# AZ Computer Guru Radio Show Prep
## Saturday, April 25, 2026

**Show Date:** April 25, 2026
**Research Date:** April 25, 2026
**Format:** 4 segments, 12-16 minutes each
**Theme:** The AI Arms Race: GPT-5.5 Dropped This Week — What It Actually Does

---

## COMMON THREAD
**"Three AI Heavyweights in One Week — And What Normal People Actually Get Out of It"**

Three of the biggest names in AI dropped major new models this week. OpenAI launched GPT-5.5 (nicknamed "Spud") on Thursday April 23. DeepSeek — the Chinese startup that shocked Silicon Valley a year ago — unveiled V4-Pro and V4-Flash on Friday April 24. And Anthropic released Claude Opus 4.7 on April 16, just ahead of the pack. Meanwhile, Amazon announced it's putting $33 billion total into Anthropic — the biggest AI investment commitment in history.

The press is breathless. The tech forums are arguing about benchmarks. But most people in Tucson just want to know: does any of this actually help me? Today's show answers that question. We're going to skip the jargon and explain what these models can actually *do* — not for PhD researchers, but for regular people: the homeowner, the small business owner, the retiree who just wants to know if this stuff is worth paying for.

The punchline up front: yes, something genuinely changed this week. These new AI models don't just answer questions. They *plan*, *use tools*, and *finish multi-step tasks without you holding their hand*. That's a real shift — and Fortune magazine put it best: AI model launches are starting to look like software updates. Which means this technology is maturing faster than the internet did in the 1990s. That's either exciting or terrifying, depending on your seat. Today we'll help you pick yours.

---

## SEGMENT 1: "The New AI Does Your Errands — Not Just Your Homework" (14-16 min)

### Opening
"So I want to start today by asking: how many of you have tried ChatGPT or one of these AI tools, typed in a question, and thought — okay, that's impressive, but it didn't actually *do* anything for me? It told me things. It wrote stuff. But it didn't go figure it out. That's changing. This week. And that is a genuinely big deal."

---

### Story 1: What "Agentic AI" Means — And Why It Matters to You

**Key facts:**
- "Agentic" comes from the word "agency" — the capacity to act independently toward a goal
- Previous AI: you ask, it answers. You ask again, it answers again. You do the work.
- Agentic AI: you give it a goal, it figures out the steps, takes the actions, and reports back
- Gartner predicts 40% of enterprise applications will include AI agents by end of 2026 — up from less than 5% in 2025
- BCG research shows workers using 4+ AI tools simultaneously see productivity *drop* — agentic AI solves this by being the single agent coordinating the tools

**Talking Points:**
- The old way: you ask ChatGPT how to plan a trip, it gives you a list, you spend two hours executing it
- The new way: you tell it "plan me a 4-day Tucson-to-Sedona road trip, book under $120/night, avoid highway driving after 3pm" — it searches, compares, drafts an itinerary, and hands you something actionable
- Example for small business owners: instead of typing in a customer complaint and asking "what should I say," the AI drafts a reply, checks your refund policy, and prepares a response for you to approve
- Example for retirees: tell it "I need a specialist who takes Medicare, within 15 miles of 85719, accepting new patients" — it searches, filters, and gives you a shortlist
- The difference is: it used to be a very smart search engine. Now it's closer to a very patient assistant who actually goes and does the thing
- Old AI: "here's a recipe." New AI: "here's a recipe, I've ordered the ingredients to your Instacart, and set a timer reminder for Thursday"
- You don't have to be a tech person to use this. You just have to be willing to describe what you want clearly

**Why This Matters:**
This is the leap that moves AI from "interesting toy" to "tool that saves you hours every week." The people who learn to describe what they want clearly — not in tech jargon, just plain English — are going to get a real advantage. Everyone else will keep doing things the hard way. The good news is: every single one of these new models released this week is built specifically around this agentic capability. This is the whole game right now.

