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- 🍭 Why AI Hallucinates 🤔
🍭 Why AI Hallucinates 🤔
And How to Stop it


Good morning. Writers got $1.5B. The intern got a parking ticket.
Life isn’t fair.
Let’s dig in.
🍭 What’s Cookin’:
Anthropic Pay’s $1.5B
OpenAI Research Paper
ToolBox™: Speed Run Content Creation
And Everything Else
OpenAI Research Paper
🤷♂️ Why AI Halucinates
The Bite: OpenAI just published a new research paper on why AI’s make stuff up.
Common term for this: Hallucination
It turns out the issue isn’t spooky “AI dreams” but the way we train and test them.
Models learn patterns well (like spelling “hippopotamus”) but fumble unique facts (like your grandma’s birthday).
Then grading systems double down by rewarding confident guesses instead of an honest “I don’t know.”
Snacks:
School Rules: Current evals treat guessing as better than silence — so the models learn to bluff.
Pattern Genius, Fact Dummy: Pretraining nails repeatable stuff, flops on unique details.
New Scorecard: OpenAI says: dock points for confident wrong answers, reward safe passes.
Numbers Game: On a fact test, o4-mini nailed just 24%… but made errors 75% of the time.
IDK Power: GPT-5 Thinking models do better simply because they skip the guesses.
Press Spin: TechCrunch: incentives are the problem — change the rules, shrink hallucinations.
Why it Bites: You’ve all had it happen to you. The confident wrong answer from your AI.
Nobody wants that.
Everybody would prefer the model to just say “idk”.
If we could get better grading it could mean less “improv actor,” more “responsible friend”;
the kind of friend that admits when they don’t know instead of swearing France invented pizza.

Follow us on X 👇
AI SNACKS:
Veo 3
DeepSeek
xAI Drama
ScaleAI sues
DuckDuckGoLet's dig in: 🍭
— The Daily Bite 🍭 (@TheDailyBiteCo)
2:17 AM • Sep 5, 2025


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Steal This Prompt
📸 Surreal Product Ad in Studio Style
This prompt transforms everyday products into dreamy cinematic ads — with rich textures, clean lighting, and a surreal twist inside the packaging.
Centers your object. Adds a surreal reveal.
Keep it minimalist, premium, and brand-aware.
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Everything Else
🧠 You Need to Know
🧩 Ex-Scale AI exec launches AI Agent to fix enterprise data.
🧒 Google Gemini flagged ‘High Risk’ for kids and teens
🧪 OpenAI reshuffles team behind ChatGPT’s personality
🎬 Amazon-backed startup revives lost Orson Welles film with AI
→ Fable, funded by Amazon’s Alexa Fund, is reconstructing 43 missing minutes of The Magnificent Ambersons using its new long-form model.
⚖️ Warner Bros. sues Midjourney over Superman and Batman
🔥 Warner Bros is suing Midjourney!🔥
They've cited mine and @GaryMarcus' work as well, including that I was banned for criticizing the company.
This now means Midjourney is being sued by Warner Bros, Disney, Universal, and the class action from artists.
Let's gooo! 🔥
— Reid Southen (@Rahll)
3:02 AM • Sep 5, 2025

ToolBox™
🧰 5 AI Tools to Make Learning Feel Like Cheating
![]() Today’s ToolBox™ |
💯 100 Vibe Coding — 100 vibe‑coding challenges
→ Learn by doing: prototype in a live sandbox, share instantly, then follow step‑by‑step tutorials to ship your first real project.
🗣️ Fluently — AI English coach
→ Real-time help with vocabulary, pronunciation, and grammar so non-native pros sound confident on work calls.
🔬 SciSpace — Research AI agent
→ Explains papers, answers follow-ups, and helps with literature reviews and discovery.
🎓 nFactorial AI — Live tutoring from top minds
→ Book expert screen-share sessions for tailored mini-lectures on your topic.
📚 EverTutorAI — Voice AI tutor
→ Interactive lessons that adapt to your pace with instant feedback for test prep and tough concepts.

Cost of Doing Business
💰 Anthropic Buys Its Way Out
The Bite: Anthropic will pay $1.5 billion to settle claims it trained it’s AI models on copyrighted books.
After getting a $183B valuation last week, this may just be table scraps.
Snacks:
Record Bill: Largest publicly reported U.S. copyright settlement.
In June, Judge William Alsup said training on copyrighted works can qualify as fair use; the problem was pirated book downloads.
Who Gets Paid: ~500,000 authors, about $3,000 per work.
Not Enough: Critics argue nothing stops future scraping.
Next Up: The case adds pressure for clear copyright laws on AI training data.
Why it bites: Big settlements may deter obvious piracy (maybe…) but without clear rules, companies can still scrape with plausible deniability.
Sitting here thinking about what the long term solution could be…
We’ve seen a series of video generation models that are “trained on ethically sourced or licensed data”.
Is this possible for writing?
Absolutely.
The question: Can ethically trained AI ever rival models built on stolen work?

“Ethically trained AI video models”


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