Scientists created an exam so broad, challenging and deeply rooted in expert human knowledge that current AI systems consistently fail it. “Humanity’s Last Exam” introduces 2,500 questions spanning mathematics, humanities, natural sciences, ancient languages and highly specialized subfields.

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Summary: Scientists have …

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The End of the Anonymous Bot? — The “Verified Human” Paywall

Source: Internal “Leak” Reports from X (Twitter) and Meta

Theme: Hardware-Attested Reality

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Summary: As AI-generated content (like Google’s Nano Banana 2) becomes indistinguishable from reality, social media giants are turning to hardware-level verification. We explore the weekend’s biggest leak: the “Proof of Personhood” movement and how chips from Apple and Nvidia are being used to “gate” the internet.

Key Points:

• The Saturation Point: Why platforms are forced to move beyond watermarking (SynthID) to hardware-attestation.

• Silicon Fingerprints: How Secure Enclaves and TPMs are becoming the new “Digital Passports.”

• The Privacy Paradox: Can we have a bot-free internet without losing the right to be anonymous?

Full Strategy & Analysis: Want to know how this impacts the advertising market and the future of “Ghost Traffic”? Listen to the Full Daily News Rundown here.

Keywords: Proof of Personhood, Dead Internet Theory, Nano Banana 2, Secure Enclave, C2PA, Meta Human Feeds, AI Identity, r/privacy.

This episode is made possible by our sponsors:

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AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow. While all research, interviews, and strategic insights are curated by Etienne Noumen, we leverage advanced AI voice synthesis for our daily narration to ensure speed, consistency, and scale.

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🚀 Welcome to the AI Unraveled Weekly Rundown. This week didn’t just bring news; it brought a fundamental rewriting o…

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🚀 Welcome to AI Unraveled (February 28th, 2026): Your daily strategic briefing on the business, technology, and policy reshaping artificial intelligence.

This episode is made possible by our sponsors:

🛑 AIRIA: Today’s news makes one thing clear: AI agents are no longer just tools—they are national security infrastructure. As the federal government blacklists providers and OpenAI moves into classified military networks, you need a control plane that can manage “Agentic Sprawl.” AIRIA provides unified security, real-time cost auditing, and governance for your non-human identities. Don’t let your agents become a supply chain risk. 👉 Govern the Agentic Era here

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Today’s Briefing: We are tracking a seismic shift in the relationship between Silicon Valley and Washington. President Trump has banned Anthropic from all federal agencies, designating them a “supply chain risk” after a standoff over military safeguards. Simultaneously, OpenAI has signed a classified deal with the Pentagon, positioning itself as the primary federal AI partner.

We also go deep on Jeff Bezos’s “Project Prometheus,” a tens-of-billions-of-dollars fund designed to buy up industries disrupted by AI. Plus: Google’s AlphaEvolve project optimizing its own hardware, the “terrifying” Citrini Research macro-memo on the 2028 economic death loop, and an AI self-audit showing 85% billable waste in failure loops.

Strategic Pillars & Key Topics:

• The Federal Ban: Why Anthropic was labeled a supply chain risk and the industry-wide implications.

• The Military AI Pivot: OpenAI’s new classified network deal and the “all lawful uses” clause.

• Project Prometheus: Jeff Bezos returns to an operational role to buy disrupted companies.

• Nvidia + Groq: The new inference chip partnership set for GTC.

• The Citrini Report: A fictional “memo from 2028” that feels too real—how AI-driven cuts could destroy SaaS revenue.

• The 85% Overhead: A brutal self-audit by Gemini 3.1 reveals the hidden cost of AI failure loops.

• AlphaEvolve: Why the “AI building AI” project is the most underhyped story of 2025-26.

Today, the headlines are moving at a speed that is shifting the global power balance. President Trump has just ordered a total federal ban on Anthropic, designating the company a ‘supply chain risk’ after its refusal to lower safeguards for the Pentagon. As Anthropic is forced out, OpenAI has signed a classified deal to step into the gap, raising massive questions about the future of AI ethics in warfare.

But while the labs fight Washington, Jeff Bezos is returning to the front lines. His ‘Project Prometheus’ is raising tens of billions of dollars to buy up entire industries that AI is about to disrupt. It’s a predatory play on a scale we’ve never seen.

We’re also diving into a terrifying report from Citrini Research. It’s a macro-economic forecast for 2028 that describes an unavoidable ‘death loop’ where AI productivity gains mechanically destroy the revenue of the very companies that built them.

Keywords:

Anthropic Federal Ban, Trump AI Executive Order, OpenAI Pentagon Deal, Jeff Bezos Project Prometheus, Citrini Research 2028, AI Economic Death Loop, Google AlphaEvolve, Nvidia Groq Chip, India Back Office Shrink, AI Failure Loops, Gemini 3.1 Audit, Unified Latents, AIRIA, DjamgaMind, Pete Hegseth, Dario Amodei, AI Supply Chain Risk.

🚀 Reach the Architects of the AI Revolution

Want to reach 60,000+ Enterprise Architects and C-Suite leaders? Download our 2026 Media Kit and see how we simulate your product for the technical buyer: https://djamgamind.com/ai

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow. While all research, interviews, and strategic insights are curated by Etienne Noumen, we leverage advanced AI voice synthesis for our daily narration to ensure speed, consistency, and scale.

Trump bans Anthropic from US federal agencies

• President Trump ordered all federal agencies to immediately stop using Anthropic’s technology, escalating a dispute over the company’s refusal to let the Pentagon use its AI for mass surveillance or autonomous weapons.

• Defense Secretary Hegseth declared Anthropic a “supply chain risk,” which would force companies like Nvidia, Amazon, and Google to cut ties with Anthropic if they want to keep doing military business.

• OpenAI CEO Sam Altman warned in an internal memo that the threat to invoke the Defense Production Act against Anthropic is “an issue for the whole industry,” not just one company’s contract dispute.

OpenAI signs AI deal with Pentagon

• OpenAI announced a deal with the Pentagon to run its AI models on classified military networks, but the company has no infrastructure on those systems and the timeline for actual deployment remains unclear.

• The agreement bars domestic mass surveillance and requires human oversight for autonomous weapons — terms nearly identical to the ones Anthropic insisted on before being blacklisted as a supply chain risk hours earlier.

• Whether OpenAI’s contract includes the “all lawful uses” clause that broke Anthropic’s talks has not been disclosed, and federal contracting experts say Anthropic’s blacklisting lacks clear legal grounding so far.

Jeff Bezos seeks billions to buy industrial companies disrupted by AI

• Jeff Bezos’s AI lab, Project Prometheus, is raising “tens of billions of dollars” to acquire companies expected to be disrupted by AI and then apply the technology to improve their margins.

• Project Prometheus raised $6.2 billion last year at a $30 billion valuation, and this marks the first time Bezos has taken an official operational role in a company since leaving Amazon.

• The company has hired nearly 100 employees, including researchers from OpenAI, Google DeepMind, and Meta, and already acquired computer agent maker General Agents late last year.

Nvidia plans new chip to speed AI processing

• Nvidia is working on a new processor built for “inference” computing, designed to help OpenAI and other customers run AI systems that respond to queries more quickly and efficiently.