---

### Story 2: GPT-5.5 "Spud" — OpenAI's Thursday Drop

**Key facts:**
- Released: Thursday, April 23, 2026 — two days ago
- Internal codename: "Spud" (yes, like a potato — OpenAI staff have a sense of humor)
- First fully retrained base model since GPT-4.5 — not just a tune-up, a ground-up rebuild
- Natively omnimodal: handles text, images, audio, and video in a single unified architecture (previous versions duct-taped these together)
- Terminal-Bench 2.0 score: 82.7% — the leading benchmark for real-world autonomous computer tasks
- OSWorld-Verified: 78.7% — tests whether the AI can actually operate software like a human would
- Long-context recall (MRCR v2): jumped from GPT-5.4's 36.6% to 74.0% — that's a 37-point improvement in ability to remember what you told it earlier in a long conversation
- Pricing: $5 per million input tokens, $30 per million output tokens via API (doubled from previous version)
- Available now: ChatGPT Plus, Pro, Business, Enterprise; API access rolling out April 24
- Fortune headline this week: "GPT-5.5 is here — and AI model launches are starting to look like software updates"

**Talking Points:**
- "Spud" because it's a step between GPT-5.4 and GPT-6 — a mid-cycle release, like a point upgrade on your iPhone
- What's actually new: it can browse the web, write and debug code, analyze data, fill spreadsheets, AND coordinate across multiple software tools — all in one uninterrupted session without you poking it along
- That 37-point jump in long-context recall means it actually remembers the beginning of the conversation when you're 30 exchanges deep — a real pain point that's finally fixed
- OSWorld-Verified 78.7% means: nearly 4 out of 5 times, it can operate software like a human (clicking, typing, navigating menus) — without being shown how
- The price doubled on the API side, but OpenAI says it uses fewer "tokens" (think: billable units) to do more work, so net cost to most users is flat or lower
- Fortune's framing is exactly right: this is starting to feel like a Windows update, not a moon landing. And that's actually a GOOD thing for consumers — regular improvements, less hype
- The name "Spud" is a reminder that even the most serious tech in the world is made by humans who name their internal projects after potatoes

**Why This Matters:**
GPT-5.5 is what you'll be using on ChatGPT for the next several months until GPT-6 arrives. If you're paying $20/month for ChatGPT Plus, this is your new version — and it's genuinely better at doing actual tasks, not just generating text. It's the first version where "autonomous computer use" is a real feature, not a lab demo.

---

## SEGMENT 2: "China Just Fired Back — And They're Charging 10 Cents on the Dollar" (12-14 min)

### Opening
"About a year ago, a Chinese AI startup called DeepSeek dropped a model that sent shockwaves through Silicon Valley. OpenAI stock dropped. NVIDIA shares tumbled. The whole tech industry had to confront the fact that maybe you don't need a hundred million dollars and a warehouse full of chips to build a world-class AI. This week, DeepSeek is back — with two new models, a million-token context window, and prices so low they almost seem like a mistake."

---

### Story 1: DeepSeek V4-Pro and V4-Flash — The China Response

**Key facts:**
- Released: Friday, April 24, 2026 — yesterday
- Two models: V4-Pro (the big one) and V4-Flash (the fast/cheap one)
- V4-Pro specs: 1.6 trillion total parameters, 49 billion active at any moment (uses a "mixture of experts" architecture — most of the model is sleeping, a smart subset handles each request)
- V4-Flash specs: 284 billion total parameters, 13 billion active
- Context window: 1 million tokens on BOTH models — that's roughly 750,000 words, enough to feed in an entire novel or a large codebase
- Benchmark performance: V4-Pro beats ALL rival open-source models on math and coding; trails only Google's Gemini 3.1-Pro among closed commercial models
- Training: used Huawei's Ascend AI processors — not NVIDIA chips, which are subject to US export restrictions
- V4-Flash pricing: $0.14 per million input tokens, $0.28 per million output tokens
- V4-Pro pricing: $1.74 per million input tokens, $3.48 per million output tokens
- Compare: GPT-5.5 charges $5/$30, Claude charges $5/$25 — DeepSeek Pro is roughly 8-10x cheaper

