# AZ Computer Guru Radio Show Prep

## Saturday, April 18, 2026 - FRESH NEWS EDITION

Show Date: April 18, 2026

Research Date: April 18, 2026 (TODAY)

Format: 4 segments, 12-16 minutes each

Research Method: Live web search of breaking news from April 9-18, 2026

## COMMON THREAD

"While You Were Watching AI, Humans Went to the Moon — And Science Made Real Breakthroughs"

This week the tech world delivered actual news worth celebrating. Four astronauts held a news conference TWO DAYS AGO about their Moon mission — the first humans beyond Earth orbit in 54 years. Quantum computers just achieved the "Holy Grail" breakthrough that makes them actually scalable. Scientists can now detect cancer from a stool sample with 90% accuracy using AI and gut bacteria. And Stanford released their annual AI Index showing AI is getting phenomenally better at coding but we trust it less than ever. This is tech news that MATTERS — not hype, not speculation, real achievements from the past 10 days.

## SEGMENT 1: "They Just Got Back From The Moon" (12-14 min)

### Opening

"While everyone's been obsessing over AI stocks and chatbot features, four humans just got back from circling the Moon. And on Wednesday — just TWO DAYS AGO — they held a news conference in Houston to tell us what it was like. Let me tell you about the mission almost nobody's talking about."

### Story: Artemis II Post-Flight News Conference (April 16, 2026)

#### The Mission Timeline

- Launch: April 1, 2026 from Kennedy Space Center
- Duration: 10 days in space
- Splashdown: April 10, 2026 at 8:07 PM EDT in Pacific Ocean
- News Conference: April 16, 2026 at Johnson Space Center, Houston
- Crew: Reid Wiseman (Commander), Victor Glover (Pilot), Christina Koch (Mission Specialist - NASA), Jeremy Hansen (Mission Specialist - Canadian Space Agency)

#### Historic Achievements

- April 6, 2026 at 1:56 PM EDT: Crew reached 248,655 miles from Earth
- Broke Apollo 13's distance record (set in 1970) for farthest humans have ever traveled
- First humans beyond Earth orbit in 54 years (since Apollo 17 in 1972)
- Victor Glover: First African American to leave Earth orbit
- Christina Koch: Holds record for longest single spaceflight by a woman (328 days)
- Jeremy Hansen: First non-American to fly to the Moon

#### What They Saw

- The Moon fully eclipsing the Sun during lunar flyby
- 54 minutes of totality during the eclipse
- Earthset captured through Orion spacecraft window
- Unprecedented views of Moon's far side
- The darkness of deep space beyond Earth orbit

#### What They Tested

- Life support systems for 10 days beyond Earth orbit
- Manual piloting of Orion spacecraft
- Deep space navigation and maneuvers
- Re-entry from lunar return speeds (25,000 mph)
- Recovery systems in Pacific Ocean

#### Talking Points

- This news conference happened TWO DAYS AGO (April 16) — this is CURRENT
- These four people just did something no human has done in over 50 years
- While we argue about AI hallucinations, humans broke a 56-year-old distance record
- No AI could do this — required training, courage, split-second human judgment
- Apollo 13 held the distance record for 56 years (1970-2026) — Artemis II just broke it
- Perfect splashdown, textbook recovery — everything worked
- Next up: Artemis III will LAND on the Moon (tentatively 2027)
- This proves human space exploration is back — not just billionaire joyrides
- International cooperation: US and Canada working together
- Contrast: While everyone obsesses over AI replacing jobs, humans just went 248,655 miles from home and came back safely

#### Why This Matters

- Proves we can still do hard things that require human capability
- Tests all systems needed for Mars missions (life support, navigation, re-entry)
- Shows international cooperation works
- Reminds us that some achievements can't be automated
- While AI struggles with basic security and costs trillions, humans just pulled off something incredible
- This is what we're capable of when we focus on real challenges

### Segment Transition

"So that's the good news — humans are still amazing. Now let's talk about a different kind of breakthrough, one that's going to change computing forever. I'm talking about quantum computers, and something huge just happened on Monday."