• The new platform, which will include a chip designed by startup Groq, is set to be shown at Nvidia’s GTC developer conference in San Jose next month.

• Nvidia previously struck a $20-billion licensing deal with Groq, which ended OpenAI’s own talks with the startup about getting chips for faster inference processing.

AlphaEvolve is still underhyped? (or at least the concept)

Everyone is tallking about the chat bots and the coding agents but I think no one is talking about the Google’s AlphaEvolve project which was announced publicly on May 2025 and since then it has solved many problems.

I feel like this might be the first step towards a phase where AI builds another AI. Also the concept is interesting where they mimic the natural selection process considering an algorithm as a species and letting it evolve based on the constraints, metrics, benchmarks etc. Why no one is talking about it?

Some achievements it did:

• It broke a 56-year-old record by discovering a way to multiply 4 x 4 complex matrices in just 48 steps, beating Strassen’s 1969 record.

• It evolved a new scheduling heuristic for Google’s “Borg” system, recovering 0.7% of global compute resources

• It optimized the FlashAttention kernel to achieve a 32.5% speedup, which directly reduced the total training time for Gemini models by 1%

• It rewrote Verilog code for Google’s next-generation TPU chips, simplifying arithmetic circuits to make AI hardware natively more efficient.

India Built the World’s Back Office. A.I. Is Starting to Shrink It.

Everyone’s facing the tsunami, everywhere. That does suggest a historical critical transition: https://www.nytimes.com/2026/02/27/technology/india-technology-jobs-ai.html

“Artificial intelligence promises to automate the white-collar work that made India a tech powerhouse. The country is racing to adapt before it’s too late.”

Citrini Research modeled what happens if AI actually works as promised. The results are terrifying

Citrini Research published a fictional “macro memo from 2028” and it’s the most unsettling thing I’ve read this year. Not because it’s doomer fiction, but because every step in the chain is individually rational.

The scenario: agentic coding tools hit a step function in late 2025. A competent dev can now replicate mid-market SaaS in weeks. CIOs start asking “why are we paying $500k/year for this?” Enterprise renewals get renegotiated at 30% discounts. Long-tail SaaS gets hit harder.

But here’s where it gets dark. ServiceNow sells seats. When their Fortune 500 clients cut 15% of headcount, they cancel 15% of licenses. The AI-driven cuts that boost client margins mechanically destroy ServiceNow’s revenue. The company most threatened by AI becomes AI’s most aggressive adopter. Each company’s response is rational. The collective result is catastrophic.

The paper traces this through intermediation collapse (agents don’t have brand loyalty or app fatigue), consumer spending decline (top 20% earners drive 65% of discretionary spending), and eventually into private credit defaults on PE-backed software deals underwritten on “recurring” revenue that stopped recurring.

The DoorDash example is brutal. Their moat was “you’re hungry, you’re lazy, this is the app on your home screen.” An agent doesn’t have a home screen. It checks 20 alternatives and picks the cheapest.

What makes this different from typical doom pieces is the financial mechanics. AI improves -> companies cut costs -> savings go to more AI -> more cuts -> displaced workers spend less -> companies that sell to consumers weaken -> loop accelerates. No natural brake.

Hard not to connect this to my own experience using coding agents daily. Tools like Verdent and Codex genuinely make me 2-3x faster. The productivity gains are real. But who captures the value? Right now my employer does, by needing fewer of me.

Not a prediction. But a scenario worth stress-testing your assumptions against.

Not a glitch: an AI self‑audit shows failure loops driving up to 85% billable overhead

Sometimes AI doesn’t just fail – it can describe exactly why it failed. Gemini 3.1 did that after repeatedly failing to execute a simple functional instruction (a web search).

I’ve seen similar patterns anecdotally across ChatGPT, Claude, Gemini, and Grok in tool-mediated workflows. This example is unusually explicit because the model articulated the loop itself.

Source:

Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder

By Asif Razzaq

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent space, models can scale effectively. However, a fundamental trade-off persists: lower information density makes latents easier to learn but sacrifices reconstruction quality, while higher density enables near-perfect reconstruction but demands greater modeling capacity.

Google DeepMind researchers have introduced Unified Latents (UL), a framework designed to navigate this trade-off systematically. The framework jointly regularizes latent representations with a diffusion prior and decodes them via a diffusion model.

Source: https://arxiv.org/pdf/2602.17270

🚀 Welcome to AI Unraveled (February 27th, 2026): Your daily strategic briefing on the business, technology, and policy reshaping artificial intelligence.

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This episode is made possible by our sponsors:

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Today’s Briefing: A historic day in AI finance and labor. OpenAI just raised a staggering $110 billion at a $730 billion valuation, fundamentally rewriting the rules of private equity. Meanwhile, Jack Dorsey’s Block has laid off 40% of its staff, citing AI efficiency as the driver. We also dive into Google’s Nano Banana 2, which has officially claimed the #1 spot for image generation while cutting costs in half.

Strategic Pillars & Key Topics:

• The $110 Billion Round: OpenAI’s record-breaking funding from Amazon, Nvidia, and SoftBank.

• The Efficiency Cliff: Block cuts 4,000+ jobs as Jack Dorsey bets the house on agentic AI tools.

• Nano Banana 2: Google’s new SOTA image model that finally solves the “AI text” and consistency problem.

• The $100K Benchmark: Why 50% of all high-paying jobs now officially require AI literacy.

• Pentagon Standoff: Anthropic’s Dario Amodei rejects the DoD’s “final offer” to drop safeguards.

• Meta’s TPU Pivot: Meta signs a multibillion-dollar deal to use Google’s custom chips.

• Teenage AI: A Pew study reveals 75% of teens using AI are seeing widespread “AI-fueled cheating.”

Keywords: OpenAI $110B Funding, Block AI Layoffs, Nano Banana 2, Jack Dorsey, OpenAI Amazon Partnership, OpenAI Nvidia Partnership, OpenAI SoftBank, $730 Billion Valuation, AI Infrastructure, Stateful Runtime Environment, Vera Rubin GPUs, Gemini 3.1 Flash Image, Google Image Generation, Anthropic Pentagon Standoff, Dario Amodei, AI Safeguards, Defense Production Act, Pew AI Teen Study, AI-Fueled Cheating, AI Literacy Job Requirement, $100K AI Jobs, AIRIA, DjamgaMind, Claude Opus 3 Retirement, Claude’s Corner, AI Talent Wars, Meta Google TPU Deal, AI Workforce Displacement

Credits: This podcast is created and produced by Etienne Noumen, Senior Software Engineer and passionate Soccer dad from Canada.

🚀 Reach the Architects of the AI Revolution

Want to reach 60,000+ Enterprise Architects and C-Suite leaders? Download our 2026 Media Kit and see how we simulate your product for the technical buyer: https://djamgamind.com/ai

Connect with the host Etienne Noumen: https://www.linkedin.com/in/enoumen/

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow. While all research, interviews, and strategic insights are curated by Etienne Noumen, we leverage advanced AI voice synthesis for our daily narration to ensure speed, consistency, and scale.

Google’s Nano Banana 2 claims No. 1 at half the cost

Image source: Google

Google just rolled out Nano Banana 2, the upgraded version of its viral image model with enhanced resolution, consistency, text rendering, and speed at half the price of its predecessor — taking the #1 spot on text-to-image leaderboards.