**Talking Points:**
- Let that sink in: DeepSeek charges $3.48 for a million output tokens. OpenAI charges $30. Anthropic charges $25. For similar quality.
- A million tokens is roughly 750,000 words. Most people never get close to that in a month of personal use.
- For small businesses using AI in their workflows — customer service, drafting contracts, writing descriptions — the cost difference is massive at scale
- The "mixture of experts" thing explained: imagine a hospital with 100 specialists. You don't see all 100 when you walk in — a smart receptionist routes you to the right 3 or 4. DeepSeek's model works the same way. Huge overall but efficient per request.
- The Huawei chip angle is geopolitically loaded: the US restricted export of NVIDIA's best chips to China — partly to slow AI development there. DeepSeek just proved the restriction isn't working. They built a frontier model on Chinese hardware.
- V4 trails GPT-5.5 by about 3-6 months of development, according to researchers. But at 10 cents on the dollar, "almost as good for way less" is a compelling pitch
- The 1 million token context window means you can hand it an entire legal contract, a full codebase, or a year's worth of customer emails and ask it to analyze the whole thing at once

**Why This Matters:**
DeepSeek is forcing down the price of intelligence. Every time they release a cheap, capable model, US companies have to respond. That's why GPT-5.5 pricing for end users has stayed competitive. Competition is working — the consumer wins. And the fact that China can build frontier AI on domestic chips despite US export restrictions is a geopolitical development that's going to drive policy decisions in Washington for years.

---

### Story 2: The China vs. US AI Race — Where It Actually Stands

**Key facts:**
- As of April 2026, US models still lead benchmarks but China is closing fast — gap estimated at 3-6 months
- Stanford AI Index 2026: US leads in private investment ($285.9 billion in 2025) vs China ($12.4 billion private)
- But China leads in: AI research publications, citations, patents, industrial robot installations
- Different strategies: US = private sector bets (Microsoft/OpenAI, Amazon/Anthropic, Google/DeepMind); China = state-directed investment with national mandate
- DeepSeek uses Huawei Ascend 950 chips — China's answer to NVIDIA's A100/H100 restricted exports
- Timeline of last 12 months: DeepSeek-R1 shocked the world January 2025; V4 is the follow-up, showing this wasn't a one-time miracle

**Talking Points:**
- This isn't the Cold War space race where one side had a clear lead. This is neck-and-neck and tightening.
- China's strategy: build models that match US quality at a fraction of the cost, make them open-source, let the world adopt them — soft power through AI
- DeepSeek isn't a government operation — it's technically a private startup. But it has implicit state support and doesn't face the same export restrictions as US companies in China
- What the Huawei chip achievement means: US assumed the chip export ban would slow China's AI by years. DeepSeek just cut that estimate to months.
- The good news for American consumers: competition keeps prices down and innovation up. The concern for policymakers: the competitive lead is narrower than anyone in Washington wants to admit.

**Why This Matters:**
When you hear politicians talk about AI export controls or chip restrictions, this is what they're trying to address. DeepSeek V4 is the real-world evidence of how those policies are playing out. And for regular people, the practical result is: world-class AI is getting cheaper, no matter where it's built.

---

## SEGMENT 3: "Amazon Just Bet $33 Billion That Anthropic Wins — Here's What That Means for You" (12-14 min)

### Opening
"Last Monday, Amazon made what is almost certainly the largest AI investment in history. Thirty-three billion dollars. To put that in perspective: that's more than the entire GDP of Iceland. And they're putting it all into one AI company — Anthropic, the maker of Claude. The announcement barely made the news because GPT-5.5 dropped Thursday and everyone shifted. But this deal will shape the AI you use for the next decade. Let's break it down."