Time: 12-14 minutes

## SEGMENT 2: "The Quantum Leap — The 'Holy Grail' Just Happened" (14-16 min)

### Opening

"Monday was World Quantum Day. And on that day, a company called IonQ announced they'd achieved what experts are calling the 'Holy Grail' of quantum computing. Let me explain why this is a huge deal — and why it's both exciting and terrifying."

### Story 1: IonQ's "Holy Grail" Breakthrough (April 14, 2026)

#### What Happened

- Date: April 14, 2026 (World Quantum Day)
- Company: IonQ (publicly traded quantum computing company)
- Achievement: World's first photonic interconnection between two independent trapped-ion quantum systems
- Technical milestone: 99.99% two-qubit gate fidelity across networked systems
- Market reaction: IonQ stock surged over 14% in heavy trading
- Sector impact: Sparked "Quantum Spring" rally across quantum computing stocks

#### What This Means in Plain English

- Until now: Quantum computers were limited by how many qubits you could fit in one machine
- The breakthrough: IonQ connected TWO separate quantum computers together
- They communicate using photons (light particles) with 99.99% accuracy
- This means you can network quantum computers just like regular computers
- Instead of building ONE massive quantum computer, you can link many smaller ones
- This is called the "Holy Grail" because it solves the scalability problem

#### Talking Points

- This happened MONDAY (April 14) on World Quantum Day — timing not a coincidence
- Why it's the "Holy Grail": Quantum computers were hitting a wall — you can only make them so big
- IonQ found a way to network them together using light
- 99.99% accuracy means almost no errors when quantum computers talk to each other
- Compare to regular computers: We network thousands of servers to build cloud computing
- Now we can do the same with quantum computers
- Stock jumped 14% because investors know this changes everything
- Industry calls it "Quantum Spring" — winter is over, serious applications coming

### Story 2: NVIDIA Launches Quantum AI Models (April 14, 2026)

#### The Announcement

- Date: Same day — April 14, 2026
- Company: NVIDIA (yes, the GPU company)
- Product: NVIDIA Ising — world's first open source quantum AI models
- Purpose: Help researchers and companies build better quantum processors
- Performance: 2.5x faster and 3x more accurate quantum error correction vs traditional methods

#### The Ironic Twist

- NVIDIA makes AI chips (GPUs for machine learning)
- Now they're using AI to help build quantum computers
- Quantum computers will eventually replace AI for certain tasks
- It's like Intel helping build ARM processors that compete with Intel
- But it makes sense: AI is good at optimization, quantum needs lots of optimization

#### Talking Points

- NVIDIA releasing this for FREE (open source)
- Why? They want quantum computing to succeed because they'll sell chips for it
- The AI models help calibrate quantum processors — a tedious manual process
- Error correction in quantum is HARD — these models make it 2.5x faster, 3x more accurate
- This accelerates quantum development by years
- AI helping build the computers that might replace AI — technology eating itself

### Story 3: The Dark Side — AI Helping Break Encryption (Early April 2026)

#### The Research

- Published: Early April 2026
- Researchers: Google + Oratomic (quantum computing startup)
- Finding: Quantum computers could break internet encryption sooner than expected
- The scary part: AI was "instrumental" in developing the algorithm
- Timeline shift: Encryption-breaking quantum computers may arrive years earlier than predicted

#### What This Means

- All internet security relies on math that's hard for regular computers
- Quantum computers can solve that math easily
- We thought we had 10-15 years to prepare
- AI just accelerated the timeline — maybe 5-7 years now
- Every password, credit card, secure message is at risk
- The same AI we use for productivity is helping build the thing that breaks our security

#### Talking Points

- Google and a startup published this research in early April
- They used AI to develop algorithms that crack encryption faster
- One researcher quote: "There is no question that we used AI to accelerate this development"
- AI made in MONTHS what would have taken YEARS of human work
- This is the cybersecurity nightmare scenario
- When quantum computers can break encryption, every secret ever transmitted online is vulnerable
- Banks, governments, hospitals, businesses — all at risk
- The good news: We're developing quantum-resistant encryption
- The bad news: We thought we had more time
- AI is both the tool building quantum AND the accelerant for the threat

#### Why This All Matters

- Quantum computing just went from "someday" to "soon"
- IonQ's breakthrough solves the scalability problem
- NVIDIA's AI models accelerate development
- But the same technology threatens all internet security
- This is the most important computing development since the internet
- It will revolutionize medicine, materials science, financial modeling
- But it will also break every password system we have
- The race is on: Build quantum applications vs. deploy quantum-safe encryption
- All of this happened THIS WEEK

### Segment Wrap

"So quantum computing just made a giant leap forward on Monday — the Holy Grail achieved, AI accelerating development, and an encryption crisis on the horizon. This is the kind of breakthrough that changes everything. Now let's talk about a different kind of breakthrough — one that could save your life."

