Meta Can't Build Fast Enough. Washington Punishes Those Who Can.

San Francisco | Friday, March 13, 2026

Meta burned $135 billion on AI this year and still had to discuss licensing Google's model to power its own products. The company that promised superintelligence can't clear a benchmark Google passed four months ago. Avocado is delayed to May. The selfies keep coming. The frontier models do not.

In Washington, the Pentagon's CTO found a new word for AI safety principles: pollution. Emil Michael told CNBC on Thursday that Claude's values would contaminate the military supply chain. Google, Amazon, Apple, and Microsoft filed court papers siding with Anthropic. The industry agrees on almost nothing, except this: if safety is contamination, nobody's principles are safe.

Stay curious,

Marcus Schuler

Meta Delays Avocado AI Model After Failing to Match Google's Gemini 3.0

Meta spent $135 billion on AI this year and still couldn't build a model that beats Google's. The company discussed licensing Gemini to fill the gap.

The New York Times reported Thursday that Meta's flagship AI model, code-named Avocado, failed internal benchmarks against Google's Gemini 3.0 on reasoning, coding, and writing. The release slipped from March to at least May. Same week Meta announced a multibillion-dollar Nvidia GPU deal across 26 U.S. data centers.

The bigger tell: Meta's AI leadership discussed temporarily licensing Google's Gemini to power the company's own products while Avocado catches up. No decision was reached. But the conversation happened inside a company that hired Scale AI's Alexandr Wang for $14.3 billion to build superintelligence.

Nine months into that bet, Yann LeCun left rather than report to Wang. Six hundred jobs were cut. Multiple restructurings followed. Zuckerberg posted a selfie with Wang on Monday. When companies feel confident, they ship products. When they feel cornered, they post selfies.

Google has iterated through Transformer, BERT, LaMDA, PaLM, and multiple Gemini generations across eight years. Meta's Superintelligence Labs opened nine months ago. You can buy GPUs. You can't compress institutional knowledge.

Why This Matters:

• Meta risks becoming a customer of the companies it set out to compete with, a position that erodes both developer loyalty and investor confidence
• The company abandoned open-source Llama for Avocado's closed approach; if the closed model still can't compete, Meta loses both bets at once

Meta Delays Avocado AI Model After Failing Google Benchmarks

Meta pushed Avocado's release to May after it failed to match Gemini 3.0. Leadership discussed licensing Google's model to fill the gap.

Implicator.ai

The One Number

Pentagon CTO Calls Claude's Safety Values 'Pollution,' Big Tech Files Amicus Briefs

The Pentagon's chief technology officer said Anthropic's AI would "pollute" the military supply chain. Not because it fails. Because it has values.

Emil Michael told CNBC Thursday that Claude's published safety constitution would contaminate weapons systems and body armor procurement. The word choice matters. Michael didn't cite a technical failure or a security vulnerability. He described Anthropic's alignment commitments as the threat itself.

The commercial fallout is already measurable. Anthropic's expected $500 million in government revenue dropped by an estimated $150 million. A $15 million financial services deal was paused. Two firms demanded cancellation clauses on $80 million in combined contracts. A Fortune 20 company's lawyers were "freaked out."

Within days, Google, Amazon, Apple, and Microsoft filed court papers backing Anthropic. Thirty-eight OpenAI and Google employees filed separately. Two dozen former military officials warned the Pentagon's actions "send the message that investing in national security carries the risk of capricious retaliation." Meta stayed quiet.

The statute invoked, Section 3252, was written to block foreign adversaries. Anthropic is headquartered in San Francisco. Five legal experts told Reuters the Pentagon likely overstepped.

Why This Matters:

• If a company's published safety principles can be labeled contamination, no AI developer's responsible-use policy is safe from government retaliation
• The commercial radiation pattern extends far beyond Pentagon contracts, punishing companies across industries for associating with Anthropic

Pentagon CTO Says Claude's Values 'Pollute' Supply Chain

Emil Michael called Claude's safety principles contamination. Big Tech filed amicus briefs. Anthropic faces billions in commercial fallout.

Implicator.ai

AI Image of the Day

Prompt: North Korean supreme leader smoking a cigar, with a text saying "SUPREME", 1950s communist propaganda poster style, 4k quality, hd, On a white background. --chaos 85 --ar 2:3 --raw --sref https://s.mj.run/lnPDCyExrKM https://s.mj.run/OeCVTkiR0cI --profile cgrzuc1 --stylize 50

From Shoebox to Spreadsheet. Build an AI Tax Pipeline for Under $25

A step-by-step build guide that turns a box of crumpled receipts into a structured spreadsheet, using open-source tools and Claude. Annual AI cost: under $25.

Tax season eats 13 hours per person on average, and most of that time goes to paper shuffling, not understanding the tax code. This tutorial wires together three layers: Paperless-ngx for document scanning and OCR, an AI classification layer that auto-tags each document on arrival, and Claude connected through the Model Context Protocol to extract data straight into Google Sheets.

