Google Sets Huge Milestone For Quantum Computing 🍭

Today’s Menu 🥠

• Google Says AI Won’t Be Easy Anymore

• Why Letting AI Innovate For Us Poses Trouble

• How MIT is Using AI In Material Science Research

• Everything Else You Need To Know

Read Time: 3.5 minutes

Fast Snacks 🥡

Testing AI Agents Just Got a Whole Lot Easier Thanks to Databricks
Databricks just leveled up AI agent testing with synthetic data generation. Developers can now build and evaluate smarter agents in less time. Early adopters are seeing 60% improvement in model response quality.

A New AI Model By The Startup Ruliad Offers Transparent Model Reasoning
Ruliad’s latest open-source creation, DeepThought-8B, is a reasoning-focused AI that documents its thought processes in a structured JSON format. It also lets users tweak its reasoning steps with cool features like ‘Thought Routing’.

Repurposing On Autopilot
Build an online readership, distribute across the internet, and earn recurring organic traffic from Google with ArticleX by autonomously transforming videos, shorts, and podcasts into original articles…

Only The Tough Survive
Google Says AI Won’t Be Easy Anymore 👀

Google CEO Sundar Pichai says the low-hanging fruit of AI development is gone. Progress now demands breakthroughs, not just piling on data and compute.

He says scaling models with more data and compute power is losing its magic, a sentiment echoed by murmurs in the industry about diminishing returns. While Sundar doesn’t fully buy into the 'AI wall' theory, he agrees future advancements will need fresh ideas and deeper breakthroughs.

This will likely translate to more fierce startup competion as more try to edge there way into the market.

Innovation Trap
Why Letting AI Innovate For Us Poses Trouble 🔮

Generative AI is everywhere, dazzling us with its ability to spit out text, art, and designs in seconds, but when it comes to R&D and innovation, relying too much on AI could backfire.

AI is great at reducing time to discovery, but it’s still not very good at dreaming up the future. Real innovation breakthroughs often come from accidental discoveries paired with human intuition and empathy—things machines just don’t get. Working with AI is much more effective than letting AI work for us. 

Saddling AI with low-value, time intensive tasks makes sense, but overusing generative AI poses a risk to the future by producing cookie-cutter products and eroding creativity. Let AI assist, but keep human imagination in the driver’s seat.

Together with Rise

This Smart Home Company Hit $10 Million in Revenue—and It’s Just the Beginning

No, it’s not Ring or Nest—it’s RYSE, the company redefining smart home innovation, and you can invest for just $1.75 per share.

RYSE’s patented SmartShades are transforming how people control their window shades—offering seamless automation without costly replacements. With 10 fully granted patents and a pivotal Amazon court judgment safeguarding their technology, RYSE has established itself as a market leader in an industry projected to grow 23% annually.

This year, RYSE surpassed $10 million in total revenue, expanded to 127 Best Buy locations, and experienced explosive 200% month-over-month growth. With partnerships in progress with major retailers like Lowe’s and Home Depot, they’re set for even bigger milestones, including international expansion and new product launches.

This is your last chance to invest at the current share price before their next stage of growth drives even greater demand.

Final Call: Invest in RYSE Before the Round Ends!

Test Your Skill
Snack Quiz: Choose The Real Image 🔍

Materials Discovery Tool
How MIT is Using AI In Material Science Research 🔬

An MIT study found that AI-driven research teams discovered 44% more new materials and filed 39% more patents than their non-AI counterparts.

The system, which uses neural networks and reinforcement learning, excels at predicting promising combinations of materials for applications spanning healthcare to manufacturing. However, the top scientists who got the most out of the AI, also reported lower job satisfaction. Why? Because the AI took over much of the creative heavy lifting, leaving scientists to play more of a filtering role.

Progress is cool, but at what cost to creative fulfillment?

Trending Now
Everything Else You Need To Know 📈

Google Sets Huge Milestone For Quantum Computing: Google’s quantum computing chip, Willow, just completing a problem in five minutes that would take supercomputers 10 septillion years (yeah, that’s a real number, and it’s longer than the age of the universe.)

Nvidia Faces Antitrust Issues With China: Nvidia’s 2020 Mellanox acquisition is under fire in China, with claims of unmet antitrust conditions. Apparently, Nvidia’s been slacking on commitments to share product details with Chinese companies in a timely manner. Meanwhile, U.S. sanctions are adding more pressure.

Over Halfway To AGI, But Still Not There: AI researchers made serious gains on the ARC-AGI benchmark reaching 55.5%—a jump from the previous 33%. The ARC-AGI benchmark challenges AI systems to solve tasks they can’t prep for in advance. The $600k prize for hitting 85% remains unclaimed, proving AGI is still a ways away.

WaveForm AI Wants To Build 'Her'—Without the Drama: Alexis Conneau, the brains behind ChatGPT’s Advanced Voice Mode, founded WaveForms AI. Inspired by the movie 'Her', Conneau wants to create emotionally intelligent AI you can actually talk to (while trying to avoid the dystopia 'Her' warned us about).

OpenAI Launches Sora To Their Pro Users: OpenAI’s Sora lets ChatGPT Pro users create stunning 1080p, 20-second videos from text. Featuring storyboards, video remixing, and more. But the $200 a month price tag is pretty high…

Toolbox
5 Trending AI Tools

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