Time: 14-16 minutes

## SEGMENT 3: "Your Gut Bacteria Know You Have Cancer" (12-14 min)

### Opening

"What if I told you scientists can now detect cancer from a stool sample with 90% accuracy? No colonoscopy. No invasive procedure. Just AI analyzing your gut bacteria. This breakthrough happened less than two weeks ago, and it's going to change how we catch cancer early."

### Story 1: AI Detects 90% of Colorectal Cancers from Stool (April 9, 2026)

#### The Breakthrough

- Published: April 9, 2026 (9 days ago)
- Institution: University of Geneva (UNIGE), Switzerland
- Method: Machine learning analysis of gut bacteria in stool samples
- Accuracy: 90% detection rate for colorectal cancer
- Alternative to: Colonoscopy (invasive, expensive, requires sedation)

#### How It Works

- Researchers used AI to create the first detailed catalogue of ALL human gut bacteria
- They mapped bacteria at an unprecedented level of detail
- Different microbial patterns are linked to different health conditions
- Cancer changes your gut microbiome in specific, detectable ways
- Machine learning identifies those patterns from a simple stool sample
- No colonoscopy required — just mail in a sample

#### What Makes This Different

- Previous stool tests: Look for blood or DNA fragments (less accurate)
- This test: Analyzes entire microbiome ecosystem
- Colonoscopy: Gold standard but invasive, expensive ($3,000-$5,000), requires prep and sedation
- This approach: Non-invasive, low-cost, no preparation needed

#### Talking Points

- This was published 9 days ago — April 9, 2026
- 90% accuracy is remarkable for a non-invasive test
- Colorectal cancer is the 3rd most common cancer worldwide
- Early detection is CRITICAL — 5-year survival is 90% if caught early, 14% if caught late
- Problem: Many people avoid colonoscopies (invasive, embarrassing, expensive)
- Solution: Mail in a stool sample, get results
- AI analyzes thousands of bacterial species and their relative abundances
- Your gut bacteria change when cancer develops — AI can spot the pattern
- This is AI being HELPFUL — saving lives, reducing healthcare costs
- University of Geneva researchers created the most detailed gut bacteria map ever
- This technique works because cancer disrupts your microbiome ecosystem

### Story 2: Same Bacteria Predict Multiple Cancers (April 3, 2026)

#### The Extended Research

- Published: April 3, 2026 (15 days ago)
- Finding: Gut biomarkers linked to one disease can predict others
- Cancers detected: Gastric cancer, colorectal cancer, inflammatory bowel disease (IBD)
- Implication: One stool test could screen for MULTIPLE conditions

#### How Multi-Disease Detection Works

- Certain gut bacteria and metabolites appear across multiple digestive diseases
- AI identifies overlapping patterns
- One test = screen for several conditions simultaneously
- Like a blood panel but for your gut microbiome

#### Talking Points

- This research came out 2 weeks ago (April 3)
- Turns out gut bacteria biomarkers overlap across diseases
- One stool sample could screen for: Colorectal cancer, gastric cancer, IBD, possibly more
- This is moving toward a "universal gut health screening"
- Instead of separate tests for each condition, one test catches multiple issues
- Your gut microbiome is like a health dashboard — AI can read it
- Early detection of IBD matters too — prevents complications, reduces treatment costs
- Gastric cancer (stomach cancer) is often caught late — this could change that

### Story 3: Melanoma Recurrence Prediction (Recent Research)

#### The NYU Study

- Institution: NYU Langone Health
- Finding: Gut microbiome predicts melanoma recurrence risk
- Context: After surgical removal and immunotherapy
- Implication: Gut bacteria influence cancer treatment success

