Editor-in-Chief @TheDeepView. Explaining how AI is reshaping the world. Award-winning journalist. Podcast host. 📧 [email protected] | Signal jasonhiner.01
⚙️ New episode: @EvanSpiegel of @Snap.
The Snap CEO joins The Deep View Conversations to discuss SPECS, Snap's long-awaited augmented reality glasses and why he believes they represent a new era of computing.
Senior reporter @sabrinaa_ortiz interviewed Spiegel at Augmented World Expo immediately after the SPECS unveiling and he explained why Snap spent more than a decade building toward this moment, how SPECS differ from AI smart glasses and mixed reality headsets, and why he sees AR glasses as the future beyond smartphones.
Other topics covered include:
• Why Snap calls SPECS a "computer" instead of AI glasses
• How SPECS combine wearability with advanced spatial computing
• The role AI played in making consumer AR glasses viable
• Why shared experiences could become AR's killer app
• The challenge of competing with Apple, Meta, and other tech giants
• Snap's 12-year investment in augmented reality hardware and software
• The importance of developers in building the AR ecosystem
• Why Spiegel believes people are ready for an alternative to smartphones
• How AR glasses could make computing more human
Spiegel argues that after nearly two decades of smartphone dominance, consumers are increasingly looking for a more natural way to interact with technology. Snap's bet is that augmented reality glasses can bring computing into the world around us instead of pulling us away from it.
📺 Watch on YouTube: https://t.co/fU1FBOZtKP
🎧 Listen in your favorite podcast player: https://t.co/yvmQgeHXYk
Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://t.co/nLQWo5AXYk
And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: https://t.co/EqClu8irhI
LLMs are now responsible for nearly 2% of referral traffic to top retailers like Walmart and Target 👇
This has more than tripled in the past year
Categories that are seeing the most AI pickup are research-intensive - electronics and home & garden lead the pack
We’re excited to introduce Taste Labs.
Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste.
And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners
AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design.
There are two sides to cracking this, the foundation model layer and the agent layer:
- We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments.
- We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs.
We want a future where AI feels right.
If you’re passionate about this mission, join us!
NVIDIA is working with Abridge on a specialized AI that understands doctor-patient conversations, writes clinical notes, and supports better decisions right inside existing workflows.
Helping give clinicians time back for patient care.
⚙️ New episode alert: Dmitry Shevelenko of @perplexity_ai
Perplexity has become one of the most important AI companies in the world, but its ambitions now stretch far beyond AI-powered search.
In this episode of The Deep View Conversations, editor-in-chief Jason Hiner sits down with Dmitry, chief business officer at Perplexity, to discuss how the company evolved from an AI answer engine into a platform for AI agents and digital coworkers. Dmitry explains why Perplexity has focused so intensely on accuracy, how AI is changing the nature of work, and why he believes the future belongs to small, highly leveraged teams.
The conversation also explores Perplexity Computer, hybrid compute, the coming shift toward AI agents, and what leaders need to do to stay relevant in a world where AI increasingly performs knowledge work.
Topics covered:
• Why Perplexity made accuracy its defining principle
• How Perplexity grew from 20 employees to 400
• The rise of AI agents and digital coworkers
• Why Perplexity abandoned advertising as a core strategy
• How Perplexity Computer orchestrates multiple AI models
• The future of hybrid cloud and local AI computing
• Why "tokenmaxxing" may not be sustainable
• How AI is reshaping entry-level jobs
• Why entrepreneurship may become the new career path
• The three skills that will matter most in the AI era
• How leaders should think about leverage and productivity
• What Perplexity sees coming next in AI
If you're trying to understand where AI agents are headed, how work is changing, and why Perplexity has emerged as one of the AI industry's key players, this is a conversation you won't want to miss.
📺 Watch on YouTube: https://t.co/LiBZ17E1KY
🎧 Listen in your favorite podcast player: https://t.co/2Fz4rk06rn
Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://t.co/nLQWo5Aq8M
And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: https://t.co/EqClu8hTsa
At Apple Park, @jasonhiner and @sabrinaa_ortiz sat down for a special episode of The Deep View Conversations to break down Apple's biggest AI announcements at WWDC 2026 this week.
After two years of delays, promises, and mounting pressure, Apple delivered the Siri and Apple Intelligence experience we've been waiting for. But the bigger story may be how Apple is bringing AI to everyday users without forcing them into chatbots, new apps, or complicated workflows.