The details:

• The model beat both NB Pro and GPT Image 1.5 for the No.1 text-to-image spot on Artificial Analysis and LM Arena, also coming in at No. 3 on editing tasks.

• Output resolution scales to 4K across aspect ratios, with up to five characters and 14 objects staying visually consistent throughout a scene.

• At ~7 cents per image, it undercuts both Nano Banana Pro and OAI’s GPT Image 1.5 by nearly 2x — while providing speed at Gemini Flash levels.

• Nano Banana is now integrated as the default image generator across Gemini and Google’s tool ecosystem, with Pro still available for paid subscribers.

Why it matters: The Nano Banana models have been on the frontier of image gen since the original launch in August, and this latest version brings new SOTA capabilities at the speed and price points of a flash model. With the release, the tradeoff of having to choose between best quality and affordability appears to be on its way out.

Google’s Nano Banana 2 solves a key AI flaw

Google has once again raised the bar on AI image generation.

On Thursday, the company unveiled Nano Banana 2, the latest iteration of its image model, offering advanced world knowledge and quality and reasoning at faster speeds than its predecessor. Arguably, the biggest upgrade is how it handles text.

Nano Banana 2 is powered by real-time information and images gathered from web search. In a post on X, Google noted that users can create images with “real-world accuracy,” including improved lighting, textures and details.

“This deep understanding also helps you create infographics, turn notes into diagrams and generate data visualizations,” Google said in its announcement.

Of all of the upgrades that Nano Banana 2 touts, two in particular stick out: Creative control and text rendering.

• Nano Banana 2’s ability to render text with more accuracy is something that past image generators have largely struggled with, often making it one of the easiest ways to flag that an image was generated using AI. The model can also translate localized text within an image between languages.

• The model also offers more creative control, including better instruction following, subject and character consistency and production-ready specs with resolutions from 512px to 4K.

• These capabilities open the door for Google’s image model to be far more valuable for enterprise use cases, such as graphic design or marketing, where it can now be used to create printable materials.

Nano Banana 2 is currently available across the Google and Gemini suite, including in the Gemini app, search, AI Studio, Google Cloud and in the Google Ads platform.

OpenAI raises $110 billion in record funding round

• OpenAI announced it has raised $110 billion in private funding from Amazon, Nvidia, and SoftBank, making it one of the largest private funding rounds ever, against a $730 billion pre-money valuation.

• Amazon is investing $50 billion while expanding its AWS partnership by $100 billion, and OpenAI will build a new “stateful runtime environment” running its models on Amazon’s Bedrock platform.

• Nvidia is contributing $30 billion, with OpenAI committing to 3GW of inference capacity and 2GW of training on Vera Rubin systems, though $35 billion of Amazon’s share depends on undisclosed conditions.

Block lays off 40% of workforce in AI bet

• Block, the payments company behind Square and Cash App, announced plans to lay off 40% of its workforce — more than 4,000 employees — with CEO Jack Dorsey pointing to AI tools as the reason.

• Dorsey told shareholders that “intelligence tools have changed what it means to build and run a company,” and said he chose to act now rather than cut jobs gradually over months or years.

• Block reported $6.25 billion in fourth-quarter revenue, slightly above expectations, and shares rallied more than 20% in after-hours trading following the layoff announcement and improved 2026 gross profit outlook.

Anthropic refuses Pentagon demand to drop AI safeguards

• Anthropic CEO Dario Amodei said the company “cannot in good conscience” let the Pentagon use its AI models without limits, even after Defense Secretary Pete Hegseth threatened to invoke the Defense Production Act.

• Anthropic wants assurance its models will not be used for fully autonomous weapons or mass domestic surveillance, while the DoD insists the company agree to all lawful purposes without restrictions.

• Rivals OpenAI, Google, and xAI already agreed to let the DoD use their models for all lawful purposes, and xAI this week also allowed its models in classified settings alongside Anthropic’s existing access.

Netflix walks away from $83B Warner Bros takeover

• Netflix has decided not to raise its bid for Warner Bros., effectively handing the victory to David Ellison’s Paramount Skydance in the high-stakes fight over the studio.

• Co-CEOs Ted Sarandos and Greg Peters said the deal was “no longer financially attractive” and called it a “nice to have” at the right price, not a “must have.”

• Paramount’s winning proposal offered $31 per share with additional sweeteners, and Paramount agreed to cover the $2.8 billion termination fee Warner Bros. owes Netflix for ending its earlier merger agreement.

Google and Meta sign multibillion-dollar AI chip deal

• Meta has agreed to a multibillion-dollar deal to rent Google Cloud’s custom AI chips, known as tensor processing units, to train and run its next-generation large language models.

• The deal helps Meta diversify its AI hardware beyond Nvidia, following recent multibillion-dollar agreements to buy Nvidia’s Vera Rubin GPUs and AMD’s Instinct MI400 series GPUs.

• Google is also in talks to sell millions of TPUs directly to Meta for its own data centers, a separate arrangement from this cloud access deal, though no agreement has been reached.

OpenAI snags Meta’s $200M+ AI hire after 7 months

OpenAI pulled Ruoming Pang away from Meta’s Superintelligence Labs after barely seven months, according to The Information — the same AI infrastructure lead that Meta had previously poached from Apple with a reported $200M+ pay.

The details:

• Pang jumped to Meta last summer during its all-out poaching spree, previously running Apple’s models group and helping shape Apple Intelligence.

• OpenAI reportedly spent months courting Pang before he finally left, even after he’d assured colleagues that Meta’s infrastructure was on solid ground.

• OpenAI also hired Riley Walz, the engineer behind viral projects like Jmail and Find My Parking Cops, to join a new team prototyping AI interfaces.

Why it matters: While the AI talent wars aren’t as intense as they were this summer, there is still plenty of movement underway — most of it coming from xAI and Meta. But the quick departures of some of the splashiest poaches in less than a year show that company fit and direction might ultimately matter more than the pure dollars.

Pew study shows how teens are using AI

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Image source: Pew Research

Pew Research Center published a new study investigating how teens use AI, finding that the age group leans heavily on the tech for school work, reporting massive AI-fueled cheating, but viewing its overall impact positively.

The details:

• The survey of 1,458 U.S. teens and parents shows adoption at mainstream levels, with primary uses ranging from info, schoolwork, and purely for fun.

• Around 60% of those polled believed AI-assisted cheating is widespread among their classmates, rising to 75% among teens who use the tech.

• Teens tended to see AI as a personal positive, with responses including making life easier, learning, and efficiency, with negatives citing job or creativity loss.

• 40% of parents reported never having a conversation about the tech with their child, with a disconnect in knowledge of their child’s chatbot use.

Why it matters: Sam Altman recently said that this generation of kids will grow up in a world where AI’s intelligence and use will just be normal. But current teens are caught in an awkward moment where both the education system and society are struggling to adapt to the change, bringing both serious challenges and massive opportunities.

For $100K jobs, 50% now require AI skills

If you want a high-paying job, there aren’t many places left to hide from AI.

According to internal data from the U.S.-based job site Ladders, as seen by The Deep View, the number of knowledge worker job listings requiring AI skills has now skyrocketed to nearly half of all roles.