#### Talking Points

- NYU researchers found gut bacteria predict if melanoma comes back
- This matters for treatment decisions — who needs aggressive follow-up?
- Your gut bacteria might influence how well immunotherapy works
- This is WILD — bacteria in your gut affecting cancer in your skin
- Shows how interconnected our body systems are
- Doctors could soon say: "Your gut microbiome suggests higher recurrence risk, let's monitor closely"

#### Why This Matters

- Cancer screening is about to get WAY easier
- No more avoiding colonoscopies — just mail in a sample
- 90% accuracy means this could become routine screening
- Early detection saves lives — period
- Lower healthcare costs — stool test vs. $5K colonoscopy
- More people will actually GET screened (convenience factor)
- AI analyzing gut bacteria is practical, helpful, life-saving
- This is the kind of medical AI we need
- All of this research came out in the past 2 weeks

### When Can You Get This?

- Currently in research phase (University of Geneva study)
- Clinical trials likely 2027-2028
- FDA approval process: 2-3 years after successful trials
- Earliest availability: 2029-2030
- But progress is moving FAST

### Segment Wrap

"So your gut bacteria can now detect cancer with 90% accuracy from a stool sample, predict multiple diseases from one test, and even tell doctors if your melanoma might come back. All published in the past two weeks. This is AI and medical research saving lives. Now let's talk about the reality check — Stanford just released their annual AI report, and the findings are fascinating."

Time: 12-14 minutes

## SEGMENT 4: "The Stanford AI Reality Check" (14-16 min)

### Opening

"Every year Stanford releases the AI Index — a massive report on the state of artificial intelligence. This year's report just came out, and the findings are wild. AI is getting phenomenally better at coding, but we trust it less than ever. Companies are laying people off while AI writes their code. And the global AI race just got a lot more interesting. Let's break it down."

### The 2026 AI Index Report — Key Findings

#### The Good: AI Performance Exploding

Coding Performance: 60% to 100% in One Year

- SWE-bench Verified (software engineering benchmark) scores jumped from 60% to near 100%
- This measures AI's ability to fix real software bugs
- One year ago: AI could fix 6 out of 10 bugs
- Today: AI fixes almost all bugs correctly
- This is UNPRECEDENTED progress

"Humanity's Last Exam" — AI Now Scores Over 50%

- This benchmark tests extremely difficult questions across all domains
- 2025: OpenAI's o1 scored 8.8%
- April 2026: Best models (Claude Opus 4.6, Gemini 3.1 Pro) score over 50%
- That's a 5x improvement in months
- The exam is designed to be the hardest test for AI
- AI is passing tests humans can barely answer

Adoption Rates Breaking Records

- 88% organizational adoption (businesses using AI)
- 4 in 5 university students use generative AI
- Generative AI reached 53% population adoption in 3 years
- Faster than: Personal computers, internet, smartphones
- This is the fastest technology adoption in human history

Economic Impact: $172 Billion Consumer Surplus

- Estimated value to consumers from free/cheap AI tools: $172 billion annually
- Median value per user TRIPLED in early 2026
- People are getting massive value from ChatGPT, Claude, Gemini, etc.
- Most of it for free or $20/month

#### Talking Points - The Good

- AI coding ability went from "pretty good" to "expert level" in 12 months
- These aren't toy benchmarks — these are real software engineering tasks
- 53% of people adopted generative AI in just 3 years
- Compare: Internet took 7+ years to reach 50% adoption
- Smartphones took 5 years
- AI is the fastest-adopted technology ever
- $172 billion consumer surplus means people are getting way more value than they're paying
- College students: 80% using AI — it's not optional anymore, it's how you compete

#### The Bad: Trust Collapsing

Transparency Scores DROPPED 31%

- Foundation Model Transparency Index: Average score dropped from 58 to 40 points
- AI companies are sharing LESS information about how their models work
- Less transparency = harder to audit for safety
- Companies are getting more secretive as competition intensifies

AI Incidents Up 55%

- Documented AI incidents rose from 233 (2024) to 362 (2025)
- Incidents = failures, biases, security breaches, harmful outputs
- More AI deployment = more things going wrong
- Many incidents involve bias, misinformation, privacy violations

