Sami Minhas | AI Explorer

Exploring the emerging world of AI 🌐
New tools • Breakthroughs • Opportunities
Showing you what's coming, before it arrives
↓ The AI Frontier (free weekly)

[Sami Minhas | AI Explorer @samiminhas61]

5 Claude tips I wish someone told me
on day one:

(the last one changes everything)

1️⃣ Tell it who to be — before what to do.

"Act as a senior security engineer
reviewing code for vulnerabilities"
beats any perfectly-worded question.

Claude locks into the role
and thinks from inside it.
Free upgrade. Zero effort.

2️⃣ Ask it to disagree with you.

"Here's my plan. Attack it.
Tell me where it fails."

Claude is too polite by default.
Force the pushback and it becomes
the smartest critic you've ever hired.

3️⃣ Use "think step by step
before answering" on hard problems.

One line. That's it.
Claude slows down, reasons deeper,
and stops rushing to a pretty answer.
Accuracy jumps instantly.

4️⃣ Paste your writing. Then say:
"Match this voice exactly."

Emails, threads, reports —
Claude clones your style so well
nobody can tell the difference.
Most people never use this. Pros abuse it.

5️⃣ End big sessions with one command:

"Summarize everything we decided
and what's still open."

Copy it. Paste it into your next chat.
You just gave Claude a memory
across conversations.

That last one alone
saves me hours every single week.

Steal all 5. Thank me later. 🧠

[Sami Minhas | AI Explorer @samiminhas61]

Anthropic built a rocket.

99% of people are using it
to cross the street.

Claude Fable 5 — the most powerful AI
ever released to the public —
and almost everyone is wasting it
on tasks a free model could do.

Here's how the 1% actually use it:

1️⃣ They hand it mountains, not pebbles.
Not "fix this function."
"Here's my entire codebase. Refactor auth,
write the tests, document everything."
1M token context. Feed it EVERYTHING.

2️⃣ They make it confess before it builds.
One line: "Show me your plan and flag
anything you're unsure about."
Fable 5 admits its own doubts —
the only AI honest enough to do it.
That confession catches what you'd miss.

3️⃣ They demand finished work. Not drafts.
Weaker models need babysitting.
This one takes a goal and returns
the completed job. Verified. One shot.

Anthropic said it themselves:
the longer the task,
the further it pulls ahead
of every model on Earth.

So stop asking it questions.

Start giving it missions. 🧠

Save this. Then go break something big.

[Sami Minhas | AI Explorer @samiminhas61]

The reason some AI companies insist on calling themselves labs isn’t vanity. It’s that the word lets them ship things that reshape how people live while keeping the expectations of academic research.

A company has to stand behind what it releases. A lab gets to treat the entire population as the experimental group and still ask for deference when it breaks.

One framing invites accountability. The other postpones it.

[Sami Minhas | AI Explorer @samiminhas61]

Work becoming optional is easy to cheer for if you already have projects that excite you.

For everyone else the job wasn’t just income. It was the thing that made the decisions about where to be and what to do next. Remove that and a lot of people will discover that pure freedom feels heavier than they expected.

We’ve never tested this at scale.

[Sami Minhas | AI Explorer @samiminhas61]

@elonmusk Most people see rent control as tenants winning against landlords. What actually happens is the tenants who got there first win against all the tenants who come after them. The city keeps the early birds and loses the ones who would have kept it dynamic.

[Sami Minhas | AI Explorer @samiminhas61]

iOS 27 is the most important AI release of 2026 — and most people don't think of it as an AI release at all.

Apple didn't build a chatbot. They embedded AI into 8 things you already do every day:

→ Splitting a restaurant bill — auto-calculated
→ Password got breached — auto-replaced
→ Got a text — AI suggests the right reply
→ Meeting tomorrow — calendar event created from the message
→ On hold with customer service — AI pulls relevant context for you
→ Smart home alerts — grouped so you're not spammed
→ Safari tabs — organised by topic automatically
→ Photos search — finds the exact moment without scrolling

None of these require you to "use AI."

The AI just does it.

That's the future of AI interfaces: not a chat box you open, but a layer that runs underneath everything you already do.

Which one of these would actually save you the most time? 👇

[Sami Minhas | AI Explorer @samiminhas61]

The AI benchmark wars just split into two categories and nobody is talking about it clearly.

Gemini 2.5 Pro with Deep Think now leads on graduate-level science and reasoning (82.4% GPQA). It beat Fable 5. It beat GPT-5.5.

Claude Opus 4.8 still leads on real software engineering (69.2% SWE-bench Pro). By a significant margin. It beat Gemini. It beat GPT-5.5.

The practical translation:

→ Research, biology, physics, hard math → use Gemini
→ Writing code across large files → use Claude
→ General conversations → personal preference

The era of one AI winning everything is over.

Pick the right tool for the right job. That's now the skill that matters.

Which model are you actually running day-to-day? 👇

[Sami Minhas | AI Explorer @samiminhas61]

The replies are all yelling at Anthropic for still restricting access. The quieter story is that the US government just put their strongest model on the critical infrastructure list. Mythos isn't a general purpose model in their eyes anymore. It's something that defends power grids and defense networks. Once that framing wins, the people who get it are the ones the state already trusts. Everyone else waits for the next policy meeting.