---

### Story 1: The $33 Billion Deal — What Amazon Is Actually Buying

**Key facts:**
- Announcement date: Monday, April 20, 2026
- Total Amazon commitment: $33 billion ($8 billion previously invested + $5 billion immediate new + up to $20 billion more tied to milestones)
- Anthropic's current valuation: $380 billion — placing it among the most valuable AI companies on earth
- In exchange: Anthropic committed to spend more than $100 billion on Amazon Web Services infrastructure over the next decade
- Compute secured: up to 5 gigawatts of Amazon's Trainium AI chips — covering Trainium2 through the not-yet-released Trainium4 — plus Graviton processor cores
- Amazon target: bring nearly 1 gigawatt of Trainium2 and Trainium3 capacity online for Anthropic by end of 2026
- Customers already on AWS using Claude: over 100,000 businesses
- Available on all three major clouds: AWS Bedrock, Google Cloud Vertex AI, Microsoft Azure Foundry — the only frontier model on all three

**Talking Points:**
- Why Amazon? They want Claude baked into AWS — the cloud platform that runs a huge chunk of the internet. When businesses build AI features into their apps, Amazon wants them reaching for Claude.
- The $100 billion in cloud spending going back to Amazon is key: this isn't just investment, it's a strategic lock-in. Anthropic goes all-in on Amazon's infrastructure, Amazon goes all-in on funding Anthropic.
- Anthropic's candid statement: "unprecedented consumer growth has placed an inevitable strain on our infrastructure" — Claude has been slow and unreliable at peak times. This money fixes that.
- What it means for Claude users: faster responses, less downtime, more capacity during peak hours. The reliability problems that have frustrated paid subscribers are the direct motivation for this deal.
- Trainium chips are Amazon's answer to NVIDIA — designed specifically for AI training and inference. Amazon is betting it can build its own AI chip ecosystem rather than forever depending on NVIDIA.
- $380 billion valuation: a company founded just a few years ago is now worth more than Ford, General Motors, and Harley-Davidson combined.
- For context on the $33B: the entire Apollo moon program cost about $25 billion in today's dollars.

**Why This Matters:**
Amazon is essentially saying: AI is the next AWS. They built their whole cloud business on making computing cheap and accessible. Now they want to do the same with intelligence. If you're a small business owner on AWS, Claude is about to get much more tightly integrated into the tools you already use. And for regular consumers: more competition for your AI dollar keeps prices down and quality up.

---

### Story 2: The Anthropic Story — Why This Company Has Amazon's Attention

**Key facts:**
- Founded: 2021, by Dario Amodei and Daniela Amodei (former OpenAI executives) plus 9 other ex-OpenAI researchers
- Mission: "AI safety" — building the most capable models with the strongest guardrails
- Claude Opus 4.7 (released April 16): 87.6% on SWE-bench Verified coding benchmark; 64.3% on SWE-bench Pro
- Vision improvement: 3.26x higher resolution image understanding compared to previous version
- New feature: "xhigh" effort level — lets you dial between fast/cheap and slow/thorough with finer control
- Available: Claude.ai (free tier + $20/month Pro), API at $5/$25 per million tokens (same price as GPT-5.5 input, slightly cheaper output)
- Wins 12 of 14 reported head-to-head benchmarks against GPT-5.5

**Talking Points:**
- Anthropic's whole pitch: we're the "safety-first" AI company — we build the best models AND we don't ship the ones that scare us. (Reference last week: Mythos model, too dangerous to release publicly.)
- Claude Opus 4.7 now has a remarkable ability to "double-check its own work" — it generates an answer, then runs a verification pass before sending it back. Fewer hallucinations, more reliable outputs.
- 87.6% on coding benchmarks means: nearly 9 out of 10 real software bugs it attempts, it fixes correctly on the first try. That's Ph.D. level software engineering performance.
- The 3.26x vision improvement is practical: you can hand it a blurry photo of a receipt, a complex chart, a hand-drawn diagram — and it reads it reliably
- "xhigh" effort level: think of it as choosing between a quick search and a thorough research report. Previous models only had a few settings. More control is genuinely useful for professionals.
- The Amazon bet is partly about safety: Amazon wants an AI company that won't have a catastrophic public failure. Anthropic's methodical approach is a feature, not a limitation, from an enterprise perspective.