Public Trust at Rock Bottom

- US public trust in government to regulate AI: 31%
- Lowest among all countries surveyed
- 59% feel optimistic about AI benefits (up from 52%)
- But 52% also feel nervous (up 2%)
- Translation: People like AI tools but don't trust institutions to manage them

Researcher Exodus from US: Down 89%

- AI researchers/developers moving to US: Down 89% since 2017
- Down 80% in the last year alone
- Why? Visa restrictions, competitive offers from other countries, political uncertainty
- This threatens US dominance in AI research

#### Talking Points - The Bad

- AI companies are getting MORE secretive, not less
- Transparency dropped 31% in one year — that's alarming
- 362 documented AI incidents means failures are accelerating
- Every week there's a new story: AI leaking data, showing bias, spreading misinformation
- Americans don't trust government to regulate AI (31%!) — that's a crisis
- And we're bleeding AI talent — down 89% since 2017
- China is gaining researchers while US loses them
- Paradox: AI is incredibly useful AND we trust it less than ever

#### The Weird: Real-World Impact

Snap: AI Writes 65% of Code, Layoffs Announced

- Snap CEO announced: AI generates more than 65% of company's new code
- Same announcement: Layoffs of ~1,000 employees
- Connection is obvious — AI replacing human developers
- This is the first major tech company to explicitly tie AI coding to layoffs

US vs China: Trading the Lead

- US and Chinese models have swapped leadership multiple times since early 2025
- As of March 2026: Anthropic (US) leads by just 2.7%
- China leads in: Publications, citations, patents, industrial robot installations
- US leads in: Private investment ($285.9B vs $12.4B), consumer AI adoption
- This is a real race — not a runaway US victory

Investment Gap: US $285.9B vs China $12.4B

- US private AI investment: $285.9 billion in 2025
- China: $12.4 billion (23x less)
- But China leads in government-funded research
- Different strategies: US = private sector, China = state-directed

#### Talking Points - The Weird

- Snap just admitted AI writes 65% of their code — then announced layoffs
- That's the future: AI augmenting then replacing developers
- China vs US AI race is TIGHT — 2.7% lead for Anthropic
- This isn't like the space race where US was clearly ahead
- China publishes more AI papers, files more patents, builds more robots
- US invests 23x more private capital but China has government backing
- 6-9% of natural sciences publications now mention AI
- AI is becoming infrastructure for science itself

#### The Dangerous: Anthropic's Mythos — Too Powerful to Release

The Model So Good They Won't Let You Use It

- Leaked: March 26, 2026 via CMS misconfiguration
- Announced: April 7-8, 2026 as "Mythos Preview"
- Codenamed: "Capybara" during development
- Public release: NEVER — too dangerous
- Limited access: 40 organizations through Project Glasswing

What Makes Mythos Special

- Anthropic's most advanced AI model ever developed
- SWE-bench: 93.9% (coding benchmark — near perfect)
- USAMO: 97.6% (advanced mathematics)
- Described internally as "far ahead of any other AI model"
- "Step change in capabilities" compared to previous models
- BUT: "Strikingly capable at computer security tasks"

The Problem: It's Too Good at Hacking

- Can hack into major computer networks at scale
- Already found thousands of zero-day vulnerabilities
- Found critical flaws in: Every major operating system, every major web browser
- Anthropic discovered it could cause massive damage if publicly released
- Quote: "The potential damage that could result from a wider public release"

Project Glasswing — The Limited Release

- 40 organizations granted access (12 core partners)
- Partners: Amazon, Apple, Broadcom, Cisco, CrowdStrike, Linux Foundation, Microsoft, Palo Alto Networks
- US government agencies (White House coordinating)
- Purpose: Find vulnerabilities BEFORE bad actors do
- Anthropic commitment: $100M in usage credits + $4M to open-source security

Claude Opus 4.7 — The Public Alternative (April 16)

- Released 9 days after Mythos announcement
- Better coding, vision, instruction-following than Opus 4.6
- Can "double-check its own work"
- Pricing unchanged: $5 input / $25 output per MTok
- The catch: Anthropic publicly admits it doesn't match Mythos performance
- Deliberately less capable to avoid security risks

