector |
|---|---|---|---|
| CrowdStrike | CRWD | −7.0% | Endpoint Security |
| Palo Alto Networks | PANW | −6.0% | Network Security |
| Zscaler | ZS | −4.5% | Cloud Security |
| Okta | OKTA | −3.0% | Identity & Access |
| SentinelOne | S | −3.0% | AI-Powered Security |
| Fortinet | FTNT | −3.0% | Network Security |
| iShares Tech-Software ETF | IGV | −3.0% | Broad Tech |
| Bitcoin | BTC | ↓ $66K | Crypto / Risk-Off |
Raymond James analyst Adam Tindle outlined several risks: compression of traditional defensive advantages, higher attack complexity and cost to defend, and potential shifts in security architecture and spending. Defensive approaches based on known signatures, vulnerability databases, or prior threat intelligence telemetry could be pressured as AI enables continuous discovery of novel attack surfaces.
“We read this as having the potential to become the ultimate hacking tool — one that can elevate any ordinary hacker into a nation-state adversary.”— Analyst Note, March 27, 2026
Paradoxically, however, not every analyst read the Mythos news as a pure negative for cybersecurity. The same analyst argued that announcements like this should continue elevating cybersecurity as a top IT priority, driving spend towards modernizing cyber defenses and away from legacy tools. If AI-powered attacks are coming, companies will need AI-powered defenses — and that is a significant market opportunity.
05 — The Deliberate RolloutDefenders Get a Head Start
Anthropic’s planned release strategy for Mythos was unlike anything the company had done before. Rather than a broad API launch, the rollout was designed to be defensive-first: early access would go exclusively to cybersecurity organizations, giving them a window to harden their systems before the model — or its inevitable imitators — reached bad actors.
Phase 1 — Now
Small cohort of early-access customers, focused on cybersecurity defense. Evaluating model behavior and risks in controlled environments.
Phase 2 — TBD
Expanded Claude API access, after efficiency improvements bring down cost. Model currently described as “very expensive to serve.”
Phase 3 — No Date Set
General release, contingent on safety evaluation outcomes and cost reduction milestones. Timeline entirely open-ended.
The irony of the situation is layered. Anthropic wanted to give cyber defenders a head start — to publish benchmarks showing Mythos’s offensive potential, allow security teams to study its techniques, and harden defenses accordingly. Instead, the existence of the model, its capabilities, and Anthropic’s own alarming internal risk assessment landed in public simultaneously, with no safety preparation, no controlled disclosure, and no ability to brief the security community in advance.
06 — The IronyThe Most Cybersecurity-Aware Leak in History
The Punchline
A company warning the world about AI-powered cyberattacks was undone by a checkbox. The model described as posing “unprecedented cybersecurity risks” was revealed through a default-public CMS configuration — not by a sophisticated nation-state, not by a zero-day exploit, but by a toggle left in the wrong position.
The tech community was quick to note the absurdity. In an enormously ironic twist, the draft blog obtained by Fortune — which was “available in an unsecured and publicly-searchable data store” — was the very document claiming the new model poses unprecedented cybersecurity risks. As one observer put it: let’s hope the new model wasn’t responsible for the security of Anthropic’s company blog.
It is a test for the company, which has received significant media attention for its Claude Code and Claude Cowork tools. The successes of those products have rattled competitors. The Mythos leak adds a different kind of pressure — one rooted not in capability rivalry but in questions about Anthropic’s own operational security posture at the exact moment it is asking the world to trust its judgment on frontier AI safety.
07 — What Comes NextIPOs, Lawsuits, and Open Questions
The Mythos story does not exist in a vacuum. Anthropic is simultaneously navigating a federal lawsuit against the Pentagon over a supply-chain risk designation rooted in its refusal to remove safety guardrails from Claude. Reports also surfaced this week that the company has been discussing a Q4 2026 IPO. The revelation that Anthropic is sitting on a model it considers potentially too dangerous for general release adds new dimensions to both of those threads.
For the Pentagon dispute, it provides ammunition to critics who argue Anthropic selectively applies its safety principles. For investors and IPO watchers, it raises questions about when and how Mythos revenue appears on a balance sheet — and whether regulators might weigh in before a general release is possible.
For the broader cybersecurity industry, the implications are structural. If Mythos — and the wave of similar models it is expected to inspire — can discover zero-day vulnerabilities faster than human analysts and patch systems can respond, the entire architecture of defensive cybersecurity shifts. Signature-based detection, historical threat intelligence, and human-speed incident response all face obsolescence. The question is whether the defenders, now armed with early access to Mythos itself, can adapt faster than the attackers who will inevitably get access to similar capabilities.
⬡ The Core Risk Equation
Anthropic’s own framing: give cyber defenders a head start with Mythos → they harden systems → when similar models reach bad actors, defenses are already stronger. The flaw in that plan: the deliberate head start was eliminated the moment the leak happened. Defenders and the public now know simultaneously.
For now, Mythos remains behind closed doors — tested quietly, released carefully, and very much on the world’s radar after a week nobody at Anthropic planned for. The name was chosen to evoke the deep connective tissue that links knowledge and ideas. Instead, it became the story of how a single misconfigured setting linked a company’s most sensitive secrets to anyone with a search engine.
