🤖 AI Will Shrink Amazon’s Corporate Workforce

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In today’s Daily Report:

• 📦AI Will Shrink Amazon’s Corporate Workforce

• 🦾MIT Teaches LLMs to Self-Improve

• 🛠Trending Tools

• 🥪Brief Bites

• 💰Funding Frontlines

• 💼Who’s Hiring?

Read Time: 3 minutes

🗞RECENT NEWS

AMAZON

📦AI Will Shrink Amazon’s Corporate Workforce

Amazon CEO Andy Jassy just announced that the e-commerce giant’s corporate workforce will shrink as it adopts GenAI and AI Agents.

Key Details:

• AI Agents are starting to change how companies perform complex business processes by acting on an employee’s behalf. They have the ability to autonomously analyze, execute, and fulfill without an employee lifting a finger.

• “As we roll out more GenAI and AI Agents, it should change the way our work is done,” Mr. Jassy explained. “We’ll need fewer people doing some of the jobs that are being done today.”

• “AI Agents will change how we work and live,” he added. “While many of these AI Agents have yet to be built, they’re coming, and fast.”

• He continued by saying GenAI will “transform the scope and speed at which we’re able to innovate.”

Why It’s Important:

• Nearly 80% of companies use GenAI, yet just as many companies experience no significant financial gains, such as increased revenue, reduced costs, or improved margins, from the technology. McKinsey & Co. (McK) refers to this as the “GenAI Paradox.”

• AI Agents offer a way to break out of the “GenAI Paradox” because they possess the ability to automate complex business workflows by shifting GenAI from a reactive tool to a proactive virtual co-worker.

🩺 PULSE CHECK

AI RESEARCH

🦾MIT Teaches LLMs to Self-Improve

The Massachusetts Institute of Technology (MIT) recently developed “Self-Adapting LLMs (SEAL),” which enable LLMs to autonomously self-improve.

Key Details:

• LLMs are essentially sophisticated autocomplete machines trained on the entire Internet. So, how exactly are LLMs trained?

• They’re shown millions of sentences with the last word covered up and must guess what comes next (e.g., “She poured a cup of hot {BLANK}?”).

• LLMs learn to predict words like “tea” or “coffee” based on patterns they’ve seen from similar phrases within training datasets. But once training ends, the LLMs become static.

• If a new fact, emerging trend, or unique task appears, the LLMs won’t know how to handle it unless developers retrain them.

• SEAL solves this issue by creating “self-edits,” or instructions to help LLMs autonomously generate new training datasets and update existing Weights.

• Weights help LLMs measure the meaning of words within a sentence to understand context, which is essential for generating accurate, coherent, and relevant outputs.

• Consider the following sentence: “The dog barked at the stranger.” In this example, the LLMs would look at the word “barked” and determine that “dog” is important because it’s doing the barking.

Why It’s Important:

• LLMs are static once training ends. That means if new slang becomes popular or a recent scientific discovery occurs, they won’t know about it.

• SEAL enables LLMs to self-update on the fly, so they stay current without requiring full retraining.

PROMPT ENGINEERING TIPS

⚙️Creative Constraints

Freedom is great, but boundaries spark brilliance.

When your ideas are too open-ended, your focus can feel scattered. You need a way to sharpen your vision and filter out unwanted noise.

That’s where creative constraints come in. They help you define the shape of your ideas, turning ambiguity into action.

This simple prompt helps ChatGPT set clear limits on style, length, and format to give you creative structure:

• Context: I’m brainstorming ideas for {Insert Project},

• Clarity: but my ideas feel too broad and unfocused.

• Guidance: Can you help me define creative constraints to guide these ideas?

I'm brainstorming ideas for {Insert Project}, but my ideas feel too broad and unfocused. Can you help me define creative constraints to guide these ideas?

🛠TRENDING TOOLS

✉️Speechly turns your voice into emails.

📽️SeedancePro turns ideas into professional videos.

🗣️UntitledPen. creates the most human-like voiceovers.

🪄instance builds apps, games, and websites anytime, anywhere.

📊flowstep transforms your thoughts into beautifully crafted designs.

🧰 Browse our Always Up-To-Date AI Toolkit.

🥪BRIEF BITES

Intel reportedly plans to lay off anywhere from 15% to 20% of Intel Foundry Workers starting next month.

Moonshot AI introduced “Kimi-Dev-72B,” an open-source coding LLM that excels at software engineering tasks.

OpenAI just won a $200 million contract with the U.S. military to analyze aircraft maintenance, track terrorist financing networks, and strengthen cybersecurity defenses.

Reddit launched “Community Intelligence,” which helps businesses turn billions of conversations across Subreddits into structured intelligence for smarter marketing decisions.

💰FUNDING FRONTLINES

• Alta raised an $11M Seed Round for an AI stylist that truly gets you.

• Definely landed a $30M Series B to provide AI-based tools for lawyers.

• Sword Health secured a $40M Series F to scale an AI-powered mental health platform.

💼WHO’S HIRING?

• NVIDIA (Santa Clara, CA): GPU Diagnostic Software Intern, Fall 2025

• Workato (San Francisco, CA): Developer Advocate, Entry-Level

• Block (San Francisco, CA): Marketing Data Analyst, Mid-Level

• Rippling (New York, NY): Director of Product Design, Senior-Level

📒FINAL NOTE

FEEDBACK

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