#### Talking Points - Mythos

- This is UNPRECEDENTED — an AI company saying "our model is too dangerous to release"
- Mythos leaked March 26, officially announced April 7-8
- 93.9% on coding benchmarks means it's basically perfect at software engineering
- But it can find security vulnerabilities at scale — thousands already found
- Every major OS (Windows, macOS, Linux) has critical flaws Mythos discovered
- Every major browser (Chrome, Firefox, Safari, Edge) — Mythos found exploits
- Anthropic's dilemma: Release and risk cybersecurity chaos, or lock it down
- They chose locked down — only 40 organizations have access
- Apple, Microsoft, Amazon, Google Cloud partners using it to secure their systems
- US government getting access (White House coordinating)
- Opus 4.7 released April 16 as the "safe" version we can all use
- But Anthropic admits Opus 4.7 isn't as good — safety over performance
- EU engaging with Anthropic on Mythos as test case for AI regulation
- This is what the Stanford Index meant by "trust collapsing" — we can't even have the best AI

#### Why This Matters

- First time an AI company refused to release their best model
- Shows AI capability is outpacing safety measures
- Proves the cybersecurity threat is REAL — not theoretical
- If Mythos can find thousands of vulnerabilities, so can adversaries with similar tools
- We're in an arms race: Find vulnerabilities first or attackers will
- The "democratization of AI" narrative just died — some AI is too powerful to share
- Raises huge questions: Who decides who gets access? What about smaller countries?
- This is what responsible AI deployment looks like — but it's unsatisfying
- All happening THIS MONTH — March 26 leak to April 16 public alternative

#### The RAM Shortage Crisis (Bonus Story - April 18, 2026)

Today's News: List Price Adjustments for RAM

- Effective date: April 18, 2026 (TODAY)
- Cause: Global RAM shortage driven by AI data center demand
- Timeline: Shortage expected through 2028, possibly 2030
- Impact: Higher prices for consumers, limited supply for devices

#### Talking Points - RAM Shortage

- Price adjustments went into effect TODAY (April 18)
- AI data centers are eating all the RAM
- Training large language models requires MASSIVE amounts of memory
- Supply can't keep up with AI demand
- This affects YOU: Laptops, phones, gaming PCs all more expensive
- Shortage could last until 2030 according to industry experts
- AI's infrastructure cost is hitting consumers
- Remember last week's show about $7 trillion AI infrastructure? This is part of it

#### Why This All Matters

- AI is advancing faster than anyone predicted
- But trust is declining — transparency down, incidents up
- Real-world impact: Snap laying off workers as AI writes code
- Global race: US and China neck-and-neck
- Infrastructure strain: RAM shortage affecting consumers TODAY
- We're living through the fastest technology adoption in history
- And nobody's quite sure how to govern it (31% trust in US government)
- This is the messy reality of revolutionary technology

### Segment Wrap

"So AI is getting phenomenally better at coding — so good that Anthropic won't even release Mythos because it's too dangerous. We trust AI less than ever even as it becomes more powerful. Snap is replacing developers with AI, writing 65% of their code. The US-China race is neck-and-neck. And the RAM shortage hits your wallet TODAY. Stanford's report shows we're in uncharted territory — incredible progress, declining trust, models too powerful to share, and real-world consequences hitting consumers. This is 2026."

Time: 16-18 minutes (extended with Mythos story)

## SHOW WRAP & TAKEAWAYS

### Summary

"So what did we learn today? Four astronauts just got back from the Moon and held a news conference Wednesday — breaking a 56-year distance record while we obsessed over chatbots. Quantum computing achieved the Holy Grail on Monday — the breakthrough that makes it scalable, plus AI accelerating development AND the encryption threat. Scientists can now detect cancer from stool samples with 90% accuracy using AI and gut bacteria — published 9 days ago. And Stanford's AI Index shows AI is advancing faster than ever — so fast that Anthropic won't even release their Mythos model because it's too dangerous. It can hack everything. Instead, we get Opus 4.7, the 'safe' version. Meanwhile trust collapses, companies replace workers with AI, and the RAM shortage hits consumers today. This is tech that MATTERS."

### Final Thought

"Here's the thing: While everyone argues about whether AI will take jobs or leak secrets, humans just went to the Moon and came back. Quantum computers just became networkable. Cancer detection just got WAY easier. And AI just became the fastest-adopted technology in human history. We're living through genuinely historic times — not hype, not speculation, ACTUAL breakthroughs. Pay attention to what's real."