“We found in our data that about 50% of all high-paying jobs at the $100,000-plus level now include some type of requirement for AI literacy,” said Marc Cenedella, CEO of Ladders, in an exclusive interview with The Deep View.

That 50% with AI requirements is up from 20% in 2021, when most AI requirements focused on machine learning, deep learning, automation and big data.

Ladders, formerly TheLadders.com, launched in 2003, specializing in white-collar jobs paying $100,000 and above. Today, the site has listings for 1.1 million jobs in the U.S. and Canada and reviews 72 million job listings a year.

Here are more details from the company’s internal research on AI in job listings:

• For executive roles, 45% now require AI skills

• Across all of the different roles and industries, at least 40% of the job listings now contain AI requirements

• Other specific roles where at least 45-50% of the jobs listed now require AI skills include Data, Finance, Design, Product, Software Engineering, and HR.

AI is also impacting the process of finding and landing the best jobs, and not always in a good way. Generative AI has made it easy for job seekers to quickly create personalized cover letters and resumes. But it may be secretly torpedoing candidates’ chances at the best jobs, and not for the reasons they might think.

“When it comes to writing your resume, AI will give you an exactly average, typical resume, which is not what you want,” said Cenedella. “You want one that’s going to stand out and help you get the job. So for job seekers, it’s confusing, because they’ll use [AI] and it’ll produce something that is extremely [typical] and reads well, but it’s not actually helping them.”

What Else Happened in AI on February 27 2026?

Anthropic’s Dario Amodei released a statement rejecting Pentagon’s ‘final offer’ to allow Claude’s safeguards to be removed, saying threats “do not change our position.”

QuiverAI emerged from stealth and opened public beta access to Arrow 1.0, an SVG model that hit No. 1 on Design Arena’s SVG leaderboard just one day after launch.

Nous Research open-sourced Hermes Agent, an OpenClaw-style agent that lives on Telegram, Slack, Discord, and CLI — learning and building reusable skills over time.

Burger King is rolling out an OAI-powered chatbot called “Patty” inside employee headsets, tracking whether workers say “please” and “thank you” as a coaching tool.

Cursor upgraded its cloud agents with their own virtual machines and desktop control, letting them build, test, and validate code autonomously before shipping PRs.

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🚀 Welcome to AI Unraveled (February 26th, 2026): Your daily strategic briefing on the business, technology, and policy reshaping artificial intelligence.

This episode is made possible by our sponsors:

🛑 AIRIA: The era of the “Computer Action” model is here. As Perplexity and Anthropic launch agents that can operate your screen fo…

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🚀 Welcome to AI Unraveled (February 25th, 2026): Your daily strategic briefing on the business, technology, and policy reshaping artificial intelligence.

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🛑 AIRIA: The era of “Shadow AI” is evolving into “Rogue Agents.” As the Pentagon demands the removal of guardrails and Anthropic drops it…

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🚀 Welcome to the AI Unraveled Weekly Rundown.

This episode is made possible by AIRIA. 🛑 The “AI Sprawl” is here. Can you see it? From Gemini 3.1 to OpenClaw agents and Alibaba’s Qwen, your employees are now using a fragmented, high-speed AI stack. AIRIA is the industry-leading Control Plane for enterprise AI. It allows you to orchestrate multiple models, discover “Shadow AI,” and provide unified security and cost control in one single environment. 👉 Orchestrate Your Stack: Get the Airia Demo here.

Weekly Highlights:

This was the week the AI industry moved from “Chatbot” to “Agentic Operating System.” We cover Google’s massive reasoning breakthrough with Gemini 3.1 Pro, the $30 billion Nvidia-OpenAI equity deal, and OpenAI’s move into hardware with a Jony Ive-inspired smart speaker.

Key Segments:

• The Intelligence Crown: Gemini 3.1 Pro hits a 77.1% ARC-AGI score, doubling its reasoning power.

• The Wealth Explosion: Nvidia takes a $30B stake in OpenAI as average employee compensation hits $1.5 million.

• Hardware & Privacy: OpenAI’s upcoming smart speaker, glasses, and “smart lamp” project.

• Cybersecurity Shakeup: Anthropic’s Claude Code Security sends legacy cybersecurity stocks (CrowdStrike, Okta) tumbling.

• AI Geopolitics: The U.S. launches a “Tech Corps” to counter Chinese AI exports in the global south.

• The Ad-Free Pivot: Perplexity drops ads entirely to save user trust, while Google and OpenAI lean in.

• Workplace Mandates: Accenture begins tying promotions to weekly AI tool usage.

Credits: This podcast is created and produced by Etienne Noumen, Senior Software Engineer and passionate Soccer dad from Canada.

Keywords: Gemini 3.1 Pro, Nvidia OpenAI Stake, Claude Code Security, OpenAI Smart Speaker, US Tech Corps, Project Silica, OpenClaw, Perplexity Ads, Accenture AI Promotions, AIRIA, Shadow AI, Reasoning Breakthrough, ARC-AGI-2

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⚗️ PRODUCTION NOTE: We Practice What We Preach: AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow. While all research, interviews, and strategic insights are curated by Etienne Noumen, we leverage advanced AI voice synthesis for our daily narration to ensure speed, consistency, and scale.

OpenAI plans an AI smart speaker with camera

• OpenAI is working on a $200 to $300 smart speaker with a built-in camera, part of a broader push into AI-powered hardware that also includes smart glasses and a smart lamp.

• The speaker could identify objects on a nearby table, listen to conversations, and support facial recognition for authenticating purchases, with a team of over 200 employees building the project.

• The smart speaker could ship in early 2027 at the earliest, while smart glasses may not arrive until 2028, and the project has already faced delays over technical, privacy, and logistical issues.

Supreme Court blocks tariffs costing Apple billions

• The Supreme Court ruled 6 to 3 that Trump’s sweeping “Liberation Day” tariffs were illegal because he imposed them without Congress, costing Apple around $2 billion in fees paid to the government.

• Chief Justice John Roberts wrote that IEEPA does not authorize the president to impose tariffs, and Justice Kavanaugh warned that the refund process for billions collected from importers will be a “mess.”

• Beyond direct tariff fees, companies like Apple spent hundreds of millions reorganizing manufacturing and distribution, while smaller US firms were put out of business with no clear path to recovery.

OpenAI targets $600 billion in compute spending by 2030

• OpenAI now projects it will spend a total of $665 billion on training and running AI models through 2030, raising its cumulative cash burn estimate by roughly $111 billion compared to previous forecasts.

• Revenue more than tripled to $13.1 billion in 2025, but adjusted gross margin fell to 33 percent from 40 percent the prior year, as inference costs alone quadrupled during that period.

• OpenAI does not expect to become cash-flow positive until 2030 and is negotiating a funding round exceeding $100 billion at a $750 billion valuation, with SoftBank, Amazon, Nvidia, and Microsoft involved.

Anthropic launches Claude Code Security

• Anthropic has launched Claude Code Security, a tool built into Claude Code that scans codebases for security vulnerabilities and suggests patches, though humans must review and approve every fix.

• The company says Claude Opus 4.6 has found over 500 vulnerabilities in production open-source codebases, including bugs that went undetected for decades despite years of expert scrutiny.

• Cybersecurity stocks dropped sharply after the announcement, with CrowdStrike falling 8 percent, Cloudflare 8.1 percent, Okta 9.2 percent, and SailPoint 9.4 percent on the same day.