Protestors Outside Anthropic Warn of AI That Keeps Improving Itself
Months after a daring hunger strike failed to pause development of Anthropic’s AI Claude, protestors have rallied around the company’s headquarters to call for a complete stop to AI development.
Last weekend, nearly 200 protestors with the organization Stop the AI Race demonstrated in front of Anthropic, demanding the company’s CEO, Dario Amodei, publicly commit to pausing their development of AI. According to FirstPost, protestors included former tech industry workers, researchers, and members of other grassroots organizations like Pause AI and QuitGPT.
“The reason we are pausing AI is because we believe that building AI that can automate AI research, and that can self improve, could be a danger to the human race, especially human extinction,” Michaël Trazzi, an organizer with Stop the AI Race, told local reporters. “It’s not only me and other researchers saying this, it’s the lab CEOs themselves that [say] the risk is real.”
Stop the AI Race rallied around the company’s San Francisco headquarters for a while before marching on Sam Altman’s OpenAI and Elon Musk’s xAI, where they made similar demands.
In a post on social media, Trazzi claimed that it was “the biggest AI safety protest in US history” so far.
One of the protestors involved, Guido Reichstadter, had previously protested outside Anthropic in the aforementioned hunger strike, which ultimately lasted for 30 days. Like Trazzi, Reichstadter’s concerns are existential — an AI system that could one day break containment and usher in unknown horrors on humankind.
On day nine of his hunger strike, Reichstadter told Futurism that frontier AI systems are an “entirely new class of danger.” Indeed, whether Claude is going to take over and start killing us all may be beside the point: in the hands of humans, it’s already picking strike targets for the US military.
“None of these companies have a right to do what they’re doing, which is consciously endangering my life, my family’s life, all of our lives,” Reichstader said. “The correct thing for them to do is stop the global race toward really dangerous AI that we’re all involved in.”
More on Anthropic: Pentagon Refuses to Say If AI Was Used to Select Elementary School as Bombing Target
The post Protestors Outside Anthropic Warn of AI That Keeps Improving Itself appeared first on Futurism.
Tech firms set up first AI training hub in NYC
OpenAI, Microsoft, and Anthropic—three of the biggest players in artificial intelligence have launched the nation’s first $23 million AI education initiative, aimed at equipping US educators with the tools and training needed to navigate the growing influence of AI in classrooms.
Announced on Tuesday, the investment will fund the creation of the National Academy for AI Instruction (NAAI), a program designed to train 400,000 K–12 teachers over the next five years. The initiative will offer free in-person workshops, hands-on seminars, and virtual learning modules to help educators effectively integrate AI into their teaching practices.
The training will cover using AI for tasks like lesson planning, grading, communication, and classroom management—enhancing, not replacing, the teacher’s role. The program is being launched in collaboration with the American Federation of Teachers (AFT), one of the largest teachers’ unions in the country, underscoring strong support from within the education sector.
Microsoft is the lead investor in the project, signaling the tech giant’s growing focus on the education space. The initiative aims to empower teachers with the knowledge, skills, and confidence to use AI as a supportive tool, streamlining administrative work, boosting creativity, and freeing up more time for direct student engagement.
Tech firms set up first AI training hub in NYC
The first stationary training location will be in Manhattan, NY, opening in late summer or early fall. The school will eventually grow to other physical locations throughout the country. Alongside in-person instruction, the academy will feature distance-learning sessions to ensure that even teachers in rural or underserved areas can take advantage of the resources.
A training program will introduce the technology and explain how it might be applied in real classroom settings, including the use of AI for tutoring, automating lesson plans, creating tailored assignments for students, and helping students who learn differently from the majority of their class. Sessions will also discuss AI ethics, bias, data privacy, and student safety — all of which are at the top of educators’ and parents’ minds.
“When it comes to AI in schools, the question is whether it is being used to disrupt education for the benefit of students and teachers or at their expense,” Chris Lehane, chief global affairs officer of OpenAI, said in a statement. “We want this technology to be used by teachers for their benefit, by helping them to learn, to think and to create.”
Tech companies accelerate AI education push
The new academy arrives as demand for AI in education continues to grow across the United States. In April, President Donald Trump signed an executive order to establish a White House Task Force on AI Education that called for public-private partnerships to encourage AI literacy in K–12 education. It has emerged as one of the biggest fruits of that order yet.
Tech companies have been aggressively building up their presence in education. OpenAI has also worked with the California State University system to give AI tools to more than 500,000 students and faculty members.
Anthropic, which developed the Claude AI assistant, released Claude for Education on Wednesday, a customized version of its chatbot for higher education users, almost two months after the company made its official product debut.
Through its competitive Google for Education program, Google is still signing deals with public schools and universities to bring AI-powered tools for administration and learning.
Such moves are happening as there is a dawning realization that AI literacy is as important as digital literacy has become, especially for the next generation of students and workers. However, the speed with which things have changed has also stirred concerns about fairness, access, and misuse.
Dealing with that concern, the academy’s developers say they’re creating the program with teachers in every aspect. Responsible and inclusive use of AI in schools will be a blinkered target to ensure the technology positively impacts learning, not negatively.
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