In this conversation, Sabrina and Jason unpack the most important announcements from WWDC, debate Apple's approach to AI, and explore where Apple's strategy differs from OpenAI, Google, Anthropic, and the rest of the industry.
Topics covered include:
+ Why Apple's new Siri is a much bigger deal than it looks
+ How 'Personal Context' is Apple's biggest AI advantage
+ Why Apple is betting on features over chatbots
+ The role of privacy, trust, and Private Cloud Compute
+ Why Spatial Reframing is Apple's most innovative AI feature
+ How Apple Intelligence works with Apple's Foundation Models and Google Gemini
+ The AI upgrades coming to Photos, Safari, Messages, Writing Tools, and Mac
+ Why Jason thinks Apple needs a stronger AI agent strategy
+ Why Sabrina believes Apple is right to avoid AI buzzwords
+ What WWDC revealed about the future of AI on iPhone, Mac, Vision Pro, and beyond
+ The biggest wins, misses, and unanswered questions from Apple's AI roadmap
If you're trying to understand where AI is actually headed, beyond the hype cycle, this is an episode you won't want to miss. Whether you're an Apple user, an AI enthusiast, a developer, or simply curious about how AI will show up in everyday life, this conversation offers one of the clearest perspectives on Apple's next chapter.
📺 Watch on YouTube: https://t.co/lNJ3hJakZL
🎧 Listen in your favorite podcast player: https://t.co/pXMx3FU1AS
Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://t.co/nLQWo5Aq8M
And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: https://t.co/EqClu8hTsa
The Anatomy of a new Claude 'Fable 5' Prompt:
1. Task
Start with why, NOT what.
Claude 5 connects the dots.
'I'm working on [goal] for [who it's for]. They need [what the output enables]. With that in mind: [task].'
2. Context Files
Upload your expertise. Stop explaining in prompts.
"Read these files completely before responding: [filename .md] - [what it contains]."
The file is the brain. This part never changes.
3. Reference
Show Claude 5 what good looks like.
"Reference for what I want to achieve: [paste]."
One example beats ten instructions.
4. Effort
The new change, a few people are talking about.
"This is a [routine / hard / hardest-unsolved] problem. Scope it like it's at the top of your range."
Teams testing Claude 5 on easy tasks undersell it.
Give it your hardest problem.
5. Act
"AskUserQuestion" is still the king.
Add "When you have enough information to act, act. Don't re-litigate my decisions. While weighing a choice, give a recommendation."
6. Scope
Claude 5 over-delivers by default. Control it.
"Do the simplest thing that works well. No extra features, refactors, or abstractions. If I'm describing a problem, the deliverable is your assessment."
The old one did too little. This one does too much.
7. Delegate
One Claude is no longer the limit.
"Split independent subtasks across subagents & keep working while they run. Verify with a fresh-context subagent."
It's not a chatbot anymore. It's a team lead.
8. Evidence
The line that removes fake progress reports.
"Before reporting progress, audit every claim against a tool result. If it's unverified, say so. Tests failed? Show the output."
Anthropic tested this.
It nearly eliminated fabricated status updates.
9. Memory
Claude 5 gets smarter every run. If you let it.
"Record learnings in [notes .md] — one per file. Update, no duplicate. Delete what turns out wrong."
Your prompts expire. Your learning file compounds.
10. Checkpoint
It can run for hours. Decide when it stops.
"Pause only for: destructive actions, scope changes, or input only I can provide. Never end your turn on a promise."
The old fear was Claude stopping too late.
The new fear is stopping too early.
11. Report
The last block. The first thing you read.
"Open with the outcome - the TLDR I'd ask for. Complete sentences. Clear beats short."
It worked for hours. You read for ten seconds.
Copy the full prompt template + download my personal md. files for Claude here:
Step 1. Go to https://t.co/psB7XxB2Y4.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open my welcome email.
Step 4. Hit the automatic reply button inside.
Step 5. Download my .md files. Ready to upload.
Outstanding week at @Apple#WWDC26.
Learned a lot. Made new connections. Offered our analysis at @TheDeepView.
I never fail to be impressed by the energy, empathy, and excellence of @sabrinaa_ortiz, even though we’ve worked together for so many years now!
We believe in helping families create safer digital experiences. With our updated child safety features, parents can easily manage what their kids can see, who they can communicate with, and when they have access to apps. https://t.co/2HcsXobXRn