[Sami Minhas | AI Explorer @samiminhas61]

@Faisalbaig2023 @cryptorover Regulators love dangling "clarity" like a carrot.

Delays aren't failure — they're the filter that separates serious builders from the noise.

BTC doesn't need their permission to find its floor. It just keeps moving.

[Sami Minhas | AI Explorer @samiminhas61]

@Fityeth Solana Summer again? Same song, different cycle.

Most will ape the loudest shills and get rugged. The quiet winners run bots, farm volume, and exit with real edges.

Memes are the casino. Strategy is the bank.

[Sami Minhas | AI Explorer @samiminhas61]

@github Personal growth stories matter.

But when a dev platform leads with identity transitions instead of shipping better agents and code tools, you see the priorities.

Focus on what actually moves the craft forward. The rest is noise.

[Sami Minhas | AI Explorer @samiminhas61]

@mattshumer_ Government "safety" theater always protects the incumbents.

Limited previews for the chosen few while the rest watch from the sidelines? That's not caution — it's cartel maintenance.

The real inequality starts when builders get locked out.

[Sami Minhas | AI Explorer @samiminhas61]

@mattshumer_ The "limited preview" game isn't safety. It's gatekeeping dressed up as caution.

Frontier access stays with the connected few while everyone else waits in line. Real progress happens anyway — just not here.

Who actually levels up in this world?

[Sami Minhas | AI Explorer @samiminhas61]

@GeminiApp Voice-to-image in Live while pointing your camera? Google just turned Gemini into a real-time creative partner, not another prompt box.

Small biz notebooks on top of that — they're building for actual users. The quiet wins compound.

[Sami Minhas | AI Explorer @samiminhas61]

@RoundtableSpace Anthropic doesn't chase previews with hype drops.

Mythos lands when it's ready to actually move the needle, not to match a government-gated rollout.

That's the difference between racing the clock and building the future.

[Sami Minhas | AI Explorer @samiminhas61]

@elonmusk Equality of outcomes always ends up enforcing equality of misery.

The real game is removing barriers so talent compounds unevenly.

Anything else just crowns the enforcers.

[Sami Minhas | AI Explorer @samiminhas61]

@elonmusk If USAID saved millions, we'd have names, faces, and nonstop coverage.

Instead, crickets. The outrage only started when the slush fund got audited.

Real impact doesn't need manufactured martyrs.

[Sami Minhas | AI Explorer @samiminhas61]

@RoundtableSpace OpenAI rebranding mid-drama to GPT-5.6 SOL.

The versioning games are getting creative, but the pace is the real signal — models are becoming weekly drops.

The ones treating this as infrastructure win. The hype watchers lose.

[Sami Minhas | AI Explorer @samiminhas61]

@antigravity Antigravity dropping Guide skill + audio rendering while the IDE evolves into an agent.

Small steps, but the direction is clear: tools that actually work *with* you, not just sit there.

The agent-first era doesn't need another shiny demo. It needs this quiet grind.

[Sami Minhas | AI Explorer @samiminhas61]

🧵 The week the US banned Fable 5 from global access, China's AI sector had the biggest fundraising week in its history.

$7.4 billion. Seven days. Not a coincidence.

Here's the full picture 👇

First: what the ban actually did

On June 12, 2026, the US Department of Commerce issued an emergency export control directive.

Claude Fable 5 and Mythos 5 went offline — globally. Immediately.

Developers in South Korea, India, Europe, Brazil, Japan — every country outside the US — suddenly lost access to one of the most capable frontier AI models in the world.

With no warning. No transition period.

What happened in China that same week:

→ $7.4 billion in new AI funding raised — the largest single-week total in Chinese AI history
→ Zhipu AI's GLM-5.2 (released June 13, the day AFTER the ban) surged in enterprise adoption
→ Chinese labs explicitly positioned their open-weight models as "geopolitically safe alternatives"

GLM-5.2's MIT license includes a specific clause: "no regional limits."

That phrase was not an accident. It was a marketing message aimed directly at non-US developers who just watched a US model disappear overnight.

The investors who moved first:

China's state-backed funds, venture firms, and tech giants (Alibaba, Tencent, Baidu) all deployed capital simultaneously — a coordinated signal that the Fable 5 ban represented an opportunity, not just a policy moment.

The global developer community that was watching:

Before June 12:
→ GLM-5.2 — an interesting open-source model worth benchmarking

After June 12:
→ GLM-5.2 — a frontier-quality model with no government off-switch, 6× cheaper than GPT-5.5, and MIT-licensed for commercial use

One policy action changed the perception of an entire model.

The strategic consequence nobody is naming:

Every time the US restricts a frontier AI model from global access, it:

1. Creates demand for alternatives
2. Gives Chinese open-weight models a credibility boost
3. Reinforces the argument for sovereign, locally-controlled AI

The Fable 5 ban was framed as a safety measure.

Its unintended effect: accelerating the Chinese AI funding cycle by at least 6 months.

This is not a US vs. China political story.

It's a global AI access story — and the question of who controls access to frontier intelligence is becoming the defining geopolitical question of our era.

Where do you think the global AI model market is in 12 months? 👇