**Why This Matters:**
Claude is the AI you're most likely to encounter embedded in business software — customer service tools, legal assistants, coding helpers — precisely because it's trusted by enterprises to not go off the rails. The Amazon deal turbocharges that positioning. For consumers, Claude.ai is a legitimate alternative to ChatGPT at the same price point, and for certain tasks (careful analysis, long documents, instruction-following) it's currently the better tool.

---

### Story 3: The "Software Update" Moment — What Regular People Should Make of This

**Key facts:**
- Fortune headline this week, exact quote: "GPT-5.5 is here — and AI model launches are starting to look like software updates"
- Three frontier models in the same April week: Claude Opus 4.7 (April 16), GPT-5.5 (April 23), DeepSeek V4 (April 24)
- March 2026 had 30+ new AI model releases in one month
- Comparison: Internet took 7+ years to reach 50% population adoption; generative AI hit 53% in 3 years (Stanford AI Index 2026)
- BCG research: workers using 4+ AI tools simultaneously see productivity DROP — tool proliferation is a real problem
- Gartner: 40% of enterprise apps will have AI agents built in by end of 2026, up from under 5% a year ago

**Talking Points:**
- The "software update" analogy is exactly right — and it's actually good news. Remember when Windows updates were once-a-year, terrifying events? Now they're invisible background installs. That's where AI is heading.
- The pace of releases sounds chaotic but the consumer experience is stabilizing: you open ChatGPT or Claude, it's better this month than last. You don't have to think about which version.
- Developers are fatigued — there's a running joke in the tech world that AI tool fatigue now happens *daily*, where JavaScript framework fatigue used to happen monthly
- But for end users? More competition = better tools, same or lower prices. The same AI that cost $100/month a year ago is now free or $20/month.
- The 53% adoption in 3 years is stunning: TV took decades, internet took 7 years, smartphones took 5 years. AI hit half the population in 3.
- What this means for Tucson residents: the tools are mature enough to be useful, accessible enough to be free or cheap, and improving fast enough that it's worth trying again even if your last experience was frustrating.

**Why This Matters:**
We are past the "neat demo" phase of AI. This week's releases — three frontier models, $33 billion in investment, the Fortune comparison to Windows updates — are signs that AI is becoming infrastructure. Like electricity or the internet: you don't marvel at it, you just use it. The question is no longer "is this real" — it's "how do I use it before my competition does."

---

## SEGMENT 4: "What Normal People Should Actually DO With All of This" (12-14 min)

### Opening
"Okay, so we've covered GPT-5.5, DeepSeek, Claude, Amazon's $33 billion bet. Here's the part of the show that matters most: what do YOU do with any of this? Not a software engineer. Not a tech investor. A regular person in Tucson with actual problems to solve. Let's get practical."

---

### Story 1: The Five Real Things You Can Do Right Now — For Free or $20/Month

**Key facts:**
- ChatGPT (OpenAI): free tier gives access to GPT-4o; $20/month Plus gives GPT-5.5
- Claude.ai (Anthropic): free tier gives access to Claude Sonnet; $20/month Pro gives Opus 4.7
- Both free tiers are genuinely capable for everyday tasks
- GPT-5.5 excels: agentic tasks, multi-tool coordination, long conversations, computer use
- Claude Opus 4.7 excels: careful analysis, long documents, instruction-following, coding
- DeepSeek V4: available free at chat.deepseek.com; fastest adoption path for cost-sensitive small businesses