US plans Tech Corps to counter China AI exports

• The U.S. government is creating a “Tech Corps” volunteer program, run through the Peace Corps, to send people abroad and promote American AI products as it competes with China for influence.

• Chinese open models from Alibaba, Minimax, and Moonshot rank among the most downloaded on Hugging Face and OpenRouter because they are cheaper, customizable, and can run on local infrastructure.

• Volunteers with STEM degrees will spend one to two years helping integrate American AI into farms, hospitals, and schools, but a Brookings fellow said persuasion alone won’t overcome economic realities.

Nvidia nears $30 billion investment in OpenAI

• Nvidia is close to finalizing a $30 billion equity stake in OpenAI, replacing a previously announced $100 billion infrastructure deal, with the new agreement potentially closing as early as this weekend.

• The restructured deal lets Nvidia take direct equity in OpenAI at a $730 billion pre-money valuation while still selling chips to the company, giving it both ownership upside and hardware revenue.

• Wall Street analysts remain bullish, with 57 out of 61 ratings at Buy and a 12-month average NVDA price target of $253.88, representing a roughly 35 percent upside from current levels.

Google launches Gemini 3.1 Pro

• Google released Gemini 3.1 Pro today, a new model designed for complex tasks where a simple answer falls short, marking the first time Google has used a .1 increment between generations.

• The model scores 77.1% on ARC-AGI-2, which Google says is more than double the reasoning performance of 3 Pro, thanks to upgraded core intelligence that debuted in Gemini 3 Deep Think.

• Gemini 3.1 Pro is rolling out in the Gemini app, NotebookLM, and developer tools like Google AI Studio and Vertex AI, though it launches in preview before becoming generally available soon.

Microsoft stores data in glass for 10,000 years

• Microsoft’s Project Silica can store data inside a thin piece of borosilicate glass using laser technology, and the material could theoretically last 10,000 years without degrading.

• The system encodes information in phase voxels — three-dimensional equivalents of pixels — using femtosecond lasers, and a single glass chip can hold 4.8 terabytes of data.

• Project Silica was built for organizations like the National Archives and museums that need storage immune to malware, decay, and ongoing maintenance costs over long periods.

Accenture ties promotions to AI adoption

• Accenture is now tying employee promotions to regular use of its internal AI tools, tracking weekly logins and making that data a visible factor in summer promotion decisions.

• Senior staff appear more reluctant to adopt AI than junior employees, and some workers have called the tools ineffective “broken slop generators,” with one threatening to quit.

• Not all employees face the new rule equally — staff in 12 European countries and the US federal government contracts division are exempt from having AI adoption tracked for promotions.

Anthropic launches Claude Sonnet 4.6 as new default model

• Anthropic released Claude Sonnet 4.6 as the new default model for Free and Pro plan users, continuing the company’s pattern of updating its mid-size Sonnet model roughly every four months.

• The beta release includes a 1 million token context window, double the previous largest Sonnet window, which Anthropic says can hold entire codebases, lengthy contracts, or dozens of research papers.

• Sonnet 4.6 posted record benchmark scores in computer use and software engineering, plus a 60.4% on ARC-AGI-2, though it still trails Opus 4.6, Gemini 3 Deep Think, and a refined GPT 5.2.

Perplexity drops ads from its AI search engine

• Perplexity, the AI search startup that was among the first AI companies to introduce ads, is now dropping advertising from its product and has no plans to pursue it further.

• A Perplexity executive told the Financial Times that ads made users “start doubting everything,” undermining trust in the chatbot’s answers and making people less willing to pay for it.

• The move comes as competitors head the other direction: OpenAI recently started testing ads on ChatGPT, Google shows ads in AI search results, while Anthropic has committed to keeping Claude ad-free.

Google Gemini can now generate music with Lyria 3

• Google is rolling out a music-generation feature in the Gemini app, powered by DeepMind’s Lyria 3 model, which can create 30-second tracks with lyrics and cover art from text prompts.

• Users can upload a photo or video to generate a matching song, control elements like style, vocals, and tempo, and all output carries a SynthID watermark to identify AI-generated content.

• Google is also expanding Dream Track on YouTube globally for creators, though the tool won’t mimic artists directly — naming one in a prompt only inspires a track with similar style or mood.

SpaceX competes in Pentagon AI drone swarm contest

• SpaceX and its subsidiary xAI are competing in a secretive $100 million Pentagon contest to build voice-controlled, autonomous drone swarming technology, marking a new move into AI-enabled weapons development for Elon Musk.

• The six-month competition, launched by the Defense Innovation Unit and the new Defense Autonomous Warfare Group, will progress in five phases from software development to real-life testing of drones for offensive purposes.

• OpenAI is also involved through a partner company called Applied Intuition but limited to voice-command translation, while SpaceX and xAI are expected to work on the entire project together, raising concerns among defense officials.

OpenAI adds Lockdown mode to ChatGPT

• OpenAI has added a new Lockdown Mode and an “Elevated Risk” warning label to ChatGPT, both designed to protect users from prompt injection attacks that can trick AI into leaking sensitive data.

• Lockdown Mode is optional and deterministically limits or fully disables high-risk features like web browsing, while the “Elevated Risk” label warns users before actions like opening unverified external links.

• Business plan users on ChatGPT Enterprise, Edu, Healthcare, and Teachers already have the protection, but OpenAI said it will roll out to other users in the coming months across unknown payment tiers.

OpenClaw creator Peter Steinberger joins OpenAI

• Peter Steinberger, the creator of the autonomous AI tool OpenClaw, is joining OpenAI to work on what the company calls “the next generation of personal agents” for ChatGPT and other products.

• OpenClaw operates autonomously by accessing personal services like email and computer files to handle tasks such as clearing your inbox, and it sends updates through iMessage or WhatsApp.

• Altman confirmed that OpenClaw will continue as an open-source project with OpenAI “support,” though security experts have raised concerns about the tool’s broad access to users’ information and services.

Alibaba launches Qwen 3.5 AI model

• Alibaba released Qwen 3.5, a large language model designed for the “agentic AI era,” which the company says outperforms GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro on several internal benchmarks.

• Qwen 3.5 is 60% cheaper than the previous version, up to eight times better at handling large workloads, and includes an open-weight model released under an Apache 2.0 license supporting 201 languages.

• The launch comes days after ByteDance updated its Doubao chatbot, which leads China with nearly 200 million users, while DeepSeek is expected to introduce a next-generation model soon.

What Else Happened in AI From February 15th to febraury 22 2026?

1. Pope Leo XIV has urged priests to not to use artificial intelligence to write their homilies or to seek “likes” on social media platforms like TikTok.

2. Google VP warns that two types of AI startups may not survive.

3. NVIDIA Releases DreamDojo: An Open-Source Robot World Model Trained on 44,711 Hours of Real-World Human Video Data.

4. Anthropic Launches Claude Code Security for AI-Powered Vulnerability Scanning.

Listen to Full Audio at

🚀 Welcome to a Special Edition of AI Unraveled.

