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howdy, it’s Barsee again.
happy thursday, AI family, and welcome back to AI Valley.
here are the biggest things worth knowing today:
Google’s Pied Piper moment
Every top AI model failed
Plus trending AI tools, posts, and resources
Let’s dive into the Valley of AI…
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THROUGH THE VALLEY
1/ Google might’ve built Pied Piper for AI
Google researchers just unveiled a new AI compression method called TurboQuant, and yes, the internet immediately compared it to Pied Piper from Silicon Valley.
Honestly… fair.
Image source: Silicon Valley (HBO)
What’s happening?
Google says it has found a way to shrink one of AI’s biggest bottlenecks: working memory.
In simple terms, TurboQuant helps AI systems remember more while using less memory, without noticeably hurting performance.
Why is that a big deal?
Because AI is expensive for a very boring reason:
memory.
As models generate responses, they constantly store and reuse information in something called the KV cache. That memory fills up fast and gets expensive to run.
Google says TurboQuant could reduce that memory load by at least 6x.
If that holds up, it’s a huge efficiency gain.
Why are people calling it “Pied Piper”?
Because the comparison is weirdly accurate.
In HBO’s Silicon Valley, the fictional startup Pied Piper became famous for building a breakthrough compression algorithm.
TurboQuant is doing something similar, except instead of shrinking files, it’s shrinking the memory AI needs while it runs.
Same nerd fantasy. Different bottleneck.
Is this Google’s “DeepSeek moment”?
Some people think so.
Cloudflare CEO Matthew Prince called it that because, if it works in the real world, TurboQuant could make AI much cheaper and more efficient, similar to how DeepSeek shocked the industry by doing more with less.
What’s the catch?
It’s still early.
TurboQuant is a research breakthrough, not a widely deployed product yet.
And importantly, it only helps with inference (when AI is running), not training (when it’s being built), which still consumes absurd amounts of compute and memory.
What’s the real story?
Everyone keeps chasing bigger models. But the real advantage may come from making AI cheaper to run, not just more powerful.
If that’s true, this matters a lot more than it looks.
2/ New AI test drops… and every model flops
A new benchmark called ARC-AGI-3 just launched to test whether AI can figure out new tasks on the fly.
Almost every frontier model failed.
Image source: ARC Prize Foundation
What’s happening?
ARC-AGI-3 drops AI into unfamiliar interactive environments and asks it to solve puzzles it has never seen before.
Basically: can AI just figure it out like a human?
Not yet.
How bad was it?
Pretty bad.
Gemini 3.1 Pro: 0.37%
GPT-5.4: 0.26%
Claude Opus 4.6: 0.25%
Grok 4.2: 0%
Meanwhile, humans solved every environment on their first try.
Why does this matter?
Because this is much closer to what people actually mean by AGI.
Not answering trivia.
Not writing decent code.
But handling something completely new without special training.
Why are people watching this so closely?
Because ARC-AGI-3 is one of the only major AI benchmarks that isn’t already saturated.
In other words, models haven’t “solved” it yet.
That makes it one of the clearest places to spot a real jump in AI capability if and when it happens.
Is the test fair?
Debatable.
Some critics say the scoring is too harsh. ARC’s creator says that’s exactly the point: if AI needs prompts, scaffolding, and human setup to work, it’s not really general intelligence.
TRENDING TOOLS
Spoki > Create and manage marketing campaigns, sales, customers service via WhatsApp, SMS, and Voice using AI, just by writing a simple prompt (sponsored)
ARC AGI > The first interactive reasoning benchmark built to measure human-like intelligence in AI agents
Google Ads (Veo) > Veo is now available inside Google Ads for AI-powered video creation
Stitch 2.0 by Google > Turn ideas into beautiful, production-ready UI in seconds
Magine > Spawn vision-enabled AI agents that can autonomously browse the web
murmur > Practice tough phone calls with AI before making them in real life
Scouts for iOS > Always-on AI agents that monitor the web, now available on iOS.
WHAT I'M CONSUMING
INDUSTRY MOVES
Harvey raises $200M at $11B valuation led by GIC, Sequoia
Reflection AI said to seek $2.5B at $25B valuation as JPMorgan eyes participation
THE VALLEY GEMS
THAT’S ALL FOR TODAY
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