**Talking Points:**
- Task 1 — Homeowners: "I need to write a letter to my HOA about the drainage issue behind my house." Hand it the relevant HOA rules (photo of the document), describe the problem, ask it to write a firm but professional letter. Takes 2 minutes. Previously took half a day.
- Task 2 — Small business owners: "Analyze these 47 customer reviews and tell me the top 3 complaints and what I should do about them." Paste them all in. Get a prioritized action list. No consultant required.
- Task 3 — Retirees / medical: "Explain this Medicare Advantage summary of benefits in plain English. What's my out-of-pocket maximum for specialist visits?" Hand it the PDF. Get a clear explanation in 30 seconds.
- Task 4 — Anyone: "I need to compare these three home insurance quotes. Tell me which one is actually better and what I'm trading off." Paste all three. Get a real comparison with tradeoffs called out.
- Task 5 — Small business: "Draft a response to this negative Yelp review that's professional, doesn't admit liability, and invites them to call us directly." Paste the review. Done.
- The common thread: these are all tasks where you previously either struggled through it yourself, paid someone, or just didn't do it. Now they take minutes.

**Why This Matters:**
The people who figure out how to describe their problems clearly and give AI the relevant context are going to save 5-10 hours a week on tasks that currently frustrate them. That's not a technology story — that's a quality-of-life story.

---

### Story 2: What to Watch Out For — The Three Real Risks for Regular People

**Key facts:**
- AI hallucination: models still confidently generate wrong facts; rate has dropped but not to zero
- Privacy: anything you type into a free AI tool may be used for training; check each company's settings
- Dependency creep: BCG study found workers using 4+ AI tools simultaneously see measurable productivity drops
- Cost trap: free tiers are genuinely capable; many people don't need $20/month subscriptions yet
- The "impressive demo" problem: AI demos are designed to make the tech look flawless; real daily use is messier

**Talking Points:**
- The hallucination warning: these systems are confident liars when they don't know something. Never trust a specific number, date, legal interpretation, or medical fact without checking. Use it for drafting and organizing, not as the final authority.
- Privacy 101: ChatGPT's free tier uses your conversations for training by default. You can opt out in settings. Claude has similar controls. If you're pasting in business contracts or personal financial data — use the paid tier with data protection agreements, or don't paste the whole document.
- The right use case: AI is best at "get me most of the way there" tasks where you then review and edit. It's a very capable first draft machine, not a finished product machine.
- The cost question: if you're only using AI once a week for occasional tasks, the free tier is fine. The $20/month subscription makes sense if you use it daily or rely on it for work.
- DeepSeek caveat: it's Chinese-owned, the data goes to Chinese servers, the company is subject to Chinese law. For personal curiosity tasks? Fine. For sensitive business information? Use Claude or ChatGPT.
- The "it's just a tool" reminder: a hammer doesn't do your home renovations. AI doesn't do your thinking. It does the mechanical part of a task — the drafting, the summarizing, the formatting — and you bring the judgment.

**Why This Matters:**
The hype around AI goes in two directions: either "it's going to do everything for us" or "it's going to destroy everything." Both are wrong. The honest version is: it's the most useful productivity tool released since the smartphone, it has real limitations you need to know, and the people who understand both will get the most out of it.

---

### Story 3: The Bigger Picture — What This Week's AI Arms Race Means for Tucson

**Key facts:**
- AI faster than internet: generative AI reached 53% adoption in 3 years; internet took 7+ years to reach the same milestone
- The competitive pressure on prices: GPT-5.5 charges $30/million output tokens; DeepSeek charges $3.48; the race to the bottom benefits businesses
- Amazon's $33B deal creates reliability: more compute means fewer outages, faster responses, better uptime for everyday users
- 88% organizational adoption (Stanford AI Index 2026): most businesses are already using some form of AI
- Local angle: Arizona small businesses that adopt AI tools for customer service, scheduling, and marketing are competing with businesses nationally that are already using them