This episode is made possible by AIRIA. 🛑 Stop fearing Shadow AI. Orchestrate it. As we move from siloed apps to autonomous agents like OpenClaw, your traditional IT perimeter is effectively gone. Developers and employees are now running “Sovereign Brains” directly on their local hardware. AIRIA is the industry-standard “Control Plane” for your entire enterprise AI stack. It gives you unified security, real-time cost control, and visibility into every agent loop—no matter where it’s running.

👉 Secure Your Stack: Get the Airia Demo:

The Agentic Revolution: For two decades, we lived by the rule: “There’s an app for that.” In 2026, that rule has been shattered. We are witnessing the rise of the Agent Operating System (AIOS), where the LLM is the kernel and autonomous agents are the primary interface. At the heart of this shift is OpenClaw, the viral project that just joined forces with OpenAI to become a global foundation.

In this special deep dive, we analyze the structural collapse of the app-centric paradigm and the rise of personal, proactive intelligence.

Teaser Timestamps

• 00:00 – Headlines: The Death of the App Store & the Rise of Agent OS

• 00:13 – Host Intro: A Special Briefing on OpenClaw & OpenAI

• 00:25 – The Shift to Intent-Centric Computing

• 00:43 – OpenClaw: From Hobbyist Project to OpenAI Foundation

• 00:58 – The “AI Employee”: Proactive Autonomy on Your Hardware

• 01:15 – Sponsor Message: Secure and Orchestrate with AIRIA

• 01:38 – Full Deep Dive Preview: The “SaaSpocalypse”

• 01:54 – Outro: Listen to the Full Report

Strategic Pillars & Key Topics:

• The AIOS Architecture: Understanding the shift from managing CPUs to orchestrating millions of GPUs. Why the LLM is the new OS kernel.

• The OpenClaw Watershed: How Peter Steinberger’s project went from 200,000 GitHub stars to an OpenAI-backed foundation.

• The SaaSpocalypse: Why investors just wiped $2 trillion off the software market as agents begin to “kill” the per-seat SaaS model (Salesforce, Zendesk, Atlassian).

• Intent-Centric Computing: Moving from “Screen-as-Interface” to natural language intent fulfillment.

• The “Mum-Proof” Agent: OpenAI’s plan to make autonomous agents safe and simple for everyone.

• Shadow AI Security: The “Lethal Trifecta” of local agents and how to secure the new agentic perimeter.

Credits: This podcast is created and produced by Etienne Noumen, Senior Software Engineer and passionate Soccer dad from Canada.

Keywords

OpenClaw, AI Operating System, AIOS, SaaSpocalypse, OpenAI Foundation, Peter Steinberger, Agentic Systems, Shadow AI, AIRIA, Intent-Centric Computing, AI Employee, Model Context Protocol, MCP, Local-First AI.

🚀 Reach the Architects of the AI Revolution

Want to reach 60,000+ Enterprise Architects and C-Suite leaders? Download our 2026 Media Kit and see how we simulate your product for the technical buyer: https://djamgamind.com/ai

Connect with the host Etienne Noumen: https://www.linkedin.com/in/enoumen/

⚗️ PRODUCTION NOTE: We Practice What We Preach: AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow. While all research, interviews, and strategic insights are curated by Etienne Noumen, we leverage advanced AI voice synthesis for our daily narration to ensure speed, consistency, and scale. We are building the future of automated media—one episode at a time.

🚀 Welcome to AI Unraveled (Feb 18, 2026):
This episode is made possible by AIRIA. 🛑 Stop fearing Shadow AI. Orchestrate it. With the release of Claude Sonnet 4.6 and the viral rise of OpenClaw, your employees are deploying intelligence faster than your IT department can track it. AIRIA is the “Control Plane” for your entire enterprise AI stack, giving you unified security, real-time cost control, and visibility into every agent loop—whether it’s on a server or a local Raspberry Pi.
👉 Secure Your Stack: Get the Airia Demo here.
Today’s Briefing: We dive into Anthropic’s “trickle-down” strategy as Sonnet 4.6 matches flagship performance at a fraction of the cost. We also analyze Apple’s aggressive push into AI wearables, the escalating feud between Anthropic and the Pentagon, and the $200 billion investment from Micron to break the memory bottleneck. Plus: Why Raspberry Pi stock is soaring and the “ROI Regret” hitting 74% of CIOs.

Strategic Pillars & Key Topics:

🧠 The Efficiency Shift

Claude Sonnet 4.6: Anthropic’s new mid-tier model beats its own flagship Opus 4.6 in finance and coding benchmarks while costing 80% less.

Qwen-3.5: Alibaba’s new open-weight model delivers frontier performance with massive inference gains, activating only 17B out of 397B parameters.

⌚ Hardware & Wearables

Apple’s AI Eyes: Bloomberg reports Apple is fast-tracking camera-equipped glasses, pendants, and AirPods to give Siri real-time visual awareness.

Raspberry Pi Surge: Enthusiasts are betting on $RPI as the preferred platform for running OpenClaw personal agents locally.

🛡️ Defense & Security

Pentagon Drone Swarms: SpaceX and xAI enter a $100M contest to build voice-controlled autonomous drone swarms.

Anthropic Feud: The Pentagon threatens to label Anthropic a “supply chain risk” over the lab’s refusal to remove safety guardrails for military use.

Lockdown Mode: OpenAI introduces a “Lockdown Mode” for ChatGPT to prevent prompt injection and data leaks.

📉 Business & ROI

The CIO Regret: A new Dataiku report finds 74% of CIOs regret at least one major AI vendor decision made in the last 18 months.

Alpha School Controversy: Inside the $65,000 AI-powered school accused of generating faulty lesson plans and “betraying” students.

Credits: This podcast is created and produced by Etienne Noumen, Senior Software Engineer and passionate Soccer dad from Canada.

Timestamps:
00:00 – Intro: Anthropic’s pricing shock with Sonnet 4.6, Apple’s visual AI strategy, and the drone swarm battle.
01:05 – Sponsor Segment: Managing Shadow AI and orchestration with AIRIA.
02:08 – Claude Sonnet 4.6: The “trickle-down” strategy—beating the flagship Opus 4.6 for 1/5th of the price.
06:55 – Apple’s AI Eyes: The fast-tracking of smart glasses, pendants, and camera-equipped AirPods.
10:15 – Figma & Claude Code: Integrating “vibe-coded” prototypes into editable design canvases.
13:40 – Sponsor Mid-Roll: Orchestrating the “Shadow AI” movement with AIRIA.
15:52 – Defense & Geopolitics: SpaceX joins the drone swarm contest; the Pentagon-Anthropic standoff escalates.
19:15 – Hardware Boom: Micron’s $200B investment in HBM to break the AI memory bottleneck.
22:10 – OpenClaw & Raspberry Pi: The single-board computer mania and the risks of DIY personal agents.
27:30 – The ROI Crisis: Why 74% of CIOs regret their recent AI vendor decisions.
31:45 – Alpha School Controversy: Inside the AI-powered private school accused of “betraying” students with faulty lessons.
35:50 – Conclusion & Outro: The signal of “Disruption” and a final message from AIRIA.

Keywords: Claude Sonnet 4.6, Apple Smart Glasses, AI Wearables, OpenAI Lockdown Mode, Micron Memory Boom, Raspberry Pi AI, OpenClaw, Pentagon Drone Swarms, Anthropic vs Pentagon, Alpha School AI, Qwen-3.5, AIRIA, Shadow AI, CIO ROI Regret.

