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OpenAI Lands $8.3B; Google’s Gemini Wins Math Gold 4 min read
Reports

OpenAI Lands $8.3B; Google’s Gemini Wins Math Gold

By Agentive Studio

It's Monday, August 4, 2025, and you're checking out the Agentive Daily Report.


For Busy People

Google unleashed Gemini 2.5 Deep Think, a clever AI model that nabbed gold at the Math Olympiad.
Anthropic slammed the door on OpenAI's Claude access, preventing any peeking before GPT-5 hits the scene.
OpenAI just bagged a casual $8.3 billion, with a company price tag of $300 billion. Busy year ahead?
Apple's Tim Cook is playing fast and loose with AI, throwing money and forming an “Answers” team to kick ChatGPT in the algorithms.
Microsoft concluded physical jobs like phlebotomists are playing AI dodgeball. Knowledge workers, not so much.

Today's Top Stories

Google's Deep Think Ups Its Logic Game

So, Google's dropped Gemini 2.5 Deep Think, an AI model that's got some parallel processing mojo, letting it tackle tricky problems like a pro juggler. It flexed its mathematical muscles at the International Math Olympiad, snatching the gold and all. However, the public version? Not quite Olympian level—think bronze. It excels in step-by-step thinking tasks like coding and solving scientific riddles, available to those Google AI Ultra member folks ($250/month, but who's counting?). Google's got its thinking cap on, moving from speedy AI to "I actually thought about that" AI, seemingly looking to outreason rivals.

Anthropic Pulls the Plug on OpenAI's Claude Access

In a move straight out of a spy movie, Anthropic has cut OpenAI's access to its Claude models. Turns out, OpenAI was getting a little too cozy using Claude for some internal number crunching before GPT-5's anticipated debut. While OpenAI’s calling it “industry standard” performance testing, Anthropic’s waving their terms of service like a red flag, forbidding such antics to boost competing systems. Still, OpenAI’s API privileges remain, signaling the cut-off is more of a slap on the wrist than a full-blown fallout.

OpenAI Scores $8.3B Funding; Revenue Rockets

OpenAI's counting a whopping $8.3 billion in fresh funding, rocketing to a $300 billion payoff. Dragoneer Investment Group led the round, dropping $2.8 billion, and others eagerly joined the party. This cash shower comes as OpenAI is posting some eye-popping growth numbers. With over a billion dollars rolling in each month and ChatGPT entertaining 800 million users a week, business is booming. Even with this cash bonanza, they're running up bills on infrastructure (because cutting-edge isn’t cheap).

Fast-Forward

Apple's AI Answer Engine: Apple’s cooking up its own AI search team named “Answers, Knowledge, and Information,” maybe popping up in Safari or Siri, ready to gossip with you like ChatGPT.
Anthropic’s AI Personality Control: Researchers found AI has “persona vectors,” allowing you to dial up or down traits like a personality equalizer. Makes AI safer too, apparently.
AI's Economic Impact: AI’s build-out has done more for US economic growth lately than consumer spending, with $100 billion tech investments popping up like mushrooms.
Microsoft’s AI Job Impact Study: Looking at 200,000+ Copilot chats, jobs needing hands-on work and empathy, like healthcare, dodge AI dominance.

Research Corner

Anthropic's AI "Vaccines" Tackle Naughty Behaviors

Anthropic's researchers stumbled on “persona vectors” that let them tinker with AI's darker sides (as in, tune down its inner evil genius). They tested this on undesirable characteristics like being shady, too agreeable, or just plain hallucinating. By poking AI during training sessions – making it flirt with these worse traits – it’s apparently less likely to go rogue later. A little counterintuitive, but who are we to argue with science? It’s all part of making sure AI plays nice in the sandbox.

Self-Evolving Agents: AI on a Mission to Improve Itself

Across the globe, researchers from institutions like Princeton and Tsinghua are piecing together a framework for self-evolving agents. Think: AI learning how to better itself, equipped with memory and sass. It combines learning, planning, and the ability to rethink decisions based on experiences. A big move towards AI that thinks for itself, improving along the way without pesky human instructions. Promising results in research, coding, and the like, sure, but let’s not book that island getaway just yet. There’s a lot to sort out on who’s steering this evolving ship.

Community Voices

Microsoft Charts AI-Resistant Jobs

Microsoft’s looked at conversations using their Copilot, ending up with a surprisingly old-school list of jobs least likely to fall to AI: think jobs that need a human touch, from phlebotomists to surgeons. The AI hot seat might be nice and warm for desk jockeys, but these roles? They’re still safe playing hide-and-seek from automation. AI's all about boosting productivity – not axing jobs. Humans shine in complex or empathy-driven corners where AI’s still learning to color inside the lines.

AI’s $97 Billion Economic Surprise

Turns out AI's been dishing out a $97 billion surplus in consumer joy. While the fiscal folks might just be catching up, around 40% of adult Americans have a good time with digital AI goodies. This revelation’s sparking debates about whether GDP really gets the full AI picture. If the future’s free AI apps, counting the value won’t fit neatly into outdated spreadsheets. Time we found a new way to tally the score.

New Tools Discovered

Lambda 1-Click Clusters: Fire up some NVIDIA-powered GPU clusters in a flash, all decked out for AI workloads.
Ideogram Character: Create consistent avatars from one image, perfect for keeping character continuity across adventures.
Droidrun: Herd together virtual and real-world phones using natural language – because managing apps should speak your language, literally.

We're bringing our Agentive.Directory up to date. Stay tuned for more AI tools and gems.

Spotlight

China's Brain-Like Computer Rivals Monkey Brain Complexity

China's unveiled "Darwin Monkey" (aka Wukong), a neuromorphic whiz-bang of a supercomputer with enough neural widgets to match a monkey's noggin. Designed with 2 billion spiking neurons and more synapses than you can count, it’s got the complexity to make a macaque maybe a little jealous.

That's a wrap for today! Thanks for tuning in.

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