**Talking Points:**
- Tucson specific: the service businesses that dominate our local economy — contractors, restaurants, medical offices, real estate — all have repeatable communication tasks that AI handles well
- The "your competition is already using it" argument: this isn't speculation. 88% organizational adoption means the HVAC company across town, the competing dental practice, the other real estate agent — they're already drafting their emails with AI. The question is whether you keep spending 40 minutes on a task that takes them 4.
- The cost argument for small businesses: a business sending 200 customer emails a month saves 10+ hours if each one takes 3 minutes with AI instead of 30 without. At any reasonable hourly rate, that's thousands of dollars in recovered time per year.
- The "it moves fast" observation: three frontier models in one week. Amazon betting $33 billion. The pace of investment and development is not slowing down — it's accelerating. The time to learn this tool is before it becomes table stakes, not after.
- Realistic prediction: within 18 months, AI-written first drafts will be standard in most businesses, the way spell-check became standard. The people who learned it early will be faster and more capable.
- Final encouragement: you don't need to understand the technology to use it. You just need to be willing to describe your problem in plain English and try. The barrier is lower this week than it was last week.

**Why This Matters:**
The AI arms race covered today — GPT-5.5, DeepSeek, Claude, Amazon's $33 billion — is ultimately a competition to win your time. Every company in this race is trying to prove they can save you the most hours per week. The winner of that competition is you, as long as you actually pick up the tool.

---

## SHOW WRAP & TAKEAWAYS

### Summary
"So here's what happened this week in AI, in plain English. OpenAI dropped GPT-5.5 on Thursday — a rebuilt model that can plan, use tools, and finish multi-step tasks without you guiding it every step of the way. Fortune called it: AI launches now look like software updates. DeepSeek fired back from China on Friday with V4-Pro and V4-Flash — near-frontier quality at roughly one-tenth the price, and built on Chinese Huawei chips that weren't supposed to be capable of this. And Amazon announced Monday it's committing $33 billion total to Anthropic — the biggest AI investment in history — partly because Claude's infrastructure was straining under too many users, and partly because Amazon wants AI baked into everything on AWS.

The takeaway for regular people: these models actually *do things* now. They plan. They use tools. They finish tasks. They don't just write essays. And the competition between them is driving prices down and quality up at a pace faster than any technology we've ever seen. The question for you isn't whether AI is real — it's what problem you're going to hand it first."

### Final Thought
"In 1995, you could have explained the internet to somebody and they would have said 'sounds interesting, I'll check it out when it's more useful.' The people who said that in 1999 were still catching up in 2005. We're at a similar moment with AI, except the timeline is compressed by a factor of three. The window for early adoption is shorter. Pick one task you hate doing every week. Give it to ChatGPT or Claude. See what you get back. That's all. You can evaluate the whole AI arms race from that one experiment."

### What You Can Do This Week
- **Try ChatGPT free:** chat.openai.com — no account required for basic access; login for full GPT-5.5 access with Plus ($20/month)
- **Try Claude free:** claude.ai — free tier gives you Claude Sonnet; $20/month for Opus 4.7
- **Best task to start with:** something you have to write. An email, a letter, a complaint, a review response. Paste in context, describe what you want, see what it drafts.
- **DeepSeek for curiosity:** chat.deepseek.com — free, impressive, but be cautious with sensitive business data (Chinese servers)
- **For small businesses:** ask your AI how to respond to your last negative Yelp or Google review. Then ask it what your top customer complaint pattern is based on your reviews.
- **Privacy tip:** in ChatGPT settings, go to Data Controls and disable "Improve the model for everyone" if you don't want your conversations used for training.
- **The $20 question:** if you use it more than 3x per week for work tasks, the subscription pays for itself. If it's occasional curiosity, stay free.