The pipeline runs year-round on a Mac mini drawing 5-10 watts. Claude Haiku processes 1,000 tax documents for under $3 in API fees. Self-hosting costs roughly $0.80 per month in electricity. No developer experience required, just Docker and a free weekend.

Why This Matters:

• Replaces the most tedious part of tax prep without touching tax code interpretation, keeping humans in control of filing decisions
• A practical example of MCP-powered automation that works today, not a demo or a waitlist

Build an AI Tax Pipeline With Paperless-ngx and Claude

A step-by-step tutorial for automating tax document sorting with Paperless-ngx, Paperless-AI, and Claude via MCP. Annual AI cost: under $25.

Implicator.ai

🧰 AI Toolbox

How to Send Encrypted Email with Built-In AI Writing Tools Using Atomic Mail

Atomic Mail is a privacy-first email service with end-to-end encryption and an AI assistant built into the compose window. Messages are decrypted locally on your device, and the company stores no keys on its servers. You can send encrypted messages to anyone, even non-Atomic Mail users, via password-protected links. The AI tools handle drafting, grammar, translation, and summarization without routing your text through third-party services. Free tier includes 10 email aliases. Based in Estonia, GDPR-compliant.

Tutorial:

1. Go to atomicmail.io and create a free account
2. Set up your recovery seed phrase during onboarding, this is the only way to recover your account since Atomic Mail holds no keys
3. Compose an email and use the built-in AI assistant to draft, rephrase, or translate your message
4. Toggle encryption on for sensitive messages, recipients without Atomic Mail get a password-protected link
5. Create up to 10 email aliases to keep your real address private when signing up for services
6. Enable biometric login and two-factor authentication in settings for additional security
7. Download the app on iOS, Android, Windows, or macOS to sync encrypted mail across all your devices

URL: https://atomicmail.io

What To Watch Next (24-72 hours)

• Meta social media trial: Jurors begin deliberating today whether Meta and YouTube are liable for harm to children. A guilty verdict would set precedent for platform accountability nationwide.
• Apple China commission: The 25% App Store rate takes effect Saturday, March 15. Watch for EU and U.S. developer groups citing the cut to demand equivalent reductions in their markets.
• Anthropic v. Pentagon hearing: The next procedural date lands mid-next week. Any interim injunction blocking the supply chain risk label would signal how courts view Section 3252 applied to a domestic company.

🛠️ 5-Minute Skill: Turn a Long Email Thread Into a Status Update for Leadership

Your director wants a 4-sentence update on a deal that's been ping-ponging across 34 emails for a week. You have 20 minutes.

Your raw input:

Meridian SOW thread — 34 messages, 6 days
Resolved: payment terms (net-45), indemnification (capped 1x value)
Open: termination notice — they want 30 days, our legal floor is 45
Client legal reviewing 45-day compromise, response expected Wednesday
Quarter-end deadline March 31, business sponsor wants to sign this week

The prompt:

Compress this email thread into an executive status update.
Produce exactly: (1) Four sentences — deal name/value/status,
what's resolved, what's blocking and who, next step with date.
(2) One-sentence risk flag. (3) One sentence: does leadership
need to act or just stay informed?

Name the specific blocker, not "waiting on client."
No negotiation history. Current position and next move only.

[paste thread summary or full thread]

What you get back:

Status: The Meridian SOW ($380K) is 90% closed with one open item. Indemnification and payment terms are resolved. Meridian's legal is reviewing our 45-day termination clause compromise, response expected Wednesday. If accepted, we sign this week before the March 31 deadline.

Risk: A second counter on termination days forces VP-level escalation on their side, adding a week we may not have.

Decision needed: Stay informed. I'll flag you Wednesday if escalation is required.

Why this works

The prompt separates resolved from open items, which is the cut that makes updates useful. Asking for "a summary" gets you chronological noise. Specifying the 4-sentence structure forces signal.

What to use

Claude: Strongest at collapsing long threads to current state without losing risk signals.
ChatGPT: Hits the sentence constraint cleanly on the first try.

AI & Tech News

ByteDance Deploys 36,000 Nvidia Blackwell Chips in Malaysia to Sidestep China Export Ban
TikTok's parent company is working with cloud partner Aolani Cloud on a $2.5 billion Blackwell installation in Malaysia, routing around U.S. export restrictions that bar direct chip sales to China. The 500-system deployment gives ByteDance access to Nvidia's most advanced AI processors without touching Chinese soil.

Iran-Linked Hackers Weaponize Microsoft Intune to Wipe All Devices at Stryker
An Iranian-backed hacktivist group compromised Stryker's endpoint management platform and issued remote wipe commands across all connected devices. The attack turned a legitimate enterprise tool into the destruction vector, bypassing traditional malware entirely.