🚀 Reach the Architects of the AI Revolution
Want to reach 60,000+ Enterprise Architects and C-Suite leaders? Download our 2026 Media Kit and see how we simulate your product for the technical buyer: https://djamgamind.com/ai

Connect with the host Etienne Noumen: https://www.linkedin.com/in/enoumen/

⚗️ We Practice What We Preach: AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

Anthropic’s powerful Claude Sonnet 4.6

Image source: Anthropic

Anthropic just rolled out Claude Sonnet 4.6, its latest mid-tier model that matches or beats the flagship Opus 4.6 across finance, computer use, coding, and office benchmarks at 1/5 of the price — while featuring a 1M token context window.

The details:

• On SWE-Bench Verified for coding, Sonnet 4.6 came in at 79.6%, just below Opus 4.6’s 80.8% — while costing just 1/5 as much to run.

• Sonnet 4.6 outscored Opus 4.6 on agentic financial analysis and office-task benchmarks, a first for the mid-tier Claude model.

• Early Claude Code testers preferred Sonnet 4.6 over its predecessor 70% of the time, also winning over Opus 4.5 at a 59% rate.

• Computer use capabilities also keep climbing, with Sonnet’s OSWorld scores jumping from under 15% in late 2024 to 72.5%.

Why it matters: Anthropic is running a trickle-down playbook at warp speed, shipping near Opus-caliber capabilities to its cheaper line just weeks after the flagship upgrade. With strong Chinese models continuing to undercut everyone on price, Sonnet 4.6 looks like Anthropic’s bid to better compete for the volume layer of the agentic boom.

Apple going all-in on AI wearables

Image source: Lovart / The Rundown

Apple is reportedly fast-tracking three camera-equipped AI wearables, according to Bloomberg — including smart glasses, a pendant, and new AirPods all designed to give Siri real-time visual awareness through the iPhone.

The details:

• The glasses will feature dual cameras, Apple-designed frames, no display, and a production target of late this year ahead of a 2027 launch.

• The pendant will act as an always-on camera and mic for your iPhone, internally dubbed the phone’s “eyes and ears”.

• Camera-equipped AirPods could ship as early as this year, using low-res sensors to feed Siri visual context and building on live-translation features.

• All three devices will tie into Apple’s revamped Siri, which is expected to get a chatbot-style interface in iOS 27 later this year, powered by Google’s Gemini.

Why it matters: AI wearables from Apple (that actually feature a working model) would immediately shake up the mainstream hardware landscape and vault the tech giant into the AI spotlight. But these devices depend on a Siri overhaul that we still need to see to actually trust after years of absolutely brutal delays and underdelivering.

Figma turns Claude Code builds into editable designs

Image source: Figma

Figma just introduced a new “Code to Canvas” integration with Anthropic that lets developers capture interfaces built in Claude Code and convert them into fully editable design files on Figma’s canvas.

The details:

• The feature grabs live UI from a browser and turns it into native Figma layers that can be duplicated, annotated, or rearranged.

• Figma’s existing MCP server closes the loop, letting developers pull edited designs back into coding environments without losing the shared context.

• Devs can capture entire multi-step flows at once, keeping the full user journey intact so teams can review and edit the experience side by side.

• The launch comes as Figma stock has cratered roughly 85% from last summer’s high amid a broader SaaS selloff driven by AI coding fears.

Why it matters: This generation of AI coding tools has made it trivial to build a working UI, but Figma is hoping to be the polished, shippable design layer on top of raw vibe-coded prototypes. But with model capabilities only improving, that polishing layer may also soon be automated — something the markets appear to notice as well.

SpaceX competes in Pentagon AI drone swarm contest

• SpaceX and its subsidiary xAI are competing in a secretive $100 million Pentagon contest to build voice-controlled, autonomous drone swarming technology, marking a new move into AI-enabled weapons development for Elon Musk.

• The six-month competition, launched by the Defense Innovation Unit and the new Defense Autonomous Warfare Group, will progress in five phases from software development to real-life testing of drones for offensive purposes.

• OpenAI is also involved through a partner company called Applied Intuition but limited to voice-command translation, while SpaceX and xAI are expected to work on the entire project together, raising concerns among defense officials.

Anthropic-Pentagon feud escalates over AI use

The Pentagon is reportedly “close” to cutting ties with Anthropic and designating the company a “supply chain risk” — a badge usually reserved for foreign adversaries — over its restrictions on how Claude is used by the military.

The details:

• The designation of “supply chain risk,” if given, would force all U.S. defense contractors to cut ties with Anthropic — hitting the AI’s major business severely.

• Defense officials are demanding the right to use AI for “all lawful purposes,” while Anthropic is holding firm against granting broad permissions.

• The company is open to loosening restrictions but wants to ensure its AI is not used for spying on Americans or building autonomous weapons, Axios reports.

• Claude is currently the only AI on the Pentagon’s classified systems, and was also reportedly used via Palantir to capture Nicolás Maduro in January.

Why it matters: Experts have long warned about the unchecked use of AI in warfare, and this standoff marks a notable moment showing the growing friction between companies’ responsible-use guardrails and the military’s operational demands. Only time will tell which side shapes the rules of AI in national security.

Alibaba nears frontier with open-weight Qwen-3.5

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Image source: Qwen

Alibaba’s Qwen released Qwen3.5-397B-A17B, an open-weight vision language model featuring a “hybrid architecture” that delivers massive inference gains while rivaling proprietary giants like OpenAI’s GPT-5.2 and Google’s Gemini 3 Pro.

The details:

• Qwen-3.5 uses a sparse MoE design, activating only 17B parameters out of 397B for each query, balancing high-level capabilities with low latency.

• The model is close to frontier players across the board, and even surpasses them in domains like agentic search, doc recognition, and instruction following.

• Alibaba claims it is 60% cheaper to use and at least 8x better at processing large workloads than its immediate predecessor, Qwen3-Max.

• The release is aimed at handling continuous, multimodal reasoning required by agents, although it doesn’t seem very good at running a vending machine yet.

Why it matters: Chinese labs are on a roll, and with Qwen3.5 combining near frontier performance, 60% lower costs, and open weights, the race is clearly shifting toward efficiency and scalability. If the momentum continues, the AI balance may hinge less on raw size and more on who can deliver powerful models at the lowest rate.

OpenAI adds Lockdown mode to ChatGPT

• OpenAI has added a new Lockdown Mode and an “Elevated Risk” warning label to ChatGPT, both designed to protect users from prompt injection attacks that can trick AI into leaking sensitive data.

• Lockdown Mode is optional and deterministically limits or fully disables high-risk features like web browsing, while the “Elevated Risk” label warns users before actions like opening unverified external links.

• Business plan users on ChatGPT Enterprise, Edu, Healthcare, and Teachers already have the protection, but OpenAI said it will roll out to other users in the coming months across unknown payment tiers.

Micron invests $200B to break the AI memory bottleneck

• Micron Technology is spending $200 billion to expand its U.S. manufacturing, including two new fabs in Boise and a $100 billion complex near Syracuse, to address the AI memory chip shortage.

• Demand for high-bandwidth memory chips has far outpaced supply as AI data centers have grown, with DRAM contract prices rising over 170% and DDR5 prices jumping nearly 500% since September.