---

## SOURCES

### GPT-5.5 "Spud"
- [OpenAI releases "Spud" GPT-5.5 model — Axios](https://www.axios.com/2026/04/23/openai-releases-spud-gpt-model)
- [Introducing GPT-5.5 — OpenAI](https://openai.com/index/introducing-gpt-5-5/)
- [GPT-5.5 is here — and AI model launches are starting to look like software updates — Fortune](https://fortune.com/2026/04/23/openai-releases-gpt-5-5/)
- [OpenAI releases GPT-5.5, bringing company one step closer to an AI 'super app' — TechCrunch](https://techcrunch.com/2026/04/23/openai-chatgpt-gpt-5-5-ai-model-superapp/)
- [GPT-5.5 benchmarks, pricing and vs Claude — BuildFastWithAI](https://www.buildfastwithai.com/blogs/gpt-5-5-review-2026)
- [OpenAI's GPT-5.5 is here — Kingy AI](https://kingy.ai/news/gpt-5-5-openai-features-benchmarks-pricing/)

### DeepSeek V4
- [DeepSeek V4 — almost on the frontier, a fraction of the price — Simon Willison](https://simonwillison.net/2026/Apr/24/deepseek-v4/)
- [China's DeepSeek unveils latest models a year after upending global tech — Al Jazeera](https://www.aljazeera.com/economy/2026/4/24/chinas-deepseek-unveils-latest-model-a-year-after-upending-global-tech)
- [DeepSeek V4, with rock-bottom prices and close integration with Huawei chips — Fortune](https://fortune.com/2026/04/24/deepseek-v4-ai-model-price-performance-china-open-source/)
- [DeepSeek returns with V4-Pro and V4-Flash — The Next Web](https://thenextweb.com/news/deepseek-v4-pro-flash-launch-open-source)
- [DeepSeek previews new AI model that 'closes the gap' — TechCrunch](https://techcrunch.com/2026/04/24/deepseek-previews-new-ai-model-that-closes-the-gap-with-frontier-models/)

### Amazon / Anthropic Deal
- [Amazon to invest up to another $25 billion in Anthropic — CNBC](https://www.cnbc.com/2026/04/20/amazon-invest-up-to-25-billion-in-anthropic-part-of-ai-infrastructure.html)
- [Anthropic takes $5B from Amazon and pledges $100B in cloud spending in return — TechCrunch](https://techcrunch.com/2026/04/20/anthropic-takes-5b-from-amazon-and-pledges-100b-in-cloud-spending-in-return/)
- [Amazon and Anthropic expand strategic collaboration — Amazon About](https://www.aboutamazon.com/news/company-news/amazon-invests-additional-5-billion-anthropic-ai)
- [Amazon's $33 Billion Anthropic Deal and the Real Limits of AI Infrastructure — Markman Capital](https://markmancapitalinsight.substack.com/p/amazons-33-billion-anthropic-deal)

### Claude Opus 4.7
- [Introducing Claude Opus 4.7 — Anthropic](https://www.anthropic.com/news/claude-opus-4-7)
- [Anthropic rolls out Claude Opus 4.7 — CNBC](https://www.cnbc.com/2026/04/16/anthropic-claude-opus-4-7-model-mythos.html)

### Agentic AI / Context
- [What is Agentic AI — IBM](https://www.ibm.com/think/topics/agentic-ai)
- [10 Agentic AI Examples That Actually Work in 2026 — Warmly](https://www.warmly.ai/p/blog/agentic-ai-examples)
- [AI Arms Race Accelerates With New Models — DataWorldBank](https://www.dataworldbank.net/2026/04/24/ai-arms-race-accelerates-with-new-models-from-openai-deepseek-and-anthropic/)
- [GPT-5.5 vs Claude Opus 4.7 — Lushbinary](https://lushbinary.com/blog/gpt-5-5-vs-claude-opus-4-7-comparison-benchmarks-pricing/)
- [DeepSeek V4 vs Claude Opus 4.7 vs GPT-5.5 — Lushbinary](https://lushbinary.com/blog/deepseek-v4-vs-claude-opus-4-7-vs-gpt-5-5-comparison/)