China Grants World's First Commercial Approval for Invasive Brain-Computer Interface
Chinese regulators approved a brain-computer interface system designed to restore hand movement, the first commercial license anywhere for an invasive BCI device. The decision positions China ahead of Neuralink in the race to bring BCI technology from labs to patients.

Nscale in Talks to Buy Major West Virginia Data Center Site Ahead of IPO
UK-based cloud provider Nscale, backed by Nvidia and serving OpenAI and Microsoft, is in advanced discussions to acquire a major data center site in West Virginia. Amazon and Meta are also eyeing the same location.

Apple Cuts App Store Commission in China From 30% to 25%
Apple is reducing its mainland China commission rate to 25% effective March 15, following discussions with Chinese regulators. First time Apple has set a country-specific rate for the App Store.

AI Coding Tools Shift Developers From Builders to Architects, NYT Reports
A New York Times report found that developers using Claude and ChatGPT describe a fundamental identity shift, feeling more like system architects than line-by-line coders. Some argue AI-assisted programming could expand the total number of software jobs.

Binance Internal Probe Uncovers $1 Billion in Crypto Flows to Iran-Linked Entities
Internal investigators found that accounts on Binance moved roughly $1 billion to Iran-linked groups, including VIP Chinese traders and a suspected gold smuggler. The findings raise questions about compliance controls at the world's largest crypto exchange.

Telus Digital Confirms Breach After ShinyHunters Claims 1 Petabyte of Stolen Data
Canadian outsourcing giant Telus Digital confirmed a security incident following claims by hacking group ShinyHunters of a prolonged, multimonth intrusion that allegedly yielded one petabyte of data. The full extent of the breach remains unclear.

STMicro Plans to Deploy Humanoid Robots in Aging Chip Factories
European chipmaker STMicroelectronics announced a plan to introduce humanoid robots and retrain workers in older semiconductor plants, assigning repetitive tasks to machines to keep aging facilities open. The approach could become a template for legacy fabs globally.

Palantir CEO Karp Says AI Will Hurt Democratic-Leaning Workers Most
Alex Karp argued in a new interview that AI will disproportionately displace humanities-trained, largely Democratic-leaning professionals while strengthening the position of working-class workers. The framing positions AI disruption as political realignment.

🚀 AI Profiles: The Companies Defining Tomorrow

Sunday Inc. built a wheeled robot called Memo that is supposed to wash your dishes, fold your laundry, and clear dinner plates. Decades of failed attempts by other companies have trained consumers to treat that sentence with suspicion. Sunday thinks it found a workaround. 🤖

Founders
Tony Zhao (CEO) and Cheng Chi co-founded Sunday in 2024. Both come from robotics research backgrounds. Zhao runs the business side. Chi drives the manipulation AI. The team has grown to about 50 people in San Francisco.

Product
Memo is a mobile robot on wheels with a height-adjustable body that lets it reach countertops and floor-level surfaces. The company skips simulation entirely for training. Human workers perform household tasks while wearing a custom glove that replicates the robot's grip geometry. Those sessions capture real-world movement data that feeds an onboard AI model. No synthetic environments, no sim-to-real transfer problems. A thousand beta testers are lined up to put Memo in their homes before year's end, starting with dishes and laundry.

Competition
Home robotics is a graveyard. iRobot proved vacuuming works at scale but never cracked manipulation. Amazon killed Astro. Figure and 1X target industrial settings, not kitchens. Sunday's bet is that real human demonstration data, collected at volume, solves the training problem that sank every predecessor. The risk is that kitchens are chaotic environments with infinite edge cases that no training set fully covers.

Financing 💰
$165 million Series B at a $1.15 billion valuation. Coatue led. Tiger Global, Bain Capital Ventures, Benchmark, and Conviction Partners joined.

Future ⭐⭐⭐
The funding is real. The valuation is ambitious for a company with no shipping product. Sunday's data collection method is the most interesting thing about it, paying humans to do chores so robots can copy the motions is brute-force elegant. Whether that translates to a machine that reliably handles a wine glass remains an open question. Fifty employees, one billion-dollar promise, zero units in homes. The beta program by December is the only metric that matters. 🍽️

🔥 Yeah, But...

Tinder unveiled an AI matchmaker called "Chemistry," video speed dating, and an events tab for in-person meetups at its SPARKS 2026 keynote in Los Angeles. The announcement came weeks after parent company Match Group reported an 8% year-over-year drop in paying subscribers for Q4 2025. CEO Spencer Rascoff said the company "can't put our heads in the sand and stay wedded to past practice."

Source: The Implicator, March 12, 2026

Our take: Eight percent of paying users left a dating app, and the company's response is an AI that decides who you should date. The product designed to remove friction from meeting people is now adding a middleman between you and the other middleman.

They also launched real-life events, which is the dating app admitting that its core product, not meeting people in real life, might be the problem. Rascoff says they can't stay wedded to past practice.

Neither, apparently, can Tinder's subscribers.