• Micron’s gross margins have climbed from 18.5% in early 2024 to 56% recently as it shifted toward data-center HBM chips, and its share price has risen more than sixfold since last April.

OpenClaw boosts interest in Raspberry Pi

Shares in the British single-board computer makers are spiking thanks to enthusiasm around OpenClaw, adding more than $1 billion to its market value so far. Bloomberg suggests that the incredible rally is all thanks to a Long $RPI social media post from Monday (which didn’t even go that viral), suggesting that the company’s SBCs will become a preferred platform for running OpenClaw cheaply. If Raspberry Pi becomes the new Mac Mini, this could turn out to be a smart bet.

Ready to install OpenClaw? Do it smart, or wait

When OpenAI hired OpenClaw founder Peter Steinberger, it officially turned personal AI agents into the hottest trend of 2026.

If you’re feeling FOMO and are about to spend $500 on a Mac mini to install OpenClaw and spin up your own personal AI assistant, there are a few factors you may want to consider first.

Despite what you may have heard, installing OpenClaw is a pretty technical and time-intensive process. There are four-hour YouTube videos that walk you through the entire process —and that doesn’t include all the prep and planning it takes to do it right by setting up separate accounts for email, texting, GitHub, Slack, an Apple account, and any other services you want your personal AI assistant to work with.

That brings us to the second caveat: You shouldn’t install this on your main computer or allow it to use your logged-in accounts for email, file storage, text messaging, etc. That would be like hiring a new employee and giving them the password to your laptop and your email on the first day.

Remember that AI agents are non-deterministic systems. That means they don’t follow a set of step-by-step instructions. In fact, they can delete all of your files because they perceive that you are well-organized and thought it would be helpful to clean up for you.

So instead of installing OpenClaw yourself right now, consider one of these options:

• Use a cloud-based OpenClaw service like Hostinger, MyClaw.ai, or V2Cloud. You can spin up one of these almost instantly for $5-$10 per month, and they give you a secure sandbox that keeps your personal AI assistant from accessing other machines and data on your network.

• Wait until OpenAI and Steinberger release their personal AI assistant product that will “bring agents to your mom and everyone else,” as OpenAI’s CMO Kate Rouch said. We should expect that to happen relatively quickly.

• Give Anthropic’s Claude Cowork a try. It’s another AI agent, but it has more guardrails to keep you from getting in trouble. For enterprises, there’s also the lesser-known Amazon Quick Suite, which offers many of the benefits of personal AI assistants within the confines of a traditional IT environment.

Conflicting signals: AI investments vs. ROI doubts

AI investments continue surging, evident in headlines, fundraising rounds, stock rallies, and product launches. But executives are having second thoughts.

The AI company Dataiku released a new global report based on a Harris Poll survey of more than 800 CIOs worldwide, and it found that CIOs are not only facing regret from their AI investments, but also hold anxiety about what AI’s ability to perform means for their organization’s future and their jobs.

A majority of CIOs (74%) said their role will be at risk if their company does not deliver measurable business gains from AI within the next two years. At the same time, they are not seeing the results, yet they are being questioned about them. The report found that:

• 74% say they regret at least one major AI vendor or platform decision made in the last 18 months.

• 62% say their CEO has directly questioned or challenged those decisions.

• Nearly one-third (29%) say they have repeatedly been asked to justify AI outcomes they could not fully explain.

“ROI is a real question, but the honest answer is that we’re early. It’s normal that measurement frameworks haven’t caught up with a technology whose application is still being defined,” Kurt Muehmel, Head of AI Strategy at Dataiku, told The Deep View. “The pressure is real. But the answer isn’t to stop investing, it’s to stop investing badly.”

To maximize the value of AI investments, Muehemel recommends avoiding a single model provider. Advantages of this approach include: switching to better models as they evolve rapidly, leveraging cheaper alternatives if the AI bubble pops, and avoiding the need to rebuild your entire system when swapping out a model.

A Gartner report that surveyed more than 300 CFOs and finance leaders also found that they are willing to increase AI spending in 2026 based on the future promise of AI. The report found that 60% of CFOs plan to increase AI investments in the finance function by 10% or more in 2026, while another 24% expect gains of 4% to 9%.

“This investment surge is driven by a ‘Return on the Future’ mindset, which prioritizes long-term strategic disruption and competitive parity over immediate financial gains,” said Nauman Raja, Director Analyst at Gartner. “After all, 88% of CFOs view AI as a critical mandate for future efficiency, so its potential of being a disruptive force is too great for CFOs not to invest in and try to achieve gains with.”

Students Are Being Treated Like Guinea Pigs:’ Inside an AI-Powered Private School

Alpha School, an “AI-powered private school” that heavily relies on AI to teach students and can cost up to $65,000 a year, is AI-generating faulty lesson plans that internal company documentation find sometimes do “more harm than good,” and scraping data from a variety of other online courses without permission to train its own AI, according to former Alpha School employees and internal company documents.

Alpha School has earned fawning coverage from Fox News and The New York Times and received praise from Linda McMahon, the Trump-appointed Secretary of Education, for using generative AI to chart the future of education. But samples of poorly constructed AI-generated lessons that I have viewed present students with unclear wording and illogical choices in multiple choice questions.

“These questions not only fail to meet SAT standards but also fall short of the quality we promise to deliver,” one employee wrote in the company’s Workflowy, a company-wide note taking app where every employee can see what other employees are working on, including their progress and thoughts on various projects. “From a student’s perspective, when answer options don’t logically fit the question, it feels like a betrayal of their effort to learn and succeed. How can we expect students to trust our assessments when the very questions meant to test their knowledge are flawed?”

What Else Happened in AI on February 18th 2026?

xAI began rolling out the long-awaited Grok 4.20 in a public beta, featuring a new agent workflow that uses four agents working in parallel to research and handle tasks.

Meta and Nvidia announced a new multiyear AI chip deal spanning millions of GPUs and CPUs to help power the tech giant’s AI infrastructure buildout.

Cohere Labs open-sourced Tiny Aya, a 3.35B parameter multilingual model that handles 70+ languages with strong gains for typically underrepresented dialects.

French AI startup Mistral made its first-ever acquisition, with serverless platform Koyeb joining to boost its Mistral Compute cloud infrastructure arm.

WordPress launched a new AI assistant capable of editing layouts, generating images, and rewriting content directly inside the editor for streamlining website design.

Meta patented a social networking system that uses AI trained on a user’s interaction data to simulate their responses when they’re on a long break, or even deceased.

India kicked off its AI Impact Summit, hosting execs from global AI giants, including OpenAI’s Sam Altman, Google’s Sundar Pichai, and Anthropic’s Dario Amodei.

Sam Altman and Dario Amodei confirmed India is now the second-largest market for ChatGPT and Claude, with Amodei also announcing Anthropic’s Bengaluru office.

Ireland’s Data Protection Commission is probing xAI’s Grok over concerns it can generate sexualized images of women and children, after similar UK and EU action.

SpaceX (and xAI) will reportedly compete in the Pentagon’s $100M contest to produce voice-controlled, autonomous drone swarming technology.

ElevenLabs launched its “ElevenLabs for Government” initiative to help public sector agencies deploy secure, multilingual voice and chat AI.