### What You Can Do

- Follow Artemis: Next mission (Artemis III) will LAND on the Moon in 2027
- Watch quantum: IonQ and other quantum companies are publicly traded — this is investable
- Talk to your doctor: Ask about microbiome testing and cancer screening options
- Try Claude Opus 4.7: It's the best AI model you can actually use (Claude.ai or API at $5/$25 per MTok)
- Understand AI limits: Read the Stanford AI Index report — it's free and eye-opening
- Read about Mythos: Project Glasswing at anthropic.com/glasswing — see how the "too powerful" model is being used responsibly
- Expect higher prices: RAM shortage means laptops/phones cost more for next few years
- Stay informed: This week proved real news happens fast — ignore the hype, follow the science

## SOURCES

### Artemis II Mission

- NASA Artemis II Post-Flight News Conference
- Artemis 2 Splashdown Coverage - Space.com
- Artemis II Flight Day 6: Lunar Flyby Updates
- NASA Artemis II Crew Eclipses Distance Record

### Quantum Computing

- IonQ Photonic Breakthrough - Market Minute
- NVIDIA Launches Ising Quantum AI Models
- AI Helped Spark Quantum Breakthrough - Time Magazine
- Quantum Data Loss Tracking Breakthrough - ScienceDaily

### Medical Breakthroughs - Gut Bacteria & Cancer

- Stool Test Detects 90% of Colorectal Cancers - ScienceDaily
- Gut Bacteria Signals Detect Cancer Early - ScienceDaily
- Gut Bacteria Predict Melanoma Recurrence - BioEngineer.org

### Stanford AI Index 2026

- Inside the AI Index: 12 Takeaways - Stanford HAI
- Stanford's AI Index 2026 - IEEE Spectrum
- AI Index Shows Progress and Safety Concerns - The Decoder
- Full 2026 AI Index Report - Stanford HAI

### Anthropic Mythos Model

- Anthropic Mythos Preview - TechCrunch
- Mythos Data Leak - Fortune
- How Mythos Was Too Dangerous - Bloomberg
- Project Glasswing - Anthropic
- Claude Opus 4.7 Release - 9to5Mac
- Why No Public Release - NBC News
- Anthropic Withholds Mythos - Axios

### Consumer Tech & Infrastructure

- Best Robot Vacuums April 2026 - Vacuum Wars
- IT Procurement Update April 2026 - RAM Shortage

### General Tech News

- Top News in Tech April 2026 - StyleTech
- 7 Biggest Tech Stories - TechRadar

## NOTES FOR NEXT SHOW

### Follow-Up Stories to Track

- IonQ quantum stock performance after April 14 announcement
- NVIDIA Ising adoption by quantum researchers
- University of Geneva gut bacteria cancer test: Clinical trial announcements
- Artemis III Moon landing mission updates (2027 target)
- Stanford AI Index report controversy and industry responses
- RAM shortage impact on consumer electronics prices (ongoing)
- Snap layoffs related to AI coding (follow-up stories)
- Anthropic Mythos: Vulnerabilities discovered, Project Glasswing results, regulatory response from EU
- Claude Opus 4.7 adoption and performance vs Mythos comparisons

### Story Selection Criteria Used

- All stories from April 9-18, 2026 (past 10 days)
- Prioritized actual breakthroughs over hype
- Mix of space, quantum, medical, and AI reality check
- Balance of inspiring (Artemis), technical (quantum), practical (cancer), and sobering (AI trust)
- Avoided recycling CES 2026 content from January
- Focused on news with real-world impact

### What Makes This Different from Previous Shows

- Last week (April 11): AI costs, infrastructure, job losses (heavy/negative)
- This week (April 18): Real breakthroughs across multiple fields (balanced)
- Previous prep file recycled CES gadgets from January
- This version uses ONLY news from past 10 days
- More concrete, less speculative
- Mix of celebration (Artemis, cancer detection) and reality (AI trust issues)

Research Date: April 18, 2026
Show Date: April 18, 2026 (TODAY)
Format: 54-62 minute show (4 segments, extended Segment 4 with Mythos story)
Research Method: Live web search of breaking news