🍭 AI vs AI in the 3-Day-Workweek 👩‍💼

Good morning. If AI is the new intern, it just volunteered to fight hackers, schedule meetings, and coach Alabama football.

Meanwhile, our real intern still can’t refill the Keurig.

Let’s dig in.

🍭 What’s Cookin’:

• 3 day workweek coming soon?

• AI fights back against hackers 

• How To Prompt Your App Idea in 30 Seconds

• And Everything Else

Steal This Prompt
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3. Paste into GPT

4. Upload our reference image first, then your image to transform

5. Pixar-fy yourself for free.

   
   🍭 Try the prompt on Snack Prompt 🍭

Predictions
👩‍💼 AI Says Three-Day Week. Your Boss Says “See You Monday.”

The Bite: Zoom’s CEO is out here saying we could get a 3-day workweek thanks to AI.

Love the optimism, Eric.

But history says otherwise: every time we’ve “saved time” with tech, bosses just backfill it with more goals, more projects, more… meetings.

Even NVIDIA’s Jensen Huang chimed in:
“AI won’t free us, it’ll just make us busier”.

Snacks:

• Headline vs. Math: AI saves hours; managers refill them.

• Huang Was Right: Productivity up ≠ workload down.

• Meetings Shrink, Output Grows: Async + agents trim the fat.

• Winners & Worriers: Seniors gain leverage; entry-level perks could thin.

Why it bites: AI will absolutely kill the dumb tasks (calendar Tetris, note-taking, ticket triage).

But will that time turn into four-day weekends?
Or just four more Jira tickets?

Odds are: the latter.

The three-day week is a great soundbite, but the macro play is different;
AI won’t shrink ambition, just the time it takes to chase it.

That means freedom for some (side hustles, passion projects), pressure for others (entry-level roles getting thinner), and plenty of folks still clocking in Monday morning.

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• Flags hallucinations, code smells, security issues, and performance problems.

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_{Everything Else}
🧠 You Need to Know

🏈 College Football Tries AI On and Off the Field

→ CBS Sports reports programs are experimenting with AI for scouting, recruiting, play analysis, and operations after interviews with more than a dozen insiders.

🇺🇳 At UNGA, Leaders Push ‘AI Red Lines’

→ As the UN General Assembly opens, a coalition including Nobel laureates and AI researchers urges binding global safeguards and a treaty-level agreement on AI “red lines.”

🧱 Oracle Names Two Co-CEOs; Catz Becomes Vice Chair

→ Oracle appointed Clay Magouyrk and Mike Sicilia as co-chief executives, with longtime CEO Safra Catz moving to executive vice chair of the board.

🪙 Shield Raises $5M to Streamline Cross-Border Crypto B2B

→ Crypto neo-bank Shield closed a $5M seed to facilitate international business transactions, with Giant Ventures leading and participation tied to a16z Crypto.

🕵️ Unit 221B Nabs $5M for Platform Tracking Hacking Groups

→ The seed round will expand the company’s eWitness threat-intel platform to help investigators identify and disrupt cybercriminals.

_ToolBox™
🧰 5 AI Tools to Prompt Your App Idea In 30 Seconds

💻 Cursor 1.6 — AI Pair-Programmer IDE
→ Refactors, tests, and multi-file edits that actually understand your repo—and stay in flow.

🧩 OpenAI — Full MCP Support — Tooling That Scales
→ Wire models to your services with the Model Context Protocol for safer, reusable tools and agents.

🧑‍💻 OpenAI — GPT-5 in Xcode — Native Coding Assist
→ Generate, explain, and fix code inline in Apple’s IDE—speed up reviews, tests, and UI glue.

🚀 xpander.ai — AI Infra for Builders
→ Deploy dependable LLM features with evals, guardrails, and analytics baked in.

🧱 Solid — Opinionated App Stack
→ Ship SaaS faster with auth, billing, and data scaffolding that won’t fight you later.

Cybersecurity
🥷 AI vs. AI: The Cyber Arms Race Gets Real

The Bite: AI just became your company’s overcaffeinated intern.

It can spot weird logins, flag malware that hasn’t even been named yet, and crank out incident reports before you’ve even logged into Slack.

Here’s the catch:
Hackers have the same intern.

Generative AI is making phishing emails slicker, malware trickier, and scams scarier at scale.

It’s no longer man vs. machine
It’s machine vs. machine.

And the question is which side trains theirs better.

Snacks:

• Behavior > Signatures: Models learn “normal,” flag weirdness fast, fewer false positives.

• Auto-IR Drafts: LLMs condense alerts into timelines and next steps.

• Purple-Team On-Demand: Simulate attacker paths to harden controls.

• Phish Goes Pro: GenAI mass-personalizes lures; deepfaked IDs rise.

• Real-World Stakes: Faster AI triage buys minutes that prevent meltdowns.

Why it Bites: For once, defense actually scales.

AI gives security teams superpowers to cut noise and shut doors faster than attackers can wiggle through them.

But the same tech, on the other side, makes hackers sharper too.

And some AI-born vulnerabilities won’t be obvious until they’re exploited.